2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)最新文献_第3页

A Fuzzy Framework for System Diagnosis 系统诊断的模糊框架

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439983

T. P. Fries

引用次数: 0

A Robust Secure and High Capacity Image Watermarking Scheme for Information Exchange in Distributed Collaborative Networked Intelligent Measurement Systems 面向分布式协同网络智能测量系统信息交换的鲁棒安全高容量图像水印方案

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8440006

S. S. Chaughule, D. Megherbi

{"title":"A Robust Secure and High Capacity Image Watermarking Scheme for Information Exchange in Distributed Collaborative Networked Intelligent Measurement Systems","authors":"S. S. Chaughule, D. Megherbi","doi":"10.1109/CIVEMSA.2018.8440006","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2018.8440006","url":null,"abstract":"In many industrial environments applications, for example, those involving intelligent measurement systems, distributed networked collaborative virtual environments, tele-control, biomedical intelligent systems with interchange of individuals private health information, to name a few, there is a need to securely exchange digital images or other multi-media information among the various local or remote industrial components. In this paper, and for that purpose, we propose a novel image watermarking and information hiding technique for recovery and authentication of hidden images against tampering by utilizing the Discrete Wavelet Transform (DWT) and the Arnold’s Transform. We show how the proposed technique (a) allows for relatively higher capacity capability in securely embedding not just a watermark image, for authentication purposes, but also a hidden secret image while preserving the transparency in the resulting “watermarked” carrier image (b) allows embedding of gray-scale images and is not limited to embedding binary ones (c) allows redundancy in the hidden information for better recovery in case of image tampering such as cropping, (d) allows for security in the hidden image information. The proposed technique utilizes all three RGB color channels of a carrier image for embedding information. This is to provide a high degree of redundancy for information recovery in case of unauthorized tampering attacks. Furthermore, correction matrices for hidden and/or watermark images are calculated and are also embedded in the carrier image. As we show, the proposed techniques provides tamper detection and recovery against unauthorized tampering such as image cropping, blurring, pixel tampering. We also show robustness of the proposed scheme to JPEG compression and encryption.","PeriodicalId":305399,"journal":{"name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121278664","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

Stimulation Conditions to Generate Velvet Hand Illusion through a Dot-matrix Display 点阵显示产生丝绒手错觉的刺激条件

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439948

Hiraku Komura, M. Ohka

{"title":"Stimulation Conditions to Generate Velvet Hand Illusion through a Dot-matrix Display","authors":"Hiraku Komura, M. Ohka","doi":"10.1109/CIVEMSA.2018.8439948","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2018.8439948","url":null,"abstract":"To enhance the reality of touch feeling in VR, one effective presentation is the texture sensation of a virtual object. Although the texture sensation makes persons perceive a virtual object to be a real one, research on texture sensation has not always progressed due to the difficulty of developing a stimulus presentation device. To compensate for this hardware problem, we focus on the Velvet Hand Illusion (VHI), which is one of the tactile illusion phenomena, as a method of presenting texture sensation. In our previous study, VHI was generated by a tactile display using a refreshable braille display (dot-matrix display). Since the dot-matrix display can provide various dot patterns through combinations of stimulus-pin protrusions, it can be applied to clarify the essential stimulus conditions for VHI through a series of psychophysical experiments. We expect to obtain the essential conditions for VHI, which will then become the fundamentals of the VHI model. In the psychophysical experiments, two parallel lines formed by the dot-matrix display were reciprocated on the subject's palm. First, we investigated the relationship between the interval of pins forming lines and the VHI strength. Second, we investigated the relationship between the length of two parallel lines and the strength of VHI. As a result, VHI hardly occurred when the interval between pins forming lines was more than a two-point threshold. Consequently, it was clarified that the sensation of touching a line is an essential condition for VHI and that line length of 29 mm is the absolute threshold of VHI.","PeriodicalId":305399,"journal":{"name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126872105","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

[Copyright notice] (版权)

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/civemsa.2018.8439979

引用次数: 0

Guided Learning of Pronunciation by Visualizing Tongue Articulation in Ultrasound Image Sequences 通过在超声图像序列中可视化舌头发音引导学习发音

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8440000

M. Mozaffari, Shenyong Guan, Shuangyue Wen, Nan Wang, Won-Sook Lee

{"title":"Guided Learning of Pronunciation by Visualizing Tongue Articulation in Ultrasound Image Sequences","authors":"M. Mozaffari, Shenyong Guan, Shuangyue Wen, Nan Wang, Won-Sook Lee","doi":"10.1109/CIVEMSA.2018.8440000","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2018.8440000","url":null,"abstract":"Ultrasound has been used as one of the primary technologies utilized widely for clinical diagnosis due to its affordability, non-invasive characteristic, portability, and its fast performance in acquisition. Recently, it started to be used as a visual feedback method for tongue articulation, thanks to its capacity of real-time visualization and video capture of underlying structures inside the mouth. When an Ultrasound transducer is placed along the mid-line under a chin, it shows the tongue motion in sagittal view while speaking. As it is still quite difficult to understand the structure in ultrasound images, we proposed a guided learning system for pronunciation by visualizing tongue articulation in Ultrasound image sequences. Video image registration technique has been employed to project sagittal section of tongue back to the corresponding position on the subject head. The proposed system targets speech therapy and foreign language pronunciation lessons. Two main technology components are (i) Ultrasound tongue image segmentation and tracking (ii) registration of Ultrasound image sequences on video of a subject during the speech. Our experiments on Chinese English learners revealed that the proposed system is capable of providing the beneficial improvement on English pronunciation.","PeriodicalId":305399,"journal":{"name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114800961","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: 11

Teaching a Robot Sign Language using Vision-Based Hand Gesture Recognition 用基于视觉的手势识别教机器人手语

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439952

Da Zhi, T. E. D. Oliveira, Vinicius Prado da Fonseca, E. Petriu

引用次数: 7

Adaptive Weighting with SMOTE for Learning from Imbalanced Datasets: A Case Study for Traffic Offence Prediction 基于SMOTE的不平衡数据学习自适应加权:交通违规预测案例研究

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439957

Naga Prasanthi Bobbili, A. Crétu

引用次数: 4

Wooden Framed House Structural Health Monitoring by System Identification and Damage Detection under Dynamic Motion with Artificial Intelligence Sensor using a Model of House including Braces 基于人工智能传感器的木结构房屋动态损伤检测与系统识别

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439967

Ryo Tanida, Ryo Oiwa, Takumi Ito, Takayuki Kawahara

{"title":"Wooden Framed House Structural Health Monitoring by System Identification and Damage Detection under Dynamic Motion with Artificial Intelligence Sensor using a Model of House including Braces","authors":"Ryo Tanida, Ryo Oiwa, Takumi Ito, Takayuki Kawahara","doi":"10.1109/CIVEMSA.2018.8439967","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2018.8439967","url":null,"abstract":"We are trying to discriminate damage areas of wood by machine learning. Last year, an experiment to identify the damage position of a piece of timber was conducted. This time, an experiment on the identification of the damage position of the house brace was performed. Only one brace was removed from the model of the house with 28 brace positions, and the damage position was assumed to be there. Vibration was applied to the model of the house, and the transferred vibration waveform was detected with a piezoelectric sensor. This vibration waveform was analyzed using a neural network. The classification on each side of the house succeeded after fixing the number of neurons in the hidden layer. After that, classification on the whole side of the house with 3-layer and 4-layer neural networks was conducted. The classification rate could be improved by changing the number of neurons in the hidden layer. As a result, the classification rate of the damage position of the entire house is 90.69%. Also, the classification rate is higher in the 4-layer neural network than in the 3-layer one.","PeriodicalId":305399,"journal":{"name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116852262","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: 4

Model-Free Value Iteration Solution for Dynamic Graphical Games 动态图形游戏的无模型值迭代解

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439974

M. Abouheaf, W. Gueaieb

引用次数: 2

Autonomous Vehicle Tracking Control Using Deep Learning and Stereo Vision 基于深度学习和立体视觉的自动驾驶车辆跟踪控制

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439980

Teng Zhao, Ming Li, G. Chen, Ying Wang

引用次数: 1