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12th Asian Test Symposium, ATS 2003

作者： Jayabalan, J. Goh, Chee Kiang Leong, Ooi Ban Seng, Leong Mook Iyer, M.K. Tay, A.A.O. Nano Wafer Level Packaging Programme Dept. of Electrical and Computer Engg. National University of Singapore Singapore Singapore Development Center Infineon Technologies 168 Kallang Way Singapore Singapore Institute of Microelectronics 11 Science Park Road Singapore Singapore

ISBN: (纸本)0769519512

A PLL based at-speed functional testing concept, which eliminates the need for a tester-driven high-speed clock interface is presented. Jitter tolerance circuits have been implemented to provide immunity, to clock jitter. The concept was verified on a 100 mm2 silicon device built in 0.18 μm technology, above 200 MHz speed. Simulation results show that the concept can be extended to higher speeds. © 2003 IEEE.

关键词： Phase locked loops

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Granger causality for compressively sensed sparse signals

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Physical Review E 2023年第3期107卷 034308-034308页

作者： Aditi Kathpalia Nithin Nagaraj Department of Complex Systems Institute of Computer Science of the Czech Academy of Sciences Prague 18200 Czech Republic Consciousness Studies Programme National Institute of Advanced Studies Bengaluru 560012 India

Compressed sensing is a scheme that allows for sparse signals to be acquired, transmitted, and stored using far fewer measurements than done by conventional means employing the Nyquist sampling theorem. Since many naturally occurring signals are sparse (in some domain), compressed sensing has rapidly seen popularity in a number of applied physics and engineering applications, particularly in designing signal and image acquisition strategies, e.g., magnetic resonance imaging, quantum state tomography, scanning tunneling microscopy, and analog to digital conversion technologies. Contemporaneously, causal inference has become an important tool for the analysis and understanding of processes and their interactions in many disciplines of science, especially those dealing with complex systems. Direct causal analysis for compressively sensed data is required to avoid the task of reconstructing the compressed data. Also, for some sparse signals, such as for sparse temporal data, it may be difficult to discover causal relations directly using available data-driven or model-free causality estimation techniques. In this work, we provide a mathematical proof that structured compressed sensing matrices, specifically circulant and Toeplitz, preserve causal relationships in the compressed signal domain, as measured by Granger causality (GC). We then verify this theorem on a number of bivariate and multivariate coupled sparse signal simulations which are compressed using these matrices. We also demonstrate a real world application of network causal connectivity estimation from sparse neural spike train recordings from rat prefrontal cortex. In addition to demonstrating the effectiveness of structured matrices for GC estimation from sparse signals, we also show a computational time advantage of the proposed strategy for causal inference from compressed signals of both sparse and regular autoregressive processes as compared to standard GC estimation from original signals.

关键词： Dynamics of networks Neuronal dynamics Directed networks Time series analysis

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Cloud Telescope: A distributed architecture for capturing Internet Background Radiation

Cloud Telescope: A distributed architecture for capturing In...

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IEEE International Conference on Cloud Networking (CLOUDNET)

作者： Fabricio Bortoluzzi Barry Irwin Lucas Silvero Beiler Carla Merkle Westphall Cyber Security Programme Noroff University College Kristiansand Norway Postgraduate Programme in Computer Science University of Santa Catarina Florianópolis Brazil Department of Computer Science Rhodes University Grahamstown South Africa Laboratory of Embedded & Distributed Systems University of Vale do Itajai Itajai Brazil

Internet Background Radiation (IBR) comprises a range of unsolicited traffic directed towards Internet hosts. In general, this type of traffic is characterised by high levels of port scanning activity, malware propagation, application exploits, system misconfiguration and denial-of-service attacks. IBR capture is typically undertaken by a system termed a network telescope. This records unfiltered incoming internet traffic for a specific CIDR block in the form of a packet capture (PCAP) file for analysis. This work proposes a novel, cloud-native approach to capturing IBR by the deployment of an ephemeral and reproducible architecture, described as code, distributed across all regions of a cloud service provider. In this paper we discuss the technical and financial viability of using a fleet of small-sized compute instances, in a spot price auction model, to maximise platform collection, capillarity and duration. We also present an overview analysis of the primary characteristics of IBR as collected during a month long proof-of-concept experiment across 26 regions of a cloud service provider in May 2023. Our analysis discusses the aspects of the dataset in quantitative terms: traffic aggregation per protocol, top TCP and UDP ports, top radiation sources and radiation distribution per cloud region. We also provide an overview of the most relevant threats detected. Our results include a formalisation and validation of the cloud telescope, with the corresponding supporting architecture described in Terraform and Ansible. The aggregate dataset amounted to 2.2 GB, and 21.8 million packets. Composition by protocol was 78% TCP, 14% ICMP and 8% UDP.

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Bayesian-based Absolute Positions Estimation for the Nearby Vehicles through Vehicle-to-Vehicle Communications

Bayesian-based Absolute Positions Estimation for the Nearby ...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Xiangting Hou Linbo Luo Wentong Cai Interdisciplinary Graduate Programme and School of Computer Science and Engineering Nanyang Technological University Singapore School of Cyber Engineering Xidian University China School of Computer Science and Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781665442084

The development of vehicle-to-vehicle (V2V) communication techniques have proliferated collaborative vehicle localization (CVL) approaches to estimate the absolute positions of the nearby vehicles. In general, the information of the nearby vehicles in terms of geometry information and historical states are utilized to increase localization accuracy. However, the geometry information can be unknown and the historical states of the nearby vehicles cannot be obtained under certain circumstances. In this paper, a Bayesian-based localization approach, named as BayesNVL is proposed to estimate the absolute positions of the nearby vehicles from an ego vehicle through incorporating the GPS measurements and measured relative positions. Different from the existing work, our pro-posed approach can be applied to the real driving scenarios without the geometry information of road network and the historical states of the nearby vehicles. We evaluate the proposed approach in terms of localization accuracy and efficiency by using a real dataset containing the trajectories of vehicles. The experimental results show that our proposed approach is able to achieve higher localization accuracy compared with the existing approaches and acceptable localization efficiency.

关键词： Location awareness Geometry Roads Vehicular ad hoc networks Estimation Position measurement Bayes methods

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Traffic Congestion Prevention Using Ant Colony Optimization

Traffic Congestion Prevention Using Ant Colony Optimization

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Renewable Energy & Sustainability (ieCRES), International Engineering Conference on

作者： Aiman AbuSamra Abeer Ashour Mai Ghazal Jehad Aldahdooh Raghad Abuarja Computer Engineering Dept. Islamic University of Gaza Gaza Palestine Doctoral Programme in Computer Science University of Helsinki Helsinki Finland Computer Engineering Islamic University of Gaza Gaza Palestine

Managing traffic congestion is crucial for improving mobility, reducing fuel consumption, and mitigating environmental impacts in urban areas. To address this challenge, we present a novel framework named TCP-ACO for detecting traffic congestion that classifies congestion into three distinct types: expected, unexpected, and real-time. The framework utilizes data from various sources, including databases, Ant colony optimization (ACO) systems, and computer vision techniques, to precisely detect and handle traffic congestion. Expected congestion is identified by analyzing historical traffic data and scheduled events, while unexpected congestion is detected by leveraging real-time data from ACO systems. Real-time congestion is detected by employing computer vision techniques, such as analyzing video footage from cameras or drones. The proposed framework has the potential, by recognizing and managing various types of congestion, to improve traffic flow, shorten travel times, and decrease environmental impacts. Additionally, it also offers a precise and effective solution for traffic congestion detection, which is a crucial aspect of smart city traffic management systems. Our analysis shows that the ACO algorithm adapted in TCP-ACO is more effective in finding the shortest path between two cities (result obtained: 4.014) compared to the result obtained from the shortest path technique compounded with computer vision (which yields a score of 6.224 when the path is free). This indicates the effectiveness of the proposed framework in addressing the challenges of traffic congestion, offering a promising solution for smart city traffic management systems to improve mobility and reduce environmental impacts in urban areas.

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VhCVE: A Collaborative Virtual Environment Including Facial Animation and computer Vision

VhCVE: A Collaborative Virtual Environment Including Facial ...

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Brazilian Symposium on Games and Digital Entertainment (SBGAMES)

作者： Henry Braun Rafael Hocevar Rossana B. Queiroz Marcelo Cohen Juliano Lucas Moreira Julio C. Jacques Júnior Adriana Braun Soraia R. Musse Ramini Samadani Graduate Programme of Computer Science PUCRS Porto Alegre RS Brazil Hewlett Packard Laboratories Palo Alto CA USA

In this paper we present a platform called VhCVE, in which relevant issues related to Collaborative Virtual Environments applications are integrated. The main goal is to provide a framework where participants can interact with others by voice and chat. Also, manipulation tools such as a mouse using computer Vision and Physics are included, as well as rendering techniques (e.g. light sources, shadows and weather effects). In addition, avatar animation in terms of face and body motion are provided. Results indicate that our platform can be used as a interactive virtual world to help communication among people.

关键词： Collaboration Virtual environment Facial animation computer vision Application software Mice Physics Light sources Avatars Face detection

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Integrating Ontologies with Multi-Agent Systems through CArtAgO Artifacts

Integrating Ontologies with Multi-Agent Systems through CArt...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Artur Freitas Alison R. Panisson Lucas Hilgert Felipe Meneguzzi Renata Vieira Rafael H. Bordini Postgraduate Programme in Computer Science Pontifical Catholic University of Rio Grande do Sul (PUCRS) Porto Alegre RS Brazil

Several advantages can be obtained by allowing multi-agent systems to easily access ontologies, for example, in scenarios where agents make their decisions based on the knowledge provided by ontologies. Thus, this paper presents an infrastructure to allow the use of web ontologies in different agent-oriented platforms. The agents use this infrastructure layer as a tool for storing, accessing and querying domain-specific OWL ontologies. As a result, this layer allows an integration of agent platforms with semantic web data and ontologies. We exemplify in practice how agents, coded in one such platform, can use the proposed access layer to ontological reasoning engines, as well as which features can be obtained from it. The performance of this semantic infrastructure is evaluated and compared against usual knowledge representation in agent programming.

关键词： Ontologies OWL Multi-agent systems Cognition Semantics computer architecture

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Using context prediction for elderly health monitoring in pervasive computing environments

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2011年第1期5卷 16-25页

作者： Shou-ming, Ma Ru-chuan, Wang Ning, Ye School of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China Department of Information Science Nanjing College for Population Programme Management Nanjing Jiangsu 210042 China

With the increasing number of the aging populations across the world, we now face the intractable challenge of providing a better healthcare support for the elderly. Pervasive and context-aware applications have been widely recognized as a promising solution for improving the life quality of the elderly and their family members. In this paper, we present our design and implementation of a context-aware middleware infrastructure for elderly health monitoring and alerting through a widespread deployment of wireless sensor networks and mobile computing devices in the smart family environments. In order to enable proactiveness in applications and services, we especially propose a context prediction scheme by set pair analysis (SPA) method. We have developed a primary prototype system for performance evaluation and functional demonstration of the middleware infrastructure in our research laboratory. The results of the prototype system prove that the middleware infrastructure is efficient and the context prediction scheme is comparatively accurate.

关键词： Research laboratories

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An optimal relay scheme for outage minimization in fog-based internet-of-things (IoT) networks

arXiv

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arXiv 2021年

作者： Omoniwa, Babatunji Hussain, Riaz Adil, Muhammad Shakeel, Atif Tahir, Ahmed Kamal Ul Hasan, Qadeer Malik, Shahzad A. The Computer Science Programme National Mathematical Centre Abuja118 Nigeria The Department of Electrical Engineering COMSATS University Islamabad Pakistan

Fog devices are beginning to play a key role in relaying data and services within the Internet-of-Things (IoT) ecosystem. These relays may be static or mobile, with the latter offering a new degree of freedom for performance improvement via careful relay mobility design. Besides that, power conservation has been a prevalent issue in IoT networks with devices being power-constrained, requiring optimal power-control mechanisms. In this paper, we consider a multi-tier fog-based IoT architecture where a mobile/static fog node acts as an amplify and forward relay that transmits received information from a sensor node to a higher hierarchically-placed static fog device, which offers some localized services. The outage probability of the presented scenario was efficiently minimized by jointly optimizing the mobility pattern and the transmit power of the fog relay. A closed-form analytical expression for the outage probability was derived. Furthermore, due to the intractability and non-convexity of the formulated problem, we applied an iterative algorithm based on the steepest descent method to arrive at a desirable objective. Simulations reveal that the outage probability was improved by 62.7% in the optimized-location fixed-power (OLFP) scheme, 79.3% in the optimized-power fixed-location (OPFL) scheme, and 94.2% in the optimized-location optimized-power (OLOP) scheme, as against the fixed-location and fixed-power (FLFP) scheme (i.e., without optimization). Lastly, we present an optimal relay selection strategy that chooses an appropriate relay node from randomly distributed relaying candidates. Copyright © 2021, The Authors. All rights reserved.

关键词： Internet of things

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An electronic nose for amine detection based on polymer/SWNT-COOH nanocomposites

An electronic nose for amine detection based on polymer/SWNT...

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IEEE International Nanoelectronics Conference (INEC)

作者： Panida Lorwongtragool Anurat Wisitsoraat Teerakiat Kerdcharoen Materials Science and Engineering Programme Faculty of Science Mahidol University Bangkok Thailand Nanoelectronic and MEMS Lab National Electronic and Computer Technology Center Pathumthani Thailand

ISBN: (纸本)9781424435432;9781424435449

An electronic nose (e-nose) system based on polymer/carboxylic-functionalized single-walled carbon nanotubes (SWNTs-COOH) was developed for sensing various volatile amines such as dimethylamine, dipropylamine, pyridine, and ammonia solution. The SWNTs-COOH were dispersed in the matrix of different polymers; polyvinyl chloride (PVC), cumene terminated polystyrene-co-maleic anhydride (cumene-PSMA), poly(styrene-co-maleic acid) partial isobutyl/methyl mixed ester (PSE), and polyvinylpyrrolidon (PVP). These composites were dropped on interdigitated gold electrodes to make the gas sensors. The response of these sensors to volatile amines was studied by both static and dynamic flow measurement. By using a simple pattern recognition based on the principle component analysis (PCA), the volatile amines can be discriminated. This e-nose will be useful for monitoring the freshness of foods and farm air quality.

关键词： Electronic noses Polymers Nanocomposites Carbon nanotubes Gold Electrodes Gas detectors Fluid flow measurement Pattern recognition Pattern analysis

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