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2017 2nd International Conference on Artificial Intelligence: Techniques and Applications (AITA 2017)

作者： Hamdi Ahmed Rajeh Zhi-yong LI Al-Ghaili Mohammed College of Computer Science and Electronic Engineering Hunan University Key Laboratory for Embedded and Network Computing of Hunan Province

This paper presents a comparative study of two approaches to statistical machine translation(SMT).We present a study on Factored Machine Translation for the Arabic–English pair of *** illustrate pre-processing step for the Arabic source language and the new factors which added to the English target *** experiments that injected English side by part-ofspeech(POS) tags,Combinatory Categorical Grammar(CCG) supertags and segmented Arabic sentences displayed a considerable progress in terms of the BLEU *** experiments gained the premier examine of the Baseline phrase-based models during two approaches,Segmented(#S1) and non-segmented(#S2).In both approaches,CCG models acquired the greatest BLEU *** results show that the segmented approach which consists of CCG produce the highest accuracy at 30.91%(1.84% superior than baseline).As shown,the results presented considerable improvement in translating the segmented Arabic rather than the non-segmented into English language.

关键词： Phrase-based translation model Combinatory Categorial Grammar Part-of-speech Factored translation model Word segmentation

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Activity-specific caloric expenditure estimation from kinetic energy harvesting in wearable devices

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Pervasive and Mobile computing 2020年 67卷 101185-101185页

作者： Xiao, Ling Wu, Kai Tian, Xiaobing Luo, Juan College of Computer Science and Electronic Engineering Hunan University Changsha0731 China Key Laboratory for Embedded and Network Computing of Hunan Province China

Accurate and efficient estimation of caloric expenditure during daily activities is desirable in tracking personal activity and health. Kinetic energy harvesting (KEH) has created an opportunity for wearable devices with limited battery power to realize long-term human health monitoring. We postulate to utilize KEH device for calorie estimation instead of accelerometer considering that the kinetic energy is produced when the user expends some calories by doing the bodily movement. In this paper, we propose to use the output voltage of KEH for activity intensity classification and develop activity-specific regression models combined with anthropometric characteristics for caloric expenditure estimation by random forest. To validate our approach, we build a KEH hardware platform and collect the dataset of seven different activities in free-living conditions from ten participants. Experiment results show that our approach achieves an accuracy of 95. 7% to classify intensity of activity and yields a R2 coefficient of 0.93 for regression model and a root mean square error (RMSE) of 1.09 kcal/min to estimate calorie expenditure by only using the output voltage of KEH. The comparison experiments validate the effectiveness of KEH device for caloric expenditure estimation act as a substitute for accelerometer in terms of estimation accuracy and energy saving. © 2020 Elsevier B.V.

关键词： Energy harvesting

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Conversion-type anode chemistry with interfacial compatibility toward Ah-level near-neutral high-voltage zinc ion batteries

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National Science Review 2024年第7期11卷 226-238页

作者： Shan Guo Liping Qin Jia Wu Zhexuan Liu Yuhao Huang Yiman Xie Guozhao Fang Shuquan Liang School of Materials Science and Engineering Key Laboratory of Electronic Packaging and Advanced Functional Materials of Hunan ProvinceCentral South University College of Biological and Chemical Engineering Guangxi University of Science and Technology Information and Network Center Central South University

High-voltage aqueous zinc ion batteries（AZIBs） with a high-safety near-neutral electrolyte is of great significance for practical sustainable application; however, they suffer from anode and electrode/electrolyte interfacial incompatibility. Herein, a conversion-type anode chemistry with a low anodic potential, which is guided by the Gibbs free energy change of conversion reaction, was designed for high-voltage near-neutral AZIBs. A reversible conversion reaction between ZnC2O4·2H2O particles and three-dimensional Zn metal networks well-matched in CH3COOLi-based electrolyte was revealed. This mechanism can be universally validated in the battery systems with sodium or iodine ions. More importantly, a cathodic crowded micellar electrolyte with a water confinement effect was proposed in which lies the core for the stability and reversibility of the cathode under an operating platform voltage beyond 2.0 V, obtaining a capacity retention of 95% after 100 cycles. Remarkably, the scientific and technological challenges from the coin cell to Ah-scale battery, sluggish kinetics of the solid-solid electrode reaction, capacity excitation under high loading of active material, and preparation complexities associated with large-area quasi-solid electrolytes,were explored, successfully achieving an 88% capacity retention under high loading of more than 20 mg cm-2and particularly a practical 1.1 Ah-level pouch cell. This work provides a path for designing low-cost, eco-friendly and high-voltage aqueous batteries.

关键词： zinc compound anode conversion reaction voltage regulation interfacial design pouch cell

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Duplication based energy aware scheduling algorithm in heterogeneous many-core system-on-chip

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Journal of Computational Information Systems 2015年第8期11卷 2981-2988页

作者： Liu, Yan An, Mengmeng Chen, Xiaoming Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha China College of Computer National University of Defense Technology Changsha China

With the rapid development of semiconductor technology, hundreds of processor cores can be integrated into a single chip, known as "many-core system-on-chip". For the problem that performance and power consumption are equally important in heterogeneous many-core system-on-chip, this paper proposes an duplication based energy aware task scheduling algorithm, which balances the relationship between task scheduling time and energy consumption. Simulation experimental results show that the proposed algorithm can reduce the completion time and energy consumption, and leverage the relationship between them effectively. ©, 2015, Binary Information Press. All right reserved.

关键词： System-on-chip

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Holistic WCRT Analysis for Global Fixed-Priority Preemptive Multiprocessor Scheduling

Holistic WCRT Analysis for Global Fixed-Priority Preemptive ...

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Design Automation Conference

作者： Guoqi Xie Chenglai Xiong Wei Wu Renfa Li Wanli Chang Key Laboratory for Embedded and Network Computing of Hunan Province College of Computer Science and Electronic Engineering Hunan University China

Many embedded applications demand both resource efficiency and timing guarantee. However, resource sharing naturally complicates the analysis that extracts the worst-case scenario out of contention. Global Fixed-Priority (GFP) preemptive multiprocessor scheduling is one of the mainstream strategies to resolve contention on computational resources. It allows jobs of the same task to be executed on different processors, hence potentially enabling better parallelism and more efficient resource utilization. Unfortunately, its worst-case response time (WCRT) analysis is challenging. Existing approaches divide a high-priority task into three workloads, namely, carry-in workload, body workload, and carry-out workload, trying to optimize them individually. In this work, we propose a holistic WCRT analysis for GFP preemptive multiprocessor scheduling, where a task is no longer divided. Specifically, (i) we establish the tight interference scenario for the task being analyzed to find the most interfering high-priority jobs in any time interval; (ii) we obtain the starting released instant of each high-priority task’s first job to determine the maximum interference from high-priority tasks’ first jobs to the task being analyzed; (iii) we build the worst-case tight interference scenario for the task being analyzed by combining the tight interference scenario and the starting released instants; (iv) we prove that the WCRT of the task being analyzed can be decided by the worst-case tight interference scenario. Evaluation on schedulability shows that our proposed analysis achieves 4.2%-8.6% higher acceptance ratio in randomly generated data sets than the state-of-the-art workload division approaches.

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Brief Industry Paper: Response Time Evaluation of Cross-Domain Communication in CAN-FD and TSN

Brief Industry Paper: Response Time Evaluation of Cross-Doma...

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Real-Time Systems Symposium (RTSS)

作者： Wenhong Ma Xiaoyi Huang Dongsheng Wei Renfa Li Yunfei Zhang Guoqi Xie Wanli Chang Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University China Tencent Future Network Lab Tencent Corporation China

With the advancement of intelligence and networked automotive, the domain-centralized architecture, which employs time sensitive networking (TSN) as the inter-domain backbone network and control area network with flexible data rate (CAN-FD) as the intra-domain network, has garnered significant attention. However, cross-domain end-to-end communication involves multiple components, and significant disparities between TSN and CAN-FD render response time analysis within domain-centralized architecture for mixed-critical traffic exceptionally complex. In this paper, we develop a cross-domain with TSN and CAN-FD end-to-end response time evaluation tool, which analyzes the response time of mixed-critical traffic under different design options segment by segment. We specifically analyze the waiting times of different messages in the domain control unit when faced with the design options of one-to-one and multi-to-one conversion of CAN-FD and TSN frames. The proposed evaluation tool can be easily extended to different design options to support more application scenarios. Theoretical computational analysis and real hardware measurements show the effectiveness of our tool.

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Efficient differential fault analysis attacks to AES decryption for low cost sensors in IoTs

Efficient differential fault analysis attacks to AES decrypt...

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International Symposium on Circuits and Systems

作者： Limin Zhu Yi Wang Renfa Li Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha China Institute for Infocomm Research A?STAR Singapore

ISBN: (纸本)9781479953424

Robust sensor system plays an important role in Internet of Things (IoTs). These intelligent sensors are required to be low cost and reliable, which provides confidentiality for private sensitive data. However, this protected system is still under the risk of Differential Fault Analysis (DFA) attacks. In this paper, we focus on DFA attacks to AES decryption as decryption receives the equalling importance as encryption. First, we induce a fault at the input of the third round in the procedure of AES decryption, in which w e successfully break it using one pair of fault-free and faulty plaintexts within 232 searching space. Then, we improve this attack by use of S-Box distribution table, which reduces the computational time from 853 ms to 70 ms on a dual Intel(R) Pentium(R) E6700 core (3.20 GHz). Compared to the existing work, our proposed attack reduces 79.5% computational time when both methods employ two pairs of fault-free and faulty ciphertexts/plaintexts.

关键词： Ciphers Mathematical model Encryption Internet of things Intelligent sensors Sensor systems

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Infra-YOLO: Efficient Neural network Structure with Model Compression for Real-Time Infrared Small Object Detection

arXiv

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arXiv 2024年

作者： Chen, Zhonglin Geng, Anyu Jiang, Jianan Lu, Jiwu Wu, Di The College of Electrical and Information Engineering Hunan University Hunan Changsha410082 China The Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Hunan Changsha410082 China

Although convolutional neural networks have made outstanding achievements in visible light target detection, there are still many challenges in infrared small object detection because of the low signal-to-noise ratio, incomplete object structure, and a lack of reliable infrared small object dataset. To resolve limitations of the infrared small object dataset, a new dataset named InfraTiny was constructed, and more than 85% bounding box is less than 32x32 pixels (3218 images and a total of 20,893 bounding boxes). A multi-scale attention mechanism module (MSAM) and a Feature Fusion Augmentation Pyramid Module (FFAFPM) were proposed and deployed onto embedded devices. The MSAM enables the network to obtain scale perception information by acquiring different receptive fields, while the background noise information is suppressed to enhance feature extraction ability. The proposed FFAFPM can enrich semantic information, and enhance the fusion of shallow feature and deep feature, thus false positive results have been significantly reduced. By integrating the proposed methods into the YOLO model, which is named Infra-YOLO, infrared small object detection performance has been improved. Compared to yolov3, mAP@0.5 has been improved by 2.7%;and compared to yolov4, that by 2.5% on the InfraTiny dataset. The proposed Infra-YOLO was also transferred onto the embedded device in the unmanned aerial vehicle (UAV) for real application scenarios, where the channel pruning method is adopted to reduce FLOPs and to achieve a tradeoff between speed and accuracy. Even if the parameters of Infra-YOLO are reduced by 88% with the pruning method, a gain of 0.7% is still achieved on mAP@0.5 compared to yolov3, and a gain of 0.5% compared to yolov4. Experimental results show that the proposed MSAM and FFAFPM method can improve infrared small object detection performance compared with the previous benchmark method. © 2024, CC BY-NC-ND.

关键词： Convolutional neural networks

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A New Method for Evaluating Core Developers In Open Source Software 13

A New Method for Evaluating Core Developers In Open Source S...

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13th IEEE International Conference on Software Engineering and Service Science, ICSESS 2022

作者： Song, Yulin Wang, Tao Shen, Yang Chang, Junsheng National University of Defense Technology National Laboratory for Parallel and Distributed Processing Hunan Province Changsha China National University of Defense Technology Institute for Quantum Information State Key Laboratory of High Performance Computing Hunan Province Changsha China

ISBN: (数字)9781665410328

ISBN: (纸本)9781665410311

The high-quality development of Open Source Software(OSS) benefits from the contributions of developers. An important research question is how to truly assess the extent of contribution of all developers in open source software and effectively identify the core developers to avoid their loss. In this paper, we use the undirected weighted network model to build a Developer Collaboration network(DCN) based on developers and their contributions to the GitHub community's open source software Rails, analyse the characteristics of developer partnerships through the Developer Collaboration network, and propose a Developer Personal Impact Factor(DPIF) to evaluate the importance of developer, select the top 10 core developers in Rails, focus on their participation in the open source software process, and predicting the changes of their contributions. The experimental results show that core developers with extensive partnerships are more likely to associate with developers with fewer partnerships. The average degree of developer contribution does not increase with more developers. Developer partnerships are characterized by close localization and loose overall relationships. The Developer Personal Impact Factor identifies the core developers in open source software well. The Developer Personal Impact Factor gives a ranking in which the core team members rank in the top 1.17% on average. © 2022 IEEE.

关键词： Open source software

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Design and implementation of a fall detection monitor system with a voice interaction function for smartphones

Design and implementation of a fall detection monitor system...

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IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Ying-Wen Bai Chia-Hao Yu Chun-Cheng Chan Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha China Department of Computer Science The University of Texas at Dallas Richardson Texas

In this paper a smartphone fall detection system featuring a three-axis accelerometer sensor with a voice interaction function is presented. The value, measured by the three-axis accelerometer sensor, is sent to the program. It is then calculated and compared to the fall characteristics. When a fall is detected, the voice function asks whether the user needs help. If the fall is not serious, the user can cancel this emergency notification by means of either the voice interaction function or the touch panel. Otherwise the smartphone would automatically send out an emergency signal to the help center to request assistance for the user.

关键词： Smart phones Speech recognition Acceleration Accelerometers Global Positioning System Monitoring Gravity

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