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An Improved DV-Hop Positioning algorithm in Wireless Sensor Networks 14

An Improved DV-Hop Positioning Algorithm in Wireless Sensor ...

引用

14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Min, Qi Chen, Niansheng Fan, Guangyu Rao, Lei Xu, Zhaohui Ma, Yiping Shanghai DianJi Univ Shanghai Peoples R China AVIC Huadong Photoelect Shanghai Co Ltd Shanghai Peoples R China

ISBN: (纸本)9781665400046

Localization technology is one of the key challenges for wireless sensor networks (WSN). In order to overcome the interference of signals and reduce the localization error, an improved DV-Hop algorithm is proposed for wireless sensor networks with sparse nodes. By using the RSSI value between neighboring nodes, the proposed algorithm improves the accuracy of the distances estimated within one hop, thus improves the localization accuracy of nodes. In addition, the correction factor alpha and beta were added to correct the average jump distance beyond one jump. Simulation experimental results show that the proposed algorithm improves the positioning performance and robustness under the same computational efficiency, compared to the existing localization methods.

关键词： DV-Hop fusion algorithm localization wireless sensor networks

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Review of the Lip-reading Recognition 5

Review of the Lip-reading Recognition

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5th IEEE International Conference on Software Engineering and Service Science (ICSESS)

作者： Zhang, Zeliang Qu, Wenliang Liu, Fumei Beihua Univ Inst Informat Technol & Media Jilin 132001 Peoples R China

ISBN: (纸本)9781479932795

As an important component of the future Human-Computer Interface, Automatic Speech Recognition is designed for the purpose of realizing identification recognition and natural language comprehension by means of human voice. Speech recognition technology has acquired significant achievements with some successful popularity and applications. IBM's ViaVoice system, for instance, has good performances when the vocabulary pool is small and when the noise is low. But its performance will be greatly degraded when used in real application environments. In future applications of the human-computer interaction, such as in a car, at airport, or live interviews, higher requirements for robust systems will be needed, therefore we need to explore new ways. Proved highly effective by most researchers, the combination of visual features of lip motion with vocal features can raise the recognition rate of the automatic speech system, and make it more robust and more adaptable to real environments. This focuses on the recognition methods and speech and visual fusion algorithm, which aims to attract more researchers to be interested and concerned in this area of research.

关键词： HMM ANN fusion algorithm

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Meta-Apriori: A New algorithm for Frequent Pattern Detection 8th

Meta-Apriori: A New Algorithm for Frequent Pattern Detection

引用

8th Asian Conference on Intelligent Information and Database Systems (ACIIDS)

作者： Benhamouda, Neyla Cherifa Drias, Habiba Hireche, Celia USTHB Dept Comp Sci LRIA Algiers Algeria

ISBN: (纸本)9783662493908;9783662493892

Frequent patterns mining is one of the most important data mining techniques, used for extracting information and knowledge from ordinary data. In this paper, we are interested by improving Apriori, which is one of the most used algorithm for extracting frequent patterns. First, we propose some enhancements for the Apriori algorithm. Then we develop Meta-Apriori a new recursive algorithm based on Apriori. As we know, the major drawback of Apriori is its temporal complexity, which makes it difficult to practice. The aim of our algorithm is to reduce substantially the runtime so as, to increase its efficiency while preserving its effectiveness. The main idea is to use the "divide and conquer" technique, which consists in partitioning the whole database into small ones and then applying Meta-Apriori if the database is huge or Apriori if it is of reasonable size. By merging the achieved results, we obtain the outcomes for the whole database.

关键词： Frequent patterns mining Apriori Transactions fusion algorithm And efficiency

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DESIGNING A BIO-CAPSULE SECURE AUTHENTICATION SYSTEM

DESIGNING A BIO-CAPSULE SECURE AUTHENTICATION SYSTEM

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International Conference on Computing and Communications Technologies ((ICCCT)

作者： Logeshwari, R. Karthikayani, K. Sindhuja, A. Ashok, D. SRM Univ Dept Comp Sci Madras Tamil Nadu India Prathyusha Inst Technol & Management Dept Informat Technol Thiruvallur Tamil Nadu India

ISBN: (纸本)9781479976232

In this modern world, especially on the Internet, user might have more and more usernames or IDs and passwords, which contains his/her private information. There are too many for a user to remember and it is unsafe to write them down on the notebook. To solve this problem, this paper proposes a novel design of User data Management System (UMS), by which user can manage his/her private information's efficiently. With the fast evolution in sensor technology biometric authentication system becomes more popular in daily lives. The biometrics is improving the capability to recognize the persons. The construction of Bio-Capsule from biometrics is used generally to secure the system. The biometrics used in this paper is fingerprint and iris. These two features are combined with the help of fusion algorithm. From the combined features, Bio-Capsule is generated which used for authenticating User data Management Systems.

关键词： Biometrics Bio-Capsule Generation Minutiae Points Morphological operation Histogram Equalization Weiner filtering fusion algorithm

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An algorithm of Image Segmentation Based on Fuzzy Mathematical Morphology

An Algorithm of Image Segmentation Based on Fuzzy Mathematic...

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International Forum on Information Technology and Applications (IFITA 2009)

作者： Liu Yucheng Liu Yubin Chongqing Univ Sci & Technol Coll Elect & Informat Engn Chongqing 401331 Peoples R China Panzhihua Univ Sch Comp Sci Panzhihua 617000 Peoples R China

ISBN: (纸本)9780769536002

The paper discussed a new image segmentation algorithm that based on fuzzy mathematical morphology, aiming at the noise and exiguity catchment basin of image that result in over-segmentation phenomenon when adopt traditional watershed algorithm to segment an image. The method adopted firstly opening-closing algorithm based on fuzzy mathematical morphology to smooth the image and then to compute its gradient operators based on basic morphology. Furthermore, the method segmented the gradient image based on fuzzy mathematical morphology to get the result. The simulation experiment result showed that it not only can eliminate over-segmentation phenomenon that resulted from traditional mathematical morphology segmentation algorithm, realize goal full segmentation from background, but also can save image detail perfectly when using the new image segmentation algorithm based on fuzzy mathematical morphology of segment image.

关键词： pixel fuzzy mathematical morphology image segmentation operators orphology fusion algorithm

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State of Charge Estimation of Lithium-ion Batteries with Particle Filter algorithm 46

State of Charge Estimation of Lithium-ion Batteries with Par...

引用

46th Annual Conference of the IEEE-Industrial-Electronics-Society (IECON)

作者： Xia, Fei Wang, Zhicheng Zhang, Chuanlin Shanghai Univ Elect Power Coll Automat Engn Shanghai Peoples R China Zhejiang Power Transmiss & Transformat Engn Co Lt Hangzhou Peoples R China

ISBN: (数字)9781728154145

ISBN: (纸本)9781728154145

The number of electric vehicles has increased significantly in recent years. The battery is its power source, so to estimate its state of charge (SOC) is meaningful. The extended Kalman filter (EKF) algorithm and the unscented Kalman particle filter (UKF) are integrated through analytic hierarchy process and Euclidean distance method as the proposed distribution function of the particle filter (PF) algorithm which is developed into algorithm of improved particle filter. The fusion algorithm is applied to estimate the SOC of the third-order Thevenin model of batteries. Experimental results show that the SOC estimation accuracy of the fusion algorithm is better than that of EKPF and UPF.

关键词： SOC estimation third-order Thevenin model Analytic hierarchy process fusion algorithm

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Emotion Detection System Based on Speech and Facial Signals

Emotion Detection System Based on Speech and Facial Signals

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2nd International Conference on Industry, Information System and Material Engineering (IISME 2012)

作者： Zhao, Hui Wang, YuTai Yang, XingHai Univ Jinan Sch Informat Sci & Engn Jinan 250022 Peoples R China

ISBN: (纸本)9783037853566

This paper introduces the present status of speech emotion detection. In order to improve the emotion recognition rate of single mode, the bimodal fusion method based on speech and facial expression is proposed. First, we establishes emotional database include speech and facial expression. For different emotions, calm, happy, surprise, anger, sad, we extract ten speech parameters and use the PCA method to detect the speech emotion. Then we analyze the bimodal emotion detection of fusing facial expression information. The experiment results show that the emotion recognition rate with bimodal fusion is about 6 percent points higher than the recognition rate with only speech prosodic features.

关键词： speech feature facial expression fusion algorithm emotion detection system

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Research on latent fingerprint ultraviolet polarization imaging detection technology 2

Research on latent fingerprint ultraviolet polarization imag...

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2nd Target Recognition and Artificial Intelligence Summit Forum

作者： Jia Rong Wang Feng Yin Zhangkun Wang Sunchen Wu Yunzhi Chinese Acad Peoples Liberat Army Artillery Air Def Acad Hefei 230031 Peoples R China Key Lab Polarized Light Imaging Detect Technol An Hefei 230031 Peoples R China

ISBN: (纸本)9781510636323

Latent fingerprint is an important material evidence in criminal cases, and the appearance of latent fingerprint is one of the key problems of physical evidence testing technology. Polarization imaging detection technology can realize non-destructive detection of latent fingerprint. This paper introduces the basic principle of UV polarization imaging detection, designs the UV polarization imaging detection system, and carries out UV polarization imaging experiments on four types of latent fingerprints such as perspiration fingerprint, oil stain fingerprint, blood stain fingerprint and gray stain fingerprint, and obtains effective experiment. The UV polarization characteristics of latent fingerprints are analyzed and the polarization information adaptive selection fusion algorithm is proposed by using the difference and complementarity of different polarization parameters. The results show that the non-destructive detection of latent fingerprints is effectively realized by UV polarization imaging detection technology. Compared with general intensity images, the contrast of polarized images is obviously improved, and the details are richer. It has practical value and research on nondestructive detection of latent fingerprints. significance.

关键词： Latent fingerprint nondestructive testing ultraviolet polarization polarization parameter fusion algorithm

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Research on product design platform based on intelligent algorithm and user cognition

Research on product design platform based on intelligent alg...

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International Conference on Intelligent Design (ICID)

作者： Cai, Wanxin Lin, Li Guizhou Univ Key Lab Modern Mfg Technol Minist Educ Guiyang 550000 Guizhou Peoples R China Guizhou Univ Sch Mech Engn Guiyang 550000 Guizhou Peoples R China

ISBN: (纸本)9781665414814

The cognitive differences between users and designers make the effective mapping between product appearance design and user requirements a design problem. Product design has multi-dimensional characteristics, it is difficult for traditional design methods to consider the design issues comprehensively, and the sample size is small, resulting in deviations between the design plan and user needs. In response to these problems, it is proposed to build a product design platform that integrates intelligent algorithms with user cognition to achieve effective matching between product design schemes and user cognition. Quantitatively analyze the design plan data, dig out the key design feature elements of each dimension, objectively and rationally study the product design and development process, and provide a reference for establishing an effective and humanized product design collaborative service platform, thereby simplifying the designer's design and development process. The knowledge acquisition program promotes the production of fast and efficient design solutions.

关键词： product design fusion algorithm user awareness artificial intelligence

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A New Image fusion Method Using Image Block Segment

A New Image Fusion Method Using Image Block Segment

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2010 3rd IEEE International Conference on Computer Science and Information Technology—ICCSIT 2010

作者： ZHANG Bin College of Information Science and Engineering Shandong University of Science and Technology,SUST Qingdao,China

The objective of image fusion is to combine information from different source images of the same scene to achieve a new image which can provide much more visual information than the source *** paper proposes a new image fusion method using image black *** to the contrast of block,the original images are separated into clear part,blurring part and the part between clear part and blurring *** the clear part and blurring one,the former is selected as the corresponding block of fusion *** part between clear part and blurring one is fused by the choice of the corresponding pixel based on the *** results show that the method achieved better fusion effect.

关键词： image fusion multi-focus image fusion algorithm wavelet transformation

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