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ELECTRICITY LOAD PROFILING FOR COASTAL HOUSING COMPLEXES BASED ON THE MEASUREMENTS OF FLATS ACTUAL LOAD 基于单位实际负荷测量的沿海住宅小区电力负荷分析
INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES Pub Date : 2020-12-30 DOI: 10.29284/IJASIS.6.2.2020.29-39
Salem A. S. Ahbil, H. Sherwali
{"title":"ELECTRICITY LOAD PROFILING FOR COASTAL HOUSING COMPLEXES BASED ON THE MEASUREMENTS OF FLATS ACTUAL LOAD","authors":"Salem A. S. Ahbil, H. Sherwali","doi":"10.29284/IJASIS.6.2.2020.29-39","DOIUrl":"https://doi.org/10.29284/IJASIS.6.2.2020.29-39","url":null,"abstract":"In this paper, a methodology for estimating end-use load shapes using the hourly whole-house metered load data, the household demographic survey data and the weather data (temperature) is presented. End use load shapes presents a method of generating realistic electricity load profile data for some of city of Tripoli domestic buildings. This method could help in predicting the daily load profile from individual flats to community. The results obtained show that the overall methodology provides an effective means for end-use load shape modeling and estimation.","PeriodicalId":411014,"journal":{"name":"INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES","volume":"29 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133688537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
OPTIMIZED MAXIMUM LOADABILITY OF POWER SYSTEMS USING AN ENHANCED DYNAMIC JAYA ALGORITHM 利用增强型动态jaya算法优化电力系统的最大负载能力
INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES Pub Date : 2020-12-30 DOI: 10.29284/IJASIS.6.2.2020.1-7
I. Farhat, Abdullah O. Hawal
{"title":"OPTIMIZED MAXIMUM LOADABILITY OF POWER SYSTEMS USING AN ENHANCED DYNAMIC JAYA ALGORITHM","authors":"I. Farhat, Abdullah O. Hawal","doi":"10.29284/IJASIS.6.2.2020.1-7","DOIUrl":"https://doi.org/10.29284/IJASIS.6.2.2020.1-7","url":null,"abstract":"The problem of Maximum Loadability of power systems is addressed in this paper using a proposed dynamic JAYA  algorithm. The maximum loadability problem is a typical optimization problem in which the maximum loadability point is to be determined optimally. Voltage stability of power systems is maintained by determining the estimated margin between the system operating point and the maximum loadability limit. The basic JAYA algorithm has been introduced to solve foremost optimization problems with small-scaled nature. However, when applied to large-scale, nonlinear and non-convex constrained problems, it showed a poor convergence characteristic. In order to deal with these weaknesses, the original algorithm has been improved by adding some dynamic features to its convergence behavior. The modified algorithm has been presented and validated when applied to well-known typical power systems. The obtained results were compared to the results achieved by other equivalent optimization techniques.","PeriodicalId":411014,"journal":{"name":"INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116960690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
SCARA ROBOT LINKS LENGTH OPTIMIZATION BY USING MATLAB AND VERIFICATION WITH SIMMECHANICS AND SOLIDWORKS 利用matlab对Scara机器人连杆长度进行优化，并用simmechanics和solidworks进行验证
INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES Pub Date : 2020-12-30 DOI: 10.29284/IJASIS.6.2.2020.8-19
Mustafa Mashali, MiftahAddeif, M. Embarak
{"title":"SCARA ROBOT LINKS LENGTH OPTIMIZATION BY USING MATLAB AND VERIFICATION WITH SIMMECHANICS AND SOLIDWORKS","authors":"Mustafa Mashali, MiftahAddeif, M. Embarak","doi":"10.29284/IJASIS.6.2.2020.8-19","DOIUrl":"https://doi.org/10.29284/IJASIS.6.2.2020.8-19","url":null,"abstract":"This paper aims for optimizing links length that consumed the minimum energy, for a customized Selective Compliant Assembly Robot Arm (SCARA) robot. Nine link length combinations are tested and simulated.  This research is a part of a project of designing a robotic arm for a packing task. Kinematic and dynamic studies are performed for a 2R robotic arm. The results of kinematic study which are angular displacement, angular velocity and angular acceleration for each joint are determined and exported to the dynamic study to obtain the torque and power consumed. The dynamic study is performed with the aid of MATLAB code, MATLAB/SimMechanics and Solidworks are used to simulate and analyze the dynamic of the robotic arm. The energy consumed for each link length combination using the three methods is calculated.","PeriodicalId":411014,"journal":{"name":"INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124988036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ENHANCEMENT OF VoIP PERFROMANCE IN MANET USING FUZZY LOGIC 用模糊逻辑增强无线网络中VoIP的性能
INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES Pub Date : 2020-12-30 DOI: 10.29284/IJASIS.6.2.2020.40-49
Abdusalam Yahya, A. Abdalla
{"title":"ENHANCEMENT OF VoIP PERFROMANCE IN MANET USING FUZZY LOGIC","authors":"Abdusalam Yahya, A. Abdalla","doi":"10.29284/IJASIS.6.2.2020.40-49","DOIUrl":"https://doi.org/10.29284/IJASIS.6.2.2020.40-49","url":null,"abstract":"Voiceover Internet Protocol (VoIP) application is a vital technology that is quickly growing in the Mobile Ad hoc NETwork (MANET). Packet loss is a factor that can significantly affect the Quality of Service (QoS) for VoIP performance. Due to the dynamic nature of MANET, it is a challenging task to maintain the desired packet loss rate. This paper aims to enhance the performance of VoIP in the MANET using a fuzzy logic model. The input for the model is VoIP packet loss and the outputs are the optimal parameters of MANET (node number, pause time, maximum speed, and maximum connection).Network Simulator (NS2) was used to perform all simulations. MATLAB was used to implement the proposed fuzzy model. Moreover, the performance of the model was evaluated using NS2, and the results show that our proposed fuzzy model offers a significant enhancement in terms of the VoIP packet loss rate (P.LR).","PeriodicalId":411014,"journal":{"name":"INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117324644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
IMAGE FUSION BASED LUNG NODULE DETECTION USING STRUCTURAL SIMILARITY AND MAX RULE 基于结构相似性和Max规则的图像融合肺结节检测
INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES Pub Date : 2019-06-28 DOI: 10.29284/ijasis.5.1.2019.29-35
R. Mohanapriya, P. Venkatesan
{"title":"IMAGE FUSION BASED LUNG NODULE DETECTION USING STRUCTURAL SIMILARITY AND MAX RULE","authors":"R. Mohanapriya, P. Venkatesan","doi":"10.29284/ijasis.5.1.2019.29-35","DOIUrl":"https://doi.org/10.29284/ijasis.5.1.2019.29-35","url":null,"abstract":"The uncontrollable cells in the lungs are the main cause of lung cancer that reduces the ability to breathe. In this study, fusion of Computed Tomography (CT) lung image and Positron Emission Tomography (PET) lung image using their structural similarity is presented. The fused image has more information compared to individual CT and PET lung images which helps radiologists to make decision quickly. Initially, the CT and PET images are divided into blocks of predefined size in an overlapping manner. The structural similarity between each block of CT and PET are computed for fusion. Image fusion is performed using a combination of structural similarity and MAX rule. If the structural similarity between CT and PET block is greater than a particular threshold, the MAX rule is applied; otherwise the pixel intensities in CT image are used. A simple thresholding approach is employed to detect the lung nodule from the fused image. The qualitative analyses show that the fusion approach provides more information with accurate detection of lung nodules.","PeriodicalId":411014,"journal":{"name":"INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125593937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
TEXTURE IMAGE CLASSIFICATION BY STATISTICAL FEATURES OF WAVELET 基于小波统计特征的纹理图像分类
INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES Pub Date : 2019-06-28 DOI: 10.29284/ijasis.5.1.2019.1-7
Dr. Emmanuel Kolog Awuni, S. N. O. Devine
{"title":"TEXTURE IMAGE CLASSIFICATION BY STATISTICAL FEATURES OF WAVELET","authors":"Dr. Emmanuel Kolog Awuni, S. N. O. Devine","doi":"10.29284/ijasis.5.1.2019.1-7","DOIUrl":"https://doi.org/10.29284/ijasis.5.1.2019.1-7","url":null,"abstract":"An unidentified image sample is assigned to a recognized texture class is known as Texture Classification (TC). The main challenging task in TC is the non uniformity changes in orientation, visual appearance and scale. Texture is an important feature in computer analysis for the purpose of classification. In this paper, an efficient TC system based on Discrete Wavelet Transform (DWT) is presented. The performance of the system is evaluated by Brodatz database. At first, the DWT is used to decompose the input texture image for feature extraction at a particular decomposition level. From each sub-band coefficients statistical features are extracted. Finally, k-Nearest Neighbour (kNN) classifier is used for classification. Results show that a better classification accuracy of 94.72% is achieved by the features of 3rd level DWT and kNN classifier.","PeriodicalId":411014,"journal":{"name":"INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123669695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
PHOTOVOLTAIC FED MULTILEVEL INVERTER DESIGN USING PODPWM TECHNIQUE FOR IMPROVED POWER QUALITY 采用podpwm技术设计光伏馈电多电平逆变器，提高电能质量
INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES Pub Date : 2019-06-28 DOI: 10.29284/ijasis.5.1.2019.8-14
N. Vijayalakshmi
{"title":"PHOTOVOLTAIC FED MULTILEVEL INVERTER DESIGN USING PODPWM TECHNIQUE FOR IMPROVED POWER QUALITY","authors":"N. Vijayalakshmi","doi":"10.29284/ijasis.5.1.2019.8-14","DOIUrl":"https://doi.org/10.29284/ijasis.5.1.2019.8-14","url":null,"abstract":"In this study, an efficient technique to improve and maintain the voltage levels of Cascaded H-Bridge Multi-Level Inverter (CHB-MLI) which utilizing PhotoVoltaic (PV) panel sources is presented. It is designed to make fifteen level output voltage and tested under the various levels of resistive loads. It produces staircase output with reduced component size, increases the output voltage level, reduces the voltage stress across the load/switches, reduces the Total Harmonic Distortion (THD) and increases the voltage gain. The switching pulses are generated using Phase Opposition Disposition (POD)Pulse Width Modulation (PWM) technique. It is modeled and simulated using SIMULINK graphical programming environment in MATLAB. Results prove that the system provides lower THD than conventional systems.","PeriodicalId":411014,"journal":{"name":"INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124015376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
ENERGY STORAGE IN BATTERY FOR REMOTE AREA USING WIND DFIG GENERATION 利用风力发电技术实现偏远地区电池储能
INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES Pub Date : 2019-06-28 DOI: 10.29284/ijasis.5.1.2019.22-28
M ArulPrasanna, P SoundarRajan, G Praveenraj
{"title":"ENERGY STORAGE IN BATTERY FOR REMOTE AREA USING WIND DFIG GENERATION","authors":"M ArulPrasanna, P SoundarRajan, G Praveenraj","doi":"10.29284/ijasis.5.1.2019.22-28","DOIUrl":"https://doi.org/10.29284/ijasis.5.1.2019.22-28","url":null,"abstract":"In this study, an efficient system is designed to maintain the Direct Current (DC) link voltage and improving voltage gain at remote side inverter using Hysteresis Controller (HC). The energy from wind is fed to the Remote Area Power Systems (RAPS). There is a need to control the changing frequency due to environmental changes in order to sustain the voltage at inverter side. It is achieved by the HC controller that provides control signals to inverter switches. The two-levels of Energy Storage System (ESS) are used as battery at source side and transformer at load side. The battery stores energy from the power converter stage through bi-directional converter where the energy flows in both forward and reverse direction. The frequency regulation based RAPS system is implemented using MATLAB/Simulink tool.","PeriodicalId":411014,"journal":{"name":"INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132154553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
AN INDUSTRIAL INSPECTION APPROACH FOR WELD DEFECTS USING MACHINE LEARNING ALGORITHM 基于机器学习算法的焊接缺陷工业检测方法
INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES Pub Date : 2019-06-28 DOI: 10.29284/ijasis.5.1.2019.15-21
K. Selvi, D. JohnAravindar
{"title":"AN INDUSTRIAL INSPECTION APPROACH FOR WELD DEFECTS USING MACHINE LEARNING ALGORITHM","authors":"K. Selvi, D. JohnAravindar","doi":"10.29284/ijasis.5.1.2019.15-21","DOIUrl":"https://doi.org/10.29284/ijasis.5.1.2019.15-21","url":null,"abstract":"The weld defects are formed due to the incorrect welding patterns or wrong welding process. The defects in the weld may vary from size, shape and their projected quality. The most common weld defects occur during welding process is slag inclusions, porosity, lack of fusion and incomplete penetration. In this study, an effective method for weld defect classification using machine learning algorithm is presented. The system uses Speeded-up Robust Features (SURF) for feature extraction and one of the machine learning algorithms called Auto-Encoder Classifier (AEC) for classification. Initially, the features that distinguish weld defects and no defects in the weld image are extracted by SURF. Then, AEC is analyzed for weld image classification using different number of neurons in different hidden layers (2 and 3 hidden layers). The performance of the system is evaluated by GD X-ray weld image database. The results show that the weld images are correctly classified with 98% accuracy using SURF and AEC.","PeriodicalId":411014,"journal":{"name":"INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130859907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
DESIGN OF FFT ARCHITECTURE USING KOGGE STONE ADDER 使用kogge石加法器的FFT结构设计
INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES Pub Date : 2018-12-28 DOI: 10.29284/ijasis.4.2.2018.8-15
Rambabu Nusullapalli, N. Vaishnavi
{"title":"DESIGN OF FFT ARCHITECTURE USING KOGGE STONE ADDER","authors":"Rambabu Nusullapalli, N. Vaishnavi","doi":"10.29284/ijasis.4.2.2018.8-15","DOIUrl":"https://doi.org/10.29284/ijasis.4.2.2018.8-15","url":null,"abstract":"An efficient Fast Fourier Transform (FFT) algorithm is used in the Orthogonal Frequency Division Multiplexing (OFDM) applications in order to compute the discrete Fourier transform. Also, a Single Path Delay Feedback (SDF) which is pipeline FFT architecture is used for faster performance to achieve high throughput. In conventional method, the FFT design has high delay and power due to time taken by the multiplication part. To decrease the delay, Kogge Stone Parallel Prefix Adder (KSPPA) is used with booth multiplier. As SDF is a simpler approach to realize FFT in different length, 64-point Radix-4 SDF-FFT algorithm using KSPPA in the booth multiplier is discussed in this study. The system is implemented in Xilinx 12.4 ISE and simulated using MODELSIM 6.3c. Results show that the system reduces the delay and power.","PeriodicalId":411014,"journal":{"name":"INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131106959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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