Pub Date : 2019-06-01DOI: 10.1109/iacs.2019.8809130
{"title":"ICICS 2019 Sponsors","authors":"","doi":"10.1109/iacs.2019.8809130","DOIUrl":"https://doi.org/10.1109/iacs.2019.8809130","url":null,"abstract":"","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121335249","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 : 2019-06-01DOI: 10.1109/IACS.2019.8809167
Y. M. Al-Rawashdeh, S. E. Ferik, M. A. Abido
In this paper, a robust full-car active suspension system is designed. All parameters involved, except those related to the chassis of the car, are considered uncertain and the center of gravity position is assumed to be fixed. The resulting uncertain system constitutes of many uncertain parameters and the robust problem is found to be non-convex. Particle Swarm Optimization technique is devised to solve this problem resulting in an iterative PSO/LMI optimization algorithm. SimMechanics is used to build the nonlinear full-car model and to allow future extensions such that complex cases can be considered, i.e., the passengers, goods, or the like might be uncertain or having their own dynamics onboard.
{"title":"Robust Full-Car Active Suspension System","authors":"Y. M. Al-Rawashdeh, S. E. Ferik, M. A. Abido","doi":"10.1109/IACS.2019.8809167","DOIUrl":"https://doi.org/10.1109/IACS.2019.8809167","url":null,"abstract":"In this paper, a robust full-car active suspension system is designed. All parameters involved, except those related to the chassis of the car, are considered uncertain and the center of gravity position is assumed to be fixed. The resulting uncertain system constitutes of many uncertain parameters and the robust problem is found to be non-convex. Particle Swarm Optimization technique is devised to solve this problem resulting in an iterative PSO/LMI optimization algorithm. SimMechanics is used to build the nonlinear full-car model and to allow future extensions such that complex cases can be considered, i.e., the passengers, goods, or the like might be uncertain or having their own dynamics onboard.","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124803116","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 : 2019-06-01DOI: 10.1109/IACS.2019.8809108
S. Khanji, S. Assaf
Ridesharing or carpooling has a valuable potential in large cities that suffer from traffic jams and congestion especially in places with poor public transportation infrastructure and fuel trip expenses are too high. By increasing the level of vehicles occupancy; colleagues who share the same workplace can smoothly hop into each other’s vehicles to reach their destination. In this research paper we utilize the decentralization nature of the blockchain to build a smart ridesharing application – GreenRide - through incentivizing its users via token rewards. Our work investigates boosting ridesharing efficiency through utilizing the blockchain merits of decentralization, trustless, and scalability. We also emphasize on the application’s environmental impacts where it promotes carbon emission reduction, and enhances air quality. Moreover, the research paper identifies GreenRide’s economic and social impacts as per it helps road users to share the costly fuel expenses and to create friendships between like-minded people respectively. The research findings unlock the tremendous potential of the blockchain technology in other business-related fields not only limited to finance and cryptocurrencies.
{"title":"Boosting Ridesharing Efficiency Through Blockchain: GreenRide Application Case Study","authors":"S. Khanji, S. Assaf","doi":"10.1109/IACS.2019.8809108","DOIUrl":"https://doi.org/10.1109/IACS.2019.8809108","url":null,"abstract":"Ridesharing or carpooling has a valuable potential in large cities that suffer from traffic jams and congestion especially in places with poor public transportation infrastructure and fuel trip expenses are too high. By increasing the level of vehicles occupancy; colleagues who share the same workplace can smoothly hop into each other’s vehicles to reach their destination. In this research paper we utilize the decentralization nature of the blockchain to build a smart ridesharing application – GreenRide - through incentivizing its users via token rewards. Our work investigates boosting ridesharing efficiency through utilizing the blockchain merits of decentralization, trustless, and scalability. We also emphasize on the application’s environmental impacts where it promotes carbon emission reduction, and enhances air quality. Moreover, the research paper identifies GreenRide’s economic and social impacts as per it helps road users to share the costly fuel expenses and to create friendships between like-minded people respectively. The research findings unlock the tremendous potential of the blockchain technology in other business-related fields not only limited to finance and cryptocurrencies.","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124858966","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 : 2019-06-01DOI: 10.1109/IACS.2019.8809132
Lana Issa, Mahdi Alkhatib, Aalaa Al-badarneh, A. Qusef
In today’s contemporary world, one of the most significant challenges facing most organizations is the challenge of employee retention. To remain efficient in an extremely competitive world, it is important for organizations to invest in measures that enhance the productivity and motivation of their workforce. In essence, this is the key to remaining relevant. Agile project management is the newest trend in project management methods that support concepts of flexibility and continuous improvements which help to keep an organization’s workforce efficient and motivated and reflect positively on employee retention. In this theoretical paper, we aim to critically analyze how the various Agile methods support employee retention better than traditional approaches by matching employee retention’s best practices within its approach. In this work, we found that agile systems implicitly handle several job satisfaction factor and thus help with employee retention without extra effort done by human resource management in traditional approaches.
{"title":"Employee Retention in Agile Project Management","authors":"Lana Issa, Mahdi Alkhatib, Aalaa Al-badarneh, A. Qusef","doi":"10.1109/IACS.2019.8809132","DOIUrl":"https://doi.org/10.1109/IACS.2019.8809132","url":null,"abstract":"In today’s contemporary world, one of the most significant challenges facing most organizations is the challenge of employee retention. To remain efficient in an extremely competitive world, it is important for organizations to invest in measures that enhance the productivity and motivation of their workforce. In essence, this is the key to remaining relevant. Agile project management is the newest trend in project management methods that support concepts of flexibility and continuous improvements which help to keep an organization’s workforce efficient and motivated and reflect positively on employee retention. In this theoretical paper, we aim to critically analyze how the various Agile methods support employee retention better than traditional approaches by matching employee retention’s best practices within its approach. In this work, we found that agile systems implicitly handle several job satisfaction factor and thus help with employee retention without extra effort done by human resource management in traditional approaches.","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128292754","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 : 2019-06-01DOI: 10.1109/IACS.2019.8809123
Cerine Tafran, Mohamad El-Abed, Islam Elkabani, Ziad Osman
The Quality assessment of a face image is a topic of great interest for biometric applications where images with bad samples decrease the system performance and increase authentication errors, especially in biometric passport applications that use only a single image for enrollment. Thus, in order to have a useful biometric authentication system, the quality of the biometric sample images must be controlled. This paper presents a no-reference quality assessment method which detects the illumination problem using Symmetric Based Features along with BLIINDS Based Features. The experimental results on the AR database recorded an accuracy of 90.3 % by using Stochastic Gradient Descent (SGD) classifier.
{"title":"A No-Reference Image Quality Assessment For Detecting Illumination Alteration","authors":"Cerine Tafran, Mohamad El-Abed, Islam Elkabani, Ziad Osman","doi":"10.1109/IACS.2019.8809123","DOIUrl":"https://doi.org/10.1109/IACS.2019.8809123","url":null,"abstract":"The Quality assessment of a face image is a topic of great interest for biometric applications where images with bad samples decrease the system performance and increase authentication errors, especially in biometric passport applications that use only a single image for enrollment. Thus, in order to have a useful biometric authentication system, the quality of the biometric sample images must be controlled. This paper presents a no-reference quality assessment method which detects the illumination problem using Symmetric Based Features along with BLIINDS Based Features. The experimental results on the AR database recorded an accuracy of 90.3 % by using Stochastic Gradient Descent (SGD) classifier.","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129645245","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 : 2019-06-01DOI: 10.1109/IACS.2019.8809174
Saif Rawashdeh, Walaa Eyadat, Areen Magableh, W. Mardini, M. B. Yasin
The smart world is an era in which things (e.g., cars, buses, computers, and mobile phones) can serve people in an effective and collaborative manner. Internet of Things (IoT) connects many devices with each other. IoT devises sense, gather, process, and transmit information from their surroundings. This transmission and exchange of a large amount of data between billions of devices cause massive consumption of energy. The central aim of Green IoT is reducing power consumption of IoT devices to create a safe and sustainable environment for IoT. In this paper, we presented an overview about IoT and the Green IoT, then classified the techniques of the Green IoT into three taxonomies that are Software Based Green IoT techniques, Hardware-Based Green IoT techniques and Policy Based Green IoT techniques. Finally, we compared many Green models, systems, and algorithms to improve and reduce the energy consumption of IoT devices.
{"title":"Sustainable Smart World","authors":"Saif Rawashdeh, Walaa Eyadat, Areen Magableh, W. Mardini, M. B. Yasin","doi":"10.1109/IACS.2019.8809174","DOIUrl":"https://doi.org/10.1109/IACS.2019.8809174","url":null,"abstract":"The smart world is an era in which things (e.g., cars, buses, computers, and mobile phones) can serve people in an effective and collaborative manner. Internet of Things (IoT) connects many devices with each other. IoT devises sense, gather, process, and transmit information from their surroundings. This transmission and exchange of a large amount of data between billions of devices cause massive consumption of energy. The central aim of Green IoT is reducing power consumption of IoT devices to create a safe and sustainable environment for IoT. In this paper, we presented an overview about IoT and the Green IoT, then classified the techniques of the Green IoT into three taxonomies that are Software Based Green IoT techniques, Hardware-Based Green IoT techniques and Policy Based Green IoT techniques. Finally, we compared many Green models, systems, and algorithms to improve and reduce the energy consumption of IoT devices.","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130896503","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 : 2019-06-01DOI: 10.1109/IACS.2019.8809144
D. Maddi, A. Sheta, Dharani Davineni, Heba Al-Hiary
Design of the Proportional-Integral-Derivative (PID) controller for an industrial process represents a challenge due to process complexity and non-linearity. Traditional methods such as Ziegler-Nichols (ZN) for PID controller tuning do not provide an optimal gain; thus, might leave the system with potential instability condition and cause significant losses and damages to the system. This paper investigates the merits of evolutionary and swarm-based optimization algorithms in fine-tuning the parameters of a PID controller. Here, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) algorithm were utilized to optimize the PID controller for a DC motor system. Various fitness functions were provided for the presented algorithms to compute the performance of the controller. A new fitness function was proposed to achieve an outstanding control response for the DC motor system. Results demonstrate the efficacy of the proposed methods in improving closed loop system response.
{"title":"Optimization of PID Controller Gain Using Evolutionary Algorithm and Swarm Intelligence","authors":"D. Maddi, A. Sheta, Dharani Davineni, Heba Al-Hiary","doi":"10.1109/IACS.2019.8809144","DOIUrl":"https://doi.org/10.1109/IACS.2019.8809144","url":null,"abstract":"Design of the Proportional-Integral-Derivative (PID) controller for an industrial process represents a challenge due to process complexity and non-linearity. Traditional methods such as Ziegler-Nichols (ZN) for PID controller tuning do not provide an optimal gain; thus, might leave the system with potential instability condition and cause significant losses and damages to the system. This paper investigates the merits of evolutionary and swarm-based optimization algorithms in fine-tuning the parameters of a PID controller. Here, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) algorithm were utilized to optimize the PID controller for a DC motor system. Various fitness functions were provided for the presented algorithms to compute the performance of the controller. A new fitness function was proposed to achieve an outstanding control response for the DC motor system. Results demonstrate the efficacy of the proposed methods in improving closed loop system response.","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"2017 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132891263","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 : 2019-06-01DOI: 10.1109/IACS.2019.8809122
Hassan M. Najadat, Ahmad A. Alshboul, Abdullah Alabed
Recognition of Arabic handwritten characters is very important due to its various benefits and usages. Ancient documents, bank processing, postal mailing and others are examples where we may need character recognition systems. But many obstacles may be faced due to diversity of human writing styles. Language characters recognition has been widely covered in many languages and many algorithms and paradigms were used. With the strong appealing of deep CNN classifier promise results were reached in many classification problems. CNN is a feed forward neural network that is extensively used in several applications such as image classification. The main benefit of using CNN is the merging of feature extraction and classification itself. Some researchers used CNN in Arabic character recognition, one of those El-Sawy et al [1] who applied CNN architecture on a dataset namely (AHCD) of 16800 characters. They obtained a good accuracy of 94.9% and a misclassification error of 5.1% on testing data. In our paper we will explore their dataset by proposing a modified CNN architecture hopefully to overcome their results.
{"title":"Arabic Handwritten Characters Recognition using Convolutional Neural Network","authors":"Hassan M. Najadat, Ahmad A. Alshboul, Abdullah Alabed","doi":"10.1109/IACS.2019.8809122","DOIUrl":"https://doi.org/10.1109/IACS.2019.8809122","url":null,"abstract":"Recognition of Arabic handwritten characters is very important due to its various benefits and usages. Ancient documents, bank processing, postal mailing and others are examples where we may need character recognition systems. But many obstacles may be faced due to diversity of human writing styles. Language characters recognition has been widely covered in many languages and many algorithms and paradigms were used. With the strong appealing of deep CNN classifier promise results were reached in many classification problems. CNN is a feed forward neural network that is extensively used in several applications such as image classification. The main benefit of using CNN is the merging of feature extraction and classification itself. Some researchers used CNN in Arabic character recognition, one of those El-Sawy et al [1] who applied CNN architecture on a dataset namely (AHCD) of 16800 characters. They obtained a good accuracy of 94.9% and a misclassification error of 5.1% on testing data. In our paper we will explore their dataset by proposing a modified CNN architecture hopefully to overcome their results.","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128576547","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 : 2019-06-01DOI: 10.1109/iacs.2019.8809173
{"title":"ICICS 2019 Keynotes","authors":"","doi":"10.1109/iacs.2019.8809173","DOIUrl":"https://doi.org/10.1109/iacs.2019.8809173","url":null,"abstract":"","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132318900","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 : 2019-06-01DOI: 10.1109/IACS.2019.8809150
Yousef Shatnawi, Muhannad Quwaider
In this paper, the Proportional-Integrator-Differentiator (PID) controller is tuned in a rate-based congestion control scheme to be used for the ATM networks. The tuning strategy is based on reformulating the problem to be as an optimization problem with a compact fitness function reflecting the control requirements. The key contribution in this paper is to adopt the immune algorithm as the tuning process, which proves to be so simple, fast, and computationally cheap compared with the other traditional tuning methods. For the purpose of comparison, a simplified network model is built and simulated using two control methods; namely: the proposed control scheme and the well-known single-bit indicator scheme. The experimental results prove that the PID controller tuned by the immune algorithm is superior in terms of the stability of both, buffer occupancy in the switch and the source rate. Both the transient behavior and the steady-state response for the PID controller are shown to be much better than the single-bit indicator scheme. Consequently, the proposed control scheme outperforms the single-bit indicator in terms of link utilization, buffer utilization, packet drop and robustness against any burst change in the network environment.
{"title":"Congestion Control in ATM networks using PID Controller with Immune Algorithm","authors":"Yousef Shatnawi, Muhannad Quwaider","doi":"10.1109/IACS.2019.8809150","DOIUrl":"https://doi.org/10.1109/IACS.2019.8809150","url":null,"abstract":"In this paper, the Proportional-Integrator-Differentiator (PID) controller is tuned in a rate-based congestion control scheme to be used for the ATM networks. The tuning strategy is based on reformulating the problem to be as an optimization problem with a compact fitness function reflecting the control requirements. The key contribution in this paper is to adopt the immune algorithm as the tuning process, which proves to be so simple, fast, and computationally cheap compared with the other traditional tuning methods. For the purpose of comparison, a simplified network model is built and simulated using two control methods; namely: the proposed control scheme and the well-known single-bit indicator scheme. The experimental results prove that the PID controller tuned by the immune algorithm is superior in terms of the stability of both, buffer occupancy in the switch and the source rate. Both the transient behavior and the steady-state response for the PID controller are shown to be much better than the single-bit indicator scheme. Consequently, the proposed control scheme outperforms the single-bit indicator in terms of link utilization, buffer utilization, packet drop and robustness against any burst change in the network environment.","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133528776","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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