Digitalization is becoming more and more important. Building smart houses and industries to offer humans longer lives is one of the main goals of the digitization movement. The main aim of this work is to make those verbal exchange modules more powerful with the aid of either improving the antennas to have a higher layout or changing it with new varieties of antennas that are better able to facilitate powerful verbal exchange. This paper proposes an antenna that can be applied to a verbal exchange module to be able to perform inside the Industrial, Scientific, and Medical (ISM) band at 2.4 GHz. After designing and simulating a complete Printed Circuit Board (PCB) antenna, it found that a few designs produced advanced simulation effects in terms of gain, reflection coefficient, voltage standing wave ratio (VSWR), and band width. Always-pointing antennae are protected by the layout of the antenna, allowing it to protect features inside the Global Positioning System (GPS) and ISM (Industrial, Scientific, and Medical) bands for Wi-Fi devices.
{"title":"Smart antenna design for mobile application","authors":"B.M Sachin, Singh Chaudhary Virendra","doi":"10.26634/jmt.9.2.19065","DOIUrl":"https://doi.org/10.26634/jmt.9.2.19065","url":null,"abstract":"Digitalization is becoming more and more important. Building smart houses and industries to offer humans longer lives is one of the main goals of the digitization movement. The main aim of this work is to make those verbal exchange modules more powerful with the aid of either improving the antennas to have a higher layout or changing it with new varieties of antennas that are better able to facilitate powerful verbal exchange. This paper proposes an antenna that can be applied to a verbal exchange module to be able to perform inside the Industrial, Scientific, and Medical (ISM) band at 2.4 GHz. After designing and simulating a complete Printed Circuit Board (PCB) antenna, it found that a few designs produced advanced simulation effects in terms of gain, reflection coefficient, voltage standing wave ratio (VSWR), and band width. Always-pointing antennae are protected by the layout of the antenna, allowing it to protect features inside the Global Positioning System (GPS) and ISM (Industrial, Scientific, and Medical) bands for Wi-Fi devices.","PeriodicalId":443344,"journal":{"name":"i-manager's Journal on Mobile Applications and Technologies","volume":"13 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":"124701941","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}
Gaur Gunjan, Bangad Naman, Jain Siddhi, Rana Manish, Kanchan Pranita
With technology's increasing capabilities, social media has become the largest pool of data from which it can extract public opinion and begin to gather informative data on the success or failure of a brand, product, or marketing campaign in the eyes of the public. People share their experiences, opinions, and daily activities on social media, which results in enormous amounts of online data that attract developers to carry out data mining and analysis. Thus, there is a necessity for social media screening to obtain results that can be used for analysis. Twitter is an online networking site driven by tweets, which are 140-character limited messages. Thus, the character limit enforces the use of hashtags for text classification. Currently, around 5500–6000, tweets are published every second, which results in approximately 561.6 million tweets per day. Performing sentiment analysis of tweets can help us to determine the polarity and inclination of a vast population toward a specific topic, term, or entity. The applications of such analysis can easily be observed during public elections, movie promotions, brand endorsements, and many other fields. This proposed system uses a Naïve Bayes classifier to determine the tweets based on sentiment. In the implemented system, tweets are collected, and sentiment analysis is performed on them. Based on the sentiment analysis results, a few suggestions can be provided to the user. The primary aim is to provide a method for analyzing sentiment scores based on grades. This paper reports on the design of sentiment analysis, extracting vast numbers of tweets. Results classify users' perceptions via tweets into positive and negative categories. Secondly, it discusses various techniques to carry out a sentiment analysis on Twitter data in detail.
{"title":"Gradify: Analysis of twitter account using classification algorithm","authors":"Gaur Gunjan, Bangad Naman, Jain Siddhi, Rana Manish, Kanchan Pranita","doi":"10.26634/jmt.9.2.19147","DOIUrl":"https://doi.org/10.26634/jmt.9.2.19147","url":null,"abstract":"With technology's increasing capabilities, social media has become the largest pool of data from which it can extract public opinion and begin to gather informative data on the success or failure of a brand, product, or marketing campaign in the eyes of the public. People share their experiences, opinions, and daily activities on social media, which results in enormous amounts of online data that attract developers to carry out data mining and analysis. Thus, there is a necessity for social media screening to obtain results that can be used for analysis. Twitter is an online networking site driven by tweets, which are 140-character limited messages. Thus, the character limit enforces the use of hashtags for text classification. Currently, around 5500–6000, tweets are published every second, which results in approximately 561.6 million tweets per day. Performing sentiment analysis of tweets can help us to determine the polarity and inclination of a vast population toward a specific topic, term, or entity. The applications of such analysis can easily be observed during public elections, movie promotions, brand endorsements, and many other fields. This proposed system uses a Naïve Bayes classifier to determine the tweets based on sentiment. In the implemented system, tweets are collected, and sentiment analysis is performed on them. Based on the sentiment analysis results, a few suggestions can be provided to the user. The primary aim is to provide a method for analyzing sentiment scores based on grades. This paper reports on the design of sentiment analysis, extracting vast numbers of tweets. Results classify users' perceptions via tweets into positive and negative categories. Secondly, it discusses various techniques to carry out a sentiment analysis on Twitter data in detail.","PeriodicalId":443344,"journal":{"name":"i-manager's Journal on Mobile Applications and Technologies","volume":"101 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":"116032969","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}
Baba Meshach, Moses Dogonyaro Noel, L. Y. Victor, Majeedah Omobolanle Olatunde
{"title":"EVALUATION OF MOBILE BANKING SERVICES\u0000 USAGE IN MINNA, NIGER STATE","authors":"Baba Meshach, Moses Dogonyaro Noel, L. Y. Victor, Majeedah Omobolanle Olatunde","doi":"10.26634/jmt.6.1.15705","DOIUrl":"https://doi.org/10.26634/jmt.6.1.15705","url":null,"abstract":"","PeriodicalId":443344,"journal":{"name":"i-manager's Journal on Mobile Applications and Technologies","volume":"31 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":"123911558","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}
M. S. Yahaya, Pam Davou Benjamin, Ibitoye Olanrewaju Emmanuel, Moses Dogonyaro Noel
{"title":"COVID-19 ANDROID-BASED TEXT-TO-SPEECH APPLICATION: AN\u0000INCLUSION OF PEOPLE LIVING WITH READING AND SIGHTING\u0000DISABILITIES","authors":"M. S. Yahaya, Pam Davou Benjamin, Ibitoye Olanrewaju Emmanuel, Moses Dogonyaro Noel","doi":"10.26634/jmt.7.2.18340","DOIUrl":"https://doi.org/10.26634/jmt.7.2.18340","url":null,"abstract":"","PeriodicalId":443344,"journal":{"name":"i-manager's Journal on Mobile Applications and Technologies","volume":"20 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":"114684542","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}
B. Sreenidhi, G. Thamotharan, A. Lalitha, C. Thanuprasanth
{"title":"DIABETIC RETINOPATHY BASED ON GUI","authors":"B. Sreenidhi, G. Thamotharan, A. Lalitha, C. Thanuprasanth","doi":"10.26634/jmt.8.1.18159","DOIUrl":"https://doi.org/10.26634/jmt.8.1.18159","url":null,"abstract":"","PeriodicalId":443344,"journal":{"name":"i-manager's Journal on Mobile Applications and Technologies","volume":"60 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":"129478325","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}
A. Andrew, Osho Oluwafemi, I. Idris, M. A. Shafi'i
{"title":"FORENSIC ANALYSIS OF MOBILE BANKING\u0000 APPLICATIONS IN NIGERIA","authors":"A. Andrew, Osho Oluwafemi, I. Idris, M. A. Shafi'i","doi":"10.26634/JMT.6.1.15704","DOIUrl":"https://doi.org/10.26634/JMT.6.1.15704","url":null,"abstract":"","PeriodicalId":443344,"journal":{"name":"i-manager's Journal on Mobile Applications and Technologies","volume":"16 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":"131562229","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}
{"title":"A SIGN TRANSLATION APP TO CONVERT TO ASL TO AUDITORY\u0000ENGLISH LANGUAGE","authors":"Farooqui Ayaan, Hatekar Aayush, Angadi Prateek, Shrikant Khyaati","doi":"10.26634/jmt.8.1.18433","DOIUrl":"https://doi.org/10.26634/jmt.8.1.18433","url":null,"abstract":"","PeriodicalId":443344,"journal":{"name":"i-manager's Journal on Mobile Applications and Technologies","volume":"36 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133509105","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}
{"title":"U-FARM: THE UNIFIED FRAMEWORK FOR AGRICULTURAL\u0000EXTENSION","authors":"R. Latha","doi":"10.26634/jmt.7.2.18370","DOIUrl":"https://doi.org/10.26634/jmt.7.2.18370","url":null,"abstract":"","PeriodicalId":443344,"journal":{"name":"i-manager's Journal on Mobile Applications and Technologies","volume":"38 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":"133259655","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}
{"title":"ENHANCING EFFICACY OF LEARNING DISABILITY CHILDREN\u0000THROUGH MOBILE LEARNING","authors":"Joan D. R. Robert","doi":"10.26634/jmt.8.2.15191","DOIUrl":"https://doi.org/10.26634/jmt.8.2.15191","url":null,"abstract":"","PeriodicalId":443344,"journal":{"name":"i-manager's Journal on Mobile Applications and Technologies","volume":"23 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":"125687682","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}
{"title":"COMPARATIVE STUDY OF AGILE METHODOLOGIES IN MOBILE\u0000 APPLICATION DEVELOPMENT","authors":"S. Akanksha, G. Vijay","doi":"10.26634/jmt.6.2.15485","DOIUrl":"https://doi.org/10.26634/jmt.6.2.15485","url":null,"abstract":"","PeriodicalId":443344,"journal":{"name":"i-manager's Journal on Mobile Applications and Technologies","volume":"1 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":"131311200","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}
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