2021 4th International Conference on Computing and Communications Technologies (ICCCT)最新文献_第6页

Novel weed detection algorithm for sesame crop using Region-Based CNN with Support Vector Machine 基于区域CNN和支持向量机的芝麻作物杂草检测新算法

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711885

J. Julie, J. Athanesious, T. Santhosh, B. Vigneshwar

引用次数: 1

Artificial Intelligence Assisted IoT Data Intrusion Detection 人工智能辅助物联网数据入侵检测

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711795

A. Shukla, Shahanawaj Ahamad, G. Rao, Avein Jabar Al-Asadi, Ankur Gupta, Makhan Kumbhkar

引用次数: 20

Cloud-O-Col for PLCS Using IoT 使用物联网的plc Cloud-O-Col

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711861

K. M. Raj, P. Naveen, N. Balaji, M.K. Ganesan, A.M. Aakash, S. Vengatesan

{"title":"Cloud-O-Col for PLCS Using IoT","authors":"K. M. Raj, P. Naveen, N. Balaji, M.K. Ganesan, A.M. Aakash, S. Vengatesan","doi":"10.1109/ICCCT53315.2021.9711861","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711861","url":null,"abstract":"Discrete manufacturing industries or Job Shops often involve usage of PLCs from different vendors with different communication protocols for various operations. So data from all the PLCs cannot be acquired collectively as PLCs cannot communicate with PLCs from other vendors or which uses other protocols for communication. This is a barrier in communication which obstructs efficient data transfer. Thereby a field user with minimal technical knowledge cannot acquire the data and in a similar fashion this barrier leads to a lot of issues like inefficient data circulation. The existing solution to overcome this barrier includes usage of dedicated SCADA or DCS, usage of high end PLCs to employ Master-Slave communication, costly protocol converters, deployment of OPC Servers etc. In all these cases the cost involved is too high for a medium scale industry to fully utilize the aspect of efficient communication. The idea behind the project is to develop a black box where the inputs can be any process associated with any PLCs(different vendors/protocols) and the output will be collective data stream which is cleaned, scrutinized and can be delivered to specific personnel in a way to break the communication barrier by utilization of IoT and Cloud Computing.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134462118","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: 0

Hybrid Particle Swarm Optimization Algorithm to Solve Multi-Index Fixed Charge Transportation Problem 多指标固定收费运输问题的混合粒子群优化算法

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711794

Bikramjit Singh, Amarinder Singh

引用次数: 0

IoT Implementation-A Comparative study 物联网实施——比较研究

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711815

S. Sangeetha, Karthick Ramanathan, C. Kumaresan, T. Porselvi, Radha Ram Mohan

引用次数: 1

Communication Between Two Vehicles Using LoRa 使用LoRa的两车通信

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711833

V. A. Velvizhi, G. Senbagavalli, M. Anbarasan, A. R, Harini I, Darsana Kumari M

{"title":"Communication Between Two Vehicles Using LoRa","authors":"V. A. Velvizhi, G. Senbagavalli, M. Anbarasan, A. R, Harini I, Darsana Kumari M","doi":"10.1109/ICCCT53315.2021.9711833","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711833","url":null,"abstract":"There is tremendous increase of usage of vehicles in past decade. The reason for such vast utilization is due to the development of Industrial Revolution. As the number of users on road increases, there is a need for safe mobility. It is the prime concern when moving from 5G to 6G technology. Communication between vehicle, called vehicle to vehicle communication (V2X) handles safe communication. Autonomous traffic system and autonomous driving are some of the measures for safe driving. Detection and collision avoidance can be achieved between vehicles using systems that operates on any one of the two prominent techniques namely, LoRa an Ultrasonic range sensor. An efficient method to communicate between two vehicles is through LoRa. It ensures safe driving and prevent accidents. In this proposed method, a system that consist of an ultrasonic sensor is used to detect the object along the path of the vehicle. An alert signal is sent to the other Pulse sensor which senses the heartbeat of the driver and alcohol sensor that detect the consumption of liquor is also embedded in system. vehicle if the object can't move. Temperature sensor sense the heat generated inside the car and an alert signal is sent o the driver at the rear view when its value exceeds certain threshold. This helps to prevent accidents as the vehicle behind can change the direction.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128874818","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: 0

Face Recognition and Mask Detection Technology for Surveillance Systems 监控系统中的人脸识别和掩码检测技术

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711831

S. Srinivasan, R. Sundar, Hemavathi S, Sumathi Sokkanarayanan, Mithileysh Sathiyanarayanan

引用次数: 0

Crop Yield Prediction Using Machine Learning Algorithm 利用机器学习算法预测作物产量

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711853

Ranjani J, V. Kalaiselvi, A. Sheela, D. D, Janaki G

{"title":"Crop Yield Prediction Using Machine Learning Algorithm","authors":"Ranjani J, V. Kalaiselvi, A. Sheela, D. D, Janaki G","doi":"10.1109/ICCCT53315.2021.9711853","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711853","url":null,"abstract":"Agriculture is the backbone of the Indian economy, with more than half of the country's people relying on it for subsistence. Crop production is predicted using machine learning techniques based on parameters such as rainfall, crop, and meteorological conditions. The most popular and powerful supervised machine learning algorithm, Random Forest, can do both classification and regression tasks. They are used in crop selection to reduce crop yield output losses, regardless of the distracting environment. Weather, climate, and other related environmental elements have posed a significant danger to agriculture's long-term viability. Machine learning (ML) is significant since it offers a decision-support tool for Crop Yield Prediction (CYP), which may help with decisions like which crops to cultivate and what to do during the crop's growing season. Crop yield estimation's major purpose is to boost agricultural crop production, and it does so using a variety of well-established models. Machine learning is increasingly widely used around the world due to its success in a range of disciplines such as forecasting, fault detection, pattern identification, and so on. A key agricultural concern is a yield prediction. Farmers will be able to determine the yield of their crop before growing on the agricultural field using the results of this study, allowing them to make informed decisions. To assist farmers in maximizing agricultural yield, timely instructions to forecast future crop output and analysis are required.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132553018","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: 0

Forest Fire Detection and Guiding Animals to a Safe Area by Using Sensor Networks and Sound 利用传感器网络和声音探测森林火灾并引导动物到安全区域

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711785

V. S, T. G, Sankhasubhra Nandi, S. M, Ashok. P

{"title":"Forest Fire Detection and Guiding Animals to a Safe Area by Using Sensor Networks and Sound","authors":"V. S, T. G, Sankhasubhra Nandi, S. M, Ashok. P","doi":"10.1109/ICCCT53315.2021.9711785","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711785","url":null,"abstract":"Forest fires are one of the main causes of environmental degradation. More than a million species of animals have lost their lives in the 2019–2020 wildfire that spread in the Amazon forest. The model that we are proposing, intends to drastically reduce the number of lives lost in such unfortunate events and also alert the first response accelerating their momentum. Our idea is to have Wireless Sensor Networks (WSN) placed in a widely distributed manner across the forest area. Each module consists of a smoke sensor, temperature, humidity sensor, and a speaker which is connected to a Node-MCU. These modules collect data that is necessary for the prediction of wildfires. The data collected is analyzed along with the wind direction by our deep learning algorithm which predicts the wildfire spreading direction. This prediction is used to find a safe route for the animals to move away and get to a safe zone. Then the animals are manipulated to move away from the wildfire with the help of distressing sounds produced from the speaker triggering their flight response for their self-preservation. These distressing sounds are produced in a pattern rather than just producing it wherever wildfire is present. Hence leading wildlife to a safe zone And also nearby villages can be warned by a siren.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126687859","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

Topical Sentiment Classification to Unmask the Concerns of General Public during COVID-19 Pandemic using Indian Tweets 使用印度推文进行主题情感分类，以揭露公众在COVID-19大流行期间的担忧

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711863

K. Anuratha, Soshya Joshi, P. Sharmila, J. Nandhini, M. Paravthy

{"title":"Topical Sentiment Classification to Unmask the Concerns of General Public during COVID-19 Pandemic using Indian Tweets","authors":"K. Anuratha, Soshya Joshi, P. Sharmila, J. Nandhini, M. Paravthy","doi":"10.1109/ICCCT53315.2021.9711863","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711863","url":null,"abstract":"One of the vibrant social media platforms is which has more than half a million uses across the globe. It has become a popular means for dissemination of the news, to discuss on world events. It is also medium to converse about health centric information with updates given by the concerned officials and general public health-related information, during an abnormal situation like COVID - 19 pandemics. As the dimension of data and the linguistics of data been discussed is diverse in nature, it is a challenging task to identify only the content that is interesting and useful. Few studies have been done exploring the regional languages than other English. In this work, we explored huge number of tweets on post-lock down during Covid-19 pandemic by analyzing the sentiments expressed on the tweets and topic identification. To do the same we have employed English 2,126,421 and 76,265 Tamil tweets for analyzing and discussing the usefulness of sentiment analysis and topic modeling in both of the languages. Seven subjects were that are ranked on the analysis of content discussed from India, in Twitter during the four months from May 2020 and August 2020. Tamil tweets are investigated to understand the sentiments of people during anamount of time and the association to the media information published, and the assessment of the psychological behavior of human in India. It is always significant to understand the human opinions, information communication and building an agreement including social media in different regions of the nation.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116876974","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