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2011 7th IEEE International Conference on Automation Science and Engineering, CASE 2011

作者： Ratnakar, Ashish R. Zhou, MengChu Dept. of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102-1982 United States MoE Key Laboratory of Embedded System and Service Computing Tongji University Shanghai 200092 China

ISBN: (纸本)9781457717307

This work presents a method to detect the size and location of tumor in soft tissues using ultrasound. Quantitative ultrasound is utilized to allow an ultrasound signal to be sent from a transmitter to multiple receivers. This received signal is analyzed for echogenic and echolucent tumors to differentiate between the two along with non-tumor sample and also studied for the delay to determine the size/location of the tumor. The proposed system utilizes Low Transient Pulse (LTP) technique and is implemented using Field Programmable Gate Array (FPGA) and Digital Signal Processor (DSP) technologies. In this co-design architecture, DSP carries out the analysis of received demodulated signal at a lower speed while FPGA runs at a higher one to generate LTP signal and demodulate bandpass ultrasonic signal. This work elaborates the implementation of Quadrature Amplitude Modulation (QAM) receiver on FPGA for the received signal from an ultrasound detector. LTP is applied to the tumor samples through the transmitter and the received signal at an ultrasonic receiver is passed through QAM to obtain different maxima that are then further used to compute the location and the size of the tumor using DSP. This dual platform co-design demonstrates a good application of a FPGA/DSP platform for the LTP generation and received signal processing. © 2011 IEEE.

关键词： Tumors

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A framework of video coding for compressing near-duplicate videos

A framework of video coding for compressing near-duplicate v...

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20th Anniversary International Conference on MultiMedia Modeling, MMM 2014

作者： Wang, Hanli Ma, Ming Jiang, Yu-Gang Wei, Zhihua Department of Computer Science and Technology Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China School of Computer Science Fudan University Shanghai China

ISBN: (纸本)9783319041131

With the development of multimedia technique and social network, the amount of videos has grown rapidly, which brings about an increasingly substantial percentage of Near-Duplicate Videos (NDVs). It has been a hot research topic to retrieve NDVs for a number of applications such as copyright detection, Internet video ranking, etc. However, there exist a lot of redundancies in NDVs, and to the best of our knowledge it is an untouched research area on how to efficiently compress NDVs in a joint manner. In this work, a novel video coding framework is proposed to effectively compress NDVs by making full use of the relevance among them. Experimental results demonstrate that a significant storage saving can be achieved by the proposed NDV coding framework. © 2014 Springer International Publishing.

关键词： Video signal processing

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Evolutionary behavior verification to the trustworthy banking software

Evolutionary behavior verification to the trustworthy bankin...

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International Conference on Computer Engineering and technology

作者： Jiang, Zuo-Wen Tang, Xian-Fei Ding, Zhi-Jun Jiang, Chang-Jun Electronics and Information Engineering School Tongji University 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University 200092 China College of Science and Technology NingBo University 315211 China

ISBN: (纸本)9781424463503

Oriented to the goal of high-quality banking softwares, trustworthiness is emerging to be important property. This paper studies how to apply formal methods into the trustworthy property preservation of evolutionary components, focusing on the safety property of the concurrent software behavior, this paper presents a new approach to curb the state explosion problem in the model checking based trustworthiness verification. By adopting the environment reduction paradigm, our method is able to reduce the global states of the system by hiding the internal actions of the environment that does not join in the interleaving composition. The method presented is proved and testified with a bank software case study. Experiment data shows that our method is able to improve the verification efficiency. © copy;2010 IEEE.

关键词： Model checking

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Towards Planning Package Delivery Paths by Exploiting the Crowd of Private Cars 24

Towards Planning Package Delivery Paths by Exploiting the Cr...

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24th IEEE International Conference on High Performance computing and Communications, 8th IEEE International Conference on Data Science and systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Nie, Hejing Wen, Yiping Li, Tiancai Ouyang, Sipeng Tian, Muyang School of Computer Science and Engineering Hunan University of Science and Technology China Hunan University of Science and Technology Hunan Key Laboratory for Service Computing and Novel Software Technology China

ISBN: (纸本)9798350319934

Crowdsourced delivery can provide cost-effective deliveries and it is becoming increasingly important in practice. This paper considers a package delivery problem which exploits relays of private cars to transport packages via their commuter routes. Specifically, we propose a method of planning package delivery paths based on the commuter routes of private cars. Using the commuter routes and time constraints as the reference, it can find optimal delivery paths and assign drivers of private cars to transport packages. The simulation experiment results show the validity and effectiveness of such method. © 2022 IEEE.

关键词： Cost effectiveness

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Disk based pay-as-you-go record linkage

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Frontiers of Computer Science 2022年第4期16卷 227-229页

作者： Chenchen Sun Derong Shen Key Laboratory of Computer Vision and System(Ministry of Education) Tianjin University of TechnologyTianjin300384China College of Intelligence and Computing Tianjin UniversityTianjin300350China School of Computer Science and Engineering Northeastern UniversityShenyang110189China

1Introduction Record linkage(RL)groups_records corresponding to the same entities in datasets,and is a long-standing topic in data management and mining communities[1-2].In big data era,real-time data applications become popular,and callfor payas-you-go RL(PRL),which produces as many match pairs as possible in very limited time(much shorter than the overall RLruntime).

关键词： record linkage mining

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Incorporate Personas and Emotions into Dialog Generation 5

Incorporate Personas and Emotions into Dialog Generation

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5th International Academic Exchange Conference on Science and technology Innovation, IAECST 2023

作者： Wu, Yufeng Liu, Chengyu Guo, Wenjian Beijing University of Posts and Telecommunications Key Laboratory of Trustworthy Distributed Computing and Service Beijing China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing China

ISBN: (纸本)9798350357738

Since the Turing test, creating believable open-domain dialogues has been a basic problem in the study of artificial intelligence. Achieving success with dialogue models can greatly improve natural human-computer interactions and open up new possibilities for applications such as chatbots for therapy. Incorporating emotional information into dialogue systems and giving them personas can enhance user satisfaction by fostering more natural communication and human-like conversations. Both of these study directions are comparatively well-established, with important accomplishments in them. On the other hand, various roles in real-life discussion scenarios portray emotions in different ways. In order to create more fulfilling and human-like discussions, we investigate in this study the integration of personas and emotions in dialogue creation systems. Through the combination of explicit and implicit persons, we tackle the problem of individualized and emotional conversation. While implicit personas are gleaned from linguistic style, colloquial idioms, and personality attributes, explicit personas are derived from user profiles. Explicit personas and emotional labels are incorporated into the dialogue agent, and implicit personas are captured through the use of latent variables in a pre-trained Transformer model. Our suggested method enhances the authenticity of discussions and user experience by producing responses that are consistent with personas and emotions, hence improving the quality of communication. © 2023 IEEE.

关键词： Human computer interaction

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A Study of Prototypical Network Techniques for Cross-Subject EEG Analysis 27

A Study of Prototypical Network Techniques for Cross-Subject...

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27th European Conference on Artificial Intelligence, ECAI 2024

作者： Liu, Wenchao Wang, Guagnyu He, Yuhong Bo, Hongjian Ma, Lin Li, Haifeng State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China Faculty of Computing Harbin Institute of Technology Harbin China Shenzhen Academy of Aerospace Technology Shenzhen China

ISBN: (纸本)9781643685489

Electroencephalography (EEG), a technique that uses electrodes on the scalp to record changes in cerebral electrical potentials, plays a key role in various brain-computer interface applications. However, due to the large differences in EEG distribution across subjects, how to accurately classify cross-subject EEG is still a challenge. In practice, it is unavoidable to collect data for each subject to perform calibration, which is cumbersome and expensive. In this paper, we propose a Cross Subject EEG Prototypical Network (CS-EEGPNet) for accurate few-shot EEG classification. To the best of our knowledge, we are the first to eliminate inter-subject distribution shift in few-shot EEG classification through multiple feature layers computation. Specifically, to avoid the effect of individual differences, we propose a few-shot feature normalization (FSFN) method, which uses the mean and variance of the same subject’s support set features to normalize the query set features. Meanwhile, we design a prototypical module based on auxiliary factors. This module utilizes learnable vectors to store category-related information for assisting the construction of prototypes, thus mitigating the effects of EEG’s randomness and non-stationary characteristics on cross-subject few shot classification. To validate the effectiveness of the method, we selecte the motor imagery paradigm, which is relatively complex in brain-computer interfaces, and test our method on the BCIC IV 2a and HGD datasets. The results demonstrate that our method significantly enhances EEG classification performance, achieving the state-of-the-art accuracies. © 2024 The Authors.

关键词： Electroencephalography

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Stacking monolayers at will:A scalable device optimization strategy for two-dimensional semiconductors

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Nano Research 2022年第7期15卷 6620-6627页

作者： Xiaojiao Guo Honglei Chen Jihong Bian Fuyou Liao Jingyi Ma Simeng Zhang Xinzhi Zhang Junqiang Zhu Chen Luo Zijian Zhang Lingyi Zong Yin Xia Chuming Sheng Zihan Xu Saifei Gou Xinyu Wang Peng Gong Liwei Liu Xixi Jiang Zhenghua An Chunxiao Cong Zhijun Qiu Xing Wu Peng Zhou Xinyu Chen Ling Tong Wenzhong Bao State Key Laboratory of ASIC and System School of MicroelectronicsZhangjiang Fudan International Innovation CenterFudan UniversityShanghai 200433China The Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen 518057China Department of Physics State Key Laboratory of Surface PhysicsInstitute of Nanoelectronic Devices and Quantum Computing and Key Laboratory of MicroFudan UniversityShanghai 200433China State Key Laboratory of ASIC and System School of Information Science and EngineeringFudan UniversityShanghai 200433China Shanghai Key Laboratory of Multidimensional Information Processing Department of Electronic Engineering East China Normal UniversityShanghai 200241China Shenzhen Six Carbon Technology Shenzhen 518055China Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials Fudan UniversityShanghai 200433China

In comparison to monolayer(1L),multilayer(ML)two-dimensional(2D)semiconducting transition metal dichalcogenides(TMDs)exhibit more application potential for electronic and optoelectronic devices due to their improved current carrying capability,higher mobility,and broader spectral ***,the investigation of devices based on wafer-scale ML-TMDs is still restricted by the synthesis of uniform and high-quality ML *** this work,we propose a strategy of stacking MoS_(2) monolayers via a vacuum transfer method,by which one could obtain wafer-scale high-quality MoS_(2) films with the desired number of layers at *** optical characteristics of these stacked ML-MoS_(2) films(>2L)indicate a weak interlayer *** stacked MLMoS_(2) phototransistors show improved optoelectrical performances and a broader spectral response(approximately 300-1,000 nm)than that of 1L-MoS_(2).Additionally,the dual-gate ML-MoS_(2) transistors enable enhanced electrostatic control over the stacked ML-MoS_(2) channel,and the 3L and 4L thicknesses exhibit the optimal device performances according to the turning point of the current on/off ratio and the subthreshold swing.

关键词： two-dimensional semiconductor field-effect transistors chemical vapor deposition(CVD)synthesis interlayer coupling vacuum transfer method dual-gate transistor

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Personalized web retrieval based on rough-fuzzy method

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Journal of Computational Information systems 2007年第3期3卷 1067-1074页

作者： Duan, Qiguo Miao, Duoqian Zhang, Hongyun Zheng, Ji Key Laboratory of 'Embedded System and Service Computing' Department of Computer Science and Technology Tongji University Shanghai 201804 China

A novel approach of rough-fuzzy hybridization is proposed for efficient personalized Web retrieval. Variable precision rough set model is used to discover user preference. Fuzzy sets are incorporated to take care of the real-valued weights in each document vector. Discerning keywords are identified to refine a query for more focused representation. To further filter out irrelevant documents for the user, retrieved results are re-ranked according to rough similarity measures. Experiments compared with traditional search engine are presented and experimental results indicate the performance of document retrieval is greatly improved.

关键词： Search engines

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Cluster synchronization of nonlinearly coupled networks via periodically intermittent pinning control

Cluster synchronization of nonlinearly coupled networks via ...

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Chinese Control Conference (CCC)

作者： Xiwei Liu Jiujun Cheng Department of Computer Science and Technology the Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Department of Computer Science and Technology the Key Laboratory of Embedded System Service Computing Shanghai China

In this paper, the cluster synchronization problem for nonlinearly coupled networks under periodically intermittent pinning control is studied. At first, a sufficient condition to guarantee cluster synchronization is presented. Next, an adaptive intermittent control algorithm is designed to the control strength and its validity is rigorously proved. Finally, some numerical examples are presented to demonstrate the correctness of obtained theoretical results.

关键词： Synchronization Couplings Symmetric matrices Adaptive systems Educational institutions Equations Neural networks

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