2021 4th International Conference on Computing and Communications Technologies (ICCCT)最新文献_第2页

An Effective Mechanism for Temple Sculpture Digital Preservation using AR 基于AR技术的寺庙雕塑数字化保存的有效机制

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711845

R. Poorvadevi, Kondapalli chandu Prathap, Gaddagunta yeswanth Sai

引用次数: 0

Photovoltaic Fed Flyback Converters using Improved Perturb and Observe Algorithm 基于改进摄动与观测算法的光伏馈反激变换器

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711760

M. S, K. Rajkumar, K. Suresh, J. Harinarayanan

引用次数: 3

Installation of Automated Sericulture Functional Unit in Rural Area 自动化蚕桑功能单元在农村的安装

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711911

K. Joshitha, Katta Venkata Rithwik

引用次数: 1

Smartphone based portable ECG monitoring system 基于智能手机的便携式心电监护系统

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711891

E. Priya, R. Chitra

{"title":"Smartphone based portable ECG monitoring system","authors":"E. Priya, R. Chitra","doi":"10.1109/ICCCT53315.2021.9711891","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711891","url":null,"abstract":"As a result of rapid increase in ageing population, the need of new medical devices for better health care have arisen. Some devise focus on prevention, while others give importance for treating. Electrocardiograph (ECG) monitoring system plays a prime importance for diagnosing cardiac abnormalities. Developing countries such as India cannot afford the capital expenditure of the equipment and handling of the equipment as well is too complex. This work is based on detection of the heart's electrical activity with a heart rate monitoring sensor attached to an Arduino microcontroller. The system developed has the possibility of displaying ECG through mobile/desktop application using Bluetooth module. The system thus developed is a low budget ECG monitoring system, which could acquire ECG in real-time, reasonably priced, handy, battery powered and friendly to user. In the proposed system, software for desktop computers and an android application to visualize the ECG signal in mobile phones are developed. The system includes three electrodes, to acquire ECG signal from either of the limb leads (Lead I, II and II), or from augmented leads of the limb. These leads measure the bio-potential voltages produced at contact points and is transmitted to the heart rate monitoring sensor connected with Arduino to process it. This could further be sent to desktop/mobile device for plotting of ECG signal. Thus the developed low cost, portable ECG system aid as a healthcare monitoring system for observing the elderly people remotely","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"12 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":"131284737","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

Inline Electrolytic Disinfected Water Supply System Using Programmable Logic Controller 采用可编程控制器的在线电解消毒供水系统

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711905

B. Puviyarasi, K. Srividya, S. Madhuprabha, S. Thomas, E. Renuka Devi, K. Sindhusha

引用次数: 0

Personality Prediction Through CV Analysis using Machine Learning Algorithms for Automated E-Recruitment Process 基于机器学习算法的自动化电子招聘过程中CV分析的个性预测

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711787

G. Sudha, Sasipriya K K, S. S, Nivethitha D, Saranya S, K. G.

{"title":"Personality Prediction Through CV Analysis using Machine Learning Algorithms for Automated E-Recruitment Process","authors":"G. Sudha, Sasipriya K K, S. S, Nivethitha D, Saranya S, K. G.","doi":"10.1109/ICCCT53315.2021.9711787","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711787","url":null,"abstract":"Personality of a person plays a crucial role in the organizational progress and also in the self-development process in an individual's life. One of the typical ways to predict the person's personality is either by a standard review or by scrutinizing the Curriculum Vitae of the candidate. The Conventional method of recruiting the candidates involves manual short listing of job seekers resumes according to the requirement of the company. In this work, a system that automates the task of segregating candidates based on eligibility criteria and personality evaluation in a recruitment process is proposed. To meet this requirement an online application is developed for the registration of candidate's details and analysis of candidate's personalities through an online Multiple-Choice Question (MCQ) test containing personality quizzes. Then the system analyzes professional eligibility by comparing the uploaded Curriculum Vitae trained datasets. This system employs a machine learning algorithm namely “Logistic Regression” which helps to choose fair decisions to recruit a suitable candidate. Thus, the final results of the personality quizzes will be sent to both candidates and the admin.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"7 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":"133436437","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: 5

Collaborative Web Search Using Group Conceptual Index 使用组概念索引的协同网络搜索

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711771

K.R. Saradha, S. Prathibha, M.R. Sivakumar, N.B.S.Ashok Sandeep

{"title":"Collaborative Web Search Using Group Conceptual Index","authors":"K.R. Saradha, S. Prathibha, M.R. Sivakumar, N.B.S.Ashok Sandeep","doi":"10.1109/ICCCT53315.2021.9711771","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711771","url":null,"abstract":"Collaboration is defined as two or more people or entities work together in a joint activity. The Collaborative Web search approach enhances search activities which provides valuable search knowledge and sharing knowledge among the group. The main objective of the system is to provide search results based on the user's conceptual preferences and the group oriented. The system supports more number of users can interact simultaneously in the web search environment. It includes collaborative user interface (UI), data retrieval from meta data, tracking every users' behavior such as query term, visited url, title of the page, index words, time spent on it, feedback of the page and comments about the page. These behaviors termed as a user profile. Then the user profile merge with the concept relevant group profile by using domain ontology. The users' concept and ID updated in the Group Conceptual Index table. Group Conceptual Index is a search aiding index and it can be designed as ideational association between search query and the appropriate pages visited by the search community. Using Group Conceptual Index identify the user interested page and recommend it to the user. And rerank the recommended pages with the traditional search engine results. The reranked result shows the interest of the user community.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"1 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":"130604638","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

Plant Disease Identification on Real-World Data using Deep Learning: A Comparative Study 利用深度学习对真实世界数据进行植物病害识别的比较研究

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711781

Abhimanyu Sethi, S. V, Jennifer Raniani J

{"title":"Plant Disease Identification on Real-World Data using Deep Learning: A Comparative Study","authors":"Abhimanyu Sethi, S. V, Jennifer Raniani J","doi":"10.1109/ICCCT53315.2021.9711781","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711781","url":null,"abstract":"Correct and timely identification of disease in plants, especially for a country like India, where agriculture continues to serve as a cornerstone of its economy, is an indispensable tool demanding our solicitousness. Recently, researchers have started to employ autonomous real-time systems involving deep learning techniques for this purpose. However, the wide va-riety of heterogeneous diseases affecting crop yield continues to prove itself a mammoth task for farmers and stymies the researchers. The majority of the current state-of-the-art models utilize datasets like Plant Village, consisting of leaf images taken in a controlled lab environment, which do not serve as accurate representative data of the real-world scenario. Moreover, the effectiveness of state-of-the-art models like EfficientNetLite, which provided notable improvements in accuracy for similar deep learning applications, remains untested on plant disease datasets. Hence, an exhaustive study on the performance of various state-of-the-art models with varied training conditions on real-time datasets like PlantDoc is imperative to further this area of research. In this paper, we have explored state-of-the-art CNNs like InceptionResNet, EfficientNetLite_0, and VGG-19, under various parameter settings, image augmentations techniques, and loss functions on the real-time PlantDoc dataset. We have evaluated and presented a comparative analysis of the exhaustive combinations and performances gauged by accuracy, top-5 accuracy, F1 scores, and other inferences drawn from training and testing all these networks on 27 different classes of crop diseases. We infer that EfficientNetLite proved to be a most effective architecture, especially given its relatively smaller size. EfficientNetLite coupled with the focal loss function and Albumentaions augmentation library yielded the best results with an accuracy of 70.71%, mean F1-score as 0.7, and 95.57% top-5 accuracy, on a test set congruent with real-world relevance.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"120 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":"116366730","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

Work-in-Progress: Smart Automatic Regeneration of Electricity using Thermoelectric Generator Technology 正在进行的工作:使用热电发电机技术的智能自动再生电力

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711775

Abirami Anandasabesan, Soundarya Mahamani, Haritha Sree Soundararajan, S. Natarajan, Sumathi Sokkanaravanan, Mithileysh Sathiyanarayanan

{"title":"Work-in-Progress: Smart Automatic Regeneration of Electricity using Thermoelectric Generator Technology","authors":"Abirami Anandasabesan, Soundarya Mahamani, Haritha Sree Soundararajan, S. Natarajan, Sumathi Sokkanaravanan, Mithileysh Sathiyanarayanan","doi":"10.1109/ICCCT53315.2021.9711775","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711775","url":null,"abstract":"India is the third largest country in electricity production. According to SDG's goal, whole world would achieve complete green energy like solar energy, Electric vehicles (EV) and other sustainable solutions by 2030. This is the period of transformation towards green energy, green technologies and green solutions. However, one of the main disadvantages of implementing green solutions is the loss of electricity or energy in the form of heat. For example, the cars we use comes under gasoline type or combinational type with solar. The wastage of heat is nearly 65% and above in average, which is a major disadvantage, in electric and electronic devices the wastage amount is by 45-60%. This paper would give a new start for an upcoming ideology called reuse-recollection of expelled heat from the incinerator which is used in the waste to energy conversion (WTE) system. In this paper, we explain how dissipated heat is converted into electricity using thermoelectric generator (TEG) technology. Considering Electric Vehicles as an example, the result will improve capacity and life span of vehicles. In other use cases, these kinds of conversions will become the reliable source of supply and it can be applied for any electric component, system or devices. On the basis of seebeck and peltier-effect, the conversion of heat to electricity takes place directly. By using this law and effect the designed thermo electric material passes down the absorbed heat into electricity by, which wastage of current is minimized. Finally, the thermo electricity generation would become a renewable source of energy and the production of electricity can be increased by co-generation methodology. By this the wastage of heat will be minimized to ~50%. As the TEG's enter into automation the production of micro-TEG's, organic TEG's, body powered wireless device, pulse oximeter radiator can be developed.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"258 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":"116420375","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

Reward Based Smart Bin with Waste Segregation for Encouraging People in Waste Management System 基于奖励的垃圾分类智能垃圾箱，鼓励人们参与垃圾管理系统

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711796

Eyuwankg S Swankg, M. Kaviyarasan, M. Nithya

引用次数: 1