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Journal of Cognitive Human-Computer Interaction最新文献

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Online Vehicle Rental System 网上车辆租赁系统
Journal of Cognitive Human-Computer Interaction Pub Date : 2023-04-22 DOI: 10.54216/jchci.020105
A. Admin, B. B.Buvaneswari, S. S.Ahilesharan, Tanushka Singh, J. Harish
{"title":"Online Vehicle Rental System","authors":"A. Admin, B. B.Buvaneswari, S. S.Ahilesharan, Tanushka Singh, J. Harish","doi":"10.54216/jchci.020105","DOIUrl":"https://doi.org/10.54216/jchci.020105","url":null,"abstract":"Transportation is the major need of the worker and minor need for large number of people, government, and many organizations. Without transporting goods and cargo etc. There are many rental systems available in offline but the main disadvantage in it is the customers have to visit the company to pick up a vehicle. In order to save time and effort we introduce web based online vehicle rental system. The method that exists since now is offline vehicle rental system which is a major negative for most of the customers. There are only few companies are available offline not everyone knows about the company’s existing. To avoid the disadvantage in this offline vehicle rental system, many use a method of advertising and posting flyers for their companies to acknowledge their customers about vehicle rental system. The major advantage in our web based online vehicle rental system is that the customer can book their vehicle from anywhere and anytime to their need. Their rented vehicle will be delivered to their booked location. One can see available vehicle using their mobile phones from anywhere through internet connection.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121832437","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
Automated System for Management of Exam Cell 考试单元管理自动化系统
Journal of Cognitive Human-Computer Interaction Pub Date : 1900-01-01 DOI: 10.54216/jchci.040104
Ajith. .., Mercy Beullah
{"title":"Automated System for Management of Exam Cell","authors":"Ajith. .., Mercy Beullah","doi":"10.54216/jchci.040104","DOIUrl":"https://doi.org/10.54216/jchci.040104","url":null,"abstract":"These days, exam cell migration typically includes some manual computations and is primarily dependent on pen and paper. The main objective of this extension is to bring it in a centralised manner. By doing so, it will be possible to successfully supervise the actions taking place throughout an examination. By entering their enrollment number, title, phone number, email address, semester, etc., the framework enables college or school students to register themselves with the system. Typically accomplished by having students create their own unique points of interest for the exam cell to use as their login ID and password.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116796257","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
Apparel Recommendation Engine Using Inverse Document Frequency and Weighted Average Word2vec 基于逆文档频率和加权平均Word2vec的服装推荐引擎
Journal of Cognitive Human-Computer Interaction Pub Date : 1900-01-01 DOI: 10.54216/jchci.010201
Parvesh K, Tharun C, P. M.
{"title":"Apparel Recommendation Engine Using Inverse Document Frequency and Weighted Average Word2vec","authors":"Parvesh K, Tharun C, P. M.","doi":"10.54216/jchci.010201","DOIUrl":"https://doi.org/10.54216/jchci.010201","url":null,"abstract":"The rapid development of e-commerce shopping marketplaces necessitates the use of recommendation engines and quick, precise, and efficient algorithms in order for the company's business models to generate a massive amount of profit. A computer vision software programme enables a computer to learn a great deal from digital images or movies. Machine learning methods are used in computer vision, and several machine learning techniques have been developed specifically for this purpose. Information retrieval is the process of extracting useful information from a dataset, and computer vision is the most commonly used tool for this purpose nowadays. This project consists of a series of modules that run sequentially to retrieve information from a marked area on a receipt. A receipt image is used as an input for the model, and the model first uses various image processing algorithms to clean the data, after which the pre-processed data is applied to machine learning algorithms to produce better results, and the result is a string of numerical digits including the decimal point. The program's accuracy is primarily determined by the image quality or pixel density, and it is necessary to ensure that an input receipt is not damaged and content is not blurred.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117116404","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
Effectiveness and Impact of Online Education on School Students - A Study With Reference to Chennai City 网络教育对在校学生的有效性及影响——以金奈市为例的研究
Journal of Cognitive Human-Computer Interaction Pub Date : 1900-01-01 DOI: 10.54216/jchci.030102
Hariharan E.K E.K.S, B. M, MageshwaranS MageshwaranS
{"title":"Effectiveness and Impact of Online Education on School Students - A Study With Reference to Chennai City","authors":"Hariharan E.K E.K.S, B. M, MageshwaranS MageshwaranS","doi":"10.54216/jchci.030102","DOIUrl":"https://doi.org/10.54216/jchci.030102","url":null,"abstract":"This study examines how beneficial online learning and tests are for students. During the COVID-19 epidemic, every educational institution has switched to an online style of learning and examination. This study is about the student’s experiences with online classes. This paper also examines how students respond to online classrooms and how they enhance their skills by studying online. A survey was conducted by distributing an online questionnaire to schools students studying in various parts of Chennai city. Data gathered from the survey were analysed with SPSS software. Statistical tools such as paired sample test, ANOVA, Chi-Square test were used to test various hypotheses. The outcomes of the study revealed how students were motivated and the difficulties faced during online classes. An attempt was made to learn about the student’s attitudes towards online classes before and during the COVID-19 outbreak.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124927192","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
Measuring the Coverage of Assembly elections and Covid 19 during the pandemic in India 衡量印度大流行期间议会选举和Covid - 19的报道
Journal of Cognitive Human-Computer Interaction Pub Date : 1900-01-01 DOI: 10.54216/jchci.060102
M. Srinivasan, Jishnu .., Gondi Surender Dhanunjay, Shamala Ramappa
{"title":"Measuring the Coverage of Assembly elections and Covid 19 during the pandemic in India","authors":"M. Srinivasan, Jishnu .., Gondi Surender Dhanunjay, Shamala Ramappa","doi":"10.54216/jchci.060102","DOIUrl":"https://doi.org/10.54216/jchci.060102","url":null,"abstract":"India is still facing the aftermath of the second wave of covid 19. However, in between the first wave and second wave India witnessed long and tortuous assembly elections in four states of Southern India. This paper explores the coverage of covid 19 and assembly elections in the states of Kerala and Tamil Nadu in two of the most circulated newspapers Malayala Manorama and Mathrubhumi from Kerala and Dinamalar and Dinathanthi from Tamil Nadu. E-papers from February 26, 2021- April 6, 2021, are collected for analysis. 7466 news articles are analyzed to find out the coverage of Covid 19 and assembly elections. The study questions the social responsibility of media platforms that set the media agenda in favor of assembly elections and hence averting the covid 19 news.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126642103","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
Online Resume Builder 在线简历制作器
Journal of Cognitive Human-Computer Interaction Pub Date : 1900-01-01 DOI: 10.54216/jchci.030103
M. M.Sumithra, B. B.Buvaneswari, T. T.Janeswaran, O. O.monishlal, M. S. Hariharan, M. Arjun
{"title":"Online Resume Builder","authors":"M. M.Sumithra, B. B.Buvaneswari, T. T.Janeswaran, O. O.monishlal, M. S. Hariharan, M. Arjun","doi":"10.54216/jchci.030103","DOIUrl":"https://doi.org/10.54216/jchci.030103","url":null,"abstract":"A resume is a formal document used by individuals to provide an overview of their professional qualifications, including their relevant work experience, education, skills and other accomplishments. A well-designed resume is an essential document which enables an individual to showcase their skill sets qualifications during the recruitment or hiring process. Therefore, it is a widely used item that a jobseekeroftenusesinseekingemploymentinjobs.Usually,individualsgetconfusedwhilecreatingresume.Theydon'thaveclearideaofwhatkind of details should be included in a resume. In resume builder, individuals just have to fill their details in the respective fields which will automatically generate a well-structured resume for them. This project not only focus on resume creation but also enables easy input giving for the user by Smart auto-suggestion feature. And also, users can review their resume with real-time preview features. For people with no idea on how to prepare a Resume, we provide a best class Resume Builder for free and without any interruption like authentication, credentials, ads, etc. Users may create any kind of Resume (For example: Fresher, Professor, Veterans, etc.) with professional & elegant look using the resume builder. Hence, an Online Resume Builder supports an individual to generate an elegant resume in an easy manner.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"271 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123291634","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
Lip Print Scanner 唇印扫描仪
Journal of Cognitive Human-Computer Interaction Pub Date : 1900-01-01 DOI: 10.54216/jchci.050105
Jayakaran. .., Jeffery matthew. S., Litheeswaran. S., Mohamed Arshad, Mahajan. .., R. Priya
{"title":"Lip Print Scanner","authors":"Jayakaran. .., Jeffery matthew. S., Litheeswaran. S., Mohamed Arshad, Mahajan. .., R. Priya","doi":"10.54216/jchci.050105","DOIUrl":"https://doi.org/10.54216/jchci.050105","url":null,"abstract":"This paper presents advancement in lip print perception and a advancement of biometric system by scanning the lips and getting the lip prints of the individual for security purposes to safeguard confidential data and information. The method used here to identify the lip prints is Cheiloscopy and which scans the lips with the help of camera with a micro lens to get lip prints. This security system was developed using machine learning in python and IoT system. This security system is an alternative for fingerprint and footprint. The security system here differentiates lips based on lip pigment, texture, and prints presented on the lips and check the database for a match. The security systems are fully developed with IoT systems and machine learning in python. The R-CNN in machine learning is used for lip analysis and supervised learning in machine learning is used to find a perfect match.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126063196","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
Speech Recognition Using Artificial Neural Network 基于人工神经网络的语音识别
Journal of Cognitive Human-Computer Interaction Pub Date : 1900-01-01 DOI: 10.54216/jchci.050201
C. Vivek, M. Indu, N. Nandhini
{"title":"Speech Recognition Using Artificial Neural Network","authors":"C. Vivek, M. Indu, N. Nandhini","doi":"10.54216/jchci.050201","DOIUrl":"https://doi.org/10.54216/jchci.050201","url":null,"abstract":"Speech is a verbal communication used by humans through language. Likewise speech recognition is a process of converting speech to text. This paper provides a study of use of artificial neural networks(ANN) in speech recognition. Hidden Markov models (HMM) is a traditional statistical techniques for performing speech recognition. In speech detection software, Mel frequency cepstral coefficients (MFCCs) are frequently used. With different approaches evolving, we deal with the features used to recognize the speech pattern and implementation of speech recognition in the efficient types of artificial neural network (ANN).","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115292954","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
Earthquake Location Forecasting In Map Using XGBOOST Algorithm 利用XGBOOST算法在地图上进行地震位置预报
Journal of Cognitive Human-Computer Interaction Pub Date : 1900-01-01 DOI: 10.54216/jchci.050104
R. Jeena, Kruthika. .., P. A., Tanya. A.
{"title":"Earthquake Location Forecasting In Map Using XGBOOST Algorithm","authors":"R. Jeena, Kruthika. .., P. A., Tanya. A.","doi":"10.54216/jchci.050104","DOIUrl":"https://doi.org/10.54216/jchci.050104","url":null,"abstract":"Earthquake is one of the most threatening natural disasters which is caused due to the shaking of the earth’s surface. Common cause of earthquake is due to ground shaking, underground volcanic eruption. Here, XGBoost Algorithm is used to predict the location of the earthquake. In this paper, a earthquake location prediction method is proposed, which is based on the composition of a known system whose behaviour is administered according to the evaluation of more than two decades of seismic events and is designed as a time series using Machine learning. By analyzing the parameters such as Latitude, Magnitude, Depth, Longitude, Depth error, Gap, Time etc.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134303391","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
Hate Speech Detection on Social Media Using Machine Learning Algorithms 使用机器学习算法检测社交媒体上的仇恨言论
Journal of Cognitive Human-Computer Interaction Pub Date : 1900-01-01 DOI: 10.54216/jchci.020203
A. Admin, Ritik Gad, Pranav Gawali, Mangesh Gite, Dr. A. B. Pawa
{"title":"Hate Speech Detection on Social Media Using Machine Learning Algorithms","authors":"A. Admin, Ritik Gad, Pranav Gawali, Mangesh Gite, Dr. A. B. Pawa","doi":"10.54216/jchci.020203","DOIUrl":"https://doi.org/10.54216/jchci.020203","url":null,"abstract":"There is an enormous growth of social media which fully promotes freedom of expression through its anonymity feature. Freedom of expression is a human right but hate speech towards a person or group based on race, caste, religion, ethnic or national origin, sex, disability, gender identity, etc. is an abuse of this sovereignty. It seriously promotes violence or hate crimes and creates an imbalance in society by damaging peace, credibility, and human rights, etc. To overcome this problem, the hate speech detection model is made which will classify the speech and if the speech used by user is containing hate word, it will be detected and system will sent an alert message to user about it. In order to solve various hate speech problems we use some of the machine learning algorithms such as logistic regression and random forest. If user disrupts cyber guidelines, then strict action shall be taken and user’s account will be ban forever. This help to reduce cyber crimes in effective and efficient manner.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115347493","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
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