2018 Eighth International Conference on Information Science and Technology (ICIST)最新文献_第6页

A Novel Migration Technique to Balance Thermal Distribution for Future Heterogeneous 3D Chip Multiprocessors 一种新的迁移技术来平衡未来异构三维芯片多处理器的热分布

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426111

S. Aljeddani, F. Mohammadi

{"title":"A Novel Migration Technique to Balance Thermal Distribution for Future Heterogeneous 3D Chip Multiprocessors","authors":"S. Aljeddani, F. Mohammadi","doi":"10.1109/ICIST.2018.8426111","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426111","url":null,"abstract":"The industry trend of Chip Multiprocessors (CMPs) architecture is to move from 2D CMPs to 3D CMPs architecture which obtains higher performance, more reliability, reduced cache access latency, and increased cache bandwidth. Moreover, 3D CMP architectures have recently gained significant attention to tackle the increasing power consumption in single core processors. However, one key challenge in designing the 3D CMP is the thermal issue as a result of maximizing the throughput. The thermal hotspot causes performance degradation and reliability reduction in the 3D CMP. In this paper, a run-time task migration approach is proposed to balance the temperature and reduce the number of hotspots in the 3D CMP without any performance degradation. The proposed approach is divided into two algorithms that aim at maximizing the throughput on the 3D CMP while satisfying the peak temperature constraint. Experimental results on the PARSEC benchmarks show that the proposed architecture yields up to 60 % reduction in overall chip energy with just 17 % performance degradation on average over all the used workloads. The best energy saving was 72 % with a negligible performance degradation.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133433672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A Compression Hashing Scheme for Large-Scale Face Retrieval 一种用于大规模人脸检索的压缩哈希算法

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426095

Jiayong Li, Wing W. Y. Ng, Xing Tian

{"title":"A Compression Hashing Scheme for Large-Scale Face Retrieval","authors":"Jiayong Li, Wing W. Y. Ng, Xing Tian","doi":"10.1109/ICIST.2018.8426095","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426095","url":null,"abstract":"Hashing method has the intrinsic problem that a long binary code yields better precision but requires a larger storage cost. Most of existing hashing methods aim to find an optimal code length to trade off the precision and storage. However, in reality, the scale of the face images is enormous and thus the storage burden is unimaginative heavy. We propose to apply a similarity-preserving compression scheme to existing unsupervised hashing methods, so as to reduce storage burden while maintaining a high precision. We employ two different lengths of code, including a long code with original length and a short code with length after m-time compression. The hash code for the query face preserves the original code length while the hash code for stored image is compressed with a ratio m to reduce storage cost. When performing face retrieval, the compressed hash code for the stored face is m-time repeatedly concentrated, in order to be compared with the long hash code for the query based on Hamming distance. Experimental results on large-scale retrieval demonstrate that the proposed compression scheme can be efficiently applied in existing methods and achieves both a high precision and a small storage space.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114123571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AP Based CBR for Endpoint Carbon Content Prediction of BOF Steelmaking 基于AP的CBR转炉炼钢终点含碳量预测

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426080

Yuan Cheng, Jun Xing, Jie Dong, Zhiseng Wang, Xinzhe Wang

引用次数: 0

A Robust and Accurate Simultaneous Localization and Mapping System for RGB-D Cameras RGB-D相机的鲁棒精确同步定位与制图系统

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426128

Huayou Wang, Y. Hu, Liying Yang, Yuqing He

{"title":"A Robust and Accurate Simultaneous Localization and Mapping System for RGB-D Cameras","authors":"Huayou Wang, Y. Hu, Liying Yang, Yuqing He","doi":"10.1109/ICIST.2018.8426128","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426128","url":null,"abstract":"This paper presents a feature-based simultaneous localization and mapping (SLAM) system for RGB-D cameras that operates in real time, in indoor environments. The system is composed of three central components: tracking, mapping and loop closing which are based on ORB-SLAM2 [1]. The tracking part estimates the pose of a frame via optimizing both the reprojection error and inverse depth error of matching feature points, rather than just optimizing the reprojection error like ORB-SLAM2 [1]. The mapping part optimizes the pose of all keyframes and the position of all map points by using bundle adjustment, and an occupancy grid map of the surrounding environment is constructed based on the octree-based mapping framework OctoMap [2] for high-level tasks, and the map is more useful then the sparse points representation in ORB-SLAM2 [1]. The loop closing of ORB-SLAM2 [1] just uses color appearance information, but our system uses both the color appearance information and depth consistency to deal with inaccurate data association. The experiment results in the TUM RGB-D dataset [3] shows that our system achieves better localization accuracy and robustness than ORB-SLAM2 [1].","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125117902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of Unilateral Restriction of the Metatarsophalangeal Joints on Biped Robot Walking 跖趾关节单侧受限对双足机器人行走的影响

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426106

Yixiang Liu, Xizhe Zang, Niansong Zhang, Yubin Liu, Ming Wu

引用次数: 1

Classification of Dynamic In-Hand Manipulation Based on SEMG and Kinect 基于表面肌电信号和Kinect的动态手部操作分类

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426180

Yaxu Xue, Zhaojie Ju, Kui Xiang

引用次数: 2

A Projection-Based Algorithm for Constrained L1- Minimization Optimization with Application to Sparse Signal Reconstruction 基于投影的约束L1最小化优化算法及其在稀疏信号重构中的应用

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426078

Qingshan Liu, Wei Zhang, Jiang Xiong, Bingrong Xu, Long Cheng

引用次数: 0

Binocular Vision-Based Autonomous Path Planning for UAVs in Unknown Outdoor Scenes 基于双目视觉的未知室外场景无人机自主路径规划

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426133

Yisha Liu, Yan Zhuang, Long Wan, Ge Guo

引用次数: 5

8th International Conference on Information Science and Technology 第八届信息科学与技术国际会议

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/icist.2018.8426170

引用次数: 0

Weakness of Ultra-Lightweight Mutual Authentication PRotocol for IoT Devices Using RFlD Tags 使用rfid标签的物联网设备的超轻量级互认证协议的弱点

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426178

J. Khor, M. Sidorov

引用次数: 9