2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)最新文献_第3页

Smart Meadow Skiver Robot 智能草地Skiver机器人

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9768018

A. Reethika, M. Indudarshini, V. Maheswari, K. Kabil, S. Pooja, S. Praveen Kumar

{"title":"Smart Meadow Skiver Robot","authors":"A. Reethika, M. Indudarshini, V. Maheswari, K. Kabil, S. Pooja, S. Praveen Kumar","doi":"10.1109/IC3IOT53935.2022.9768018","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9768018","url":null,"abstract":"Grasscutter machines have become very prevalent recently. In earlier days, for grass cutting, we used manually handled devices, so the old grass cutter needs to be replaced by automated ones. This project describes the automatic battery-operated grass cutter machine designed to eliminate human efforts in the grass cutting field. Due to a continuous increase in the cost of fuel of emission gases, devices are commonly used to cut the grass which creates more pollution, noise irritation, loss of energy and power. This necessitated the use of a battery charger to drive a smart meadow skiver bot. The robotic vehicle consists of a cutter blade, to easily cut the grass with a speed of high RPM. Automated meadow bot has a smart system that cuts the grass completely in the lawn areas by means of an aligned manner. This smart vehicle consists of a processor, it will do the work based on the commands induced in it and automatically stops once the grass cutting is over. Meanwhile, it controls the vehicle movement and avoids obstacles in the lawn area. Also, by adding an extra feature to our robot, we developed a water sprinkler and a pesticide sprayer. The main target of this machine is to reduce human efforts with a fully automated renewable energy-based project.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117288273","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: 2

Blockchain Technology: Applications and Open Issues 区块链技术:应用和开放问题

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767871

Swatisipra Das, Jayanti Rout, Minati Mishra

引用次数: 3

Ghajini - An application For Dementia Patients Ghajini -痴呆患者的应用程序

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767962

V. Kalaiselvi, D. Rani, D. K, Anupama Jeyashree S, P. M.

{"title":"Ghajini - An application For Dementia Patients","authors":"V. Kalaiselvi, D. Rani, D. K, Anupama Jeyashree S, P. M.","doi":"10.1109/IC3IOT53935.2022.9767962","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767962","url":null,"abstract":"Dementia is a state of decrease in cognitive function which can be of chronic or progressive nature (i.e. the ability to generate and process thoughts) that exceeds what might be typically expected as a result of biological aging. A person with dementia has difficulties concentrating, thinking, orienting, comprehending, calculating, learning, and communicating. However, their consciousness is not affected. Mood, emotional control, behavior, and motivation tend to change along with the impairment in cognitive function. As mood fluctuations are a fairly common symptom of dementia, we proposed the mobile application Ghajini which assists affected individuals by tracking their mood fluctuations. This app allows caregivers to keep an album of pictures of the patient and their loved ones. The user can store descriptions associated with the memories behind the photos. This feature is beneficial to patients who are having trouble recalling their memories. In the “About Me” section, the patient's information such as allergies, emergency contacts can be stored. Since most people with dementia are elderly, this app has also been designed with a text-to-speech function to make it more user-friendly. Furthermore, they will be able to improve their cognitive ability through brain games and quizzes.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127780660","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

An energy efficient algorithm in MANET using Monarch Butterfly Optimization and Cluster Head Load Distribution 一种基于帝王蝶优化和簇头负载分配的MANET节能算法

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767917

V. T, R. Chakravarthi

{"title":"An energy efficient algorithm in MANET using Monarch Butterfly Optimization and Cluster Head Load Distribution","authors":"V. T, R. Chakravarthi","doi":"10.1109/IC3IOT53935.2022.9767917","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767917","url":null,"abstract":"The energy consumption of mobile devices which are battery powered is increasing due to the emerging multimedia applications and tremendous traffic demands for ubiquitous access. So in mobile ad hoc networks (MANETs), Energy Efficiency (EE) is an important parameter. This paper proposes an optimum load distribution system for MANET in the head of cluster and member nodes of cluster, which decreases energy fatigue. Artificial Bee Colony algorithm which is incorporated with Monarch Butterfly Optimization algorithm is used to form the cluster and this algorithm is termed as HAMBO in association with Cluster Head Load Distribution (HAMBO-CHLD). Associative clustering is used by this proposed load distribution scheme. Associative clustering is done using the balancing energy and load factors in sensor nodes. Associative cluster heads lower the cluster head's transmission burden. The cluster's member nodes are using multi-hop communication to send data to the cluster head (CH) in a load-balanced fashion. The energy wastage in cluster are avoided using distribution of load. Using multi-hop technique, routing from clusters to Access Points (AP) is made more effective. When compared to existing systems, the experimental findings reveal that the suggested method improves energy efficiency and increases the lifetime of a network.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124258644","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

Single image haze removal using CNN based encoder-decoder architecture 使用基于CNN的编码器-解码器架构去除单幅图像的雾霾

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767867

Sivaji Satrasupalli, Ebenezer Daniel, Sitaramanjaneya Reddy Gunturu

引用次数: 1

A statistical approach to identify diseased leaf from healthy 一种从健康叶片中识别患病叶片的统计方法

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767995

E. Priya, N. Dhanavarsha, S. V. Gayathri, N. Pavithra

{"title":"A statistical approach to identify diseased leaf from healthy","authors":"E. Priya, N. Dhanavarsha, S. V. Gayathri, N. Pavithra","doi":"10.1109/IC3IOT53935.2022.9767995","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767995","url":null,"abstract":"The economic advancement of a country depends on the green revolution. Productivity enhancement plays a significant part in improvising green revolution for country like India. Plant nutrition should be monitored to improve the yield in agriculture. This could be done either manually or by automatic procedure. Manual procedure drags the process. So the best way is to identify the mal nutrient of a plant by categorizing the diseased plant from the healthy plant. In this work, the leaf of Pongamia Pinnata species is taken from Mendeley Data. These leaves possess RGB color. They are converted into gray space along with contrast enhancement for further processing. Texture and tone features such as gray-level co-occurrence matric, statistical, histogram and probability measures are extracted from the contrast enhanced images. Statistical-based t test is conducted to find the significant features in categorizing the leaves into diseased and healthy. Among the 29 features, results demonstrate that energy is the most significant ($p=0.0002$) feature followed by maximum probability ($p=0.0047$) and information measure of correlation ($p=0.0073$). A good correlation ($r=0.566$) is observed for the feature energy with the out class, namely healthy and diseased. This work thus involves automation in the process of identifying the diseased leaf from healthy.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114968520","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

Sentiment Analysis using a Machine Learning Approach in Python 在Python中使用机器学习方法进行情感分析

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9768004

Md. Tabil Ahammed, A. Gloria, Silva Deena J, Md. Shariar Rahman Oion, Sudipto Ghosh, P. Balaii, Tamima Nisat

{"title":"Sentiment Analysis using a Machine Learning Approach in Python","authors":"Md. Tabil Ahammed, A. Gloria, Silva Deena J, Md. Shariar Rahman Oion, Sudipto Ghosh, P. Balaii, Tamima Nisat","doi":"10.1109/IC3IOT53935.2022.9768004","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9768004","url":null,"abstract":"Every day, people all over the world use social networking sites to express their thoughts on a broad range of issues. amongst the most well-known social networking sites is “Facebook” for exchanging messages with friends and family. People express their ideas, beliefs and experiences about circumstance. This research intends to create a prototype that analyzes people's attitudes towards the social difficulties of women, a topic that is becoming more relevant in many nations. Using a Facebook scraper written in Python, we were able to collect a dataset of Facebook data, which we subsequently cleaned up using the nltk toolkit. Machine learning techniques and approaches are used to study the feelings of individuals. It is possible in Python to classify each Facebook post as either good, negative, or neutral, depending on the polarity of its thoughts. The hashtags #Women and #MeToo were used to collect data. According to the results of the research, women's experiences, views, and concerns are more often expressed using the hashtag than those of males. The model was built and tested using a variety of machine learning techniques. The accuracy, recall, and f1-score of these models were evaluated using a variety of testing criteria. Furthermore, the performance of each model is compared to each other.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117288050","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: 4

An Experimental Performance Evaluation of Satellite Imagery Enhancement and Segmentation Techniques for Effective Visual Display 有效视觉显示的卫星图像增强和分割技术的实验性能评价

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767946

Neetu Manocha, Rajeev Gupta

{"title":"An Experimental Performance Evaluation of Satellite Imagery Enhancement and Segmentation Techniques for Effective Visual Display","authors":"Neetu Manocha, Rajeev Gupta","doi":"10.1109/IC3IOT53935.2022.9767946","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767946","url":null,"abstract":"The satellite imagery captured by high-density cameras available with satellites comprises heaps of meta-data and other related statistics about the Earth's external layer. In any case either obscure lights, different weather conditions, or other reasons, the worth of these photographs is fall down. Well known investigators suggested various algorithms for satellite imagery improvement. Regardless, after the distinct exploration, the makers have investigated that most of the current methods doesn't convey a precise outcome. With the continuation of exploration, the authors have proposed a Satellite imagery improvement and enhancement structure named SIE-EVD, to lessen the dullness or noise of satellite imagery without dropping high-review smoothness for the dominant pictorial show by means of CBIR. The authors have likewise proposed a hybrid segmentation technique named HIST-SI for satellite imagery to reduce the division error rate. In this paper, the authors examined a definite experimental execution assessment of proposed Satellite Image Enhancement and Segmentation Techniques for Effective Visual Display. After the experimentation, the authors saw that the proposed methods are showing better results for satellite imagery.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121967823","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

Smart Elevator Cabin Sanitization and Disinfection for COVID 新型冠状病毒肺炎的智能电梯舱室卫生消毒

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9768017

S. Nagaraj, K. Srividya, B. Puviyarasi, K. Santhosh, N. Sabareeswaran

{"title":"Smart Elevator Cabin Sanitization and Disinfection for COVID","authors":"S. Nagaraj, K. Srividya, B. Puviyarasi, K. Santhosh, N. Sabareeswaran","doi":"10.1109/IC3IOT53935.2022.9768017","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9768017","url":null,"abstract":"Acute respiratory distress syndrome is a severe form of asthma. SARS-COV 2 is a virus that is the cause of the COVID epidemic. SARS- COV 2 is mostly transmitted through the air inhalation of respiratory droplets ejected by infected people. People are in danger as a result of this developing COVID-19 and other diseases like OMICRON with symptoms that are similar to COVID, by the patterns of transmission. The continuous pandemic demonstrates the need for us to work together to avoid disaster. Elevators are a type of transportation that are used even in small enclosed areas with a number of settings, frequently transporting a large number of users in a short period of time. For Infection prevention and control elevators should be redesigned. Currently, manual procedures are used for cleaning and disinfecting elevator cabins, which takes a lot of time and effort. User compliance is necessary for elevator hygiene standards such as hand sanitization and mask utilization. The proposed method presents a UV-C light-based technology for disinfecting elevator cabins automatically. This could be accomplished in a manner that does not intervene with the ordinary operation of elevator, which is controlled by a microcontroller.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128720593","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: 2

BUS IDENTIFICATION SYSTEM FOR VISUALLY IMPAIRED USING ZIGBEE TECHNOLOGY 使用zigbee技术的视障人士总线识别系统

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767885

J. Manikandan, J. Bharathi, M. Gayathri, G. Lavanya

引用次数: 0