{"title":"Allocating Resource for Task Groups in MEC IoT Systems with Reinforcement Learning","authors":"C. S. Chidume, Qianyue Qi, Chao Zhang","doi":"10.1109/ICEICT51264.2020.9334278","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334278","url":null,"abstract":"The virtualization of Real World Object (RWO), coupled with its association with mobile edge computing (MEC) server, is gaining popularity in our today's internet of things (IoT) network. We see the prevalence in the savings it brings in the node's resources to execute the task by an application, thereby realizing the IoT vision. This paper looked at the interaction between a task group and the MEC server as a solution to reduce the average cost in the consumed power and delay in processing task and consequently to lead to a high network lifetime. To achieve this, we have added to the functionality of the virtual object (VO) and combined the ideas of the familiar schemes in a Mobile-edge learning and consensus algorithm. Markov's decision process is used to model a task group's choice, or the MEC server and solution got using a reinforcement learning algorithm. The simulations, when compared to some earlier schemes, showed significant improvement in power consumption, task processing delay, and network lifetime.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115040694","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":"Image Based Localization Algorithm Using Similarity Measurements and Back-Propagation Neural Network","authors":"Jun Yan, Hongliu Zhu","doi":"10.1109/ICEICT51264.2020.9334204","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334204","url":null,"abstract":"In this paper, an image based localization technique is proposed by similarity measurements and back-propagation neural network (BPNN). First, the bilinear interpolation method is used for size normalization of the obtained images. Then, the relative distance is calculated as the label of each collection position. The image similarity measurements, such as cosine, Hist and SSIM similarity are chosen as the fingerprint of the collection position. At last, the BPNN is utilized for regression learning and obtain the distance based regression function. Field tests show that the proposed algorithm can obtain more accurate position estimation than other existing image based localization approaches.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132731829","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":"An Improved Simplified Soft Demodulation Algorithm for 64QAM Signal","authors":"Di Mao, Chilian Chen, B. Bai","doi":"10.1109/ICEICT51264.2020.9334307","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334307","url":null,"abstract":"M-QAM is very favorable in high speed communication systems, because it could enhance the frequency spectrum utilization. In this paper, we propose an improved simplified soft demodulation algorithm for 64QAM signal through fundamental principle and simulation analysis. The new algorithm optimizes the decision calculation rules, which greatly reduces the amounts of calculation with almost no system performance loss, and it has high practical value.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134321597","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}
Y. Wang, Xiangru Wang, Yu Wang, Chengyong Yu, Wenzhao Zhang, Feng Liang, Zhiyong Zhang, Shihan Gao, Jie Chen
{"title":"Reconfigurable Microwave Phase Shifter Based on Nematic Liquid Crystal: Design and Experimental Validation","authors":"Y. Wang, Xiangru Wang, Yu Wang, Chengyong Yu, Wenzhao Zhang, Feng Liang, Zhiyong Zhang, Shihan Gao, Jie Chen","doi":"10.1109/ICEICT51264.2020.9334332","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334332","url":null,"abstract":"In this paper, a low-cost microstrip line structure microwave phase shifter based on nematic liquid crystal materials is discussed. The device is built on a glass substrate: the two ports of this device have the coplanar waveguides (CPWs) with 50Ω impedance structure to feed the energies or extract signals at both ends of the phase shifter. The simulation validate the phase shift can reach 360 degrees, and the S21 parameter reaches −4.5dB in the frequency band 28-30Ghz. The practical device shows S21 insertion loss is −12~-15dB, the phase shift can reach 360 degrees, and it works well between +10°C~+65 °C. The phase-shifting repetition accuracy is less than 1 degree.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129883228","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":"An Omnidirectional Antenna with Wide Bandwidth and High Gain for WiFi-5 and WiFi-6 Applications","authors":"Baifa Yang, Haixuan Huang, Botao Feng, L. Deng","doi":"10.1109/ICEICT51264.2020.9334314","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334314","url":null,"abstract":"This paper proposes an omni-directional printed antenna with broadband and high gain for WiFi-5 and WiFi-6 applications. In order to achieve stable omnidirectional gain, both of the ground plane and the radiating elements are arranged on the same side of the printed circuit board (PCB) substrate. Over the whole working frequency band, selecting the left end of the PCB board to supply power helps to achieve good radiation pattern in the H-plane. Simulated results exhibit that a relative bandwidth of 8% (5.15-7.125 GHz) is obtained. The corresponding gain ranges from 5.14 to 7.74 dBi in the operating band, which is about 4 dBi larger than that of the conventional omnidirectional antennas.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132848892","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 Compact Microstrip Duplexer","authors":"Si-min Li, L. Luo, W. Cao","doi":"10.1109/ICEICT51264.2020.9334302","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334302","url":null,"abstract":"In this paper, a compact microstrip duplexer with relatively close channels is proposed. The ring resonator and the orthogonal-feed are directly connected to form a band elimination filter. The band elimination filter is loaded with branches to realize the band-pass filter. The design of the duplexer in the article composed of two such band-pass filters. The design method of the duplexer is introduced in detail, and verified by the experimental results of the manufactured duplexer. The central frequency of the bandpass channels is 1.45Ghz and 1.75Ghz respectively. The measurement results show that the two channels of the duplexers are close to each other, with low insertion loss and high out-of-band rejection, which are in good agreement with the simulation results.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114660831","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":"The Accurate Actual-feed Illumination Technique for the Reflector Antenna","authors":"Xinhua Yu, Jiawen Sun, Niekang Yin, Hao Zeng, Jinjun Mo, Yiying Wang","doi":"10.1109/ICEICT51264.2020.9334178","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334178","url":null,"abstract":"A shaping technique using the actual feed(AF) to illuminate the reflector antenna is proposed, which is compared with the conventional simulated feed(SF) after optimizing the reflector antenna patterns. The corresponding reflector shape is transformed by the non-uniform rational Bspline method, and its scattering field is gotten through the physical optics and Gauss-Legendre quadrature algorithms(PO-GLQ). The consequent calculated patterns by means of the actual feed are closer to the measured far-field ones than simulated feed.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131928248","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}
Dan Fang, Jia Su, Hao Li, Xiang Zhang, Yifei Fan, Tao Li
{"title":"Small Target Detection in Sea Clutter by Time-Frequency Tri-Feature based SVM Detector","authors":"Dan Fang, Jia Su, Hao Li, Xiang Zhang, Yifei Fan, Tao Li","doi":"10.1109/ICEICT51264.2020.9334232","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334232","url":null,"abstract":"A SVM detector utilizing three time-frequency features is proposed to discriminate floating small targets in sea clutter environment. The detector consists of three stages. Firstly, transform radar echoes into time-frequency domain. Then, three features, i.e. kurtosis, skewness and concentration, are extracted in the time-frequency domain. Finally, two-class support vector machine (SVM) detector is used to find floating small target under sea clutter background. The result of experiments using real datasets under different circumstances verifies the performance of our proposed method.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133895233","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":"Weak Target Detection based on Deep Neural Network under Sea Clutter Background","authors":"Yifei Fan, Shuting Tang, Siyuan Zhao, Xiang Zhang, Mingliang Tao, Jia Su","doi":"10.1109/ICEICT51264.2020.9334284","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334284","url":null,"abstract":"To upgrade the performance of the traditional radar target detecting method based on one certain threshold, this paper applies the deep learning network into target detection field, which regards radar target detection as a binary signal classification question. Since sea clutter exhibits non-stationary characteristics with high sea state condition, fractal properties of sea clutter are considered for target detection. In addition, fractal parameters of autoregressive (AR) spectrum are regarded as the feature inputs for deep learning network. Finally, real radar sea clutter data are applied for training the deep learning neutral network, and several datasets are selected to test the detecting performance of the network. From the binary classification results, the proposed method based on deep learning network performs a better detecting performance than traditional CFAR and fractal methods.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125872516","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":"Broadband Fractal Tree Metamaterial Absorber for P and L Bands Applications","authors":"Qi Li, J. Dong, Tong Li, Xiangyu Cao","doi":"10.1109/ICEICT51264.2020.9334335","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334335","url":null,"abstract":"In this paper, an ultra-thin metamaterial absorber operating in P and L bands is proposed. Three-dimensional fractal tree topology loaded with lumped resistors is adopted to produce broadband absorbing characteristics. The simulated results indicate that the operating bandwidth of the proposed metamaterial absorber is 0.7 - 2GHz with absorptivity larger than 80%.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123427287","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}