2020 International Symposium on Computer, Consumer and Control (IS3C)最新文献

A Deployment Management of High-Availability Microservices for Edge Computing 边缘计算高可用性微服务的部署管理

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00036

Hung-Ming Chen, Shih-Ying Chen, Zhong-Xiang Zheng, TieXia Huang, Cheng-Yu Huang

引用次数: 1

Optimal Model of Obstacle Avoidance of Two-Wheeled Robots 两轮机器人避障最优模型

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00108

Jia-Hong Jhou, Chih-Liang Chen, ChinaMingxuan Sun

引用次数: 1

Using SDN to Construct Network Slicing Like Platform for 5G Service 利用SDN构建5G业务类网络切片平台

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/is3c50286.2020.00038

Hung-Chin Jang, Yu-Chiao Hsu, Han-Hsuan Lin

{"title":"Using SDN to Construct Network Slicing Like Platform for 5G Service","authors":"Hung-Chin Jang, Yu-Chiao Hsu, Han-Hsuan Lin","doi":"10.1109/is3c50286.2020.00038","DOIUrl":"https://doi.org/10.1109/is3c50286.2020.00038","url":null,"abstract":"The 5G network is designed to meet the needs of more flexible and diversified services such as Extreme Mobile broadband (eMBB), Massive Machine-Type Communication (mMTC), and Ultra-Reliable Low-Latency Communication (URLLC). The spectrum below 6GHz is insufficient to be used by the upcoming 5G services; therefore, researchers are looking to higher frequency bands, such as 6-10GHz, or even higher 20-60GHz, which belongs to extremely high frequency. The 5G transmission system is designed to comply with the concept of frontend and backend softwarization. 3GPP proposed a software-oriented network slicing technology to meet the requirements of various service scenarios more flexibly. This study used the mmWave of 20-30GHz / 30-40GHz as the experimental frequency band and used the waveform simulator, SystemVue, to generate CP-OFDM and DFT-s-OFDM waveforms. We built a flexible platform using Software-Defined Network (SDN) from end-user to the core network by integrating waveforms, mmWave, and Network Function Virtualization (NFV) to realize the versatile design of architecture and resource allocation of the 5G core network.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128704840","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}

引用次数: 0

Heterogeneous Platooning Vehicle with Robust Sensor Fault Detection and Estimation 基于鲁棒传感器的异构队列车辆故障检测与估计

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00118

Muhammad Rony Hidavatullah, J. Juang, Z. Fang, Wei-Hsuan Chang

{"title":"Heterogeneous Platooning Vehicle with Robust Sensor Fault Detection and Estimation","authors":"Muhammad Rony Hidavatullah, J. Juang, Z. Fang, Wei-Hsuan Chang","doi":"10.1109/IS3C50286.2020.00118","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00118","url":null,"abstract":"The research on ACES, which stands for Autonomous, Connected, Electric, and Shared, brings a significant impact on safe driving, fuel efficiency, traffic smoothness, and society's quality life, especially for the aging population mobility. One of the ACES services is the platooning vehicle, where a group of vehicles moves together with the cooperative adaptive cruise control (CACC) and other safety features. Sensors and vehicle-to-vehicle (V2V) communication are a crucial part of succeeding in the implementation of platooning vehicles. In this work, we consider radar and camera sensors as the primary concern. Those sensors provide relative distance and velocity between vehicles where is the key to maintain a safe distance between vehicles during platooning. In practice, both sensors are subject to several critical issues, such as faults, malfunction, and sensor degradation. Besides, in the transmission and processing of sensor data, errors may occur due to delay, noise, and cyber-attacks. These issues may affect the safety and stability of an ACES system. For a platoon operating under CACC, the string stability may be addressed. Therefore, this paper aims to solve sensor fault issues with the proposed strategy for fault detection and estimation in the presence of noise, uncertainty, and perturbation. The proposed strategy integrates parameter estimation and the state estimation approach. The modified, extended recursive least square (MERLS) with exponential forgetting factor and Kalman filter is considered to deal with the system have noise. The model is obtained by MERLS and used by the Kalman filter to detects the sensor's fault based on the residual. When the sensor fault detected, a robust estimation from the Kalman filter is employed as fault-tolerant control that guarantees impressive performance after sensor fault occurs, subject to safety and string stability.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121219437","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}

引用次数: 3

Learning Based Age Estimation Using Joint Loss and Facial Landmarks 基于关节损失和面部标志的学习年龄估计

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00035

Ming-Chen Hsu, Jian-Jiun Ding

{"title":"Learning Based Age Estimation Using Joint Loss and Facial Landmarks","authors":"Ming-Chen Hsu, Jian-Jiun Ding","doi":"10.1109/IS3C50286.2020.00035","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00035","url":null,"abstract":"Age recognition is an important technology in computer vision, surveillance systems, and commerce. It can be applied in many scenarios, including age restrictions in specific places, drinking restrictions, and reminders for underage or elderly drivers in traffic applications. In this study, we proposed an accurate age recognition algorithm, which applies the techniques of landmark-based alignment, the attention model, and the expected value method in the deep learning architecture. The algorithm consists of three stages. The first stage is data preprocessing, including face detection, cropping, face alignment (to normalize the position and angle of each face), and contrast adjustment. The second stage is a feature extraction model. It is based on the Residual Attention Model with the attention mechanism. Moreover, the domain filter, the joint loss, and the facial landmark extraction are also adopted. The third stage is the classification model. Its input is the l024-dimensional features extracted in the 2nd stage and the input image. Then, the expected value method is applied to calculate the explicit age. Simulations show that the proposed algorithm outperforms other age estimation methods and can estimate the age accurately.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131965534","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}

引用次数: 1

Biological Sound Sensor Robust to Air Conduction Noise 对空气传导噪声具有鲁棒性的生物声传感器

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00145

Naoto Murakami, Kaede Torii, Shota Nakashima

{"title":"Biological Sound Sensor Robust to Air Conduction Noise","authors":"Naoto Murakami, Kaede Torii, Shota Nakashima","doi":"10.1109/IS3C50286.2020.00145","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00145","url":null,"abstract":"In this study, wearable biological sound sensor system is proposed for measuring pulse and respiratory rate. First, polyurethane elastomer as filler is adopted to match the specific acoustic impedance with the human body and reduce air conduction sound. Furthermore, HPSS signal processing is applied to separate the acquired biological signals into vascular sounds and respiratory sounds. Moreover, to remove air conduction noise from respiratory sounds, a novel respiratory sound extraction method using convolutive non-negative matrix factorization is proposed. In the proposed CNMF-based respiratory sound extraction method, the system can learn the characteristics of the frequency change of the respiratory sound, and thus can extract only the respiratory sound. The effectiveness of the proposed new respiratory sound extraction method is verified by the accuracy of the signal-to-noise ratio and respiratory rate measurement. Finally, the proposed system will enable us to measure the body in a noisy environment, such as in daily life, and will enable early detection of respiratory and cardiovascular diseases and telemedicine.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"276 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134366678","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}

引用次数: 3

Designing AI Models for Predicting Ischemic Stroke Using Administrative Healthcare Database 利用行政医疗数据库设计预测缺血性中风的人工智能模型

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00020

Wai-Fai Tung, Fu-Hsing Wu, Po-Chou Chan, Hsuan-Hung Lin, Yung-fu Chen, Chih-Sheng Lin

{"title":"Designing AI Models for Predicting Ischemic Stroke Using Administrative Healthcare Database","authors":"Wai-Fai Tung, Fu-Hsing Wu, Po-Chou Chan, Hsuan-Hung Lin, Yung-fu Chen, Chih-Sheng Lin","doi":"10.1109/IS3C50286.2020.00020","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00020","url":null,"abstract":"Ischemic stroke (IS) is the most common type of stroke, accounting to about 80% of the stroke, and is a major cause of morbidity and mortality worldwide. The risk factors of IS included older age, male gender, high BMI, smoking habit, hypertension, diabetes, hyperlipidemia, etc. Other factors, such as environmental metal exposure and atrial cardiopathy are also found to be risk factors. In this study, a balanced dataset, consisting of healthcare data of 36,880 IS patients and 36,880 non-IS patients matched with IS patients using indexed date, age, and sex, retrieved from a subset of the National Health Insurance Research Database (NHIRD) of Taiwan, an administrative healthcare database, were adopted for developing the AI models to predict events of ISs. Integrated Genetic Algorithm and Support Vector Machine (IGS) algorithm accompanied with 3 different fitness functions was applied for designing the predictive models. To select the best predictive performance from different AI models, tenfold cross validation were conducted for model training. The predictive performance of the designed models exhibits that predictive accuracy, sensitivity, specificity, and area under ROC curve (AUC) achieve 73.38-73.96%, 73.31-73.91%, 73.03-74.02%, and 0.808-0.813, respectively. The selected features including age, comorbidities, and other comorbidity-related variables are shown to be effective in designing strong predictive models (AUC>0.8) for predicting patients who are more likely to develop IS in the near future. Future works will focus on designing the predictive models using more effective AI technique, such as deep neural network (DNN), and useful variables, such as administrated drugs, to enhance the predictive performance.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127415031","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}

引用次数: 0

2+2 Switched-Current Delta-Sigma Modulator with Digital Noise Cancellation Circuit 带数字降噪电路的2+2开关电流δ - σ调制器

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00064

Guo-Ming Sung, Chun-Ting Lee, Sian-Wei Chao

{"title":"2+2 Switched-Current Delta-Sigma Modulator with Digital Noise Cancellation Circuit","authors":"Guo-Ming Sung, Chun-Ting Lee, Sian-Wei Chao","doi":"10.1109/IS3C50286.2020.00064","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00064","url":null,"abstract":"This paper proposes a 2+2 switched-current (SI) multi-stage noise-shaping (MASH) delta-sigma modulator (DSM) with a digital noise-cancellation circuit (DNCC) by using a TSMC 0.18 μm 1P6M CMOS process. In view of area-efficiency, the current-mode sample-and-hold circuit (S/H) is designed to reduce the chip area considerably. It plays a vital role in the performance of the DSM. Note that the input impedance of the modified current-mode feedback memory cell (FMC) is decreased by [2 + (g'm3/gml-1) x A] times relative to a traditional FMC and the input current is being processed more quickly. However, it suffers the transmitted error particularly for small input currents. The MASH architecture inherited a superior signal-to-noise-and-distortion ratio (SNDR) by using an effective digital noise cancellation circuit (DNCC) and a low-pass filter varied from 10 Hz to 20 kHz. The designed current-mode DNCC is composed of six delay components using master-slave D flip-flop and a logic circuit using the karnaugh map. Post-layout simulations reveal that the simulated SNDR was 90.4 dB and the ENOB was 14.73 bits. The designed IC consumes 18.19 mW at a chip area of 0.13 mm2 and a simulated FoM of 24.5 pJ/conv. The advantages of our modulator are its small chip area and high processing speed at all input currents.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114962015","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}

引用次数: 0

DALI-2 Intelligent Lighting Control System DALI-2智能照明控制系统

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00048

Man-Lin Wu, Che-Min Kung, Yi-Nan Lin

{"title":"DALI-2 Intelligent Lighting Control System","authors":"Man-Lin Wu, Che-Min Kung, Yi-Nan Lin","doi":"10.1109/IS3C50286.2020.00048","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00048","url":null,"abstract":"This paper applies the Manchester code to encoding and decoding as the research and development direction. Because the DALI (Digital Addressable Lighting Interface) communications protocol's packets use Manchester code, it is detect the logical state of edge transitions to decode and encode, instead of reading the high/low level of the signal, so it can't be processed with common NRZ (Non Return Zero Code) code. At present, there is no single controller for encoding or decoding Manchester code on the market, if the manufacturer develops and designs by itself, the company must have engineers with DALI's work experience, and it will take time to carry out complex algorithm development. In order to reduce personnel costs and development time, general lighting manufacturers will choose to purchase commercially available the DALI master and the DALI slave to use with original equipment manufacturer's software. This will cause the DALI slave cannot be integrated with the power supply of the LED luminaire, and the control interface will be limited to the original factory. (For example, DALI master of manufacturer A needs to be used with the software interface of manufacturer A.) Therefore, this paper develops a set of algorithms to complete the encoding and decoding of Manchester code, and independent develops the master and slave of DALI-2, so the DALI-2 slave is easy to integrate with the luminaire power supply, and can also be used with the self-designed software interface to control the DALI-2 master. The development of a DALI-2 intelligent lighting control system from software, firmware and hardware design is not only has highly expandability, but also has the advantage of high design flexibility, and can be integrated with the IoT (Internet of Things) in the future.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123507674","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}

引用次数: 0

Analog-Digital Converter with Neural Network and DC-DC Converter for Underwater Solar Charging 水下太阳能充电用神经网络模数转换器和DC-DC转换器

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00042

W. Lai

引用次数: 0