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LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication 38

LibAMM: Empirical Insights into Approximate Computing for Ac...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Zeng, Xianzhi Jiang, Wenchao Zhang, Shuhao National Engineering Research Center for Big DataTechnology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Nanyang Technological University Singapore Singapore University of Technology and Design Singapore

Matrix multiplication (MM) is pivotal in fields from deep learning to scientific computing, driving the quest for improved computational efficiency. Accelerating MM encompasses strategies like complexity reduction, parallel and distributed computing, hardware acceleration, and approximate computing techniques, namely AMM algorithms. Amidst growing concerns over the resource demands of large language models (LLMs), AMM has garnered renewed focus. However, understanding the nuances that govern AMM's effectiveness remains incomplete. This study delves into AMM by examining algorithmic strategies, operational specifics, dataset characteristics, and their application in real-world tasks. Through comprehensive testing across diverse datasets and scenarios, we analyze how these factors affect AMM's performance, uncovering that the selection of AMM approaches significantly influences the balance between efficiency and accuracy, with factors like memory access playing a pivotal role. Additionally, dataset attributes are shown to be vital for the success of AMM in applications. Our results advocate for tailored algorithmic approaches and careful strategy selection to enhance AMM's effectiveness. To aid in the practical application and ongoing research of AMM, we introduce LibAMM -a toolkit offering a wide range of AMM algorithms, benchmarks, and tools for experiment management. LibAMM aims to facilitate research and application in AMM, guiding future developments towards more adaptive and context-aware computational solutions. © 2024 Neural information processing systems foundation. All rights reserved.

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A trust evaluation fluctuation model in the e-commerce 27

A trust evaluation fluctuation model in the e-commerce

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27th Chinese Control and Decision Conference, CCDC 2015

作者： Jing, Zhang Yu, Shengjun Fan, Hongbo Hui, Rong Computer Technology Application Key Lab of Yunnan Province Kunming University of Science and Technology Kunming China Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China Faculty of Art and Design Kunming Metallurgy College Kunming Yunnan China

ISBN: (纸本)9781479970179

E-commerce is becoming the main shopping way. The trust decision-making is the most important factor which decides whether the transaction is successful or not. How to offer people an accurate and objective trust is a basic issue that scholars must face and solve. Volatility can measure the stability of a set of data and help us avoid risk to some extent. In order to prevent fraud and deception, this paper proposes a trust evaluation fluctuation model based on historical rating data. A new reward and punishment mechanism is added into the model. The results of simulation experiments prove the practicality and validity of the model. © 2015 IEEE.

关键词： decision-making fraud and deception trust volatility

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DCET-Net: Dual-Stream Convolution Expanded Transformer for Breast Cancer Histopathological Image Classification

DCET-Net: Dual-Stream Convolution Expanded Transformer for B...

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2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021

作者： Zou, Ying Chen, Shannan Sun, Qiule Liu, Bin Zhang, Jianxin Dalian University Key Lab of Advanced Design and Intelligent Computing Ministry of Education Dalian China Dalian University of Technology School of Information and Communication Engineering Dalian China Dalian China Dalian Minzu University School of Computer Science and Engineering Dalian China

ISBN: (纸本)9781665401265

Researches on breast cancer histopathological image classification have achieved a great breakthrough using deep backbones of Convolutional Neural Networks (CNNs) in recent years. However, due to the inductive bias of locality, CNNs are unable to effectively extract the global feature information of breast cancer histopathological images, limiting the improvement of the classification results. To overcome this shortcoming, this paper reasonably introduces an extra backbone stream of a pure transformer, which consists of a self-attention mechanism to capture global receptive fields of histopathological images, thereby compensating the locality characteristic of CNNs backbone. Based on two backbone streams of CNN and transformer, a dual-stream network called DCET-Net is proposed, which considers local features and global ones simultaneously, and progressively combines them from these two streams to form the final representations for classification. DCET-Net is extensively evaluated on the representative BreakHis histopathological image dataset, and experimental results demonstrate that it is highly competitive with the state-of-the-art CNN methods in breast cancer histopathological image classification task. © 2021 IEEE.

关键词： Convolutional neural networks

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Agent-based and discrete-event modeling: A quantitative comparison

Agent-based and discrete-event modeling: A quantitative comp...

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7th AIAA Aviation Technology, Integration, and Operations Conference

作者： Yu, Tai-Tuck Scanlan, J.P. Wills, G.B. University of Southampton Southampton Hampshire SO17 1BJ United Kingdom Computational Engineering and Design Group School of Engineering Sciences University of Southampton University Road Department of Design School of Engineering Sciences University of Southampton University Road Learning Societies Lab. School of Electronics and Computer Science University of Southampton University Road

ISBN: (纸本)1563479087

Although agent-based modeling is widely regarded as a concept well-suited to the simulation of logistics systems, there has not been any quantitative comparison with discreteevent modeling or other more established concepts. As a timely check on the rising popularity of this paradigm for modeling complex systems, this paper describes a study comparing an agent-based model with a traditional discrete-event model, each of which has been implemented to a common specification. The model scenario is based on an existing application - the global repair operation of a fleet of civil aircraft high-bypass turbofan engines. Initial results, including metrics for runtime, and software size, structure, and complexity highlight the basic similarities and differences between the models. Future estimation of model maintainability will further quantify their benefits and drawbacks. It is hoped that characterizing the paradigms more fully will enable a modeler to match various parts of a model more appropriately to its problem domain.

关键词： Intelligent agents

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User-Centric Crowdsourcing Approach to Improve Urban Accessibility Data Collection

User-Centric Crowdsourcing Approach to Improve Urban Accessi...

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2024 IEEE MIT Undergraduate Research Technology Conference, URTC 2024

作者： Ortiz, Tyler Tang, Vicky Sutton, Karla The City College of New York Cuny New York Grove School of Engineering Computer Science New York United States School of Constructed Environments Parsons School of Design New York New York United States Lab School for Collaborative Studies New York Department of Computer Science New York United States

ISBN: (纸本)9798331531003

While crowdsourcing is an effective method for collecting large-scale datasets, it often faces challenges related to data quality and quantity. This study employs crowdsourcing to collect comprehensive urban accessibility data, focusing on storefront accessibility information in a large city. This task presents significant challenges in terms of data completeness and quality. To address these issues, we propose a user-centric, request-driven crowdsourcing approach that gathers accessibility data based on requests from individuals who are blind or have low vision (BLV). This approach strengthens the user-volunteer feedback loop, increasing volunteer engagement and enhancing user experience. It allows BLV individuals to effectively utilize the collected storefront accessibility data for independent travel. A preliminary user study confirms the effectiveness of the proposed approach. © 2024 IEEE.

关键词： Crowdsourcing

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A Study of Two Types of Introductory Exercise Problems for Network Programming Learning with Python 23

A Study of Two Types of Introductory Exercise Problems for N...

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11th International Conference on computer and Communications Management, ICCCM 2023

作者： Lu, Xiqin Funabiki, Nobuo Ueda, Kiyoshi Kao, Wen-Chung Department of Information and Communication Systems Distributed System Design Lab. Okayama University Okayama Japan Department of Computer Science Control Software Lab. Nihon University Koriyama Japan Department of Electrical Engineering National Taiwan Normal University Taipei Taiwan

ISBN: (纸本)9798400707735

Network programming is the act of writing computer codes for communications between programs or processes in different computers across networks. It is crucial for applications and services using networks, including e-commerce, gaming, and social media. However, university courses of educating it are very limited. As a result, it has become important to develop and offer IT tools to support self-studies of network programming by novices. In this paper, we present a study of two types of introductory exercise problems, namely, Grammar-concept Understanding Problem (GUP) and Comment Insertion Problem (CIP), for self-studies of five basic network protocols of TCP/IP, ARP, SMTP, POP3, and SSH with Python. A GUP instance requests to answer the keyword such as a library function in the given source code that corresponds to the grammar concept described in the question. A CIP instance requests to insert the comment at each blank of the code. String matching is adopted to mark any answer at the browser-based answer interface. Through solving them, it is expected to understand the meaning of important words and the code structure for network programming. As preliminary evaluations, we generated six GUP and CIP instances respectively, and assigned them to 10 students in Okayama University, Japan. The results confirmed that the proposal is proper for novices to learn network programming with Python. © 2023 ACM.

关键词： Python

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Advances in tangible interaction and ubiquitous virtual reality

Advances in tangible interaction and ubiquitous virtual real...

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作者： Hong, Dongpyo Höllerer, Tobias Haller, Michael Takemura, Haruo Cheok, Adrian David Kim, Gerard Jounghyun Billinghurst, Mark Woo, Woontack Hornecker, Eva Jacob, Robert J.K. Hummels, Caroline Ullmer, Brygg Schmidt, Albrecht Van Den Hoven, Elise Mazalek, Ali Gwangju Institute of Science and Technology Department of Computer Science University of California Santa Barbara Upper Austria University of Applied Sciences Department of Digital Media Infomedia Education Division Osaka University Cybermedia Center National University of Singapore Mixed Reality Lab. Keio University Department of Computer Science and Engineering Korea University Gwangju Institute of Science and Technology Open University Pervasive Interaction Lab. Department of Computer Science Tufts University Eindhoven University of Technology Department of Industrial Design Department of Computer Science Louisiana State University University of Duisburg Pervasive Computing and User Interface Engineering Group Essen Digital Media Program Georgia Institute of Technology

The first article reports on context-sensitive augmented-reality research presented at the 2007 International Symposium on Ubiquitous Virtual Reality. This student-organized event explored the use of contextual information, design principles, and effective user evaluation for developing AR applications for ubiquitous computing environments. The second article reports on The International Conference on Tangible and Embedded Interaction, the first conference series worldwide to focus on tangible and embedded interaction. The conference is interdisciplinary, covering the arts, hardware design, software toolkits for prototyping, and user studies and theory development. © 2006 IEEE.

关键词： Virtual reality

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Exploring Visuo-Haptic augmented reality user interfaces for Stereo-tactic neurosurgery planning 7th

Exploring Visuo-Haptic augmented reality user interfaces for...

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7th International Conference on Medical Imaging and Augmented Reality, MIAR 2016

作者： Eck, Ulrich Stefan, Philipp Laga, Hamid Sandor, Christian Fallavollita, Pascal Navab, Nassir Computer Aided Medical Procedures Technische Universität München Munich Germany School of Engineering and Information Technology Murdoch University Perth Australia Nara Institute of Science and Technology Interactive Media Design Lab Ikoma Japan

ISBN: (纸本)9783319437743

Stereo-tactic neurosurgery planning is a time-consuming and complex task that requires detailed understanding of the patient anatomy and the affected regions in the brain to precisely deliver the treatment and to avoid proximity to any known risk structures. Traditional user interfaces for neurosurgery planning use keyboard and mouse for interaction and visualize the medical data on a screen. Previous research, however, has shown that 3D user interfaces are more intuitive for navigating volumetric data and enable users to understand spatial relations more quickly. Furthermore, new imaging modalities and automated segmentation of relevant structures provide important information to medical experts. However, displaying such information requires frequent context switches or occludes otherwise important information. In collaboration with medical experts, we analyzed the planning workflow for stereo-tactic neurosurgery interventions and identified two tasks in the process that can be improved: volume exploration and trajectory refinement. In this paper, we present a novel 3D user interface for neurosurgery planning that is implemented using a head-mounted display and a haptic device. The proposed system improves volume exploration with bi-manual interaction to control oblique slicing of volumetric data and reduces visual clutter with the help of haptic guides that enable users to precisely target regions of interest and to avoid proximity to known risk structures. © Springer International Publishing Switzerland 2016.

关键词： Augmented reality

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Analog field programmable CMOS current conveyor

Analog field programmable CMOS current conveyor

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2012 Students Conference on engineering and Systems, SCES 2012

作者： Kapur, G. Mittal, S. Markan, C.M. Pyara, V.P. VLSI Design Technology Lab Dayalbagh Educational Institute Dayalbagh Agra India Department of Physics and Computer Science Dayalbagh Educational Institute Dayalbagh Agra India Department of Electrical Engineering Dayalbagh Educational Institute Dayalbagh Agra India

ISBN: (纸本)9781467304559

We propose a simplified analog design cycle to generate reconfigurable and accurate prototype of several analog ICs. On applying the design cycle a comprehensive design methodology is being developed that make designs customizable and adaptable by a field user. The basic design of a second generation current controlled current conveyor is first analyzed to estimate the basic circuit configuration to verify its basic functionality. Secondly using its small signal equivalent model, ac and dc characteristics are being derived in terms of threshold voltage of transistors, present in the circuit. Indeed, with the help of floating gate transistors, which has a feature of post fabrication programmability of its threshold voltage, an accurate and reconfigurable prototype of the design can be obtained. The circuit is simulated using BSIM3 level49 MOSFET models in T-Spice 0.35m CMOS process. Various Characteristics of CCCII are being derived and estimated their sensitivity with respect to threshold voltage of respective floating-gate transistors. The simulated results demonstrate that by programming threshold voltages, fine tuning of circuit specifications with wide spectrum can be achieved. The designs fabricated using our methodology can be adaptive to any desired value of specification with very high precision (about 13bit programming precision can attain with floating gate transistor). It can also make Analog ICs immune to most drawbacks like processes variations, device degradation by introducing new possibilities such as self correction and adaptability. © 2012 IEEE.

关键词： Threshold voltage

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Empa talk: A physiological data incorporated human-computer interactions

Empa talk: A physiological data incorporated human-computer ...

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32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014

作者： Lee, Myungho Kim, Kangsoo Roh, Hyunghwan Kim, Si Jung Jun Dept. of Electrical Engineering and Computer Science University of Central Florida United States Dept. of Industrial Engineering University of Central Florida United States HCI Lab. Digital Media School of Visual Arts and Design University of Central Florida United States

ISBN: (纸本)9781450324748

We present a novel approach that allows the user to feel the other's emotional status while communicating with each other in a video chat. The video chat is composed of physiological sensors and multimodal displays. In our first prototype, we employed a Galvanic Skin Response (GSR) sensor and a Blood Volume Pulse (BVP) sensor as they were crucial indications to human emotions. A vibrotactile motor and a RGB LED were also used in order to convey and display the other's emotion on one's wrist. Along with the hardware part, we implemented intuitive software for processing, transmitting, and displaying bio feedback data.

关键词： Electrophysiology

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