2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)最新文献_第8页

Detecting plant’s diseases in Greenhouse using Deep Learning 利用深度学习技术检测温室植物病害

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257974

Randa Osama, N. Ashraf, Amina Yasser, Salma AbdelFatah, Noha ElMasry, Ashraf AbdelRaouf

{"title":"Detecting plant’s diseases in Greenhouse using Deep Learning","authors":"Randa Osama, N. Ashraf, Amina Yasser, Salma AbdelFatah, Noha ElMasry, Ashraf AbdelRaouf","doi":"10.1109/NILES50944.2020.9257974","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257974","url":null,"abstract":"Agriculture is considered the main source of economic development in the world. Agriculture is also the main supply of the world’s food and fabrics. Diseases affecting plants in the agriculture process is considered a crisis since it is a threat to the basic human food supply. Early detection of these diseases will save a large amount of the crops. Our proposed approach aims to detect plant’s diseases grown in greenhouses. This is done by monitoring a greenhouse model using an automated intelligent system. The proposed system is used to speed up the plant growth and detect the plant’s diseases. We used tomatoes to test our proposed system. The detected diseases are early blight, late blight, leaf mold, spider mites, target spot, mosaic virus, septoria, bacterial spot, and yellow leaf curl virus. These diseases usually appear on the leaves of the plants and it is hard to differentiate between them by the naked eye. A deep learning library Fast.ai, is used in building a training model from the given dataset of the diseases to get the highest accuracy. The proposed approach achieved 94.8% accuracy in detecting different types of tomato’s diseases. A Web application is developed to track greenhouse’s growth statistics and get notified if there is any disease found on their plant inside the greenhouse.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130247070","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}

引用次数: 1

Message Security Through AES and LSB Embedding in Edge Detected Pixels of 3D Images 在三维图像边缘检测像素中嵌入AES和LSB的消息安全性

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257937

Yomna A. Moussa, Wassim Alexan

引用次数: 7

Enhanced Modeling of Machine Repair Cycle to Maximize Uptime in Developing Countries 改进的机器维修周期建模，以最大限度地提高发展中国家的正常运行时间

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257907

H. Amer, Dina Rateb, R. Daoud, G. Alkady

引用次数: 1

BGP Route Leaks Detection Using Supervised Machine Learning Technique 基于监督机器学习技术的BGP路由泄漏检测

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257981

Salma Abd El Monem, A. Khalafallah, S. Shaheen

引用次数: 2

Optimum Sizing of the Sleep Transistor in MTCMOS Technology MTCMOS技术中休眠晶体管的最佳尺寸

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257978

S. Sharroush

引用次数: 2

Efficient Finite Element Modeling of Complex HVAC Applications 复杂暖通空调应用的高效有限元建模

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257904

A. Hafez, T. Kasem, B. Elhadidi, M. Abdelrahman

引用次数: 0

Intersection Control for Autonomous Vehicles Using Control Barrier Function Approach 基于控制障碍函数方法的自动驾驶汽车交叉口控制

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257886

Samaa Khaled, Omar M. Shehata, E. I. Morgan

引用次数: 2

Neural Network with Adaptive Learning Rate 具有自适应学习率的神经网络

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257880

Abdelrahman Ezzeldin Nagib, M. Saeed, Shereen Fathy El-Feky, Ali Khater Mohamed

引用次数: 3

Improving Productivity of A Production Line in Perfumes Industry in Egypt Using Lean Manufacturing Methodology 利用精益生产方法提高埃及某香水生产线的生产率

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257902

Ahmed M. Radwan, I. E. A. Rahman, Ahmed W. Roshdy, I. Fahim

{"title":"Improving Productivity of A Production Line in Perfumes Industry in Egypt Using Lean Manufacturing Methodology","authors":"Ahmed M. Radwan, I. E. A. Rahman, Ahmed W. Roshdy, I. Fahim","doi":"10.1109/NILES50944.2020.9257902","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257902","url":null,"abstract":"This study presents proposed solutions for increasing the productivity of a production line in the perfumes industry in Egypt using lean manufacturing methodology. Enhancing efficiency is a major significant objective to consider in a typical manufacturing firm to improve the overall performance. Increasing productivity is achieved through applying an extensive lean program implementing appropriate lean tools to solve problems identified as wastage in materials and activities as well as bottlenecks increasing lead time. Information of current problems and gaps are gathered through visits and interviews. Problems are showed and analyzed using some lean tools and charts as bottleneck analysis, workflow sequence and fishbone diagrams. Lean methodology is selected to be applied due to its ability to achieve desired results, solve current gaps and maintain outstanding performance and continuous improvement enabling competitiveness within marketplace. Proposed lean tools and the fully lean manufacturing system are presented to increase efficiency and solve problems identified. Expected results showed decreased inventories by 20-30% as well as reduction in costs by 10-20%.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124980868","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}

引用次数: 1

Hybrid Self-Balancing and object Tracking Robot Using Artificial Intelligence and Machine Vision 基于人工智能和机器视觉的混合自平衡和目标跟踪机器人

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257916

Santiago Ramos Garces, Mayra Yucely Beb, Abdoulaye Boubakari, H. Ammar, Mohamed A. Wahby Shalaby

{"title":"Hybrid Self-Balancing and object Tracking Robot Using Artificial Intelligence and Machine Vision","authors":"Santiago Ramos Garces, Mayra Yucely Beb, Abdoulaye Boubakari, H. Ammar, Mohamed A. Wahby Shalaby","doi":"10.1109/NILES50944.2020.9257916","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257916","url":null,"abstract":"Over the past decade, mobile autonomous robots have been widely used efficiently for different applications. Recently, self-balancing robots attracted more attention and showed impressive performance. A self-balancing robot is simply a two-wheeled robot; hence it needs to be balanced vertically using a closed-loop control algorithm. In this paper, a new hybrid two-wheeled self-balancing robot is fully designed and implemented, which is able to track objects and to avoid obstacles efficiently. The proposed robot consists of a two-wheeled chassis equipped with an ultrasonic sensor, camera, gyroscope and accelerometer allowing a multi-directional navigation of the robot tracker. Additionally, the Internet of Things (IOT) framework has been used for remote control and monitoring via wireless interface. The Fuzzy Logic Controller is designed considering all the realistic hindrances in order to achieve high performance and meet robust stability. To approximate the position of an object about the robot, vision system and ultrasonic sensor coupled with a camera are used. Finally, it has been observed via simulation and hardware implementation the efficiency of fuzzy control technique which achieved both stability and robustness outcomes; however, due to processing restrictions other control techniques are also successfully implemented. Regarding the experimental results it can be concluded that, balancing and tracking techniques can be achieved by applying sequential algorithm in Simulink combined with vision system and sensors like ultrasonic, accelerometer and gyroscope.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129264542","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}

引用次数: 3