Pub Date : 2020-12-15DOI: 10.1109/ICCES51560.2020.9334634
Sameh Sherif, Y. Ghallab, M. El-Wakad, Y. Ismail
The controlling in the neuron cell activity can achieve by a different external stimulus such as electric stimulation. The neuron cell excitation can define by forming depolarize and hyperpolarize cell membrane. In this paper, we represent the effectiveness of mathematical simulation for the polarization rate. The polarization rate relies on several factors related to the excitation signal duration and the intensity of the applied electric signal. The effectiveness study and analysis of these factors improve the definition of the polarization rate.
{"title":"The Appropriate Conditions for The Electric Stimulus Pulse for The Neuron Excitation","authors":"Sameh Sherif, Y. Ghallab, M. El-Wakad, Y. Ismail","doi":"10.1109/ICCES51560.2020.9334634","DOIUrl":"https://doi.org/10.1109/ICCES51560.2020.9334634","url":null,"abstract":"The controlling in the neuron cell activity can achieve by a different external stimulus such as electric stimulation. The neuron cell excitation can define by forming depolarize and hyperpolarize cell membrane. In this paper, we represent the effectiveness of mathematical simulation for the polarization rate. The polarization rate relies on several factors related to the excitation signal duration and the intensity of the applied electric signal. The effectiveness study and analysis of these factors improve the definition of the polarization rate.","PeriodicalId":247183,"journal":{"name":"2020 15th International Conference on Computer Engineering and Systems (ICCES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132336886","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 : 2020-12-15DOI: 10.1109/ICCES51560.2020.9334576
Shady A. Abdelaal, Ahmed Hussein, H. Mostafa
The growing complexity of analog circuits poses challenging constraints on analog simulation tools. Simulation based optimization approaches have gained a lot of interest to cut down the analog circuit design time and complexity. One of these approaches is the Bayesian optimization (BO) approach, which represents the analog circuit as a black box function, and incorporates optimization goal and constraints aiming to reach the optimum design parameters with the least possible simulation iterations. In this paper, a BO approach for automated sizing of analog circuits is discussed. The proposed approach uses Gaussian Process (GP) as a surrogate model and utilizes SOBOL sampling. The proposed algorithm is validated on a two-stage op amp benchmark circuit and compared to the literature work.
{"title":"A Bayesian Optimization Framework for Analog Circuits Optimization","authors":"Shady A. Abdelaal, Ahmed Hussein, H. Mostafa","doi":"10.1109/ICCES51560.2020.9334576","DOIUrl":"https://doi.org/10.1109/ICCES51560.2020.9334576","url":null,"abstract":"The growing complexity of analog circuits poses challenging constraints on analog simulation tools. Simulation based optimization approaches have gained a lot of interest to cut down the analog circuit design time and complexity. One of these approaches is the Bayesian optimization (BO) approach, which represents the analog circuit as a black box function, and incorporates optimization goal and constraints aiming to reach the optimum design parameters with the least possible simulation iterations. In this paper, a BO approach for automated sizing of analog circuits is discussed. The proposed approach uses Gaussian Process (GP) as a surrogate model and utilizes SOBOL sampling. The proposed algorithm is validated on a two-stage op amp benchmark circuit and compared to the literature work.","PeriodicalId":247183,"journal":{"name":"2020 15th International Conference on Computer Engineering and Systems (ICCES)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132047565","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 : 2020-12-15DOI: 10.1109/icces51560.2020.9334662
{"title":"Session DSP: Digital Signal Processing","authors":"","doi":"10.1109/icces51560.2020.9334662","DOIUrl":"https://doi.org/10.1109/icces51560.2020.9334662","url":null,"abstract":"","PeriodicalId":247183,"journal":{"name":"2020 15th International Conference on Computer Engineering and Systems (ICCES)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128143396","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 : 2020-12-15DOI: 10.1109/ICCES51560.2020.9334616
Nourhan Essam, Cherif R. Salama, M. El-Kharashi, Mohamed Saleh Abouelyazid
Circuit simulation is a crucial but time-consuming step. Dense circuits and sub-circuits are significantly more expensive to simulate than sparse ones. In this paper, a novel dense sub-circuit reduction system is introduced. The proposed methodology uses dense sub-graph mining techniques on top of the model order reduction techniques to reduce the dense sub-circuits in the designs. This paper focuses on comparing four different dense sub-graph mining algorithms in the context of circuit reduction. The conducted experiments showed that the greedy approximation algorithm for edge density maximization is the most suitable for our circuit reduction problem since it provides the best results in terms of scalability on large graphs as well as the density and the size of the detected dense sub-graphs.
{"title":"Dense Sub-Circuit Reduction in RC Circuits","authors":"Nourhan Essam, Cherif R. Salama, M. El-Kharashi, Mohamed Saleh Abouelyazid","doi":"10.1109/ICCES51560.2020.9334616","DOIUrl":"https://doi.org/10.1109/ICCES51560.2020.9334616","url":null,"abstract":"Circuit simulation is a crucial but time-consuming step. Dense circuits and sub-circuits are significantly more expensive to simulate than sparse ones. In this paper, a novel dense sub-circuit reduction system is introduced. The proposed methodology uses dense sub-graph mining techniques on top of the model order reduction techniques to reduce the dense sub-circuits in the designs. This paper focuses on comparing four different dense sub-graph mining algorithms in the context of circuit reduction. The conducted experiments showed that the greedy approximation algorithm for edge density maximization is the most suitable for our circuit reduction problem since it provides the best results in terms of scalability on large graphs as well as the density and the size of the detected dense sub-graphs.","PeriodicalId":247183,"journal":{"name":"2020 15th International Conference on Computer Engineering and Systems (ICCES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129445057","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 : 2020-12-15DOI: 10.1109/ICCES51560.2020.9334654
Hussein Sarwat, Hassan Sarwat, M. Awad, S. Maged
Stroke is the second leading cause of death and a major cause of disability worldwide. Surviving a stroke will likely result in impairments that will need special care, with only 10%of stroke patients making a full recovery. The taxing amount required to assist in recovery and the scarcity of physiotherapists makes it hard and very expensive for stroke patients to seek treatment. This has caused a shift towards robotizing the process and using rehabilitation robotics for therapy and diagnosis of stroke patients, despite the high cost. This paper demonstrates a cheap diagnosing technique that uses common tools and an open-source machine learning algorithm. By using the built-in inertial measurement unit of smartphones and open-source gradient boosting, it was possible to diagnose a patient’s score when performing 3 tasks of the Fugl-Meyer upper-extremity assessment. The accuracy of the model was evaluated using 5-fold cross-validation and yielded an accuracy of 95.56%.
{"title":"Assessment of Post-Stroke Patients Using Smartphones and Gradient Boosting","authors":"Hussein Sarwat, Hassan Sarwat, M. Awad, S. Maged","doi":"10.1109/ICCES51560.2020.9334654","DOIUrl":"https://doi.org/10.1109/ICCES51560.2020.9334654","url":null,"abstract":"Stroke is the second leading cause of death and a major cause of disability worldwide. Surviving a stroke will likely result in impairments that will need special care, with only 10%of stroke patients making a full recovery. The taxing amount required to assist in recovery and the scarcity of physiotherapists makes it hard and very expensive for stroke patients to seek treatment. This has caused a shift towards robotizing the process and using rehabilitation robotics for therapy and diagnosis of stroke patients, despite the high cost. This paper demonstrates a cheap diagnosing technique that uses common tools and an open-source machine learning algorithm. By using the built-in inertial measurement unit of smartphones and open-source gradient boosting, it was possible to diagnose a patient’s score when performing 3 tasks of the Fugl-Meyer upper-extremity assessment. The accuracy of the model was evaluated using 5-fold cross-validation and yielded an accuracy of 95.56%.","PeriodicalId":247183,"journal":{"name":"2020 15th International Conference on Computer Engineering and Systems (ICCES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125426126","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 : 2020-12-15DOI: 10.1109/ICCES51560.2020.9334586
Amr Ahmed Fathy, Muhammad Haitham Said, Hagar Amir Mohamed, Sandra Safwat Rasmy, Dina M. Ellaithy
In this paper, the design and implementation of a low power low complexity FM-UWB transmitter for WBAN applications is presented. The principle building stages of the proposed transmitter (subcarrier generator, RF oscillator, and power amplifier) are described. All circuits have been designed and implemented using Cadence Tool in 130nm CMOS technology. Our low-power FM-UWB transmitter covers the frequency band 3.4-3.9GHz and involves a class-AB power amplifier (PA) to deliver an output power $gt -14$dBm to $a50 Omega$ load antenna. The PA was also implemented in 130nm, 1.2V CMOS process along with other building blocks of the transmitter. The FM-UWB transmitter consumes $398 mu W$ from 1.2V supply with 0.04mm2 active area.
本文介绍了一种用于WBAN应用的低功耗低复杂度FM-UWB发射机的设计与实现。描述了所提出的发射机的主要构建阶段(副载波发生器、射频振荡器和功率放大器)。所有电路都使用Cadence Tool在130nm CMOS技术上设计和实现。我们的低功率FM-UWB发射机覆盖3.4-3.9GHz频段，包括一个ab类功率放大器(PA)，为$a50 Omega$负载天线提供输出功率$gt -14$ dBm。PA也采用130nm, 1.2V CMOS工艺与发射器的其他构建模块一起实现。FM-UWB发射机从1.2V电源消耗$398 mu W$，活动面积为0.04mm2。
{"title":"Low-Power Low-Complexity FM-UWB Transmitter in 130nm CMOS for WBAN Applications","authors":"Amr Ahmed Fathy, Muhammad Haitham Said, Hagar Amir Mohamed, Sandra Safwat Rasmy, Dina M. Ellaithy","doi":"10.1109/ICCES51560.2020.9334586","DOIUrl":"https://doi.org/10.1109/ICCES51560.2020.9334586","url":null,"abstract":"In this paper, the design and implementation of a low power low complexity FM-UWB transmitter for WBAN applications is presented. The principle building stages of the proposed transmitter (subcarrier generator, RF oscillator, and power amplifier) are described. All circuits have been designed and implemented using Cadence Tool in 130nm CMOS technology. Our low-power FM-UWB transmitter covers the frequency band 3.4-3.9GHz and involves a class-AB power amplifier (PA) to deliver an output power $gt -14$dBm to $a50 Omega$ load antenna. The PA was also implemented in 130nm, 1.2V CMOS process along with other building blocks of the transmitter. The FM-UWB transmitter consumes $398 mu W$ from 1.2V supply with 0.04mm2 active area.","PeriodicalId":247183,"journal":{"name":"2020 15th International Conference on Computer Engineering and Systems (ICCES)","volume":"279 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114527209","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 : 2020-12-15DOI: 10.1109/ICCES51560.2020.9334620
Basma Mohsen Zakaria, A. S. Eldien, Momtaz Saad Elkholy
prepaid energy meter has been perform in many regions. Actually, the flaw of the system is the controlling behavior of the customers. The meter must be recharged. That’s why a smart meter system has been created to obtain all electrical energy consumption in a small region. The area consists of individual units like the room in the hall, the apartment in the building, the structure on the street, etc. Power grids,communications and power system simulation are designed. Data is processed and power consumption profiles are created for units for different periods of time obtained from simulations taking into account the definitions of the electricity grid, as well as taking advantage of the use of IoT advantages in how to separate power remotely when a theft is detected in an area. By using MATLAB Simulink the information was obtained from a specific apartment inside the building to calculate the energy through which the messages are displayed on the LCD screen, this system sends SMS messages to the consumer via GSM and also sends them to the electricity company in an encrypted form using arduino micro-controller.
{"title":"Development of Smart Grid System","authors":"Basma Mohsen Zakaria, A. S. Eldien, Momtaz Saad Elkholy","doi":"10.1109/ICCES51560.2020.9334620","DOIUrl":"https://doi.org/10.1109/ICCES51560.2020.9334620","url":null,"abstract":"prepaid energy meter has been perform in many regions. Actually, the flaw of the system is the controlling behavior of the customers. The meter must be recharged. That’s why a smart meter system has been created to obtain all electrical energy consumption in a small region. The area consists of individual units like the room in the hall, the apartment in the building, the structure on the street, etc. Power grids,communications and power system simulation are designed. Data is processed and power consumption profiles are created for units for different periods of time obtained from simulations taking into account the definitions of the electricity grid, as well as taking advantage of the use of IoT advantages in how to separate power remotely when a theft is detected in an area. By using MATLAB Simulink the information was obtained from a specific apartment inside the building to calculate the energy through which the messages are displayed on the LCD screen, this system sends SMS messages to the consumer via GSM and also sends them to the electricity company in an encrypted form using arduino micro-controller.","PeriodicalId":247183,"journal":{"name":"2020 15th International Conference on Computer Engineering and Systems (ICCES)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121489464","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 : 2020-12-15DOI: 10.1109/ICCES51560.2020.9334682
M. Badawy, Ehab Khater, Maha Tolba, Dina M. Ibrahim, N. El-Fishawy
Medium Access Control (MAC) protocols play an important role in underwater environment communication. There is a strong need to enhance the performance of MAC protocols in Underwater Sensor Networks (UWSNs) especially improving the adequacy of ALOHA Protocols. In this paper, a Slotted-Buffering-ALOHA protocol is proposed. This protocol is based on three components: buffering, slot time, and Carrier Sense (CS). The simulation results demonstrated a superior execution of this protocol in the throughput rate, the energy consumption, and the average delay in comparison with the three protocols: slotted ALOHA, Slotted-CS ALOHA, and ST-Slotted-CS-ALOHA protocols.
{"title":"A New Technique for Underwater Acoustic Wireless Sensor Network","authors":"M. Badawy, Ehab Khater, Maha Tolba, Dina M. Ibrahim, N. El-Fishawy","doi":"10.1109/ICCES51560.2020.9334682","DOIUrl":"https://doi.org/10.1109/ICCES51560.2020.9334682","url":null,"abstract":"Medium Access Control (MAC) protocols play an important role in underwater environment communication. There is a strong need to enhance the performance of MAC protocols in Underwater Sensor Networks (UWSNs) especially improving the adequacy of ALOHA Protocols. In this paper, a Slotted-Buffering-ALOHA protocol is proposed. This protocol is based on three components: buffering, slot time, and Carrier Sense (CS). The simulation results demonstrated a superior execution of this protocol in the throughput rate, the energy consumption, and the average delay in comparison with the three protocols: slotted ALOHA, Slotted-CS ALOHA, and ST-Slotted-CS-ALOHA protocols.","PeriodicalId":247183,"journal":{"name":"2020 15th International Conference on Computer Engineering and Systems (ICCES)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125983911","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 : 2020-12-15DOI: 10.1109/icces51560.2020.9334564
{"title":"[ICCES 2020 Blank Page]","authors":"","doi":"10.1109/icces51560.2020.9334564","DOIUrl":"https://doi.org/10.1109/icces51560.2020.9334564","url":null,"abstract":"","PeriodicalId":247183,"journal":{"name":"2020 15th International Conference on Computer Engineering and Systems (ICCES)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132839227","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 : 2020-12-15DOI: 10.1109/ICCES51560.2020.9334615
Yasmin Adel Hanafy, Mohamed Gazya, M. Mashaly, M. A. E. Ghany
The estimation of the time needed for a vehicle to reach a specific destination is one of the main focuses of navigation and Intelligent Transport Systems (ITS) as it helps both transit users and transit providers. Travel time estimation helps transportation providers to gain insight into evaluating travel routes, hence enhancing the transportation system reliability of their systems for transport users. In addition, travel time estimation helps in reducing the anxiety and stress for the travelers. Moreover, real time traffic data extremely impacts travel time estimation. Consequently, finding an accurate model for real time travel estimation is very crucial. Machine learning (ML) and its branch deep learning have proven to be efficient techniques to address this problem. Although there exists multiple ML models that estimate travel time, they are mainly offline models and they are fixed in size. Consequently, finding an adaptive online ML model is a vital task for real time travel estimation. This paper focuses comparing two adaptive online ML algorithms that operate in dynamic environment, namely multi-layer perceptron with hedge backpropagation and the greedy layer-wise pretraining. This paper shows that MLP with hedge backpropagation outperforms the greedy layer-wise pretraining algorithm. The mean square error percentages for MLP with hedge backpropagation and greedy layer-wise pretraining algorithm are reported to have values of 4.52% and 6.32%, respectively.
{"title":"A Comparison Between Adaptive Neural Networks Algorithms for Estimating Vehicle Travel Time","authors":"Yasmin Adel Hanafy, Mohamed Gazya, M. Mashaly, M. A. E. Ghany","doi":"10.1109/ICCES51560.2020.9334615","DOIUrl":"https://doi.org/10.1109/ICCES51560.2020.9334615","url":null,"abstract":"The estimation of the time needed for a vehicle to reach a specific destination is one of the main focuses of navigation and Intelligent Transport Systems (ITS) as it helps both transit users and transit providers. Travel time estimation helps transportation providers to gain insight into evaluating travel routes, hence enhancing the transportation system reliability of their systems for transport users. In addition, travel time estimation helps in reducing the anxiety and stress for the travelers. Moreover, real time traffic data extremely impacts travel time estimation. Consequently, finding an accurate model for real time travel estimation is very crucial. Machine learning (ML) and its branch deep learning have proven to be efficient techniques to address this problem. Although there exists multiple ML models that estimate travel time, they are mainly offline models and they are fixed in size. Consequently, finding an adaptive online ML model is a vital task for real time travel estimation. This paper focuses comparing two adaptive online ML algorithms that operate in dynamic environment, namely multi-layer perceptron with hedge backpropagation and the greedy layer-wise pretraining. This paper shows that MLP with hedge backpropagation outperforms the greedy layer-wise pretraining algorithm. The mean square error percentages for MLP with hedge backpropagation and greedy layer-wise pretraining algorithm are reported to have values of 4.52% and 6.32%, respectively.","PeriodicalId":247183,"journal":{"name":"2020 15th International Conference on Computer Engineering and Systems (ICCES)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133536108","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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