Pub Date : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391630
Naveed Ahmed Unar, N. H. Mirjat, M. A. Uqaili, S. Usman, M. Z. Shaikh
This paper presents performance analysis of high voltage transmission line disc insulators installed on 220 KV and 500 KV transmission line towers in highly contaminated and thus polluted southern coastal areas of Pakistan. This study is based on case studies carried out on three 500 KV transmission lines and two 220 KV transmission lines to investigate the effects of Room-Temperature Vulcanized (RTV) Silicon Coating on disc insulators in mitigating tripping and power outages resulting from pollution flashover. The flashover inhering from atmosphere in high voltage disc insulators on high power transmission lines is a major bottleneck in smooth power evacuation of electrical power. The improving behavior of transmission lines resulting in reduced tripping and reduced maintenance cost in terms of lesser power outages in the aftermath of replacement of faulty and poor condition disc insulators is also studied and results are concluded. Mitigation of frequent tripping and power outages occurring from flashovers due to environmental constraints is possible by either employing Room-Temperature Vulcanized Silicon and Polymer Coating of disc insulators or replacing poor quality disc insulators with good quality disc insulators.
{"title":"Performance Analysis of High Voltage Transmission Line Insulators in Highly Polluted Southern Coastal Areas of Pakistan","authors":"Naveed Ahmed Unar, N. H. Mirjat, M. A. Uqaili, S. Usman, M. Z. Shaikh","doi":"10.1109/GCWOT49901.2020.9391630","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391630","url":null,"abstract":"This paper presents performance analysis of high voltage transmission line disc insulators installed on 220 KV and 500 KV transmission line towers in highly contaminated and thus polluted southern coastal areas of Pakistan. This study is based on case studies carried out on three 500 KV transmission lines and two 220 KV transmission lines to investigate the effects of Room-Temperature Vulcanized (RTV) Silicon Coating on disc insulators in mitigating tripping and power outages resulting from pollution flashover. The flashover inhering from atmosphere in high voltage disc insulators on high power transmission lines is a major bottleneck in smooth power evacuation of electrical power. The improving behavior of transmission lines resulting in reduced tripping and reduced maintenance cost in terms of lesser power outages in the aftermath of replacement of faulty and poor condition disc insulators is also studied and results are concluded. Mitigation of frequent tripping and power outages occurring from flashovers due to environmental constraints is possible by either employing Room-Temperature Vulcanized Silicon and Polymer Coating of disc insulators or replacing poor quality disc insulators with good quality disc insulators.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"20 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123570839","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391593
Muhammad Imran Saleem, P. Otero, Shaheena Noor, R. Aftab
Ability to express yourself to the events that occurs in your surroundings is one of the priceless gift that we have. Normal human being have the ability to see, listen, talk and express themselves but there are few people who are unable to communicate and are not able to express themselves. Moreover it is also difficult for them to understand what normal people are saying to them and for normal people too to commute with them. Therefore to bridge the gap between these two we have created a full duplex smart communication system that less the communication and its gap between the normal people and the people who are unable to communicate. Our system focuses on Deaf & Dumb (D&D) people. Using our approach we have achieved an accuracy and precision of 95% and 85.5%. This paper has two major contributions. At start, uses the Leap Motion Device for hand gesture recognition. This will track data that will be used for training Pakistani Sign Language (PSL). In the second part, when normal people is trying to communicate with them, they can do it without learning a sign language. We have implemented this by using our Android Application that converts speech to text language that can be understood by the deprived one easily.
{"title":"Full Duplex Smart System for Deaf & Dumb and Normal People","authors":"Muhammad Imran Saleem, P. Otero, Shaheena Noor, R. Aftab","doi":"10.1109/GCWOT49901.2020.9391593","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391593","url":null,"abstract":"Ability to express yourself to the events that occurs in your surroundings is one of the priceless gift that we have. Normal human being have the ability to see, listen, talk and express themselves but there are few people who are unable to communicate and are not able to express themselves. Moreover it is also difficult for them to understand what normal people are saying to them and for normal people too to commute with them. Therefore to bridge the gap between these two we have created a full duplex smart communication system that less the communication and its gap between the normal people and the people who are unable to communicate. Our system focuses on Deaf & Dumb (D&D) people. Using our approach we have achieved an accuracy and precision of 95% and 85.5%. This paper has two major contributions. At start, uses the Leap Motion Device for hand gesture recognition. This will track data that will be used for training Pakistani Sign Language (PSL). In the second part, when normal people is trying to communicate with them, they can do it without learning a sign language. We have implemented this by using our Android Application that converts speech to text language that can be understood by the deprived one easily.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125303460","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391592
Vivek Chamoli, R. Prakash, A. Vidyarthi
Satellite signals become a plane wave by the time they reach Earth's surface Signal consistency together with satellite availability and geometric precision dilution plays an important role in positional accuracy. Some satellite communication research indicated that the elevation angle of the transmission path of the signal determines the efficiency of the links between the transmitter and the receiver. Hence, there is requirement of mathematical model, which provide relation between received signal strength (C/N0) and elevation angle to predict the direct C/N0. In this paper has been made to develop a mathematical model for predict of direct C/N0 NavIC Geo synchronous satellites. The antenna used in experiment for data collection has been placed on roof top of the Graphic Era University building in Dehradun, India. The NavIC regression model was validated with the experimental data. Average R2 and RMSE value for developed regression model were 0.89 and 1.08 respectively which show good prediction of NavIC C/N0 value with developed model.
{"title":"Mathematical Regression Model to predict Navigation with Indian Constellation (NavIC) Geo Synchronous Satellite System","authors":"Vivek Chamoli, R. Prakash, A. Vidyarthi","doi":"10.1109/GCWOT49901.2020.9391592","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391592","url":null,"abstract":"Satellite signals become a plane wave by the time they reach Earth's surface Signal consistency together with satellite availability and geometric precision dilution plays an important role in positional accuracy. Some satellite communication research indicated that the elevation angle of the transmission path of the signal determines the efficiency of the links between the transmitter and the receiver. Hence, there is requirement of mathematical model, which provide relation between received signal strength (C/N0) and elevation angle to predict the direct C/N0. In this paper has been made to develop a mathematical model for predict of direct C/N0 NavIC Geo synchronous satellites. The antenna used in experiment for data collection has been placed on roof top of the Graphic Era University building in Dehradun, India. The NavIC regression model was validated with the experimental data. Average R2 and RMSE value for developed regression model were 0.89 and 1.08 respectively which show good prediction of NavIC C/N0 value with developed model.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122433996","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391617
Ghulam Hyder, B. S. Chowdhry, Khuhed Memon, A. Ahmed
In today's rapidly developing world where every industry's progress is contributing to adding comfort and safety to human life, the automobile industry is focusing on introducing safe, reliable and autonomous vehicles to save humans from some unbearable losses. Our research aims to serve the purpose of avoiding road accidents caused due to driver's hypo-vigilance, drunk driving or sudden health issues. The proposed system is an SoC (System on Chip) that can be easily installed in the car, it is able to accurately monitor the driver's state while driving and upon observing incapability of driving, the system switches to auto drive mode followed by a safe parking in the left lane. The developed system comprises of four parts. The drowsiness detection sub-system monitors the driver's drowsiness by employing the image processing techniques to detect his face and eyes and determine his drowsy state on the basis of Eye Aspect Ratio (EAR). Alcohol is detected by analyzing the Blood Alcohol Concentration (BAC) levels of driver's continuously, vital signs i.e., heart rate and electrocardiogram (ECG) is measured within the car and if it is observed as being abnormal, the information is coordinated with the driver and with the aid of GSM/GPRS module, information is also forwarded to some concerned family member and emergency helpline. Upon detection of any abnormality by any of the sub-systems, the car switches to auto drive mode. This purpose is served by the auto driving sub- system. Each sub-system developed for the realization of this project is user friendly and easily adaptable within the car. The sub-systems are developed keeping cost, size, reliability and real time response constraints in consideration. Upon testing the system in real world driving scenarios, considerable accuracies are achieved by each sub-system. However, every proposed solution is subjected to some new challenges. The future research may contribute to monitor and avoid more causes of accidents for ensuring human safety and realize a system capable of wide range, safe and reliable autonomous driving.
在当今快速发展的世界,每个行业的进步都在为人类生活的舒适和安全做出贡献,汽车行业正致力于推出安全、可靠和自动驾驶的汽车,以避免人类遭受一些难以忍受的损失。我们的研究目的是为了避免由于驾驶员缺乏警惕性、酒后驾驶或突发健康问题而导致的交通事故。该系统是一种易于安装在汽车上的SoC (system on Chip)系统,它能够在驾驶时准确监控驾驶员的状态,一旦发现驾驶员无法驾驶,系统就会切换到自动驾驶模式,然后在左侧车道安全停车。开发的系统包括四个部分。嗜睡检测子系统通过图像处理技术检测驾驶员的面部和眼睛,并根据眼宽高比(EAR)确定驾驶员的嗜睡状态,从而对驾驶员的嗜睡状态进行监测。通过持续分析驾驶员的血液酒精浓度(BAC)水平来检测酒精,在车内测量心率和心电图(ECG)等生命体征,如果发现异常,则与驾驶员协调信息,并通过GSM/GPRS模块将信息转发给相关家属和紧急求助热线。一旦检测到任何子系统的异常情况,汽车将切换到自动驾驶模式。自动驾驶子系统就是为这一目的服务的。为实现本项目而开发的各个子系统都是用户友好的,易于在车内进行调整。子系统的开发考虑了成本、规模、可靠性和实时响应的约束。在实际驾驶场景中对系统进行测试后,每个子系统都达到了相当高的精度。然而,每一个提出的解决方案都面临着一些新的挑战。未来的研究可能有助于监测和避免更多的事故原因,以确保人类的安全,实现大范围、安全、可靠的自动驾驶系统。
{"title":"The Smart Automobile (SAM): An Application Based on Drowsiness Detection, Alcohol Detection, Vital Sign Monitoring and Lane based Auto Drive to avoid Accidents","authors":"Ghulam Hyder, B. S. Chowdhry, Khuhed Memon, A. Ahmed","doi":"10.1109/GCWOT49901.2020.9391617","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391617","url":null,"abstract":"In today's rapidly developing world where every industry's progress is contributing to adding comfort and safety to human life, the automobile industry is focusing on introducing safe, reliable and autonomous vehicles to save humans from some unbearable losses. Our research aims to serve the purpose of avoiding road accidents caused due to driver's hypo-vigilance, drunk driving or sudden health issues. The proposed system is an SoC (System on Chip) that can be easily installed in the car, it is able to accurately monitor the driver's state while driving and upon observing incapability of driving, the system switches to auto drive mode followed by a safe parking in the left lane. The developed system comprises of four parts. The drowsiness detection sub-system monitors the driver's drowsiness by employing the image processing techniques to detect his face and eyes and determine his drowsy state on the basis of Eye Aspect Ratio (EAR). Alcohol is detected by analyzing the Blood Alcohol Concentration (BAC) levels of driver's continuously, vital signs i.e., heart rate and electrocardiogram (ECG) is measured within the car and if it is observed as being abnormal, the information is coordinated with the driver and with the aid of GSM/GPRS module, information is also forwarded to some concerned family member and emergency helpline. Upon detection of any abnormality by any of the sub-systems, the car switches to auto drive mode. This purpose is served by the auto driving sub- system. Each sub-system developed for the realization of this project is user friendly and easily adaptable within the car. The sub-systems are developed keeping cost, size, reliability and real time response constraints in consideration. Upon testing the system in real world driving scenarios, considerable accuracies are achieved by each sub-system. However, every proposed solution is subjected to some new challenges. The future research may contribute to monitor and avoid more causes of accidents for ensuring human safety and realize a system capable of wide range, safe and reliable autonomous driving.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128539537","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391612
R. Hussain
Tunnel approach to the security and privacy aspects of communication networks has been an issue since the inception of networking technologies. Neither the technology nor the regulatory and legal frame works proactively play a significant role towards addressing the ever escalating security challenges. As we have move to ubiquitous computing paradigm where information secrecy and privacy is coupled with new challenges of human to machine and machine to machine interfaces, a transformational model for security should be visited. This research is attempted to highlight the peripheral view of IoT based miniature device security paradigm with focus on standardization, regulations, user adaptation, software and applications, low computing resources and power consumption, human to machine interface and privacy.
{"title":"Peripheral View of IoT based Miniature Devices Security Paradigm","authors":"R. Hussain","doi":"10.1109/GCWOT49901.2020.9391612","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391612","url":null,"abstract":"Tunnel approach to the security and privacy aspects of communication networks has been an issue since the inception of networking technologies. Neither the technology nor the regulatory and legal frame works proactively play a significant role towards addressing the ever escalating security challenges. As we have move to ubiquitous computing paradigm where information secrecy and privacy is coupled with new challenges of human to machine and machine to machine interfaces, a transformational model for security should be visited. This research is attempted to highlight the peripheral view of IoT based miniature device security paradigm with focus on standardization, regulations, user adaptation, software and applications, low computing resources and power consumption, human to machine interface and privacy.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124192633","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391591
M. K. Hasan, Musse Mahmud Ahmed, A. F. Ismail, S. Islam, A. Hashim, R. Hassan
The exceptionally designed correspondence is currently on-request in the force business mainly for the control, estimation, and checking frameworks in electrical substations that are profoundly essential to have high accessibility, precise, and continuous observing frameworks. The conventional substations are equipped with Programmable Logic Controllers (PLCs) with the Supervisory Control and Data Acquisition (SCADA) frameworks. These PLCs operate the smart grid substations' data as a communication channel by covering a regulated carrier frequency of the overhead transmission lines. Existing PLCs with SCADA and Phasor Measurement Unit (PMU) with the IEEE C37.118 based WAM framework faces synchronization difficulties in estimating real-time phasors and controlling of Wide Area Measurement System (WAMS) in the smart grid network. Along these lines, this article aims to build up a precise synchronization framework for two-way correspondence in the smart grid network. The key objective is to relieve the stage counterbalanced and mitigate delay errors to monitor the grids through PMUs based WAMS continuously. The simulation result suggests that the proposed framework archives better precision than the existing IEEE C37.118.
{"title":"Timing Synchronization Framework for Wide Area Measurement System in Smart Grid Computing","authors":"M. K. Hasan, Musse Mahmud Ahmed, A. F. Ismail, S. Islam, A. Hashim, R. Hassan","doi":"10.1109/GCWOT49901.2020.9391591","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391591","url":null,"abstract":"The exceptionally designed correspondence is currently on-request in the force business mainly for the control, estimation, and checking frameworks in electrical substations that are profoundly essential to have high accessibility, precise, and continuous observing frameworks. The conventional substations are equipped with Programmable Logic Controllers (PLCs) with the Supervisory Control and Data Acquisition (SCADA) frameworks. These PLCs operate the smart grid substations' data as a communication channel by covering a regulated carrier frequency of the overhead transmission lines. Existing PLCs with SCADA and Phasor Measurement Unit (PMU) with the IEEE C37.118 based WAM framework faces synchronization difficulties in estimating real-time phasors and controlling of Wide Area Measurement System (WAMS) in the smart grid network. Along these lines, this article aims to build up a precise synchronization framework for two-way correspondence in the smart grid network. The key objective is to relieve the stage counterbalanced and mitigate delay errors to monitor the grids through PMUs based WAMS continuously. The simulation result suggests that the proposed framework archives better precision than the existing IEEE C37.118.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131542822","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391599
Aastha Nagpal, K. Singha, Rakshita Gouri, Aqusa Noor, A. Bagwari, Shamimul Qamarma
In this paper, we propose a well-organized system to bridge the gap of communication for the speech-impaired person and assist him in a smooth conversation with a normal person by providing an artificial mouth. This paper includes the method of easy conversion of the hand gestures and the intact conversion of these gestures into speech and text messages. A flex sensor is used to take the input from gestures and forward it to the microcontroller Arduino Uno where a template database is created to assign the desired message which is further processed to be displayed on the LCD display and the acquainted sound signal stored in the Secure Digital card is amplified before it is provided to the speaker to generate the audio signal and ensure better sound quality.
{"title":"Helping Hand Device for Speech Impaired People","authors":"Aastha Nagpal, K. Singha, Rakshita Gouri, Aqusa Noor, A. Bagwari, Shamimul Qamarma","doi":"10.1109/GCWOT49901.2020.9391599","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391599","url":null,"abstract":"In this paper, we propose a well-organized system to bridge the gap of communication for the speech-impaired person and assist him in a smooth conversation with a normal person by providing an artificial mouth. This paper includes the method of easy conversion of the hand gestures and the intact conversion of these gestures into speech and text messages. A flex sensor is used to take the input from gestures and forward it to the microcontroller Arduino Uno where a template database is created to assign the desired message which is further processed to be displayed on the LCD display and the acquainted sound signal stored in the Secure Digital card is amplified before it is provided to the speaker to generate the audio signal and ensure better sound quality.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125058881","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391604
Sara Jamil, R. Qureshi, Sohaib Ahmed
As the number of Internet of Things (IoT) devices are increasing, the data that is being produced is increasing as well. Cloud computing provides services for data storage and processing by using IT infrastructure on remote locations. With the increase in data, the load on cloud computing and communication infrastructure is on the rise as well, leading to increase in response time and latency. Fog computing addresses this issue to an extent by brining processing closer to the edge. As fog infrastructures are significantly different from cloud in terms of scale, processing capacity, bandwidth etc., they require focused analysis to improve their performance. In this paper, we analyze impact of resource distribution in small-scale fog infrastructure on its performance and resource utilization. We examine different topological arrangements of fog devices with varying resources. Our results show that the topological arrangement of fog resources affects the overall performance of fog infrastructure.
{"title":"Analyzing Effects of Resource Distribution on Performance of Fog Infrastructure","authors":"Sara Jamil, R. Qureshi, Sohaib Ahmed","doi":"10.1109/GCWOT49901.2020.9391604","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391604","url":null,"abstract":"As the number of Internet of Things (IoT) devices are increasing, the data that is being produced is increasing as well. Cloud computing provides services for data storage and processing by using IT infrastructure on remote locations. With the increase in data, the load on cloud computing and communication infrastructure is on the rise as well, leading to increase in response time and latency. Fog computing addresses this issue to an extent by brining processing closer to the edge. As fog infrastructures are significantly different from cloud in terms of scale, processing capacity, bandwidth etc., they require focused analysis to improve their performance. In this paper, we analyze impact of resource distribution in small-scale fog infrastructure on its performance and resource utilization. We examine different topological arrangements of fog devices with varying resources. Our results show that the topological arrangement of fog resources affects the overall performance of fog infrastructure.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122120250","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391590
A. Naseer, E. Baro, Sultan Daud Khan, Y. V. Gordillo
Autonomous Underwater Vehicles and Remotely Operated Vehicles equipped with HD cameras are used by the scientist to capture the underwater footages efficiently and accurately. The abundance of the Norway Lobster Nephrops norvegicus stock in the Gulf of Cadiz is assessed based on the identification and counting of the burrows where they live, using underwater videos. The Instituto Español de Oceanografía (IEO) conducts an annual standard underwater television survey (UWTV) to generate burrow density estimates of Nephrops within a defined area, with a coefficient of variation (CV) or relative standard error of less than 20%. Currently, the identification and counting of the Nephrops burrows are carried out manually by the experts. This is quite hectic and time consuming job. Computer Vision and Deep learning plays a vital role now a days in detection and classification of objects. The proposed system introduces a deep learning based automated way to identify and classify the Nephrops burrows. The proposed work is using current state of the art Faster RCNN models Inception v2 and MobileNet v2 for objects detection and classification. Tensorflow is used to evaluate the Inception and MobileNet performance with different numbers of training images. The average mean precision of Inception is more than 75% as compared to MobileNet which is 64%. The results show the comparison of Inception and MobileNet detections, as well as the calculation of True Positive and False Positive detections along with undetected burrows.
科学家使用配备高清摄像机的自主水下航行器和遥控航行器高效准确地捕捉水下图像。加的斯湾挪威龙虾(norwegian Lobster Nephrops norvegicus)的丰度是根据对它们生活的洞穴的识别和计数,使用水下视频来评估的。Español de Oceanografía研究所(IEO)每年进行一次标准水下电视调查(UWTV),以在确定的区域内产生肾脏病变的洞穴密度估计,变异系数(CV)或相对标准误差小于20%。目前,肾脏洞的识别和计数是由专家手工进行的。这是一项相当忙碌和耗时的工作。如今,计算机视觉和深度学习在物体的检测和分类中起着至关重要的作用。提出的系统引入了一种基于深度学习的自动化方法来识别和分类肾洞。提出的工作是使用当前最先进的更快的RCNN模型Inception v2和MobileNet v2进行对象检测和分类。使用Tensorflow来评估Inception和MobileNet在不同数量的训练图像下的性能。盗梦空间的平均精度超过75%,而MobileNet的平均精度为64%。结果显示了Inception和MobileNet检测的比较,以及真阳性和假阳性检测以及未检测到的洞穴的计算。
{"title":"Automatic Detection of Nephrops norvegicus Burrows in Underwater Images Using Deep Learning","authors":"A. Naseer, E. Baro, Sultan Daud Khan, Y. V. Gordillo","doi":"10.1109/GCWOT49901.2020.9391590","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391590","url":null,"abstract":"Autonomous Underwater Vehicles and Remotely Operated Vehicles equipped with HD cameras are used by the scientist to capture the underwater footages efficiently and accurately. The abundance of the Norway Lobster Nephrops norvegicus stock in the Gulf of Cadiz is assessed based on the identification and counting of the burrows where they live, using underwater videos. The Instituto Español de Oceanografía (IEO) conducts an annual standard underwater television survey (UWTV) to generate burrow density estimates of Nephrops within a defined area, with a coefficient of variation (CV) or relative standard error of less than 20%. Currently, the identification and counting of the Nephrops burrows are carried out manually by the experts. This is quite hectic and time consuming job. Computer Vision and Deep learning plays a vital role now a days in detection and classification of objects. The proposed system introduces a deep learning based automated way to identify and classify the Nephrops burrows. The proposed work is using current state of the art Faster RCNN models Inception v2 and MobileNet v2 for objects detection and classification. Tensorflow is used to evaluate the Inception and MobileNet performance with different numbers of training images. The average mean precision of Inception is more than 75% as compared to MobileNet which is 64%. The results show the comparison of Inception and MobileNet detections, as well as the calculation of True Positive and False Positive detections along with undetected burrows.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125820589","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391626
Muhammad Khalid Khan, A. Yousuf, Faisal Ahmed
Pollutants (mostly gases) found in the air that cause damage and negative changes in the environment is termed as air pollution. Air pollutants when released into the environment effects human health directly or in an indirect manner. Along with this it causes multiple environmental changes, such as ozone depletion, global climate change, eutrophication and forest damages. These pollutants also effect on wildlife and crops. Since the science behind air pollution has remained steady, we have made an attempt to develop a model for human livability based on the quantities of four major air pollutants in the air, namely; Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2), Carbon Monoxide (CO), and ground level ozone (O3). The results of this study would help researchers to assess human livability conditions in different areas, using data collected for the aforementioned pollutants in that area. Results are also helpful in drafting policies for improving the quality of living in different places, in a more organized fashion.
{"title":"Analyzing Air Quality to Model Human Livability using Machine Learning Techniques","authors":"Muhammad Khalid Khan, A. Yousuf, Faisal Ahmed","doi":"10.1109/GCWOT49901.2020.9391626","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391626","url":null,"abstract":"Pollutants (mostly gases) found in the air that cause damage and negative changes in the environment is termed as air pollution. Air pollutants when released into the environment effects human health directly or in an indirect manner. Along with this it causes multiple environmental changes, such as ozone depletion, global climate change, eutrophication and forest damages. These pollutants also effect on wildlife and crops. Since the science behind air pollution has remained steady, we have made an attempt to develop a model for human livability based on the quantities of four major air pollutants in the air, namely; Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2), Carbon Monoxide (CO), and ground level ozone (O3). The results of this study would help researchers to assess human livability conditions in different areas, using data collected for the aforementioned pollutants in that area. Results are also helpful in drafting policies for improving the quality of living in different places, in a more organized fashion.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116005516","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}