2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)最新文献_第5页

Classification Different Types of Fall For Reducing False Alarm Using Single Accelerometer 用单个加速度计对不同类型的加速度进行分类，减少误报

2018 IEEE Seventh International Conference on Communications and Electronics (ICCE) Pub Date : 2018-07-01 DOI: 10.1109/CCE.2018.8465736

N. P. Pham, Hung Viet Dao, Ha Ngoc Phung, Huy Van Ta, Nam Hoang Nguyen, Tram Thi Hoang

{"title":"Classification Different Types of Fall For Reducing False Alarm Using Single Accelerometer","authors":"N. P. Pham, Hung Viet Dao, Ha Ngoc Phung, Huy Van Ta, Nam Hoang Nguyen, Tram Thi Hoang","doi":"10.1109/CCE.2018.8465736","DOIUrl":"https://doi.org/10.1109/CCE.2018.8465736","url":null,"abstract":"Fall is one of the major causes of serious injury, which include fractures, traumatic brain injury, and death, to the elderly. True fall detection in time will improve the chances of survival and increases the likelihood of normal behavior recovery by up to 80%. Many researchers use accelerometers to detect fall as its convenience, low power and portable. However, simple threshold method can lead to false alarm in several ADLs (Activities of daily living) such as lying or sitting and several types of fall. This paper presents a fall detection algorithm to reduce false alarm using predetermined multi – thresholds in three phase of fall events. The performance of this techniques is evaluated using signals generated during in lab experiments that record the user’s movement signals during normal activities (walking, up/down stairs, standing up, sitting down and lying down) and a variety of fall cases. It was found that our method is able to classify 6 different type of fall and 6 ADLs with the accuracy is 92%, which was comparable to other methods.","PeriodicalId":118716,"journal":{"name":"2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121461643","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

A 3D Printed Two-axis Tilt Angle Capacitive Sensor 3D打印的双轴倾角电容式传感器

2018 IEEE Seventh International Conference on Communications and Electronics (ICCE) Pub Date : 2018-07-01 DOI: 10.1109/CCE.2018.8465753

Ha Thuy Tran Thi, H. Nguyen Dac, An Nguyen Ngoc, Dung Nguyen Ngoc, Le Van Thai, Tung Thanh Bui

引用次数: 3

The Design of Low-Iteration Protograph Codes for Rayleigh Fading Channels with Spatial Diversity 具有空间分集的瑞利衰落信道的低迭代原型码设计

2018 IEEE Seventh International Conference on Communications and Electronics (ICCE) Pub Date : 2018-07-01 DOI: 10.1109/CCE.2018.8465765

T. Nguyen, Hieu T. Nguyen

引用次数: 0

An adaptive method for low-delay 360 VR video streaming over HTTP/2 基于HTTP/2的低延迟360度VR视频流的自适应方法

2018 IEEE Seventh International Conference on Communications and Electronics (ICCE) Pub Date : 2018-07-01 DOI: 10.1109/CCE.2018.8465722

Dang-Hieu Nguyen, Minh Nguyen, N. P. Ngoc, T. Thang

{"title":"An adaptive method for low-delay 360 VR video streaming over HTTP/2","authors":"Dang-Hieu Nguyen, Minh Nguyen, N. P. Ngoc, T. Thang","doi":"10.1109/CCE.2018.8465722","DOIUrl":"https://doi.org/10.1109/CCE.2018.8465722","url":null,"abstract":"Virtually Reality (VR) technology, especially 360 VR videos, is currently a hot topic thanks to its immersive experience, compared to traditional multimedia applications, such as allowing users to experience a close real life by panoramic view. Nevertheless, 360 VR video transmission consumes a huge bandwidth. Besides, how to reduce the delay of 360 VR video streaming is another problem. To address these two challenges, in this paper, we introduce an efficient adaptive 360 VR video streaming method over HTTP/2 using stream priority and stream termination features. To support adaptivity, a 360 VR video is divided into multiple faces and each face is chunked into temporal segments. The video is also stored at the server with different levels of quality. In our method, we focus on the low delay scenario and thus all faces are downloaded simultaneously by using priority feature of HTTP/2 and the client decodes them based on the Group of Pictures (GOP). If the bandwidth suddenly drops, the client will break the simultaneity and inform the server to push consecutively the faces based on their priorities. In addition, stream termination feature can be used to terminate the media parts, which will miss the deadline. The experimental results show that, when the initial buffer is set to 0.5s, there is only 0.08% of the number of GOPs in the front face that miss the deadline in our proposed method, compared to the values of 0.75% and 3.34% of two reference methods.","PeriodicalId":118716,"journal":{"name":"2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133183498","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: 7

Gaussian Process Modeling of UWB Multipath Components 超宽带多径组件的高斯过程建模

2018 IEEE Seventh International Conference on Communications and Electronics (ICCE) Pub Date : 2018-07-01 DOI: 10.1109/CCE.2018.8465704

An Hong, M. Rath, Josef Kulmer, Stefan Grebien, Khang Nguyen Van, K. Witrisal

引用次数: 2

Training On-chip Hardware with Two Series Memristor Based Backpropagation Algorithm 基于双串联忆阻器反向传播算法的片上硬件训练

2018 IEEE Seventh International Conference on Communications and Electronics (ICCE) Pub Date : 2018-07-01 DOI: 10.1109/CCE.2018.8465750

H. Vo

引用次数: 2

Application of PSO and Bacterial Foraging Optimization to Speed Control PMSM Servo Systems 粒子群优化与细菌觅食优化在永磁同步电机伺服调速系统中的应用

2018 IEEE Seventh International Conference on Communications and Electronics (ICCE) Pub Date : 2018-07-01 DOI: 10.1109/CCE.2018.8465728

Hieu Le Dinh, I. Temkin

引用次数: 5

Maximizing Cache Value for Distributing Content via Small Cells in 5G 在5G中通过小蜂窝分配内容最大化缓存价值

2018 IEEE Seventh International Conference on Communications and Electronics (ICCE) Pub Date : 2018-07-01 DOI: 10.1109/CCE.2018.8465726

Ibrahim Freewan, J. Daigle, Feng Wang

{"title":"Maximizing Cache Value for Distributing Content via Small Cells in 5G","authors":"Ibrahim Freewan, J. Daigle, Feng Wang","doi":"10.1109/CCE.2018.8465726","DOIUrl":"https://doi.org/10.1109/CCE.2018.8465726","url":null,"abstract":"This paper discusses distribution of content to mobile users via small cells (SCs) in 5G. Users may simultaneously access between one and some maximum number of SCs. Files are stored in remote locations as a collection of source symbols and some number of RaptorQ-encoded symbols generated from these source symbols are cached in the SCs. Each file is characterized by the number of encoded symbols required to reconstruct the file at the user equipment and its download preference probability. Users recover the file by downloading a number of encoded symbols slightly larger than the number of source symbols. If a sufficient number of encoded symbols are not available from the SCs, the remainder are backhauled. Presented in this paper is an algorithm of low complexity to maximize the average value of using cache to reduce backhaul. This paper contributes to the literature by presenting an n log n algorithm to solve the optimization problem exactly, extending previous results from constant files size for all files to arbitrary actual files sizes for all files, and extending distribution portions from continuous fractions of files to an integer number of symbols.","PeriodicalId":118716,"journal":{"name":"2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129063374","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: 2

On the optimal beam selection with partial subcarriers on wideband mmWave systems 宽带毫米波系统中部分子载波的最优波束选择

2018 IEEE Seventh International Conference on Communications and Electronics (ICCE) Pub Date : 2018-07-01 DOI: 10.1109/CCE.2018.8465759

Juho Park, Jihyung Kim, J. Lee, Junhwan Lee

引用次数: 1

Regularization Parameter Selection in Image Restoration with Inverse Gradient: Single Scale or Multiscale? 反梯度图像恢复中的正则化参数选择:单尺度还是多尺度?

2018 IEEE Seventh International Conference on Communications and Electronics (ICCE) Pub Date : 2018-07-01 DOI: 10.1109/CCE.2018.8465720

V. B. Surya Prasath, D. N. Thanh, N. H. Hai

{"title":"Regularization Parameter Selection in Image Restoration with Inverse Gradient: Single Scale or Multiscale?","authors":"V. B. Surya Prasath, D. N. Thanh, N. H. Hai","doi":"10.1109/CCE.2018.8465720","DOIUrl":"https://doi.org/10.1109/CCE.2018.8465720","url":null,"abstract":"Regularization methods are effective in to solving ill-posed vision problems such as image denoising and restoration. These methods typically involve a smoothness/regularization term (prior) and a data term (fidelity). The importance of the regularization parameter that weights the smoothness prior term is well known in the image processing literature. In this work, we consider a particular class of adaptive regularization terms, which depend on the inverse gradient of the image. A pre-smoothing operation with Gaussian kernel is performed in computing the inverse gradient based adaptive regularization term with a fixed scale. However, in general, digital images contain objects of varying sizes, hence a multiscale regularization can improve the edge preserving restorations. We study here a comparison of single scale versus multiscale inverse gradient regularization parameter selection in image restoration along with quadratic and total variation regularization priors. Our experimental results conducted on standard test images indicate that using multiscale strategy improves the restoration quality both in terms of noise reduction and structure preservation. This assertion is augmented by various error metrics such as peak signal to noise ratio, and structural similarity.","PeriodicalId":118716,"journal":{"name":"2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117176294","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: 16