Yindong Zi, Zhenglin Cao, M. Li, Jundong Yang, Haijiang Li, Hai-ying Li
{"title":"A Three-dimensional Packing Optimization Model for UAV Rescue","authors":"Yindong Zi, Zhenglin Cao, M. Li, Jundong Yang, Haijiang Li, Hai-ying Li","doi":"10.1109/ICEIEC49280.2020.9152298","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152298","url":null,"abstract":"With the development of UAV technology, it is possible to build an efficient disaster response system. Our goal is to build a real-time disaster response system. For recommending the configuration of UAVS and medical package and simplifying the solution process, we roughly determine the preliminary location of three container locations firstly. For designing the associated packing configuration for three ISO cargo containers we established Three-dimensional packing optimization model. We found that when three containers correspond to three separate locations, Container P1 serves the nearest two locations and loads 2691 Med1 and 1638 Med2 and a B UAV at the same time. Container P2 serves the two nearest demand points and needs to load 2042 med1, 1361 mED2 and 1361 med3 and a C-type UAV. Container Placement Point P3 serves the nearest demand point with 3618 med1 and a B UAV loaded simultaneously. The loading efficiency of each container is 91.04%, 91.23% and 90.81% respectively.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133472234","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}
Hua Zaijun, Huang Fengchen, Liu Jianni, Fan Xiang-ning
{"title":"Inverse Class-E Power Amplifier with Series Filter","authors":"Hua Zaijun, Huang Fengchen, Liu Jianni, Fan Xiang-ning","doi":"10.1109/ICEIEC49280.2020.9152359","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152359","url":null,"abstract":"An inverse class-E power amplifier (PA) with series filter is proposed in this paper. The basic waveforms of the circuit are analyzed, design equations are derived and the element values are calculated. The characteristics such as output power capability, maximum operational frequency of the inverse class-E PA with series filter are revealed. A design example is given, and simulation is carried out to verify the proposed theoretical calculation. The simulation results of the PA agree well with the theoretical analysis, which achieves drain efficiency of 98.9%. The proposed inverse class-E PA with series filter is dual type of the class-E PA with shunt filter.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115350941","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}
Fengyi Wang, Pengpeng Li, Shuibin Zhong, Shaojie Ni
{"title":"A Fitting Method of RF Channel Group Delay Characteristics for High Precision Navigation","authors":"Fengyi Wang, Pengpeng Li, Shuibin Zhong, Shaojie Ni","doi":"10.1109/ICEIEC49280.2020.9152281","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152281","url":null,"abstract":"The group delay and amplitude characteristics of the receiver signal channel are mainly determined by the Radio Frequency front-end, whose amplitude and phase characteristics can be approximated to a nonlinear phase band-pass filter. Among them, group delay has a great influence on high-precision navigation and positioning system. In the high-precision navigation receiver, in order to better evaluate the influence of group delay characteristics on the receiver, it is necessary to accurately measure the group delay characteristics of the receiver and fit it with high-precision. Based on the group delay characteristics of the receiver channel measured by the vector network analyzer, this paper proposes a fitting method which combines the piecewise fitting and the Fourier decomposition. Through the experimental simulation, it can be concluded that this method has the advantages of high precision and small computation compared with the polynomial fitting method based on the least square method (LSM) and approximate fitting method of group delay Fourier decomposition.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128437841","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}
{"title":"Estimation of UAV to UAV Performance as a Hotspot by Proposed Friss Model on Downlink AF Co-operative NOMA","authors":"Kwame Sarfo, Khaeo Wang, Kwadwo Ntiamoah-Sarpong","doi":"10.1109/ICEIEC49280.2020.9152365","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152365","url":null,"abstract":"the advent of unmanned aerial vehicles (UAVs) has brought about a new paradigm of development in different sectors of technology. One such area is the communication industry. Telecommunication operators are finding ways to improve coverage, capacity, and security. One alternative that can be applied to enhance the performance of the Wi-Fi hotspot is unmanned aerial vehicles. In many situations where the distance between a base station and mobile subscribers is very long, it is sometimes difficult to attain good coverage by mobile users. To this end, UAVs can be applied to support the transmission of signals to these users. In this paper, we study the following UAV relay scenarios: fixed-gain amplify-and-forward (AF) relay co-operative, the theoretical path loss by Friss method, use of QPSK modulation and outage probability. Simulation results demonstrate improvements in performance compared to the theoretical acknowledged type.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"58 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121007062","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}
{"title":"A Design of Hybrid Automatic Repeat Request Scheme Based on Systematic Polar Codes","authors":"Quanyv Wang, Panpan Fu, Shouzhen Zhang","doi":"10.1109/ICEIEC49280.2020.9152326","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152326","url":null,"abstract":"Hybrid Automatic Repeat reQuest (HARQ) technology which is widely used in modern communication systems is a combination of ARQ technology and Forward Error Control (FEC) technology. Finding a high-performance FEC coding scheme has a great influence on the performance of HARQ system. Therefore, a new HARQ scheme based on systematic polar codes is designed in this paper. Besides, convolutional coded HARQ scheme, LDPC coded HARQ scheme and Turbo coded HARQ scheme are also simulated in our work as a comparison. In the simulation results, we mainly discuss the following three performance metrics of HARQ system: throughput efficiency, average number of transmission and frame error rate (FER). The simulation results show that, in the low Signal-to-Noise Ratio (SNR) regime, the throughput efficiency gap between the systematic polar coded HARQ scheme and the Turbo coded HARQ scheme is very small. More specifically, the proposed systematic polar coded HARQ scheme is only about 0.5dB away from the Turbo coded HARQ scheme in terms of the throughput efficiency. By the simulation of the average number of transmission, it shows that there is a slight gap between the systematic polar coded HARQ scheme and the Turbo coded HARQ scheme. Besides, as the SNR goes higher, the gap is getting smaller and smaller. The performance of FER of systematic polar coded HARQ scheme is slightly worse than that of Turbo coded HARQ scheme, but better than that of convolutional coded HARQ scheme and LDPC coded HARQ scheme.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133662455","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}
{"title":"A Fast Coordinate Descent Algorithm Improving both Coverage and Capacity in Cellular Networks","authors":"Wei An, Yaxi Liu, W. Huangfu","doi":"10.1109/ICEIEC49280.2020.9152354","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152354","url":null,"abstract":"It is an essential task for mobile operators to extend the coverage and improve the capacity by adjusting the radio parameters in cellular networks, especially in self-organizing networks. In the existing algorithm, the decoration of target local performance is neglected, which severely deteriorates the algorithm efficiency. In this paper, we propose a hierarchy-induced coordinate descent algorithm, which focuses on the local decoration of the target function to solve the coverage and capacity optimization problems by obtaining the optimal antenna tilt and azimuth settings in cellular networks. Such algorithm alternatively executes the optimization step decision where the original complex constrained optimization problem is converted into a non-constrained simple one with the penalty term and the optimization variable selection that balances the influences of the hierarchy and the distance according to different system parameter settings. Besides, in the optimization step decision mentioned above, we adopt the non-linear interpolation to obtain the optimal optimization direction and its corresponding length.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132431446","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}
Xiong Gao, Dayu Zhang, Weidong Bao, Xiaomin Zhu, Hui Yan
{"title":"Energy-efficient Cooperative Storage Scheduling for Mobile Edge Cloud under Unstable Communication Conditions","authors":"Xiong Gao, Dayu Zhang, Weidong Bao, Xiaomin Zhu, Hui Yan","doi":"10.1109/ICEIEC49280.2020.9152366","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152366","url":null,"abstract":"Due to the explosive growth of data volume, the inherently limited storage capacity of mobile devices is difficult to meet current application requirements, and improving storage capacity by adding hardware is costly. Mobile edge cloud composed of several mobile devices can greatly expand storage capacity and attracts widespread attention. This paper studies the problem of cooperative storage for mobile edge cloud under unstable communication conditions. Firstly, we model the energy consumption of the cooperative storage process. Secondly, an energy-efficient cooperative storage scheduling algorithm is designed to minimize storage energy consumption under unstable communication conditions. Finally, comparison experiments show the superiority of the proposed algorithm over the other two existing strategies.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"428 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131885688","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}
{"title":"Convolutional Neural Network based Matchmaking for Service Oriented System Construction","authors":"Junju Liu","doi":"10.1109/ICEIEC49280.2020.9152343","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152343","url":null,"abstract":"In recent years, service-oriented computing, as a new computing paradigm, has been developed rapidly. Following this trend, more and more Web services and cloud services have been developed and made publicly available on the Web. These publicly available services will be important components for service-oriented system construction. However, these large numbers of services increase the burden of service selection in service-oriented system construction. This paper proposes a convolutional neural network-based service matchmaking approach to match services according to developer requests in service-oriented system construction. In the model, the convolutional neural network aims to learn the semantic feature representation for matchmaking. We experimented on a real-world dataset, ProgammableWeb.com, and experiment results show that the proposed approach can help find relevant services according to developer requests.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123305724","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}
Wei Li, R. Liu, Yong Dai, Dayang Wang, Hao Cai, Jin Fan, Yang Li
{"title":"Research on Network Slicing for Smart Grid","authors":"Wei Li, R. Liu, Yong Dai, Dayang Wang, Hao Cai, Jin Fan, Yang Li","doi":"10.1109/ICEIEC49280.2020.9152315","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152315","url":null,"abstract":"With the maturity of wireless communication technology, the ubiquitous power Internet of things (PIoT) has also been developed rapidly in recent years. Due to the wide variety of power services, different services have different requirements for communication networks. Therefore, the feasibility of network slicing technology in the PIoT needs to be considered. In this paper, we first introduce the key technologies of network slicing. Then, we analyze the power services and its requirements on wireless communication. And finally, we study the combination point of network slicing technology and different services of smart grid.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"257 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114297878","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}
{"title":"Research on Teachers’ Behavior in the Class Recognition on Based on Text Classification Technology","authors":"Qing Han, L. Luo, Zhong Sun","doi":"10.1109/ICEIEC49280.2020.9152304","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152304","url":null,"abstract":"Teachers’ behavior in the classroom is the key factor that affects the quality of teaching and students’ learning. In order to improve the accuracy of teachers’ behavior in the classroom recognition, this study uses multiple in-depth learning models to identify teachers’ behavior in the classroom. Before the experiment, the teacher’s behaviors are marked and classified. The teacher’s speech is divided into sentences as the experimental data. The experiments use the model of deep learning technology for classification. Finally, by comparing the indicators in each model, this paper verifies that the use of deep learning technology can effectively and automatically identify teachers’ teaching behavior in the class and realize the automatic classification of classroom teachers’ behavior. The research shows that the use of deep learning text classification technology to identify teacher behavior can significantly reduce the cost of classroom teacher behavior analysis, improve the efficiency and timeliness of analysis.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125801140","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}