摘要 :
In ordinary near infrared qualitative identification, maize seed were not covered with seed coating agent. While, in actual agricultural market, maize seeds always should be covered by seed coating agents to resist diseases invasi...
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In ordinary near infrared qualitative identification, maize seed were not covered with seed coating agent. While, in actual agricultural market, maize seeds always should be covered by seed coating agents to resist diseases invasion and pests, improve germination rate, and increase yield. The kinds of seed coating are many and varied, and it is hard to determine their components. Therefore it is usually necessary to build identification model by maize seeds without seed coating, and then use the model to recognize seeds with seed coating. The maize seeds coating usually mixed by insecticides, fungicides, fertilizer, plant growth regulators, etc. These components often include hydrogen group organic compounds, which have certain absorption to near infrared spectrum. So the seed coating agent has an interference on near infrared spectroscopy qualitative identification effect. It will reduce the performance of conventional machine learning methods significantly. To reduce the influence caused by seed coating, a method of near infrared spectroscopy qualitative modeling based on deep learning method has been proposed in this paper. Firstly, maize seed spectrum without seed coating agent were used as training set, then a qualitative analysis model is constructed by stack auto encoder algorithm and Softmax classifier. With this deep learning model, maize seeds with seed coating can be identified. The experimental results indicated with the method based on deep learning, maize varietal authenticity recognition rate reduction caused by seed coating is controlled within 3\%.
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摘要 :
In ordinary near infrared qualitative identification, maize seed were not covered with seed coating agent. While, in actual agricultural market, maize seeds always should be covered by seed coating agents to resist diseases invasi...
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In ordinary near infrared qualitative identification, maize seed were not covered with seed coating agent. While, in actual agricultural market, maize seeds always should be covered by seed coating agents to resist diseases invasion and pests, improve germination rate, and increase yield. The kinds of seed coating are many and varied, and it is hard to determine their components. Therefore it is usually necessary to build identification model by maize seeds without seed coating, and then use the model to recognize seeds with seed coating. The maize seeds coating usually mixed by insecticides, fungicides, fertilizer, plant growth regulators, etc. These components often include hydrogen group organic compounds, which have certain absorption to near infrared spectrum. So the seed coating agent has an interference on near infrared spectroscopy qualitative identification effect. It will reduce the performance of conventional machine learning methods significantly. To reduce the influence caused by seed coating, a method of near infrared spectroscopy qualitative modeling based on deep learning method has been proposed in this paper. Firstly, maize seed spectrum without seed coating agent were used as training set, then a qualitative analysis model is constructed by stack auto encoder algorithm and Softmax classifier. With this deep learning model, maize seeds with seed coating can be identified. The experimental results indicated with the method based on deep learning, maize varietal authenticity recognition rate reduction caused by seed coating is controlled within 3\%.
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摘要 :
In ordinary near infrared qualitative identification, maize seed were not covered with seed coating agent. While, in actual agricultural market, maize seeds always should be covered by seed coating agents to resist diseases invasi...
展开
In ordinary near infrared qualitative identification, maize seed were not covered with seed coating agent. While, in actual agricultural market, maize seeds always should be covered by seed coating agents to resist diseases invasion and pests, improve germination rate, and increase yield. The kinds of seed coating are many and varied, and it is hard to determine their components. Therefore it is usually necessary to build identification model by maize seeds without seed coating, and then use the model to recognize seeds with seed coating. The maize seeds coating usually mixed by insecticides, fungicides, fertilizer, plant growth regulators, etc. These components often include hydrogen group organic compounds, which have certain absorption to near infrared spectrum. So the seed coating agent has an interference on near infrared spectroscopy qualitative identification effect. It will reduce the performance of conventional machine learning methods significantly. To reduce the influence caused by seed coating, a method of near infrared spectroscopy qualitative modeling based on deep learning method has been proposed in this paper. Firstly, maize seed spectrum without seed coating agent were used as training set, then a qualitative analysis model is constructed by stack auto encoder algorithm and Softmax classifier. With this deep learning model, maize seeds with seed coating can be identified. The experimental results indicated with the method based on deep learning, maize varietal authenticity recognition rate reduction caused by seed coating is controlled within 3%.
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摘要 :
It has been recognized that the proper parameters for the load model is significant to represent a load accurately. On the basis of introducing the Particle Swarm Optimization (PSO) and the Ant Colony Optimization (ACO), a paramet...
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It has been recognized that the proper parameters for the load model is significant to represent a load accurately. On the basis of introducing the Particle Swarm Optimization (PSO) and the Ant Colony Optimization (ACO), a parameter identification method of load model using PSO and ACO respectively were proposed and employed in the specific case study in this paper. It is shown by the case that the power curves simulated are closer to the measured ones and the relative error is smaller by using PSO than ACO. Which leads to the conclusion that PSO algorithm is more efficient and accurate than ACO algorithm in load parameter identification, that is, PSO algorithm has a certain superiority in the aspect of load model parameter identification.
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摘要 :
It has been recognized that the proper parameters for the load model is significant to represent a load accurately. On the basis of introducing the Particle Swarm Optimization (PSO) and the Ant Colony Optimization (ACO), a paramet...
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It has been recognized that the proper parameters for the load model is significant to represent a load accurately. On the basis of introducing the Particle Swarm Optimization (PSO) and the Ant Colony Optimization (ACO), a parameter identification method of load model using PSO and ACO respectively were proposed and employed in the specific case study in this paper. It is shown by the case that the power curves simulated are closer to the measured ones and the relative error is smaller by using PSO than ACO. Which leads to the conclusion that PSO algorithm is more efficient and accurate than ACO algorithm in load parameter identification, that is, PSO algorithm has a certain superiority in the aspect of load model parameter identification.
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摘要 :
In this paper, a kind of multimedia information service network based on present telephone system, CATV and personal computer is introduced. It links home and Information Center and provides consumer with not only interactive mess...
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In this paper, a kind of multimedia information service network based on present telephone system, CATV and personal computer is introduced. It links home and Information Center and provides consumer with not only interactive message and retrieval service, but also distributive broadcasting service. Consumer Information Service Network (CISN) uses the benefits of two-way telephone network, one-way high speed CATV and powerful personal computer, transmits multimedia information such as text, voice, picture, image, etc. by the hybrid mode of digital and analog. It offers home an economical, efficiency and reliable information network.
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摘要 :
In this paper, a kind of multimedia information service network based on present telephone system, CATV and personal computer is introduced. It links home and Information Center and provides consumer with not only interactive mess...
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In this paper, a kind of multimedia information service network based on present telephone system, CATV and personal computer is introduced. It links home and Information Center and provides consumer with not only interactive message and retrieval service, but also distributive broadcasting service. Consumer Information Service Network (CISN) uses the benefits of two-way telephone network, one-way high speed CATV and powerful personal computer, transmits multimedia information such as text, voice, picture, image, etc. by the hybrid mode of digital and analog. It offers home an economical, efficiency and reliable information network.
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摘要 :
CISN is the abbreviation of the synthetic consumer information service network. It uses the existing telephone network, CATV network and computer local area network to realize the interactive information searching and distributed ...
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CISN is the abbreviation of the synthetic consumer information service network. It uses the existing telephone network, CATV network and computer local area network to realize the interactive information searching and distributed broadcast service for the family consumers. The paper mainly describes how to constitute an actual CISN testing environment and select the proper overtime under the certain transmission way. It studies the route selecting, data dynamic allocation as well as the channel coding under the same circumstance.
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摘要 :
VBI data transmission is usually called television data broadcast, which uses the television field blanking interval to transmit the data at the form of broadcast. It deals with the data signals loaded during the television field ...
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VBI data transmission is usually called television data broadcast, which uses the television field blanking interval to transmit the data at the form of broadcast. It deals with the data signals loaded during the television field blanking interval, then one way transmits them at the rate of 16kbps～4.8Mbps by time division multiplexing. This paper we will analyze the form of the data broadcast pages and corrective coding , and bring forward the conception of the equivalent paginal byte error rate, based on which, we will analyze quantitatively the misjudging probability of the error detecting code of longitudinal direction checking and CRC-16 checking, and also we explain how overwrite improvement to the paginal errors,as well as how to optimize receiving strategy.
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摘要 :
CISN is the abbreviation of the synthetic consumer information service network. It uses the existing telephone network, CATV network and computer local area network to realize the interactive information searching and distributed ...
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CISN is the abbreviation of the synthetic consumer information service network. It uses the existing telephone network, CATV network and computer local area network to realize the interactive information searching and distributed broadcast service for the family consumers. The paper mainly describes how to constitute an actual CISN testing environment and select the proper overtime under the certain transmission way. It studies the route selecting, data dynamic allocation as well as the channel coding under the same circumstance.
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