Pub Date : 2015-05-21DOI: 10.1109/EIT.2015.7293402
M. Norouzi, Edidiong Attang, Yuteng Wu, Robert B. Ellis, G. Atkin
In this paper, we study the performance of space time block code (STBC) under the constraint that the receiver must rely on imperfect channel state information. This is done in order to verify and compare the performance that can be expected in an actual space time code system. The sensitivity and robustness of space-time block codes to varying levels of error in the amplitude and phase of the estimates will be illustrated using a series of simulations. This new information could be used to help design and verify the performance of a channel estimation scheme based on the insertion of pilot sequences into the data stream of each transmit antenna. The imperfect channel estimates will be created by taking the actual fading coefficients introduced into the channel and applying some degree of error into either the magnitude or the phase of those coefficients before decoding. This simulates the inability of an estimation scheme to predict the channel characteristics with perfect accuracy.
{"title":"Impact of channel estimation errors on the performance of space time code","authors":"M. Norouzi, Edidiong Attang, Yuteng Wu, Robert B. Ellis, G. Atkin","doi":"10.1109/EIT.2015.7293402","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293402","url":null,"abstract":"In this paper, we study the performance of space time block code (STBC) under the constraint that the receiver must rely on imperfect channel state information. This is done in order to verify and compare the performance that can be expected in an actual space time code system. The sensitivity and robustness of space-time block codes to varying levels of error in the amplitude and phase of the estimates will be illustrated using a series of simulations. This new information could be used to help design and verify the performance of a channel estimation scheme based on the insertion of pilot sequences into the data stream of each transmit antenna. The imperfect channel estimates will be created by taking the actual fading coefficients introduced into the channel and applying some degree of error into either the magnitude or the phase of those coefficients before decoding. This simulates the inability of an estimation scheme to predict the channel characteristics with perfect accuracy.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124147669","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293361
T. Gonnot, Won-Jae Yi, Ehsan Monsef, J. Saniie
This paper presents the design of a robust framework for body sensor network. In this framework, sensor nodes communicate using 6LoWPAN, running on the Contiki operating system, which is designed for energy efficiency and configuration flexibility. Furthermore, an embedded router is implemented using a Raspberry Pi to bridge the information to a Bluetooth capable smartphone. Consequently, the smartphone can process, analyze, compress and send the data to the cloud using its data connection. One of the major application of this framework is home patient monitoring, with 24/7 data collection capability. The collected data can be sent to a doctor at any time, or only when an anomaly is detected.
{"title":"Robust framework for 6LoWPAN-based body sensor network interfacing with smartphone","authors":"T. Gonnot, Won-Jae Yi, Ehsan Monsef, J. Saniie","doi":"10.1109/EIT.2015.7293361","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293361","url":null,"abstract":"This paper presents the design of a robust framework for body sensor network. In this framework, sensor nodes communicate using 6LoWPAN, running on the Contiki operating system, which is designed for energy efficiency and configuration flexibility. Furthermore, an embedded router is implemented using a Raspberry Pi to bridge the information to a Bluetooth capable smartphone. Consequently, the smartphone can process, analyze, compress and send the data to the cloud using its data connection. One of the major application of this framework is home patient monitoring, with 24/7 data collection capability. The collected data can be sent to a doctor at any time, or only when an anomaly is detected.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132697116","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293388
Yu Yuan, C. G. Martin, E. Oruklu
In order to suppress the short channel effects and improve the scalability of transistors, FinFET devices have been proposed and increasingly adopted as successor of the conventional bulk CMOS. In this paper, we describe the characterization of a standard cell library based on FinFET, using the Predictive Technology Model (PTM) and BSIM-CMG models recently made available. RTL synthesis and HSPICE simulation results are presented to verify the correctness of the library, and performance is compared against conventional planar CMOS technology.
{"title":"Standard cell library characterization for FinFET transistors using BSIM-CMG models","authors":"Yu Yuan, C. G. Martin, E. Oruklu","doi":"10.1109/EIT.2015.7293388","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293388","url":null,"abstract":"In order to suppress the short channel effects and improve the scalability of transistors, FinFET devices have been proposed and increasingly adopted as successor of the conventional bulk CMOS. In this paper, we describe the characterization of a standard cell library based on FinFET, using the Predictive Technology Model (PTM) and BSIM-CMG models recently made available. RTL synthesis and HSPICE simulation results are presented to verify the correctness of the library, and performance is compared against conventional planar CMOS technology.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130519699","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293342
Atlal El-Assaad, Z. Dawy, G. Nemer, F. Kobeissy
The activation of cysteine proteases, calpain and caspase-3, which orchestrate the two major types of cell death, necrosis and apoptosis in various neurological and neurodegenerative disorders, drive cleavage of susceptible cellular proteins whose Breakdown Products (BDPs) can be utilized as biochemical markers; these markers can distinguish the molecular root causes among different types of neural cell death. There is an immense need to make such distinction between calpain and caspase-dependant dominated types of cell injury which is crucial in order to identify the injury mechanisms; thus, creating opportunities for neurotherapy development. Calpain protease is activated in various necrotic and apoptotic conditions generating calpain-specific cleaved fragments, while caspase-3 is predominantly activated in neuronal apoptosis generating caspase-3-specific cleaved fragments. Yet, despite the difference in cleavage specificity between calpain and caspase, some cellular proteins are dually susceptible to both proteases in some neurotoxic challenges such as hypoxia-hypoglycemia and excitotoxin treatment. During their activation, it is difficult to identify the resulting fragments despite the advanced experimental proteomics techniques in the field of degradomics. Current approaches rely on experimental techniques involving western blotting technique coupled with protein sequencing to identify the sequence specific and fragmentation site of the specific BDP(s). The main purpose of this work is to establish a new efficient and accurate methodological tool based on dynamic programming to predict those BDPs computationally with an algorithm of space complexity O(mn) and time complexity O(NN'mn), where the comprised parameters correspond to number of protein sequences, number of consensus sequences, length of each protein sequence, and length of each consensus sequence, respectively. The current algorithm is based on a modification of the Cleaved Fragments Prediction Algorithm (CFPA) and achieves high homology with experimental results.
半胱氨酸蛋白酶calpain和caspase-3的激活,在各种神经和神经退行性疾病中协调两种主要类型的细胞死亡、坏死和凋亡,驱动敏感细胞蛋白的裂解,其分解产物(bdp)可以用作生化标志物;这些标志物可以区分不同类型神经细胞死亡的分子根源。有一个巨大的需要作出这样的区分钙蛋白酶和caspase依赖性主导类型的细胞损伤,这是至关重要的,以确定损伤机制;因此,为神经疗法的发展创造了机会。Calpain蛋白酶在各种坏死和凋亡条件下被激活,产生Calpain特异性的裂解片段,而caspase-3主要在神经元凋亡中被激活,产生caspase-3特异性的裂解片段。然而,尽管钙蛋白酶和半胱天冬酶在切割特异性上存在差异,一些细胞蛋白在一些神经毒性挑战(如缺氧-低血糖和兴奋毒素治疗)中对这两种蛋白酶具有双重敏感性。在它们的激活过程中,尽管在降解组学领域有先进的实验蛋白质组学技术,但很难鉴定产生的片段。目前的方法依赖于实验技术,包括western blotting技术与蛋白质测序相结合,以确定特定BDP的序列特异性和断裂位点。本工作的主要目的是建立一种新的基于动态规划的高效准确的方法工具,以空间复杂度O(mn)和时间复杂度O(NN'mn)的算法对这些bdp进行计算预测,其中组成的参数分别对应于蛋白质序列的数量、一致性序列的数量、每个蛋白质序列的长度和每个一致性序列的长度。该算法基于对Cleaved fragment Prediction algorithm (CFPA)的改进,与实验结果具有较高的同源性。
{"title":"Cleaved Fragments Prediction Algorithm (CFPA) application to calpain and caspase in apoptosis and necrotic cell death","authors":"Atlal El-Assaad, Z. Dawy, G. Nemer, F. Kobeissy","doi":"10.1109/EIT.2015.7293342","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293342","url":null,"abstract":"The activation of cysteine proteases, calpain and caspase-3, which orchestrate the two major types of cell death, necrosis and apoptosis in various neurological and neurodegenerative disorders, drive cleavage of susceptible cellular proteins whose Breakdown Products (BDPs) can be utilized as biochemical markers; these markers can distinguish the molecular root causes among different types of neural cell death. There is an immense need to make such distinction between calpain and caspase-dependant dominated types of cell injury which is crucial in order to identify the injury mechanisms; thus, creating opportunities for neurotherapy development. Calpain protease is activated in various necrotic and apoptotic conditions generating calpain-specific cleaved fragments, while caspase-3 is predominantly activated in neuronal apoptosis generating caspase-3-specific cleaved fragments. Yet, despite the difference in cleavage specificity between calpain and caspase, some cellular proteins are dually susceptible to both proteases in some neurotoxic challenges such as hypoxia-hypoglycemia and excitotoxin treatment. During their activation, it is difficult to identify the resulting fragments despite the advanced experimental proteomics techniques in the field of degradomics. Current approaches rely on experimental techniques involving western blotting technique coupled with protein sequencing to identify the sequence specific and fragmentation site of the specific BDP(s). The main purpose of this work is to establish a new efficient and accurate methodological tool based on dynamic programming to predict those BDPs computationally with an algorithm of space complexity O(mn) and time complexity O(NN'mn), where the comprised parameters correspond to number of protein sequences, number of consensus sequences, length of each protein sequence, and length of each consensus sequence, respectively. The current algorithm is based on a modification of the Cleaved Fragments Prediction Algorithm (CFPA) and achieves high homology with experimental results.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124771191","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293331
Kali Vara Prasad Naraharisetti
In this paper, the practical design of a half bridge LLC resonant converter is discussed. The results obtained using this design along with synchronous rectifier revealed an efficiency of greater than 93% which is difficult to achieve using hard switching converters. This paper describes the complete transformer design, selection of LLC components, and the design of LLC resonant converter.
{"title":"Design of half bridge LLC resonant converter using synchronous rectifier","authors":"Kali Vara Prasad Naraharisetti","doi":"10.1109/EIT.2015.7293331","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293331","url":null,"abstract":"In this paper, the practical design of a half bridge LLC resonant converter is discussed. The results obtained using this design along with synchronous rectifier revealed an efficiency of greater than 93% which is difficult to achieve using hard switching converters. This paper describes the complete transformer design, selection of LLC components, and the design of LLC resonant converter.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114391011","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293386
Yan Han, K. Virupakshappa, E. Oruklu
In this paper, a robust traffic sign recognition system is introduced for driver assistance applications and/or autonomous cars. The system incorporates two major operations, traffic sign detection and classification. The sign detection is based on color segmentation and incorporates hue detection, morphological filter and labeling. A nearest neighbor classifier is introduced for sign classification. The training features are extracted by SURF algorithm. Three feature extraction strategies are compared to find an optimal feature database for training. The proposed system benefits from the SURF algorithm, which achieves invariance to the rotated, skewed and occluded signs. Extensive experimental results show detection accuracy reaching up to 97.54%.
{"title":"Robust traffic sign recognition with feature extraction and k-NN classification methods","authors":"Yan Han, K. Virupakshappa, E. Oruklu","doi":"10.1109/EIT.2015.7293386","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293386","url":null,"abstract":"In this paper, a robust traffic sign recognition system is introduced for driver assistance applications and/or autonomous cars. The system incorporates two major operations, traffic sign detection and classification. The sign detection is based on color segmentation and incorporates hue detection, morphological filter and labeling. A nearest neighbor classifier is introduced for sign classification. The training features are extracted by SURF algorithm. Three feature extraction strategies are compared to find an optimal feature database for training. The proposed system benefits from the SURF algorithm, which achieves invariance to the rotated, skewed and occluded signs. Extensive experimental results show detection accuracy reaching up to 97.54%.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123876202","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293336
Z. Moravej, Masoud Movahhedneya, G. Radman, M. Pazoki
In this paper, an effective fault location technique based on transient voltage signals for three terminal lines using digital signal processing (DSP) method is proposed. In the proposed method, to locate the faults, Hilbert transform (HT) and discrete wavelet transform (DWT) have been used. These methods have been applied to the modal components of synchronized voltage signals. Then, by extracting the arrival time of first wave head at all terminals and a comparison between these arrival times, the algorithm of fault section identification and fault location calculation are presented. The simulated signals corresponding to different fault conditions are obtained from PSCAD/EMTDC environment and using frequency-dependent transmission line. MATLAB software is used to analyze the voltage signals and to calculate the fault location. Numerical results shows the accurate performance of the proposed methods under different fault conditions for three-terminal transmission lines.
{"title":"Effective fault location technique in three-terminal transmission line using Hilbert and discrete wavelet transform","authors":"Z. Moravej, Masoud Movahhedneya, G. Radman, M. Pazoki","doi":"10.1109/EIT.2015.7293336","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293336","url":null,"abstract":"In this paper, an effective fault location technique based on transient voltage signals for three terminal lines using digital signal processing (DSP) method is proposed. In the proposed method, to locate the faults, Hilbert transform (HT) and discrete wavelet transform (DWT) have been used. These methods have been applied to the modal components of synchronized voltage signals. Then, by extracting the arrival time of first wave head at all terminals and a comparison between these arrival times, the algorithm of fault section identification and fault location calculation are presented. The simulated signals corresponding to different fault conditions are obtained from PSCAD/EMTDC environment and using frequency-dependent transmission line. MATLAB software is used to analyze the voltage signals and to calculate the fault location. Numerical results shows the accurate performance of the proposed methods under different fault conditions for three-terminal transmission lines.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115133473","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293408
Amit Sharma, G. Tewolde
The wireless sensor networks (WSN) technology is becoming increasingly attractive for a wide range of real-world applications, mostly due to their shrinking size and cost, while demonstrating improved performances and functionalities. There is another critical factor that affects the operation of WSN, which is the power consumption of the nodes and their battery life. This paper highlights the important IEEE 802 based standards, such as ZigBee and Bluetooth 4.0+ protocols. Cost-effective and reliable systems can be implemented with the help of these protocols by considering proper software architectures. Tiny OS and FreeRTOS are open source operating-system software available for embedded applications. The OS can be integrated with drivers and software stack to achieve full functionality and offer software solutions for sensor networks applications. There are various development platforms that are available to develop low power sensor networks and nodes. While considering sensor platforms and their applications, the power consumption is one of the important factors to take into consideration. This paper provides a survey as well as an overview of the low power WSN and example hardware platforms.
{"title":"Considerations in low power wireless sensor networks","authors":"Amit Sharma, G. Tewolde","doi":"10.1109/EIT.2015.7293408","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293408","url":null,"abstract":"The wireless sensor networks (WSN) technology is becoming increasingly attractive for a wide range of real-world applications, mostly due to their shrinking size and cost, while demonstrating improved performances and functionalities. There is another critical factor that affects the operation of WSN, which is the power consumption of the nodes and their battery life. This paper highlights the important IEEE 802 based standards, such as ZigBee and Bluetooth 4.0+ protocols. Cost-effective and reliable systems can be implemented with the help of these protocols by considering proper software architectures. Tiny OS and FreeRTOS are open source operating-system software available for embedded applications. The OS can be integrated with drivers and software stack to achieve full functionality and offer software solutions for sensor networks applications. There are various development platforms that are available to develop low power sensor networks and nodes. While considering sensor platforms and their applications, the power consumption is one of the important factors to take into consideration. This paper provides a survey as well as an overview of the low power WSN and example hardware platforms.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127352663","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293421
Du Zhiqin
WeChat is an instant messaging service similar to WhatsApp developed by Tencent, one of China's largest and most used Internet service portals. This paper investigates the penetration of WeChat among university students through a questionnaire, analyzes the effect of brand influence, information quality, interactivity, opinions of opinion-leaders, promotion, personal interests on the attitudes of university students towards WeChat marketing. This paper concludes that the penetration rate of WeChat marketing among university students is generally high enough, WeChat has generally been accepted by students as a way for businesses to market their products, and that all the above-mentioned five factors play a positive role in the process of WeChat marketing. It also proposes that businesses could maximize the effect of WeChat marketing by focusing more resources on the increase of brand influence, and the interactivity of WeChat contents and the use of opinions of opinion-leaders.
{"title":"Research into factors affecting the attitudes of university students towards WeChat marketing based on AISAS mode","authors":"Du Zhiqin","doi":"10.1109/EIT.2015.7293421","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293421","url":null,"abstract":"WeChat is an instant messaging service similar to WhatsApp developed by Tencent, one of China's largest and most used Internet service portals. This paper investigates the penetration of WeChat among university students through a questionnaire, analyzes the effect of brand influence, information quality, interactivity, opinions of opinion-leaders, promotion, personal interests on the attitudes of university students towards WeChat marketing. This paper concludes that the penetration rate of WeChat marketing among university students is generally high enough, WeChat has generally been accepted by students as a way for businesses to market their products, and that all the above-mentioned five factors play a positive role in the process of WeChat marketing. It also proposes that businesses could maximize the effect of WeChat marketing by focusing more resources on the increase of brand influence, and the interactivity of WeChat contents and the use of opinions of opinion-leaders.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127425425","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 : 2015-05-21DOI: 10.1109/EIT.2015.7293437
Navid Afkar, A. Babazadeh
Transportation Network Design Problem (TNDP) is an important problem in transportation. Various approaches have been taken to solve TNDP up to now. Particle Swarm Optimization (PSO) is one of the metaheuristic search techniques to find the solution. This paper attempts to hybridize PSO algorithm with the frog leaping concept. The benefits of applying the hybridized algorithm have been tested on the Sioux Falls network which had been used in the previous efforts.
{"title":"Hybridized Particle Swarm Optimization algorithm: FROG LEAPING concept for solving transportation network design problem","authors":"Navid Afkar, A. Babazadeh","doi":"10.1109/EIT.2015.7293437","DOIUrl":"https://doi.org/10.1109/EIT.2015.7293437","url":null,"abstract":"Transportation Network Design Problem (TNDP) is an important problem in transportation. Various approaches have been taken to solve TNDP up to now. Particle Swarm Optimization (PSO) is one of the metaheuristic search techniques to find the solution. This paper attempts to hybridize PSO algorithm with the frog leaping concept. The benefits of applying the hybridized algorithm have been tested on the Sioux Falls network which had been used in the previous efforts.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130192845","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}