Настройки

Укажите год
-

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

Подробнее
-

Мониторинг СМИ

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

Подробнее

Форма поиска

Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
Ведите корректный номера.
Ведите корректный номера.
Ведите корректный номера.
Ведите корректный номера.
Укажите год
Укажите год

Применить Всего найдено 6. Отображено 6.
04-07-2023 дата публикации

Organic fertilizer as well as fermentation method and application thereof

Номер: CN116375539A
Принадлежит:

The invention relates to the field of chemical fertilizers, and discloses an organic fertilizer and a fermentation method and application thereof. The fermentation method comprises the following steps: mixing a straw raw material with water, bran, waste vegetable leaves, soil, a compost substrate, coffee grounds and modified distillers' grains to obtain a mixture, and performing compost fermentation on the mixture. The organic fertilizer obtained through fermentation with the fermentation method can significantly reduce the effective content of heavy metal and arsenic in soil, especially the effective content of arsenic and lead in soil.

Подробнее
08-08-2023 дата публикации

Packaging defect classification method

Номер: CN116563609A
Принадлежит:

The invention discloses a package defect classification method, and belongs to the technical field of computer vision picture processing, and the method comprises the steps: obtaining a gray level image of a package, and carrying out the filtering and enhancement of the gray level image; carrying out threshold segmentation on the filtered and enhanced grayscale image by adopting a two-dimensional maximum entropy method based on an improved whale optimization algorithm; performing opening operation on the grayscale image subjected to the threshold segmentation, and obtaining a defect position of the package according to an opening operation result; according to the defect position, carrying out defect classification on the package by utilizing a pre-constructed package defect classification model; wherein the packaging defect classification model is obtained through training by adopting a naive Bayes classifier according to feature vectors and defect categories corresponding to pre-obtained ...

Подробнее
04-04-2023 дата публикации

Gap foreign matter detection method based on visual image feature matching

Номер: CN115909125A
Принадлежит:

The invention discloses a gap foreign matter detection method based on visual image feature matching, and the method comprises the following steps: obtaining a video of a gap detection region, and carrying out the feature extraction and initial matching of a reference image and a to-be-detected image; adopting a nearest neighbor distance ratio (NNDR) algorithm to preliminarily reject mismatching points; adopting a local deletion method to further eliminate one-to-many mismatching points that one feature point in the reference image is matched with a plurality of feature points of the to-be-detected image to obtain effective matching points; and foreign matter detection is carried out through comparison of the number and the distribution area of the effective matching points. According to the method, mismatching points during feature matching can be effectively eliminated, and the matching accuracy is improved; foreign matter detection is carried out on the gap by using information such ...

Подробнее
04-08-2023 дата публикации

Multi-filtering breast ultrasound image denoising method based on fractional Fourier transform

Номер: CN116542875A
Принадлежит:

The invention discloses a multi-filtering mammary gland ultrasound image denoising method based on fractional Fourier transform, which comprises the following steps: giving a degraded mammary gland ultrasound image, performing fractional Fourier transform on the degraded mammary gland ultrasound image to obtain fractional domain spectrograms of different orders, establishing a multi-filter bank fusing smooth filtering and sharpening filtering according to the characteristics of the fractional domain spectrograms, and denoising the mammary gland ultrasound image. And performing multi-filtering on the fractional domain spectrogram of each order to obtain a filtered image, and fusing the filtered images of all order channels to obtain a denoised mammary gland ultrasonic image. According to the method, different transformation orders are adopted in sequence, the two-dimensional fractional Fourier transformation form is used for processing the signals of the degraded mammary gland ultrasonic ...

Подробнее
04-04-2023 дата публикации

Industrial solid waste-based composite flocculant as well as preparation method and application thereof

Номер: CN115893803A
Принадлежит:

The invention provides an industrial solid waste-based composite flocculant as well as a preparation method and application thereof. The composite flocculant is prepared from the following raw materials: industrial solid waste raw material quicklime, phosphogypsum, red mud, bentonite, an organic flocculant and an inorganic flocculant. The efficient composite flocculant is stable in chemical property and capable of rapidly precipitating lake bottom mud, so that rapid separation of muddy water is efficiently achieved. Compared with the prior art, the method has the advantages that the treated bottom mud is free of pollution, less in dosage and low in production cost, and meanwhile, resource utilization of industrial waste can be realized.

Подробнее
29-08-2023 дата публикации

Seal elimination method based on Seal-Inception GAN network

Номер: CN116664440A
Принадлежит:

The invention discloses a seal elimination method based on a Seal-Inception GAN network. The seal elimination method comprises the following steps: constructing and training the Seal-Inception GAN network; and inputting the image containing the seal into the trained Seal-Inception GAN network to carry out seal elimination, and outputting the processed image. According to the method, the advantages of a cyclic generation structure and unsupervised training of the Cycle GAN are utilized, an Inception structure and a classical Res Net structure in a generator are innovatively combined, and a sampling structure and a training data set in the generator are adjusted according to the characteristics of seal elimination work; the handwritten fonts of the seal part are effectively reserved while the seal in the examination and approval material is eliminated; and the accuracy and efficiency of machine identification are indirectly improved.

Подробнее