Pub Date : 2023-05-24DOI: 10.11648/j.ijiis.20231202.11
Asianuba Ifeoma Benardine, Ezeofor Chukwunazo Joseph, Musa Martha Ozohu, U. Chidiebere
: Mobile phones are an essential part of our day to day living. The increased reliance on mobile phone devices for communication, information sharing, connectivity and entertainment calls for a greater need to keep this device in a functional condition at all times. The epileptic nature of utility power supply, non-accessibility to power in remote locations and affordability of power due to high tariffs calls for a relative option to maintain connectivity of mobile phones. This research proposes to develop wearable embedded powered energy sources for charging mobile phones as a backup for instant and seamless charging of the phone battery once it drains. Our research addresses the inability of mobile phone users to charge their flatten phone batteries conveniently and seamlessly anytime and anywhere they find themselves. The hybrid powered charging system has the ability to harvest dissipated heat within the body of the phone and heat sources from the environment using an energy harvester, alongside the second energy source provided by the solar panel. The energy harvester will serve as a cooling measure to the device to maintain a stable temperature. The entire embedded device not only serves as an alternative power supply but also a protective covering to the mobile phone.
{"title":"Development of Wearable Embedded Hybrid Powered Energy Sources for Mobile Phone Charging System","authors":"Asianuba Ifeoma Benardine, Ezeofor Chukwunazo Joseph, Musa Martha Ozohu, U. Chidiebere","doi":"10.11648/j.ijiis.20231202.11","DOIUrl":"https://doi.org/10.11648/j.ijiis.20231202.11","url":null,"abstract":": Mobile phones are an essential part of our day to day living. The increased reliance on mobile phone devices for communication, information sharing, connectivity and entertainment calls for a greater need to keep this device in a functional condition at all times. The epileptic nature of utility power supply, non-accessibility to power in remote locations and affordability of power due to high tariffs calls for a relative option to maintain connectivity of mobile phones. This research proposes to develop wearable embedded powered energy sources for charging mobile phones as a backup for instant and seamless charging of the phone battery once it drains. Our research addresses the inability of mobile phone users to charge their flatten phone batteries conveniently and seamlessly anytime and anywhere they find themselves. The hybrid powered charging system has the ability to harvest dissipated heat within the body of the phone and heat sources from the environment using an energy harvester, alongside the second energy source provided by the solar panel. The energy harvester will serve as a cooling measure to the device to maintain a stable temperature. The entire embedded device not only serves as an alternative power supply but also a protective covering to the mobile phone.","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84554498","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}
Pub Date : 2023-03-28DOI: 10.11648/j.ijiis.20231201.12
Adebayo Rotimi Philip
: Many organizations such as World Bank, UN, Wikipedia and others have tried to classify countries as under-developed, developing, developed and highly developed countries based on certain criteria but these criteria aren’t robust enough. In most cases, they used one to three criteria. This research classified 195 countries using 32 attributes (features/ criteria) with the self-organizing map (SOM) algorithm. This is a robust classification because 32 features are considered for the classification. SOM is an unsupervised learning algorithm which reduces high dimensional data to 2 dimensions. The SOM classifies the 195 countries into 5 categories, implying that it is possible to classify countries with SOM algorithm. There is no benchmark to measure the accuracy of the SOM algorithm because most classifications are based on at most three criteria which are not robust enough, but comparing the results of the SOM algorithm with these weak classifications still show the flawlessness of the SOM algorithm. This research will help scientist, students, lecturers, teachers, organizations and countries to have a robust knowledge about the state of their countries from an unbiased position and will also help organizations and countries to make concrete decisions about business establishment in viable places all over the world. The key limitation is the reliability of the data and the number of attributes, which could be increased in future researches for better results.
{"title":"Applying the Self-Organizing Map in the Classification of 195 Countries Using 32 Attributes","authors":"Adebayo Rotimi Philip","doi":"10.11648/j.ijiis.20231201.12","DOIUrl":"https://doi.org/10.11648/j.ijiis.20231201.12","url":null,"abstract":": Many organizations such as World Bank, UN, Wikipedia and others have tried to classify countries as under-developed, developing, developed and highly developed countries based on certain criteria but these criteria aren’t robust enough. In most cases, they used one to three criteria. This research classified 195 countries using 32 attributes (features/ criteria) with the self-organizing map (SOM) algorithm. This is a robust classification because 32 features are considered for the classification. SOM is an unsupervised learning algorithm which reduces high dimensional data to 2 dimensions. The SOM classifies the 195 countries into 5 categories, implying that it is possible to classify countries with SOM algorithm. There is no benchmark to measure the accuracy of the SOM algorithm because most classifications are based on at most three criteria which are not robust enough, but comparing the results of the SOM algorithm with these weak classifications still show the flawlessness of the SOM algorithm. This research will help scientist, students, lecturers, teachers, organizations and countries to have a robust knowledge about the state of their countries from an unbiased position and will also help organizations and countries to make concrete decisions about business establishment in viable places all over the world. The key limitation is the reliability of the data and the number of attributes, which could be increased in future researches for better results.","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75517885","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 chatbot is an intelligent agent that aims at providing a better, easier way to handle activities through smartphones or PCs by simulating the interaction between humans and machines. Chatbots can be deployed on various platforms such as social media applications, web applications, or websites. This project is designed to simulate communication between user and system using natural language processing with python programming and also to provide easy access to information that they would traditionally have to seek through confrontation or handbooks, simply by sending a text message. The motivation behind this work is to have a more direct, automatic way of getting information, to overcome the pitfalls of manual book searching and physical meetings. These existing methods are not very efficient and are usually time-wasting. Analysis of existing methods and related acts enabled the requirements of the specifications to be gathered
{"title":"Artificial Intelligence Chatbot Advisory System","authors":"Chidi Ukamaka Betrand, Oluchukwu Uzoamaka Ekwealor, Chinazo Juliet Onyema","doi":"10.11648/j.ijiis.20231201.11","DOIUrl":"https://doi.org/10.11648/j.ijiis.20231201.11","url":null,"abstract":": A chatbot is an intelligent agent that aims at providing a better, easier way to handle activities through smartphones or PCs by simulating the interaction between humans and machines. Chatbots can be deployed on various platforms such as social media applications, web applications, or websites. This project is designed to simulate communication between user and system using natural language processing with python programming and also to provide easy access to information that they would traditionally have to seek through confrontation or handbooks, simply by sending a text message. The motivation behind this work is to have a more direct, automatic way of getting information, to overcome the pitfalls of manual book searching and physical meetings. These existing methods are not very efficient and are usually time-wasting. Analysis of existing methods and related acts enabled the requirements of the specifications to be gathered","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84750974","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}
Pub Date : 2023-01-01DOI: 10.1504/ijiids.2022.10048691
Qiansheng Fang, Zhuang Peng, P. Yan, Jing Huang
{"title":"A fire detection and localisation method based on keyframes and superpixels for large-space buildings","authors":"Qiansheng Fang, Zhuang Peng, P. Yan, Jing Huang","doi":"10.1504/ijiids.2022.10048691","DOIUrl":"https://doi.org/10.1504/ijiids.2022.10048691","url":null,"abstract":"","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"75 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90056229","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}
Pub Date : 2023-01-01DOI: 10.1504/ijiids.2023.10055118
N. Sateesh, P. Rao, Davuluri Rajya Lakshmi
{"title":"Deep belief bi-directional LSTM network-based intelligent student's performance prediction model with entropy weighted fuzzy rough set mining","authors":"N. Sateesh, P. Rao, Davuluri Rajya Lakshmi","doi":"10.1504/ijiids.2023.10055118","DOIUrl":"https://doi.org/10.1504/ijiids.2023.10055118","url":null,"abstract":"","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"59 1","pages":"107-142"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78676783","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}
Pub Date : 2023-01-01DOI: 10.1504/ijiids.2022.10051510
G. NaveenSundar, K. A. Xavier, D. Narmadha, K. Sagayam, A. A. Jone, M. Pomplun, Hien Dang
{"title":"Intelligent computational techniques of machine learning models for demand analysis and prediction","authors":"G. NaveenSundar, K. A. Xavier, D. Narmadha, K. Sagayam, A. A. Jone, M. Pomplun, Hien Dang","doi":"10.1504/ijiids.2022.10051510","DOIUrl":"https://doi.org/10.1504/ijiids.2022.10051510","url":null,"abstract":"","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"49 1","pages":"39-61"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86644133","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}
Pub Date : 2023-01-01DOI: 10.1504/ijiids.2023.10053426
T. Tran, Dang Tuan Nguyen
{"title":"Natural language generation from Universal Dependencies using data augmentation and pre-trained language models","authors":"T. Tran, Dang Tuan Nguyen","doi":"10.1504/ijiids.2023.10053426","DOIUrl":"https://doi.org/10.1504/ijiids.2023.10053426","url":null,"abstract":"","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"5 1","pages":"89-105"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90436001","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}
Pub Date : 2023-01-01DOI: 10.1504/IJIIDS.2023.131414
Ch. Vidyadhari, N. Sandhya, N. Ramakrishnaiah
{"title":"An incremental clustering using bat-spotted hyena optimiser with spark framework","authors":"Ch. Vidyadhari, N. Sandhya, N. Ramakrishnaiah","doi":"10.1504/IJIIDS.2023.131414","DOIUrl":"https://doi.org/10.1504/IJIIDS.2023.131414","url":null,"abstract":"","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"55 1","pages":"167-195"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84930206","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}
Pub Date : 2023-01-01DOI: 10.1504/ijiids.2023.10059348
Pham Minh Thu Do, Ngoc Tram Anh Nguyen, Dang Huu Trong Ho, Thi Thanh Sang Nguyen
{"title":"A collaboration of an ontology and an autoregressive model to build an efficient chatbot model","authors":"Pham Minh Thu Do, Ngoc Tram Anh Nguyen, Dang Huu Trong Ho, Thi Thanh Sang Nguyen","doi":"10.1504/ijiids.2023.10059348","DOIUrl":"https://doi.org/10.1504/ijiids.2023.10059348","url":null,"abstract":"","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135653472","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}
Pub Date : 2023-01-01DOI: 10.1504/ijiids.2023.10058648
Tran Dinh Khang, Vo Duc Quang
{"title":"An adaptive fuzzy weight algorithm for the class imbalance learning problem","authors":"Tran Dinh Khang, Vo Duc Quang","doi":"10.1504/ijiids.2023.10058648","DOIUrl":"https://doi.org/10.1504/ijiids.2023.10058648","url":null,"abstract":"","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136298652","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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