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A Ophthalmology Study on Eye Glaucoma and Retina Applied in AI and Deep Learning Techniques

A Ophthalmology Study on Eye Glaucoma and Retina Applied in ...

2020 international Virtual conference on Bridging Innovative Trends in Mathematics, Engineering and technology, BITMET 2020

作者： Deepa, R. Nanda KumarP. Vaishnavi, S. Deepa, R. Nanda Kumar, P. Department of Computer Science PSG College of Arts and Science Tamil Nadu Coimbatore India

Artificial intelligence based on deep learning has huge global interest in current times. Deep Learning has been widely affiliated in image and speech recognition and also natural language processing, but it is beginning of healthcare. In ophthalmology, Deep learning has applied in photographs fundus, optical coherence tomography and vision sectors. Accomplishes safety in classifying the detection performance on diabetic retinopathy, age-related macular degeneration. Deep learning may be used in concurrence with telemedicine as possible to diagnose and monitor major eye diseases for patients in primary care. There are also prospective challenges with Deep learning application in ophthalmology, including clinical and technical challenges, explain ability of the algorithm results, medico legal issues, and physician and patient acceptance of the AI "black-box"algorithms. Deep learning could probably revolutionize how ophthalmology is practiced in the future. Hence this reviewprovides a Deep Learning systems described for ophthalmic conditions, and fundamental functions. © Published under licence by IOP Publishing Ltd.

关键词： Ophthalmology

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development and Application of a Farmland Test Data Processing System Designed for Wireless Sensor Network Applications

Development and Application of a Farmland Test Data Processi...

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第五届国际计算机与计算技术在农业中的应用研讨会

作者： Jinqiu Zou Qingbo Zhou Peng Yang Wenbin Wu Key Laboratory of Resources Remote Sensing and Digital Agriculture Institute of agricultural resources and regional planning Chinese Academy of Agricultural Sciences

ISBN: (纸本)9783642272806

Data collected by measuring farmland environmental indicators are vital sources of agricultural *** sensor networks(WSNs)have been employed to acquire stable and real time farmland environment ***,recognized as one of the latest development trends,recently attracted widespread attention and application due to their relative economy,stability,and *** this study,based upon a large amount of WSNs-obtained data,Microsoft Visual Studio 2005 and ESRI ArcGIS Engine 9.3,amongst others,were utilized to develop a farmland test data processing system,resolve information storage and utilization problems and conduct system *** data processing software consisted of four modules:data receiving conversion,database maintenance management,data browsing analysis and the generation and application of data spatialization ***,the data receiving conversion module was mainly responsible for converting raw data acquired by WSNs into standard database outputs,including the automatic reception of measured value,error correction and alerting the observer to abnormal *** Database maintenance management module's primary functions were the generation and maintenance of metadata generated from stored data,authentic data enquiry,display and *** generation and application of data spatialization products module was principally for the spatial expansion application of measured data,including space-time interpolation and *** system underwent pilot scale testing and improvement at the same time as undertaking the processing of real data collected by WSNs deployed throughout the Hebi test *** observed results revealed that the system was able to complete real-time conversion and management of field measured *** addition,it has several advantages,such as,excellent stability,perfect functionality and a convenient human- machine interface.

关键词： Wireless sensor networks(WSNs) Measured value Monitoring

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Motion Law Analysis And Research of The Ejection Device of Tray Seeder

Motion Law Analysis And Research of The Ejection Device of T...

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亚洲精细农业与计算机农业应用联合大会

作者： Dong Chunwang 1,2 , Hu Bin 1 , Hang lili 1 1.Machinery and Electricity Engineering College, Shihezi University, Shihezi 832003,China 2.Insititute of Cotton The Chinese Academy of Agricultural Sciences Anyang Henan 455000 China

Plug seedling production technique is an important direction of modern facility agriculture, and precision planter is a core component to realize the technique, its seeding performance depend on whether vibration device can upcast the seeds to suspension and free condition. Nowadays, vibration mode of a great number of domestic and foreign planters is continuous excited vibration that by means of electromagnetic vibrator. This mode is easy to occur uneven of the rising height of the seeds and inconsistent of the vibration intensity and other phenomena. This paper studies a new type Seeder, which is independently developed and its special ejection mode can realize precision sowing. The movement mechanism of the ejection device of the air-suction vibration seeder is studied. We obtained the movement rules of the seeds in the vibration plate through the process of theoretical analysis and computer simulation of the movement of the seeds. We optimized the structural design of the seeds plate with the coordinating analysis of finite element simulation, The performance test of the physical prototype shows that the planter has a reliable performance and the rising height of the seeds are even. The studies provide a reasonable structural parameters and the effective theory for research and development of such planting equipment, which has some guiding significance for motion law of the seeds.

关键词： Ejection mechanism, Numerical simulation, Seeder, Motion analysis

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RECOGNITION OF THE TEA SPROUT BASED ON COLOR AND SHAPE FEATURES

RECOGNITION OF THE TEA SPROUT BASED ON COLOR AND SHAPE FEATU...

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亚洲精细农业与计算机农业应用联合大会

作者： Fuzeng Yang 1,3 , Liangliang Yang 1 , Yanna Tian 2 , Qing Yang 11 College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi,712100, China 2 College of Information Engineering, Northwest A&F University, Yangling, Shaanxi,712100, China 3 College of computer Science and Engineering, Northwestern Polytechnical University, Xi’an Shanxi 710072, China

There are not enough workforces in China in picking tea sprout today, which usually result in missing the optimum picking period of tea sprout. The picking machine currently used improves the picking efficiency indeed. However, the old leaves are picked together with the sprout, more seriously the sprout is damaged at the same time. So, it is in great need of an intelligent picking machine that can recognize and pick the sprout with the minimum sprout damage. This paper presents an image process method based on the tea sprout color and shape features, which was used to recognize the "Wuzi Xianhao" (A Famous Green Tea of Shaanxi, China) tea sprout grown at Xixiang county of Shaanxi province around the Pure Brightness (5th solar term). Firstly, the green component of the tea leaf image in RGB color space was extracted. Secondly, green component image was segmented using double threshold method. Lastly, the edge of tea sprout is detected according to its shape feature. The experimental results illustrate that this recognizing method of the tea sprout based on color and shape features can recognize the tea sprout and the right detection rate is 94%, which provides a effective method for automatic tea sprout picking.

关键词： Tea sprout, Recognition, Color feature, Shape feature

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国际远程教育研究的特点与发展历程——基于国际会议文献的分析

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现代远程教育研究 2011年第3期23卷 40-47页

作者：姜霖苏新宁南京中医药大学南京大学信息管理系

随着科技的不断进步,远程教育的发展有了质的飞跃。ISI Proceeding数据库1987-2009年收录的国际远程教育会议文献反映:远程教育研究总体上呈不断上升的发展趋势;研究主题初期以教育理论为主,后期受新技术,如计算机技术、网络技术、通信... 详细信息

随着科技的不断进步,远程教育的发展有了质的飞跃。ISI Proceeding数据库1987-2009年收录的国际远程教育会议文献反映:远程教育研究总体上呈不断上升的发展趋势;研究主题初期以教育理论为主,后期受新技术,如计算机技术、网络技术、通信技术等影响较大;研究机构以高等院校为主,国家和政府较少参与;研究分布十分广泛,研究力量集中在美国、欧洲和亚洲少数国家。发展我国远程教育事业需政府加大投入和扶持,引入市场机制,联合不同学科、不同研究机构,谋求教育理论和技术革新的共同发展。

关键词：远程教育国际会议发展趋向调研分析

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STUDY ON FUZZY INTELLIGENT CONTROLLING technology FOR ENVIRONMENT OF MODERNIZATION PIG HOUSE

STUDY ON FUZZY INTELLIGENT CONTROLLING TECHNOLOGY FOR ENVIRO...

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亚洲精细农业与计算机农业应用联合大会

作者： ZHU JUN 1 , MA SHUO SHI 1,BI YU-GE 1 , WANG LI ZHONG 2 1 College of Mechanical and Electrical, Inner Mongolia Agriculture University, No.306 Zhaowuda Road, Hhht, China 2 College of computer and Information Engineering, Inner Mongolia Agriculture University, No.306 Zhaowuda Road, Hhht, China

In recent years, with the development of science and technology, large-scale concentration feeding method is adopted in the modernization pig-raising in our country, meanwhile it proposes higher requirement for the environment of pig house. The quality of pigsty’s environment has direct effluence on both health status and production performance of swine;therefore it is necessary to further improve the quality of pigsty’s environment, so that we can increase the productivity of pig-raising. There are many influencing factors in the pig house. The temperature, humidity, NH 3 and ventilation are the main influencing factors of the pig house in these factors. These factors have restriction and influence each other;they constitute a non-linear, multi-variable and strong coupling system. For such system, it is difficult to establish accurate mathematical model using traditional method. In this paper, the controlling model is established based on fuzzy logical mathematical algorithm for the environment of pig house, then we can complete the fuzzy control for temperature, humidity and monitor the ammonia concentration in the pig house by opening fan. The influencing factors of the pig house are treated through fuzzy algorithm: in the first place, we must determine the control variables for each factors;secondly, according to practical experience of breeder and relevant national standard, the fuzzy rule tables of influencing factors are established;at last, we make the control variable decouple so as to connect with the concrete control equipment’s procedure, the ideal control status is obtained. Comparing the fuzzy control method with the traditional PID method, we can know that fuzzy control method, which is applied in multi-variable and strong coupling;make more accuracy and real-time controlling of the pig environment house. Through a series of fuzzy processing, finally, we can realize the intelligent control of pigsty’s environment in real-time and omni-directional mode

关键词： Environment of Modernization Pig House, Intelligent Controlling, Fuzzy Intelligent Controlling

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An Ontology for Insect Identification Expert System

An Ontology for Insect Identification Expert System

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亚洲精细农业与计算机农业应用联合大会

作者： WU Maifang 1 , ZHAO Huiyan 2 1. College of Information Engineering, Northwest A&F University, China 2. College of Plant Protection, Northwest A&F University, China

Researches on insect identification expert system have been more and more and made headway. Whereas, because of the complexity, dynamic and fuzziness of insect management, knowledge base and database are not complete and dynamic in most expert system, so, these systems possibly just provide some readily interprets and judgments, but not exact solvent. An ontology defines the terms used to describe and represent an area of knowledge. Ontologies include computer-usable definit ions of basic concepts in the domain and the relationships among them. As a result, ontologies are widely used for its specification, reliability and reusability. Knowledge in ontologies based System could not only be classified, but also be organized and associated. Then, Inference engine could reason using the knowledge to satisfy *** this paper, an ontology for insect is developed. After identify ing the purpose and the scope of the expert system, by analy zing the do main of insects, we use ins ect morphology and taxonomy as foundation, and Integrate existing ontologies, and then combine wide ranges of approaches to develop insect ontology. Protégé3.1 is used for ontology development of concepts and relationships that represent insect morphology and *** is ontology will be used in insect identification expert system, wh ich can help to indentify the natural enemy of aphid in various crops, and provide management strategies fro m which eco logy and environ ment benefit, and accordingly protect the environment as well as economic benefits.

关键词： Expert System, Ontology, konwledge engineering, OW L, insect morphology and taxono my

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Eggs Fresh Degree Detection Based on VFW and AIN

Eggs Fresh Degree Detection Based on VFW and AIN

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亚洲精细农业与计算机农业应用联合大会

作者： ZHU Zhihui, WEN Youxian Huazhong Agricultural University, China

Eggs are an important part of daily life nutritious foods of animal origin, but they are easily perishable. With development of the computer image processing technology, non-destructive detection of egg quality based on machine vision have a good future. But real-time machine vision system is generally composed of expensive hardware, which limits its application. The paper proposed that collected egg image by VFW(video for windows)and identified egg fresh degree by artificial immune network(AIN). VFW increased video capture flexibility, reduced dependence on the video equipment, reduced costs. Artificial immune network is a new intelligent method simulating biological immune system, which has strong information processing ability. It is a complex system with self-adaption, self-learning, self-organization, parallel and balanced distribution. It aims at using ideas gleaned from immunology to develop systems that will be capable of performing a wide range of tasks in various research areas such as noise tolerance, self-learning, self-organization and memory, thus providing new ideas and methods for egg fresh degree identification. In the paper, the pixel area ratio of Egg yolk to the whole egg, the ratio of air room height to major axis length and egg folk color information (H, I, S) were selected as characteristic parameters. The characteristic parameters were trained by artificial immune network to obtain memory antibody set. The memory antibody set identified new samples by use of K-Nearest Neighbor(KNN) method. The test shows the use of VFW can reduce costs, the correct identifying rate of white shell egg and brown shell egg fresh degree is 93.45%, 92.05% respectively. In order to verify the effectiveness of the artificial immune network algorithm, The paper used BP network and support vector machine to identify same samples. The results show, compared with BP network and support vector network, artificial immune network has higher precision,smaller samples and st

关键词： Egg, Fresh degree, Detection, VFW, Artificial Immune Network

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computer security regulation for nuclear installation: A suggestion

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AIP conference Proceedings 2021年第1期2374卷

作者： F. P. Cusmanri M. F. S. Putra Z. Zulfiandri M. R. Ridhallahi Nuclear Energy Regulatory Agency (Bapeten) Jl. Gajah Mada No. 8 Central Jakarta 10120 Indonesia

The progress and development of information technology has opened up one form of nuclear crime, namely computer crime. The Stuxnet incident that occurred in 2010 is one example of cyber incidents related to nuclear security. The international Atomic Energy Agency (IAEA) as an international regulatory body has paid attention to computer security as outlined in one of the important elements in NSS 20 - Objective and Essentials Elements of a State’s Nuclear Security Regime. The security aspect itself is one of the aspects emphasized in Act Number 10 of 1997 concerning Nuclear Energy. Government Regulation Number 54 of 2012 concerning Nuclear Installation Safety and Security outlines a more detailed discussion of nuclear installation security, which is a more specific discussion on safety in the aspect of physical protection regulated in Regulation of the Head of the Nuclear Power Supervisory Agency Number 1 of 2009 concerning Installation Physical Protection Systems and Nuclear Materials. However, all of these regulations still do not explicitly mention computer security. This paper was prepared to provide recommendations that can be used in the preparation of regulations and guidelines related to computer security in nuclear installations. This paper was prepared using the main reference NSS 17 - computer Security at Nuclear Facilities which was perfected by the review of Regulatory Guide 5.71 - Cyber Security Programs for Nuclear Facility, CSA N290.7-14 - Cyber Security for Nuclear Power Plants and Small Reactor Facilities, and REGDOC-2.5.2. - Design of Reactor Facilities: Nuclear Power Plants. From the results of the study, it was concluded that several things that need to be considered as required regarding computer security are the establishment of a computer security team, the preparation of a computer security plan, a graded approach to computer security, and risk assessment.

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2017年 10477 LNBI卷 V-VI页

作者： Bracciali, Andrea Caravagna, Giulio Gilbert, David Tagliaferri, Roberto Computing Science and Mathematics University of Stirling Stirling United Kingdom School of Informatics University of Edinburgh Edinburgh United Kingdom Department of Computer Science Brunel University London Uxbridge Middlesex United Kingdom Department of Management and Innovation Systems DISA-MIS University of Salerno Fisciano Italy

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