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作者： Xie, Pingfu Wang, Yunlong He, Bo Xie, Guoqi College of Computer Science and Electronic Engineering Hunan University Changsha China Key Laboratory for Embedded and Network Computing of Hunan Province Changsha China United Automotive Electronic Systems Co. Ltd. Shanghai China

Automotive software systems have become increasingly complex and huge, leading to long development cycle and increased development difficulty. When a complete automotive software project has reached a scale of several gigabytes, the complicated development process is prone to produce the following two irregular problems: (1) variable inconsistency problem and (2) code coexistence problem. These irregular problems may eventually lead to serious consequences, such as car crashes. In response to the above irregular problems, we develop a variable consistency check tool called AutoToolVCC for automotive software projects. AutoToolVCC divides the variable consistency check process into two stages: (1) extracting all variable information from the automotive software project and (2) checking the consistency of the variables through the variable preprocessing technique and the variable attribute check technique. After an actual check of multiple automotive software projects (approximately 500–1000 MB in size) provided by an automotive manufacturer, the accuracy of variable consistency check is as high as 100%, and the check time only takes about 10–30 s, whereas the pervious plain method needs 100–600 s. © 2020 John Wiley & Sons, Ltd.

关键词： Accidents

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Sensor data fusion based on an improved dempaster-shafer evidence theory in vehicular cyber-physical systems

Sensor data fusion based on an improved dempaster-shafer evi...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： Mengmeng Ma Jiyao An Zhong Huang Zhangbao Cao Key Laboratory of Embedded and Network Computing of Hunan Province Hunan University Changsha PR China

ISBN: (纸本)9781479977895

In Vehicular Cyber-Physical Systems (VCPS), the collected sensor data are always uncertain and conflicting. Dempster-Shafer (DS) evidence theory can effectively deal with uncertain information, but the Dempster's rule may produce counter-intuitive results when the information is conflicting. This paper proposed an improved approach for combining conflicting evidence with different weighting factors based on a novel dissimilarity measure. Firstly, a new dissimilarity measure mixing fuzzy nearness with the introduced correlation coefficient is proposed to characterize the divergence degree between two basic probability assignments (BPAs). Then, the weighting factors are developed by using the proposed dissimilarity measure. Finally, the Dempster's rule is chose to combine the revised sources. Simulation experiment shows that the improved method can effectively solve the problem of sensor data fusion in VCPS with better convergence performance.

关键词： Cyber-physical systems Yttrium Real-time systems Weight measurement Data integration Correlation coefficient Reliability

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TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework

arXiv

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arXiv 2024年

作者： Ouyang, Jinhui Zhu, Yijie Yuan, Xiang Wu, Di Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha Hunan410082 China

The precise prediction of multi-scale traffic is a ubiquitous challenge in the urbanization process for car owners, road administrators, and governments. In the case of complex road networks, current and past traffic information from both upstream and downstream roads are crucial since various road networks have different semantic information about traffic. Rationalizing the utilization of semantic information can realize short-term, long-term, and unseen road traffic prediction. As the demands of multi-scale traffic analysis increase, on-demand interactions and visualizations are expected to be available for transportation participants. We have designed a multi-scale traffic generation system, namely TrafficGPT, using three AI agents to process multi-scale traffic data, conduct multi-scale traffic analysis, and present multi-scale visualization results. TrafficGPT consists of three essential AI agents: 1) a text-todemand agent that is employed with Question & Answer AI to interact with users and extract prediction tasks through texts;2) a traffic prediction agent that leverages multi-scale traffic data to generate temporal features and similarity, and fuse them with limited spatial features and similarity, to achieve accurate prediction of three tasks;and 3) a suggestion and visualization agent that uses the prediction results to generate suggestions and visualizations, providing users with a comprehensive understanding of traffic conditions. Our TrafficGPT system focuses on addressing concerns about traffic prediction from transportation participants, and conducted extensive experiments on five realworld road datasets to demonstrate its superior predictive and interactive performance. Copyright © 2024, The Authors. All rights reserved.

关键词： Visualization

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Discriminative hough-voting for object detection with parts

Discriminative hough-voting for object detection with parts

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International Conference on Mechatronic Science, Electric Engineering and Computer

作者： Yaodong Chen Renfa Li Key Laboratory for Embedded and Network Computing of Hunan Province Changsha China

ISBN: (纸本)9781479925667

Many detection models rely on sliding-window methods to search all possible candidates and then localize true instances by linear classifiers. Such exhaustive search involves massive computation. Hough voting scheme provides an alternative way to localize objects. Typical voting-based approaches, casting independent votes for a hypothesis, ignore the mutual relevance of features. The weights of the features for voting are learnt in a simple way. These two weaknesses limit the detection performance of the voting scheme. This paper introduces a novel voting-based model. We group the model features into parts. The features in one part are dependent and can cast consistent votes for a given hypothesis. For a given hypothesis we introduce an overall score function whose parameters can be optimized in a discriminative way. We apply a latent learning framework to deal with part-level weak supervision. The experiments evaluate the proposed model on two standard datasets. We demonstrate significant improvements in detection performance comparing the start-of-the-art detection models.

关键词： Object detection Computational modeling Shape Feature extraction Training Search problems Transforms

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Improvement on masked S-box hardware implementation

Improvement on masked S-box hardware implementation

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2012 International Conference on Innovations in Information Technology, IIT 2012

作者： Zeng, Juanli Wang, Yi Xu, Cheng Li, Renfa Embedded System and Network Laboratory Hunan University Changsha Hunan 410082 China Hunan Province Key Laboratory of Network and Information Security Hunan University Changsha Hunan 410082 China College of Information Science and Engineering Hunan University Changsha Hunan 410082 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore

ISBN: (纸本)9781467311014

Masking in gate level could efficiently protect AES S-box out of power analysis attack. But there still exists a kind of attack, called glitch attack, to achieve the sensitive information from gate cell leakage. Some works had been done to resist against glitch attack, which carefully masked AND gate or used Wave Dynamic Differential Logic (WDDL) cell. In this paper, we propose an improved masked AND gate, in which the relationship between input masked values and masks is nonlinear. Usually, when converting S-box operations from GF(2 8) to GF(((22)2)2), all the necessary computations become XOR and AND operations. Therefore, to fully mask AES S-box is to substitute the unmasked XOR and AND operations with the proposed masked AND gate and protected XOR gate. Although the proposed masked AND gate take up one extra XOR gate than Trichina's design and Baek's design, it can resist against glitch attack without using specific gate cell, such as WDDL. © 2012 IEEE.

关键词： Field programmable gate arrays (FPGA)

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A unified architecture for DPA-resistant PRESENT

A unified architecture for DPA-resistant PRESENT

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2012 International Conference on Innovations in Information Technology, IIT 2012

作者： Zhao, Wei Wang, Yi Li, Renfa Embedded System and Network Laboratory Hunan University Changsha Hunan 410082 China Hunan Province Key Laboratory of Network and Information Security Hunan University Changsha Hunan 410082 China College of Information Science and Engineering Hunan University Changsha Hunan 410082 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore

ISBN: (纸本)9781467311014

Recently, there is a new kinds of cryptographic algorithms are proposed to meet the requirements of "lightweight" applications. PRESENT is one of them, which is built based on 4-bit substitution transformation (S-box) and suitable for low cost hardware implementations. Usually, there needs two 4-bit S-boxes, Sp, ISp, for PRESENT encryption and decryption, in which ISp can be computed from Sp. Therefore, we proposed a unified architecture to supporting the operations of PRESENT encryption and decryption. There also exists a kind of power analysis attacks pose a serious threat on hardware based PRESENT. In order to resist against DPA, we proposed a new masking scheme for PRESENT, in which the nonlinear substitution needs to be carefully masked. In order to reduce the hardware resources for the proposed masking scheme, we reuse the masked Sp to generate masked ISp. The experimental results show that our proposed unified masked PRESENT takes up only one time larger than the unmasked existing design. But, it is obvious that our proposed design has the ability to defend against DPA. © 2012 IEEE.

关键词： Computer architecture

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On Efficient Feature Ranking Methods for High-Throughput Data Analysis

On Efficient Feature Ranking Methods for High-Throughput Dat...

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作者： Liao, Bo Jiang, Yan Liang, Wei Peng, Lihong Peng, Li Hanyurwimfura, Damien Li, Zejun Chen, Min Key Laboratory for Embedded and Network Computing of Hunan Province College of Information Science and Engineering Hunan University Changsha Hunan410082 China School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan411201 China Department of Computer Science and Engineering Changsha Medical University Changsha Hunan410219 China

Efficient mining of high-throughput data has become one of the popular themes in the big data era. Existing biology-related feature ranking methods mainly focus on statistical and annotation information. In this study, two efficient feature ranking methods are presented. Multi-target regression and graph embedding are incorporated in an optimization framework, and feature ranking is achieved by introducing structured sparsity norm. Unlike existing methods, the presented methods have two advantages: (1) the feature subset simultaneously account for global margin information as well as locality manifold information. Consequently, both global and locality information are considered. (2) Features are selected by batch rather than individually in the algorithm framework. Thus, the interactions between features are considered and the optimal feature subset can be guaranteed. In addition, this study presents a theoretical justification. Empirical experiments demonstrate the effectiveness and efficiency of the two algorithms in comparison with some state-of-the-art feature ranking methods through a set of real-world gene expression data sets. © 2015 IEEE.

关键词： Convex optimization

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Online object tracking based on local sparse representation in a Bayesian inference framewo

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Journal of Computational Information Systems 2015年第11期11卷 3919-3928页

作者： Liu, Zekun Xu, Cheng Key Laboratory for Embedded Network Computing of Hunan Province College of Computer Science and Electronic Engineering Hunan University Changsha China

Significant research has been devoted to object tracking. Most existing algorithms can track the object well in the controlled environment. However, they may fail in the presence of drastic appearance changes or complex environment variation. In the paper, for robustness object tracking, we proposed an algorithm based on the local sparse representation. Different from most of the traditional object representation which only consider the holistic representation, in our proposed algorithm, the image patch of the object is represented sparsely in the form of a linear combination of dictionary elements constructed online to deal with the target appearance changes. And the aim of the object tracking is posed as a binary classification problem. A linear classifier is learned for discriminate the object target from the background. Furthermore, we combine them in a Bayesian inference framework. To alleviate the tracking drift, we proposed a two-stage particle filtering method. Experiments on several benchmark video sequences has demonstrate that our proposed algorithm performs favorably contrasted with other several state-of-art algorithms. ©, 2015, Binary Information Press. All right reserved.

关键词： Bayesian networks

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Energy allocation for activity recognition in wearable devices with kinetic energy harvesting

Energy allocation for activity recognition in wearable devic...

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作者： Xiao, Ling Meng, Yu Tian, Xiaobing Luo, Haibo College of Computer Science and Electronic Engineering Hunan University Changsha China College of Computer Science Guangdong University of Science And Technology Dongguan China Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha China College of Computer and Control Engineering Minjiang University Fujian China

Harvesting kinetic energy from body movement is regarded as a promising rechargeable energy source for wearable devices with low-power. Energy allocation is essential for motion-based rechargeable devices since the great variability of energy gained from movement. Based on the realistic characteristics of an ultra-low-power wearable devices and our measurement observations, we propose the optimization framework allocating energy to maximize the average accuracy of human activity recognition and provide an offline and online algorithm, respectively. We evaluate the proposed energy allocation approach with real-world human activity and kinetic energy harvesting datasets. Experimental results validate that our proposed energy allocation approach can maximize the energy allocation utility and improve energy efficiency of wearable devices. © 2021 John Wiley & Sons, Ltd.

关键词： Kinetic energy

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A susceptor with a ^-shaped slot in a vertical MOCVD reactor by induction heating

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Journal of Semiconductors 2014年第9期35卷 11-15页

作者：李志明李海玲甘小冰江海鹰李金屏付小倩韩延彬夏英杰尹建芹黄艺美胡仕刚 Shandong Provincial Key Laboratory of Network Based Intelligent Computing School of Information Science and Engineering University of Jinan Shandong College of Electronic Technology College of Management Shenzhen University School of Information and Electrical Engineering Hunan University of Science and Technology

By using the numerical simulation for the temperature field in the metal organic vapor deposition （MOCVD） reactor by induction heating, it is found that the temperature distribution in the conventional cylinder-shaped susceptor is nonuniform due to the skin effect of the induced current, which makes the temperature distribution of the wafer nonuniform. Therefore, a novel susceptor with a A-shaped slot is proposed. This slot changes the mode and the rate of the heat transfer in the susceptor, which improves the uniformity of the temperature distribution in the wafer. By using the finite element method （FEM）, the susceptor with this structure for heating a wafer of four inches in diameter is optimized. It is observed that the optimized susceptor with the A-shaped slot makes the uniformity of the temperature distribution in the wafer improve by more than 85%, and a good uniformity of temperature distributions is kept under different wafer temperatures, which may be beneficial to the film growth.

关键词： induction heat MOCVD finite element analysis temperature field

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