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21st IEEE International Conference on Communication Technology, ICCT 2021

作者： Liang, Jingchao Wu, Jun Tan, Bin Ren, Haoqi Zhang, Zhifeng School of Computer Science and Technology Tongji University Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China Fudan University School of Computer Science Shanghai China Jinggangshan University Electronics and Information Engineering Ji'an China Tongji University Electronics and Information Engineering Shanghai China

ISBN: (纸本)9781665432061

5G technology is constrained by its higher frequency band and smaller coverage area, which leads to the need for operators to use technologies such as small cell base stations to increase the density of base station deployment to ensure signal coverage quality, which leads to more enormous construction costs. Therefore, it is urgent to find a safe and reliable solution that can use the existing public network to realize small cell base stations with automatic access. Based on this demand, we summarize various existing small cell base station automatic access technology solutions and their advantages and disadvantages while combing the characteristics of blockchain technology and its application solutions in similar scenarios. And then, we propose a new blockchain-based base station automatic access solution and implements the system in a practical scenario. In our solution, we innovatively introduce blockchain as an intermediate manager for small base stations and core networks, which solves traditional solutions requiring customized equipment while ensuring safety and reliability. It reduces costs and improves efficiency, but some problems are brought by the 'decentralization' of blockchain waiting to be solved. © 2021 IEEE.

关键词： Blockchain

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Detecting vehicle target in SAR image with high moment

Detecting vehicle target in SAR image with high moment

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International Radar Symposium (IRS)

作者： Renzhou Gui Zhi Wang State Key Laboratory of Satellite Ocean Environment Dynamics The Key Laboratory of Embedded System and Service Computing Ministry of Eduction College of Electronics & Information Engineering Tongji University Shanghai China

Vehicle detection in SAR image is attractive field. High moments included numerous information is proposed to exploit in the field. It not only restrains Gaussian noise automatically, but also suppresses non-gaussian noise. Man-made targets in are different from the background clutter. Moreover, the influence of the shadow about man-made targets is reduced in the algorithm of high moments. We utilize high moments to avoid to analyst the complex scatter theory. By analyzing the relevent theory and practical calculated method of high order moments, we compare the difference of probability of detection between the target chip and clutter chip to achieve the goal of detection. Through processing lots of actual SAR data which is added different kinds of noise, we compare the performance between high order moments and low-order moments method.

关键词： Noise Vehicles Clutter Probability density function Object detection Graphics Moment methods

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A three-stage method to find refining schedules of crude oil operations in refinery

A three-stage method to find refining schedules of crude oil...

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IEEE International Conference on service Operations and Logistics, and Informatics, SOLI

作者： Naiqi Wu LiPing Bai MengChu Zhou School of Mechatronics Engineering Guangdong University of Technology Guangzhou China MoE Key Laboratory of Embedded System and Service Computing University of Tongji Shanghai China ECE New Jersey Institute of Technology Newark NJ USA

A short-term scheduling problem for crude oil operations is highly challenging. There lack efficient techniques and software tools for its solution. Our prior research shows that it may be solved in a hierarchical way. At the upper level, we find a realizable refining schedule to optimize concerned objectives. At the lower level, a detailed schedule is obtained to realize it. This work attempts to present a three-stage method to solve the the upper level problem from a control perspective. The first stage solves a linear programming problem to determine the maximal production rate. The second one solves a transportation problem to optimally assign crude oil types and volume to the distillers. The last one adjusts and sequences oil parcels. Consequently, the proposed method is computationally efficient. An industrial case study is presented to show the result.

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Design and Implementation of Communication Module in Passive ultrasonic Sensor Networks

Design and Implementation of Communication Module in Passive...

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2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

作者： Lina Han Rui Zhao Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University Shan The Third Research Institute of The Ministry of Public Security Shanghai China

ISBN: (纸本)9781424479573

Passive sensor networks can achieve accurate detection of target under complex environment In order to adapt to different communication demands of sensor networks in different environments, this paper designed and implemented a wireless and wired mixed communication module, that is, a communication system combined short-distance wireless communication based on radio frequency technology with broadband cable communication. Simulation results show that our system can achieve the desired requirements in different circumstances.

关键词： sensor network wireless communication radio frequency (RF) wired communication

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Sensor data quality assessment for building simulation model calibration based on automatic differentiation

Sensor data quality assessment for building simulation model...

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2013 IEEE International Conference on Automation Science and Engineering, CASE 2013

作者： Li, Sisi Song, Zhen Zhou, Mengchu Lu, Yan Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07013 United States Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Automation and Control Siemens Corporation Corporate Technology Princeton NJ 08540 United States

ISBN: (纸本)9781479915156

Building simulation models play a vital role in optimal building climate control, energy audit, fault detection and diagnosis, continuous commissioning, and planning. Real system parameters are often unknown or partially unknown and need to be identified through historical data, which are currently acquired by heuristically designed experiments. Without quality sensor data, model calibration is prone to fail, even if the calibration algorithm is appropriate. In this paper, we propose a Fisher-information-matrix (FIM)-based metric to examine the sensor data measurements and how their quality is related to the model calibration quality. It aims to provide quantitative guidance in the calibration cycle of a whole building model that takes as many variables as possible into consideration for the sake of accuracy. Our concerned model is based on well-known physical laws and tries to avoid simplification, thereby leading to a highly discontinuous system with model switches due to the seasonal or daily variation and other reasons. Such a model is implemented in the form of a software package. Hence, no explicit mathematical expression can be given. A key technical challenge is that the complexity of the model prohibits the analytical derivation of FIM, while the numeric calculation is sensitive to sensor noise and model switches. We, hence, propose to adopt an automatic differentiation method, which exploits the operator overload feature of object oriented programming language, for robust numerical FIM calculation. © 2013 IEEE.

关键词： Numerical methods

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Optimizing skyline queries in SPA distributed networks

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2013年第8期41卷 1515-1520页

作者： Huang, Zhen-Hua Xiang, Yang Sun, Sheng-Li Chen, Qian Department of Computer and Technology Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China School of Software and Microelectronics Peking University Beijing 102600 China

Skyline query has recently received a lot of attention in information service community. The TPAOSS (Three-Phase Algorithm for Optimizing Skyline Scalar) algorithm has two performance drawbacks: (1) in the third phase of TPAOSS, as the number of objects on net nodes increases, the length of bloom filter will increases exponentially, which will seriously influence the efficiency of obtaining replicated values and the occupation size of memory;(2) the TPAOSS algorithm does not consider the computation efficiency of local or global subspace skyline queries in each net node. Motivated by these facts, we propose EPSSQDN (Efficient Processing of Subspace Skyline Queries in Distributed Networks), an algorithm for efficient processing of subspace skyline queries in SPA distributed networks. Moreover, in order to further reduce the computation cost of subspace skyline queries and decrease the volume of data transferred, we present an efficient optimized techniques. Furthermore, we present extensive experiments that demonstrate our method is more advantageous than the TPAOSS algorithm.

关键词： Information services

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Berth-crane allocation model and algorithm of container berths in the uncertain environment

Berth-crane allocation model and algorithm of container bert...

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8th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2013

作者： Liu, Jian-Xin Du, Yu-Yue Hong, Yong-Fa Sun, Lin-Lin College of Information Science Engineering Shandong University of Science and Technology QingdaoShandong266590 China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China College of Civil Engineering and Architecture SUST QingdaoShandong266590 China

ISBN: (纸本)9783642375019

According to the randomness of the vessel’s arrival time and handling time, the establishment of a randomly-oriented environment container berths— crane allocation model, the optimizing goal is to minimize the average ship-waiting time. Taking into account the complexity of the model solution, this paper offers the design of an improved genetic algorithm to reduce the searching space, and according to the characteristics of the optimal solution. With testing example to verify that the model can simulate decision-making environment of berths— crane allocation problem and reflect the decision-maker’s attitude toward risks and preferences. The algorithm can gain a stable and satisfactory solution within the operating time. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Genetic algorithms

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Adaptation of Mismatching services Based on Labelled Interface Automata

Adaptation of Mismatching Services Based on Labelled Interfa...

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Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)

作者： Tao Liu Guosun Zeng Department of Computer Science and Technology Tongji University Shanghai 200092 China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji Universit

In today's web, more and more software and applications are wrapped as services. However interactions between services are not always perfectly completed because of mismatches among them. service mediation and adaptation problems obtain increasingly concerns. In this paper, we propose an extension of interface automata, labelled interface automata, to illustrate mismatching services and adaptation. We characterize the problem by classifying different kinds of adaptation scenarios. Then we focus on how to use labelled interface automata to illustrate the building of adaption service between mismatching services.

关键词： mismatching service adaptation interface automata

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Vehicle localisation using a single camera

Vehicle localisation using a single camera

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IEEE Symposium on Intelligent Vehicle

作者： Jianzhu Cui Fuqiang Liu Zhipeng Li Zhen Jia Key Laboratory of Embedded System and Service Computing supported by Ministry of Education University of Tongji Shanghai China United Technologies Research Center Shanghai China

Lots of rear end collisions due to driver inattention have been identified as a major automotive safety issue. A short advance warning can reduce the number and severity of the rear end collisions. This paper describes a Forward Collision Warning (FCW) system based on monocular vision, and presents a new vehicle detection method: appearance-based hypothesis generation, template tracking-based hypothesis verification which can remove false positive detections and automatic image matting for detection refinement. The FCW system uses time to collision (TTC) to trigger the *** order to compute time to collision (TTC), firstly, haar and adaboost algorithm is utilized to detect the vehicle; Secondly, we use simplified Lucas-Kanade algorithm and virtual edge to remove false positive detection and use automatic image matting to do detection refinement; Thirdly, hierarchical tracking system is introduced for vehicle tracking; Camera calibration is utilized to get the headway distance and TTC at last. The use of a single low cost camera results in an affordable system which is simple to install. The FCW system has been tested in outdoor environment, showing robust and accurate performance.

关键词： Cameras Vehicle detection Road accidents Radar tracking Image edge detection Calibration Radar detection Laser radar Educational technology Vehicle safety

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Tracking Salient keypoints for Human Action Recognition

Tracking Salient Keypoints for Human Action Recognition

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IEEE International Conference on systems, Man and Cybernetics

作者： Hanli Wang Yun Yi Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China Department of Mathematics and Computer Science Gannan Normal University Ganzhou China

ISBN: (纸本)9781479986989

It plays an important role to recognize human actions from realistic videos in multimedia event detection and understanding. To this aim, a novel human tracking approach is proposed in this paper. Firstly, salient key points trajectories are generated to track human actions at multiple spatial scales. Then, camera motion elimination is utilized to further improve the robustness of motion trajectories. To depict human motions accurately and efficiently, the Histogram of Oriented Gradient (HOG), Histogram of Optical Flow (HOF) and Motion Boundary Histogram (MBH) are employed with the Fisher vector model being utilized to aggregate these three features. Extensive experimental results on four challenging human action video datasets demonstrate that the proposed approach is able to achieve better recognition performances in a more computationally efficient manner as compared with a number of state-of-the-art approaches.

关键词： Trajectory Videos Tracking Cameras Robustness Feature extraction Optical saturation

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