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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Форма поиска

Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 16. Отображено 16.
24-04-2013 дата публикации

Edible fungus industrialized cultivation method and sterilization process thereof

Номер: CN103053325A
Автор: Wang Yongdong, Peng Renbin, Wang Yueshang, Yu Peilin
Принадлежит:

The invention discloses an edible fungus industrialized cultivation method which comprises a material filling process and a sterilization process sequentially. In the material filling process, composts are filled in cultivation bottles in a cultivation frame. The sterilization process includes the following steps: 1) stacking, cultivation frames obtained after the filling process are stacked on a tray to form sterilization basic units; 2) entering a pot, the sterilization basic units are sent at preset positions in a sterilization pot sequentially through a carrying device in a mode that the sterilization basic units and the ground do not contact in a carrying process; 3) sterilizing, the composts in the sterilization pot are sterilized; and 4) pulling output of the pot, after sterilization is finished, the temperature in the sterilization pot reduces to a preset temperature, the carrying device is used for pulling the sterilization basic units out of the sterilization pot in a mode that ...

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Номер записи: 1
24-03-2022 дата публикации

SYSTEMS AND METHODS FOR PROVISIONING CONTENT

Номер: US20220092332A1
Автор: CHEN CHIEN-NAN, Kuzyakov Evgeny V., Peng Renbin
Принадлежит:

Systems, methods, and non-transitory computer-readable media can provide at least one frame of a content item to a saliency prediction model, the saliency prediction model being trained to identify salient points of interest that appear in content items. Information describing at least a first salient point of interest that appears in the at least one frame can be obtained from the saliency prediction model. The first salient point of interest can be predicted to be of interest to users accessing the content item. A view-based projection can be applied to a region corresponding to the first salient point of interest, wherein the view-based projection enhances a quality in which the region is presented. 1. (canceled)2. A computer-implemented method comprising:generating, by a computing system, a spherical representation of a frame, the spherical representation including at least one point of interest;determining, by the computing system, a number of rays emanating from a virtual camera that are needed to capture a region of the frame, the region corresponding to the at least one point of interest; andbased on the number of rays, allocating, by the computing system, a density of pixels to the region for presentation of the frame.3. The computer-implemented method of claim 2 , further comprising:determining, by the computing system, a second number of rays emanating from the virtual camera that are needed to capture a second region of the frame, the second region corresponding to a second point of interest; andbased on the second number of rays, allocating, by the computing system, a second density of pixels to the second region for presentation of the frame.4. The computer-implemented method of claim 3 , wherein the number of rays is different from the second number of rays.5. The computer-implemented method of claim 4 , wherein the density of pixels is different from the second density of pixels.6. The computer-implemented method of claim 2 , wherein an offset is ...

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Номер записи: 2
26-05-2016 дата публикации

Recommending Users to a Social Networking System User Based on Relevance and Similarity Between Users

Номер: US20160147810A1
Автор: Peng Renbin, Schmidt Rodrigo M., Seger Margaret-Ann Julia, Singh Japinder
Принадлежит:

A social networking system allows users to establish connections with other users to receive content provided to the social networking system by the other user. The social networking system may recommend an additional user to the user in response to the user establishing a connection with a target user. To recommend an additional user, the social networking system determines a relevance of the additional user to the target user relative to the relevance of other candidate users to the target user. The relevance may be based on a measure of similarity between an additional user and the target user, such as a covariance in the overlap of users connected to both the additional user and to the target user. 1. A method comprising:establishing a connection between a user of a social networking system with a target user of the social networking system, the connection causing the user to be presented with content provided to the social networking system via a user interface provided to the user by the social networking system; determining a relevance of one or more additional users to the target user, the determined relevance between an additional user and the target user based on information associated with the target user and information associated with the additional user;', 'identifying one or more candidate users having at least a threshold relevance to the target user from the one or more additional users;', 'determining measures of similarity between each of the candidate users and the target user, a measure of similarity between a candidate user and the target user based at least in part on users of the social networking system connected to the candidate user and connected to the target user;', 'selecting a recommended user from the candidate users based at least in part on the measures of similarity; and', 'identifying the recommended user to the user via the user interface following establishment of the connection., 'responsive to establishing the connection ...

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Номер записи: 3
18-10-2018 дата публикации

Systems and methods for evaluating content

Номер: US20180300583A1
Автор: Chetan Parag Gupta, Evgeny V. Kuzyakov, Renbin Peng
Принадлежит: Facebook Inc

Systems, methods, and non-transitory computer-readable media can generate a saliency prediction model for identifying salient points of interest that appear during presentation of content items, provide at least one frame of a content item to the saliency prediction model, and obtain information describing at least a first salient point of interest that appears in the at least one frame from the saliency prediction model, wherein the first salient point of interest is predicted to be of interest to one or more users accessing the content item.

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Номер записи: 4
18-10-2018 дата публикации

SYSTEMS AND METHODS FOR PROVISIONING CONTENT

Номер: US20180300584A1
Автор: CHEN CHIEN-NAN, Kuzyakov Evgeny V., Peng Renbin
Принадлежит:

Systems, methods, and non-transitory computer-readable media can provide at least one frame of a content item to a saliency prediction model, the saliency prediction model being trained to identify salient points of interest that appear in content items. Information describing at least a first salient point of interest that appears in the at least one frame can be obtained from the saliency prediction model. The first salient point of interest can be predicted to be of interest to users accessing the content item. A view-based projection can be applied to a region corresponding to the first salient point of interest, wherein the view-based projection enhances a quality in which the region is presented. 1. A computer-implemented method comprising:providing, by a computing system, at least one frame of a content item to a saliency prediction model, the saliency prediction model being trained to identify salient points of interest that appear in content items;obtaining, by the computing system, information describing at least a first salient point of interest that appears in the at least one frame from the saliency prediction model, wherein the first salient point of interest is predicted to be of interest to users accessing the content item; andapplying, by the computing system, a view-based projection to a region corresponding to the first salient point of interest, wherein the view-based projection enhances a quality in which the region is presented.2. The computer-implemented method of claim 1 , wherein applying the view-based projection further comprises:obtaining, by the computing system, a saliency map for the at least one frame;determining, by the computing system, a vector-based representation of the saliency map;determining, by the computing system, an offset corresponding to the at least one frame based at least in part on the vector-based representation; andenhancing, by the computing system, the region corresponding to the first salient point of interest ...

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Номер записи: 5
18-10-2018 дата публикации

SYSTEMS AND METHODS FOR PROVIDING DEMOGRAPHIC ANALYSIS FOR MEDIA CONTENT BASED ON USER VIEW OR ACTIVITY

Номер: US20180300747A1
Автор: Gupta Chetan Parag, Kuzyakov Evgeny V., Peng Renbin
Принадлежит:

Systems, methods, and non-transitory computer-readable media can present a plurality of content items in a virtual reality content item. Tracking data associated with a plurality of users that access the virtual reality content item can be obtained. An analysis associated with the plurality of content items based on the tracking data can provided, wherein the analysis indicates one or more attributes associated with the plurality of users. 1. A computer-implemented method comprising:presenting, by a computing system, a plurality of content items in a virtual reality content item;obtaining, by the computing system, tracking data associated with a plurality of users that access the virtual reality content item; andproviding, by the computing system, an analysis associated with the plurality of content items based on the tracking data, wherein the analysis indicates one or more attributes associated with the plurality of users.2. The computer-implemented method of claim 1 , wherein the plurality of content items is included in the virtual reality content item for comparison in an A/B test.3. The computer-implemented method of claim 2 , wherein the computing system is controlled by a first entity and the A/B test is requested by a second entity.4. The computer-implemented method of claim 1 , wherein the plurality of content items is presented at respective locations in the virtual reality content item suggested by the computing system.5. The computer-implemented method of claim 1 , wherein the plurality of content items includes a first content item and a second content item that is different from the first content item claim 1 , and wherein the first content item is provided at a first location in the virtual reality content item and the second content item is provided at a second location in the virtual reality content item.6. The computer-implemented method of claim 1 , wherein the plurality of content items includes a first content item and a second content item ...

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Номер записи: 6
18-10-2018 дата публикации

SYSTEMS AND METHODS FOR PROVISIONING CONTENT

Номер: US20180300848A1
Автор: CHEN CHIEN-NAN, Kuzyakov Evgeny V., Peng Renbin
Принадлежит:

Systems, methods, and non-transitory computer-readable media can determine at least one salient point of interest in a frame of a content item based at least in part on a saliency prediction model, the saliency prediction model being trained to identify salient points of interest that appear in content items; determine a barrel projection representation for the frame; and apply a view-based projection to the barrel projection representation for the frame, wherein the view-based projection enhances a quality in which a region corresponding to the at least one salient point of interest is presented. 1. A computer-implemented method comprising:determining, by a computing system, at least one salient point of interest in a frame of a content item based at least in part on a saliency prediction model, the saliency prediction model being trained to identify salient points of interest that appear in content items;determining, by the computing system, a barrel projection representation for the frame; andapplying, by the computing system, a view-based projection to the barrel projection representation for the frame, wherein the view-based projection enhances a quality in which a region corresponding to the at least one salient point of interest is presented.2. The computer-implemented method of claim 1 , wherein the barrel projection includes separate faces corresponding to a top portion of the frame claim 1 , a bottom portion of the frame claim 1 , and a middle portion of the frame.3. The computer-implemented method of claim 2 , wherein the middle portion of the frame represents a middle 90 degrees of a scene represented in the frame.4. The computer-implemented method of claim 2 , wherein applying the view-based projection to the barrel projection representation of the frame further comprises:biasing, by the computing system, a region in the middle portion of the frame that corresponds to the at least one salient point of interest, wherein the region is biased to increase a ...

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Номер записи: 7
18-10-2018 дата публикации

SYSTEMS AND METHODS FOR PRESENTING CONTENT

Номер: US20180302590A1
Автор: Gupta Chetan Parag, Kuzyakov Evgeny V., Peng Renbin
Принадлежит:

Systems, methods, and non-transitory computer-readable media can determine that a content item is being presented through a display screen of the computing device. Information describing one or more salient points of interest that appear during presentation of the content item are determined, wherein the salient points of interest are predicted to be of interest to one or more users accessing the content item. The presentation of at least a first salient point of interest is enhanced during presentation of the content item based at least in part on the information. 1. A computer-implemented method comprising:determining, by a computing device, that a content item is being presented through a display screen of the computing device;determining, by the computing device, information describing one or more salient points of interest that appear during presentation of the content item, wherein the salient points of interest are predicted to be of interest to one or more users accessing the content item based at least in part on a saliency prediction model, the saliency prediction model being trained using user-specific view tracking data corresponding to one or more different content items; andcausing, by the computing device, the presentation of at least a first salient point of interest to be enhanced during presentation of the content item based at least in part on the information.2. The computer-implemented method of claim 1 , wherein causing the presentation of at least a first salient point of interest to be enhanced further comprises:increasing, by the computing device, a video quality at which a region corresponding to the first salient point of interest is presented by some specified amount.3. The computer-implemented method of claim 1 , wherein causing the presentation of at least a first salient point of interest to be enhanced further comprises:increasing, by the computing device, a zoom level of a region corresponding to the first salient point of interest by ...

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Номер записи: 8
18-10-2018 дата публикации

Systems and methods for presenting content

Номер: US20180302591A1
Автор: David Young Joon Pio, Evgeny V. Kuzyakov, Renbin Peng
Принадлежит: Facebook Inc

Systems, methods, and non-transitory computer-readable media can determine saliency information describing one or more salient points of interest that appear during presentation of a content item, wherein the salient points of interest are predicted to be of interest to one or more users accessing the content item and embed the saliency information describing the salient points of interest into the content item, wherein the saliency information is capable of being processed during presentation of the content item to enhance the presentation of the content item.

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Номер записи: 9
22-07-2014 дата публикации

Optimization of multiple candidates in medical device or feature tracking

Номер: US8787635B2
Автор: Dorin Comaniciu, PENG Wang, Renbin Peng, Terrence Chen
Принадлежит: SIEMENS AG

Multiple candidates are optimized in medical device or feature tracking. Possible locations of medical devices or features for each of a plurality of different times are received. The possible locations of devices are modeled using a probability function. An iterative solution to obtain the maximum of the probability function determines the possible locations to be used as the locations of the medical devices or features for each time. Where two or more medical devices or features are provided with a geometric relationship, such as being connected by a detected guide wire, the probability function may account for the geometric relationship, such as a geodesic distance between the possible locations for the two medical devices.

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Номер записи: 10
01-07-2010 дата публикации

Optimized Stochastic Resonance Signal Detection Method

Номер: US20100169051A1
Автор: Hao Chen, Pramod K. Varshney, Renbin Peng
Принадлежит: SYRACUSE UNIVERSITY

Apparatus and method for detecting micro-calcifications in mammograms using novel algorithms and stochastic resonance noise is provided, where a suitable dose of noise is added to the abnormal mammograms such that the performance of a suboptimal lesion detector is improved without altering the detector's parameters. A stochastic resonance noise-based detection approach is presented to improve suboptimal detectors which suffer from model mismatch due to the Gaussian assumption. Furthermore, a stochastic resonance noise-based detection enhancement framework is presented to deal with more general model mismatch cases.

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Номер записи: 11
23-03-2021 дата публикации

Systems and methods for automated video classification

Номер: US10956746B1
Автор: Di Liu, Guangshuo Liu, Jianyu Wang, Lei Huang, Renbin Peng, Ziheng Wang
Принадлежит: Facebook Inc

Systems, methods, and non-transitory computer-readable media can receive a set of video frames associated with a video. A determination can be made that a first set of consecutive video frames of the set of video frames depicts identical content to a second set of consecutive video frames of the set of video frames, wherein the first set of consecutive video frames and the second set of consecutive video frames satisfy a threshold number of consecutive video frames. The video is identified as a looping video based on the determination that the first set of consecutive video frames depicts identical content to the second set of consecutive video frames.

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Номер записи: 12
26-02-2020 дата публикации

Systems and methods for evaluating content

Номер: EP3612953A1
Автор: Chetan Parag Gupta, Evgeny V. Kuzyakov, Renbin Peng
Принадлежит: Facebook Inc

Systems, methods, and non-transitory computer-readable media can generate a saliency prediction model for identifying salient points of interest that appear during presentation of content items, provide at least one frame of a content item to the saliency prediction model, and obtain information describing at least a first salient point of interest that appears in the at least one frame from the saliency prediction model, wherein the first salient point of interest is predicted to be of interest to one or more users accessing the content item.

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Номер записи: 13
25-10-2018 дата публикации

Systems and methods for evaluating content

Номер: WO2018194552A1
Автор: Chetan Parag Gupta, Evgeny V. Kuzyakov, Renbin Peng
Принадлежит: FACEBOOK, INC.

Systems, methods, and non-transitory computer-readable media can generate a saliency prediction model for identifying salient points of interest that appear during presentation of content items, provide at least one frame of a content item to the saliency prediction model, and obtain information describing at least a first salient point of interest that appears in the at least one frame from the saliency prediction model, wherein the first salient point of interest is predicted to be of interest to one or more users accessing the content item.

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Номер записи: 14
02-07-2020 дата публикации

Systems and methods for automated video classification

Номер: WO2020139923A1
Автор: Di Liu, Guangshou LIU, Jianyu Wang, Lei Huang, Renbin Peng, Ziheng Wang
Принадлежит: FACEBOOK, INC.

Systems, methods, and non-transitory computer-readable media can receive a set of video frames associated with a video. Dynamic regions in each video frame of the set of video frames can be filtered out, wherein each dynamic region represents a region in which a threshold level of movement is detected. A determination can be made for each video frame of the set of filtered video frames, whether the video frame comprises synthetic overlaid text based on a machine learning model.

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Номер записи: 15
25-10-2018 дата публикации

Systems and methods for presenting content

Номер: WO2018194553A1
Автор: Chetan GUPTA, Evgeny V. Kuzyakov, Renbin Peng
Принадлежит: FACEBOOK, INC.

Systems, methods, and non-transitory computer-readable media can determine that a content item is being presented through a display screen of the computing device. Information describing one or more salient points of interest that appear during presentation of the content item are determined, wherein the salient points of interest are predicted to be of interest to one or more users accessing the content item. The presentation of at least a first salient point of interest is enhanced during presentation of the content item based at least in part on the information.

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Номер записи: 16