Transactions on Machine Learning and Artificial Intelligence最新文献

{"title":"Can an Efficient Metal-Oxide-Semiconductor Device be Made from Aluminium Nitride Ultra-Wide Bandgap Semiconductor?","authors":"","doi":"10.14738/tecs.115.15831","DOIUrl":"https://doi.org/10.14738/tecs.115.15831","url":null,"abstract":"The question of whether one can make an efficient metal-oxide-semiconductor (MOS) device using wurtzite Aluminium Nitride semiconductor is answered in this short communication.","PeriodicalId":119801,"journal":{"name":"Transactions on Machine Learning and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135724580","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":"ADDENDUM TO: A Study on the Eigen Properties of the Coaxial Waveguide of Cylindrical Form","authors":"","doi":"10.14738/tecs.115.15790","DOIUrl":"https://doi.org/10.14738/tecs.115.15790","url":null,"abstract":"The physical properties of the dielectric cladding wrapping the cylindrical waveguide were investigated by finite element method. These properties are described by transverse electric and magnetic field modes. To obtain these results, the eigen matrix equation basing on the Helmholtz vector equation must be solved. But the size of this equation is too large to derive the results using a personal computer. Therefore, the eigen equation is compressed using the Arnoldi algorithm and after that the results are derived using the Krylov-Schur iteration method. The similarity transformation matrix to make this equation into the Schure form contains the desired eigenmode pairs of electric field and electric potential. As results, these are schematically represented with the electric field, 3-dimensional electric potential and electric potential contour.","PeriodicalId":119801,"journal":{"name":"Transactions on Machine Learning and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135724992","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":"Performance Evaluation of IPv4 and IPv6 on IPsec/MPLS Enabled Network: A Case of Zambia","authors":"","doi":"10.14738/tecs.115.15645","DOIUrl":"https://doi.org/10.14738/tecs.115.15645","url":null,"abstract":"This paper explores the performance of IPv4 versus that of IPv6 in an MPLS/IPsec enabled network for real time applications and non-real time applications. Major Internet Service Providers (ISP) in Zambia have implemented MPLS within their core networks in order to provide traffic engineering and Quality of Service and network efficiency, however, MPLS does not encrypt the data as it travels through the network. To mitigate this, customers using the public infrastructure to connect to their remote sites have implemented IPsec. This framework of related protocols protects one or more data flows between network peers, thus data confidentiality and integrity can be achieved. When MPLS is combined with IPsec both technologies can provide more security for enterprise WAN networks. However, most service providers and ISPs in Zambia and their Enterprise customers have implemented these technologies using Internet Protocol version Four (IPv4). As the number of devices requiring connectivity to the internet and core systems increases exponentially, the limited address space for IPv4 has reached exhaustion. This has prompted the Zambia Information and Communications Technology Authority (ZICTA) which is the statutory body for regulating Information and Communications Technology (ICT) in Zambia to include the development and implementation plan for migration from IPv4 to IPv6 in their 2022 to 2024 strategy. Once implemented, this strategy hopes to increase access and usage of ICT and postal services and increase the internet penetration rate from 60% to 70% by 2025. Based on Google’s statistics, the IPv6 adoption rates for Zambia is still at 0%. In order to analyze the penetration rates of IPv4 versus IPv6, a structured questionnaire has been administered on 30 ISP employees and 30 enterprise customer employees to access the use of IPv4 and IPv6 protocols in their MPLS/IPsec networks. The data simulation for Voice over Internet Protocol (VoIP), Video conferencing, and Email was done using Riverbed Modeler simulation software and observe the performance of IPv4 in comparison with IPv6 in terms of jitter, throughput and delay.","PeriodicalId":119801,"journal":{"name":"Transactions on Machine Learning and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135724856","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 Study on the Eigen Properties of the Coaxial Waveguide of Cylindrical Form","authors":"","doi":"10.14738/tecs.115.15656","DOIUrl":"https://doi.org/10.14738/tecs.115.15656","url":null,"abstract":"In this study, the eigen properties of the coaxial waveguide of cylindrical form is investigated by using finite element method. The eigenmatrix equation constructed from the Helmholtz vector equation is too large to derive the results using a personal computer. Therefore, the eigen equations are compressed using the Arnoldi algorithm and after that the results are derived using the Krylov-Schur iteration method. The similarity transformation matrix used during this process contains the desired eigenmode pair. The eigenmodes are simultaneously included in the column matrix components of the transform matrix. These are represented with the pairs of the electric field and electric potential. The eigenmodes have been divided into two classes: transverse magnetic modes and transverse electric modes. As results, in order to more clearly reveal the characteristics of the eigenmodes, these results are shown in the figure.","PeriodicalId":119801,"journal":{"name":"Transactions on Machine Learning and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135767441","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":"Implementation of McEliece Encryption Scheme Based on Quasi- Cyclics Goppa Codes (QC-GOPPA)","authors":"","doi":"10.14738/tecs.115.15567","DOIUrl":"https://doi.org/10.14738/tecs.115.15567","url":null,"abstract":"","PeriodicalId":119801,"journal":{"name":"Transactions on Machine Learning and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135408807","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 Study on the Eigenmodes of the Rectangular Cavity","authors":"","doi":"10.14738/tecs.115.15537","DOIUrl":"https://doi.org/10.14738/tecs.115.15537","url":null,"abstract":"In this study, finite Element method has been carried out to investigate the eigen properties of the rectangular cavity. Because the horizontal length is much larger than that of vertical one, eigenmodes take on various forms in the horizontal direction. The physical properties of rectangular cavities have been considered basing on the higher-order eigenmodes including the ground state. The eigenmodes have been divided into two classes: transverse electric modes and transverse magnetic modes. These classes were depended on the boundary condition imposed on the cavity surface. The eigenmodes have been described with the electric field, electric potential and electric equipotential contour. The eigenmode was determined by comparing and compensating the electric field and potential each other. These results have been revealed by schematic representations.","PeriodicalId":119801,"journal":{"name":"Transactions on Machine Learning and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135408816","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":"Metal-Insulator-Semiconductor Characterization by Fowler-Nordheim Carrier Tunnelling Currents Through MOS Devices","authors":"","doi":"10.14738/tecs.115.15489","DOIUrl":"https://doi.org/10.14738/tecs.115.15489","url":null,"abstract":"","PeriodicalId":119801,"journal":{"name":"Transactions on Machine Learning and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136072260","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":"Analysis and Improvement Approach of the Impact of Data Disturbance on LSTM Prediction Algorithm","authors":"","doi":"10.14738/tecs.115.15411","DOIUrl":"https://doi.org/10.14738/tecs.115.15411","url":null,"abstract":"If the sampling data with noise or outliers are used to train the long-short-term memory (short as LSTM) network, whether the perturbations and outliers in sampling data affect the training performance and prediction accuracy of LSTM networks is a key problem. This paper analyzed the impact on the LSTM prediction effect when using perturbations and isolated/patchy outliers involved data for network training and prediction. The results showed that the prediction accuracy decreases as the amplitude of the perturbations and the range of outliers increase. In order to overcome this effect, an improved method of Pre-set Outliers Tolerant Filter is proposed, and an Outliers-Tolerant Multi-LSTM model, in short, the OTML model, is established. The prediction effect of the proposed model is compared with that of the LSTM model without the filter and that of the LSTM model with a mean filter. Comparison results showed that the OTML prediction model proposed in this paper can eliminate the influence of random noise and isolated outliers thoroughly. When meeting the patchy outliers whose width is smaller than the radius of the window, the OTML prediction model can filter them out too, so as to realize the high-fidelity prediction of the data.","PeriodicalId":119801,"journal":{"name":"Transactions on Machine Learning and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136072130","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":"Graph Convolutional Network Approach for Predicting the Severity of Carpal Tunnel Syndrome","authors":"","doi":"10.14738/tecs.115.15441","DOIUrl":"https://doi.org/10.14738/tecs.115.15441","url":null,"abstract":"This study proposes a framework based on graph convolutional network to predict the severity of carpal tunnel syndrome. The data of 100 patients diagnosed and treated for carpal tunnel syndrome (CTS) were included in this study resulting in 164 operated hands. The collected data include patient generalities, data from the clinical examination of the stage of CTS, electrophysiological study (EPS) and the data from BCTQ questionnaire. The data was prepared for modelling the graph.  A weighted graph that stores not only the features of each case but also the relationship between the cases is created.  We compared the model accuracy of graph convolutional network to different machine learning algorithms. The results showed that this model achieves higher result of 90 % accuracy.","PeriodicalId":119801,"journal":{"name":"Transactions on Machine Learning and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136072144","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":"Comparison of Mutation Testing and Manual Seeded Testing in Regression Test Selection","authors":"","doi":"10.14738/tecs.115.15424","DOIUrl":"https://doi.org/10.14738/tecs.115.15424","url":null,"abstract":"","PeriodicalId":119801,"journal":{"name":"Transactions on Machine Learning and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136072055","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}