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Determination of Melting Point of Chemical Substances Using Image Differencing Method 用图像差分法测定化学物质熔点
Int. J. Softw. Innov. Pub Date : 2022-01-01 DOI: 10.4018/ijsi.297985
Anurag Shrivastava, R. Sushil
{"title":"Determination of Melting Point of Chemical Substances Using Image Differencing Method","authors":"Anurag Shrivastava, R. Sushil","doi":"10.4018/ijsi.297985","DOIUrl":"https://doi.org/10.4018/ijsi.297985","url":null,"abstract":"Melting point apparatus mainly used in pharmaceutical and chemical industries for determining melting point of chemical substances. Some melting point apparatus are based on manual process in which users have to keep continuously focus on capillary tube till melting point achieved. While some melting point apparatus are digitally or automatically operated and there is no need of operator’s attention. In this paper novel algorithm is proposed for melting point detection of any chemical substance. proposed algorithm is based on change detection technique, it computes pixel value differencing at particular coordinate of two consecutive frames generated by real time video. Difference is compared with threshold value, when pixel value difference crosses the threshold the temperature at that instant recorded as melting point of chemical substance, Proposed algorithm determined melting point of Sodium bicarbonate, D-glucose, Sodium Nitrate, Potassium nitrate and magnesium nitrate with maximum accuracy 98.8% for Potassium nitrate.","PeriodicalId":396598,"journal":{"name":"Int. J. Softw. Innov.","volume":"2638 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123109217","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
An Intelligent System for the Diagnosis of Voice Pathology Based on Adversarial Pathological Response (APR) Net Deep Learning Model: An Intelligent System for the Diagnosis of Voice Pathology-Based Deep Learning 基于对抗病理反应(APR)网络深度学习模型的语音病理诊断智能系统:基于深度学习的语音病理诊断智能系统
Int. J. Softw. Innov. Pub Date : 2022-01-01 DOI: 10.4018/ijsi.312261
Vikas Mittal, R. Sharma
{"title":"An Intelligent System for the Diagnosis of Voice Pathology Based on Adversarial Pathological Response (APR) Net Deep Learning Model: An Intelligent System for the Diagnosis of Voice Pathology-Based Deep Learning","authors":"Vikas Mittal, R. Sharma","doi":"10.4018/ijsi.312261","DOIUrl":"https://doi.org/10.4018/ijsi.312261","url":null,"abstract":"The work investigates the use of two types of glottal flow derivative-based image variants of the input signal with an n-dilated (nD)-inception-layers-based deep learning model for providing optimal labels. The authors have proposed an n-dilated (nD) inception layer-based adversarial pathological response (APR) net deep learning model. This model is trained using the two image databases separately in an adversarial manner so that when a test image is common to test image is applied to both the networks. The results show a mean accuracy of 96.82%, 96.36%, and 99.35% for the Glottal inverse filtering with extended Kalman Filter-Morse scalogram (GIFEKF-MS) APRNet, Glottal inverse filtering with extended Kalman Filter-spectrogram (GIFEKF-S) APRNet, and proposed APR fusion net respectively using the VOice ICar fEDerico II (VOICED) dataset; and mean accuracies 95.67%, 93.27%, and 99.04% for the GIFEKF-MS APRNet, GIFEKF-S APRNet, and proposed APR fusion net respectively using the Saarbrucken voice database (SVD)dataset.","PeriodicalId":396598,"journal":{"name":"Int. J. Softw. Innov.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125297344","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
A SWOT Analysis of Software Requirement Validation Techniques 软件需求验证技术的SWOT分析
Int. J. Softw. Innov. Pub Date : 2022-01-01 DOI: 10.4018/ijsi.297132
B. Akinnuwesi, S. Fashoto, Elliot Mbunge, Petros Mashwama, P. Owate
{"title":"A SWOT Analysis of Software Requirement Validation Techniques","authors":"B. Akinnuwesi, S. Fashoto, Elliot Mbunge, Petros Mashwama, P. Owate","doi":"10.4018/ijsi.297132","DOIUrl":"https://doi.org/10.4018/ijsi.297132","url":null,"abstract":"Existing software requirement validation (SRV) techniques are theoretical concepts with no real-life application. No report on what could be considered as the best of the SRV techniques. Our study focus on systematic literature review of existing SRV techniques, emphasizing on their strengths, weaknesses, opportunities and threats (SWOT) as well as the involvement of end-users in SRV process. We opined to identify SRV technique(s) that could be considered best and user-centric. Four hundred and twenty-four articles were identified initially but after applying the exclusion criteria, 59 articles were identified for review. We defined one generic research question (GRQ) and five specific research questions (SRQi, i = 1,2,3,4,5) to guide our review and provide the required details for SWOT analysis of SRV techniques. A software is yet to be developed for users’ requirements validation both on a small and larg scale and none of the SRV techniques incorporate user story framework.","PeriodicalId":396598,"journal":{"name":"Int. J. Softw. Innov.","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121006945","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
A Study on Major Service Items of Consumers and Companies Using Convergence Technology in the Intelligent Age 智能时代消费者与企业主要服务项目融合技术研究
Int. J. Softw. Innov. Pub Date : 2022-01-01 DOI: 10.4018/ijsi.301220
C. Baek
{"title":"A Study on Major Service Items of Consumers and Companies Using Convergence Technology in the Intelligent Age","authors":"C. Baek","doi":"10.4018/ijsi.301220","DOIUrl":"https://doi.org/10.4018/ijsi.301220","url":null,"abstract":"The purpose of this study is to investigate and analyze quality evaluation in the age of artificial intelligence services, and to present a plan. Preliminary quality evaluation items were derived through research on opinions of experts by researching various documents related to artificial intelligence and analyzing cases. Then, related experts were selected and research was conducted using the Delphi technique. Through this, service quality evaluation items suitable and appropriate for the age of artificial intelligence were derived and proposed.Using AI service quality evaluation items, consumers and companies can pursue very beneficial convenience and benefits. This can increase customer satisfaction and increase corporate sales or profits","PeriodicalId":396598,"journal":{"name":"Int. J. Softw. Innov.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121324161","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
Impact of ICT-Based Tools on Team Effectiveness of Virtual Software Teams Working From Home Due to the COVID-19 Lockdown: An Empirical Study 基于ict的工具对COVID-19封锁下在家工作的虚拟软件团队团队效率的影响:一项实证研究
Int. J. Softw. Innov. Pub Date : 2022-01-01 DOI: 10.4018/ijsi.309958
Uday Kanike, Yusen Xia
{"title":"Impact of ICT-Based Tools on Team Effectiveness of Virtual Software Teams Working From Home Due to the COVID-19 Lockdown: An Empirical Study","authors":"Uday Kanike, Yusen Xia","doi":"10.4018/ijsi.309958","DOIUrl":"https://doi.org/10.4018/ijsi.309958","url":null,"abstract":"The research examines the usage of ICT tools by software engineering teams, especially the virtual teams during COVID-19 and how it impacts the effectiveness of the team. This research has adapted the framework proposed by Salas et al. and Hackman et al. to measure team effectiveness. Team effectiveness was measured using 10 constructs. The research instrument proposed by Nagy and Habok has been adapted to measure the usage of ICT tools. The moderating role of gender and age has also been examined in this study. The sample size is 136 software professionals. Quantitative approach has been adapted. The study is descriptive in nature, and cluster sampling is adapted. The data is gathered through a closed-ended questionnaire, and analysis is done through SPSS software. The results reveal that usage of ICT tools enhances the team effectiveness in virtual software teams.","PeriodicalId":396598,"journal":{"name":"Int. J. Softw. Innov.","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116684654","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
Evaluation and Ranking of E-Government Websites Using Weighted-Combinative Distance-Based Assessment Approach 基于加权组合距离评价方法的电子政务网站评价与排名
Int. J. Softw. Innov. Pub Date : 2022-01-01 DOI: 10.4018/ijsi.309729
Aakash Gupta, Mohit Bansal
{"title":"Evaluation and Ranking of E-Government Websites Using Weighted-Combinative Distance-Based Assessment Approach","authors":"Aakash Gupta, Mohit Bansal","doi":"10.4018/ijsi.309729","DOIUrl":"https://doi.org/10.4018/ijsi.309729","url":null,"abstract":"Electronic government (e-government) now becomes a necessity rather than an option for the countries that aim for improved governance. Indeed, existing agencies of government make a powerful connection with customers through e-government to deliver better, cheaper, and faster services. In the present research, a multi-criteria decision-making (MCDM) approach, namely weighted-combinative distance-based assessment (W-CODAS), is proposed which is a combination of Shannon entropy approach and CODAS and implemented to rank the e-government websites of eight countries by selecting 15 evaluation criteria. Further, the results obtained from W-CODAS method are compared with well-known methods AHP and TOPSIS and validated by Kendall's tau correlation test. The results of the present research based on W-CODAS show that the e-government website of Finland is placed at the top position (Rank 1) followed by UK. Similarly, the Netherlands website occupies last position and is ranked at number eight.","PeriodicalId":396598,"journal":{"name":"Int. J. Softw. Innov.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117199220","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
Development of a Decision-Making Model to Provide Expert Assessment of the State of the Environment 提供环境状况专家评估的决策模型的发展
Int. J. Softw. Innov. Pub Date : 2022-01-01 DOI: 10.4018/ijsi.297992
Murtadha Rasol, Y. Rogozov, S. Kucherov
{"title":"Development of a Decision-Making Model to Provide Expert Assessment of the State of the Environment","authors":"Murtadha Rasol, Y. Rogozov, S. Kucherov","doi":"10.4018/ijsi.297992","DOIUrl":"https://doi.org/10.4018/ijsi.297992","url":null,"abstract":"This paper provides a brief analysis of analytical models and models of fuzzy logical inference, which are used for solving various problems associated with the ecological state of environmental objects. The classification of models is given. The results of the analysis of the works showed that stochastic models are often used, in particular, regression models and models of fuzzy logical inference when verbally setting the parameters of objects. Analytical models of environmental objects are non-stationary, non-linear and are characterized by after effect, therefore, these models have significant limitations in application. The analysis of the using of models of fuzzy logical inference for solving environmental problems. The results of the analysis showed that for many tasks in different areas of human activity, decisions are being made regarding the ecological state of the environment. It is concluded that the development of decision-making models regarding the ecological state of environmental objects is a relevant aim.","PeriodicalId":396598,"journal":{"name":"Int. J. Softw. Innov.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126088064","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
A Machine Learning-Based Framework for Diagnosis of Breast Cancer 基于机器学习的乳腺癌诊断框架
Int. J. Softw. Innov. Pub Date : 2022-01-01 DOI: 10.4018/ijsi.301221
Ravi Kumar Sachdeva, Priyanka Bathla
{"title":"A Machine Learning-Based Framework for Diagnosis of Breast Cancer","authors":"Ravi Kumar Sachdeva, Priyanka Bathla","doi":"10.4018/ijsi.301221","DOIUrl":"https://doi.org/10.4018/ijsi.301221","url":null,"abstract":"Machine learning is used in the health care sector due to its ability to make predictions. Nowadays major cause of death in women is due to breast cancer. In this paper, a machine learning-based framework for the diagnosis of breast cancer has been proposed. The authors have used different feature selection methods on Breast Cancer Wisconsin (Diagnostic) dataset i.e. Chi-square, Pearson correlation between features and Feature importance. The competency of the feature selection methods has been analyzed using different machine learning classifiers on different performance parameters like accuracy, sensitivity, specificity, precision, and F-measure. Random Forest (RF), Extra Tree Classifier (ETC), and Logistic Regression (LR) machine learning classifiers have been used by the authors. Results reveal that FI (Feature Importance) is the preeminent feature selection method among all others used when applied with different classifiers. Results also show that the ETC machine learning classifier gives the best accuracy result in comparison with RF and LR classifiers.","PeriodicalId":396598,"journal":{"name":"Int. J. Softw. Innov.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132589087","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: 9
Generation of Unusual Plasma Discharge Video by Generative Adversarial Network 生成对抗网络生成异常等离子体放电视频
Int. J. Softw. Innov. Pub Date : 2022-01-01 DOI: 10.4018/ijsi.309732
Tran Vo Khanh Ngan, T. Hochin, Hiroki Nomiya, H. Nakanishi, M. Shoji
{"title":"Generation of Unusual Plasma Discharge Video by Generative Adversarial Network","authors":"Tran Vo Khanh Ngan, T. Hochin, Hiroki Nomiya, H. Nakanishi, M. Shoji","doi":"10.4018/ijsi.309732","DOIUrl":"https://doi.org/10.4018/ijsi.309732","url":null,"abstract":"In nuclear fusion experiments in large helical device (LHD), a lot of videos containing the images of plasma discharge are recorded. An observation of the recorded images of plasma light emission can lead to a new discovery or help to optimize the operational parameters for the experiment. An unusual plasma discharge, which may cause damage to the device, is expected to be foreseen through a prediction method. Due to the shortage of videos having such unusual emissions, the generation of more videos having similar phenomenon is required. However, video generation is a very challenging issue as the videos should have not only similarity in features in the real one but also a plausibility in frame-by-frame transition, especially in the case of plasma discharges. Thus, this paper proposes a method to generate a video containing plasma light emission using generative adversarial network (GAN). It has been confirmed that the proposed generative model can produce a new video having plasma light emission with a very smooth frame transition.","PeriodicalId":396598,"journal":{"name":"Int. J. Softw. Innov.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115867523","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
A Sequential Comparative Analysis of Software Change Proneness Prediction Using Machine Learning 使用机器学习的软件变更倾向预测的顺序比较分析
Int. J. Softw. Innov. Pub Date : 2022-01-01 DOI: 10.4018/ijsi.297993
R. Abbas, F. Albalooshi
{"title":"A Sequential Comparative Analysis of Software Change Proneness Prediction Using Machine Learning","authors":"R. Abbas, F. Albalooshi","doi":"10.4018/ijsi.297993","DOIUrl":"https://doi.org/10.4018/ijsi.297993","url":null,"abstract":"Change-prone modules are more likely to produce defects and accumulate technical debt. Thus, developing prediction models for determining change-prone software classes is critical. Such models will allow for more efficient resource utilization during the maintenance phase and will make them more adaptable to future changes. This paper applies the study on a large dataset from a commercial software to investigate the relationships between object-oriented metrics and change-proneness. The study also compared the performance of several machine learning techniques including combining methods that were constructed by combining several single and ensemble classifiers with voting, Select-Best, and stacking scheme. The result of the study indicates a high prediction performance of many of the ensemble classifiers and the combining methods selected and proved that machine learning methods are very beneficial for predicting change-prone classes in software. The study also demonstrated that software metrics are significant indicators of class change-proneness and should be monitored regularly.","PeriodicalId":396598,"journal":{"name":"Int. J. Softw. Innov.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123446319","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
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