Pub Date : 2018-12-01DOI: 10.1109/SPC.2018.8704139
Aissa Mosbah, Musab A. M. Ali, Ibrahim Hizam Aljubari, Zunirah Mohd Talib, Sultan Rehman Sherief
The number of migrants with specialized skills and higher education has increased significantly since the 1990s. These migrants are very active in high-tech and engineering-intensive industries that rely heavily on knowledge, innovation and advanced systems and processes. This paper pieces together the literature on this group of people to brings to light their importance and contribution to host countries. We noted that by virtue of their specialized knowledge and contribution, the high-tech migrants are globally valued and may enjoy unique privileges. Their key contribution takes forms of: filling labour shortages, innovation and patents, business and jobs creation, creation of innovative products and services, competition and technology upgrading, and global expansion and export.
{"title":"Migrants in the High-Tech and Engineering Sectors: An Emerging Research Area","authors":"Aissa Mosbah, Musab A. M. Ali, Ibrahim Hizam Aljubari, Zunirah Mohd Talib, Sultan Rehman Sherief","doi":"10.1109/SPC.2018.8704139","DOIUrl":"https://doi.org/10.1109/SPC.2018.8704139","url":null,"abstract":"The number of migrants with specialized skills and higher education has increased significantly since the 1990s. These migrants are very active in high-tech and engineering-intensive industries that rely heavily on knowledge, innovation and advanced systems and processes. This paper pieces together the literature on this group of people to brings to light their importance and contribution to host countries. We noted that by virtue of their specialized knowledge and contribution, the high-tech migrants are globally valued and may enjoy unique privileges. Their key contribution takes forms of: filling labour shortages, innovation and patents, business and jobs creation, creation of innovative products and services, competition and technology upgrading, and global expansion and export.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122923631","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 : 2018-12-01DOI: 10.1109/SPC.2018.8703981
Hamid Imtiaz Toor, M. Imran, A. Ghafoor, M. Zeeshan, Abdul Rauf
Three techniques of model reduction of frequency limited Gramians based systems are being presented. The proposed techniques utilize mathematical treatment to preserve the stability of reduced order models of original systems and yield relatively less approximation error with respect to existing stability preserving techniques. Comparison with reduced-order model obtained from several existing techniques reveals the efficacy of proposed techniques.
{"title":"Improved Frequency Limited Model Reduction","authors":"Hamid Imtiaz Toor, M. Imran, A. Ghafoor, M. Zeeshan, Abdul Rauf","doi":"10.1109/SPC.2018.8703981","DOIUrl":"https://doi.org/10.1109/SPC.2018.8703981","url":null,"abstract":"Three techniques of model reduction of frequency limited Gramians based systems are being presented. The proposed techniques utilize mathematical treatment to preserve the stability of reduced order models of original systems and yield relatively less approximation error with respect to existing stability preserving techniques. Comparison with reduced-order model obtained from several existing techniques reveals the efficacy of proposed techniques.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124211049","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 : 2018-12-01DOI: 10.1109/SPC.2018.8704135
Purvashi Baynath, K. M. Sunjiv Soyjaudah, Maleika Heenaye-Mamode Khan
In this paper, the machine learning algorithms have been applied on distinct features of Keystroke Dynamics. The Machine learning is important to correctly authenticate an individual. In this work, the complex models and algorithms help to determine when the person is a genuine user or an imposter through learning. The algorithms that has been studied and deployed,are the Fuzzy Expert System (FESs), NeuroEvolution of the augmenting topology (NEAT), Proposed NeuroEvolution of the augmenting topology, Support Vector Machine (SVM) and Chaotic Neural Network. From the algorithms applied, the proposed NEAT algorithms performs better in terms of recognition rate on both databases used where the recognition rate achieved above 95.6%.
{"title":"Machine Learning Algorithm on Keystroke Dynamics Pattern","authors":"Purvashi Baynath, K. M. Sunjiv Soyjaudah, Maleika Heenaye-Mamode Khan","doi":"10.1109/SPC.2018.8704135","DOIUrl":"https://doi.org/10.1109/SPC.2018.8704135","url":null,"abstract":"In this paper, the machine learning algorithms have been applied on distinct features of Keystroke Dynamics. The Machine learning is important to correctly authenticate an individual. In this work, the complex models and algorithms help to determine when the person is a genuine user or an imposter through learning. The algorithms that has been studied and deployed,are the Fuzzy Expert System (FESs), NeuroEvolution of the augmenting topology (NEAT), Proposed NeuroEvolution of the augmenting topology, Support Vector Machine (SVM) and Chaotic Neural Network. From the algorithms applied, the proposed NEAT algorithms performs better in terms of recognition rate on both databases used where the recognition rate achieved above 95.6%.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115890983","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 : 2018-12-01DOI: 10.1109/SPC.2018.8704153
Zulfatman Has, Alwan Zanuar Rosyidi, I. Pakaya, N. Mardiyah, N. Nurhadi, M. Effendy
Frequency instability is one of the main problems in generating Micro-hydro Power Plant (MHPP) with synchronous generator. Governor control using Flow Valve Control (FVC) and Electronic Load Control (ELC) are the common methods that have been applied for MHPP frequency control. However, slow time response and relatively high total harmonic distortion (THD) problems are still exist in the system output when the load vary significantly. FVC is very slow in time response, but produce low THD. In the contrary, ELC very fast in response, but results relatively high THD. This study proposes control techniques for FVC and ELC in order to improve time response and to result a lower THD level. FCV is controlled by Fuzzy-Proportional Integral (Fuzzy-PI) controller to improve the time response, while ELC is improved by Adaptive Neuro Fuzzy Inference System-Proportional Integral Differentia (ANFIS-PID) controller to reduce the load variation effect on THD level. The ELC circuit employs 3 phase rectifier circuit. The ELC circuit is driving current through load bus to load ballast. These integrated controller is simulated by using Matlab Simulink. Results of simulation indicate that by deploying the proposed controller on the FVC and the ELC, respectively and by integrating them all together, the time response and the THD of the MHPP output are improved in the load changes.
{"title":"Integrated Frequency Control of Microhydro Power Plant Based Flow Valve Control and Electronic Load Controller","authors":"Zulfatman Has, Alwan Zanuar Rosyidi, I. Pakaya, N. Mardiyah, N. Nurhadi, M. Effendy","doi":"10.1109/SPC.2018.8704153","DOIUrl":"https://doi.org/10.1109/SPC.2018.8704153","url":null,"abstract":"Frequency instability is one of the main problems in generating Micro-hydro Power Plant (MHPP) with synchronous generator. Governor control using Flow Valve Control (FVC) and Electronic Load Control (ELC) are the common methods that have been applied for MHPP frequency control. However, slow time response and relatively high total harmonic distortion (THD) problems are still exist in the system output when the load vary significantly. FVC is very slow in time response, but produce low THD. In the contrary, ELC very fast in response, but results relatively high THD. This study proposes control techniques for FVC and ELC in order to improve time response and to result a lower THD level. FCV is controlled by Fuzzy-Proportional Integral (Fuzzy-PI) controller to improve the time response, while ELC is improved by Adaptive Neuro Fuzzy Inference System-Proportional Integral Differentia (ANFIS-PID) controller to reduce the load variation effect on THD level. The ELC circuit employs 3 phase rectifier circuit. The ELC circuit is driving current through load bus to load ballast. These integrated controller is simulated by using Matlab Simulink. Results of simulation indicate that by deploying the proposed controller on the FVC and the ELC, respectively and by integrating them all together, the time response and the THD of the MHPP output are improved in the load changes.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121869082","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 : 2018-12-01DOI: 10.1109/SPC.2018.8703982
M. H. Suid, M. Ahmad, M. Ismail, M. R. Ghazali, A. Irawan, M. Tumari
Due to its simplicity and less tedious parameter tuning over other multi-agent-based optimization algorithms, Sine Cosine Algorithm (SCA) has gotten lots of attention from numerous researchers for resolving optimization problem. However, the existing SCA tends to have low optimization precision and local minima trapping effect due to the constraint in its exploration and exploitation mechanism. To overcome this drawback, an extensive version of SCA named Improved Sine Cosine Algorithm (iSCA) has been proposed in this work. The main concept is to introduce a nonlinear control strategy to the existing SCA’s exploration and exploitation process in order to synthesize the algorithm’s strength. The efficiency of this suggested algorithm is assessed using 23 classical well-known benchmark functions and the results are then verified by a comparative study with several other algorithms namely Ant Lion Optimizer (ALO), Multi-verse Optimization (MVO), Spiral Dynamic Optimization Algorithm (SDA) and Sine Cosine Algorithm (SCA). Experimental results show that the iSCA is very competitive compared to the state-of-the-art meta-heuristic algorithms.
{"title":"An Improved Sine Cosine Algorithm for Solving Optimization Problems","authors":"M. H. Suid, M. Ahmad, M. Ismail, M. R. Ghazali, A. Irawan, M. Tumari","doi":"10.1109/SPC.2018.8703982","DOIUrl":"https://doi.org/10.1109/SPC.2018.8703982","url":null,"abstract":"Due to its simplicity and less tedious parameter tuning over other multi-agent-based optimization algorithms, Sine Cosine Algorithm (SCA) has gotten lots of attention from numerous researchers for resolving optimization problem. However, the existing SCA tends to have low optimization precision and local minima trapping effect due to the constraint in its exploration and exploitation mechanism. To overcome this drawback, an extensive version of SCA named Improved Sine Cosine Algorithm (iSCA) has been proposed in this work. The main concept is to introduce a nonlinear control strategy to the existing SCA’s exploration and exploitation process in order to synthesize the algorithm’s strength. The efficiency of this suggested algorithm is assessed using 23 classical well-known benchmark functions and the results are then verified by a comparative study with several other algorithms namely Ant Lion Optimizer (ALO), Multi-verse Optimization (MVO), Spiral Dynamic Optimization Algorithm (SDA) and Sine Cosine Algorithm (SCA). Experimental results show that the iSCA is very competitive compared to the state-of-the-art meta-heuristic algorithms.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122107288","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 : 2018-12-01DOI: 10.1109/SPC.2018.8704155
Allan Melvin Andrew, A. Y. Shakaff, Ammar Zakaria, R. Gunasagaran, E. Kanagaraj, S. M. Saad
Identification of burning smell is crucial because enables early fire recognition and avoidance. Based on this study, an early stage fire detection algorithm is offered via Probabilistic Neural Network (PNN). Experiments were conducted on seven generally accessible flammable materials and three building construction materials. All the materials were scorched in a vacuum oven at various temperature points, pushed out using vacuum pumps to be sniffed by the electronic nose. The experiments were done in a confined room with monitored temperature and humidity level. Standardised feature extractions of the smell print data were carried out prior to subjection of detection categorization. These aspects signify the odour pointers within the time frame. Experimental categorization outcomes indicate that the tuning of spread factor in PNN classifier has enhanced the precision of classification and delivered excellent reliability, irrespective of humidity variation and ambient temperature, the various gas concentration levels, exposure towards different heating temperature range and baseline sensor drift. The mean classification accuracy for this classification model has been identified at 94.18%.
{"title":"Early Stage Fire Source Classification in Building using Artificial Intelligence","authors":"Allan Melvin Andrew, A. Y. Shakaff, Ammar Zakaria, R. Gunasagaran, E. Kanagaraj, S. M. Saad","doi":"10.1109/SPC.2018.8704155","DOIUrl":"https://doi.org/10.1109/SPC.2018.8704155","url":null,"abstract":"Identification of burning smell is crucial because enables early fire recognition and avoidance. Based on this study, an early stage fire detection algorithm is offered via Probabilistic Neural Network (PNN). Experiments were conducted on seven generally accessible flammable materials and three building construction materials. All the materials were scorched in a vacuum oven at various temperature points, pushed out using vacuum pumps to be sniffed by the electronic nose. The experiments were done in a confined room with monitored temperature and humidity level. Standardised feature extractions of the smell print data were carried out prior to subjection of detection categorization. These aspects signify the odour pointers within the time frame. Experimental categorization outcomes indicate that the tuning of spread factor in PNN classifier has enhanced the precision of classification and delivered excellent reliability, irrespective of humidity variation and ambient temperature, the various gas concentration levels, exposure towards different heating temperature range and baseline sensor drift. The mean classification accuracy for this classification model has been identified at 94.18%.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124810307","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 : 2018-12-01DOI: 10.1109/SPC.2018.8704146
Harnani Hassan, F. Saad, Muhammad Suhaimi Mohd Raklan
The increase on amount of waste daily in Malaysia due to lack of waste management and enforcement by the government, has created unpleasant views of overflowed waste at the landfill. This paper presents the development of a low-cost recycle bin that automatically sorts different type of recycle waste using an Arduino microcontroller. The objectives of this work are to construct a recycle bin prototype with a sensing mechanism that is able to sort recycle waste (such as metal, paper and plastic) and automatically assign the waste to specific bin partition according to their types. This paper also presents the sensitivity analysis of the recycle bin prototype to sort the waste correctly. The construction of the recycle bin prototype is divided into two parts: i) sensing and ii) mechanical. The sensing part detects type of waste material such as metal, paper and plastic. The metal-based waste is detected using an inductive proximity sensor; while, for paper and plastic-based waste, a light emitting diode (LED) and a light dependent resistor (LDR) are utilized. The mechanical part assembled a servo motor together with the microcontroller to sort the waste type accordingly. The outcomes of this work show that the recycle bin prototype is able to sort the waste successfully especially the plastic waste and it is highly potential to be utilized in the future. However, the prototype sensitivity on paper and metal-based waste need to be further improved for an effective segregation of waste.
{"title":"A Low-Cost Automated Sorting Recycle Bin powered by Arduino Microcontroller","authors":"Harnani Hassan, F. Saad, Muhammad Suhaimi Mohd Raklan","doi":"10.1109/SPC.2018.8704146","DOIUrl":"https://doi.org/10.1109/SPC.2018.8704146","url":null,"abstract":"The increase on amount of waste daily in Malaysia due to lack of waste management and enforcement by the government, has created unpleasant views of overflowed waste at the landfill. This paper presents the development of a low-cost recycle bin that automatically sorts different type of recycle waste using an Arduino microcontroller. The objectives of this work are to construct a recycle bin prototype with a sensing mechanism that is able to sort recycle waste (such as metal, paper and plastic) and automatically assign the waste to specific bin partition according to their types. This paper also presents the sensitivity analysis of the recycle bin prototype to sort the waste correctly. The construction of the recycle bin prototype is divided into two parts: i) sensing and ii) mechanical. The sensing part detects type of waste material such as metal, paper and plastic. The metal-based waste is detected using an inductive proximity sensor; while, for paper and plastic-based waste, a light emitting diode (LED) and a light dependent resistor (LDR) are utilized. The mechanical part assembled a servo motor together with the microcontroller to sort the waste type accordingly. The outcomes of this work show that the recycle bin prototype is able to sort the waste successfully especially the plastic waste and it is highly potential to be utilized in the future. However, the prototype sensitivity on paper and metal-based waste need to be further improved for an effective segregation of waste.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116530627","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 : 2018-12-01DOI: 10.1109/SPC.2018.8703978
W. Wong, Su Wen Yu, C. Too
The process of software changes is complex and constantly needed to be monitored, controlled and tracked by a systematic approach or mechanism. For the past decades, organizations invested great amount of effort, money and resources in quality management system (QMS) to ensure software change control management (SCCM) and business operations are consistent, reliable and meeting customers’ needs. As such, it is important for every project team member to comply and adhere to change control standards following best practices maximizing business advantages, enhancing product quality, improving process routines and increases performance earnings. A formalized SCCM without compliance from project team is equivalence to "procedure on paper". This paper discusses the need of joined effort from both project manager and technical team in view of organizational level achievement in software quality assurance. At the same time, this paper provides a general overview of how software change control is carried out in the context of IT Project Management. A step-by-step project activity within system development life cycle (SDLC) and project life cycle (PLC) is discussed in the paper.
{"title":"A Systematic Approach to Software Quality Assurance: The Relationship of Project Activities within Project Life Cycle and System Development Life Cycle","authors":"W. Wong, Su Wen Yu, C. Too","doi":"10.1109/SPC.2018.8703978","DOIUrl":"https://doi.org/10.1109/SPC.2018.8703978","url":null,"abstract":"The process of software changes is complex and constantly needed to be monitored, controlled and tracked by a systematic approach or mechanism. For the past decades, organizations invested great amount of effort, money and resources in quality management system (QMS) to ensure software change control management (SCCM) and business operations are consistent, reliable and meeting customers’ needs. As such, it is important for every project team member to comply and adhere to change control standards following best practices maximizing business advantages, enhancing product quality, improving process routines and increases performance earnings. A formalized SCCM without compliance from project team is equivalence to \"procedure on paper\". This paper discusses the need of joined effort from both project manager and technical team in view of organizational level achievement in software quality assurance. At the same time, this paper provides a general overview of how software change control is carried out in the context of IT Project Management. A step-by-step project activity within system development life cycle (SDLC) and project life cycle (PLC) is discussed in the paper.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131748760","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 : 2018-12-01DOI: 10.1109/SPC.2018.8704159
Z. Chaher, H. Benseghir, A. Ibrahim, M. Kabir
Construction industry involves complex and challenging process associated with the risk of injury, death and property loss. Experts from different departments work together to develop a good management system in order to successfully complete a construction project. This paper presents a model of risk analysis using fuzzy logic to assess the risk involved in construction projects. The uncertainties related to cost, time and quality in the project is handled by the fuzzy logic that is one of the methods dealing with uncertainties in risk analysis. The model was validated using a real project. The test results demonstrated the plausibility of the model for the risk analysis in a real scenario. Using this model, one can prioritize and rank all risk factors in a construction project. Thus, the project managers and leaders can appropriately take precautions to avoid the risk. The proposed model of fuzzy-based risk analysis simplifies the risk management process, which helps the decision makers and the experts to monitor and to control the project, and ultimately, to meet the satisfaction of stakeholders.
{"title":"A Fuzzy-based Risk Model for Construction Project Management","authors":"Z. Chaher, H. Benseghir, A. Ibrahim, M. Kabir","doi":"10.1109/SPC.2018.8704159","DOIUrl":"https://doi.org/10.1109/SPC.2018.8704159","url":null,"abstract":"Construction industry involves complex and challenging process associated with the risk of injury, death and property loss. Experts from different departments work together to develop a good management system in order to successfully complete a construction project. This paper presents a model of risk analysis using fuzzy logic to assess the risk involved in construction projects. The uncertainties related to cost, time and quality in the project is handled by the fuzzy logic that is one of the methods dealing with uncertainties in risk analysis. The model was validated using a real project. The test results demonstrated the plausibility of the model for the risk analysis in a real scenario. Using this model, one can prioritize and rank all risk factors in a construction project. Thus, the project managers and leaders can appropriately take precautions to avoid the risk. The proposed model of fuzzy-based risk analysis simplifies the risk management process, which helps the decision makers and the experts to monitor and to control the project, and ultimately, to meet the satisfaction of stakeholders.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123846892","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 : 2018-12-01DOI: 10.1109/SPC.2018.8704149
Anis Farihan Mat Raffei, H. Asmuni, Rohayanti Hassan, R. Othman
The low resolution iris images in non-cooperative environment has resultant in failure to determine the eye center, limbic and pupillary boundary of the iris segmentation. Hence, a combination with periocular area is suggested to improve the accuracy of the recognition system. However, the existing periocular features extraction methods to extract the texture features can be easily affected by a background complication and depends on image size and orientation. Although some of the existing studies have combined the texture and colour features to increase the accuracy of periocular recognition, still, the method of colour feature extraction is limited to spatial information and quantization effects. This paper presents the analysis of texture and colour based features of periocular for low resolution colour iris images. Two datasets: UBIRIS.v2 and UBIPr are used and the proposed method provides robust discriminative structure features and sufficient spatial information which has increased the discriminating power.
{"title":"Analysis on Texture and Colour Based Features of Periocular for Low Resolution Colour Iris Images","authors":"Anis Farihan Mat Raffei, H. Asmuni, Rohayanti Hassan, R. Othman","doi":"10.1109/SPC.2018.8704149","DOIUrl":"https://doi.org/10.1109/SPC.2018.8704149","url":null,"abstract":"The low resolution iris images in non-cooperative environment has resultant in failure to determine the eye center, limbic and pupillary boundary of the iris segmentation. Hence, a combination with periocular area is suggested to improve the accuracy of the recognition system. However, the existing periocular features extraction methods to extract the texture features can be easily affected by a background complication and depends on image size and orientation. Although some of the existing studies have combined the texture and colour features to increase the accuracy of periocular recognition, still, the method of colour feature extraction is limited to spatial information and quantization effects. This paper presents the analysis of texture and colour based features of periocular for low resolution colour iris images. Two datasets: UBIRIS.v2 and UBIPr are used and the proposed method provides robust discriminative structure features and sufficient spatial information which has increased the discriminating power.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116460031","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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