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International Conference on Electric Utility Deregulation and Restructuring and Power Technologies

作者： Lingzhi Yi Minghui Fan Jijun Li Genping Wang Key Laboratory of Intelligent Computing & Information Processing Ministry of Education (Xiangtan University) Xiangtan Hunan China Department of Mechanical & Electricity Shenzhen Polytechnic Shenzhen Guangdong China

ISBN: (纸本)9781467371070

In distributed energy hybrid power system of intelligent building, Multi-input DC/DC converter has many advantages, simplifying the dynamic interface to the system for distributed power and playing voltage Boost or Buck more effectively in the system. Based on OpenADR communication protocol and according to electricity prices, the system load can be adjusted by the intelligent controller for the economic optimal goal Besides, an intelligent building DC Micro-grid simulation in which the Wind-PV-diesel battery hybrid power system also realized will be presented so as to increase accesses of distributed energy.

关键词： Open Auto-Dynamic Demand (OpenADR) intelligent Building DC Micro-grid Multi-inputs DC/DC Converter Mul-ti-resources Energy Smart Grid Interoperability

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Attack Intent Analysis Method Based on Attack Path Graph 2019

Attack Intent Analysis Method Based on Attack Path Graph

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Proceedings of the 2019 the 9th International Conference on Communication and Network Security

作者： Biqiong Chen Yanhua Liu Shijin Li Xiaoling Gao College of Mathematics and Computer Science Fuzhou University Fuzhou Fujian China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou Fujian China

ISBN: (纸本)9781450376624

With the rapid development of network technology, network security problems are gradually increasing, and the network attack situation is very severe. In a complex attack scenario, timely detection of potential attack behaviors and timely identification and pre-judgment of attack intentions are important components of security risks. However, the attack behavior in the network presents complexity, multi-step and uncertainty, which brings new technical challenges to attack intent analysis. Aiming at the problem that the attack intention of multi-step complex attack is difficult to identify, this paper proposes an attack intention analysis method based on attack path graph. Firstly, aiming at the multi-step complex attack behavior analysis problem, the key asset assessment technology is used to find out the key assets in the network system, and the hypothetical attack intention is generated according to the security protection requirements of the network system. Then, it is difficult to manually construct the attack path map in the large-scale network, and the automatic generation of the attack path map is realized. Finally, a method of network attack intent identification is proposed and a calculation method of attack intent probability is designed, which improves the efficiency and accuracy of attack intent recognition.

关键词： Vulnerability key Asset Vulnerability Exploitation Attack Intention Attack Path Graph

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Detection of Front-View Vehicle with Occlusions Using AdaBoost

Detection of Front-View Vehicle with Occlusions Using AdaBoo...

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International Conference on information Engineering and Computer Science (ICIECS)

作者： Chunpeng Wu Lijuan Duan Jun Miao Faming Fang Xuebin Wang College of Computer Sciences Beijing University of Technology Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)9781424449934

In this paper, we propose a vehicle detection method based on AdaBoost. We focus on the detection of front-view car and bus with occlusions on highway. Samples with different occlusion situations are selected into the training set. By using basic and rotated Haar-like features extracted from the samples in the set, we train an AdaBoost-based cascade vehicle detector. The performance tests on static images and short time videos show that (1) our approach detects cars more effectively than buses (2) the real-time detection of our method on video proceeds at 30 frames per second.

关键词： Vehicle detection Feature extraction Prototypes Detectors Videos Educational institutions Road vehicles Face detection Boosting Laboratories

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Research on the digital system of archaeological

Research on the digital system of archaeological

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第四届国际遥感考古会议

作者： CAO Ligang WANG Xuben MIAO Fang YI Fasheng Key Laboratory of Earth Exploration & Information Techniques of Ministry of Education Director of Key Lab of Pattern Recognition & Intelligent Information Processing of Sichuan Province

The digital system of Archaeological includes multi-scale non-destructive detection of archaeological methods,data mining technologies and the GIS of archaeological *** preservation is not just for the protection of cultural relics has been *** non-destructive detection method to detect archaeological artifacts and clarify the situation of cultural relics buried *** detection data through the using of data mining algorithm make out the archaeological ***,use GIS technology to achieve the detection of data management and integration of data mining methods.A whole system of digital archaeological built on the GIS platform,based on the using of data mining technology to achieve a detection method and archaeological information mapping,the system for the digital archaeology has provided a complete technical support.

关键词： Archaeology explore GIS Data mining

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Evaluation of Scholar’s Contribution to Team Based on Weighted Co-author Network 5th

Evaluation of Scholar’s Contribution to Team Based on Weigh...

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5th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2019

作者： Zhang, Xinmeng Li, Xinguang Jiang, Shengyi Li, Xia Xie, Bolin Laboratory of Language Engineering and Computing Guangdong University of Foreign Studies GuangzhouGuangdong510006 China Non-universal Language Intelligent Processing Laboratory Guangdong University of Foreign Studies GuangzhouGuangdong510006 China School of Information Science and Technology Guangdong University of Foreign Studies GuangzhouGuangdong510006 China

ISBN: (纸本)9789811501173

The contributions of scientific researchers include personal influence and talent training achievements. In this paper, using 9964 high-quality co-author scientific papers in English teaching research from China citation database from 1997 to 2016, a weighted coauthor network with variety factors is constructed. A model was proposed to calculate the author’s contribution to the research team by combining personal and network characteristics. The results reveal a variety of characteristics of the co-author networks in English teaching research field, including statistical properties, community features, and authors’ contribution to teams in this discipline. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Social networking (online)

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Bernstein Bezout Matrix with Applications to the Generalized Lienard-Chipart Stability Criterion

Bernstein Bezout Matrix with Applications to the Generalized...

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第三十八届中国控制会议

作者： Huazhang Wu Xiaoting Shen Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University School of Mathematical Sciences Anhui University

In polynomial and linear control systems, the Lienard-Chipart stability criterion plays an important role in the judgment of the zeros of a real polynomial based on the inertia of a Bezout matrix. In this paper we consider the case in the Bernstein polynomials basis. First, the Bernstein Bezout matrix and some important properties are introduced, and then a generalized perturbations of a real polynomial under the Bernstein polynomials basis is considered. Finally, a generalized Lienard-Chipart stability criterion in terms of the Bernstein Bezout matrix is established.

关键词： Bernstein polynomials basis Bernstein Bezout matrix perturbation Lienard-Chipart stability criterion

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A Dual-band Monopole Antenna with EBG for Wearable Wireless Body Area Networks

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Applied Computational Electromagnetics Society Journal 2021年第1期36卷 48-54页

作者： Wang, Chao Zhang, Liang Wu, Shenbing Huang, Shijie Liu, Changqing Wu, Xianliang Key Lab of Ministry of Education of Intelligent Computing & Signal Processing Anhui University Hefei City China AnHui Province Key Laboratory of Simulation and Design Electronic Information System Hefei Normal University Hefei City China

This paper proposes a dual-band wearable monopole antenna adopting an electromagnetic band-gap (EBG) structure, which operates at 2.45 and 5.8 GHz ISM bands and is suitable for wearable applications. Both the monopole antenna and the EBG structure are fabricated on an F4B semi-flexible substrate having a dielectric constant of 2.2. The EBG structure effectively isolates the human body from the radiation of the antenna and reduces the specific absorption rate (SAR) of it by more than 97.5%. This improves the antenna gain and the peak gain reaches 9.1 dBi at 5.8 GHz. The wearable performance of the antenna showed that it can sustain good performance even under realistic human body loading. Besides, the antenna has a small size, which makes it ideal for wearable applications. © ACES

关键词： Monopole antennas

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Gaussian Label Distribution Learning for Spherical Image Object Detection

Gaussian Label Distribution Learning for Spherical Image Obj...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Hang Xu Xinyuan Liu Qiang Zhao Yike Ma Chenggang Yan Feng Dai Hangzhou Dianzi University Hangzhou China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences Institute of Computing Technology Chinese Academy of Sciences Beijing China

Spherical image object detection emerges in many applications from virtual reality to robotics and automatic driving, while many existing detectors use $l_{n}$ -norms loss for regression of spherical bounding boxes. There are two intrinsic flaws for $l_{n}$ -norms loss, i.e., independent optimization of parameters and inconsistency between metric (dominated by IoU) and loss. These problems are common in planar image detection but more significant in spherical image detection. Solution for these problems has been extensively discussed in planar image detection by using IoU loss and related variants. However, these solutions cannot be migrated to spherical image object detection due to the undifferentiable of the Spherical IoU (SphIoU). In this paper, we design a simple but effective regression loss based on Gaussian Label Distribution Learning (GLDL) for spherical image object detection. Besides, we observe that the scale of the object in a spherical image varies greatly. The huge differences among objects from different categories make the sample selection strategy based on SphIoU challenging. Therefore, we propose GLDL-ATSS as a better training sample selection strategy for objects of the spherical image, which can alleviate the drawback of IoU threshold-based strategy of scale-sample imbalance. Extensive results on various two datasets with different baseline detectors show the effectiveness of our approach.

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An intelligent Call Center Platform for Mobile Communication Enterprises

An Intelligent Call Center Platform for Mobile Communication...

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WRI International Conference on Communications and Mobile computing, CMC

作者： Weimin Wang Liangliang Liu Dongsheng Wang Yanan Cao Yuming Wu Baoyuan Qi Dongchun Qiao Jingyang Guo Yufei Zheng Cungen Cao Li Jianghua Shi Yuan Li Ruilin Sang Changqin Shen Nan The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Guangdong Communication Group Customer Service Center Guangzhou China

ISBN: (纸本)9781424463275

In this paper, we introduced an intelligent call center platform (ICCP) for communication enterprises. The platform is based on two broad suites of technologies: Knowledge management and natural language processing. First, we designed an enterprise knowledge modeling technology, and provided a knowledge management system for managing customer service knowledge. Then mobile customers are allowed to send Chinese queries, through either Internet tools (e.g. MSN, QQ, BBS and Fetion) or Wireless SM devices (e.g. mobile phones), to a multi-tier natural language understanding engine, and the engine retrieves the knowledge bases to find correct answers after understanding the queries. The ICCP has been successfully used in a domestic communication group since March 2009, and achieved a satisfactory performance.

关键词： Mobile communication Knowledge management Search engines Natural language processing Process design Technology management Customer service Internet Samarium Mobile handsets

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Rethinking Super-Resolution as Text-Guided Details Generation

arXiv

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arXiv 2022年

作者： Ma, Chenxi Yan, Bo Lin, Qing Tan, Weimin Chen, Siming School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Shanghai Collaborative Innovation Center of Intelligent Visual Computing Fudan University China School of Data Science Fudan University China

Deep neural networks have greatly promoted the performance of single image super-resolution (SISR). Conventional methods still resort to restoring the single high-resolution (HR) solution only based on the input of image modality. However, the image-level information is insufficient to predict adequate details and photo-realistic visual quality facing large upscaling factors (×8, ×16). In this paper, we propose a new perspective that regards the SISR as a semantic image detail enhancement problem to generate semantically reasonable HR image that are faithful to the ground truth. To enhance the semantic accuracy and the visual quality of the reconstructed image, we explore the multi-modal fusion learning in SISR by proposing a Text-Guided Super-Resolution (TGSR) framework, which can effectively utilize the information from the text and image modalities. Different from existing methods, the proposed TGSR could generate HR image details that match the text descriptions through a coarse-to-fine process. Extensive experiments and ablation studies demonstrate the effect of the TGSR, which exploits the text reference to recover realistic images. © 2022, CC BY.

关键词： Deep neural networks

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