2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)最新文献_第9页

Transmitter Precoding for Reducing Receiver Dynamic Range in Wireline Channels 减小有线信道中接收机动态范围的发射机预编码

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI: 10.1109/ICSEE.2018.8646170

O. Levi, D. Raphaeli

引用次数: 0

Kohonen-Based Topological Clustering as an Amplifier for Multi-Class Classification for Parkinson’s Disease 基于kohonen的拓扑聚类放大器在帕金森病多类分类中的应用

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI: 10.1109/ICSEE.2018.8646026

A. Frid, L. Manevitz, Ohad Mosafi

{"title":"Kohonen-Based Topological Clustering as an Amplifier for Multi-Class Classification for Parkinson’s Disease","authors":"A. Frid, L. Manevitz, Ohad Mosafi","doi":"10.1109/ICSEE.2018.8646026","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8646026","url":null,"abstract":"Classifying the degree of Parkinson’s disease is an important clinical necessity. Nonetheless, current methodology requires manual (and subjective) evaluation by a trained clinical expert. Recently, Machine Learning tools have been developed that can produce a classification of the presence of PD directly from the speech signal in an automated and objective fashion. However, these methods were not sufficient for the classification of the degree of the disease. In this work, we show how to apply and leverage topological information on the both the label space and the feature space of the speech signal in order to solve this problem.We address the problem by performing topological clustering (using a version of the Kohonen Self Organizing Map algorithm) of the feature space and then optimizing separate multi-class classifiers on each cluster.Using these methods, we can reliably train our system to classify new speech signal data to more than the 70% level on a 7 degree classification (where random level is 14%) which is close to the obtainable accuracy on the simple 2 class classification.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124253053","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: 5

A Novel Machine Learning Approach to Prevent Illegal Distribution of Screen Captured Videos 一种防止屏幕捕获视频非法传播的新型机器学习方法

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI: 10.1109/ICSEE.2018.8646197

V. Manikandan, V. Masilamani

{"title":"A Novel Machine Learning Approach to Prevent Illegal Distribution of Screen Captured Videos","authors":"V. Manikandan, V. Masilamani","doi":"10.1109/ICSEE.2018.8646197","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8646197","url":null,"abstract":"Capturing of videos from the television (TV) screens or from the theater screens by using the mobile cameras and its illegal distribution through video-sharing websites like YouTube, Dailymotion, Metacafe, etc. is a well-known challenge faced by the film industry. The video-sharing websites like YouTube does not encourage the illegal distribution of videos (without proper consent from the content owner). Currently, the YouTube has a facility to remove an illegally distributed video content from its video repository based on the request from the content owner. In general, the removal of an illegally distributed video may take a few days, hence during this period, the video may be downloaded by many of the people. The downloaded videos may be again distributed over the internet through different modes. This paper proposed a new technique which will classify a given video into normal video or screen captured video and it can be incorporated with video-sharing websites to prevent the illegal distribution of screen captured videos. The proposed scheme uses a support vector machine model which is trained using no-reference image quality measures. As far as our knowledge is concerned, there is no related work in this area.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"53 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123179225","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

ADHD Detection from Driving Patterns 从驾驶模式检测ADHD

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI: 10.1109/ICSEE.2018.8646013

L. Dery, Oren Musicant

引用次数: 0

Voltage-Dependent-Capacitor Control of Wireless Power Transfer (WPT) 无线电力传输(WPT)的电压-电容控制

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI: 10.1109/ICSEE.2018.8646219

Sahar Borafker, Miriam Drujin, S. Ben-Yaakov

引用次数: 3

Multi-microphone voice activity and single-talk detectors based on steered-response power output entropy 基于转向响应功率输出熵的多麦克风语音活动和单话音检测器

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI: 10.1109/ICSEE.2018.8646089

Ofer Schwartz, Aviv David, Ofer Shahen-Tov, S. Gannot

{"title":"Multi-microphone voice activity and single-talk detectors based on steered-response power output entropy","authors":"Ofer Schwartz, Aviv David, Ofer Shahen-Tov, S. Gannot","doi":"10.1109/ICSEE.2018.8646089","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8646089","url":null,"abstract":"Voice activity detection (VAD), namely determining whether a speech signal is active or inactive, and single talk detector (STD), namely detecting that only one speaker is active, are important building blocks in many speech processing applications. A speaker-localization stage (such as the steered response power (SRP)) is often concurrently implemented on the same device.In this paper, the spatial properties of the SRP are utilized for improving the performance of both the voice activity detector (VAD) and the STD. We propose to measure the entropy at the SRP output and compare with the typical entropy of noise-only frames. This feature utilizes spatial information and may therefore become advantageous in nonstationary noise environments. The STD can then be implemented by determining local minimum values of the entropy measure of the SRP.The proposed VAD was tested for a single speaker with two cases, directional background noise with changing level and with a background music source. The proposed STD was tested using real recordings of two concurrent speakers.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126151645","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

Cache Prefetching in Embedded DSPs 嵌入式dsp中的缓存预取

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI: 10.1109/ICSEE.2018.8646161

A. Vaintraub, R. Kahn, S. Weiss

{"title":"Cache Prefetching in Embedded DSPs","authors":"A. Vaintraub, R. Kahn, S. Weiss","doi":"10.1109/ICSEE.2018.8646161","DOIUrl":"https://doi.org/10.1109/ICSEE.2018.8646161","url":null,"abstract":"Prefetching has been a commonplace feature in the general purpose CPU world for more than a decade but has been much less common in the embedded and mobile world, moreover it has not been utilized for DSPs. The goal of this paper is to adapt and simulate straight-forward hardware prefetching techniques for embedded DSPs, assess their performance using the cycle count metric and find their potential improvement under the strict constraints of low power and low complexity. By using industry standard benchmarks we come to the conclusion that even though these algorithms exhibit a very high inherent hit rate, total cycle count improvement is possible due to relatively high external memory delay that stems from shared buses. Several parameters are simulated, including but not limited to cache size, number of prefetched blocks and the use of a small FIFO buffer to store the prefetched blocks as opposed to writing them directly into cache memory. We show that even a small FIFO buffer results in an improvement of 8% on average and up to 35% in total cycle count even in traces that exhibited a cache hit rate of over 99% without prefetching. We also show that a small prefetch buffer enables us to halve the cache size with no discernible effect on performance.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125735614","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

Application of the SPOC form to Estimation and Identification of Nonlinear Systems SPOC形式在非线性系统估计与辨识中的应用

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI: 10.1109/ICSEE.2018.8646071

I. Rusnak

引用次数: 0

Nearest Neighbor MPPT with Cross-Entropy Method optimization 基于交叉熵法优化的最近邻MPPT

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI: 10.1109/ICSEE.2018.8646091

R. Machlev, Y. Levron

引用次数: 1

Persistent Memory Based and Feature Rich File System Design 基于持久内存和特性丰富的文件系统设计

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI: 10.1109/ICSEE.2018.8646066

Netanel Katzburg, Amit Golander

引用次数: 1