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2011 IEEE International Conference on service Operations, Logistics and Informatics, SOLI 2011

作者： Wu, Naiqi Bai, Liping Zhou, Mengchu School of Mechatronics Engineering Guangdong University of Technology Guangzhou 510090 China MoE Key Laboratory of Embedded System and Service Computing Tongji University Shanghai 200092 China ECE NJIT Newark NJ 07 102 United States

ISBN: (纸本)9781457705731

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. © 2011 IEEE.

关键词： Crude oil

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ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting

arXiv

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arXiv 2024年

作者： Zheng, Qi Yao, Zihao Zhang, Yaying The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China

Spatial-temporal forecasting is crucial and widely applicable in various domains such as traffic, energy, and climate. Benefiting from the abundance of unlabeled spatial-temporal data, self-supervised methods are increasingly adapted to learn spatial-temporal representations. However, it encounters three key challenges: 1) the difficulty in selecting reliable negative pairs due to the homogeneity of variables, hindering contrastive learning methods;2) overlooking spatial correlations across variables over time;3) limitations of efficiency and scalability in existing self-supervised learning methods. To tackle these, we propose a lightweight representation-learning model ST-ReP, integrating current value reconstruction and future value prediction into the pre-training framework for spatial-temporal forecasting. And we design a new spatial-temporal encoder to model fine-grained relationships. Moreover, multi-time scale analysis is incorporated into the self-supervised loss to enhance predictive capability. Experimental results across diverse domains demonstrate that the proposed model surpasses pre-training-based baselines, showcasing its ability to learn compact and semantically enriched representations while exhibiting superior scalability. Copyright © 2024, The Authors. All rights reserved.

关键词： Self-supervised learning

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Study on stability of traffic flow for cooperative driving control

Study on stability of traffic flow for cooperative driving c...

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IEEE Symposium on Intelligent Vehicle

作者： Zhipeng Li Ping Wang Fuqiang Liu Key Laboratory of Embedded System and ServIce Computing supported by Ministry of Education University of Tongji Shanghai China

ISBN: (纸本)9781424435036

In the literature of traffic flow theory, the research on the effect on stability of traffic flow for cooperative driving control possesses an important significance. However, presently the the study on the problem is unsatisfactory because it is difficult to determine the impact qualitatively or quantitatively in real traffic experiment. In this paper, some efforts have been made for better understanding the effect on stability of traffic flow for cooperative driving control by investigating the stability for lattice traffic models, which are presented here by incorporating motion information of cars preceding. From linear stability analysis and direct simulations validation, we learn some properties of the effect on the stability and congestion waves by using the information of many other cars. First, cooperative driving behavior of many cars preceding can efficiently stabilize the traffic flow. Second, cooperative driving behavior of the cars nearby plays a prominent role in stability. Third, when the car number participating in cooperative driving policy exceeds a certain value, the congestion waves will disappear.

关键词： Traffic control Control systems Communication system traffic control Roads Laboratories embedded system embedded computing Stability analysis Transportation Mathematical model

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Visual Tracking Based on Mixture Motion Model and Incorporate Observation Distribution

Visual Tracking Based on Mixture Motion Model and Incorporat...

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Congress on Image and Signal Processing, CISP

作者： Keju Zu Yu Yang Zhipeng Li Fuqiang Liu Min Tian The Key Laboratory of Embedded System and Service Computing supported by Ministry ofEducation University of Tongji Shanghai China

Accurate visual object tracking through long sequences is a challenging task since object's appearance changes and complex motion happens. We present mixture motion model and incorporate observation model within the Monte Carlo framework to achieve robust visual tracking. The mixture motion model which employs important history motion information of the target is built according to a motion measurement matrix to model the target's transition state. Meanwhile, the incorporate observation model is established by introducing SVM classification scores into normal tracking observation model. A particles filter's implementation with these mixture models is demonstrated, which leads to robust tracking results, especially in occlusion and complex scene.

关键词： Target tracking Particle tracking Monte Carlo methods Robustness Support vector machines Support vector machine classification Particle filters History Signal processing Laboratories

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A Remote Debugging system for OpenMP Parallel Program

A Remote Debugging System for OpenMP Parallel Program

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International Conference on Transportation, Mechanical, and Electrical Engineering

作者： Hua Chai Qinqin Shi The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China

ISBN: (纸本)9781457717000

A remote debugging system for OpenMP parallel program is presented in this paper. The system consists of two parts, namely, an integrated debugging environment running on the clent-side and a background daemon running on the server-side. Information exchange between the two sides is accomplished through the socket-based network communication technology. The remote debugging function is realized by the automatic instrumentation technology at code level based on syntax tree. Instance tests show that the system can provide remote users with correctness checking, performance analysis and other debugging functions for OpenMP parallel programs. The user interface is simple and very easy to use.

关键词： Parallel Program OpenMP Remote Debugging Syntax Tree Instrumentation Technology

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Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting

arXiv

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arXiv 2022年

作者： Liu, Aoyu Zhang, Yaying The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai201804 China

Accurate traffic forecasting is essential for urban traffic control, route planning, and flow detection. Although many spatial-temporal methods are currently proposed, they are still deficient in synchronously capturing the spatial-temporal dependence of traffic data. In addition, most methods ignore the hidden dynamic associations that arise between the road network nodes as it evolves over time. We propose a neural network-based Spatial-Temporal Interactive Dynamic Graph Convolutional Network (STIDGCN) to address the above challenges for traffic forecasting. Specifically, we propose an interactive dynamic graph convolution structure which divides the traffic data by intervals and synchronously captures the divided traffic data‘s spatial-temporal dependence through an interactive learning strategy. The interactive learning strategy motivates STIDGCN effective for long-range forecasting. We also propose a dynamic graph convolution module through a novel dynamic graph generation method to capture the dynamically changing spatial correlations in the traffic network. Based on a priori knowledge and input data, the dynamic graph generation method can generate a dynamic graph structure, which allows exploring the unseen node connections in the road network and simulating the dynamic associations between nodes over time. Extensive experiments on four real-world traffic flow datasets demonstrate that STIDGCN outperforms the state-of-the-art baselines. Copyright © 2022, The Authors. All rights reserved.

关键词： Convolution

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A novel adaptive algorithm for location based on Distance-Loss model in complex environment 20

A novel adaptive algorithm for location based on Distance-Lo...

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20th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2016

作者： Fang, Hao Liu, Min Li, Fei Shen, Weiming Zhang, Feng School of Electronic and Information Engineering Tongji University Shanghai201804 China Department of Computer Zhejiang University City College Hangzhou310015 China Key Laboratory of Embedded System and Service Computing Tongji University Shanghai201804 China

ISBN: (纸本)9781509019151

Location based services are the hottest applications on mobile device nowadays. Indoor wireless position is the key technology to enable location based service to work well indoors, where Global Position system normally couldn't work. The main tendency of indoor wireless position is based on Bluetooth and RSSI (radio signal strength indicator). RSSI is the key parameter for wireless position. But values of RSSI are affected by environment factors easily. Because of this reason, results got from the indoor location technology are usually imprecise and unacceptable. In this paper, an adaptive algorithm based on Distance-Loss model in complex environment is introduced to deal with such problems. The algorithm makes the model adapt to the environment by several parameters which are not influenced by environment. The stability and the accuracy of the algorithm is evidenced by a series of strict experiences. © 2016 IEEE.

关键词： Location

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Reliable Web services Selection Using a Heuristic Algorithm

Reliable Web Services Selection Using a Heuristic Algorithm

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The Ninth International Conference on Grid and Cloud computing(第九届网格与云计算国际学术会议 GCC 2010)

作者： Hongjie Shen Zhijun Ding Hongzhong Chen The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China

Web services composition (WSC) is the key techniques in its application. Dynamically selecting reliable Web services (WSs) becomes crucial to users. In fact, most works regard a Web service (WS) as the basic unit and selection with end-to-end, and as more and more WSs become available, the WSs selection problem is a complex NP-hard optimization problem. So, in this paper, the WSs consist of the operations and the WSs selection problem is formalized as a finite state machine process and we proposed a backward algorithm to create the WSC tree (WSCT). Then, we proposed a heuristic algorithm to complete the selection of WSs based on the WSCT. The results of experiment show our proposed heuristic algorithm is effective.

关键词： Web services composition heuristic algorithm service selection reliability

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Association analysis between symptoms (signs) and syndromes of chronic gastritis based on associated density

Association analysis between symptoms (signs) and syndromes ...

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2012 International Conference on system Simulation, ICUSS 2012

作者： Liu, G.P. Li, G.Z. Yan, S.X. Li, F.F. Fu, J.J. Zhen, R.W. Laboratory of Information Access and Synthesis of TCM Four Diagnosis Basic Medical College Shanghai University of Traditional Chinese Medicine Shanghai 201203 China Key Laboratory of Embedded System and Service Computing Department of Control Science and Engineering Tongji University Shanghai 201804 China

ISBN: (纸本)9781849195386

Purpose: The analysis of syndrome distribution and the association between symptom((signs))-syndrome in chronic gastritis (CG) patients can provide references for research about Traditional Chinese Medicine (TCM) diagnosis and treatment of CG. Method: This paper applies the investigation method of clinical epidemiology, adopts probability statistics method and comes up with the concept of associated density to conduct association analysis of symptom-syndrome. Result: In the distribution of syndromes patients who have a single syndrome occupy 64.7% of the whole sample;some symptoms have been selected out, of which the associated density is more than 0.6. Conclusion: Through this comparison of the values, we found the obvious one-way relationship of the symptoms (signs) and syndromes, and the results are in line with traditional Chinese medicine theory. This method effectively complements and supports traditional Chinese medicine point of view and hypothesis.

关键词： Diagnosis

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Reply to Comments on 'Direct-Splitting-Based CN-FDTD for Modeling 2D Material Nanostructure Problems'

IEEE Open Journal of Antennas and Propagation

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IEEE Open Journal of Antennas and Propagation 2021年 2卷 676-678页

作者： Feng, Naixing Zhang, Yuxian Zeng, Qingsheng Tong, Mei Song Joines, William T. Wang, Guo Ping Institute of Microscale Optoelectronics Shenzhen University Shenzhen China College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing China Key Laboratory of Embedded System and Service Computing of the Ministry of Education College of Electronics and Information Engineering Tongji University Shanghai China Department of Electrical and Computer Engineering Duke University DurhamNC United States

In this response letter, we focus on addressing Yu Hang Yang's comments so that the correctness and validity of the proposed auxiliary-differential-equation-based (ADE) Crank-Nicolson finite-difference time-domain method with direct-splitting technique (CNDS-FDTD) are demonstrated. Moreover, related applications in modeling 2D material nanostructure problems are shown. © 2020 IEEE.

关键词： Finite difference time domain method

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