Background: Hepatitis C (HCV) is worldwide community health problem that gives rise to liver cancer. Even though prevalence of HCV is higher and waste handlers being at high risk for HCV, there is scarcity of information on knowledge, attitude and practice (KAP) concerning HCV among waste handlers. Methods: Quantitative cross-sectional study from Oct 2021 to 30 July 2022 in different public Hospitals of Sidama Region aimed to evaluate KAP of HCV among randomly selected waste handlers was undertaken amongst 282 respondents. KAP regarding HCV were assessed using standardized structured questionnaire. Descriptive summary measures were done. Multivariate logistic regression was accompanied with 95% confidence interval and P-value < 0.05 was confirmed statistically significant. To assess the association between the KAP, Spearman’s rho correlation were used. Results: Mean scores for KAP were 22.24±8.15, 46.75±10 and 4.19±1.72 respectively. Educational level (OR = 2.427; 95% CI = [1.116 –37.89], P = 0.042), monthly income (OR = 1.001; 95% CI = [1.000–10.002], P = 0.029), use of media (OR = 2.461; 95% CI = [2.688–8.799], P = 0.006), marital status (OR = 22.961; 95% CI = [1.203–38.157], P = 0.037) and residence (OR = 6.332; 95% CI = [1.703–23.544], P = 0.006) contributed significantly to the prediction of knowledge. Spearman rank correlation revealed significant positive correlations between knowledge-attitude (r = 0.57, P < 0.037), knowledge-practice (r = 0.265, P = 0.00) and attitude-practice (r = 0.72, P = 0.02). Conclusions: Although the study highlighted optimal KAP with regards to several aspects of HCV, educational campaigns should emphasize the necessity of continued education about HCV in order to more improve attitudes, knowledge and practices of waste handlers regarding HCV
背景:丙型肝炎(HCV)是引起肝癌的全球性社区卫生问题。尽管HCV的患病率较高，而且垃圾处理者是HCV的高危人群，但在垃圾处理者中，关于HCV的知识、态度和实践(KAP)方面的信息缺乏。方法:从2021年10月至2022年7月30日在Sidama地区不同公立医院进行定量横断面研究，旨在评估随机选择的282名受访者中HCV处理者的KAP。采用标准化结构化问卷对HCV的KAP进行评估。进行了描述性的总结测量。多因素logistic回归伴有95%置信区间和p值<0.05为有统计学意义。为了评估KAP之间的关联，我们使用了Spearman’s rho相关。结果:KAP平均评分分别为22.24±8.15分、46.75±10分和4.19±1.72分。学历(OR = 2.427;95% CI = [1.116 -37.89]， P = 0.042)，月收入(OR = 1.001;95% CI = [1.000-10.002]， P = 0.029)，培养基的使用(OR = 2.461;95% CI = [2.688-8.799]， P = 0.006)，婚姻状况(OR = 22.961;95% CI = [1.203-38.157]， P = 0.037)和居住地(OR = 6.332;95% CI = [1.703-23.544]， P = 0.006)对知识预测有显著贡献。Spearman秩相关显示，知识与态度之间存在显著正相关(r = 0.57, P <0.037)、知识-实践(r = 0.265, P = 0.00)、态度-实践(r = 0.72, P = 0.02)。结论:尽管该研究强调了HCV几个方面的最佳KAP，但教育活动应强调继续进行HCV教育的必要性，以进一步改善废物处理者对HCV的态度、知识和实践
{"title":"Knowledge Attitude and Practice about Hepatitis C Virus and Associated Factors among Waste Handlers at Public Hospitals of Sidama Region, Ethiopia: Facility Based Cross Sectional Study","authors":"","doi":"10.33140/jeee.02.03.16","DOIUrl":"https://doi.org/10.33140/jeee.02.03.16","url":null,"abstract":"Background: Hepatitis C (HCV) is worldwide community health problem that gives rise to liver cancer. Even though prevalence of HCV is higher and waste handlers being at high risk for HCV, there is scarcity of information on knowledge, attitude and practice (KAP) concerning HCV among waste handlers. Methods: Quantitative cross-sectional study from Oct 2021 to 30 July 2022 in different public Hospitals of Sidama Region aimed to evaluate KAP of HCV among randomly selected waste handlers was undertaken amongst 282 respondents. KAP regarding HCV were assessed using standardized structured questionnaire. Descriptive summary measures were done. Multivariate logistic regression was accompanied with 95% confidence interval and P-value < 0.05 was confirmed statistically significant. To assess the association between the KAP, Spearman’s rho correlation were used. Results: Mean scores for KAP were 22.24±8.15, 46.75±10 and 4.19±1.72 respectively. Educational level (OR = 2.427; 95% CI = [1.116 –37.89], P = 0.042), monthly income (OR = 1.001; 95% CI = [1.000–10.002], P = 0.029), use of media (OR = 2.461; 95% CI = [2.688–8.799], P = 0.006), marital status (OR = 22.961; 95% CI = [1.203–38.157], P = 0.037) and residence (OR = 6.332; 95% CI = [1.703–23.544], P = 0.006) contributed significantly to the prediction of knowledge. Spearman rank correlation revealed significant positive correlations between knowledge-attitude (r = 0.57, P < 0.037), knowledge-practice (r = 0.265, P = 0.00) and attitude-practice (r = 0.72, P = 0.02). Conclusions: Although the study highlighted optimal KAP with regards to several aspects of HCV, educational campaigns should emphasize the necessity of continued education about HCV in order to more improve attitudes, knowledge and practices of waste handlers regarding HCV","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135109748","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}
Fuzz testing is a widely used methodology for software testing. It collects feedback of each run and uses it for generation of interesting stimuli in the future. This paper discusses the ability and process of fuzz stimuli generator for hardware verification. We chose an asynchronous FIFO and a memory coherency verification using fuzz [1]. Our results substantiate the effectiveness of fuzz testing in the hardware verification process.
{"title":"An Empirical Study of Fuzz Stimuli Generation for Asynchronous Fifo And Memory Coherency Verification","authors":"","doi":"10.33140/jeee.02.03.13","DOIUrl":"https://doi.org/10.33140/jeee.02.03.13","url":null,"abstract":"Fuzz testing is a widely used methodology for software testing. It collects feedback of each run and uses it for generation of interesting stimuli in the future. This paper discusses the ability and process of fuzz stimuli generator for hardware verification. We chose an asynchronous FIFO and a memory coherency verification using fuzz [1]. Our results substantiate the effectiveness of fuzz testing in the hardware verification process.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134972961","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 : 2023-09-12DOI: 10.37256/jeee.2220233485
Saeedeh Makhsuci, Leila Sharara, Mihai Sanduleanu, Mohammed Ismail
This article presents advancements and key considerations in the design implementation of phased array transceivers for the fifth-generation (5G) communication networks. It emphasizes the significance of careful consideration and system-level optimization to realize the full potential of phased array transceivers. The focus is on antenna elements and beamforming techniques with a detailed discussion on different types of beamforming techniques used in wireless communication systems. These include analog, digital, and hybrid beamforming. The article starts by introducing the concept of a phase shifter, which is a crucial component in controlling the phase of the transmitted signal. It then proceeds to discuss the role of a variable gain amplifier in amplifying the signal received by each antenna element of the array, followed by emphasizing the importance of a Low-Noise Amplifier (LNA) in transceiver design to amplify weak signals with minimal noise. In addition, this article provides a detailed discussion on the mixer, which is used to downconvert or upconvert the frequency of the received signal to a more appropriate frequency for further processing or transmission. Finally, the power amplifier (PA), which is used to boost signal power in 5G networks, is also discussed in detail.
{"title":"Advanced Phased Array Transceivers for Enabling Next-Generation 5G Communication Networks","authors":"Saeedeh Makhsuci, Leila Sharara, Mihai Sanduleanu, Mohammed Ismail","doi":"10.37256/jeee.2220233485","DOIUrl":"https://doi.org/10.37256/jeee.2220233485","url":null,"abstract":"This article presents advancements and key considerations in the design implementation of phased array transceivers for the fifth-generation (5G) communication networks. It emphasizes the significance of careful consideration and system-level optimization to realize the full potential of phased array transceivers. The focus is on antenna elements and beamforming techniques with a detailed discussion on different types of beamforming techniques used in wireless communication systems. These include analog, digital, and hybrid beamforming. The article starts by introducing the concept of a phase shifter, which is a crucial component in controlling the phase of the transmitted signal. It then proceeds to discuss the role of a variable gain amplifier in amplifying the signal received by each antenna element of the array, followed by emphasizing the importance of a Low-Noise Amplifier (LNA) in transceiver design to amplify weak signals with minimal noise. In addition, this article provides a detailed discussion on the mixer, which is used to downconvert or upconvert the frequency of the received signal to a more appropriate frequency for further processing or transmission. Finally, the power amplifier (PA), which is used to boost signal power in 5G networks, is also discussed in detail.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135826469","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}
Focusing on the particularity of holiday load, in this paper, a periodic autoregressive moving average model (PAMAM) algorithm based on selecting optimal input features (SOIF) is proposed to predict the short-term holiday power load. In short-term load forecasting models, there are few researches on feature selection (FS). However, as more and more intelligent hybrid models are used in real-time load forecasting, FS has become a key factor affecting the forecasting accuracy. Based on the idea of SOIF, PAMAM model is proposed to improve the influence of FS factors, and the holiday equations are combined into periodic autoregressive moving average model, so as to improve the short-term forecasting. In order to simplify the calculation, in this paper, the probability distribution is used to calculate the FS, and the autoregressive spline algorithm is used to establish the nonlinear solar radiation and temperature effect model. Based on the statistics of solar radiation intensity, temperature and other data during the Spring Festival, in this paper we analyze the influence of the above factors on the short-term power load forecasting during holidays. Experimental results show that SOIF-PAMAM algorithm in which temperature and other weather conditions are considered can significantly improve the prediction accuracy, the average absolute error is 2.45%, and the root mean square error is 2.61%.
{"title":"An Empirical Study of Fuzz Stimuli Generation for Asynchronous Fifo And Memory Coherency Verification","authors":"","doi":"10.33140/jeee.02.03.12","DOIUrl":"https://doi.org/10.33140/jeee.02.03.12","url":null,"abstract":"Focusing on the particularity of holiday load, in this paper, a periodic autoregressive moving average model (PAMAM) algorithm based on selecting optimal input features (SOIF) is proposed to predict the short-term holiday power load. In short-term load forecasting models, there are few researches on feature selection (FS). However, as more and more intelligent hybrid models are used in real-time load forecasting, FS has become a key factor affecting the forecasting accuracy. Based on the idea of SOIF, PAMAM model is proposed to improve the influence of FS factors, and the holiday equations are combined into periodic autoregressive moving average model, so as to improve the short-term forecasting. In order to simplify the calculation, in this paper, the probability distribution is used to calculate the FS, and the autoregressive spline algorithm is used to establish the nonlinear solar radiation and temperature effect model. Based on the statistics of solar radiation intensity, temperature and other data during the Spring Festival, in this paper we analyze the influence of the above factors on the short-term power load forecasting during holidays. Experimental results show that SOIF-PAMAM algorithm in which temperature and other weather conditions are considered can significantly improve the prediction accuracy, the average absolute error is 2.45%, and the root mean square error is 2.61%.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135205755","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}
Classical natural language processing (NLP) has been successfully modeled and implemented to enable robots or chatbots to have some understanding of human languages and communication, but this has not been very effective to help the robots communicate effectively. Quantum computers introduce a multitude of new ways in which more highly complex and integrated robotics modeling and computations can be achieved, delivering finer control in robotics use cases with humans. As mentioned in articles “Genome assembly using quantum and quantum‑inspired annealing” “The pandemic highlighted the importance of and breadth of robotics applications, shining a light on a potential robotic future in healthcare, which we discuss here”, there is a lot more to explore in quantum computing. However, in this study, we will present how quantum robotics can help in developing superior surgical techniques where robots perform advanced medical surgeries, with a more sophisticated, faster, less intrusive process that achieves more successful patient outcomes in complex surgery processes that might otherwise take repeat surgeries with multiple human medical teams. This approach will include the use of quantum natural language processing (QNLP) [1,2]
{"title":"At The Intersection of Medical Robotic Surgery and Drug Discovery with Quantum Computing","authors":"Valery Herrington1, Oluwafemi Adedeji2, Valery Herrington","doi":"10.33140/jeee.02.03.10","DOIUrl":"https://doi.org/10.33140/jeee.02.03.10","url":null,"abstract":"Classical natural language processing (NLP) has been successfully modeled and implemented to enable robots or chatbots to have some understanding of human languages and communication, but this has not been very effective to help the robots communicate effectively. Quantum computers introduce a multitude of new ways in which more highly complex and integrated robotics modeling and computations can be achieved, delivering finer control in robotics use cases with humans. As mentioned in articles “Genome assembly using quantum and quantum‑inspired annealing” “The pandemic highlighted the importance of and breadth of robotics applications, shining a light on a potential robotic future in healthcare, which we discuss here”, there is a lot more to explore in quantum computing. However, in this study, we will present how quantum robotics can help in developing superior surgical techniques where robots perform advanced medical surgeries, with a more sophisticated, faster, less intrusive process that achieves more successful patient outcomes in complex surgery processes that might otherwise take repeat surgeries with multiple human medical teams. This approach will include the use of quantum natural language processing (QNLP) [1,2]","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81507225","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}
This study investigated the effects of chemical carcinogenesis induced by 7, 12-dimethylbenz (α) anthracene (DMBA) in mice. The respiratory activity of isolated mitochondria in mouse livers was investigated at various times after the subcutaneous administration of DMBA. Our findings indicated that DMBA derivatives did not exhibit damaging effects on mitochondrial membranes. On the contrary, they showed a stimulating effect on the phosphorylation process compared with the control. This paper discusses the possible role of coherent electromagnetic radiation in biological systems. Additionally, data on the non-chemical interactions between isolated mitochondria and the material (plexiglass and quartz) of the incubation cells were considered. Carcinogenesis was previously considered an exclusive process of biochemical and genetic disorders. However, recent studies have increasingly focused on the physical aspects of carcinogenesis, such as the influence of various wavelengths of electromagnetic radiation on biological systems, the special energy organization of the intracellular space associated with the architectonics of mitochondria and microtubules, and the generation of coherent electromagnetic waves. It was assumed that the biological features of the malignant cells were due to the violation of the electrodynamic parameters of the intracellular space, and the initiating factor was the intrinsic emission of carcinogenic substances. The results of this study indicated that non-chemical factors influenced the mitochondrial poly-enzyme system and confirmed the importance of the non-chemical effect of a carcinogen on bio-objects by examining respiration and phosphorylation of isolated mouse liver mitochondria at various times after the subcutaneous injection of DMBA.
{"title":"Physical Aspects of Chemical Carcinogenesis","authors":"","doi":"10.33140/jeee.02.03.09","DOIUrl":"https://doi.org/10.33140/jeee.02.03.09","url":null,"abstract":"This study investigated the effects of chemical carcinogenesis induced by 7, 12-dimethylbenz (α) anthracene (DMBA) in mice. The respiratory activity of isolated mitochondria in mouse livers was investigated at various times after the subcutaneous administration of DMBA. Our findings indicated that DMBA derivatives did not exhibit damaging effects on mitochondrial membranes. On the contrary, they showed a stimulating effect on the phosphorylation process compared with the control. This paper discusses the possible role of coherent electromagnetic radiation in biological systems. Additionally, data on the non-chemical interactions between isolated mitochondria and the material (plexiglass and quartz) of the incubation cells were considered. Carcinogenesis was previously considered an exclusive process of biochemical and genetic disorders. However, recent studies have increasingly focused on the physical aspects of carcinogenesis, such as the influence of various wavelengths of electromagnetic radiation on biological systems, the special energy organization of the intracellular space associated with the architectonics of mitochondria and microtubules, and the generation of coherent electromagnetic waves. It was assumed that the biological features of the malignant cells were due to the violation of the electrodynamic parameters of the intracellular space, and the initiating factor was the intrinsic emission of carcinogenic substances. The results of this study indicated that non-chemical factors influenced the mitochondrial poly-enzyme system and confirmed the importance of the non-chemical effect of a carcinogen on bio-objects by examining respiration and phosphorylation of isolated mouse liver mitochondria at various times after the subcutaneous injection of DMBA.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87050815","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}
This study investigated the effects of chemical carcinogenesis induced by 7, 12-dimethylbenz (α) anthracene (DMBA) in mice. The respiratory activity of isolated mitochondria in mouse livers was investigated at various times after the subcutaneous administration of DMBA. Our findings indicated that DMBA derivatives did not exhibit damaging effects on mitochondrial membranes. On the contrary, they showed a stimulating effect on the phosphorylation process compared with the control. This paper discusses the possible role of coherent electromagnetic radiation in biological systems. Additionally, data on the non-chemical interactions between isolated mitochondria and the material (plexiglass and quartz) of the incubation cells were considered. Carcinogenesis was previously considered an exclusive process of biochemical and genetic disorders. However, recent studies have increasingly focused on the physical aspects of carcinogenesis, such as the influence of various wavelengths of electromagnetic radiation on biological systems, the special energy organization of the intracellular space associated with the architectonics of mitochondria and microtubules, and the generation of coherent electromagnetic waves. It was assumed that the biological features of the malignant cells were due to the violation of the electrodynamic parameters of the intracellular space, and the initiating factor was the intrinsic emission of carcinogenic substances. The results of this study indicated that non-chemical factors influenced the mitochondrial poly-enzyme system and confirmed the importance of the non-chemical effect of a carcinogen on bio-objects by examining respiration and phosphorylation of isolated mouse liver mitochondria at various times after the subcutaneous injection of DMBA.
{"title":"Physical Aspects of Chemical Carcinogenesis","authors":"","doi":"10.33140/jeee.02.03.11","DOIUrl":"https://doi.org/10.33140/jeee.02.03.11","url":null,"abstract":"This study investigated the effects of chemical carcinogenesis induced by 7, 12-dimethylbenz (α) anthracene (DMBA) in mice. The respiratory activity of isolated mitochondria in mouse livers was investigated at various times after the subcutaneous administration of DMBA. Our findings indicated that DMBA derivatives did not exhibit damaging effects on mitochondrial membranes. On the contrary, they showed a stimulating effect on the phosphorylation process compared with the control. This paper discusses the possible role of coherent electromagnetic radiation in biological systems. Additionally, data on the non-chemical interactions between isolated mitochondria and the material (plexiglass and quartz) of the incubation cells were considered. Carcinogenesis was previously considered an exclusive process of biochemical and genetic disorders. However, recent studies have increasingly focused on the physical aspects of carcinogenesis, such as the influence of various wavelengths of electromagnetic radiation on biological systems, the special energy organization of the intracellular space associated with the architectonics of mitochondria and microtubules, and the generation of coherent electromagnetic waves. It was assumed that the biological features of the malignant cells were due to the violation of the electrodynamic parameters of the intracellular space, and the initiating factor was the intrinsic emission of carcinogenic substances. The results of this study indicated that non-chemical factors influenced the mitochondrial poly-enzyme system and confirmed the importance of the non-chemical effect of a carcinogen on bio-objects by examining respiration and phosphorylation of isolated mouse liver mitochondria at various times after the subcutaneous injection of DMBA.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135717730","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}
Wangping Sun1, Jianchu Yao2, Senior Member Jianchu Yao
ABET accreditation is a rigorous and demanding process that requires substantial institutional effort when evaluating engineering and technology programs. This evaluation process comprises numerous intricate and time-consuming steps, often demanding years of prior experience. This study aims to explore the potential of artificial intelligence tools, particularly ChatGPT, in enhancing the efficiency of ABET accreditation preparation. The authors conducted a series of experiments to assess the applicability of this tool across various stages of the ABET accreditation process. These stages included comprehending ABET procedures, assisting in the compilation and editing of ABET documentation, providing proactive suggestions, conducting diagnostic reviews of the due process response, generating action plans to address accreditation deficiencies, and proposing training plans for specific ABET criteria. The outcomes of these preliminary investigations demonstrated that leveraging artificial intelligence tools can significantly enhance the quality and efficiency of ABET accreditation preparation. However, it is crucial to acknowledge that incorporating AI tools in the accreditation process raises concerns about data security, and these considerations must be duly addressed.
{"title":"Exploring the Potential Application of Artificial Intelligence Tools in Preparing For ABET Accreditation","authors":"Wangping Sun1, Jianchu Yao2, Senior Member Jianchu Yao","doi":"10.33140/jeee.02.03.08","DOIUrl":"https://doi.org/10.33140/jeee.02.03.08","url":null,"abstract":"ABET accreditation is a rigorous and demanding process that requires substantial institutional effort when evaluating engineering and technology programs. This evaluation process comprises numerous intricate and time-consuming steps, often demanding years of prior experience. This study aims to explore the potential of artificial intelligence tools, particularly ChatGPT, in enhancing the efficiency of ABET accreditation preparation. The authors conducted a series of experiments to assess the applicability of this tool across various stages of the ABET accreditation process. These stages included comprehending ABET procedures, assisting in the compilation and editing of ABET documentation, providing proactive suggestions, conducting diagnostic reviews of the due process response, generating action plans to address accreditation deficiencies, and proposing training plans for specific ABET criteria. The outcomes of these preliminary investigations demonstrated that leveraging artificial intelligence tools can significantly enhance the quality and efficiency of ABET accreditation preparation. However, it is crucial to acknowledge that incorporating AI tools in the accreditation process raises concerns about data security, and these considerations must be duly addressed.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":"125 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77104428","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}
How energy is consumed as part of a lifestyle has attracted a lot of attention. Energy consumption, like other socio-economic phenomena, is influenced by various factors. The current paper aims at identifying the factors affecting the attitude towards households’ energy consumption in Iran (Mashhad). In recent decades, energy consumption has become one of the major urban issues with the growth of urban population, increasing. Mashhad is also one of the metropolises of Iran that according to statistics has a high consumption. Thus, the current paper was conducted quantitatively through a questionnaire with a sample of 540 households using cluster sampling method. The results showed that independent variables explained the variance of the dependent variable by 21.5%. Other results showed that the variables of religiosity, social inequality, environmental knowledge and social comparison directly affect household energy consumption and the variable of mass media use indirectly affected energy consumption by affecting social inequality.
{"title":"Sociological Explanation of Factors Affecting Households Energy Consumption in Iran","authors":"Batoul Mahmoud, Molaei Kermani1, Mahdi Kolahi3 Hossein Mirzaei2, Mahdi Kermani4, Ph.D Molaei Kermani","doi":"10.33140/jeee.02.03.07","DOIUrl":"https://doi.org/10.33140/jeee.02.03.07","url":null,"abstract":"How energy is consumed as part of a lifestyle has attracted a lot of attention. Energy consumption, like other socio-economic phenomena, is influenced by various factors. The current paper aims at identifying the factors affecting the attitude towards households’ energy consumption in Iran (Mashhad). In recent decades, energy consumption has become one of the major urban issues with the growth of urban population, increasing. Mashhad is also one of the metropolises of Iran that according to statistics has a high consumption. Thus, the current paper was conducted quantitatively through a questionnaire with a sample of 540 households using cluster sampling method. The results showed that independent variables explained the variance of the dependent variable by 21.5%. Other results showed that the variables of religiosity, social inequality, environmental knowledge and social comparison directly affect household energy consumption and the variable of mass media use indirectly affected energy consumption by affecting social inequality.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":"315 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77780436","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}
With the continuous expansion of unmanned aerial vehicle (UAV) applications, traditional inertial navigation technology exhibits significant limitations in complex environments. In this study, we integrate improved reinforcement learning (RL) algorithms to enhance existing unmanned aerial vehicle inertial navigation technology and introduce a modulated mechanism (MM) for adjusting the state of the intelligent agent in an innovative manner [1,2]. Through interaction with the environment, the intelligent machine can learn more effective navigation strategies [3]. The ultimate goal is to provide a foundation for autonomous navigation of unmanned aerial vehicles during flight and improve navigation accuracy and robustness. We first define appropriate state representation and action space, and then design an adjustment mechanism based on the actions selected by the intelligent agent. The adjustment mechanism outputs the next state and reward value of the agent. Additionally, the adjustment mechanism calculates the error between the adjusted state and the unadjusted state. Furthermore, the intelligent agent stores the acquired experience samples containing states and reward values in a buffer and replays the experiences during each iteration to learn the dynamic characteristics of the environment. We name the improved algorithm as the DQM algorithm. Experimental results demonstrate that the intelligent agent using our proposed algorithm effectively reduces the accumulated errors of inertial navigation in dynamic environments. Although our research provides a basis for achieving autonomous navigation of unmanned aerial vehicles, there is still room for significant optimization. Further research can include testing unmanned aerial vehicles in simulated environments, testing unmanned aerial vehicles in realworld environments, optimizing the design of reward functions, improving the algorithm workflow to enhance convergence speed and performance, and enhancing the algorithm's generalization ability. It has been proven that by integrating reinforcement learning algorithms, unmanned aerial vehicles can achieve autonomous navigation, thereby improving navigation accuracy and robustness in dynamic and changing environments [4]. Therefore, this research plays an important role in promoting the development and application of unmanned aerial vehicle technology.
{"title":"Research on Inertial Navigation Technology of Unmanned Aerial Vehicles with Integrated Reinforcement Learning Algorithm","authors":"","doi":"10.33140/jeee.02.03.06","DOIUrl":"https://doi.org/10.33140/jeee.02.03.06","url":null,"abstract":"With the continuous expansion of unmanned aerial vehicle (UAV) applications, traditional inertial navigation technology exhibits significant limitations in complex environments. In this study, we integrate improved reinforcement learning (RL) algorithms to enhance existing unmanned aerial vehicle inertial navigation technology and introduce a modulated mechanism (MM) for adjusting the state of the intelligent agent in an innovative manner [1,2]. Through interaction with the environment, the intelligent machine can learn more effective navigation strategies [3]. The ultimate goal is to provide a foundation for autonomous navigation of unmanned aerial vehicles during flight and improve navigation accuracy and robustness. We first define appropriate state representation and action space, and then design an adjustment mechanism based on the actions selected by the intelligent agent. The adjustment mechanism outputs the next state and reward value of the agent. Additionally, the adjustment mechanism calculates the error between the adjusted state and the unadjusted state. Furthermore, the intelligent agent stores the acquired experience samples containing states and reward values in a buffer and replays the experiences during each iteration to learn the dynamic characteristics of the environment. We name the improved algorithm as the DQM algorithm. Experimental results demonstrate that the intelligent agent using our proposed algorithm effectively reduces the accumulated errors of inertial navigation in dynamic environments. Although our research provides a basis for achieving autonomous navigation of unmanned aerial vehicles, there is still room for significant optimization. Further research can include testing unmanned aerial vehicles in simulated environments, testing unmanned aerial vehicles in realworld environments, optimizing the design of reward functions, improving the algorithm workflow to enhance convergence speed and performance, and enhancing the algorithm's generalization ability. It has been proven that by integrating reinforcement learning algorithms, unmanned aerial vehicles can achieve autonomous navigation, thereby improving navigation accuracy and robustness in dynamic and changing environments [4]. Therefore, this research plays an important role in promoting the development and application of unmanned aerial vehicle technology.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135065408","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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