2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA)最新文献_第5页

Production process optimization of the bar screen machine 条形筛机的生产工艺优化

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2015-06-15 DOI: 10.1109/ICIEA.2015.7334091

Meizi Ding, Ketai He, Lei Shi, Di Chen

引用次数: 0

Analog RF predistorter simulation using well-known behavioral models 模拟射频预失真器仿真使用著名的行为模型

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2015-06-15 DOI: 10.1109/ICIEA.2015.7334377

Paul O. Fisher, S. Al-Sarawi

引用次数: 1

Solving unequal area static facility layout problems by using a modified genetic algorithm 利用改进的遗传算法求解不等面积静态设施布局问题

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2015-06-15 DOI: 10.1109/ICIEA.2015.7334129

Ali Derakhshan Asl, K. Wong

引用次数: 5

Put things in correct location: Describing the scene with contextual cues 把东西放在正确的位置:用情境线索描述场景

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2015-06-15 DOI: 10.1109/ICIEA.2015.7334081

Xingming Wu, Chenyang Wang, Weihai Chen, Zhong Liu

{"title":"Put things in correct location: Describing the scene with contextual cues","authors":"Xingming Wu, Chenyang Wang, Weihai Chen, Zhong Liu","doi":"10.1109/ICIEA.2015.7334081","DOIUrl":"https://doi.org/10.1109/ICIEA.2015.7334081","url":null,"abstract":"In this paper, we reviewed the development of scene understanding, specifically focusing on indoor scene understanding and context used in scene understanding. Different from image segmentation, object detection, 3D reconstruction, etc., which only implements a single task, scene understanding is a technology aiming at implementing a holistic scene parsing, that is, acquiring the spatial extent, location and semantic of every object in a scene. Nevertheless, scene understanding doesn't equal to direct accumulation of individual vision tasks. Along with the development of scene understanding, it has formed its own framework. In general, indoor scene understanding is more challenging than outdoor scene understanding, but with the emergence of RGB-D sensors, more and more researchers have focused on indoor scene understanding. Fusing context information to constrain relationship between adjacent pixels and improve accuracy of algorithm is the common sense in the field of scene understanding. There are three kinds of context, namely, pixel based context, region based context and object based context. In this paper, We reviewed these different context respectively.","PeriodicalId":270660,"journal":{"name":"2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115673437","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

An efficient indoor navigation technique to find optimal route for blinds using QR codes 利用二维码为百叶窗寻找最佳路径的高效室内导航技术

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2015-06-15 DOI: 10.1109/ICIEA.2015.7334197

Affan Idrees, Z. Iqbal, Mariam Ishfaq

{"title":"An efficient indoor navigation technique to find optimal route for blinds using QR codes","authors":"Affan Idrees, Z. Iqbal, Mariam Ishfaq","doi":"10.1109/ICIEA.2015.7334197","DOIUrl":"https://doi.org/10.1109/ICIEA.2015.7334197","url":null,"abstract":"Blind navigation is an accessibility application that enables blind to use an android Smartphone in an easy way for indoor navigation with instructions in audio form. We have proposed a prototype which is an indoor navigation application for blinds that uses QR codes. It is developed for android Smart phones and does not require any additional hardware for navigation. It provides automatic navigational assistance on pre-defined paths for blind. QR codes are placed on the floor sections after specific distance that acts as an input for current location detection and navigation. Whenever a QR code is scanned it provides the user with the information of the current location and asks the user to select the destination and then offers optimal and shortest path using path finding algorithms. During navigation whenever the deviation from the proposed path is detected it prompts the user and guides back to the right path by comparing the current path with the generated path. All of the instructions throughout the application are provided in audio form to the user. The interface of the application is well built for blinds which makes the smart phones user-friendly and useable for blind people. The user interacts with the application through a specific set of user-friendly gestures for specific inputs and operations. At the end, we have performed comparison between different state of art approaches and concluded that our approach is more user friendly, cost effective and produced more accurate results.","PeriodicalId":270660,"journal":{"name":"2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114709665","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: 39

On the use of array learners towards Automatic Speech Recognition for dysarthria 阵列学习器在构音障碍语音自动识别中的应用

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2015-06-15 DOI: 10.1109/ICIEA.2015.7334306

Seyed Reza Shahamiri, S. K. Ray

引用次数: 3

VLSI design for SC-based speaker recognition 基于sc的说话人识别VLSI设计

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2015-06-15 DOI: 10.1109/ICIEA.2015.7334135

Chien-Yao Wang, Min Shih, Tzu-Chiang Tai, Po-Chuan Lin, Shih-Ting Huang, Jia-Hao Zhao, Jia-Ching Wang

引用次数: 2

Research on radiation characteristic of infrared decoy based on DPM 基于DPM的红外诱饵辐射特性研究

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2015-06-15 DOI: 10.1109/ICIEA.2015.7334290

Zhendong Zhang, Chun-Ling Yang, Yan Zhang

引用次数: 1

Research on liquid level detection based on acoustic field characteristic of the oil wells 基于油井声场特性的液位检测研究

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2015-06-15 DOI: 10.1109/ICIEA.2015.7334111

Zhou Wei, L. Taifu, Zhang Yuantao, Yi Jun, Hu Gang

引用次数: 3

A novel algorithm for efficient depth segmentation using low resolution (Kinect) images 一种利用低分辨率(Kinect)图像进行高效深度分割的新算法

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2015-06-15 DOI: 10.1109/ICIEA.2015.7334182

S. A. A. Shah, Bennamoun, F. Boussaid

{"title":"A novel algorithm for efficient depth segmentation using low resolution (Kinect) images","authors":"S. A. A. Shah, Bennamoun, F. Boussaid","doi":"10.1109/ICIEA.2015.7334182","DOIUrl":"https://doi.org/10.1109/ICIEA.2015.7334182","url":null,"abstract":"Object segmentation is a fundamental research topic in computer vision. While, only the color information for object segmentation has been the main focus of research, with the availability of low cost color plus range sensors, depth segmentation is now attracting significant attention. This paper presents a novel algorithm for depth segmentation. The proposed technique exploits the divergence of the 2D vector field to segment three-dimensional (3D) object in the depth maps. For a given depth image acquired using a low resolution Kinect sensor, a 2D vector field is computed first at each point of the range image. The depth map is then converted to the div map by computing the 2D vector field's divergence. The latter maps the vector field to a scalar field. The variation of divergence values over the surface contour of the 3D object helps to extract its boundaries. Finally, the depth segmentation is accomplished by applying a threshold to the div map to segment 3D object from the background. In addition to removing the background, the proposed technique also segments the object from the surface on which the object is positioned. The proposed technique was tested on low resolution Washington RGB-D (Kinect) object dataset. Preliminary experimental results suggest that the proposed algorithm achieves better depth segmentation compared to state-of-the art graph-based depth segmentation. The proposed technique also outperforms the latter by achieving 40% higher computational efficiency.","PeriodicalId":270660,"journal":{"name":"2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129504688","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: 9