Pub Date : 2021-11-06DOI: 10.1109/ICSET53708.2021.9612530
M. E. Sadiq, A. Humaidi, S. Kadhim, Abdulkareem Sh. Mahdi, A. Alkhayyat, I. Ibraheem
The systems actuated by Pneumatic Artificial Muscles (PAMs) are characterized by high nonlinearity and time-varying of their coefficients. Therefore, nonlinear and robust controllers are required to cope with these challenging control problems. This work presents the development of new control design for trajectory tracking of PAM-actuated manipulator based on Sliding Mode Control (SMC), Backstepping Sliding Mode Control (BSMC). The control laws of controlled PAM hanging mass based on SMC and BSMC have been developed according to Lyapunov stability analysis. Additionally, the PSO technique is used to tune the design parameters of proposed controllers for further enhancement of controlled PAM system performance. A comparison study has been conducted among the proposed controllers via computer simulation using MATLAB/Simulink programming software.
{"title":"Comparative Study of Optimal Nonlinear Control Schemes for Hanging Mass Actuated by Uncertain Pneumatic Muscle","authors":"M. E. Sadiq, A. Humaidi, S. Kadhim, Abdulkareem Sh. Mahdi, A. Alkhayyat, I. Ibraheem","doi":"10.1109/ICSET53708.2021.9612530","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612530","url":null,"abstract":"The systems actuated by Pneumatic Artificial Muscles (PAMs) are characterized by high nonlinearity and time-varying of their coefficients. Therefore, nonlinear and robust controllers are required to cope with these challenging control problems. This work presents the development of new control design for trajectory tracking of PAM-actuated manipulator based on Sliding Mode Control (SMC), Backstepping Sliding Mode Control (BSMC). The control laws of controlled PAM hanging mass based on SMC and BSMC have been developed according to Lyapunov stability analysis. Additionally, the PSO technique is used to tune the design parameters of proposed controllers for further enhancement of controlled PAM system performance. A comparison study has been conducted among the proposed controllers via computer simulation using MATLAB/Simulink programming software.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129443791","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 : 2021-11-06DOI: 10.1109/ICSET53708.2021.9612430
D. A. Zebari, A. Abrahim, D. Ibrahim, Gheyath M. Othman, F. Y. Ahmed
In the past years, a revolution took place in the world of technology and developed rapidly in all areas, covering various aspects of life. One of the hottest topics that researchers work in is computer vision including artificial intelligence. As it has a great importance, it represents the basics for many applications that are currently used in various sectors. The technology of biometric recognition has progressively developed specially in security for identification purposes. Such technology is face recognition, which uses facial information of humans to recognize people. In this paper 3D (three-dimensional) face recognition approach is proposed by using dense descriptors Local Binary Pattern (LBP), Local Ternary Pattern (LTP), and Gabor with Support Vector Machine (SVM). LTP technique which is a variant and extension of LBP. LBP and LTP have been used for feature information extraction individuality and merging with Gabor from the 3D images, and then the SVM technique is employed to classify and recognize the faces according to extracted features. The database that depended in this work is Three-Dimensional Face Recognition Database (Texas 3DFRD). The accuracy obtained from the proposed model was about 94.9% after many attempts the better one is selected.
{"title":"Analysis of Dense Descriptors in 3D Face Recognition","authors":"D. A. Zebari, A. Abrahim, D. Ibrahim, Gheyath M. Othman, F. Y. Ahmed","doi":"10.1109/ICSET53708.2021.9612430","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612430","url":null,"abstract":"In the past years, a revolution took place in the world of technology and developed rapidly in all areas, covering various aspects of life. One of the hottest topics that researchers work in is computer vision including artificial intelligence. As it has a great importance, it represents the basics for many applications that are currently used in various sectors. The technology of biometric recognition has progressively developed specially in security for identification purposes. Such technology is face recognition, which uses facial information of humans to recognize people. In this paper 3D (three-dimensional) face recognition approach is proposed by using dense descriptors Local Binary Pattern (LBP), Local Ternary Pattern (LTP), and Gabor with Support Vector Machine (SVM). LTP technique which is a variant and extension of LBP. LBP and LTP have been used for feature information extraction individuality and merging with Gabor from the 3D images, and then the SVM technique is employed to classify and recognize the faces according to extracted features. The database that depended in this work is Three-Dimensional Face Recognition Database (Texas 3DFRD). The accuracy obtained from the proposed model was about 94.9% after many attempts the better one is selected.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"28 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128899539","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 : 2021-11-06DOI: 10.1109/icset53708.2021.9612559
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icset53708.2021.9612559","DOIUrl":"https://doi.org/10.1109/icset53708.2021.9612559","url":null,"abstract":"","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122131195","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 : 2021-11-06DOI: 10.1109/ICSET53708.2021.9612531
Muhamad Akmal Ahmad, A. M. Muad
Inverse perspective mapping (IPM) is a geometrical image processing technique to remove the perspective distortion in an image and transform the image as if seen from the bird's eye view (BEV). IPM can be used as one of the key features in the advanced driver assistance system (ADAS) in vehicles. IPM requires camera calibration in order to extract intrinsic and extrinsic parameters of the camera. However, IPM assumes flat road surfaces. The accuracy of the IPM decreases if these parameters are constant when dealing with variety of road surfaces. This paper presents an implementation of camera calibration technique with incorporation of selected point features from different images containing different road surfaces. Results show that the generated IPM images calibrated with different road surfaces, such as straight, hilly, and arterials (bumpy and zebra crossing) roads, produces enhanced visual appearance, less blurry and less pixelated.
{"title":"Calibration of Inverse Perspective Mapping from Different Road Surface Images","authors":"Muhamad Akmal Ahmad, A. M. Muad","doi":"10.1109/ICSET53708.2021.9612531","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612531","url":null,"abstract":"Inverse perspective mapping (IPM) is a geometrical image processing technique to remove the perspective distortion in an image and transform the image as if seen from the bird's eye view (BEV). IPM can be used as one of the key features in the advanced driver assistance system (ADAS) in vehicles. IPM requires camera calibration in order to extract intrinsic and extrinsic parameters of the camera. However, IPM assumes flat road surfaces. The accuracy of the IPM decreases if these parameters are constant when dealing with variety of road surfaces. This paper presents an implementation of camera calibration technique with incorporation of selected point features from different images containing different road surfaces. Results show that the generated IPM images calibrated with different road surfaces, such as straight, hilly, and arterials (bumpy and zebra crossing) roads, produces enhanced visual appearance, less blurry and less pixelated.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123369589","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 : 2021-11-06DOI: 10.1109/ICSET53708.2021.9612544
Siti Hazurah Indera Putera, N. Sidik, M. Kassim
Mechanical Ventilation plays a major role for life support of critically-ill patients in the Intensive Care Unit. Medical practitioners assess patient's oxygenation status by observing the blood gases from arterial blood samples. However, this procedure to sample arterial blood is invasive and must be done cautiously. This paper proposes new fuzzy logic-based models for estimating non-invasively the relative ratio of dead space to the tidal volume, known as relative dead-space and the production of carbon-dioxide of ventilated patients. These parameters are needed for a non-invasive and automatic blood gas estimation system called the SOPAVent system. The fuzzy models are designed using fuzzy c-means clustering and new-structure particle swarm optimization technique which looks at the coefficient of determination and the mean squared error as performance indices. The prediction results are validated with actual ICU patients. The simulation results showed high accuracy in prediction of the relative dead-space parameter and the production of carbon-dioxide parameter.
{"title":"Fuzzy C-Means Clustering and New-Structure Particle Swarm Optimization for Modelling of Relative Dead-Space and Carbon Dioxide Production","authors":"Siti Hazurah Indera Putera, N. Sidik, M. Kassim","doi":"10.1109/ICSET53708.2021.9612544","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612544","url":null,"abstract":"Mechanical Ventilation plays a major role for life support of critically-ill patients in the Intensive Care Unit. Medical practitioners assess patient's oxygenation status by observing the blood gases from arterial blood samples. However, this procedure to sample arterial blood is invasive and must be done cautiously. This paper proposes new fuzzy logic-based models for estimating non-invasively the relative ratio of dead space to the tidal volume, known as relative dead-space and the production of carbon-dioxide of ventilated patients. These parameters are needed for a non-invasive and automatic blood gas estimation system called the SOPAVent system. The fuzzy models are designed using fuzzy c-means clustering and new-structure particle swarm optimization technique which looks at the coefficient of determination and the mean squared error as performance indices. The prediction results are validated with actual ICU patients. The simulation results showed high accuracy in prediction of the relative dead-space parameter and the production of carbon-dioxide parameter.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116084505","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 : 2021-11-06DOI: 10.1109/ICSET53708.2021.9612539
M. E. Sadiq, A. Humaidi, S. Kadhim, Ammar K. Al Mhdawi, A. Alkhayyat, I. Ibraheem
The manipulators actuated by Pneumatic Artificial Muscles (PAMs) are characterized by high nonlinearity and time varying of their coefficients. Therefore, nonlinear and robust controllers are required to cope with these challenging control problems. This work presents the development of control design for trajectory tracking of PAM-actuated manipulator based on Sliding Mode Control (SMC). The PSO technique is used to tune the design parameters of proposed controller for further enhancement of controlled PAM system performance. A comparison study has been conducted between the optimal and non-optimal SMC controllers via computer simulation using MATLAB programming software.
{"title":"Optimal Sliding Mode Control of Single Arm PAM-Actuated Manipulator","authors":"M. E. Sadiq, A. Humaidi, S. Kadhim, Ammar K. Al Mhdawi, A. Alkhayyat, I. Ibraheem","doi":"10.1109/ICSET53708.2021.9612539","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612539","url":null,"abstract":"The manipulators actuated by Pneumatic Artificial Muscles (PAMs) are characterized by high nonlinearity and time varying of their coefficients. Therefore, nonlinear and robust controllers are required to cope with these challenging control problems. This work presents the development of control design for trajectory tracking of PAM-actuated manipulator based on Sliding Mode Control (SMC). The PSO technique is used to tune the design parameters of proposed controller for further enhancement of controlled PAM system performance. A comparison study has been conducted between the optimal and non-optimal SMC controllers via computer simulation using MATLAB programming software.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116225624","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 : 2021-11-06DOI: 10.1109/ICSET53708.2021.9612547
Omer Mohammed Salih Hassan, A. Abdulazeez, Arman Ismael Mohammed, S. Salih, Sarbast Husien Alih, F. Y. Ahmed, D. Zeebaree
Digital watermarking is getting more research and industry attention. Digital multimedia data allows for robust and simple data editing and modification. However, the spread of digital media presents concerns for digital content owners. It is important to note that digital data can be copied without quality or content loss. This has a considerable impact on copyright holders' ability to safeguard their intellectual property rights. The method of transmitting information by imperceptibly embedding it into digital media is digital watermarking. There are various methods in literature, such as DWT and DCT, which take full energy, are seen and integrated. New strategies and procedures for optimization are required. The present study proposes a novel design and computation technique based on the discrete wavelet and discrete cosine transforms. Watermarking techniques have been progressing to shield media content such as text, audio, video, etc. From copyright. The proposed hybrid DWT-DCT Bacterial Foraging Optimization (BFO) technique improves the efficiency of watermarking digital images by 97%. Bacterial foraging optimization (BFO) is an innovative technique for intelligent optimization. It is a widely used optimization algorithm in a wide variety of applications. However, when compared to other optimizers, the BFO performs poorly in terms of convergence. This technique uses a high-frequency image region. A variety of techniques are compared with the (NCC) Normalized Cross Correlations, (PSNR) Peak Noise Signal Ratio and IF (Image Fidelity). The highest performance is seen in DWT-DCT-BFO watermarking.
{"title":"An Efficient Robust Color Watermarking Algorithm Based on DWT, DCT, BFO and Implementation","authors":"Omer Mohammed Salih Hassan, A. Abdulazeez, Arman Ismael Mohammed, S. Salih, Sarbast Husien Alih, F. Y. Ahmed, D. Zeebaree","doi":"10.1109/ICSET53708.2021.9612547","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612547","url":null,"abstract":"Digital watermarking is getting more research and industry attention. Digital multimedia data allows for robust and simple data editing and modification. However, the spread of digital media presents concerns for digital content owners. It is important to note that digital data can be copied without quality or content loss. This has a considerable impact on copyright holders' ability to safeguard their intellectual property rights. The method of transmitting information by imperceptibly embedding it into digital media is digital watermarking. There are various methods in literature, such as DWT and DCT, which take full energy, are seen and integrated. New strategies and procedures for optimization are required. The present study proposes a novel design and computation technique based on the discrete wavelet and discrete cosine transforms. Watermarking techniques have been progressing to shield media content such as text, audio, video, etc. From copyright. The proposed hybrid DWT-DCT Bacterial Foraging Optimization (BFO) technique improves the efficiency of watermarking digital images by 97%. Bacterial foraging optimization (BFO) is an innovative technique for intelligent optimization. It is a widely used optimization algorithm in a wide variety of applications. However, when compared to other optimizers, the BFO performs poorly in terms of convergence. This technique uses a high-frequency image region. A variety of techniques are compared with the (NCC) Normalized Cross Correlations, (PSNR) Peak Noise Signal Ratio and IF (Image Fidelity). The highest performance is seen in DWT-DCT-BFO watermarking.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132525630","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 : 2021-11-06DOI: 10.1109/ICSET53708.2021.9612431
Oras Baker, Jay Liu, M. Gosai, Suyog Sitoula
The use of data obtained from social media for data mining has benefited the process of analysing public opinions. Sentiment analysis, also referred to as opinion mining, helps public health officials and other governmental agencies to understand the public's concerns, panics, emotions and interactions to provide effective services and information. This research focuses on the sentiment analysis of the COVID-19 pandemic outbreak in New Zealand using Twitter data. The analyses derived from several machine learning classification techniques, in particular Naive Bayes, K-Nearest Neighbour (KNN), Convolutional Neural Network (CNN), and Support Vector Machine (SVM). In addition, the researchers implemented these algorithms in two different data mining platforms, namely Python and RapidMiner, then compared the metrics obtained from these techniques and platforms to identify the best algorithm suited for sentiment analysis. Finally, the researchers illustrate the experimental results that show the performance of Naïve Bayes and SVM, which indicates a longer computational time and led to an improved Twitter sentiment analysis result that outperforms the other models. After that, validate these models' effectiveness by comparing the obtained results for the same models in Python and RapidMiner.
{"title":"Twitter Sentiment Analysis using Machine Learning Algorithms for COVID-19 Outbreak in New Zealand","authors":"Oras Baker, Jay Liu, M. Gosai, Suyog Sitoula","doi":"10.1109/ICSET53708.2021.9612431","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612431","url":null,"abstract":"The use of data obtained from social media for data mining has benefited the process of analysing public opinions. Sentiment analysis, also referred to as opinion mining, helps public health officials and other governmental agencies to understand the public's concerns, panics, emotions and interactions to provide effective services and information. This research focuses on the sentiment analysis of the COVID-19 pandemic outbreak in New Zealand using Twitter data. The analyses derived from several machine learning classification techniques, in particular Naive Bayes, K-Nearest Neighbour (KNN), Convolutional Neural Network (CNN), and Support Vector Machine (SVM). In addition, the researchers implemented these algorithms in two different data mining platforms, namely Python and RapidMiner, then compared the metrics obtained from these techniques and platforms to identify the best algorithm suited for sentiment analysis. Finally, the researchers illustrate the experimental results that show the performance of Naïve Bayes and SVM, which indicates a longer computational time and led to an improved Twitter sentiment analysis result that outperforms the other models. After that, validate these models' effectiveness by comparing the obtained results for the same models in Python and RapidMiner.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128979942","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 : 2021-11-06DOI: 10.1109/ICSET53708.2021.9612534
S. Z. Ishak, Nuraleeya M. Ilobshebru, Noor Azreena Kamaluddin, J. Ahmad, Akhmad Hasanuddin, R. Rahman
This study focused on the plastic waste ability to be one of the materials as a sealant dealing with an early pavement deterioration. By identifying the current materials or technology used as a crack sealant, it would be beneficial to researchers and engineers to get more precise detail and understanding of the plastic criteria similarity with existing material used as a crack sealant. The objectives of this study are to benchmark the current trend of material or technology used as a sealant for pavement crack treatment, to determine the factors affecting or criteria of a good material used as a crack sealant, to compare the plastic criteria similarity with existing material used as a crack sealant, and to determine the public acceptance and feedback regarding plastic waste usage as a crack sealant in Malaysia. Information was gathered from past research via a comprehensive literature review. The questionnaire survey was disseminated to gather feedback regarding the demographic profile, awareness of plastic waste, road pavement defects, and feasibility of plastic as a crack sealant. The gaps analysis has found that the plastic material fulfills most of the criteria as rubberised material except the elasticity. This feasibility study received the three (3) highest agreeable criteria from Civil engineers and the general public, that the early pavement treatment is necessary, their interest in exploring plastics waste as a crack sealant, and the workability of plastics waste as a sealant for pavement crack treatment. Further in-depth study and proof of concept (POC) are suggested to be conducted in the future.
{"title":"Pavement Crack Treatment: Feasibility Study on using Plastic Waste ss Sealant","authors":"S. Z. Ishak, Nuraleeya M. Ilobshebru, Noor Azreena Kamaluddin, J. Ahmad, Akhmad Hasanuddin, R. Rahman","doi":"10.1109/ICSET53708.2021.9612534","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612534","url":null,"abstract":"This study focused on the plastic waste ability to be one of the materials as a sealant dealing with an early pavement deterioration. By identifying the current materials or technology used as a crack sealant, it would be beneficial to researchers and engineers to get more precise detail and understanding of the plastic criteria similarity with existing material used as a crack sealant. The objectives of this study are to benchmark the current trend of material or technology used as a sealant for pavement crack treatment, to determine the factors affecting or criteria of a good material used as a crack sealant, to compare the plastic criteria similarity with existing material used as a crack sealant, and to determine the public acceptance and feedback regarding plastic waste usage as a crack sealant in Malaysia. Information was gathered from past research via a comprehensive literature review. The questionnaire survey was disseminated to gather feedback regarding the demographic profile, awareness of plastic waste, road pavement defects, and feasibility of plastic as a crack sealant. The gaps analysis has found that the plastic material fulfills most of the criteria as rubberised material except the elasticity. This feasibility study received the three (3) highest agreeable criteria from Civil engineers and the general public, that the early pavement treatment is necessary, their interest in exploring plastics waste as a crack sealant, and the workability of plastics waste as a sealant for pavement crack treatment. Further in-depth study and proof of concept (POC) are suggested to be conducted in the future.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131016359","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}
During the pandemic and post pandemic era, securing a job is among the critical situation that affects the socio-economic development. Although many have claimed to lose their jobs and the prospects of occupations have changed to something known as new normal, the industry has yet to quit and determined to recover after the pandemic is over. This research is done to develop a system that is able to create and store industrial profiles. This profile will return specifications on market demand and job descriptions to match the learning and training institutions curricula so that the graduates would be able to meet the industrial needs. Simultaneously, this system is also able to deduce on the demand analysis to guide the supply institutions not to deviate on the real-time industry expectations. The system developed for this research is known as eMOTIKON which stands for (in Malay words) e-MoU Tenaga Kerja Industri-KBS Online which is translated to be the electronic-based data of developing workforce through MoUs between the industry and the Ministry of Youth and Sports, Malaysia.
{"title":"Industrial Profiling for Job Placement and Market Demand Analysis Using eMOTIKON","authors":"Muhamad Firdaus Ali, Shahrizwan Effendi Hashmi, Muhammad Akmal Hazim, Aziyati Yusoff","doi":"10.1109/ICSET53708.2021.9612573","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612573","url":null,"abstract":"During the pandemic and post pandemic era, securing a job is among the critical situation that affects the socio-economic development. Although many have claimed to lose their jobs and the prospects of occupations have changed to something known as new normal, the industry has yet to quit and determined to recover after the pandemic is over. This research is done to develop a system that is able to create and store industrial profiles. This profile will return specifications on market demand and job descriptions to match the learning and training institutions curricula so that the graduates would be able to meet the industrial needs. Simultaneously, this system is also able to deduce on the demand analysis to guide the supply institutions not to deviate on the real-time industry expectations. The system developed for this research is known as eMOTIKON which stands for (in Malay words) e-MoU Tenaga Kerja Industri-KBS Online which is translated to be the electronic-based data of developing workforce through MoUs between the industry and the Ministry of Youth and Sports, Malaysia.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134467330","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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