Sanghong Park, Jooho Jung, Sangbin Cha, Soo-Bum Kim, SeWon Youn, Iksoo Eo, B. Koo
{"title":"In-depth Analysis of the Micro-Doppler Features to Discriminate Drones and Birds","authors":"Sanghong Park, Jooho Jung, Sangbin Cha, Soo-Bum Kim, SeWon Youn, Iksoo Eo, B. Koo","doi":"10.1109/ICEIC49074.2020.9051232","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051232","url":null,"abstract":"This paper presents the classification result of various features obtained from the micro-Doppler(MD) signature of drones and birds considering the real flight scenarios. Classification results using the rotating blade and the flapping wing made of the plate and the ellipsoid demonstrate that the MD bandwidth is the most efficient feature.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122586948","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":"3D Printed Biaxial Scanning Micromirror for Biomedical Applications","authors":"Jeong-Yeon Hwang, C. Ji","doi":"10.1109/ICEIC49074.2020.9051197","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051197","url":null,"abstract":"This paper presents a new type of biaxial scanning micromirror fabricated with 3D printing technology. The fabricated device is electromagnetically actuated with external coils and moving magnets embedded in the structural layer of the device. With the fabricated device, the maximum optical scan angle of 11 degrees and 10.3 degrees have been obtained for vertical and horizontal scan modes, respectively. Proposed scanning micromirror design and fabrication approach using 3D printing can be utilized in various applications, including biomedical imaging systems with further device optimization.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122542913","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":"Dual Connectivity in Non-Stand Alone Deployment mode of 5G in Manhattan Environment","authors":"Muhammad Usman Sheikh, M. Asghar, R. Jäntti","doi":"10.1109/ICEIC49074.2020.9051202","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051202","url":null,"abstract":"The main target of this paper is to analyze the performance of an outdoor user in a dense micro cellular Manhattan grid environment using a ray launching simulation tool. The radio propagation simulations are performed using a Shoot and Bouncing Ray (SBR) method. The network performance is analyzed at three different frequencies i.e. 1.8 GHz, 3.5 GHz, and 28 GHz. Additionally, the benefits of combining LTE and potential 5G frequency bands by using feature of Dual Connectivity (DC) in an outdoor scenario has been highlighted. The considered performance metrics are received signal level, SINR, application throughput. The acquired simulation results from Manhattan canyon street environment reveal that a good 5G outdoor coverage can be provided at 3.5 GHz and 28 GHz while using existing 4G micro sites. The impact of Dual Connectivity at user's throughput is studied in this article, and it is shown user throughput can be doubled by leveraging the benefits of LTE and 5G NR together.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"56 49","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113933730","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":"Residual Energy Analysis with Physical-Layer Security for Energy-Constrained UAV Cognitive Radio Systems","authors":"W. Khalid, Heejung Yu","doi":"10.1109/ICEIC49074.2020.9050990","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9050990","url":null,"abstract":"Unmanned aerial vehicles (UAVs) based cognitive radio (CR) systems improve the sensing performance. However, such systems demand secure communication with lower power consumption. Motivated by these observations, we consider an energy-constraint yet energy harvesting (EH) drone flying periodically in the circular track around primary transmitter in the presence of an eavesdropper with an aim to use the licensed band opportunistically. Considering the trade-off between the residual energy and secondary link performance, we formulate the constrained optimization problem, i.e., maximizing residual energy under the constraint of secondary secrecy outage. Simulation results verify the proposed theoretical analysis.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128723638","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}
Reza E. Rad, Sung Jin Kim, Arash Hejazi, Muhammad Riaz ur Rehman, Zeqing Bai, Ding Ziqi, Kangyoon Lee
{"title":"A Low Power 12-Bit Pipeline ADC with 40 MS/s using a Modified OP-AMP","authors":"Reza E. Rad, Sung Jin Kim, Arash Hejazi, Muhammad Riaz ur Rehman, Zeqing Bai, Ding Ziqi, Kangyoon Lee","doi":"10.1109/ICEIC49074.2020.9051373","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051373","url":null,"abstract":"Design of a 12-bit Pipeline Analog to Digital Converter (ADC) with a 40 MS/s sampling rate using a proposed modified Operational Amplifier (OP-AMP) is presented in this paper. The ADC architecture, consists of eleven pipeline stages of ten 1.5-bit pipelined ADC stages and one flash ADC with 2-bits resolution. This design is implemented by the 90-nm CMOS process. The power consumption of the ADC is reduced by various techniques, including sample and hold (SH) less architecture, OP-AMP sharing technique, and capacitor size scaling in pipeline stages of the ADC. FFT analysis which results in the Signal to Noise and Distortion Ratio (SNDR) of 71.22 dB which means the Effective Number Of Bits (ENOB) equal to 11.53 when $mathrm{f}_{mathrm{i}mathrm{n}}$ is 4 MHz. The proposed 12-bit pipeline has 47.3 mW power consumption with a 1.2 V supply voltage.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131150463","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}
Joon-Young Yang, Kwan-Ho Park, Joon‐Hyuk Chang, Youngsam Kim, Sangrae Cho
{"title":"Investigation of DNN based Feature Enhancement Jointly Trained with X-Vectors for Noise-Robust Speaker Verification","authors":"Joon-Young Yang, Kwan-Ho Park, Joon‐Hyuk Chang, Youngsam Kim, Sangrae Cho","doi":"10.1109/ICEIC49074.2020.9051093","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051093","url":null,"abstract":"In this paper, we investigate the deep neural network (DNN) based feature enhancement as the denoising frontend of the x-vector speaker verification framework in noisy environments. Firstly, the feature enhancement DNN (FE-DNN) learns the mapping function from the noisy to the clean corpora on the frame-level acoustic feature domain, and then the x-vector network (XvectorNet) is trained on top of the enhanced features. Finally, the separately trained FE-DNN and the XvectorNet are serially concatenated and jointly trained under the supervision of cross-entropy loss. In addition., we adopt the logistic margin softmax layer for training the XvectorNet in order to obtain more discriminative speaker embeddings.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115269412","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 On-Demand Scrubbing Solution for Read Disturbance Error in Phase-Change Memory","authors":"Moon-Gone Kim, Hyuk-Jae Lee, Hyun Kim","doi":"10.1109/ICEIC49074.2020.9051213","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051213","url":null,"abstract":"Phase-change memory is a promising memory technology due to its attractive properties. However, phase-change memory is difficult to be commercialized because of its reliability issues. A read disturbance error, which is the main cause of reliability issues, occurs when a cell is repeatedly read. Conventional solution for read disturbance errors is periodically scrubbing the cells. However, this method requires read counters to count the number of reads per word. This paper proposes on-demand scrubbing solution which does not need read counters. The proposed method observes the number of errors in a word using the error-correcting code. If the number of errors is larger than the threshold, a scrubbing is performed to fix the errors. The proposed method removes nearly 1GB of hardware overhead caused by read counters, and fixes more than 99.99% of read disturbance errors.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116338630","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":"AI-based Customer Behavior Analytics System using Edge Computing Device","authors":"Prajogo Atmaja, Dalta Imam Maulana, T. Adiono","doi":"10.1109/ICEIC49074.2020.9051138","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051138","url":null,"abstract":"Customer behavior can be analyzed using an artificial intelligence algorithm, specifically object detection algorithm. However, the implementations are usually either using a cloud computing-based system or a high-end PC. These existing solutions require a high-traffic internet connection or a large-sized GPU. In this paper, we propose a system implementation using an edge-computation approach. The purpose of this paper is to port an existing deep learning-based in-store traffic monitoring system that is used for evaluating retail performance into an embedded computer, specifically NVIDIA Jetson Nano. This is done in order to minimize the cost, power consumption, and space needed to implement this system on a larger scale. The system can run in 10 frames per second using Single Shot Detector MobileNet v2 architecture.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116313120","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}
Do-Hyun Park, Geun-Ho Park, Hyoung-Nam Kim, Kyu-Ha Song, J. Ahn
{"title":"A Method for Eliminating False Detection Results in FM-radio-based Passive Bistatic Radar","authors":"Do-Hyun Park, Geun-Ho Park, Hyoung-Nam Kim, Kyu-Ha Song, J. Ahn","doi":"10.1109/ICEIC49074.2020.9051074","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051074","url":null,"abstract":"When estimating the position and velocity of a target using an FM-radio-based passive bistatic radar (PBR)., false detection results caused by sidelobes may appear due to the structure of the FM radio signal. Since such false detections can degrade the target detection performance of PBR, a sidelobe mitigation method is required. In this paper, we analyze the sidelobe generation pattern using the main channel of the FM radio signal and then propose an algorithm to remove the false detection results on the FDOA axis. Through the simulations, we verify the effectiveness of the proposed method.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116413272","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}
Hongjun Lee, Jeyeon Kim, Joong-Sik Kim, Whoiyul Kim
{"title":"A Method of Measuring Baseball Position at the Strike Zone","authors":"Hongjun Lee, Jeyeon Kim, Joong-Sik Kim, Whoiyul Kim","doi":"10.1109/ICEIC49074.2020.9051039","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051039","url":null,"abstract":"In this paper, we propose a ball position-measurement method to evaluate the performance of a baseball pitching trajectory analysis system. To evaluate the performance of the trajectory analysis system, a method of accurately measuring the actual ball position is needed. Existing methods cannot perform a highly accurate, continuous performance evaluation of the pitching trajectory analysis system. The proposed method accurately measures ball position using measuring equipment by passing the pitch through a structure in which two cameras are installed. The results demonstrated that the error was smaller than the radius of the ball at 40 points in the structure, and the system can be used for performance evaluation of the pitching trajectory analysis system.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125150116","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}