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2011 32nd IEEE Real-Time Systems Symposium, RTSS 2011

作者： Li, Junkun Chen, Jiming He, Shibo He, Tian Gu, Yu Sun, Youxian State Key Lab. of Industrial Control Technology Zhejiang University China Computer Science and Engineering University of Minnesota United States Pillar of Information System Technology and Design Singapore University of Technology and Design Singapore Singapore

ISBN: (纸本)9780769545912

In wireless sensor networks (WSNs), trap coverage has recently been proposed to tradeoff between the availability of sensor nodes and sensing performance. It offers an efficient framework to tackle the challenge of limited resources in large scale sensor networks. Currently, existing works only studied the theoretical foundation of how to decide the deployment density of sensors to ensure the desired degree of trap coverage. However, the practical issues such as how to efficiently schedule sensor node to guarantee trap coverage under an arbitrary deployment is still left untouched. In this paper, we formally formulate the Minimum Weight Trap Cover Problem and prove it is an NP-hard problem. To solve the problem, we introduce a bounded approximation algorithm, called Trap Cover Optimization (TCO) to schedule the activation of sensors while satisfying specified trap coverage requirement. The performance of MinimumWeight Trap Coverage we find is proved to be at most O(ρ) times of the optimal solution, where ρ is the density of sensor nodes in the region. To evaluate our design, we perform extensive simulations to demonstrate the effectiveness of our proposed algorithm and show that our algorithm achieves at least 14% better energy efficiency than the state-of-the-art solution. © 2011 IEEE.

关键词： Sensor nodes

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CRISTAL: A Collaborative Home Media and Device Controller Based on a Multi-touch Display 09

CRISTAL: A Collaborative Home Media and Device Controller Ba...

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4th ACM International Conference on Interactive Tabletops and Surfaces, ITS 2009

作者： Seifried, Thomas Haller, Michael Scott, Stacey D. Perteneder, Florian Rendl, Christian Sakamoto, Daisuke Inami, Masahiko Media Interaction Lab Upper Austria University of Applied Sciences Austria Department of Systems Design Engineering University of Waterloo Canada Department of Computer Science University of Tokyo Japan School of Media Design Keio University Japan

ISBN: (纸本)9781605587332

While most homes are inherently social places, existing devices designed to control consumer electronics typically only support single user interaction. Further, as the number of consumer electronics in modern homes increases, people are often forced to switch between many controllers to interact with these devices. To simplify interaction with these devices and to enable more collaborative forms of device control, we propose an integrated remote control system, called CRISTAL (Control of Remotely Interfaced Systems using Touch-based Actions in Living spaces). CRISTAL enables people to control a wide variety of digital devices from a centralized, interactive tabletop system that provides an intuitive, gesture-based interface that enables multiple users to control home media devices through a virtually augmented video image of the surrounding environment. A preliminary user study of the CRISTAL system is presented, along with a discussion of future research directions. © 2009 ACM.

关键词： Digital devices

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Optimal rectangle packing

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Annals of Operations Research 2010年第1期179卷 261-295页

作者： Korf, Richard E. Moffitt, Michael D. Pollack, Martha E. Computer Science Department University of California Los Angeles CA 90095 United States Design Productivity Group IBM Austin Research Lab Austin TX 78758 United States Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 United States

We consider the NP-complete problem of finding an enclosing rectangle of minimum area that will contain a given a set of rectangles. We present two different constraint-satisfaction formulations of this problem. The first searches a space of absolute placements of rectangles in the enclosing rectangle, while the other searches a space of relative placements between pairs of rectangles. Both approaches dramatically outperform previous approaches to optimal rectangle packing. For problems where the rectangle dimensions have low precision, such as small integers, absolute placement is generally more efficient, whereas for rectangles with high-precision dimensions, relative placement will be more effective. In two sets of experiments, we find both the smallest rectangles and squares that can contain the set of squares of size 1 × 1, 2 × 2, ..., N × N, for N up to 27. In addition, we solve an open problem dating to 1966, concerning packing the set of consecutive squares up to 24×24 in a square of size 70×70. Finally, we find the smallest enclosing rectangles that can contain a set of unoriented rectangles of size 1 × 2, 2 × 3, 3 × 4, ..., N × (N+1), for N up to 25. © 2008 Springer science+Business Media, LLC.

关键词： Constraint satisfaction Rectangle packing Search

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Thermal aware test scheduling for stacked multi-chip-modules

Thermal aware test scheduling for stacked multi-chip-modules

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East-West design and Test Symposium

作者： Vinay, N.S. Rawaty, Indira Larssonz, Erik Gaurx, M.S. Singh, Virendra Cisco Systems Bangalore India Electrical Enggineering Dept. Engineering College Ajmer India Dept. of Computer Science Linkoping University Linkoping Sweden Computer Engineering Dept. Malaviya National Institute of Technology Jaipur India Computer Design and Test Lab. Indian Institute of Science Bangalore India

ISBN: (纸本)9781424495566

In an attempt to increase the area utilization of multi-chip packages, manufacturers have started looking at 3D packaging. The 3D structures have either dies or chips stacked one above the other. These 3D structures have low thermal capabilities, and hence the thermal issues get aggravated during testing. In this paper, thermal aware test scheduling techniques for stacked structures is proposed. Care is taken to schedule the stacked partitions appropriately to prevent local heating and achieve uniform vertical temperature spread. Concurrent testing of dies is considered for reduced test time and existing test architecture is employed. The widely used global peak power model gives a pessimistic estimate of the power profile. A new partition scheme is proposed for the power profile based on power variations and true power. This scheme of power profile partitioning which is a trade-off between a cycle accurate model and global peak model offers both flexibility during scheduling and also reduces total false power. The power profile partitions are scheduled through algorithms based on heuristics. System model of the 3D stack is obtained from the linear RC-models after considering the various factors that affect the heat flow and die temperatures. Simulation results show that the proposed technique achieves uniform temperature spread across the 3D structure. © 2010 IEEE.

关键词： Economic and social effects

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A Work Domain Analysis for Network Management

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Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2000年第4期44卷 469 - 472页

作者： Catherine M. Burns Ed Barsalou Cynthia Handler Johnson Kuo Kevin Harrigan Advanced Interface Design Lab Department of Systems Design Engineering University of Waterloo Department of Computer Science University of Waterloo

computer networks are pervasive and critical to the operation of today's businesses. While most of us take computer networks for granted, network managers who must configure, operate, and fix faults in computer networks face a daunting task that becomes more complex everyday. Ecological interface design has been shown to be a promising approach for complex systems such as power plants or petrochemical systems. computer networks are a very different work domain characterized by rapid technological change, extreme decentralization, and the existence of “soft” components. This paper presents the first work domain analysis of this new domain creating an abstraction hierarchy for general signal transfer systems and general computing networks. It shows how the abstraction hierarchy can be applied to this new domain and presents the initial work on an ecological interface design for network management.

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DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems 41

DPN: Decoupling Partition and Navigation for Neural Solvers ...

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41st International Conference on Machine Learning, ICML 2024

作者： Zheng, Zhi Yao, Shunyu Wang, Zhenkun Tong, Xialiang Yuan, Mingxuan Tang, Ke Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Department of Computer Science City University of Hong Kong Hong Kong School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China China Huawei Noah's Ark Lab Shenzhen China

The min-max vehicle routing problem (min-max VRP) traverses all given customers by assigning several routes and aims to minimize the length of the longest ***, reinforcement learning (RL)-based sequential planning methods have exhibited advantages in solving efficiency and ***, these methods fail to exploit the problem-specific properties in learning representations, resulting in less effective features for decoding optimal *** paper considers the sequential planning process of min-max VRPs as two coupled optimization tasks: customer partition for different routes and customer navigation in each route (i.e., partition and navigation).To effectively process min-max VRP instances, we present a novel attention-based Partition-and-Navigation encoder (P&N Encoder) that learns distinct embeddings for partition and ***, we utilize an inherent symmetry in decoding routes and develop an effective agent-permutation-symmetric (APS) loss *** results demonstrate that the proposed Decoupling-Partition-Navigation (DPN) method significantly surpasses existing learning-based methods in both single-depot and multi-depot minmax *** code is available at. Copyright 2024 by the author(s)

关键词： Sales

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Explore the Future Earth with Wander 2.0: AI Chatbot Driven By Knowledge-base Story Generation and Text-to-image Model

Explore the Future Earth with Wander 2.0: AI Chatbot Driven ...

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Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI EA 2023

作者： Sun, Yuqian Xu, Ying Cheng, Chenhang Li, Yihua Lee, Chang Hee Asadipour, Ali Computer Science Research Centre Royal College of Art London United Kingdom Department of Industrial Design School of Art and Design Wuhan University of Technology Wuhan China Shanghai China Department of Product Design College of Fashion and Design Donghua University Shanghai China Affective Systems and Cognition Lab Industrial Design Department College of Engineering Korea Advanced Institute of Science and Technology Daejeon Korea Republic of

ISBN: (纸本)9781450394222

People always envision the future of earth through science fiction (Sci-fi), so can we create a unique experience of "visiting the future earth"through the lens of artificial intelligence (AI)? We introduce Wander 2.0, an AI chatbot that co-creates sci-fi stories through knowledge-based story generation on daily communication platforms like WeChat and Discord. Using location information from Google Maps, Wander generates narrative travelogues about specific locations (e.g. Paris) through a large-scale language model (LLM). Additionally, using the large-scale text-to-image model (LTGM) Stable Diffusion, Wander transfers future scenes that match both the text description and location photo, facilitating future imagination. The project also includes a real-time visualization of the human-AI collaborations on a future map. Through journeys with visitors from all over the world, Wander demonstrates how AI can serve as a subjective interface linking fiction and reality. Our research shows that multi-modal AI systems have the potential to extend the artistic experience and creative world-building through adaptive and unique content generation for different people. Wander 2.0 is available at http://***/ © 2023 Owner/Author.

关键词： Knowledge based systems

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Visual-Language Collaborative Representation Network for Broad-Domain Few-Shot Image Classification 24

Visual-Language Collaborative Representation Network for Bro...

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32nd ACM International Conference on Multimedia, MM 2024

作者： Guo, Qianyu Ren, Jieji Wang, Haofen Wu, Tianxing Ge, Weifeng Zhang, Wenqiang Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University Shanghai China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China College of Design and Innovation Tongji University Shanghai China School of Computer Science and Engineering Southeast University Nanjing China School of Computer Science Fudan University Shanghai China Engineering Research Center of AI & Robotics Ministry of Education Academy for Engineering & Technology Fudan University Shanghai China

ISBN: (纸本)9798400706868

Visual-language models based on CLIP have shown remarkable abilities in general few-shot image classification. However, their performance drops in specialized fields such as healthcare or agriculture, because CLIP's pre-training does not cover all category data. Existing methods excessively depend on the multi-modal information representation and alignment capabilities acquired from CLIP pre-training, which hinders accurate generalization to unfamiliar domains. To address this issue, this paper introduces a novel visual-language collaborative representation network (MCRNet), aiming at acquiring a generalized capability for collaborative fusion and representation of multi-modal information. Specifically, MCRNet learns to generate relational matrices from an information fusion perspective to acquire aligned multi-modal features. This relationship generation strategy is category-agnostic, so it can be generalized to new domains. A class-adaptive fine-tuning inference technique is also introduced to help MCRNet efficiently learn alignment knowledge for new categories using limited data. Additionally, the paper establishes a new broad-domain few-shot image classification benchmark containing seven evaluation datasets from five domains. Comparative experiments demonstrate that MCRNet outperforms current state-of-the-art models, achieving an average improvement of 13.06% and 13.73% in the 1-shot and 5-shot settings, highlighting the superior performance and applicability of MCRNet across various domains. © 2024 ACM.

关键词： Visual languages

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A trust evaluation fluctuation model in the e-commerce

A trust evaluation fluctuation model in the e-commerce

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第27届中国控制与决策会议

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

ISBN: (纸本)9781479970186

E-commerce is becoming the main shopping *** trust decision-making is the most important factor which decides whether the transaction is successful or *** to offer people an accurate and objective trust is a basic issue that scholars must face and *** can measure the stability of a set of data and help us avoid risk to some *** 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 *** results of simulation experiments prove the practicality and validity of the model.

关键词： decision-making trust volatility fraud and deception

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Data Quality Assessment of Substation Data in Bangladesh: Insights from Handwritten Data Digitization 10

Data Quality Assessment of Substation Data in Bangladesh: In...

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10th IEEE International Conference on Power Systems, ICPS 2023

作者： Al Amin, Murshed Jawad-Al-Mursalin Hoque, M.D. Nazzum, Zakia Sayed, Md Abu Tanveer Ahmed Rumee, Sarker Zaber, Moinul Islam Military Institute of Science and Technology Bangladesh Independent University Bangladesh Data and Design Lab Dhaka1000 Bangladesh University of Dhaka Department of Computer Science & Engineering Dhaka1000 Bangladesh United Nations University Guimarães Portugal

ISBN: (纸本)9798350318739

The assessment of power quality is vital for evaluating the existing state of the electricity supply, pinpointing its deficiencies, and guiding enhancements to guarantee a stable and consistent power supply, particularly in the face of rising demands from both industrial and residential sectors. In the context of Bangladesh, however, most substation data are still recorded manually, despite ongoing digitization efforts. This paper focuses on the quality of digitized transcription of handwritten substation data to determine its suitability for further analytical use. Our analysis revealed that the paper-based data from the substations exhibited significant gaps, undermining its reliability and accuracy. Through comprehensive evaluation, we concluded that the data, in its current state, is inadequate for in-depth analysis without the application of robust imputation methods. By tackling these challenges, our research aims to contribute to more informed decision-making and the efficient management of Bangladesh's electrical infrastructure. This study not only diagnoses the current shortcomings in data quality but also lays the groundwork for future improvements in the country's approach to energy data management. © 2023 IEEE.

关键词： Power quality

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