Pub Date : 2018-08-01DOI: 10.1109/ICCCEEE.2018.8515880
Razan S. M. Saadaldeen, Abdalla A. Osman, Y. E. Ahmed
a wireless sensor network is a distributed sensing node to monitor physical or environmental conditions. Each node consists of sensors, wireless communication, limited processing capabilities and amount of energy reserved. The energy dissipation is an important problem to deal with, because of its effect on the network lifetime and availability. Recently, several clustering-based methods have been used for optimizing the redundancy and energy consumption. The low energy adaptive clustering hierarchy divided the wireless sensor network into a cluster with a cluster head. But its problem is on which parameter cluster heads are elected. This paper aims to provide a guideline for researchers whose aim to optimize data redundancy and energy consumption in the wireless sensor networks using clustering hierarchical depending on different parameters including distance to base station, node degree and node centrality to be used for electing the cluster head in addition to data redundancy. The electing is being achieved by using two techniques the Fuzzy Logic and genetic algorithm. The paper compared the techniques to provide a classification of the significant parameters that affects the lifetime of the network. Genetic Algorithm achieved by mixing the good solutions using a crossover and mutation operators while Fuzzy Logic using if-then rules and probability between 0 and 1.
{"title":"Clustering for Energy Efficient and Redundancy Optimization in WSN using Fuzzy Logic and Genetic Methodologies a Review","authors":"Razan S. M. Saadaldeen, Abdalla A. Osman, Y. E. Ahmed","doi":"10.1109/ICCCEEE.2018.8515880","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515880","url":null,"abstract":"a wireless sensor network is a distributed sensing node to monitor physical or environmental conditions. Each node consists of sensors, wireless communication, limited processing capabilities and amount of energy reserved. The energy dissipation is an important problem to deal with, because of its effect on the network lifetime and availability. Recently, several clustering-based methods have been used for optimizing the redundancy and energy consumption. The low energy adaptive clustering hierarchy divided the wireless sensor network into a cluster with a cluster head. But its problem is on which parameter cluster heads are elected. This paper aims to provide a guideline for researchers whose aim to optimize data redundancy and energy consumption in the wireless sensor networks using clustering hierarchical depending on different parameters including distance to base station, node degree and node centrality to be used for electing the cluster head in addition to data redundancy. The electing is being achieved by using two techniques the Fuzzy Logic and genetic algorithm. The paper compared the techniques to provide a classification of the significant parameters that affects the lifetime of the network. Genetic Algorithm achieved by mixing the good solutions using a crossover and mutation operators while Fuzzy Logic using if-then rules and probability between 0 and 1.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"27 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78954146","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 : 2018-08-01DOI: 10.1109/ICCCEEE.2018.8515897
Salwa Bakheet, O. Abdallah, S. Abdalla
In this paper, an intelligent system is designed to measure, record, examine the line voltage disturbance, and to protect sensitive equipment against power line disturbance and using data recorded to selecting a good power prevention policy. Arduino UNO board is used to implement the data acquisition circuit, which send them to a protection system in order to Error handling of power line disturbance. The circuit is acquiring the line voltage and frequency, and then interfaced to a personal computer via USB cable. LabView software program is used as user screen interface and to provide data recording. The data recorded connected with protection circuit to protect instruments lab from disturbances. Also the data recording property allows the user to document the result as selected in text format. The system is successfully tested, and the maximum percentage error obtained in voltage measurement was (0.383%) and in frequency was (0).
{"title":"Monitoring and Protection System for Sensitive Instruments to Power Line Disturbances","authors":"Salwa Bakheet, O. Abdallah, S. Abdalla","doi":"10.1109/ICCCEEE.2018.8515897","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515897","url":null,"abstract":"In this paper, an intelligent system is designed to measure, record, examine the line voltage disturbance, and to protect sensitive equipment against power line disturbance and using data recorded to selecting a good power prevention policy. Arduino UNO board is used to implement the data acquisition circuit, which send them to a protection system in order to Error handling of power line disturbance. The circuit is acquiring the line voltage and frequency, and then interfaced to a personal computer via USB cable. LabView software program is used as user screen interface and to provide data recording. The data recorded connected with protection circuit to protect instruments lab from disturbances. Also the data recording property allows the user to document the result as selected in text format. The system is successfully tested, and the maximum percentage error obtained in voltage measurement was (0.383%) and in frequency was (0).","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"7 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85324464","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 : 2018-08-01DOI: 10.1109/ICCCEEE.2018.8515845
Ayman Mohammed Muzzamail Albashear, H. Ali, Abeer M. Ali
A Retransmission Timeout or RTO plays an important role in TCP protocol, mainly to achieve reliable transmission. In TCP, if the sender sent a segment and no acknowledgement has been received and the RTO timer expired then the sender will assume that this segment has been lost. This paper proposed another use of the RTO concept in order to secure the TLS session. It calculates a Secure Session RTO or SSRTO which is based on RTO equation between the sender and receiver in a TLS protocol. It is assumed that the man in the middle is in need of the time factor in order to trigger a KCI attack. at the server side, by calculating the time needed to start a TLS Handshake Protocol, until TLS Record Protocol, and if it is found that it took an appreciable time we may assume that there is an attacker. The action in this case, is to cut off the session between the sender and the receiver.
{"title":"Detection of Man-in-the-Middle Attacks by Using the TCP Retransmission Timeout : Key Compromise Impersonation Attack as Study Case","authors":"Ayman Mohammed Muzzamail Albashear, H. Ali, Abeer M. Ali","doi":"10.1109/ICCCEEE.2018.8515845","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515845","url":null,"abstract":"A Retransmission Timeout or RTO plays an important role in TCP protocol, mainly to achieve reliable transmission. In TCP, if the sender sent a segment and no acknowledgement has been received and the RTO timer expired then the sender will assume that this segment has been lost. This paper proposed another use of the RTO concept in order to secure the TLS session. It calculates a Secure Session RTO or SSRTO which is based on RTO equation between the sender and receiver in a TLS protocol. It is assumed that the man in the middle is in need of the time factor in order to trigger a KCI attack. at the server side, by calculating the time needed to start a TLS Handshake Protocol, until TLS Record Protocol, and if it is found that it took an appreciable time we may assume that there is an attacker. The action in this case, is to cut off the session between the sender and the receiver.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"8 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88611073","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 : 2018-08-01DOI: 10.1109/ICCCEEE.2018.8515763
Hussna Elnoor Mohammed Abdalla, M. Esmail
Brain tumor is one of the most dangerous diseases which require early and accurately detection methods, now most detection and diagnosis methods depend on decision of neurospecialists, and radiologist for image evaluation which possible to human errors and time consuming. This study reviews and describe the processes and techniques used in detection brain tumor based on magnetic resonance imaging (MRI) and artificial neural networks (ANN) techniques, Which executed in the different steps of Computer Aided Detection System (CAD) after collected the image data (MRI); first stage is pre-processing and post-processing of MRI images to enhancement it and make it more suitable to analysis then used threshold to segment the MRI images by applied mean gray level method. In the second stage was used the statistical feature analysis to extract features from images; the features computed from equations of Haralick’s features based on the spatial gray level dependency matrix (SGLD) of images. Then selected the suitable and best features to detect the tumor localization. In the third stage the artificial neural networks were designed; the feedforward back propagation neural network with supervised learning were apply as automatic method to classify the images under investigation into tumor or none tumor. the network performances was evaluated successfully tested and achieved the best results with accuracy of 99%, and sensitivity 97.9%.
{"title":"Brain Tumor Detection by using Artificial Neural Network","authors":"Hussna Elnoor Mohammed Abdalla, M. Esmail","doi":"10.1109/ICCCEEE.2018.8515763","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515763","url":null,"abstract":"Brain tumor is one of the most dangerous diseases which require early and accurately detection methods, now most detection and diagnosis methods depend on decision of neurospecialists, and radiologist for image evaluation which possible to human errors and time consuming. This study reviews and describe the processes and techniques used in detection brain tumor based on magnetic resonance imaging (MRI) and artificial neural networks (ANN) techniques, Which executed in the different steps of Computer Aided Detection System (CAD) after collected the image data (MRI); first stage is pre-processing and post-processing of MRI images to enhancement it and make it more suitable to analysis then used threshold to segment the MRI images by applied mean gray level method. In the second stage was used the statistical feature analysis to extract features from images; the features computed from equations of Haralick’s features based on the spatial gray level dependency matrix (SGLD) of images. Then selected the suitable and best features to detect the tumor localization. In the third stage the artificial neural networks were designed; the feedforward back propagation neural network with supervised learning were apply as automatic method to classify the images under investigation into tumor or none tumor. the network performances was evaluated successfully tested and achieved the best results with accuracy of 99%, and sensitivity 97.9%.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"34 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78762521","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 : 2018-08-01DOI: 10.1109/ICCCEEE.2018.8515898
Ashraf M. A Khadam, K. Ramadan, E. Hamouda
The purpose of this paper is to assess the main schemes to be utilized in East African countries based on evidence obtained in many countries to directly address geothermal resource risk, and to show the major incentives to be applied in this sector to mobilize and attract the necessary investment for geothermal development. Some successful experiences in East African region will be discussed and analyzed. Also this paper introduces the geothermal potential in Sudan and set a road map towards much engagement of geothermal polices adoption. This paper points out the potential contribution of oil operating companies to support geothermal development. An example of data collected from oil well in a certain location in Sudan has been analyzed by using statistical software called Minitab. The findings of this analysis gave useful results to be mainstreamed to different locations.
{"title":"Geothermal Mainstream Adoption through Risk Mitigation in Sudan","authors":"Ashraf M. A Khadam, K. Ramadan, E. Hamouda","doi":"10.1109/ICCCEEE.2018.8515898","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515898","url":null,"abstract":"The purpose of this paper is to assess the main schemes to be utilized in East African countries based on evidence obtained in many countries to directly address geothermal resource risk, and to show the major incentives to be applied in this sector to mobilize and attract the necessary investment for geothermal development. Some successful experiences in East African region will be discussed and analyzed. Also this paper introduces the geothermal potential in Sudan and set a road map towards much engagement of geothermal polices adoption. This paper points out the potential contribution of oil operating companies to support geothermal development. An example of data collected from oil well in a certain location in Sudan has been analyzed by using statistical software called Minitab. The findings of this analysis gave useful results to be mainstreamed to different locations.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"17 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78900370","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 : 2018-08-01DOI: 10.1109/ICCCEEE.2018.8515826
Mohamed Ali, R. Hamad, Mohanned Ahmed
Gliomas comprise about 80% of all malignant brain tumors and have the lowest survival rate of all brain tumors. Segmentation of tumors is an important step in evaluating the tumor, preparing the treatment plan and estimating the patient survival period. Tumor tissues have a distinguishable appearance in MRI images so they are widely used for brain tumor segmentation. Many solutions were proposed to automate brain tumor segmentation but convolutional neural networks (CNNs) have the most promising results. Tens of neural networks were proposed for tumor segmentation but they still did not achieve good enough accuracies to be deployed in real-world applications. In this paper, we focused on optimizing patch-wise classifier CNN and the results obtained are discussed to show the effect of some design decision taken. We evaluated the segmentation results using the Dice Similarity Coefficient (DSC). The results of this paper can be used to improve existing models or as a guideline for developing new CNN models. Finally, we point out possible future directions for research.
{"title":"Optimizing Convolutional Neural Networks for Brain Tumor Segmentation in MRI Images","authors":"Mohamed Ali, R. Hamad, Mohanned Ahmed","doi":"10.1109/ICCCEEE.2018.8515826","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515826","url":null,"abstract":"Gliomas comprise about 80% of all malignant brain tumors and have the lowest survival rate of all brain tumors. Segmentation of tumors is an important step in evaluating the tumor, preparing the treatment plan and estimating the patient survival period. Tumor tissues have a distinguishable appearance in MRI images so they are widely used for brain tumor segmentation. Many solutions were proposed to automate brain tumor segmentation but convolutional neural networks (CNNs) have the most promising results. Tens of neural networks were proposed for tumor segmentation but they still did not achieve good enough accuracies to be deployed in real-world applications. In this paper, we focused on optimizing patch-wise classifier CNN and the results obtained are discussed to show the effect of some design decision taken. We evaluated the segmentation results using the Dice Similarity Coefficient (DSC). The results of this paper can be used to improve existing models or as a guideline for developing new CNN models. Finally, we point out possible future directions for research.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"12 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76675046","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 : 2018-08-01DOI: 10.1109/ICCCEEE.2018.8515808
Hiba Abdulaziz, A. Elnahas, Alaa Daffalla, Yossra Noureldien, A. Kheiri, E. Özcan
Wind is a promising source of renewable energy which can be harvested using wind turbines placed on farms. An efficient wind farm layout achieving various engineering and financial objectives is crucial to ensure the sustainability and continuity of energy production. In this study, a high-level search technique, namely late acceptance selection hyper-heuristic is applied to optimise the layout of wind farms. This approach aims to find the best placement of turbines at a given site, maximising the energy output while minimising the cost at the same time. The computational experiments indicate that the late acceptance selection hyper-heuristic improves upon the performance of a previously proposed genetic algorithm across all scenarios and an iterated local search over the majority of scenarios considering the best solutions obtained by each algorithm over the runs.
{"title":"Late Acceptance Selection Hyper-heuristic for Wind Farm Layout Optimisation Problem","authors":"Hiba Abdulaziz, A. Elnahas, Alaa Daffalla, Yossra Noureldien, A. Kheiri, E. Özcan","doi":"10.1109/ICCCEEE.2018.8515808","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515808","url":null,"abstract":"Wind is a promising source of renewable energy which can be harvested using wind turbines placed on farms. An efficient wind farm layout achieving various engineering and financial objectives is crucial to ensure the sustainability and continuity of energy production. In this study, a high-level search technique, namely late acceptance selection hyper-heuristic is applied to optimise the layout of wind farms. This approach aims to find the best placement of turbines at a given site, maximising the energy output while minimising the cost at the same time. The computational experiments indicate that the late acceptance selection hyper-heuristic improves upon the performance of a previously proposed genetic algorithm across all scenarios and an iterated local search over the majority of scenarios considering the best solutions obtained by each algorithm over the runs.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"235 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77343428","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 : 2018-08-01DOI: 10.1109/ICCCEEE.2018.8515818
N. S. Shahrun, A. F. Y. Mohammed, Rudy Ramlie, S. Newaz, A. T. Wan
Software Delined Networking (SDN) has paved the way for cost effective, energy efficient, and flexible and dynamic network structure. In SDN, a controller sets routing path for the data plane consisting of several switches. If an incoming packet is not known to a switch, the switch needs to invoke the controller, in turn the controller facilitates forwarding path for that packet. In case when a station is mobile (e.g., mobile phone or laptop), the controller needs to update the SDN forwarding path whenever the Mobile Terminal (MT) gets attached with a new switch. This will result in increasing location update overhead at not only the controller but also all the intermediate switches between the main controller and Leaf Switch (LS). Some of the existing research efforts consider both SDN forwarding path update and Layer 3 location update whenever a MT attaches with a new LS. In our study, we have realized that if mobile IP over SDN is managed, a network operator will end up imposing additional location update cost. In this paper, a novel overlay SDN topology is proposed in order to manage location update of MTs. In this contribution, a MT maintains its location update with a Root Switch (RS), which is in charge of tracking location of MTs within a cluster of cells, as long as the MT stays within the cluster (regional area). However, if the MT moves out of the regional area, in our proposal, there will be a location update at the main controller. Results obtained through numerical analysis reveal that proposed overlay topology based location update mechanism in SDN can lead to reduced location update cost noticeably.
{"title":"An Energy Efficient Mobility Management Mechanism in Software Defined Networking (SDN)","authors":"N. S. Shahrun, A. F. Y. Mohammed, Rudy Ramlie, S. Newaz, A. T. Wan","doi":"10.1109/ICCCEEE.2018.8515818","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515818","url":null,"abstract":"Software Delined Networking (SDN) has paved the way for cost effective, energy efficient, and flexible and dynamic network structure. In SDN, a controller sets routing path for the data plane consisting of several switches. If an incoming packet is not known to a switch, the switch needs to invoke the controller, in turn the controller facilitates forwarding path for that packet. In case when a station is mobile (e.g., mobile phone or laptop), the controller needs to update the SDN forwarding path whenever the Mobile Terminal (MT) gets attached with a new switch. This will result in increasing location update overhead at not only the controller but also all the intermediate switches between the main controller and Leaf Switch (LS). Some of the existing research efforts consider both SDN forwarding path update and Layer 3 location update whenever a MT attaches with a new LS. In our study, we have realized that if mobile IP over SDN is managed, a network operator will end up imposing additional location update cost. In this paper, a novel overlay SDN topology is proposed in order to manage location update of MTs. In this contribution, a MT maintains its location update with a Root Switch (RS), which is in charge of tracking location of MTs within a cluster of cells, as long as the MT stays within the cluster (regional area). However, if the MT moves out of the regional area, in our proposal, there will be a location update at the main controller. Results obtained through numerical analysis reveal that proposed overlay topology based location update mechanism in SDN can lead to reduced location update cost noticeably.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"80 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85835740","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 : 2018-08-01DOI: 10.1109/ICCCEEE.2018.8515877
Mohamed Abdulnabi, Hisham Ahmed
In Data Integrity, Cyclic Redundancy Check (CRC) is error detection technique. CRC treat a group of binary bits of a message by dividing it by a fixed binary number, the resulted remainder is the checksum that will be attached to the message. On the receiver side the same division could be performed and the receiver can compare the remainder with the transmitted checksum. This paper explains the design of CRC32 that used in Ethernet using Field Programmable Gate Array (FPGA) Virtex-7. The design built based on lookup tables and slicing-by-16 algorithm that performed the calculations of the CRC32 in parallel. Xilinx ISE used as IDE and I-Sim used for the simulation. The resulted processing time is equal to 1.250 ns with low power consumption and low device utilization.
{"title":"Design of Efficient Cyclic Redundancy Check-32 using FPGA","authors":"Mohamed Abdulnabi, Hisham Ahmed","doi":"10.1109/ICCCEEE.2018.8515877","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515877","url":null,"abstract":"In Data Integrity, Cyclic Redundancy Check (CRC) is error detection technique. CRC treat a group of binary bits of a message by dividing it by a fixed binary number, the resulted remainder is the checksum that will be attached to the message. On the receiver side the same division could be performed and the receiver can compare the remainder with the transmitted checksum. This paper explains the design of CRC32 that used in Ethernet using Field Programmable Gate Array (FPGA) Virtex-7. The design built based on lookup tables and slicing-by-16 algorithm that performed the calculations of the CRC32 in parallel. Xilinx ISE used as IDE and I-Sim used for the simulation. The resulted processing time is equal to 1.250 ns with low power consumption and low device utilization.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"22 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87403735","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 : 2018-08-01DOI: 10.1109/ICCCEEE.2018.8515767
E. O. Elamin, Wadah.M. Alawad, Elwasila Yahya, Abdallah Abdeen, Y. M. Alkasim
in this paper, a vehicle tracking system has been person is drunk, after identify them the sensor will stop the car proposed utilizing the Global Position System ’GPS” takes the information work in regular basis via satellite, and the Global System for Mobile communication ’GSM” to send and receive data between the user and the system. The interaction between the user and the car is designed to be via Short Message System “SMS”. As well as in case of theft or scope of work departure, the user has the capability of turning car engine off remotely. Although, alcohol sensor is used to switch off the car in case of drunk driver. To keep save distance in front of the car, ultra-sonic sensor is used. The system has been design using computer software then hardware implemented, results have been obtained which showed accuracy in positioning and fast response to user commands.
{"title":"Design of Vehicle Tracking System","authors":"E. O. Elamin, Wadah.M. Alawad, Elwasila Yahya, Abdallah Abdeen, Y. M. Alkasim","doi":"10.1109/ICCCEEE.2018.8515767","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515767","url":null,"abstract":"in this paper, a vehicle tracking system has been person is drunk, after identify them the sensor will stop the car proposed utilizing the Global Position System ’GPS” takes the information work in regular basis via satellite, and the Global System for Mobile communication ’GSM” to send and receive data between the user and the system. The interaction between the user and the car is designed to be via Short Message System “SMS”. As well as in case of theft or scope of work departure, the user has the capability of turning car engine off remotely. Although, alcohol sensor is used to switch off the car in case of drunk driver. To keep save distance in front of the car, ultra-sonic sensor is used. The system has been design using computer software then hardware implemented, results have been obtained which showed accuracy in positioning and fast response to user commands.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"135 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84028263","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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