检索结果-内蒙古大学图书馆

International Conference on Wireless and Optical Communications ( WOCC)

作者： Shih-Tang Su Cheng-Guan Hou Shih-Chun Lin Chan-Nan Lu Wei-Ho Chung Research Center for Information Technology Innovation Academia Sinica Taipei Taiwan Department of Electronic and Computer Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Electrical Engineering National Sun Yat-sen University Kaohsiung Taiwan

The change-point detection of Power Quality (PQ) events has been a critical issue in smart grids because of the wide adoption of delicate power electronic devices. In this work, we design algorithms to achieve two goals. The first one is to detect various PQ events in the quickest sense under the false alarm constraints. The second goal is to mitigate the severe misdetection caused by the malfunctioned or affected sensors. To achieve these goals, we adopted the matrix cumulative sum (CUSUM) algorithm to perform the hypothesis test of different PQ events. Then, we propose a simplified matrix CUSUM algorithm to reduce the computational complexity by utilizing the statistical characteristics of PQ events. To overcome the degradation caused by malfunctioned or affected sensors, a fault tolerant decision fusion mechanism was proposed with slight cost of detection delay. Finally, simulation results are shown to validate the proposed algorithm and mechanism.

关键词： Voltage fluctuations Smart grids change detection algorithms Intelligent sensors Sensor phenomena and characterization Fault tolerance

来源：评论

学校读者我要写书评

暂无评论

Unsupervised automatic change detection in images under time-varying illumination

Unsupervised automatic change detection in images under time...

引用

IEEE Region 10 International Conference TENCON

作者： N. D. Atkekar Sayeed Ahmed Khan M. A. Joshi Pune India Department of Electronics and Telecommunication College of Engineering Department of Electronics and Telecommunication College of Engineering Pune India

It is not surprising that the process of change detection is fundamental to many machine vision applications. Most change detection algorithms assume that the illumination on a scene will remain constant. Unfortunately, this assumption is not necessarily valid outside a well-controlled laboratory setting. The accuracy of existing algorithms decreases significantly when faced up with image sequences in which the illumination is allowed to vary. In this paper an unsupervised change detection algorithm has been proposed, it performs the change detection without any additional information besides the raw images considered. It performs well under time-varying illumination conditions, where other algorithms fail to perform.

关键词： Lighting Layout detection algorithms change detection algorithms Machine vision Educational institutions Image motion analysis Algorithm design and analysis Pixel Laboratories

来源：评论

学校读者我要写书评

暂无评论

change detection BASED ON FULLY-CONNECTED CONDITIONAL RANDOM FIELD WITH REGION POTENTIAL IN REMOTE SENSING IMAGES

CHANGE DETECTION BASED ON FULLY-CONNECTED CONDITIONAL RANDOM...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Yanfeng Shang Guo Cao Youqiang Zhang The Third Research Institute of Ministry of Public Security Shanghai China School of Computer Science and Engineering Nanjing University of Science and Technology China

In this paper, a new change detection method based on fully-connected conditional random field (FCCRF) with region potential is proposed. To deal with over-smoothing problem in FCCRF model, we propose to add region boundary constraint into FCCRF model. The proposed method defines the unary potential using the memberships of unsupervised fuzzy C-means clustering, designs the pairwise potential by a linear combination of Gaussian kernels using the complete set of pixels in the multi-temporal images to suppress noise effects, implements the region potential by the mean probability of pixels within image objects to preserve details of object boundary information. Experimental results demonstrate that the proposed method improves the change detection accuracy, turns out to be more robust against noise than traditional approaches.

关键词： Remote sensing Kernel Image segmentation Image resolution Speckle change detection algorithms Task analysis

来源：评论

学校读者我要写书评

暂无评论

Foreword to the Special Issue on Analysis of Multitemporal Remote Sensing Images

引用

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2018年第12期11卷 4548-4550页

作者： Bruzzone, L. Deronde, B. Swinnen, E. Univ Trento Dept Comp Sci & Informat Engn I-38123 Trento Italy VITO Remote Sensing B-2400 Mol Belgium

The thirteen papers in this special section were presented at the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017), hosted by VITO Remote Sensing on June 27-29, 2017.

关键词： Special issues and sections Meetings Vegetation mapping Time series analysis Unsupervised learning change detection algorithms Deep learning

来源：评论

学校读者我要写书评

暂无评论

Non-cooperative behavior in networking

引用

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2007年第6期25卷 1065-1068页

作者： Buttyan, Levente Hubaux, Jean-Pierre Li, Li (Erran) Li, Xiang-Yang Roughgarden, Tim Leon-Garcia, Alberto Budapest Univ Technol & Econ Budapest Hungary Ecole Polytech Fed Lausanne CH-1015 Lausanne Switzerland Bell Labs Murray Hill NJ 07974 USA IIT Chicago IL 60616 USA Stanford Univ Stanford CA 94305 USA

The 17 papers in this special issue focus on non-cooperative behavior in networking. They deal with non-cooperative behaviors arising from a wide variety of networks: cellular, wireless LAN, ad hoc networks and wireline networks. From a protocol layering perspective, they address game-theoretic issues in (1) modulation, power control, and subchannel assignment in the physical later, (2) contention window in the MAC layer, (3) multihoming and routing in the network layer, and (4) resource allocation.

关键词： Routing Nash equilibrium Convergence Media Access Protocol Detectors Ad hoc networks Communication networks IP networks Forward contracts change detection algorithms

来源：评论

学校读者我要写书评

暂无评论

Detecting and Visualizing the change in Classification of Customer Profiles based on Transactional Data

引用

EVOLVING SYSTEMS 2013年第1期4卷 27-42页

作者： Apeh, Edward Gabrys, Bogdan Bournemouth Univ Smart Technol Res Ctr Sch Design Engn & Comp Poole BH12 5BB Dorset England

Customer transactions tend to change over time with changing customer behaviour patterns. Classifier models, however, are often designed to perform prediction on data which is assumed to be static. These classifier models thus deteriorate in performance over time when predicting in the context of evolving data. Robust adaptive classification models are therefore needed to detect and adjust to the kind of changes that are common in transactional data. This paper presents an investigation into using change mining to monitor the adaptive classification of customers based on their transactions through moving time windows. The classification performance of two-class decision tree ensembles built using the data binning process based on the number of items purchased was monitored over varying 3, 6, 9 and 12 months time windows. The changing class values of the customer profiles were analysed and described. Results from our experiments show that the proposed approach can be used for learning and adapting to changing customer profiles.

关键词： Adaptive systems Classification algorithms change detection algorithms Data mining Decision support systems Industry applications

来源：评论

学校读者我要写书评

暂无评论

SIMPLIFIED TONE DETECTOR FOR PCM CHANNEL

引用

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING 1983年第1期31卷 8-16页

作者： AGNEW, D BELL NO RES OTTAWA K1Y 4H7ONTARIOCANADA

A digital correlator for detecting multifrequency signaling tones is described. The theory is first presented for a continuous correlator using a fixed sine wave burst. A substitution, using a change in the time reference of the correlating sine wave, is then introduced. By introducing this change, a modified computational algorithm is derived which reduces the number of multiplications required at each sampling instant to four. For the digital implementation, the effects of sampling and quantization of the internal arithmetic are discussed.

关键词： Detectors Phase change materials Correlators Signal detection Sampling methods Digital filters Frequency change detection algorithms Quantization Digital arithmetic

来源：评论

学校读者我要写书评

暂无评论

COMPUTER algorithms FOR PLAGIARISM detection

引用

IEEE TRANSACTIONS ON EDUCATION 1989年第2期32卷 94-99页

作者： PARKER, A HAMBLEN, JO School of Electrical Engineering Georgia Institute of Technology Atlanta GA USA

A survey of computer algorithms used for the detection of student plagiarism is presented. A summary of several algorithms is provided. Common features of the different plagiarism detection algorithms are described. E... 详细信息

关键词： Plagiarism Writing Microcomputers Computer networks Automatic control Character generation change detection algorithms White spaces Logic

来源：评论

学校读者我要写书评

暂无评论

ON EDGE-detection OF X-RAY IMAGES USING FUZZY-SETS

引用

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1983年第1期5卷 69-77页

作者： PAL, SK KING, RA INDIAN STAT INST ELECTR & COMMUN SCI UNITCALCUTTA 700035W BENGALINDIA

The effectiveness of the theory of fuzzy sets in detecting different regional boundaries of X-ray images is demonstrated. The algorithm includes a prior enhancement of the contrast among the regions (having small change in gray levels) using the contrast intensification (INT) operation along with smoothing in the fuzzy property plane before detecting its edges. The property plane is extracted from the spatial domain using S, π and (1 - π) functions and the fuzzifiers. Final edge detection is achieved using max or min operator. The system performance for different parameter conditions is illustrated by application to an image of a radiograph of the wrist.

关键词： Image edge detection X-ray imaging Fuzzy sets X-ray detection X-ray detectors change detection algorithms Smoothing methods System performance Radiography Wrist Author Keywords Contrast intensification edge detection enhancement fuzzy set image processing S and ¿ functions X-ray

来源：评论

学校读者我要写书评

暂无评论

Real-time algorithm for changes detection in depth of anesthesia signals

引用

EVOLVING SYSTEMS 2013年第1期4卷 3-12页

作者： Sebastiao, Raquel Silva, Margarida M. Rabico, Rui Gama, Joao Mendonca, Teresa Univ Porto LIAAD INESC TEC Rua Ceuta 118 6 P-4050190 Oporto Portugal Univ Porto Fac Ciencias Dept Matemat P-4169007 Oporto Portugal Uppsala Univ Dept Informat Technol Div Syst & Control S-75105 Uppsala Sweden

This paper presents a real-time algorithm for changes detection in depth of anesthesia signals. A Page-Hinkley test (PHT) with a forgetting mechanism (PHT-FM) was developed. The samples are weighted according to their "age'' so that more importance is given to recent samples. This enables the detection of the changes with less time delay than if no forgetting factor was used. The performance of the PHT-FM was evaluated in a two-fold approach. First, the algorithm was run offline in depth of anesthesia (DoA) signals previously collected during general anesthesia, allowing the adjustment of the forgetting mechanism. Second, the PHT-FM was embedded in a real-time software and its performance was validated online in the surgery room. This was performed by asking the clinician to classify in real-time the changes as true positives, false positives or false negatives. The results show that 69 % of the changes were classified as true positives, 26 % as false positives, and 5 % as false negatives. The true positives were also synchronized with changes in the hypnotic or analgesic rates made by the clinician. The contribution of this work has a high impact in the clinical practice since the PHT-FM alerts the clinician for changes in the anesthetic state of the patient, allowing a more prompt action. The results encourage the inclusion of the proposed PHT-FM in a real-time decision support system for routine use in the clinical practice.

关键词： Adaptive systems Data flow analysis change detection algorithms Dynamic behavior

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：