Pub Date : 2022-10-18DOI: 10.37256/jeee.1120222040
Hang Gao, Russell Li
Electrical engineering is a field of engineering that focuses on electricity and electronics, from microscopic computer components to large-scale electrical networks. It has been a key aspect of human advancement for centuries. Universal Wiser Publisher [1] is pleased to announce the launch of a new journal—Journal of Electronics and Electrical Engineering [2].
{"title":"Publisher's Note: Journal of Electronics and Electrical Engineering—A New Open Access Journal","authors":"Hang Gao, Russell Li","doi":"10.37256/jeee.1120222040","DOIUrl":"https://doi.org/10.37256/jeee.1120222040","url":null,"abstract":"Electrical engineering is a field of engineering that focuses on electricity and electronics, from microscopic computer components to large-scale electrical networks. It has been a key aspect of human advancement for centuries. Universal Wiser Publisher [1] is pleased to announce the launch of a new journal—Journal of Electronics and Electrical Engineering [2].","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85925344","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}
Primary rare earth element (REE) minerals known as carbonate and phosphate were identified in some localities. The carbonate type consists mainly of parasite, allanite, and bastnaesite, while REE phosphate group comprises mainly monazite and xenotime. They are accompanied by thorite and zircon. REE-bearing quartz vein is associated with cassiterite, pyrite, chalcopyrite, sphalerite, and tourmaline. The hydrothermal fluid that plays a role in REE mineral precipitation is subdivided into three stages: early (> 316oC - 316oC), medium (< 316oC – 210oC), and late (<210oC190oC). The δ18O range which is 12, 7 ‰ – 13 ‰, and the δ34S range are 3, 9 ‰ – 5, 5 ‰ indicate that the origin of hydrothermal fluid comes from mixing fluids of both meteoric and magmatic sources, and also influenced by metamorphic waters. While the source of sulphur is granitic and sedimentary rocks. REE phosphate is thought to have formed in the early magmatic crystallization stage except for monazite formed in the medium magmatic-hydrothermal and late hydrothermal stages. Primary REE carbonate may have formed in a medium hydrothermal-magmatic stage except for parasite and allanite, they may have formed in late-stage hydrothermal. Chalcopyrite and sphalerite seem to be associated with REE minerals in the medium and late hydrothermal stages.
{"title":"The Occurrence of Primary REE Minerals and Their Para genesis within S-Type Granite and Quartz Vein, South Bangka, Bangka Belitung Islands, Indonesia","authors":"A. Tampubolon","doi":"10.33140/jeee.01.01.06","DOIUrl":"https://doi.org/10.33140/jeee.01.01.06","url":null,"abstract":"Primary rare earth element (REE) minerals known as carbonate and phosphate were identified in some localities. The carbonate type consists mainly of parasite, allanite, and bastnaesite, while REE phosphate group comprises mainly monazite and xenotime. They are accompanied by thorite and zircon. REE-bearing quartz vein is associated with cassiterite, pyrite, chalcopyrite, sphalerite, and tourmaline. The hydrothermal fluid that plays a role in REE mineral precipitation is subdivided into three stages: early (> 316oC - 316oC), medium (< 316oC – 210oC), and late (<210oC190oC). The δ18O range which is 12, 7 ‰ – 13 ‰, and the δ34S range are 3, 9 ‰ – 5, 5 ‰ indicate that the origin of hydrothermal fluid comes from mixing fluids of both meteoric and magmatic sources, and also influenced by metamorphic waters. While the source of sulphur is granitic and sedimentary rocks. REE phosphate is thought to have formed in the early magmatic crystallization stage except for monazite formed in the medium magmatic-hydrothermal and late hydrothermal stages. Primary REE carbonate may have formed in a medium hydrothermal-magmatic stage except for parasite and allanite, they may have formed in late-stage hydrothermal. Chalcopyrite and sphalerite seem to be associated with REE minerals in the medium and late hydrothermal stages.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89410523","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}
In this study, the effect of copper concentration was investigated on phase structure, morphology, and mechanical properties of Ni-Zn-Cu alloys coating. Ternary Ni-Zn-Cu alloys were prepared and deposited on a mild steel substrate by electrochemical deposition method. Four different baths were prepared by varying Cu concentration. The deposition was carried out for 20 min with constant current density of 20 mAcm-2 with pH of 3 under constant magnetic field of 4.5 mT to make the coating smooth. Crystal structure, surface morphology, hardness and mechanical properties of investigated alloy coatings were characterized. The results showed that crystal structure of the all the deposited alloys is face centered cubic. The lattice parameter is decreasing and morphology of the alloys changes from large nodules to smaller nodules with the increase in Cu concentration. Mechanical properties of substrate are improved by deposition of Ni-Zn-Cu alloys and thus mild steel will become more applicable in tooling, construction and transportation industries.
{"title":"Improvement in Properties of Mild Steel by Electrodeposition of Ni-Zn-Cu Alloys at Different Cu Contents","authors":"","doi":"10.33140/jeee.01.01.07","DOIUrl":"https://doi.org/10.33140/jeee.01.01.07","url":null,"abstract":"In this study, the effect of copper concentration was investigated on phase structure, morphology, and mechanical properties of Ni-Zn-Cu alloys coating. Ternary Ni-Zn-Cu alloys were prepared and deposited on a mild steel substrate by electrochemical deposition method. Four different baths were prepared by varying Cu concentration. The deposition was carried out for 20 min with constant current density of 20 mAcm-2 with pH of 3 under constant magnetic field of 4.5 mT to make the coating smooth. Crystal structure, surface morphology, hardness and mechanical properties of investigated alloy coatings were characterized. The results showed that crystal structure of the all the deposited alloys is face centered cubic. The lattice parameter is decreasing and morphology of the alloys changes from large nodules to smaller nodules with the increase in Cu concentration. Mechanical properties of substrate are improved by deposition of Ni-Zn-Cu alloys and thus mild steel will become more applicable in tooling, construction and transportation industries.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73625627","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}
The steganography algorithms based on media type, format and capacity are used for different applications. The use of cryptographic algorithms also depends on the type of application. The challenge that can be investigated is the use of cryptographic algorithms in the steganography process, which must be properly scrutinized due to the special sensitivities of these two technologies. The use of cryptographic algorithms in steganographic systems increases the security of hidden data, but this security level should not make the entropy more visible and did not consider other metric. For this reason, in this paper, two steganographic algorithms for JPEG image and two steganographic algorithms for audio in WAV format are investigated, so that before the steganographic operation, a cryptography algorithm is used to encrypt the message. In the following, after reviewing the steganographic algorithms using several valid steganalysis, the advantages of using and not using these cryptographic algorithms against their disadvantages are reviewed and suggestions about their use in steganography algorithms and systems are presented.
{"title":"Analysis of Cryptography before Steganography Operation by ROC Curves and Confusion Matrices Criteria","authors":"","doi":"10.33140/jeee.01.01.05","DOIUrl":"https://doi.org/10.33140/jeee.01.01.05","url":null,"abstract":"The steganography algorithms based on media type, format and capacity are used for different applications. The use of cryptographic algorithms also depends on the type of application. The challenge that can be investigated is the use of cryptographic algorithms in the steganography process, which must be properly scrutinized due to the special sensitivities of these two technologies. The use of cryptographic algorithms in steganographic systems increases the security of hidden data, but this security level should not make the entropy more visible and did not consider other metric. For this reason, in this paper, two steganographic algorithms for JPEG image and two steganographic algorithms for audio in WAV format are investigated, so that before the steganographic operation, a cryptography algorithm is used to encrypt the message. In the following, after reviewing the steganographic algorithms using several valid steganalysis, the advantages of using and not using these cryptographic algorithms against their disadvantages are reviewed and suggestions about their use in steganography algorithms and systems are presented.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79735014","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}
The transportation problem (TP) is a well-known subject in the field of optimization and a very prevalent challenge for businesspeople. The goal is to reduce the total transportation cost, of delivering resources from sources to destinations. The literature demonstrates that various approaches have been designed with a single goal in mind, although TPs are not always developed with a bi-goal in mind. Solving transportation difficulties with several objectives is a common task. In this study, a new method for addressing multi-criteria TP using geometric means, along with a novel approach of the Ant Colony Optimization algorithm (ACO) for solving multi-objective TP in a fuzzy environment. Fuzzy numbers have been used to solve real-world problems in various domains, including operations research and optimization. The ACO Algorithm has long been recognized as a viable alternative strategy for solving optimization problems. The purpose of this study is to provide a unique approach for organizing fuzzy numbers as well as enhancements to the ACO algorithm for solving the Multi-Objective TP model. Our method, such as Geometric Mean Ant Colony Optimization Algorithm (GMACOA), outperforms other methods in terms of objective values. Numerical examples are provided to demonstrate the method in comparison to various current methods.
{"title":"Geometric Mean Method Combined With Ant Colony Optimization Algorithm to Solve Multi-Objective Transportation Problems in Fuzzy Environments","authors":"","doi":"10.33140/jeee.01.01.04","DOIUrl":"https://doi.org/10.33140/jeee.01.01.04","url":null,"abstract":"The transportation problem (TP) is a well-known subject in the field of optimization and a very prevalent challenge for businesspeople. The goal is to reduce the total transportation cost, of delivering resources from sources to destinations. The literature demonstrates that various approaches have been designed with a single goal in mind, although TPs are not always developed with a bi-goal in mind. Solving transportation difficulties with several objectives is a common task. In this study, a new method for addressing multi-criteria TP using geometric means, along with a novel approach of the Ant Colony Optimization algorithm (ACO) for solving multi-objective TP in a fuzzy environment. Fuzzy numbers have been used to solve real-world problems in various domains, including operations research and optimization. The ACO Algorithm has long been recognized as a viable alternative strategy for solving optimization problems. The purpose of this study is to provide a unique approach for organizing fuzzy numbers as well as enhancements to the ACO algorithm for solving the Multi-Objective TP model. Our method, such as Geometric Mean Ant Colony Optimization Algorithm (GMACOA), outperforms other methods in terms of objective values. Numerical examples are provided to demonstrate the method in comparison to various current methods.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83982989","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}
Unscientific waste management is increasingly becoming a major reason for environmental issues in Indian cities. Unlike previous municipal solid waste management in cities of Punjab (India), this study analyses the implementation of solid waste management. Also, examine the factors responsible for the dysfunction of the municipal corporation of Dinanagar (MCD) city of Punjab (India). To fulfil the research objectives, primary and secondary data are collected from various sources for qualitative and quantitative analysis. However, some drawbacks and flaws were found in the existing practices of Municipal Solid Waste Management. The internal consistency and validity are measured using Cronbach’s alpha. The importance- performance analysis and Strengths, Weaknesses, Opportunities, Threats analysis is performed to conclude the present scenario of MCD. This study is eventually concluded with some suggestions to waste managing authorities and researchers for contribution in improvement of current system.
{"title":"Implementation Analysis of Municipal Solid Waste Management in Dinanagar City of Punjab, India","authors":"","doi":"10.33140/jeee.01.01.08","DOIUrl":"https://doi.org/10.33140/jeee.01.01.08","url":null,"abstract":"Unscientific waste management is increasingly becoming a major reason for environmental issues in Indian cities. Unlike previous municipal solid waste management in cities of Punjab (India), this study analyses the implementation of solid waste management. Also, examine the factors responsible for the dysfunction of the municipal corporation of Dinanagar (MCD) city of Punjab (India). To fulfil the research objectives, primary and secondary data are collected from various sources for qualitative and quantitative analysis. However, some drawbacks and flaws were found in the existing practices of Municipal Solid Waste Management. The internal consistency and validity are measured using Cronbach’s alpha. The importance- performance analysis and Strengths, Weaknesses, Opportunities, Threats analysis is performed to conclude the present scenario of MCD. This study is eventually concluded with some suggestions to waste managing authorities and researchers for contribution in improvement of current system.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83078175","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}
Land degradation is an increasing problem in many parts of the world. Success in fighting land degradation requires an improved understanding of its causes, impact, degree and acquaintance with climate, soil, water, land cover and socio-economic factors. The present study aimed to assess the advanced of Remote Sensing (RS) and Geographic Information System (GIS) to quantify land degradation risk in Adea woreda. Remotely sensed data provide timely, accurate and reliable information on degraded lands at certain time intervals in a cost-effective method. This paper presents the effect of land-use changes on land degradation by utilization of remote sensing and GIS methods due to un wise agriculture and urbanization activities in the period 2000–2022. The analysis is based on the processing of Landsat 7 and Landsat OLI 8 satellite images from 2000 and 2022. In the analysis of satellite images, the supervised classification maximum likelihood method was used. The study demonstrated that about 42.77 % of the study area has undergone very high risk of degradation, whereas 44.26% of the area has undergone moderate degradation. About 12.50% of the total area was characterized by marginally degraded. The results indicated that the salinity, alkalinity and water logging are the main common degradation hazards of the Adea woreda.
在世界许多地方，土地退化是一个日益严重的问题。要成功地防治土地退化，就必须更好地了解其原因、影响、程度，并熟悉气候、土壤、水、土地覆盖和社会经济因素。本研究旨在评估遥感(RS)和地理信息系统(GIS)在亚洲土地退化风险量化方面的进展。遥感数据以一种成本效益高的方法，每隔一定时间间隔提供有关退化土地的及时、准确和可靠的信息。本文利用遥感和GIS方法，分析了2000-2022年不明智的农业和城市化活动对土地利用变化的影响。该分析基于对2000年和2022年Landsat 7和Landsat OLI 8卫星图像的处理。在卫星图像的分析中，采用了监督分类极大似然方法。研究表明，42.77%的研究区发生了非常高的退化风险，44.26%的研究区发生了中度退化。约12.50%的面积处于边缘退化状态。结果表明，盐碱度、碱度和淹水是水藻常见的主要退化危害。
{"title":"GIS and Remote Sensing Based Land Degradation Assessment and Mapping: Case Study Adea Woreda","authors":"","doi":"10.33140/jeee.01.01.02","DOIUrl":"https://doi.org/10.33140/jeee.01.01.02","url":null,"abstract":"Land degradation is an increasing problem in many parts of the world. Success in fighting land degradation requires an improved understanding of its causes, impact, degree and acquaintance with climate, soil, water, land cover and socio-economic factors. The present study aimed to assess the advanced of Remote Sensing (RS) and Geographic Information System (GIS) to quantify land degradation risk in Adea woreda. Remotely sensed data provide timely, accurate and reliable information on degraded lands at certain time intervals in a cost-effective method. This paper presents the effect of land-use changes on land degradation by utilization of remote sensing and GIS methods due to un wise agriculture and urbanization activities in the period 2000–2022. The analysis is based on the processing of Landsat 7 and Landsat OLI 8 satellite images from 2000 and 2022. In the analysis of satellite images, the supervised classification maximum likelihood method was used. The study demonstrated that about 42.77 % of the study area has undergone very high risk of degradation, whereas 44.26% of the area has undergone moderate degradation. About 12.50% of the total area was characterized by marginally degraded. The results indicated that the salinity, alkalinity and water logging are the main common degradation hazards of the Adea woreda.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83985686","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}
The fundamental frequency feature is essential for Automatic Speech Recognition because its patterns convey a paralanguage and its tuning normalizes other speech features. Human speech is multidimensional because it is minimally represented by three variables: the intonation (or pitch), the formants (or timbre), and the speech resolution (or depth). These variables represent the hidden states of the local glottal variation, the vocal tract response, and the frequency scale, respectively. Computing them one by one is not as efficient as computing them together, so this article introduces a new speech feature extraction approach. The article is introductory; it focuses on the basic concepts of our new approach and does not elaborate on all applications. It demonstrates that the unit of a cepstral value, which is a spectral value of spectrums, is a unit of acceleration since its discrete variable, the quefrency, can be expressed in Hertz-per-microsecond. The article shows how to produce refined voice analysis from robust estimates and how to reconstruct speech signals from feature spaces. And it concludes that the pitch track of the new approach is as good as two open-source pitch extractors. Combining multiple processes, attenuating background noises, and enabling distant-speech recognition, we introduce the Speech Quefrency Transform (SQT) approach as well as multiple quefrency scales. SQT is a set of frequency transforms whose spectral leakages are controlled per a frequency-modulation model. SQT captures the stationarity of time series onto a hyperspace that resembles the cepstrogram when it is reduced for pitch track extraction.
{"title":"Multi-Dimensional Spectral Process for Cepstral Feature Engineering & Formant Coding","authors":"","doi":"10.33140/jeee.01.01.01","DOIUrl":"https://doi.org/10.33140/jeee.01.01.01","url":null,"abstract":"The fundamental frequency feature is essential for Automatic Speech Recognition because its patterns convey a paralanguage and its tuning normalizes other speech features. Human speech is multidimensional because it is minimally represented by three variables: the intonation (or pitch), the formants (or timbre), and the speech resolution (or depth). These variables represent the hidden states of the local glottal variation, the vocal tract response, and the frequency scale, respectively. Computing them one by one is not as efficient as computing them together, so this article introduces a new speech feature extraction approach. The article is introductory; it focuses on the basic concepts of our new approach and does not elaborate on all applications. It demonstrates that the unit of a cepstral value, which is a spectral value of spectrums, is a unit of acceleration since its discrete variable, the quefrency, can be expressed in Hertz-per-microsecond. The article shows how to produce refined voice analysis from robust estimates and how to reconstruct speech signals from feature spaces. And it concludes that the pitch track of the new approach is as good as two open-source pitch extractors. Combining multiple processes, attenuating background noises, and enabling distant-speech recognition, we introduce the Speech Quefrency Transform (SQT) approach as well as multiple quefrency scales. SQT is a set of frequency transforms whose spectral leakages are controlled per a frequency-modulation model. SQT captures the stationarity of time series onto a hyperspace that resembles the cepstrogram when it is reduced for pitch track extraction.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74561670","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}
The gamma-ray spectrometry using long run used hyper pure germanium (HPGe) detector needs a stringent full energy peak (FEP) efficiency calibration for environmental radioactivity measurements. The FEP efficiency calibration was carried out using the complementary methods like analytical estimations and Monte Carlo (MC) simulations. In our work, for the analytical estimations, the relative deviation of the theoretical results with that of experimental FEP efficiency was found to be less than 6%. However, in the case of MC methodologies, an overall estimated standard deviation of 5% could be achievable only with the optimized geometry of the long run used germanium detector for low-activity environmental measurements.
{"title":"Towards the Reliability Check of Complementary Methods for the Precise Estimation of Peak Efficiency of a Long Run Used Germanium Detector in Low Activity Environmental Measurements","authors":"","doi":"10.33140/jeee.01.01.03","DOIUrl":"https://doi.org/10.33140/jeee.01.01.03","url":null,"abstract":"The gamma-ray spectrometry using long run used hyper pure germanium (HPGe) detector needs a stringent full energy peak (FEP) efficiency calibration for environmental radioactivity measurements. The FEP efficiency calibration was carried out using the complementary methods like analytical estimations and Monte Carlo (MC) simulations. In our work, for the analytical estimations, the relative deviation of the theoretical results with that of experimental FEP efficiency was found to be less than 6%. However, in the case of MC methodologies, an overall estimated standard deviation of 5% could be achievable only with the optimized geometry of the long run used germanium detector for low-activity environmental measurements.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78053657","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}
In this work, a new and improved optimization approach that minimize the unit noise gain in state-space of digital filters is presented. The main idea is the formulation of the unit noise gain in the form of several variables function then can get the equivalent state-space by optimization method. From this new generalized matrix, a new state space is derived and guaranty the minimization of unit noise gain. From various simulations operated on different order digital filters, we show the superiority of the proposed Several Variables Function Optimization (SVFO) algorithm over existing method.
{"title":"A Novel Approach of Digital Filter Unit Noise Gain Minimization Based on Variable Function Optimization","authors":"","doi":"10.33140/jeee.01.01.09","DOIUrl":"https://doi.org/10.33140/jeee.01.01.09","url":null,"abstract":"In this work, a new and improved optimization approach that minimize the unit noise gain in state-space of digital filters is presented. The main idea is the formulation of the unit noise gain in the form of several variables function then can get the equivalent state-space by optimization method. From this new generalized matrix, a new state space is derived and guaranty the minimization of unit noise gain. From various simulations operated on different order digital filters, we show the superiority of the proposed Several Variables Function Optimization (SVFO) algorithm over existing method.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83365687","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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