International Journal of Research Studies in Computer Science and Engineering最新文献

{"title":"Health Assistant Bot","authors":"T. Rao, Bharath Kumar Dasa, Dhruva Chaudhary, Monisha Bhattacharya, Sheena Siddiqui","doi":"10.20431/2349-4859.0702001","DOIUrl":"https://doi.org/10.20431/2349-4859.0702001","url":null,"abstract":"This paper presents the design and development of an efficient and intelligent chatbot. The proposed idea is to create a health companion which can be used for a daily well-being. An agile approach was used for its development and deployed on a platform such that all types of users can communicate with it. This virtual assistant makes our life easier and saves time via automated user query replies. Responding to user queries regarding home remedies as well as the recent pandemic COVID-19, the bot is well-equipped and reliable. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.","PeriodicalId":276242,"journal":{"name":"International Journal of Research Studies in Computer Science and Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116186922","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":"Performing Enhancement of Mammogram Images Based on ROI","authors":"G. Jagdev","doi":"10.20431/2349-4859.0601003","DOIUrl":"https://doi.org/10.20431/2349-4859.0601003","url":null,"abstract":"Image processing refers to convergence of an image into digital form and thereafter performing some mathematical operations on it with the motive of enhancing the image and extracting useful information from it. The input may be an image like photograph or video frame and the output is an enhanced image or characteristics associated with that particular image. Image processing finds in application in different sectors and medical science be the prominent one [9, 16]. The image processing comprises of three steps mentioned as under.","PeriodicalId":276242,"journal":{"name":"International Journal of Research Studies in Computer Science and Engineering","volume":"33 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":"126293438","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":"Preventing Road Accidents Using Cloud Computing: A Systematic Review","authors":"Ritesh Kumar, G. Jagdev","doi":"10.20431/2349-4859.0902002","DOIUrl":"https://doi.org/10.20431/2349-4859.0902002","url":null,"abstract":": Road accidents are a major global public health concern, with millions of people killed or injured each year. The use of cloud computing has the potential to revolutionize road safety by enabling the processing and analysis of real-time data to prevent accidents. Cloud computing offers a scalable and cost-effective platform for managing large volumes of data and supporting decision-making in real-time. In this paper, we present a systematic review of the literature on the use of cloud computing in preventing road accidents. We identify the existing approaches, their strengths and weaknesses, and propose a framework for designing a cloud-based road accident prevention system. The literature review reveals that cloud computing has been applied in various ways to prevent road accidents. These approaches include the use of machine learning algorithms to analyze data from various sources, such as cameras and sensors, to detect potential hazards and alert drivers in real-time. Other approaches include the use of predictive analytics to forecast road conditions and identify potential hazards before they occur. Cloud computing has also been used to support collaborative efforts among stakeholders, such as government agencies, private organizations, and the public, to enhance road safety.","PeriodicalId":276242,"journal":{"name":"International Journal of Research Studies in Computer Science and Engineering","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":"127919113","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 Stack Ensemble Model for the Risk of Breast Cancer Recurrence","authors":"Omotayo Joseph Adeyemi, Victor Oluwatimilehin Adebayo, O. Olaniyi, Olayinka Olufunmilayo Olusanya, P. Idowu","doi":"10.20431/2349-4859.0603002","DOIUrl":"https://doi.org/10.20431/2349-4859.0603002","url":null,"abstract":"This study presents a stack-ensemble model for the classification of the recurrence of breast cancer patients’ datasets that were collected from the UCI online Machine Learning Repository. Following the process of identification and collection of the data the data was pre-processed by converting all numeric attributes in the datasets into nominal values using appropriate bin intervals. Three supervised machine learning (ML) algorithms, namely: naïve Bayes (NB), C4.5 decision trees (DT) and support vector machines (SVM) were selected for the development of the stack ensemble models proposed for this study by adopting 2 ML algorithms as the base classifiers while the 3 was adopted as the meta-classifier. The 10-fold cross validation technique was adopted during the simulation of the stack ensemble models using the WEKA simulation environment after which model validation was done based on a number of performance evaluation techniques and compared. It was concluded from the results that there was no difference in performance of the stack-ensemble models which adopted SVM and NB as the meta-classifiers however the stack ensemble model that was created using the NB and SVM as base classifiers and the DT as a meta-classifier had the overall best performance. Therefore, adopting the DT as a meta classifier showed a better capability to classify the recurrence of breast cancer compare to SVM and NB classifiers.","PeriodicalId":276242,"journal":{"name":"International Journal of Research Studies in Computer Science and Engineering","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":"131706819","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 Comparison-Based Soft Clustering Algorithm for Documents","authors":"G. Yadav, V. Verma","doi":"10.20431/2349-4859.0601002","DOIUrl":"https://doi.org/10.20431/2349-4859.0601002","url":null,"abstract":"Some search engines have pre-defined subjects that are used to categorize the output (for instance, yahoo.com). However, few search engines provide a dynamic clustering mechanism – i.e. clustering algorithms that are applied only to the resulting documents of the query. We believe that this is an important service for any search engine over the Web and is highly beneficial to users. Thus, in this paper we explore dynamic clustering for documents.","PeriodicalId":276242,"journal":{"name":"International Journal of Research Studies in Computer Science and Engineering","volume":"10 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":"131727582","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":"The Role of Educational Administrators on E-Learning Programmes Implementation: A Case Study of Goromonzi District Primary Schools","authors":"A. Dube","doi":"10.20431/2349-4859.0801005","DOIUrl":"https://doi.org/10.20431/2349-4859.0801005","url":null,"abstract":"The research study sought to unearth the negative and positive contributions towards the implementation of e-learning by education administrators in primary schools in Goromonzi District of Zimbabwe. E-learning has become the most acceptable mode of pedagogical instruction across the globe but its implementation may be thwarted by the reactions of the school heads and education inspectors due to its (elearning) technical nature. The study adopted pragmatism as a research philosophy informing the pursued mixed method paradigm that combined both qualitative and quantitative approaches in a triangular form. The sample of six primary schools with an average of twenty-five participants each were purposively selected. The researcher used in-depth interviews, questionnaires, document analysis, focus group discussions and observation to collect and generate the requisite data. The study found out that the Zimbabwe e-learning programme suffered poor implementation timing since the Ministry of Primary and Secondary Education adopted the e-learning programme into the schools before all schools were computerised with technological infrastructural devises equipment and subject knowledge by education administrators. The government did not also in-service all its active school administrators talk less of teachers in the mainstream in I.C.T domain resulting in some administrators having no confidence in using technology to carry out an e-lesson observation. Most of the Heads of schools were techno-phobia, hence their confidence to carry out an e-lessons supervision was compromised and their administrative e-service contrived as well. Challenges Militating against Primary School Learners’ Maximum Access to E-Education Programmes in Goromonzi District of Zimbabwe International Journal of Research Studies in Computer Science and Engineering (IJRSCSE) Page 44 than the old aged. Henceforth young teachers are active in implementing it while the old aged education administrators feel uncomfortable to fully engage themselves in e-learning activities. E-learning is also a unifying term used to describe the areas of the Network and the technology directions which makes it too broad and important. E-learning in this regard, as shown by the massive growth of web technology globally, is being significantly the learning technique in terms of schooling, training and development and a lot of corporate functions but the active involvement of school heads and education inspectors dwindles its effectiveness. Many developing economies are utilizing highly immersive e-learning from several education institutions that specifically increase student success but it is the implementation gap between teachers and the old aged schools administration in Goromonzi District that need to be studied. 1.2. Purpose of the Study The purpose of this study was to find out the e-learning programme implementation roles of education administrators in the Goromonzi District of Zimbabwe. The possible sol","PeriodicalId":276242,"journal":{"name":"International Journal of Research Studies in Computer Science and Engineering","volume":"18 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":"133528507","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":"Combinatorial Optimization in Condition Based Maintenance System","authors":"O. OdukweA.","doi":"10.20431/2349-4859.0604003","DOIUrl":"https://doi.org/10.20431/2349-4859.0604003","url":null,"abstract":"International Journal of Research Studies in Computer Science and Engineering (IJRSCSE) Page 16 Combinatorial Optimization in Condition Based Maintenance System Akpan W. A, Odukwe A. O, Anl. O. I Mechanical and Aerospace Engineering Department, University of Uyo, Nigeria. Mechanical Engineering Department University of Nigeria Nsukka, Nigeria. Mechanical / Production Engineering Department, Enugu State University of Science and","PeriodicalId":276242,"journal":{"name":"International Journal of Research Studies in Computer Science and Engineering","volume":"34 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":"115005887","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":"Evaluating Different Scenarios in Wanets to Find Shortest Path Applying ACO","authors":"Dr.Gagandeep Jagdev","doi":"10.20431/2349-4859.0601005","DOIUrl":"https://doi.org/10.20431/2349-4859.0601005","url":null,"abstract":"Each ant in the ant colony has its own job which it should be intended to perform. The task performed by different ants are integrated in such a manner that overall capability of solving complex problems is enhanced. The survival related problems like opting for shortest walking path, finding and storing food are handled by ant colony without any supervision. Ants observe pheromone trails to exchange and broadcast information regarding which path to follow. The tendency of ants is to follow the shortest path in order to make more trips and deliver food to the colony. More the ants follow a particular trail, more are the chances of following ants to follow the same path. This process is termed as positive feedback loop and the probability of an ant choosing a path is proportional to the number of ants which have already passed through that particular path. The research is been carried out to simulate the natural behavior of ants to solve real world problems like TSP (Travelling salesman problem) and data mining.","PeriodicalId":276242,"journal":{"name":"International Journal of Research Studies in Computer Science and Engineering","volume":"67 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":"121018803","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":"Predicting the Time between failures of Software Projects Using Novel Machine Intelligence Algorithms","authors":"Nanwin, Domaka Nuka, Michael Chief James Philip","doi":"10.20431/2349-4859.0702003","DOIUrl":"https://doi.org/10.20431/2349-4859.0702003","url":null,"abstract":": In this paper, machine intelligence technique is used for software effort estimation considering failure patterns and time boundaries in simulation time. Experiments are performed using publicly available software failure dataset and considering two neural machine intelligence techniques, the Hierarchical Temporal Memory (HTM) and the Auditory Machine Intelligence (AMI). The results show that the HTM is a better technique with an error improvement of over 4 times that of the AMI. However, its complexity may hamper its applicability in real time scenarios.","PeriodicalId":276242,"journal":{"name":"International Journal of Research Studies in Computer Science and Engineering","volume":"28 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":"125287909","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 ANN Based Machine Learning Predictive Techniques to Classify the Level of Cancer Diseases using Recurrent Neural Networks","authors":"Prof. Dr. Vladimir Zaichick PhD DSc C.Chem FRSC","doi":"10.20431/2349-4859.0901005","DOIUrl":"https://doi.org/10.20431/2349-4859.0901005","url":null,"abstract":": Cancer is a disease which plays vital role in the field of medical domain. Machine Learning predictive techniques used by the various researcher in order to determine the level of cancer diseases. This paper used to predictive the level of cancer diseases using Recurrent Neural Network by three process. Initially Trained and Testing dataset given as an input and these data are further processed into the proposed research work. Next Process is predictive techniques using Long Short Term Memory with Recurrent Neural Network which consist of three stages such as Forget Gate Layer, Input Gate Layer and Output Gate layer. These Three Layers will predict the past, present and future level of cancer diseases. Next Process about performance evaluation of the proposed research work using confusion matrix which leads to be an effective result in classification of cancer diseases.","PeriodicalId":276242,"journal":{"name":"International Journal of Research Studies in Computer Science and Engineering","volume":"25 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":"121364013","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}