DEVICES, METHODS, AND SYSTEMS FOR A DISTRIBUTED RULE BASED AUTOMATED FAULT DETECTION

Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules. 1. A system for distributed rule based automated fault detection (AFD) , comprising: extract configuration data relating to an environment based on a number of defined rules; and', 'receive monitored data relating to the environment;, 'a data extractor engine configured toan AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment; anda fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.2. The system of claim 1 , wherein the environment includes a plurality of devices operating at a plurality of different locations.3. The system of claim 1 , wherein the data extractor is configured to standardize the monitored data relating to the environment.4. The system of claim 1 , wherein the AFD engine is configured to aggregate the monitored data for a time period.5. The system of claim 1 , wherein the AFD engine is configured to aggregate the monitored data based on profile data of the environment.6. The system of claim 1 , wherein the AFD engine is configured to:determine equipment within the environment based on the defined rules;determine a number of relationships between the equipment within the environment; anddetermine a number of groups for the equipment within the environment based on the number of relationships.7. A non-transitory computer readable ...

Consistent Interface for Business Transaction Authorisation Request and Rejected Direct Debits Post Processing Initiation Run

A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a business transaction authorisation request and a rejected direct debits post processing initiation run business object.

Screen resize for reducing power consumption

Embodiments disclosed herein provide systems, methods, and software for dynamically managing power consumption of a device capable of operating on battery power, or other power. In particular, the size of the viewable area of the display may be dynamically controlled to reduce the number of activated pixels to reduce power consumption. The resizing of the viewable area of a screen may also reduce the number of applications running, thereby reducing power consumption. An indication of the amount of operation time, battery indicator, and/or energy left in the battery may be presented, based at least in part on the dynamic resize of the display.

SYSTEM AND METHOD FOR ENHANCING SEARCH EXPERIENCE OF A USER OF A COMMUNICATION DEVICE

Embodiments of the present invention may enable a communication device to search for multiple results from a database by using a single search query. The communication device may include a display screen, a processor, and a memory coupled to the processor. The memory may include a database and an instruction set. The database may store contact information of one or more entities. Further, the instruction set may include instructions executable by the processor to scan a query received from a user to recognize special characters and wild cards in the query. Further, the instructions may divide the query into multiple sub-queries based on the use of the special characters in the query. Furthermore, the instructions may execute and display results of the sub-queries in a user friendly manner. 1. A system for searching multiple contacts from a single query having multiple sub-queries , the system comprising:a delimiter module configured to divide the single query into multiple sub-queries based upon predefined rules;a parser module configured to search for multiple contacts corresponding to each of the multiple sub-queries; anda display module configured to display the multiple contacts corresponding to the multiple sub-queries.2. The system of claim 1 , wherein the delimiter module is configured to divide the single query into the multiple sub-queries based upon predefined special characters within the single query.3. The system of claim 2 , wherein the special characters comprises a wildcard.4. The system of claim 1 , wherein the system is a communication device.5. The system of claim 1 , wherein the display module is configured to analyze size of a display screen of the system to display the multiple contacts corresponding to the multiple sub-queries.6. The system of claim 1 , wherein the display module if configured to analyze resolution of a display screen of the system to display the multiple contacts corresponding to the multiple sub-queries.7. The system of ...

Dynamic mirroring

One or more techniques and/or systems are provided for dynamic mirroring. A first storage node and the second storage node within a first storage cluster may locally mirror data between one another based upon a local failover partnership. The first storage node and a third storage node within a second storage cluster may remotely mirror data between one another based upon a primary disaster recovery partnership. If the third storage node fails, then the first storage node may remotely mirror data to a fourth storage node within the second storage cluster based upon an auxiliary disaster recovery partnership. In this way, data loss protection for the first storage node may be improved, such that the fourth storage node provide clients with access to mirrored data from the first storage node in the event the second storage node and/or the third storage node are unavailable when the first storage node fails.

Hydrosilylation Synthesis of Haloalkylorganosilanes Using Peroxide Promoters

This invention is directed to a process for producing a haloorganoalkoxysilane product comprising reacting an olefinic halide, an alkoxysilane, a catalytically effective amount of ruthenium-containing catalyst; and a reaction-promoting effective amount of a peroxy compound, optionally in the presence of an electron-deficient aromatic compound. 2. The process of claim 1 , wherein the olefinic halide is selected from the group consisting of allyl chloride claim 1 , methallyl chloride claim 1 , 3-chloro-1-butene claim 1 , 3 claim 1 ,4-dichloro-1-butene claim 1 , 2-chloropropene claim 1 , and combinations thereof.3. The process of claim 1 , wherein said alkoxysilane is selected from the group consisting of trimethoxysilane claim 1 , methyldimethoxysilane claim 1 , dimethylmethoxysilane claim 1 , triethoxysilane claim 1 , methyldiethoxysilane claim 1 , dimethylethoxysilane claim 1 , ethyldiethoxysilane claim 1 , diethylethoxysilane claim 1 , and combinations thereof.4. The process of claim 1 , wherein said reaction-promoting effective amount of said peroxy compound ranges from about 1 to about 2000 ppm claim 1 , based on the total weight of the reaction mass.5. The process of claim 1 , wherein said peroxy compound is selected from the group consisting of hydroperoxides claim 1 , dialkyl peroxides claim 1 , Group 14 hydroperoxides and peroxides claim 1 , diacyl peroxides claim 1 , ketone peroxides claim 1 , peroxy dicarbonates claim 1 , peroxy esters claim 1 , peroxy ketals claim 1 , and combinations thereof.6. The process of claim 5 , wherein said peroxy compounds have (T claim 5 , 1 h) values in the range 30-200° C.7. The process of claim 5 , wherein said hydroperoxides have the formula R—O—O—H or RC(O—O—H) claim 5 , wherein R is a C1 to C25 group that is linear or branched claim 5 , saturated or unsaturated claim 5 , cyclic claim 5 , aromatic or alkaryl.8. The process of claim 7 , wherein said hydroperoxides are selected from the group consisting of t-butyl ...

Extracting actionable information from emails

Systems and methods are provided for extracting actionable information from emails in a completely unsupervised manner with no need for the data to be labeled (i.e., the systems and methods do not a human to identify unlabeled or relabeled emails). Changes in the email structure are automatically incorporated to learn new templates through the novel concept of sub-templates. The systems and methods incorporate the minor variations in email structure seamlessly, without needing to introduce new templates. Email templates are computed as permutations of multiple sub-templates in the email, which allows the systems and methods to handle variations in email structure seamlessly and highly efficiently. These systems and methods are extendable to any domain using structured emails, and improve the efficiency of the systems that receive and act on information contained in emails.

System and method for approximating replication completion time

One embodiment provides a computer implemented method of estimating replication completion time. The method includes creating a historical dataset of prior replication data; determining a set of replication parameters to consider; inputting the historical dataset and the set of replication parameters to a replication completion time estimator module; generating a replication completion time prediction based on the historical dataset and the set of replication parameters; and generating a confidence prediction corresponding to the replication completion time prediction.

Blockchain-enabled datasets shared across different database systems

A system for integrating blockchain-enabled shared datasets across databases having varying formats and structures is disclosed. The system may include various entity systems in communication via a peer-to-peer network. A first entity system may receive a dataset update request to update the shared dataset. The first entity system may broadcast the dataset update request across the network, and one or more entity systems connected to the network may consent to the dataset update request. The consenting entity systems may broadcast the consented dataset update request to the other entity systems connected to the network. Each entity system may update its local copy of the shared dataset with the consented dataset update request. Each entity system may comprise a mapping module configured to reformat the consented dataset update request into a format that can be stored in a local data structure.

Systems, methods and computer program products for securing otps

The invention relates to methods, systems and computer program products for securing one time passwords (OTP) for use in OTP based authorization of electronic payment transactions. The invention involves transmission and display of an OTP at a user device in response to a prior determination that a user operating the user device is authorized to implement a payment transaction through a payment account associated with the payment transaction. The invention implements this through transmission to the user device associated with the identified payment account, a data message initiating a process for verification of identity of a user operating the user device. Responsive to determining that the user operating the user device is authorized to operate the payment account, displaying the OTP on the user device for implementation of the payment transaction.

IRRIGATION PLANNING SYSTEM

A computer-implemented method can include obtaining irrigation data. The method can further include obtaining a first set of watering rates. The method can further include generating a first set and a second set of soil moisture estimates. The first and second sets of soil moisture estimates can be based at least in part on the irrigation data. The method can further include obtaining a custom constraint and making a first determination that the first set of soil moisture estimates satisfies the custom constraint. The method can further include obtaining a moisture reference value in response to making the first determination. The moisture reference value can be based at least in part on the second set of soil moisture estimates. The method can further include making a second determination that the moisture reference value exceeds a first threshold, and generating an irrigation plan in response to making the second determination. 1. A computer-implemented method comprising:obtaining, by an irrigation planning system, irrigation data;obtaining, by the irrigation planning system, a first set of watering rates;generating, by the irrigation planning system, a first set of soil moisture estimates and a second set of soil moisture estimates, wherein the first set of soil moisture estimates and the second set of soil moisture estimates are based at least in part on the irrigation data;obtaining, by the irrigation planning system, a custom constraint;making a first determination, by the irrigation planning system, that the first set of soil moisture estimates satisfies the custom constraint; 'wherein the moisture reference value is based at least in part on the second set of soil moisture estimates;', 'obtaining, by the irrigation planning system, a moisture reference value in response to making the first determination,'}making a second determination, by the irrigation planning system, that the moisture reference value exceeds a first threshold; andgenerating, by the ...

SMART CAMERA FLASH SYSTEM

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a user equipment (UE) that includes a camera and a plurality of flash lights. The apparatus may detecting a real time light level of a scene. The apparatus may determine a flash light setting for the plurality of flash lights based on the detected real time light level. The flash light setting may include the operating voltage level for each of the plurality of flash lights and the number of the plurality of flash lights to be turned on. The apparatus may configure the plurality of flash lights based on the flash light setting. 1. A method of a user equipment (UE) including a plurality of flash lights , comprising:detecting a real time light level of a scene;determining a flash light setting for the plurality of flash lights based on the detected real time light level, the flash light setting comprising an operating voltage level for each of the plurality of flash lights and a number of the plurality of flash lights to be turned on; andconfiguring the plurality of flash lights based on the flash light setting.2. The method of claim 1 , further comprising capturing a video or snapshot of the scene with the configured plurality of flash lights.3. The method of claim 1 , wherein a position of each of the plurality of flash lights determines whether the flash light will be turned on.4. The method of claim 1 , wherein the operating voltage level is less than a maximum supply voltage.5. The method of claim 1 , wherein the real time light level of the scene is detected with a light sensor.6. The method of claim 1 , wherein the real time light level of the scene is detected by analyzing the scene with a machine learning algorithm.7. The method of claim 1 , wherein the flash light setting is determined based on a set of rules.8. The method of claim 1 , wherein the flash light setting is determined based on a look-up table.9. The method of claim 1 , ...

USING PULSE WIDTH MODULATION IN A SINGLE PHASE DRIVE SYSTEM

Embodiments herein disclose a method for enabling operation of a single phase induction motor, the method comprising applying space vector Pulse Width Modulation (PWM) to the single phase induction motor; determining pulse width using location of the space vector associated with space vector PWM; and enhancing voltage levels of the single phase induction motor for a particular DC bus voltage using the determined pulse width and the location of the space vector. 1. A method for enabling operation of a single phase induction motor , the method comprisingapplying space vector Pulse Width Modulation (PWM) to the single phase induction motor;determining pulse width using location of the space vector associated with space vector PWM; andenhancing voltage levels of the single phase induction motor for a particular DC bus voltage using the determined pulse width and the location of the space vector.2. The method claim 1 , as claimed in claim 1 , wherein a space angle of 90 degrees is present between windings of the single phase induction motor.3. The method claim 2 , as claimed in claim 2 , wherein said method further comprises dividing space between said windings into a plurality of sectors by a plurality of non-zero vectors.4. The method claim 1 , as claimed in claim 1 , wherein magnitude of a voltage space vector (Vs) achieves a maximum value of Vdc√2.5. The method claim 4 , as claimed in claim 4 , wherein said Vs is obtained by switching a first vector from said plurality of vectors for time duration (T1) and a second vector from said plurality of vectors for time duration (T2).6. The method claim 5 , as claimed in claim 5 , wherein said Vs is obtained for sectors I and IV in said plurality of sectors using{'br': None, 'i': 'T', '1=(|Vs|/Vdc)*Ts*(cos α−sin α)'}{'br': None, 'i': 'T', '2=(|Vs|/Vdc)*Ts*sin α'}Where Ts is switching time periodVdc is said DC bus voltage.7. The method claim 5 , as claimed in claim 5 , wherein said Vs is obtained for sectors II and V in said ...

Conference session management with mode selection

Methods, systems, and computer readable media for conference session management are described. A first request is received from a user device to join a conference session. The first request includes a credential and an indication that the user device is to join the conference session in a passive mode. The credential received from the user device is verified. Upon successful verification of the credential received from the user device, the user device is added to the conference session in the passive mode, wherein audio and video from the conference session are not transmitted to the user device. A user device state indicator associated with the user device is set to passive.

DEVICES, METHODS, AND SYSTEMS FOR A DISTRIBUTED RULE BASED AUTOMATED FAULT DETECTION

Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules. 1. A system for distributed rule based automated fault detection (AFD) , comprising: apply a condition to monitored data of a building environment that affects a fault state; and', 'determine whether the fault state is outside a range defined by a number of rules when the condition is applied, wherein the condition is not currently affecting an actual building environment; and, 'an AFD engine configured to aggregate fault states determined to be outside the range into groups of faults by marking a number of continuous fault segments over a time period; and', 'generate an output file to include a description of the number of continuous fault segments over the time period., 'a fault generation engine configured to2. The system of claim 1 , comprising a data extractor engine configured to:extract configuration data relating to the building environment based on the number of defined rules;receive the monitored data of the building environment; andstandardize the monitored data of the building environment.3. The system of claim 2 , wherein the AFD engine is configured to evaluate the monitored data in view of the configuration data to determine a state of the building environment.4. The system of claim 1 , wherein the AFD engine is configured to aggregate the fault states into the groups of faults based on a system associated with the building environment that a piece of equipment is associated with.5. ...

Plot evaluation for farm performance

An agricultural plot evaluation method, computer program product and system are provided. A processor receives a plot for evaluation. A processor determines one or more characteristics associated with the plot for evaluation. A processor identifies a plurality of similar plots based on at least one of the one or more characteristics associated with the plot for evaluation. A processor generates a prediction model for one or more features of the plurality of similar plots. A processor determines a score for the plot for evaluation based, at least in part, on the prediction model for one or more features of the plurality of similar plots.

EFFECTIVE AGRICULTURE AND ENVIRONMENT MONITORING

A computer-implemented method for effective agriculture and environment monitoring. The method may comprise measuring a desired variable over an area of interest using a remote inspection platform according to an inspection plan, predicting an occlusion of the remote inspection platform, and in response to the predicted occlusion, determining whether to invoke a local inspection platform to complete the inspection plan. The occlusion in some embodiments interrupts the inspection plan for the remote inspection platform. 118-. (canceled)19. A method for agriculture monitoring , comprising:measuring a specified variable over an area of interest using a remote inspection platform according to an inspection plan;receiving a prediction of an occlusion of the remote inspection platform; andin response to the predicted occlusion, determining whether to invoke a local inspection platform to complete the inspection plan.20. The method of claim 19 , wherein the local inspection platform comprises an autonomous vehicle.21. The method of claim 19 , wherein the received prediction comprises a cloud density and a cloud duration over the area of interest.22. The method of claim 20 , wherein the autonomous vehicle is associated with a quality factor; and further comprising:calculating a number of selected autonomous vehicles of the quality factor required to satisfy the inspection plan.23. The method of claim 22 , wherein the quality factor is chosen from the group consisting of a high-flying autonomous vehicle having a high camera resolution and a low-flying autonomous vehicle having a ground condition sensor.24. The method of claim 20 , further comprising pre-loading the autonomous vehicle with data claim 20 , states of computation claim 20 , and code segments from a base station.25. The method of claim 24 , further comprising:monitoring the area of interest during the occlusion; andreporting measurements to the base station during the occlusion.26. The method of claim 25 , ...

EXECUTION PROFILING DETECTION OF MALICIOUS OBJECTS

In an example, there is provided a system and method for execution profiling detection of malicious software objects. An execution profiling (EXP) engine may be provided in conjunction with a binary translation engine (BTE). Both may operate within a trusted execution environment (TEE). Because many malware objects make assumptions about memory usage of host applications, they may cause exceptions when those assumptions prove untrue. The EXP engine may proactively detect such exceptions via the BTE when the BTE performs its translation function. Thus, malicious behavior may be detected before a binary runs on a system, and remedial measures may be provided. 1. A computing apparatus , comprising:a memory including a process; and inspecting at least a portion of the process;', 'determining that the at least a portion of the process produces an exception condition; and', 'designating the process as potentially malicious., 'one or more logic elements comprising an execution profiling engine operable for2. The computing apparatus of claim 1 , wherein the execution profiling engine is provided at least partly in a trusted execution environment.3. The computing apparatus of claim 1 , wherein the execution profiling engine is further operable for subjecting the process to additional security analysis to identify malicious behavior.4. The computing apparatus of claim 3 , wherein subjecting the process to additional security analysis comprises subjecting the process to computerized deep inspection.5. The computing apparatus of claim 3 , wherein subjecting the process to additional security analysis comprises designating the process for analysis by a human security analyzer.6. The computing apparatus of claim 1 , wherein the execution profiling engine is implemented at least in hardware.7. The computing apparatus of claim 1 , further comprising a binary translation engine operable for translating the process from a first form into a second form.8. The computing apparatus of ...

Method and system for providing access to a service from a mobile computing device

A method, performed at a mobile device, for accessing a service, comprises: determining, from payment card information stored on or obtained at the mobile device, a list of services that are available in relation to the payment card; receiving a selection of one of the services; determining at least one corresponding communication channel by which the selected service is accessible; and opening the at least one corresponding communication channel to thereby access the service.

PEER-TO-PEER CONFIDENTIAL DOCUMENT EXCHANGE

Systems and methods for peer-to-peer secure document exchange are disclosed. The system may allow a document provider to securely transmit a certified document to a document verifier using decentralized storage. The verifier system may generate a session key pair and transmit the session public key to a trusted API provider. The trusted API provider may generate a session nonce. The verifier system may transmit the session nonce to the provider system. The provider system may use the session nonce to retrieve the session public key. The provider system may encrypt a certified document using the session public key and store the encrypted certified document in the decentralized storage. The verifier system may retrieve the encrypted certified document by polling the trusted API provider based on the session nonce. The verifier system may decrypt the encrypted certified document using the session private key. 1. A method , comprising:encrypting, by a provider system, a certified document using a session public key to generate a session encrypted certified document;uploading, by the provider system, the session encrypted certified document to a decentralized storage, wherein, in response to uploading the session encrypted certified document, the decentralized storage returns a session document locator;invoking, by the provider system, a trusted API provider by passing a session nonce and the session document locator,wherein, in response to being invoked, the trusted API provider stores the session document locator associated with the session nonce,wherein the trusted API provider receives a polling request comprising the session nonce from a verifier system,wherein, in response to receiving the polling request, the trusted API provider retrieves the session document locator based on the session nonce, andwherein, in response to retrieving the session document locator, the trusted API provider retrieves the encrypted certified document by querying the decentralized ...

ESTIMATION OF CROP TYPE AND/OR SOWING DATE

Method, apparatus, and computer program product are provided for estimating crop type and/or sowing date. In some embodiments, a historical crop growth time series and a plurality of simulated crop growth time series are determined, and the historical time series is matched against each simulated time series to determine an estimated crop type and/or sowing date. For example, one simulated time series may be determined for each crop type/sowing date combination within a set of one or more crop types and one or more sowing dates based on historical crop data. Each time series represents crop growth in an area of interest and comprises element(s) including crop-specific parameter(s), such as leaf area index (LAI). The historical time series may be determined based on remote sensor data. Each simulated time series may be determined using a crop growth simulation model and based on historical crop data, geospatial data, and weather data. 1. A method of estimating crop type and/or sowing date , the method comprising:providing a historical crop growth time series for an area of interest based on remote sensor data, wherein the remote sensor data include a time series of image data of the area of interest, and wherein the historical crop growth time series includes one or more elements including one or more crop-specific parameters;determining, for each crop type/sowing date combination within a set of one or more crop types and one or more sowing dates, a simulated crop growth time series for the area of interest using a crop growth simulation model and based on historical crop data, geospatial data, and weather data, wherein the geospatial data include agricultural information characterizing the area of interest, wherein the weather data include a weather time series representative of one or more weather conditions in a weather region associated with the area of interest, and wherein the simulated crop growth time series includes one or more elements including the one or ...

DEVELOPMENT OF GEO-SPATIAL PHYSICAL MODELS USING HISTORICAL LINEAGE DATA

One embodiment provides a method for recommending model characteristics to be used in developing a target geo-spatial physical model for a target geographic location utilizing historical lineage data corresponding to historical geo-spatial physical models, including: receiving information related to the target geographic location, wherein the information describes geographical and domain features of the target geographic location; identifying, using at least one similarity algorithm, at least one other geographic location that is similar to the target geographic location, wherein the at least one geographic location has at least one corresponding historical geo-spatial physical model; and recommending, using at least one machine-learning model and based upon the at least one other geographic location, initial model characteristics for developing and deploying the target geo-spatial physical model. 1. A method for recommending model characteristics to be used in developing a target geo-spatial physical model for a target geographic location utilizing historical lineage data corresponding to historical geo-spatial physical models , the method comprising:receiving information related to the target geographic location, wherein the information describes geographical and domain features of the target geographic location;identifying, using at least one similarity algorithm, at least one other geographic location that is similar to the target geographic location, wherein the at least one geographic location has at least one corresponding historical geo-spatial physical model; andrecommending, using at least one machine-learning model and based upon the at least one other geographic location, initial model characteristics for developing and deploying the target geo-spatial physical model, wherein the initial model characteristics comprise (i) at least one input data source, (ii) at least one data transformation, (iii) at least one model, and (iv) at least one model ...

HYBRID IDENTITY AS A SERVICE FOR DECENTRALIZED BROWSER BASED WALLETS

A hybrid identity service system is disclosed. The system may receive a transaction request. The system may generate a first passcode and a second passcode. The system may decrypt a first encrypted private key with the first passcode to recover a private key. The system may sign the transaction request with the private key and may encrypt the private key with the second passcode to generate a second encrypted private key. 1. A method comprising:receiving, by the system, a transaction request;generating, by the system, a first passcode and a second passcode;decrypting, by the system, a first encrypted private key with the first passcode to recover a private key;signing, by the system, the transaction request with the private key; andencrypting, by the system, the private key with the second passcode to generate a second encrypted private key.2. The method of claim 1 , further comprising:receiving, by the system, an account creation request including a user ID, a password, and an account creation information;hashing, by the system, the user ID and password to produce a password hash;storing, by the system, the password hash in a repository as a stored password hash; andassociating, by the system, the stored password hash with the account creation information.3. The method of claim 2 , further comprising:hashing, by the system, the account creation information to generate a hashed account information;generating, by the system, the first passcode in response to the hashed account information; andencrypting, by the system, the first passcode as a function of the hashed account information to generate a first encrypted passcode.4. The method of claim 3 , further comprising:storing, by the system, the first encrypted passcode in the repository; andassociating, by the system, the first encrypted passcode with one of the hashed account information or the password hash.5. The method of claim 4 , further comprising:comparing, by the system, the password hash and the stored ...

DEVICES, METHODS, AND SYSTEMS FOR A DISTRIBUTED RULE BASED AUTOMATED FAULT DETECTION

Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules. 1. A method for fault detection in a building management system that includes equipment operating in an environment , the method comprising:collecting data from equipment of the building management system, wherein the collected data is based on an ontology of the equipment within the environment;conditioning the collected data;determining equipment faults based on the conditioned collected data;aggregating the determined equipment faults into groups of faults based on a time of occurrence of each of the determined equipment faults;generating a fault description for at least some of the determined equipment faults; andreporting at least some of the determined equipment faults with the corresponding fault description.2. The method of claim 1 , further comprising aggregating the determined equipment faults into groups of faults based on a type of equipment that generated each of the determined equipment faults.3. The method of claim 1 , wherein aggregating equipment faults further comprises marking a number of continuous fault segments.4. The method of claim 3 , further comprising:determining which of the determined equipment faults need repair and/or maintenance based on the marked continuous fault segments.5. The method of claim 1 , wherein aggregating the determined equipment faults into groups of faults based on the time of occurrence of the determined equipment faults includes aggregating the ...

DEVICES, METHODS, AND SYSTEMS FOR A DISTRIBUTED RULE BASED AUTOMATED FAULT DETECTION

Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules. 1. A method for fault detection in a building management system that includes equipment operating in an environment , the method comprising:collecting data from equipment of the building management system, wherein the collected data is based on an ontology of the equipment within the environment and on one or more points of interest specified by a user;conditioning the collected data;determining equipment faults based on the conditioned collected data;aggregating equipment faults into groups of faults based on a type of equipment that generated the faults;generating a fault description for at least some of the faults; andreporting at least some of the faults with the corresponding fault description.2. The method of claim 1 , wherein the collected data is conditioned by structuring the collected data for use by a fault detection engine that determines one or more of the equipment faults based on the conditioned collected data.3. The method of claim 1 , wherein one or more of the equipment faults are determined based on the conditioned collected data and one or more rules defined by the user.4. The method of claim 3 , wherein the one or more rules defined by the user are stored in a reusable library.5. The method of claim 1 , wherein the equipment faults are aggregated into groups based on a fault detection window defined by the user.6. The method of claim 1 , wherein aggregating equipment faults ...

Estimating Replication Completion Time Using Machine Learning Techniques

Methods, apparatus, and processor-readable storage media for estimating replication completion time using machine learning techniques are provided herein. An example computer-implemented method includes obtaining, from one or more data deduplication storage systems, data related to one or more historical replication operations; generating at least one curve fitting function by processing at least a portion of the obtained data using one or more machine learning techniques; generating an estimate for completion time of at least one unexecuted replication operation associated with at least one of the one or more data deduplication storage systems by processing input data from the at least one data deduplication storage system using the at least one curve fitting function; and performing one or more automated actions based at least in part on the generated estimate.

System and method for probabilistically forecasting health of hardware in a large-scale system

Embodiments described herein relate to a method for probabilistically forecasting the state of hardware components. The method may include obtaining data items corresponding to a hardware component and performing an analysis of the hardware component. The analysis may include making a variety of probability predictions as to whether a label from among a set of possible labels is likely to be the correct label. The set of probabilities from the aforementioned analysis are then analyzed to determine which predicted label has the tightest range, and the prediction with the tightest range for a certain label is displayed to a user in a ranked fashion that includes a quantity of such probability prediction ranges. Such a display may allow an administrator to take action as to which hardware components should be replaced and in what order.

System and method for survival forecasting of disk drives using semi-parametric transfer learning

Embodiments are directed to a method and system of forecasting a disk drive survival period in a data storage network, by obtaining operating system data and manufacturer data for the disk drive to create a dataset, screening the dataset to identify a number of features to be selected for model creation, wherein the data set includes censored data and non-censored data, and performing, in an analytics engine, semi-parametric survival analysis on the data set using transfer learning on the model to provide a time-based failure prediction of the disk drive. A graphical user interface provides to a user the failure prediction in one of text form or graphical form.

DYNAMIC MIRRORING

One or more techniques and/or systems are provided for dynamic mirroring. A first storage node and the second storage node within a first storage cluster may locally mirror data between one another based upon a local failover partnership. The first storage node and a third storage node within a second storage cluster may remotely mirror data between one another based upon a primary disaster recovery partnership. If the third storage node fails, then the first storage node may remotely mirror data to a fourth storage node within the second storage cluster based upon an auxiliary disaster recovery partnership. In this way, data loss protection for the first storage node may be improved, such that the fourth storage node provide clients with access to mirrored data from the first storage node in the event the second storage node and/or the third storage node are unavailable when the first storage node fails. 1. A system for dynamic mirroring , comprising: maintain a local write cache partition for caching local I/O operation cache data processed by the first storage node;', 'maintain a local mirroring write cache partition for storing local mirrored data from the second storage node based upon the local failover partnership;', 'maintain a primary remote mirroring write cache partition for storing primary mirrored data from the third storage node based upon the primary disaster recovery partnership; and', 'maintain an auxiliary remote mirroring write cache partition for storing auxiliary mirrored data from the fourth storage node based upon the auxiliary disaster recovery partnership., 'a mirroring component hosted on a first storage node within a first storage cluster, the first storage node having a local failover partnership with a second storage node within the first storage cluster, the first storage node having a primary disaster recovery partnership with a third storage node within a second storage cluster, the first storage node having an auxiliary disaster ...

Smart lock system

A smart lock system that includes a smart lock that electronically locks and unlocks a door and a server that outputs a command to the smart lock to lock or unlock the door via the internet in response to an instruction received via the internet from a user device. The user device may also (simultaneously) directly transmit an instruction to the smart lock (e.g., via Bluetooth). The user device may also directly transmit an instruction to the smart lock to unlock the door in response to a determination that the user device is within a predefined geofenced region around the smart lock. The smart lock may also include a keypad. The smart lock may also include a camera that captures images and output those images to the server for transmittal to the user device. The smart may also include a motion sensor and capture images in response to detected motion.

Devices, methods, and systems for a distributed rule based automated fault detection

Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Selective area chemical vapor deposition

ABSTRACT OF THE DISCLOSURE A fluid dynamic method and apparatus effects the isolation of a predetermined deposition area in a hot-walled chemical vapor deposition chamber and limits the deposition to that area. The disclosed technique reduces stress and cracking in materials produced by chemical vapor deposition, prevents backside growth, and has particular utility in the fabrication by the chemical vapor deposition process of large, lightweight mirrors.

Peer-to-peer confidential document exchange

Systems and methods for peer-to-peer secure document exchange are disclosed. The system may allow a document provider to securely transmit a certified document to a document verifier using decentralized storage. The verifier system may generate a session key pair and transmit the session public key to a trusted API provider. The trusted API provider may generate a session nonce. The verifier system may transmit the session nonce to the provider system. The provider system may use the session nonce to retrieve the session public key. The provider system may encrypt a certified document using the session public key and store the encrypted certified document in the decentralized storage. The verifier system may retrieve the encrypted certified document by polling the trusted API provider based on the session nonce. The verifier system may decrypt the encrypted certified document using the session private key.

Selective area chemical vapor deposition

ABSTRACT OF THE DISCLOSURE A fluid dynamic method and apparatus effects the isolation of a predetermined deposition area in a hot-walled chemical vapor deposition chamber and limits the deposition to that area. The disclosed technique reduces stress and cracking in materials produced by chemical vapor deposition, prevents backside growth, and has particular utility in the fabrication by the chemical vapor deposition process of large, lightweight mirrors.

Estimation of crop type and/or sowing date

Method, apparatus, and computer program product are provided for estimating crop type and/or sowing date. A historical crop growth time series and a plurality of simulated crop growth time series are determined, and the historical time series is matched against each simulated time series to determine an estimated crop type and/or sowing date. For example, one simulated time series may be determined for each crop type/sowing date combination within a set of one or more crop types and one or more sowing dates based on historical crop data. Each time series represents crop growth in an area of interest and comprises element(s) including crop-specific parameter(s), such as leaf area index (LAI). The historical time series may be determined based on remote sensor data. Each simulated time series may be determined using a crop growth simulation model and based on historical crop data, geospatial data, and weather data.

Internet enabled computer system management

System configuration is verified. Configuration information for a managed system is generated. The configuration information indicates existing software and hardware residing on the managed system. The configuration information is sent from the managed system to a management system. The management system compares the configuration information from the managed system with database information that indicates software and hardware supported by the management system in order to generate validity information that indicates any software or hardware on the managed system that is not supported by the management system. The validity information is sent from the management system to the managed system.

Process for producing zinc sulfide

An improved chemical vapor deposition (CVD) process which is capable of providing low-scatter water-clear zinc sulfide bulk material is described. The improved method also minimizes bowing, or induced curvature, in the product bulk material. The product zinc sulfide material can be processed into thicker windows and optical devices than was possible with the articles produced by the previous CVD process. The improved process provides for a controlled gradual initial ramping up of the deposition rate and a controlled initial ramping down of the substrate temperature.

Precision replication by chemical vapor deposition

Auto-generating news headlines based on climate, carbon and impact predictions

A method and system generate news headlines from user input parameters. The user input parameters include a specified geographic region of interest and an industry of interest. Climate data and carbon emissions data for the specified geographic region of interest is retrieved. Supply chain dependencies are determined. A machine learning model is generated using the specified geographic region of interest, the industry, the climate data, the carbon emissions data, and the supply chain dependencies. The machine learning model performs an impact analysis on a supply chain based on the climate data and the carbon emissions data. The machine learning model predicts a supply chain performance for the industry based on the impact analysis. A news headline is automatically generated describing the predicted supply chain performance. The news headline includes an underlying basis for the predicted supply chain performance.

Method and apparatus for producing free-standing silicon carbide articles

A process of producing relatively large, dense, freestanding silicon carbide articles by chemical vapour deposition is enabled by the provision of specially designed isolation devices (50). These devices segregate silicon carbide deposits (57) on the intended portions of substrates (42), thereby alleviating the need to fracture heavy silicon carbide deposits in order to remove, or otherwise move, the substrate, with the heavy deposit thereon, from the deposition furnace. The isolation devices enable the use of more efficient vertically extended vacuum furnaces. The isolation devices also enable the commercial production of relatively dense, large, thin-walled, silicon carbide shells.

Extensible software release management automation service

Technologies are disclosed herein for automated software release lifecycle management. In particular, a software release management network service is disclosed that provides functionality for allowing a software developer to automate aspects of a software release pipeline. A software release pipeline can have multiple stages, each of which can have multiple actions. The actions can include internal actions that utilize network services internal to a service provider network. The actions can also include external actions that utilize network services that are external to a service provider network. The internal and external actions can perform various release-related functions, such as obtaining source code, building the source code, deploying built program code, and for performing tests. Stage gates and/or action gates can also be defined for conditional execution of the next stage or action in a software release pipeline, respectively. A gate bypass can also be specified to override stage or action gates.

Synchronization for a modeling system

Design synchronization for a High-Level Modeling System (“HLMS”) of an integrated circuit device (“IC”) is described. In a method for generating a netlist, a description of a first circuit block of a user design is input to a programmed computer system programmed with a computer-aided modeling system. The description includes output port information of the first circuit block and synchronization signal information. The computer-aided modeling system selects a circuit core for the first circuit block responsive to output port information and the synchronization signal information, the circuit core including port metadata. The computer-aided modeling system selects at least one macro responsive to the port metadata for generation of the netlist. The macro is for rate synchronized coupling of the first circuit block to a second circuit block of the user design. The computer-aided modeling system outputs the netlist including the macro.

Hybrid identity as a service for decentralized browser based wallets

A hybrid identity service system is disclosed. The system may receive a transaction request. The system may generate a first passcode and a second passcode. The system may decrypt a first encrypted private key with the fist passcode to recover a private key. The system may sign the transaction request with the private key and may encrypt the private key with the second passcode to generate a second encrypted private key.

Auto-discovery of reasoning knowledge graphs in supply chains

Methods, systems, and computer program products for auto-discovery of reasoning knowledge graphs in supply chains are provided herein. A computer-implemented method includes obtaining a spatiotemporal query related to a demand of at least one product in a supply chain; analyzing the spatiotemporal query to identify one or more parameters affecting the demand of the at least one product, wherein the one or more parameters comprise at least one of one or more climate parameters and one or more disruptive event parameters; generating a knowledge graph comprising information indicating an impact on the demand of the at least one product for at least a portion of the one or more parameters; and outputting, to a user interface, an explanation of a predicted demand forecast for the at least one product based at least in part on the knowledge graph.

Estimation of crop pest risk and/or crop disease risk at sub-farm level

Method，apparatus，and computer program product are provided for estimating crop pest risk and/or crop disease risk at sub-farm level. In some embodiments，a farm region is determined based on farm definition data，and input data associated with the farm region are retrieved from a plurality of data sources. The input data may include a plurality of pixel sets. In some embodiments, for each pixel sets，crop risk data are determined based on the input data using one or more spatiotemporal regression models. The crop risk data may include an estimate of crop pest risk and/or crop disease risk for each pixel sets. In some embodiments, the farm region is categorized into a plurality of sub-farm each defining a risk level category for that sub-farm based on the crop risk data. In some embodiments, the sub-farms are displayed as a visual heat-map，along with recommended antidote options.

Estimation of crop pest risk and/or crop disease risk at sub-farm level

Method，apparatus，and computer program product are provided for estimating crop pest risk and/or crop disease risk at sub-farm level. In some embodiments，a farm region is determined based on farm definition data，and input data associated with the farm region are retrieved from a plurality of data sources. The input data may include a plurality of pixel sets. In some embodiments, for each pixel sets，crop risk data are determined based on the input data using one or more spatiotemporal regression models. The crop risk data may include an estimate of crop pest risk and/or crop disease risk for each pixel sets. In some embodiments, the farm region is categorized into a plurality of sub-farm each defining a risk level category for that sub-farm based on the crop risk data. In some embodiments, the sub-farms are displayed as a visual heat-map，along with recommended antidote options.

Interaction neural network for providing feedback between separate neural networks

A method for providing feedback between separate neural networks to predict crop yield of a polyculture by combining the crop yield predictions from the neural networks is described. The method includes configuring a set of neural networks, each neural network in the set of neural networks predicting crop yield for a respective crop from a set of crops based on a set of crop growth time series, one crop growth time series for each respective crop, the set of crops being grown in a polyculture. A crop simulator generates the set of crop growth time series based on application rates of farm inputs that are provided to the crop simulator. The method further includes determining a predicted crop yield of the polyculture at a timepoint after a predetermined duration by iteratively changing and applying application rates of farm inputs based on the crop growth time series.

Estimating replication completion time using machine learning techniques

Methods, apparatus, and processor-readable storage media for estimating replication completion time using machine learning techniques are provided herein. An example computer-implemented method includes obtaining, from one or more data deduplication storage systems, data related to one or more historical replication operations; generating at least one curve fitting function by processing at least a portion of the obtained data using one or more machine learning techniques; generating an estimate for completion time of at least one unexecuted replication operation associated with at least one of the one or more data deduplication storage systems by processing input data from the at least one data deduplication storage system using the at least one curve fitting function; and performing one or more automated actions based at least in part on the generated estimate.

Hybrid identity as a service for decentralized browser based wallets

A hybrid identity service system is disclosed. The system may receive a transaction request. The system may generate a first passcode and a second passcode. The system may decrypt a first encrypted private key with the first passcode to recover a private key. The system may sign the transaction request with the private key and may encrypt the private key with the second passcode to generate a second encrypted private key.

Execution profiling detection of malicious objects

In an example, there is provided a system and method for execution profiling detection of malicious software objects. An execution profiling (EXP) engine may be provided in conjunction with a binary translation engine (BTE). Both may operate within a trusted execution environment (TEE). Because many malware objects make assumptions about memory usage of host applications, they may cause exceptions when those assumptions prove untrue. The EXP engine may proactively detect such exceptions via the BTE when the BTE performs its translation function. Thus, malicious behavior may be detected before a binary runs on a system, and remedial measures may be provided.

Hybrid identity as a service for decentralized browser based wallets

Disclosed are various embodiments for a service for decentralized browser based wallets. Various embodiments of the present disclosure can receive a first passcode and a second passcode from a security provider device. Various embodiments can use a cryptowallet to decrypt a first encrypted private key using the first passcode to generate a decrypted private key. Various embodiments can use a cryptowallet to sign a transaction request with the decrypted private key. Various embodiments can use a cryptowallet to generate a second encrypted private key by encrypting the decrypted private key using the second passcode.

Sine triangle pwm in single phase system

Embodiments herein disclose a method and a single phase motor for using Pulse Width Modulation (PWM), the method comprising applying a modulating wave to each arm of a drive of the single phase motor, wherein a second modulating wave leads a first modulating wave by 90 degrees and a third modulating wave lags the first modulating wave by 90 degrees; comparing instantaneous magnitude of carrier wave and instantaneous magnitude of the modulating waves on each arm; and switching voltage level at a motor terminal connected to an arm to +Vdc on instantaneous magnitude of the carrier wave being greater than the instantaneous magnitude of the modulating wave on the arm.

Dateienverschlüsselung

Managing system power

Using pulse width modulation in a single phase drive system

Embodiments herein disclose a method for enabling operation of a single phase induction motor, the method comprising applying space vector Pulse Width Modulation (PWM) to the single phase induction motor; determining pulse width using location of the space vector associated with space vector PWM; and enhancing voltage levels of the single phase induction motor for a particular DC bus voltage using the determined pulse width and the location of the space vector.

Dynamic mirroring

Internet enabled computer system management

Methods for using the Internet to create applications that perform many of the functions now performed by management platforms and third party add-on tools in a much simpler manner are described herein. The applications are easier to use by novices than known tools and lower the overall cost of system management. Using known system components, the system's configuration can be viewed or changed over the Internet using an HTML document to list and display the managed systems, together with icons that represent the state of the managed systems. By using “active controls” or Java scripts, the state of the managed systems can be dynamically updated by changing the color of associated icons or the displayed text. Using embedded commands or identifiers within template documents, a program can be created to automatically acquire needed system information. In another embodiment, an HTML CGI document containing desired system information and a reference link back to the system at the manufacturer's selected site is created, allowing the manufacturer's system to retrieve this system information automatically. The system information is then analyzed against a list of currently valid system configurations to detect potential problems. In turn, if potential problems are detected, the information is sent back to the managed system automatically.

Methods and systems for connecting with a customer service representative for a financial transaction

Embodiments provide methods, and server systems connecting with a customer service representative/agent for a financial transaction. A method includes sending, by a server system, a message related to a financial transaction to a user device using a messaging protocol. The message includes at least one option to receive a response of the message from the user device for connecting with an agent. The method includes receiving the response of the message from the user device. The response includes an authentication data. The method includes verifying the authentication data. Upon successful verification, the method includes electronically extracting at least one context of the message from the response. The method includes sending the at least one context to a Customer Service Centre (CSC) server. The CSC server is configured to assign the agent to the user based on the at least one context for an upcoming conversation about the message.

Polypropylene container for intravenous fluid

An Intravenous fluid Polypropylene Container with Helmet Head [5 &6] relates generally to the therapeutic medical apparatus and more particularly to achieving the highest standard of sterilization at one hundred and twenty-one (121) degrees centigrade for fifteen (15) minutes in the polypropylene material containing intravenous fluid. The helmet head [5.2] shaped dispensing end solves the leakage problem in the container. The radial sealing [7.3] over the helmet head [5.2] provides strength in keeping the intravenous fluid within the container and solves the leakage problem. The leak-proof duel circular pricking nozzle ports [8.1 & 8.2] provide a softer wall enabling easier pricking and the other nozzle provides pressure maintenance for the intravenous fluid flow.

Estimation of crop pest risk and/or crop disease risk at sub-farm level

Method，apparatus，and computer program product are provided for estimating crop pest risk and/or crop disease risk at sub-farm level. In some embodiments，a farm region is determined based on farm definition data，and input data associated with the farm region are retrieved from a plurality of data sources. The input data may include a plurality of pixel sets. In some embodiments, for each pixel sets，crop risk data are determined based on the input data using one or more spatiotemporal regression models. The crop risk data may include an estimate of crop pest risk and/or crop disease risk for each pixel sets. In some embodiments, the farm region is categorized into a plurality of sub-farm each defining a risk level category for that sub-farm based on the crop risk data. In some embodiments, the sub-farms are displayed as a visual heat-map，along with recommended antidote options.

System and method for probabilistically forecasting health of hardware in a large-scale system

Embodiments described herein relate to a method for probabilistically forecasting the state of hardware components. The method may include obtaining data items corresponding to a hardware component and performing an analysis of the hardware component. The analysis may include making a variety of probability predictions as to whether a label from among a set of possible labels is likely to be the correct label. The set of probabilities from the aforementioned analysis are then analyzed to determine which predicted label has the tightest range, and the prediction with the tightest range for a certain label is displayed to a user in a ranked fashion that includes a quantity of such probability prediction ranges. Such a display may allow an administrator to take action as to which hardware components should be replaced and in what order.

High yielding stable plant of Rosa damascena, called ‘Ranisahiba’

The invention provides a novel half-sib damask rose progeny christened as ‘Ranisahiba’ and characterized by its doubled per se oil content and oil yield, high flower biomass with synchronous flowering and firmly fixed morphophysiological plant-traits.

Dynamic mirroring

One or more techniques and/or systems are provided for dynamic mirroring. A first storage node and the second storage node within a first storage cluster may locally mirror data between one another based upon a local failover partnership. The first storage node and a third storage node within a second storage cluster may remotely mirror data between one another based upon a primary disaster recovery partnership. If the third storage node fails, then the first storage node may remotely mirror data to a fourth storage node within the second storage cluster based upon an auxiliary disaster recovery partnership. In this way, data loss protection for the first storage node may be improved, such that the fourth storage node provide clients with access to mirrored data from the first storage node in the event the second storage node and/or the third storage node are unavailable when the first storage node fails.

Intelligent execution of compute intensive numerical simulation models

In a method for intelligently executing predictive simulator, a processor may input a previous input vector of conditions for a predictive simulator collected at a first time into a machine-learning (ML) model. A processor may input a current input vector of conditions for the predictive simulator collected at a second time into the ML model. A processor may determine using the ML model, a binary similarity index. The binary similarity index represents a prediction of similarity between a first output from the predictive simulator based on the previous input and a second output from the predictive simulator based on the current input.

Method and system for managing power of a system, and computer-readable medium embodying instructions for managing power of a system

Rechner Systemverwaltung über das Internet

Method and apparatus for competitive advantages of data science tools

METHOD AND APPARATUS FOR COMPETITIVE ADVANTAGES OF DATA SCIENCE TOOLS Data science in the modern age is the processing and analysis of data we produce for different insights that will support a variety of business purposes. In this invention we are used decision making factor and decision ranking factor with fuzzy set and softest based decision. In Industry sector various applications used of data science tools like Apache Spark or simply Spark, BigML, MATLAB, SAS, Tableau, Python etc. In this invention outcomes are more efficient and accurate. This invention the research findings we conducted by laying out a data science framework for efficiency of data science tools. The proposed framework a fuzzy soft algorithm to improve possible data science tools efficiency. The proposed invention has a parameter of fuzzy soft set values like Reporting and Business Intelligence, Predictive Modeling and Machine Learning, Artificial Intelligence by using a fuzzy soft algorithm. The invention ensures that the proper help reaches the business growth. 1/4 Drawinjjs Set of Data Science ToolsI A={A1,A2,A3, ,A.} I Python Al I Apache Spark A2 I MATIJ\B A3 BigML SAS I A, ----------------------------------------- Set of Parameters of Data Science Tools E={e1,e2,e3,e4} IFigurelilnputs Data Science Tools and it's Parameters - - - - - - - - - - - - - - - - - - - - -

Detecting and managing anomalies in underground sensors for agricultural applications

A method may include simulating, by one or more environmental models, an expected output of the one or more sensors; responsive to identifying that an actual output of the one or more sensors differs from the expected output by a threshold value, detecting one or more anomalous sensors; and performing one or more actions to manage the one or more anomalous sensors based on the presence of the one or more sensors within a plurality of anomaly reaction zones.

Detektieren und verwalten von anomalien in erdverlegten sensoren fürlandwirtschaftliche anwendungen

Ein Verfahren kann umfassen: Simulieren eines erwarteten Ausgabewertes des einen oder mehrerer Sensoren durch ein oder mehrere Umweltmodelle; Detektieren eines oder mehrerer anomaler Sensoren als Reaktion auf ein Feststellen, dass sich ein aktueller Ausgabewert des einen oder mehrerer Sensoren um einen Schwellenwert von dem erwarteten Ausgabewert unterscheidet; und Ausführen einer mehrerer Aktionen zum Verwalten des einen oder mehrerer anomaler Sensoren auf der Grundlage des Vorhandenseins des einen oder mehrerer Sensoren innerhalb einer Mehrzahl anomal reagierender Zonen.

Novel, high yielding stable Mentha arvensis plant named ‘Damroo’

A novel Mentha arvensis mint population-variety ‘Damroo’ capable of producing viable seeds and phenotypically homogeneous seed-derived plant population when cross pollinated within its own population and capable of high yield of mint oil.

Verfahren zum verwenden von kontextbezogenen informationen

Vorrichtungen, Systeme und Verfahren zum Angeben von kontextbezogenen Informationen, die von verfügbaren logischen Prozessoren zu verwenden sind, werden offenbart. Bei mindestens einer Ausführungsform ist eine oder sind mehrere Schaltungen ausgestaltet, um eine Anwendungsprogrammierschnittstelle (API) auszuführen, um einen ersten Satz von kontextbezogenen Informationen anzugeben, die von einer ersten Teilmenge von verfügbaren Prozessoren zu verwenden sind.

Development of geo-spatial physical models using historical lineage data

One embodiment provides a method for recommending model characteristics to be used in developing a target geo-spatial physical model for a target geographic location utilizing historical lineage data corresponding to historical geo-spatial physical models, including: receiving information related to the target geographic location, wherein the information describes geographical and domain features of the target geographic location; identifying, using at least one similarity algorithm, at least one other geographic location that is similar to the target geographic location, wherein the at least one geographic location has at least one corresponding historical geo-spatial physical model; and recommending, using at least one machine-learning model and based upon the at least one other geographic location, initial model characteristics for developing and deploying the target geo-spatial physical model.

Techniques for using contextual information

Apparatuses, systems, and techniques to indicate contextual information to be used by available logical processors. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to indicate a first set of contextual information to be used by a first subset of available processors.

コンピュータプログラム、コンピュータ実装方法、装置（気候データのモデリングのための機械学習の使用）

【課題】気候データをモデリングするための機械学習を使用する技術が開示される。【解決手段】１つの例において、コンピュータ実装方法は、複数の空間成分と複数の時間成分とを含む気候データを受信する段階と、気候データの一部をマスキングする段階とを備える。機械学習モデルは訓練され、訓練は気候データのマスキングされた部分に少なくとも部分的に基づく。気候データのベクトル表現は機械学習モデルを介して生成される。処理デバイスを備える装置、およびコンピュータプログラムも開示される。【選択図】図７

Bookkeeping of download timestamps

Systems, methods and computer program products for bookkeeping of download stamps are described herein. An embodiment includes augmenting database table (or mobile business object) metadata with a synchronization (“sync”) key and assigning a unique identifier to each sync key. A sync key is assigned to one or more rows (or records) in the database table and a download timestamp is associated with each sync key. The embodiment further includes identifying a sync key associated with each row in the database table. Links between rows occurring in different database tables are maintained using sync keys. In this way, embodiments of the invention allow a server to record a download timestamp of database table subsets, where such subsets may include one or more rows in the database tables. This allows data to be downloaded by a client at subset granularity.

Mint plant named ‘Kosi’

A novel mint plant ‘Kosi’ characterized by its high menthol content, high biomass and high oil yield with symmetrical branching giving globular shape to the canopy for equal distribution of sunlight to the lower leaves.

‘Jal Pallavi’, water logging tolerant Cymbopogon winterianus

The present invention is related to the development of a new and distinct vegetatively propagated water tolerant plant of Cymbopogon winterianus by selection of a somatic variant from high yielding line Jorlab-2, the selected plant withstands prolonged water stagnation with no reduction in yield of essential oil.

Vaishnavi, a high yielding self-pollinated Cymbopogon martinii

The invention relates to a novel palmarosa plant christened as “Vaishnavi”, said plant capable of setting seeds under selfing conditions and having high oil yield potential, and developed employing crop-burning technique as a physical mutagen.

Farm data annotation and bias detection

One embodiment provides a method, including: obtaining information related to farming activities of a farmer; predicting an annotation category for the information, wherein the annotation category identifies a topic of the information; selecting an annotator for annotating the information based upon the annotation category, wherein the selecting comprises utilizing (i) a social proximity constraint identifying a social connection between the farmer and another farmer and (ii) a farm signature constraint identifying a similarity of the farmer to another farmer; assigning the annotator to annotate the obtained information; and receiving annotations for the information

Forecasting environmental occlusion events

In an approach for forecasting environmental occlusion events, a processor receives a spatio-temporal zone of interest. A processor collects data associated with the spatio-temporal zone of interest. A processor builds a machine-learning model using the data. A processor generates an occlusion probability map for the spatio-temporal zone of interest based on the machine-learning model and enriched mathematical operators. A processor outputs the occlusion probability map.

Structure and winding patterns for 3-phase induction motor with outer-rotor for low-power applications

Disclosed herein is a stator structure (100) to house a three-phase winding (300) for an induction motor with outer rotor structure for use in low-power applications, in particular, a ceiling fan. The said winding (300) with the proposed motor structure aims to increase motor efficiency for the given application. The proposed three-phase induction motor is energy-saving, low cost with a variable frequency drive installed at its input to control its speed.

Method of producing free standing articles

Vaishnavi, a high yielding self-pollinated Cymbopogon martinii

The invention relates to a novel palmarosa plant christened as “Vaishnavi”, said plant capable of setting seeds under selfing conditions and having high oil yield potential, and developed employing crop-burning technique as a physical mutagen.

Stochastic compression of raster data

Methods, systems, and computer program products for stochastic compression of raster data are provided herein. A computer-implemented method includes obtaining at least one compression ratio and at least one error value for a given set of raster data; compressing at least a portion of the given set of raster data based at least in part on the at least one compression ratio and the at least one error value; transmitting the compressed raster data, to at least one given destination, based at least in part on a given transmission speed variable; and performing one or more automated actions based at least in part on the transmitted compressed raster data.

Verfahren, system und computerprogrammprodukt zur bestimmung von kulturpflanzentyp und/oder aussaattermin

Ein Verfahren, ein System und ein Computerprogrammprodukt zum Bestimmen von Kulturpflanzentyp und/oder Aussaattermin werden bereitgestellt. In einigen Ausführungsformen werden eine historische Kulturpflanzen-Wachstumszeitreihe und eine Mehrzahl von simulierten Kulturpflanzen-Wachstumszeitreihen ermittelt, und die historische Zeitreihe wird mit jeder simulierten Zeitreihe abgeglichen, um einen bestimmten Kulturpflanzentyp und/oder einen bestimmten Aussaattermin zu ermitteln. Eine simulierte Zeitreihe für jede Kombination aus Kulturpflanzentyp und Aussaattermin innerhalb eines Satzes von einem oder mehreren Kulturpflanzentypen und einem oder mehreren Aussaatterminen kann zum Beispiel auf der Grundlage historischer Kulturpflanzendaten ermittelt werden. Jede Zeitreihe stellt ein Kulturpflanzenwachstum in einem untersuchten Gebiet dar und weist ein oder mehrere Elemente auf, darunter kulturpflanzenspezifische Parameter wie den Blattflächenindex (BFI). Die historische Zeitreihe kann auf der Grundlage von Fernsensordaten ermittelt werden. Jede simulierte Zeitreihe kann mithilfe eines Modells zum Simulieren des Kulturpflanzenwachstums und auf der Grundlage von historischen Kulturpflanzendaten, Geodaten und Wetterdaten ermittelt werden.

Dynamic mirroring

One or more techniques and/or systems are provided for dynamic mirroring. A first storage node and the second storage node within a first storage cluster may locally mirror data between one another based upon a local failover partnership. The first storage node and a third storage node within a second storage cluster may remotely mirror data between one another based upon a primary disaster recovery partnership. If the third storage node fails, then the first storage node may remotely mirror data to a fourth storage node within the second storage cluster based upon an auxiliary disaster recovery partnership. In this way, data loss protection for the first storage node may be improved, such that the fourth storage node provide clients with access to mirrored data from the first storage node in the event the second storage node and/or the third storage node are unavailable when the first storage node fails.

Execution profiling detection of malicious objects

In an example, there is provided a system and method for execution profiling detection of malicious software objects. An execution profiling (EXP) engine may be provided in conjunction with a binary translation engine (BTE). Both may operate within a trusted execution environment (TEE). Because many malware objects make assumptions about memory usage of host applications, they may cause exceptions when those assumptions prove untrue. The EXP engine may proactively detect such exceptions via the BTE when the BTE performs its translation function. Thus, malicious behavior may be detected before a binary runs on a system, and remedial measures may be provided.

Screen resize for reducing power consumption

Embodiments disclosed herein provide systems, methods, and software for dynamically managing power consumption of a device capable of operating on battery power, or other power. In particular, the size of the viewable area of the display may be dynamically controlled to reduce the number of activated pixels to reduce power consumption. The resizing of the viewable area of a screen may also reduce the number of applications running, thereby reducing power consumption. An indication of the amount of operation time, battery indicator, and/or energy left in the battery may be presented, based at least in part on the dynamic resize of the display.

Dynamic mirroring

One or more techniques and/or systems are provided for dynamic mirroring. A first storage node and the second storage node within a first storage cluster may locally mirror data between one another based upon a local failover partnership. The first storage node and a third storage node within a second storage cluster may remotely mirror data between one another based upon a primary disaster recovery partnership. If the third storage node fails, then the first storage node may remotely mirror data to a fourth storage node within the second storage cluster based upon an auxiliary disaster recovery partnership. In this way, data loss protection for the first storage node may be improved, such that the fourth storage node provide clients with access to mirrored data from the first storage node in the event the second storage node and/or the third storage node are unavailable when the first storage node fails.

Estimation of crop pest risk and/or crop disease risk at sub-farm level

Method, apparatus, and computer program product are provided for estimating crop pest risk and/or crop disease risk at sub-farm level. In some embodiments, a farm region is determined based on farm definition data, and input data associated with the farm region are retrieved from a plurality of data sources. The input data may include a plurality of pixel sets. In some embodiments, for each pixel set, crop risk data are determined based on the input data using one or more spatiotemporal regression models. The crop risk data may include an estimate of crop pest risk and/or crop disease risk for each pixel set. In some embodiments, the farm region is categorized into a plurality of sub-farms each defining a risk level category for that sub-farm based on the crop risk data. In some embodiments, the sub-farms are displayed as a visual heat-map, along with recommended antidote options.

Hydrosilylation synthesis of haloalkylorganosilanes using peroxide promoters

This invention is directed to a process for producing a haloorganoalkoxysilane product comprising reacting an olefinic halide, an alkoxysilane, a catalytically effective amount of ruthenium-containing catalyst; and a reaction-promoting effective amount of a peroxy compound, optionally in the presence of an electron-deficient aromatic compound.