2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA)最新文献

{"title":"Classification and Profiling of Electricity Consumption Patterns using Bayesian Networks","authors":"Nur Izzan Nadia Komori, N. Zaini, M. Latip","doi":"10.1109/ISIEA54517.2022.9873713","DOIUrl":"https://doi.org/10.1109/ISIEA54517.2022.9873713","url":null,"abstract":"Electricity waste is becoming more prevalent due to the lack of awareness of consumers about their energy-wasting habits. The main reason is the absence of a feedback mechanism to make consumers aware of the energy waste that occurs. Looking at this need, this study aims to determine a mechanism that can identify whether consumers are saving or wasting energy. Energy consumption patterns were analyzed based on usage trends and building categories. The mechanism used applies Bayesian Network techniques in analyzing energy consumption patterns, especially in the classification or profiling of energy consumption. Driven by this mechanism, a monitoring system was also developed based on the Bayesian Network to further study the energy consumption of buildings based on different building profiles and user profiles. This study requires several activities to achieve the set objectives. Among the important activities include the data preparation process followed by data pre-processing. Following this phase, a classification process is then carried out i.e., classification analysis for Usage Trends, Building Profiles and User Profiles. Next, several parameters were set before the classification model was trained and tested. This study used a Naïve Bayes classifier to train and test the data set. After the Bayesian model is trained, it will be tested for its accuracy. If the accuracy is low, the parameter setting process will be repeated to adjust the best settings. The classification test will display the accuracy of the classification results based on ‘good classify’ and ‘bad classify’. In the analysis made, it was found that more correct classifications were successfully performed compared to incorrect classifications. This is by looking at the percentage of ‘good classify’ outputs that is higher than ‘bad classify’ outputs. Based on the generated models, the energy consumption monitoring system can use to analyze energy consumption behavior and in turn, can provide insights to resolve existing issues.","PeriodicalId":200043,"journal":{"name":"2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":" 1279","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131977052","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":"Hard-Decision Aided Stopping Criterion Analysis in High Rate Modulation System","authors":"Mohamad Yusuf Mat Nasir, R. Mohamad, Norakmar Arbain, Farah Yasmin Abdul Rahman, S. Shahbudin, Nuzli Mohamad Anas","doi":"10.1109/ISIEA54517.2022.9873674","DOIUrl":"https://doi.org/10.1109/ISIEA54517.2022.9873674","url":null,"abstract":"Hard-decision aided (HDA) method is used effectively as the stopping criterion in iterative turbo decoding. It inspects the sign of decoded bits between two successive iterations and stops the process when the sign does not change. Typically, a low rate modulation technique such as binary phase-shift keying is utilised to gauge the HDA performance. Thus, this paper investigates its average iteration number (AIN) and bit error rate (BER) performances under high rate quadrature amplitude modulation in an additive white Gaussian noise. HDA performance studies were simulated under four scenarios; a) varying turbo code generators, 2) varying turbo code rates, 3) varying modulation sizes, and 4) varying frame sizes. The results show that the HDA stopping criterion is well-performed at low SNR and high SNR, however, the criterion iterates to maximum iteration at medium SNR. Interestingly, its BER performances are maintained as the fixed stopping criterion.","PeriodicalId":200043,"journal":{"name":"2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"30 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126089653","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 Miniaturized Monopole Antenna with Embedded Rectangular Notch for UWB Usage","authors":"Joseph Owusu, Lilian-Gloria Aniewu, Kwabena Amoako Kyeremeh, V. Loung, Stephen Owusu, Melody Twenewaa","doi":"10.1109/ISIEA54517.2022.9873711","DOIUrl":"https://doi.org/10.1109/ISIEA54517.2022.9873711","url":null,"abstract":"Ultra-wideband applications have been an important part of wireless communication due to their low power consumption and high data rate. A small monopole antenna for ultra-wideband application is introduced and examined in this paper. The antenna comprises a rectangular patch with lower right angle edges cut for lower length high-frequency resonance. The Rogers RT/Duroid 5880 with an Er of 2.2 was employed as the substrate material. A partial ground plane configuration is used to ensure that the bandwidth of the antenna operation can be improved, and the quality factor reduced to increase back lobe radiation. The final dimensions attained after optimization is a low profile of 27 mm x 32 mm x 0.80 mm including the feeding mechanism. The monopole antenna has a low cost, high impedance bandwidth of 3.58 to 15.10 GHz at 10 dB return loss. The Antenna exhibits multiband characteristics at 20 dB return loss of 4.0 GHz to 5.5 GHz and 10.0 GHz to 11.0 GHz. The antenna achieved a VSWR of less than 2 in the operating frequency band, making the antenna very capable of wireless transmission. The proposed antenna will do well in ultra-wideband operations such as WLAN, WiMAX, and Wi-Fi. Furthermore, its low gain and wide-angle coverage makes it a good fit for urban centers, mobile devices, certain wearable technologies, and aircraft services that find their relevance in the UWB frequency spectrum.","PeriodicalId":200043,"journal":{"name":"2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"173 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114240228","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 Survey on Software/Hardware Fault Injection Tools and Techniques","authors":"N. K. Salih, D. Satyanarayana, A. Alkalbani, R. Gopal","doi":"10.1109/ISIEA54517.2022.9873679","DOIUrl":"https://doi.org/10.1109/ISIEA54517.2022.9873679","url":null,"abstract":"Computational systems need to be dependable, but they are vulnerable to defects, errors, failure and faults, and they affect their behaviour. Fault injection is one of the useful techniques that have been used to evaluate the behaviour of the system by intentionally introduced fault, so as to determine its effect on the system behaviour. There are many tools and techniques used to inject faults, categorized under software and hardware techniques. To keep pace with progress and development over time, developers need to be aware off tools and techniques according to their needs, when using either software or hardware. In this paper we make a survey for several tools and techniques which are mostly used these days. As we compare between them based on their basic functions, source need, how to inject faults and feedback about each one.","PeriodicalId":200043,"journal":{"name":"2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"37 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121762720","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 Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models","authors":"Sajib Kumar Saha Joy, Dibyo Fabian Dofadar, Riyo Hayat Khan, M. Ahmed, Rafeed Rahman","doi":"10.1109/ISIEA54517.2022.9873797","DOIUrl":"https://doi.org/10.1109/ISIEA54517.2022.9873797","url":null,"abstract":"The rapid advancement of social networks and the convenience of internet availability have accelerated the rampant spread of false news and rumors on social media sites. Amid the COVID-19 epidemic, this misleading information has aggravated the situation by putting people’s mental and physical lives in danger. To limit the spread of such inaccuracies, identifying the fake news from online platforms could be the first and foremost step. In this research, the authors have conducted a comparative analysis by implementing five transformer-based models such as BERT, BERT without LSTM, ALBERT, RoBERTa, and a Hybrid of BERT & ALBERT in order to detect the fraudulent news of COVID-19 from the internet. COVID-19 Fake News Dataset has been used for training and testing the models. Among all these models, the RoBERTa model has performed better than other models by obtaining an F1 score of 0.98 in both real and fake classes.","PeriodicalId":200043,"journal":{"name":"2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125037476","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":"Cloud Computing Privacy: Concept , Issues And Solutions","authors":"Omar O. Aldawibi, Musbah A. Sharf, Mansor M. Obaid","doi":"10.1109/ISIEA54517.2022.9873688","DOIUrl":"https://doi.org/10.1109/ISIEA54517.2022.9873688","url":null,"abstract":"Today, the internet is used not only to obtain information, but also to store personal data and to make use of the software and technology that is available on the internet. The most essential challenge in this context is how to keep cloud administrators from seeing customer data stored in the cloud, as well as how to ensure that security-related functions are separate from cloud management functions. The proposed architecture is presented in this paper to address the majority of privacy issues in cloud computing. The primary idea behind the proposed architecture is to fragment data and store it on many clouds using third parties.","PeriodicalId":200043,"journal":{"name":"2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128322577","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":"Design and Fabrication of Improved V-8 Solenoid Engine with Splash Lubrication System","authors":"Jane E. Morgado, Mark Joseph B. Enojas, Harveen C. Bongao, Hohn Lois C. Bongao, Jefferson C. Rufo, Ruem G. Arribas, Clark David M. Cruz, Matthew Domingo S. Gaza, Clinton P. Icuspit","doi":"10.1109/ISIEA54517.2022.9873757","DOIUrl":"https://doi.org/10.1109/ISIEA54517.2022.9873757","url":null,"abstract":"This work shows that the performance of the V-8 Solenoid engine can be further improved by integrating a splash lubrication system based on the recommendations of the previous studies. The lubricant used to dissipate the heat from the coils is the Castor MAGNATEC 15W-40 based on the material selection process conducted. Furthermore, a hall-effect sensor is utilized to improve the accuracy of detecting the generated engine speed. In the analysis of the engine performance, this work reveals that the speed can be increased up to 750 rpm, and the efficiency to 27.1 % which is relatively higher than the reference literature. Experimental calculations also show that incorporating a splash lubrication system enhances the heat dissipation by a magnitude of 3 and thereby extending the operating time of the solenoid engine; and the output power obtained from this experimental model is at 11.7 W. This present work contributes to the effort of engineers and manufacturers in developing the next generation of environment-friendly combustion engines.","PeriodicalId":200043,"journal":{"name":"2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124640136","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":"X-Ray, MRI and CT scan Medical Image Compression using Huffman Coding","authors":"M. H. Alkawaz, Muhammad Akmal Shaik Mydin, M. Johar","doi":"10.1109/ISIEA54517.2022.9873664","DOIUrl":"https://doi.org/10.1109/ISIEA54517.2022.9873664","url":null,"abstract":"In hospitals, modern medical imaging generates a large amount of medical pictures. The necessity of medical image compression in telehealth cannot be overstated because it provides for excellent image quality for the medical images containing substantial diagnostic information while requiring less storage space, allowing them to be conveniently transmitted across a network and accessible in a short period of time. This research assessed the performance analysis of several image compression methods for the medical images such as X-rays, MRIs, and CT scans. Image quality parameters such as Compression Ratio (CR), Peak Signal to Noise Ratio (PSNR), and Mean Structural Similarity Index (MSSI) have been used to assess the quality of medical pictures following compression using Huffman coding.","PeriodicalId":200043,"journal":{"name":"2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"605 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131817419","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":"Sentiment Analysis From Bengali Social Media Posts Using Hybridized Feature Extraction Approach","authors":"Samsul Islam, M. Islam, Md. Mahadi Hasan, S. M. S. M. Ayon, Syeda Shabnam Hasan","doi":"10.1109/ISIEA54517.2022.9873668","DOIUrl":"https://doi.org/10.1109/ISIEA54517.2022.9873668","url":null,"abstract":"Now-a-days, Social media platforms like Facebook, Twitter etc. are becoming more and more popular to express feelings and thoughts. People not only share their happy moments on these platforms but also share their feelings when they are extremely depressed. Analyzing these social media posts, one’s mental condition can be detected whether he/she is happy, sad or angry at a particular time using sentiment analysis in natural language processing. Most of the research in this field is based on English language and the accuracy of sentiment analysis from Bengali language is not very high. So, our purpose is to work on this field using Bengali dataset collected from different social media posts and make the sentiment detection more accurate so that this work can be used to build a system that can be used in the mental health sector of our country. In this research, we have first collected social media data. After applying different data preprocessing techniques, we have made a number of feature selection and extraction combinations. We have applied some basic and advanced machine learning and deep learning algorithms on each of these to find the best combination and algorithm by monitoring the highest achieved accuracy.","PeriodicalId":200043,"journal":{"name":"2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127404213","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 System for Optimizing Software Regression Test Cases using Modified Ant Colony Optimization Algorithm","authors":"M. H. Alkawaz, Abrahmi Silvarajoo, Omar Farook Mohammad, L. Raya","doi":"10.1109/ISIEA54517.2022.9873649","DOIUrl":"https://doi.org/10.1109/ISIEA54517.2022.9873649","url":null,"abstract":"Software Regression Testing (SRT) is directed to existing applications to ensure that an adjustment of code doesn't impact the current functionalities. Test Case Prioritization (TCP) helps with rescheduling test cases and selects according to the course of action. Ant Colony Optimization (ACO) is a streamlining calculation spurred by looking through the conduct of bugs. This paper proposes a system for optimizing SRT test cases using the Modified-Ant Colony(m-ACO) Optimization algorithm. m-ACO is the modification of the ACO strategy. It rearranges the conduct grouping of test cases by switching the marvel of trademark bugs for picking the nourishment. The proposed system has been tried for Zasta Billing Web Application (ZBWA) and contrasted with the days to finish the SRT manually and utilize the suggested approach. The recommended system assists with diminishing the days conducted SRT from 90 days to 45 days to accomplish the period for SRT in that firm.","PeriodicalId":200043,"journal":{"name":"2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131521741","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}