Pub Date : 2019-12-01DOI: 10.1109/WSCE49000.2019.9041023
Thanawat Phattaraworamet, P. Youplao
This paper presents a modified quantum key distribution (QKD) protocol with its advantage ability to against the photon number splitting (PNS) strategy. As a result of the proposed protocol with the specified parameters of $k =$ 1024 bits, $y =$ 10 bits, and the round repeating of n = 10, the eavesdropper can achieve the correct information with a probability of only 1.97 $times$ 10$^{-31}$. Moreover, the proposed protocol allows each the photon pulse can consist of a few of photons, which is valuable to the maximize photon number of $mu=$ 1 and resulting in a significant higher useful bit rate. From the simulation results, the obtained useful bits rates for each the photon pulse of 800 nm, 1300 nm, and 1550 nm, are approximately of 242.2 kbit/s, 7.4 Mbit/s, and 119.8 kBit/s, can be achieved at the distances of 20 km, 60 km, and 120 km, respectively. The QKD system parameters for each the considered wavelength are specified as: the photon pulses rate of 1 GHz and 10 GHz, the photon number of $mu=$0.1 and 1.0, The attenuations of 2.0, 0.35, and 0.25 dB/km, the detector efficiencies of 50%, 20%, and 10%, with the dark count probabilities of 10$^{-7}$, 10$^{-5}$, and 10$^{-5}$, respectively. The potential of using such the proposed protocol with a double layers QKD system is performed and discussed.
{"title":"Double Layers Quantum Key Distribution with Ability to Against PNS Attacks","authors":"Thanawat Phattaraworamet, P. Youplao","doi":"10.1109/WSCE49000.2019.9041023","DOIUrl":"https://doi.org/10.1109/WSCE49000.2019.9041023","url":null,"abstract":"This paper presents a modified quantum key distribution (QKD) protocol with its advantage ability to against the photon number splitting (PNS) strategy. As a result of the proposed protocol with the specified parameters of $k =$ 1024 bits, $y =$ 10 bits, and the round repeating of n = 10, the eavesdropper can achieve the correct information with a probability of only 1.97 $times$ 10$^{-31}$. Moreover, the proposed protocol allows each the photon pulse can consist of a few of photons, which is valuable to the maximize photon number of $mu=$ 1 and resulting in a significant higher useful bit rate. From the simulation results, the obtained useful bits rates for each the photon pulse of 800 nm, 1300 nm, and 1550 nm, are approximately of 242.2 kbit/s, 7.4 Mbit/s, and 119.8 kBit/s, can be achieved at the distances of 20 km, 60 km, and 120 km, respectively. The QKD system parameters for each the considered wavelength are specified as: the photon pulses rate of 1 GHz and 10 GHz, the photon number of $mu=$0.1 and 1.0, The attenuations of 2.0, 0.35, and 0.25 dB/km, the detector efficiencies of 50%, 20%, and 10%, with the dark count probabilities of 10$^{-7}$, 10$^{-5}$, and 10$^{-5}$, respectively. The potential of using such the proposed protocol with a double layers QKD system is performed and discussed.","PeriodicalId":153298,"journal":{"name":"2019 2nd World Symposium on Communication Engineering (WSCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130490160","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 : 2019-12-01DOI: 10.1109/wsce49000.2019.9040921
{"title":"WSCE 2019 Author Index","authors":"","doi":"10.1109/wsce49000.2019.9040921","DOIUrl":"https://doi.org/10.1109/wsce49000.2019.9040921","url":null,"abstract":"","PeriodicalId":153298,"journal":{"name":"2019 2nd World Symposium on Communication Engineering (WSCE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114441822","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 : 2019-12-01DOI: 10.1109/WSCE49000.2019.9040999
Limin Wen, Y. Ishibashi, Pingguo Huang, Y. Tateiwa, Hitoshi Ohnishi
In this paper, we handle a remote robot system with force feedback in which a user can operate a remote industrial robot by using a haptic interface device to assess influences of weight change on human perception of weight by Quality of Experience (QoE) assessment. In our assessment, when we change the weight hung from the industrial robot arm, each subject perceives the weight through the haptic interface device, and then the subject answers whether the weight has been changed. The results of the assessment show that subjects hardly feel a change in weight of less than or equal to about 10 gf.
{"title":"QoE Assessment of Weight Perception in Remote Robot System with Force Feedback","authors":"Limin Wen, Y. Ishibashi, Pingguo Huang, Y. Tateiwa, Hitoshi Ohnishi","doi":"10.1109/WSCE49000.2019.9040999","DOIUrl":"https://doi.org/10.1109/WSCE49000.2019.9040999","url":null,"abstract":"In this paper, we handle a remote robot system with force feedback in which a user can operate a remote industrial robot by using a haptic interface device to assess influences of weight change on human perception of weight by Quality of Experience (QoE) assessment. In our assessment, when we change the weight hung from the industrial robot arm, each subject perceives the weight through the haptic interface device, and then the subject answers whether the weight has been changed. The results of the assessment show that subjects hardly feel a change in weight of less than or equal to about 10 gf.","PeriodicalId":153298,"journal":{"name":"2019 2nd World Symposium on Communication Engineering (WSCE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123615166","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 : 2019-12-01DOI: 10.1109/WSCE49000.2019.9041129
T. Xifilidis, K. Psannis, G. Minopoulos, G. Kokkonis, Y. Ishibashi
In this paper, the authors investigate an energy detection scheme for Cognitive Radio (CR). The mathematical analysis of the probability density function (pdf) based Likelihood Ratio Test (LRT) statistic for deciding in favor of Primary User (PU) absence or presence proceeds by means of convolution statistics. Dynamic threshold is set for comparing with LRT test based on fixed probability of false alarm and different number of samples. Compressive Sensing (CS) based minimum required number of samples and Central Limit Theorem (CLT) based equivalent number are the two comparison benchmarks, based on Gaussian statistics. The maximum percentage from this cases is derived, in order to compare with the maximum percentage of samples above threshold to the total number of samples for the Rayleigh, Rician and Nakagami-m fading channels. A related algorithm is provided along with technical interpretation of simulation results. Conclusions finalize the paper.
{"title":"Convolution Based Energy Detection Scheme for Cognitive Radio Systems","authors":"T. Xifilidis, K. Psannis, G. Minopoulos, G. Kokkonis, Y. Ishibashi","doi":"10.1109/WSCE49000.2019.9041129","DOIUrl":"https://doi.org/10.1109/WSCE49000.2019.9041129","url":null,"abstract":"In this paper, the authors investigate an energy detection scheme for Cognitive Radio (CR). The mathematical analysis of the probability density function (pdf) based Likelihood Ratio Test (LRT) statistic for deciding in favor of Primary User (PU) absence or presence proceeds by means of convolution statistics. Dynamic threshold is set for comparing with LRT test based on fixed probability of false alarm and different number of samples. Compressive Sensing (CS) based minimum required number of samples and Central Limit Theorem (CLT) based equivalent number are the two comparison benchmarks, based on Gaussian statistics. The maximum percentage from this cases is derived, in order to compare with the maximum percentage of samples above threshold to the total number of samples for the Rayleigh, Rician and Nakagami-m fading channels. A related algorithm is provided along with technical interpretation of simulation results. Conclusions finalize the paper.","PeriodicalId":153298,"journal":{"name":"2019 2nd World Symposium on Communication Engineering (WSCE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123745427","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 : 2019-12-01DOI: 10.1109/WSCE49000.2019.9041004
W. Budiharto, Andry Chowanda, A. A. Gunawan, E. Irwansyah, J. Suroso
Precision agriculture is an important part of drone research projects today. Agriculture needs commercial drones since the industry took off: and sophisticated analytics and software combine with evolved drone solutions to allow for breakthroughs. For future farming, drones are an essential tool in precision agriculture, as they allow farmers to monitor crop and livestock conditions by air. This paper presents a literature review of the research and implementation of drones for agriculture, delivering items and GIS. We explore the methods used by drones such as implementing for pesticide sprayers in Agriculture and area mapping. Analysis and discussion then presented at the end of the paper.
{"title":"A Review and Progress of Research on Autonomous Drone in Agriculture, Delivering Items and Geographical Information Systems (GIS)","authors":"W. Budiharto, Andry Chowanda, A. A. Gunawan, E. Irwansyah, J. Suroso","doi":"10.1109/WSCE49000.2019.9041004","DOIUrl":"https://doi.org/10.1109/WSCE49000.2019.9041004","url":null,"abstract":"Precision agriculture is an important part of drone research projects today. Agriculture needs commercial drones since the industry took off: and sophisticated analytics and software combine with evolved drone solutions to allow for breakthroughs. For future farming, drones are an essential tool in precision agriculture, as they allow farmers to monitor crop and livestock conditions by air. This paper presents a literature review of the research and implementation of drones for agriculture, delivering items and GIS. We explore the methods used by drones such as implementing for pesticide sprayers in Agriculture and area mapping. Analysis and discussion then presented at the end of the paper.","PeriodicalId":153298,"journal":{"name":"2019 2nd World Symposium on Communication Engineering (WSCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126080659","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 : 2019-12-01DOI: 10.1109/WSCE49000.2019.9040996
H. Fujinoki
Today' s Internet supports a much richer private peering fabric than was previously assumed, but the existing inter-domain routing protocol, Border Gateway Protocol (BGP), does not have a mechanism to route network traffic through peering links nor has a mechanism to provide incentives to the owners of peering links to share their peeing links for public network transit service. This paper proposes a new routing protocol, Beyond-Right BGP (“BR-BGP”), to utilize hidden private peering links for inter-domain routing in the Internet, as well as a mechanism, Multi-Layer Payment Broker Architecture (MLPBA) to provide incentives to the owners of hidden private peering links to share their peering links for public transit service in a scalable manner. BR-BGP is designed with its emphases on scalability in path disseminations, signaling for path setups, and packet forwarding through peering links. Another contribution of this paper, MLPBS, is designed with its emphasis on scalability in tallying the network traffic through peering links, and in transaction fees for settling network traffic through peering links.
{"title":"Beyond-Right BGP for Utilizing Hidden Private Peering Links in the Inter-Domain Routing in the Internet","authors":"H. Fujinoki","doi":"10.1109/WSCE49000.2019.9040996","DOIUrl":"https://doi.org/10.1109/WSCE49000.2019.9040996","url":null,"abstract":"Today' s Internet supports a much richer private peering fabric than was previously assumed, but the existing inter-domain routing protocol, Border Gateway Protocol (BGP), does not have a mechanism to route network traffic through peering links nor has a mechanism to provide incentives to the owners of peering links to share their peeing links for public network transit service. This paper proposes a new routing protocol, Beyond-Right BGP (“BR-BGP”), to utilize hidden private peering links for inter-domain routing in the Internet, as well as a mechanism, Multi-Layer Payment Broker Architecture (MLPBA) to provide incentives to the owners of hidden private peering links to share their peering links for public transit service in a scalable manner. BR-BGP is designed with its emphases on scalability in path disseminations, signaling for path setups, and packet forwarding through peering links. Another contribution of this paper, MLPBS, is designed with its emphasis on scalability in tallying the network traffic through peering links, and in transaction fees for settling network traffic through peering links.","PeriodicalId":153298,"journal":{"name":"2019 2nd World Symposium on Communication Engineering (WSCE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121974636","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}
With the development of electric vehicles, more and more owners choose to buy electric vehicle. Electric vehicles have many advantages, such as environmental protection and efficiency. Nowadays, a lot of charging stations have been established, but the situation of drivers queuing for charging still happens. In this paper, we first analyzed the charging behavior in Beijing and learned the behavioral characteristics. then, we propose a new charging framework based on mobile charging vehicles (MCV). In this framework, we propose a Deep Neural Network based on Temporal Characteristics (TCDNN) to predict the charging demand of all regions of the city in the future. This helps us find areas where charging demand are high. Next, we dispatch MCVs to those areas to relieve the pressure on busy stations and also consider the scheduling cost of MCV. we find the best parking strategy of MCV by Teaching-Learning-Based optimization (TLBO). Finally, we evaluate the framework and the result demonstrate that it accurately predict all the moments with high charging demand and RMSE is 31.1% smaller than baseline model. TLBO-based MCV scheduling shortens the user waiting time by up to 73%.
{"title":"Optimized Scheduling for Urban-Scale Mobile Charging Vehicle","authors":"Hengjing Zhang, Bofu Jin, Jian Li, Jingyi Gao, Jiajun Zhao, Mingyao Hou, Guo Yu, Hengchang Liu","doi":"10.1109/WSCE49000.2019.9040972","DOIUrl":"https://doi.org/10.1109/WSCE49000.2019.9040972","url":null,"abstract":"With the development of electric vehicles, more and more owners choose to buy electric vehicle. Electric vehicles have many advantages, such as environmental protection and efficiency. Nowadays, a lot of charging stations have been established, but the situation of drivers queuing for charging still happens. In this paper, we first analyzed the charging behavior in Beijing and learned the behavioral characteristics. then, we propose a new charging framework based on mobile charging vehicles (MCV). In this framework, we propose a Deep Neural Network based on Temporal Characteristics (TCDNN) to predict the charging demand of all regions of the city in the future. This helps us find areas where charging demand are high. Next, we dispatch MCVs to those areas to relieve the pressure on busy stations and also consider the scheduling cost of MCV. we find the best parking strategy of MCV by Teaching-Learning-Based optimization (TLBO). Finally, we evaluate the framework and the result demonstrate that it accurately predict all the moments with high charging demand and RMSE is 31.1% smaller than baseline model. TLBO-based MCV scheduling shortens the user waiting time by up to 73%.","PeriodicalId":153298,"journal":{"name":"2019 2nd World Symposium on Communication Engineering (WSCE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134354607","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 : 2019-12-01DOI: 10.1109/wsce49000.2019.9041090
{"title":"[Title page]","authors":"","doi":"10.1109/wsce49000.2019.9041090","DOIUrl":"https://doi.org/10.1109/wsce49000.2019.9041090","url":null,"abstract":"","PeriodicalId":153298,"journal":{"name":"2019 2nd World Symposium on Communication Engineering (WSCE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128115652","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 : 2019-12-01DOI: 10.1109/WSCE49000.2019.9040991
Sharif H. R. Khalil, N. Namazi, Ouyang Feng
This work is concerned with the introduction and development of a technique to optimally position a Mobile Sensor (MS) in a location with adequate side lobe Radio Frequency (RF) signal power. The proposed method involves the generation of a database (DB) of side lobe power distribution for different azimuth angles of the downlink transmitted signal. The generated DB is subsequently used to train and test a Machine Learning (ML) multiclass classifier, as well as two distinct Convolution Neural Networks (CNN), to identify the desired MS location. Simulation experiments are performed which indicate a maximum accuracy of 99.25%, 96.56% and 96.10% for 8 different receiver locations.
{"title":"Mobile Sensor Location Optimization U sing Support Vector Machines with Error-Correcting Output Codes","authors":"Sharif H. R. Khalil, N. Namazi, Ouyang Feng","doi":"10.1109/WSCE49000.2019.9040991","DOIUrl":"https://doi.org/10.1109/WSCE49000.2019.9040991","url":null,"abstract":"This work is concerned with the introduction and development of a technique to optimally position a Mobile Sensor (MS) in a location with adequate side lobe Radio Frequency (RF) signal power. The proposed method involves the generation of a database (DB) of side lobe power distribution for different azimuth angles of the downlink transmitted signal. The generated DB is subsequently used to train and test a Machine Learning (ML) multiclass classifier, as well as two distinct Convolution Neural Networks (CNN), to identify the desired MS location. Simulation experiments are performed which indicate a maximum accuracy of 99.25%, 96.56% and 96.10% for 8 different receiver locations.","PeriodicalId":153298,"journal":{"name":"2019 2nd World Symposium on Communication Engineering (WSCE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130199113","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 : 2019-12-01DOI: 10.1109/WSCE49000.2019.9041112
Chih-Hung Chen, Yen-Chi Chen, Shun-Shii Lin
AlphaZero used a combination of Monte-Carlo Tree Search as well as deep neural networks that learned without human knowledge. It demonstrated that reinforcement learning by self-play could surpass the human champions. The great success of AlphaZero seems that every AI tasks can be trained and learned without any human knowledge as well as any human heuristics. But this paper presents another viewpoint: the AlphaZero approach is good at the perspective of overall situations, and miniMax search (with alpha-beta pruning) is adept in discovering partial solutions. Therefore, we introduce the Two-Phase-Win strategy to combine AlphaZero and miniMax search with alpha-beta pruning for improving AlphaZero’s strength. It has improved the strength of the AlphaZero approach applied to Connect4. The results of experiments show that the Two-Phase-Win strategy has 58% win rate against the AlphaZero approach and doesn’t lose any game in a 100-game match.
{"title":"Two-Phase-Win Strategy for Improving the AlphaZero’s Strength","authors":"Chih-Hung Chen, Yen-Chi Chen, Shun-Shii Lin","doi":"10.1109/WSCE49000.2019.9041112","DOIUrl":"https://doi.org/10.1109/WSCE49000.2019.9041112","url":null,"abstract":"AlphaZero used a combination of Monte-Carlo Tree Search as well as deep neural networks that learned without human knowledge. It demonstrated that reinforcement learning by self-play could surpass the human champions. The great success of AlphaZero seems that every AI tasks can be trained and learned without any human knowledge as well as any human heuristics. But this paper presents another viewpoint: the AlphaZero approach is good at the perspective of overall situations, and miniMax search (with alpha-beta pruning) is adept in discovering partial solutions. Therefore, we introduce the Two-Phase-Win strategy to combine AlphaZero and miniMax search with alpha-beta pruning for improving AlphaZero’s strength. It has improved the strength of the AlphaZero approach applied to Connect4. The results of experiments show that the Two-Phase-Win strategy has 58% win rate against the AlphaZero approach and doesn’t lose any game in a 100-game match.","PeriodicalId":153298,"journal":{"name":"2019 2nd World Symposium on Communication Engineering (WSCE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131735760","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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