2020 Zooming Innovation in Consumer Technologies Conference (ZINC)最新文献_第8页

ZINC 2020 Program 锌2020计划

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/zinc50678.2020.9161814

引用次数: 0

A Noise Reduction Approach Using Dynamic Fuzzy Cognitive Maps for Vehicle Traffic Camera Images 基于动态模糊认知地图的车辆交通摄像头图像降噪方法

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161438

Turan Goktug Altundogan, M. Karakose

{"title":"A Noise Reduction Approach Using Dynamic Fuzzy Cognitive Maps for Vehicle Traffic Camera Images","authors":"Turan Goktug Altundogan, M. Karakose","doi":"10.1109/ZINC50678.2020.9161438","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161438","url":null,"abstract":"Noise is a generic term for data loss or corruption due to hardware or software causes on the signal. Since the images are two-dimensional signals, there are noises in this type of signal due different reasons. In addition, fuzzy cognitive maps (FCM) have a structure based on a graph theory that can produce many probing solutions today. Fuzzy cognitive maps can provide their iterations as static (fixed neighborhood values) or dynamic (variable neighborhood values) depending on the solution, which belong to interested problem. In this study, a method is presented using fuzzy cognitive maps for noise reduction in images and mean filter, which is a widely used method for noise reduction. The proposed method provide to minimize the loss of data in the noise reduction process with the average filter. In this work, FCM takes noisy and average filtered noisy image masks and accepts each pixel value in these masks as nodes. Then we update the neighborhood weights between these nodes in each iteration. The developed method has been tested primarily with different images and the performance obtained only by the method in which the average filter is applied is quite high. Then, the proposed method was tested on images of traffic monitoring systems taken from vehicle cameras. The results obtained are very successful.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"2 1","pages":"15-20"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86819638","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

Realization of automotive video data acquisition system for usage in evolution of autonomous vehicles 用于自动驾驶汽车演进的汽车视频数据采集系统的实现

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161439

Igor Kolak, Ž. Lukač, M. Knezic, Stefan Končar

引用次数: 1

Obfuscating DSP Hardware Accelerators in CE Systems Using Pseudo Operations Mixing 在CE系统中使用伪操作混合混淆DSP硬件加速器

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161775

Mahendra Rathor, A. Sengupta

引用次数: 0

Optimization of EDM process using grey-fuzzy approach 基于灰色模糊方法的电火花加工工艺优化

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161443

D. Rodić, Marin Gostimirović, M. Sekulić, Branislav Batinić, Nikola M. Laković

{"title":"Optimization of EDM process using grey-fuzzy approach","authors":"D. Rodić, Marin Gostimirović, M. Sekulić, Branislav Batinić, Nikola M. Laković","doi":"10.1109/ZINC50678.2020.9161443","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161443","url":null,"abstract":"The research investigated the optimization of various performance features on the basis of a gray-fuzzy analysis. The goal was to generate an intelligent system for the optimization of electrical discharge machining based on fuzzy logic and gray analysis. Taguchi's L9 experimental design was used as the research methodology. Two input parameters were selected, namely, discharge current and pulse duration. On the other hand, the material removal rate and surface roughness were taken as output machining performances. Depending on the response of the output performances, the input parameters are selected by applying the gray relation grade and signal-to-noise ratio strategy as performance index. The system is set up according to the following criteria: maximum material removal rate and minimum surface roughness. Based on these criteria, the optimal parameters were obtained, i.e. a discharge current of 5 A and a pulse duration of 5 μ. This combination results in a high gray fuzzy degree of 0.521, which is close to the reference value. Considering the results of the validation experiments, it is concluded that a gray-fuzzy approach can be successfully applied to obtain the optimal combination of influential control parameters.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"42 1","pages":"307-312"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86549768","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