Pub Date : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9096002
Li Qiaoyu, Liu Shuyun, Mu Yuanjie, Shang Ming-hua
Monitoring the growth of maize rapidly and accurately is meaningful in research and management. However, traditional plant growth monitoring methods based on machine vision required ideal environment for image measurement, lack of exploration for the application of complex environment. This paper proposed embedded devices in Maize growth environment, extracting features of plant growth in the embedded vision system by the artificial, then monitoring by the user-defined algorithm. Plant growth monitoring system based on embedded device integrates a standard process flow contained five part such as filter, color space transformation, image segmentation, morphological operations and feature quantization. Each step in the process includes a variety of algorithms, users can combine algorithms freestyle to get analysis values of plant on different environment. Continuously monitor the maize plants at jointing stage, the results showed that the determination coefficient of system analysis value and manual measurement value reaches 0.907, which indicated that the system can be used for monitoring maize growth under complex environment.
{"title":"Maize Growth Monitoring Based on Embedded Vision System","authors":"Li Qiaoyu, Liu Shuyun, Mu Yuanjie, Shang Ming-hua","doi":"10.1109/IICSPI48186.2019.9096002","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9096002","url":null,"abstract":"Monitoring the growth of maize rapidly and accurately is meaningful in research and management. However, traditional plant growth monitoring methods based on machine vision required ideal environment for image measurement, lack of exploration for the application of complex environment. This paper proposed embedded devices in Maize growth environment, extracting features of plant growth in the embedded vision system by the artificial, then monitoring by the user-defined algorithm. Plant growth monitoring system based on embedded device integrates a standard process flow contained five part such as filter, color space transformation, image segmentation, morphological operations and feature quantization. Each step in the process includes a variety of algorithms, users can combine algorithms freestyle to get analysis values of plant on different environment. Continuously monitor the maize plants at jointing stage, the results showed that the determination coefficient of system analysis value and manual measurement value reaches 0.907, which indicated that the system can be used for monitoring maize growth under complex environment.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133361906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9096006
Fengshen Sun, Yizhuo Li, Yanan Huang
Due to the discontinuous structure of hatch cover and multiple loads, deck structural instability is prone to occur in hatch cover position. Taking the modification of hydraulic hatch cover of a buoy tender as an example, this paper focuses on several key technologies involved in the modification of hatch cover, including the adjustment of weight and gravity center of ship in ballast after modification, structure design and strength check of hatch cover. The stress, deformation and buckling strength of hatch cover structure under corresponding load conditions are analyzed by finite element method.
{"title":"Study on Refitting of Hydraulic Hatch Cover","authors":"Fengshen Sun, Yizhuo Li, Yanan Huang","doi":"10.1109/IICSPI48186.2019.9096006","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9096006","url":null,"abstract":"Due to the discontinuous structure of hatch cover and multiple loads, deck structural instability is prone to occur in hatch cover position. Taking the modification of hydraulic hatch cover of a buoy tender as an example, this paper focuses on several key technologies involved in the modification of hatch cover, including the adjustment of weight and gravity center of ship in ballast after modification, structure design and strength check of hatch cover. The stress, deformation and buckling strength of hatch cover structure under corresponding load conditions are analyzed by finite element method.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"276 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131613814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9096009
Huida Zheng, Xusheng Gan, Shiyao Ren
To realize the scientific management of equipment development, a new method based on Least Square Support Vector Machine (LS-SVM) is proposed for equipment development risk assessment. On the basis of built index system of equipment development risk assessment, LS-SVM is used to establish the risk assessment model for equipment development. The simulation indicates that the method can carry out equipment development risk assessment correctly and effectively.
{"title":"Equipment Development Risk Assessment Based on Least Square Support Vector Machine","authors":"Huida Zheng, Xusheng Gan, Shiyao Ren","doi":"10.1109/IICSPI48186.2019.9096009","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9096009","url":null,"abstract":"To realize the scientific management of equipment development, a new method based on Least Square Support Vector Machine (LS-SVM) is proposed for equipment development risk assessment. On the basis of built index system of equipment development risk assessment, LS-SVM is used to establish the risk assessment model for equipment development. The simulation indicates that the method can carry out equipment development risk assessment correctly and effectively.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129570490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095915
Shi-qi Huang, Xiangyang Duan, Wensheng Wu
Eggs are important nutritional foods in people’s daily life. They are rich in protein and vitamins, as well as a variety of minerals like iron, calcium and phosphorus. Therefore, monitoring egg quality is always a focus problem that people are concerned about. This article breaks through traditional ideas and methods, proposes using hyperspectral remote sensing images to obtain the spectral characteristics of boiled yolk, and establishes the analysis model of egg quality. Through a large number of experiments on different types of eggs, the experimental results are effective, and this shows that the method proposed in this paper is feasible. It provides new ideas and methods for the examination of egg quality and the establishment of traceability system.
{"title":"Analysis and Research on the Characteristics of Boiled Yolk based on Hyperspectral Remote Sensing Images","authors":"Shi-qi Huang, Xiangyang Duan, Wensheng Wu","doi":"10.1109/IICSPI48186.2019.9095915","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095915","url":null,"abstract":"Eggs are important nutritional foods in people’s daily life. They are rich in protein and vitamins, as well as a variety of minerals like iron, calcium and phosphorus. Therefore, monitoring egg quality is always a focus problem that people are concerned about. This article breaks through traditional ideas and methods, proposes using hyperspectral remote sensing images to obtain the spectral characteristics of boiled yolk, and establishes the analysis model of egg quality. Through a large number of experiments on different types of eggs, the experimental results are effective, and this shows that the method proposed in this paper is feasible. It provides new ideas and methods for the examination of egg quality and the establishment of traceability system.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114296803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095905
Guojun Sheng, Yimin Zhang, Yanling Li
Aimed at optimizing the efficiency of resource scheduling problem in cloud environment, an improved scheduling algorithm is proposed for instance-intensive cloud workflow. It used the direct acyclic graph to model the workflow process, and then the clustering method is employed to classify the cloud service resources, and optimize the resource strategy to match the execution time and cost of the entire workflow instance. The experimental results show that the algorithm can effectively improve the efficiency and reduce the cost of using cloud resources for scheduling the instance-intensive cloud workflows.
{"title":"Improved Scheduling Algorithm for Instance-Intensive Cloud Workflow","authors":"Guojun Sheng, Yimin Zhang, Yanling Li","doi":"10.1109/IICSPI48186.2019.9095905","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095905","url":null,"abstract":"Aimed at optimizing the efficiency of resource scheduling problem in cloud environment, an improved scheduling algorithm is proposed for instance-intensive cloud workflow. It used the direct acyclic graph to model the workflow process, and then the clustering method is employed to classify the cloud service resources, and optimize the resource strategy to match the execution time and cost of the entire workflow instance. The experimental results show that the algorithm can effectively improve the efficiency and reduce the cost of using cloud resources for scheduling the instance-intensive cloud workflows.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122301964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9096058
Han Yaochang, Wang Jie
Aiming at the problem of remote sensing image classification, this paper designs an improved convolutional neural network structure. Combined with the transfer learning method, the classification experiments of different remote sensing image datasets are compared, and the effectiveness and versatility of the proposed method are verified.
{"title":"Application of Convolutional Neural Networks in Remote Sensing Image Classification","authors":"Han Yaochang, Wang Jie","doi":"10.1109/IICSPI48186.2019.9096058","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9096058","url":null,"abstract":"Aiming at the problem of remote sensing image classification, this paper designs an improved convolutional neural network structure. Combined with the transfer learning method, the classification experiments of different remote sensing image datasets are compared, and the effectiveness and versatility of the proposed method are verified.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127081266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095953
L. Ye, X. Xia, Z. Chang
Hierarchical maximum entropy Bayesian method is proposed to establish the reliability evaluation model for data sample with unknown priori information. The probability density functions are calculated for different time series using the maximum entropy principles and the Bayesian method is utilized to obtain the posterior sample information for different time intervals. The values of performance continuity relative reliability for time series data sample can be calculated during the corresponding time intervals and the failure degree maintaining optimum performance status in the future can be predicted.
{"title":"Reliability Evaluating Theory for Data Sample with Unknown Priori Information","authors":"L. Ye, X. Xia, Z. Chang","doi":"10.1109/IICSPI48186.2019.9095953","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095953","url":null,"abstract":"Hierarchical maximum entropy Bayesian method is proposed to establish the reliability evaluation model for data sample with unknown priori information. The probability density functions are calculated for different time series using the maximum entropy principles and the Bayesian method is utilized to obtain the posterior sample information for different time intervals. The values of performance continuity relative reliability for time series data sample can be calculated during the corresponding time intervals and the failure degree maintaining optimum performance status in the future can be predicted.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116538758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095938
Yuling Li, Wei He, Qinxia Xu
Fishing vessel safety accidents often occur, and the causes are various. If there is a clear understanding of the causes of these frequent accidents, the risk of accidents will be reduced. In this paper, the weights of various safety indicators of fishing vessels are calculated by the combination of AHP and cluster analysis methods. The fuzzy comprehensive evaluation method is used to evaluate the safety of fishing vessels, and the safety status of fishing vessels in Fuzhou is used as a case study to verify. The survey data of fishing boat accidents in Fuzhou City, Fujian Province, and the collection of accident data of fishing boats in other coastal cities, collating and analyzing the data, and obtaining the possible risk factors in the fishing production process of fishing vessels, refer to the relevant literature on the factors affecting the safety of fishing vessels and based on the information obtained from field research, the safety evaluation index system of Fuzhou City was constructed. The weights of each index were calculated by using the analytic hierarchy process and the cluster analysis method. Then, the fuzzy comprehensive evaluation method was used to evaluate the safety of a fishing boat. In addition, in the process of writing this article, I have contributed my own strength in the early stage of data collection, data analysis and modeling analysis.
{"title":"A Research Method of Fishing Vessel Safety Based on AHP and Fuzzy Comprehensive Evaluation","authors":"Yuling Li, Wei He, Qinxia Xu","doi":"10.1109/IICSPI48186.2019.9095938","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095938","url":null,"abstract":"Fishing vessel safety accidents often occur, and the causes are various. If there is a clear understanding of the causes of these frequent accidents, the risk of accidents will be reduced. In this paper, the weights of various safety indicators of fishing vessels are calculated by the combination of AHP and cluster analysis methods. The fuzzy comprehensive evaluation method is used to evaluate the safety of fishing vessels, and the safety status of fishing vessels in Fuzhou is used as a case study to verify. The survey data of fishing boat accidents in Fuzhou City, Fujian Province, and the collection of accident data of fishing boats in other coastal cities, collating and analyzing the data, and obtaining the possible risk factors in the fishing production process of fishing vessels, refer to the relevant literature on the factors affecting the safety of fishing vessels and based on the information obtained from field research, the safety evaluation index system of Fuzhou City was constructed. The weights of each index were calculated by using the analytic hierarchy process and the cluster analysis method. Then, the fuzzy comprehensive evaluation method was used to evaluate the safety of a fishing boat. In addition, in the process of writing this article, I have contributed my own strength in the early stage of data collection, data analysis and modeling analysis.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129759109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095884
Qi Han, Yang Xie, Hui Wang, Guorong Chen
In this works, the economic dispatch problem for smart grids is simplified by the $varepsilon$–exact penalty functions. A novel and systematic distributed optimization algorithm is introduced based on the multi-agent system via the algebraic graph theory. In order to minimize the operation cost in the entire grid, cooperative control of the power outputs of all power generators in the smart grid will be presented by using of the novel optimization algorithm. Furthermore, through the iteration of the penalty parameters and smooth parameters, the convergence of the algorithm is proved. The solution of the penalty optimization problem coincides with the optimal solution of the economic dispatch problem. A numerical example testifies the good performance of the new algorithm.
{"title":"Distributed Optimal Economic Dispatch for Smart Grids Based on Multi-Agent System","authors":"Qi Han, Yang Xie, Hui Wang, Guorong Chen","doi":"10.1109/IICSPI48186.2019.9095884","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095884","url":null,"abstract":"In this works, the economic dispatch problem for smart grids is simplified by the $varepsilon$–exact penalty functions. A novel and systematic distributed optimization algorithm is introduced based on the multi-agent system via the algebraic graph theory. In order to minimize the operation cost in the entire grid, cooperative control of the power outputs of all power generators in the smart grid will be presented by using of the novel optimization algorithm. Furthermore, through the iteration of the penalty parameters and smooth parameters, the convergence of the algorithm is proved. The solution of the penalty optimization problem coincides with the optimal solution of the economic dispatch problem. A numerical example testifies the good performance of the new algorithm.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122165731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9096014
Jie Zhang, Yongna Liu, Haihua Xing
The tapping panel dryness (TPD) in Hevea brasiliensis is a complex physiological syndrome and seriously affects the yield of the natural latex from rubber tree. Using image segmentation technology, the proportion of cut and latex area in rubber tree image are calculated to determine grade of TPD. According to the principle of two-dimensional maximum entropy, the global search of genetic algorithm and simulated annealing local hill climbing performance are synthetically selected to determine the optimal segmentation threshold. 276 images selected from the experimental base were tested. The experimental results showed that the method quickly and efficiently realized the extraction of the rubber tree cutting marks and the separation of rubber latex. The accuracy rate of TPD grade was as high as 92.4%, which could effectively prevent the further spread of TPD, and had certain experimental value.
{"title":"Application of Improved 2-D Entropy Algorithm in Rubber Tree Image Segmentation","authors":"Jie Zhang, Yongna Liu, Haihua Xing","doi":"10.1109/IICSPI48186.2019.9096014","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9096014","url":null,"abstract":"The tapping panel dryness (TPD) in Hevea brasiliensis is a complex physiological syndrome and seriously affects the yield of the natural latex from rubber tree. Using image segmentation technology, the proportion of cut and latex area in rubber tree image are calculated to determine grade of TPD. According to the principle of two-dimensional maximum entropy, the global search of genetic algorithm and simulated annealing local hill climbing performance are synthetically selected to determine the optimal segmentation threshold. 276 images selected from the experimental base were tested. The experimental results showed that the method quickly and efficiently realized the extraction of the rubber tree cutting marks and the separation of rubber latex. The accuracy rate of TPD grade was as high as 92.4%, which could effectively prevent the further spread of TPD, and had certain experimental value.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123165167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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