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10th IEEE International Conference on Cognitive Informatics and Cognitive computing, ICCI*CC 2011

作者： Luo, Xiangfeng Lu, Lei Liu, Weidong Zhang, Jun Xu, Lingyu School of Computer Engineering and Science High Performance Computing Center Shanghai University Shanghai 200072 China

ISBN: (纸本)9781457716966

The acquisition of deep textual semantics is a key issue on the process of text understanding which improves the performances of e-learning, web search and web services significantly. Though many methods have been developed to acquire textual semantics, the acquisition of deep textual semantics is still a challenge issue. Herein, the acquisition method of deep textual semantics is developed to enhance the capability of text understanding of machine, including two parts:1) how to obtain and organize the domain knowledge extracted from domain text set;2) how to stimulate the domain knowledge for obtaining the deep textual semantics. The activation process involves two cognitive mechanisms;one is the Landscape model and the other is human memory system model. The former model is a human reading model. The later model describes the memory change in the text reading process. Generalized semantic field is proposed to store the domain knowledge as the form of Long Time Memory (LTM). Specialized semantic field, which is acquired by the interaction between the text fragment and the domain knowledge, is introduced to describe the change process of textual semantics. By their mutual actions, we can get the deep textual semantics which enhances the capability of text understanding of machine;therefore, the machine can understand the text more precisely and correctly than those methods which only obtain surface textual semantics. © 2011 IEEE.

关键词： Semantics

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Building hierarchical keyword level association link networks for web events semantic analysis

Building hierarchical keyword level association link network...

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9th IEEE Int. Conf. on Dependable, Autonomic and Secure Comput., DASC 2011, incl. 9th Int. Conf. on Pervasive Intelligence and computing, PICom 2011, 9th Int. Symp. on Embedded computing, EmbeddedCom 2011, 1st Int. Conf. on Cloud and Green Comput.CGC

作者： Xuan, Junyu Luo, Xiangfeng Zhang, Shunxiang Xu, Zheng Liu, Huimin Ye, Feiyue School of Computer Engineering and Science High Performance Computing Center Shanghai University 200072 Shanghai China

ISBN: (纸本)9780769546124

With the increase of information scale of web events on the time, it is extremely difficult and challenging to grasp the semantics of web events artificially, because of the limitation of the time and energy of human beings. Herein, we propose a method to map the web event to keyword level association link network (KALN) for deep analysis of the semantics of web events, such as the evolution semantics of web events. Firstly, the original KALN is constructed at a given time by traditional data mining technologies. Then, the hierarchical KALN, consisted of Theme Layer Network, Backbone Layer Network and Tidbit Layer Network, is built based on the original KALN by information entropy to identify the different semantic levels of the web event, including stable semantics, sub-stable semantics and unstable semantics. With the semantic analysis of hierarchical KALN, human could easily gain a thorough understanding of the web event. Finally, experiments show that our method can effectively capture the different level semantics of web events. © 2011 IEEE.

关键词： Semantics

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Open-source Hardware: Different Approaches to Softcore implementation 6

Open-source Hardware: Different Approaches to Softcore imple...

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6th IEEE International Conference on Distributed computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022

作者： Hiremath, Sneha Chickerur, Satyadhyan Dandin, Joel Patil, Mihir Muddinkoppa, Bhoomi Adakoli, Shreerama Kle Technological University Centre for High Performance Computing School of Computer Science and Engineering Hubballi India

ISBN: (数字)9781665487160

ISBN: (纸本)9781665487160

Since the last few years, open-source hardware is preferred in the landscape of hardware development. Originally proprietary hardware was only developed by big multinational companies like AMD, Intel, and NVIDIA, which were expensive and general-purpose. Due to this, people started developing their own hardware. Open-source hardware has support from the opensource community, is developed at low cost, and has presently got a lot of support from developers and enthusiasts. Softcore is a microprocessor that can be implemented on FPGA using logic synthesis and can be fabricated as open-source hardware. This paper focuses on how various approaches to softcore implementation can be done on FPGA which would involve logic cells, CLBs, LUTs, RAM, etc. The soft cores which are built upon the RISC-V ISA, namely VexRISCV and RISC-V BOOM, as well as the softcores adhering to the POWER ISA, such as Microwatt and LibreSoC, are the main topics of discussion. These softcores are installed and simulated. To test the working of the ISA, some standard test cases and test suites are executed. Hardware implementation is done by porting the softcore onto a Xilinx Nexys A7-100T FPGA board. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Reasoning on formalizing WS-CDL mobility using process algebra

Reasoning on formalizing WS-CDL mobility using process algeb...

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2010 IEEE Asia-Pacific Services computing Conference, APSCC 2010

作者： Nduwimfura, Philbert Xu, Dong Miao, HuaiKou Lei, Zhou Chen, Bo School of Computer Engineering and Science High Performance Computing Center Shanghai University Shanghai 200072 China

ISBN: (纸本)9780769543055

With a good understanding of mobility mechanisms of WS-CDL, we can easily design applications that acquire, during the execution, all the information they need to invoke services. One of the means to ensure good interoperability between Web services is to formalize their mobility characteristics. Process algebras, such as π-calculus can be used to formalize Web Services characteristics and ensure that they satisfy some conditions required in SOA. The notion of mobility in process calculi refers to the fact that a process is able to exchange names as values. The core of π-calculus is based on interaction, using channel names as data, and the ability to generate fresh and unique names. This paper provides the basis for reasoning on formalizing mobility characteristics of Web services choreography using the process algebra π-calculus which is, according to Robin Milner, a model of concurrent computation based on the notion of naming. Formalizing mobility helps us to understand the nature of mobility, to reason about the behavior of mobile systems, and to develop model checking tools that are used to verify system correctness. © 2010 IEEE.

关键词： Web services

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Model interactive search between user and associated link networks

Model interactive search between user and associated link ne...

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作者： Zhu, Baiquan Luo, Xiangfeng Liu, Yang He, Xiang Xu, Lingyu School of Computer Engineering and Science High Performance Computing Center Shanghai University 200072 Shanghai China

ISBN: (纸本)9780769546124

Web search is a key information retrieval method for human beings in current society, both in the fields of academic and commercial activities. Due to "one-size-fits-all" approach limit to search results obtainment, there are still challenges to give personalized web service with high precision in traditional web search process. Herein, a new framework is proposed to advance traditional search process into a new paradigm, i.e. interactive search. First, a cognitive model of interaction process about one search step is developed by the imitation of human search behaviors. Then based on the theory of interactive computing, an interactive search model is introduced to formalize successive search sessions which include several search steps. Third, based on human's cognitive mechanism such as the spreading activation model and user memory theory, a user model is designed to capture user's search activities which can aid the interactive search process effectively. Last, by the help of Associated Link Network, an information gradient based rank algorithm is proposed aiming at maximizing the quantity of web information supply. The efficiency of our proposed interactive search service is verified by the experimental results. © 2011 IEEE.

关键词： Web services

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Activation Control of Vision Models for Sustainable AI Systems

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第7期5卷 3470-3481页

作者： Burton-Barr, Jonathan Fernando, Basura Rajan, Deepu Institute of High-Performance Computing The Centre for Frontier AI Research Agency for Science Technology and Research 138632 Singapore Nanyang Technological University Nanyang School of Computer Science and Engineering 639798 Singapore

As artificial intelligence (AI) systems become more complex and widespread, they require significant computational power, increasing energy consumption. Addressing this challenge is essential for ensuring the long-term sustainability of AI technology. AI-on-AI control refers to a system with a set of AI functions controlled by an upper-level AI model. Previous work in AI-on-AI control focuses on boosting accuracy or expanding system capability by increasing overall system cost. Alternatively, we focus on applying AI-on-AI control to decrease system cost and increase the sustainability and viability of a system with multiple AI functions. Our supervised image classification evaluative controller (SICEC) is a cost-reduction oriented AI-on-AI controller that learns when vision models within an AI system should be activated based on input features. The function controller (FC) preprocesses an input and activates relevant functions, functions being distinct units of AI functionality within the system. Some functions have a set of same functional models (SFMs). These models take the same input and produce the same output but have architectural differences. We introduce a same functional controller to select a SFM using the FC's decision confidence. Results are promising, with a decrease of up to 48.9% in inference time, 67.8% in floating point operations (FLOPs), and 66.4% in energy usage. With SICEC showing significant reductions in inference time and energy cost, our work contributes to limited resource computing and sustainable AI technology. © 2020 IEEE.

关键词： Energy utilization

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Parallel architecture and optimization for discrete-event simulation of spike neural networks

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science China(Technological sciences) 2013年第2期56卷 509-517页

作者： TANG YuHua ZHANG BaiDa WU JunJie HU TianJiang ZHOU Jing LIU FuDong Department of Computer Science and Technology School of ComputerNational University of Defense Technology State Key Laboratory of High Performance Computing National University of Defense Technology College of Mechatronic Engineering and Automation National University of Defense Technology

Spike neural networks are inspired by animal brains,and outperform traditional neural networks on complicated ***,spike neural networks are usually used on a large scale,and they cannot be computed on commercial,off-the-shelf computers.A parallel architecture is proposed and developed for discrete-event simulations of spike neural ***,mechanisms for both parallelism degree estimation and dynamic load balance are emphasized with theoretical and computational *** results show the effectiveness of the proposed parallelized spike neural network system and its corresponding support components.

关键词： spike neural network discrete event simulation intelligent parallelization framework

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Multi-core based parallel computing technique for content-based image retrieval

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Journal of Shanghai University(English Edition) 2010年第1期14卷 55-59页

作者：陈文浩方昱春姚继锋张武 School of Computer Engineering and Science Shanghai University Shanghai Supercomputer Center High Performance Computing Center Shanghai University

In this paper, we propose a parallel computing technique for content-based image retrieval （CBIR） system. This technique is mainly used for single node with multi-core processor, which is different from those based on cluster or network computing architecture. Due to its specific applications （such as medical image processing） and the harsh terms of hardware resource requirement, the CBIR system has been prevented from being widely used. With the increasing volume of the image database, the widespread use of multi-core processors, and the requirement of the retrieval accuracy and speed, we need to achieve a retrieval strategy which is based on multi-core processor to make the retrieval faster and more convenient than before. Experimental results demonstrate that this parallel architecture can significantly improve the performance of retrieval system. In addition, we also propose an efficient parallel technique with the combinations of the cluster and the multi-core techniques, which is supposed to gear to the new trend of the cloud computing.

关键词： content-based image retrieval （CBIR） parallel computing shared-memory feature extraction similarity comparison

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MedBLIP: A Multimodal Method of Medical Question-Answering Based on Fine-Tuning Large Language Model

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computerized Medical Imaging and Graphics 2025年

作者： Lejun Gong Jiaming Yang Shengyuan Han Yimu Ji Jiangsu Key Lab of Big Data Security & Intelligent Processing School of computer science Nanjing University of Posts and Telecommunications Nanjing210023 China Institute of High Performance Computing and Bigdata Nanjing University of Posts and Telecommunications Nanjing 210023 China

Medical visual question answering is crucial for effectively interpreting medical images containing clinically relevant information. This study proposes a method called MedBLIP (Medical Treatment Bootstrapping Language-Image Pretraining) to tackle visual language generation tasks related to chest X-rays in the medical field. The method combine an image encoder with a large-scale language model, and effectively generates medical question-answering text through a strategy of freezing the image encoder based on the BLIP-2 model. Firstly, chest X-ray images are preprocessed, and an image sample generation algorithm is used to enhance the text data of doctor-patient question-answering, thereby increasing data diversity. Then, a multi-layer convolutional image feature extractor is introduced to better capture the feature representation of medical images. During the fine-tuning process of the large language generation model, a new unfreezing strategy is proposed, which is to unfreeze different proportions of the weights of the fully connected layer to adapt to the data in the medical field. The image feature extractor is responsible for extracting key features from images, providing the model with rich visual information, while the text feature extractor accurately captures the essential requirements of the user's question. Through their synergistic interaction, the model can more effectively integrate medical images and user inquiries, thereby generating more accurate and relevant output content. The experimental results show that unfreezing 31.25% of the weights of the fully connected layer can significantly improve the performance of the model, with ROUGE-L reaching 66.12%, and providing a more accurate and efficient answer generation solution for the medical field. The method of this study has potential applications in the field of medical language generation tasks. Although the proposed model cannot yet fully replace human radiologists, it plays an indispensable role

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An algorithm design and implementation of Connect6

An algorithm design and implementation of Connect6

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2012 International Conference on Electrical Insulating Materials and Electrical engineering, EIMEE 2012

作者： Shi, Weiyi Shen, Yunfu School of Computer Engineering and Science China High Performance Computing Center Shanghai University Shanghai 200072 China

ISBN: (纸本)9783037854518

The new Connect6 game was launched and received the widespread attention in recent years. For the problems existing in pattern judgment way and in 6-8 windows in some literatures, the algorithm of Connect6 is studied by considering the attack and defensive characteristics of the Connect6. By the new 6-8 window approach proposed here, the evaluation function which determines the evaluation value is designed and implemented by calculating the changing quantity of the assessed values of the chessboard before and after the falling a stone. Based on this, an optimal Connect6 program is designed and implemented based on the PVS algorithm and the transposition table optimization, history heuristic optimization, null-move pruning optimization as well as iterative deepening optimization. The pruning rate of nodes in game tree comes to more than 98%. The actual playing of the chess indicates that the program has the strong chess strength. © (2012) Trans Tech Publications, Switzerland.

关键词： Optimization

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