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Designing Torus and HyperCube Network-on-Chip systems Based on MPLS Networking Technique 3

Designing Torus and HyperCube Network-on-Chip Systems Based ...

3rd IEEE International Maghreb Meeting of the Conference on sciences and Techniques of Automatic Control and computer Engineering, MI-STA 2023

作者： Sllame, Azeddien M. Daddsh, Malak University of Tripoli Faculty of Information Technology Computer Network Department Tripoli Libya

ISBN: (纸本)9798350319897

This paper describes a simulator for two types of network-on-chip designs that employs the MPLS as an essential communication tool for switching and routing at the packet level inside the chip of multiprocessing system on chip implemented as a network-on-chip. Modeling and simulation results demonstrated the when using MPLS with network-on-chip system efficient results obtained with reduced latency, less packet error ratio, and fault tolerance achieved with the nature principle of the MPLS. © 2023 IEEE.

关键词： Network-on-chip

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Multi-resolution next location prediction for distributed virtual environments

Multi-resolution next location prediction for distributed vi...

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International Workshop on Wireless Network Algorithm and Theory

作者： Pribyl, Jaroslav Zemcik, Pavel Department of Computer Graphics and Multimedia Faculty of Information Technology BUT Brno Czech Republic

ISBN: (纸本)9780769543222

Computing performance of today's graphics hardware grows fast as well as amount of rendered data. Modern graphics engines enable a possibility to use an arbitrary number of textures with arbitrary resolutions. On the other hand, high quality distributed 3D virtual environments can't exploit the computation power due to the limited network bandwidth. The problem mainly appears just in case the designers of such environments use high resolution textures. To overcome this streaming bottleneck an efficient prefetching scheme should be proposed. Instead of blind greedy scheduling policy we propose a scheme which exploits movement history of users to realize a look-ahead policy which enables the clients to retrieve potentially rendered data in advance. The prediction itself is established by Markov chains due to their ability to fast learning in conjunction with 2-state predictor which increases ability of the scheduling system to adapt to new habits of particular users. © 2010 IEEE.

关键词： Markov processes

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Indoor Positioning system Based on BSSID on Office Wi-Fi Network

Indoor Positioning System Based on BSSID on Office Wi-Fi Net...

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2023 International Conference on computer science, information technology and Engineering, ICCoSITE 2023

作者： Aisuwarya, Ratna Ferdian, Rian Yulianti, Indah Hestina Universitas Andalas Faculty of Information Technology Computer Engineering Department Padang Indonesia

ISBN: (纸本)9798350320954

Indoor positioning system determine the position of objects in a closed room or story building. This system can determine not only the position but also the orientation and direction of a person's movement. This research uses Wi-Fi (Wireless Fidelity) a network technology that utilizes wireless technology and can work at frequencies of 2.4 GHz and 5.8 GHz. The aims to produce a system that can monitor the presence of employees. This makes the supervisor's work more effective because it can unify based on the information displayed on the android application. Based on observation and testing that has been done, the proposed system can display BSSID as MAC address and SSID from user data by authentication by admin. The system can monitor the user's position in the faculty office area with the application of the K-Nearest Neighbor (KNN) algorithm and the calculation of Received Signal Strength Indication (RSSI) and using the Fingerprinting method with an average Euclidean distance accuracy of 2.37 meters and able to display the user's position with a 100% success percentage. Then, the system is able to read the value of RSSI with 2.08% error. © 2023 IEEE.

关键词： Indoor positioning systems

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Aligning multi sequences on GPUs

Aligning multi sequences on GPUs

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1st International Conference on Context-Aware systems and Applications, ICCASA 2012

作者： Pham, Hong Phong Nguyen, Huu Duc Nguyen, Thanh Thuy Department of Information System Hanoi University of Science and Technology NOT Is High Performance Computing Center Viet Nam Department of Computer Science VNU - University of Engineering and Technology Viet Nam

ISBN: (纸本)9783642366413

Implementing Multi Sequence Alignment (MSA) problem using the method of progressive alignment is not feasible on common computing systems;it takes several hours or even days for aligning thousands of sequences if we use sequential versions of the most popular MSA algorithm - Clustal. In this paper, we present our parallel algorithm called CUDAClustal, a MSA parallel program. We have paralleled the first stage of the algorithm Clustal and achieved a significant speedup when compared to the sequential program running on a computer of Pentium 4 3.0 GHz processor. Our tests were performed on one GPU Geforce GTX 295 and they gave a great computing performance: the running time of CUDAClustal is smaller approximately 30 times than Clustal for the first stage. This shows the large benefit of GPU for solving the MSA problem and its high applicability in bioinformatics. © 2013 ICST Institute for computer science, Social Informatics and Telecommunications Engineering.

关键词： Graphics processing unit

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Large circuit models: opportunities and challenges

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science China(information sciences) 2024年第10期67卷 25-66页

作者： Lei CHEN Yiqi CHEN Zhufei CHU Wenji FANG Tsung-Yi HO Ru HUANG Yu HUANG Sadaf KHAN Min LI Xingquan LI Yu LI Yun LIANG Jinwei LIU Yi LIU Yibo LIN Guojie LUO Hongyang PAN Zhengyuan SHI Guangyu SUN Dimitrios TSARAS Runsheng WANG Ziyi WANG Xinming WEI Zhiyao XIE Qiang XU Chenhao XUE Junchi YAN Jun YANG Bei YU Mingxuan YUAN Evangeline F.Y.YOUNG Xuan ZENG Haoyi ZHANG Zuodong ZHANG Yuxiang ZHAO Hui-Ling ZHEN Ziyang ZHENG Binwu ZHU Keren ZHU Sunan ZOU Huawei Noah’s Ark Lab School of Integrated Circuits Peking University Faculty of Electrical Engineering and Computer Science Ningbo University Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Department of Computer Science and Engineering The Chinese University of Hong Kong School of Integrated Circuits Southeast University Huawei HiSilicon Peng Cheng Laboratory School of Computer Science Peking University School of Microelectronics State Key Laboratory of Integrated Chips and System Fudan University School of Artificial Intelligence Shanghai Jiao Tong University

Within the electronic design automation(EDA) domain, artificial intelligence(AI)-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies. These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits. Such an “AI4EDA” approach falls short of achieving a holistic design synthesis and understanding,overlooking the intricate interplay of electrical, logical, and physical facets of circuit data. This study argues for a paradigm shift from AI4EDA towards AI-rooted EDA from the ground up, integrating AI at the core of the design process. Pivotal to this vision is the development of a multimodal circuit representation learning technique, poised to provide a comprehensive understanding by harmonizing and extracting insights from varied data sources, such as functional specifications, register-transfer level(RTL) designs, circuit netlists,and physical layouts. We champion the creation of large circuit models(LCMs) that are inherently multimodal, crafted to decode and express the rich semantics and structures of circuit data, thus fostering more resilient, efficient, and inventive design methodologies. Embracing this AI-rooted philosophy, we foresee a trajectory that transcends the current innovation plateau in EDA, igniting a profound “shift-left” in electronic design methodology. The envisioned advancements herald not just an evolution of existing EDA tools but a revolution, giving rise to novel instruments of design-tools that promise to radically enhance design productivity and inaugurate a new epoch where the optimization of circuit performance, power, and area(PPA) is achieved not incrementally, but through leaps that redefine the benchmarks of electronic systems' capabilities.

关键词： AI-rooted EDA large circuit models (LCMs) multimodal circuit representation learning circuit optimization

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Design of Sitting Time and Position Detection system Using Flex Sensor 2

Design of Sitting Time and Position Detection System Using F...

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2nd International Conference on computer science and Engineering, IC2SE 2021

作者： Putri, Rahmi Eka Andriani, Widia Universitas Andalas Faculty of Information Technology Computer Engineering Department Padang Indonesia

ISBN: (纸本)9781665400459

The risk of bending and pain in the lower back shows the importance of maintaining the position and length of time sitting for people who work in a state of sitting in front of a computer screen for a long time. In this research, a device is designed to detect the user when sitting using an ultrasonic sensor and detect the back's curvature when sitting so as not to bend down using a flex sensor. If the user sits for 30 minutes or has a large back curvature of 15 degrees, the Mini DFPlayer will give a sound notification. © 2021 IEEE.

关键词： Ultrasonic applications

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A Fuzzy Logic Based Power-Efficient Run-Time Reconfigurable Multicore system

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Chinese Journal of Electronics 2018年第3期27卷 549-555页

作者： Shaheryar Najam Muhammad Yasir Qadri Zohaib Najam Jameel Ahmed Nadia N.Qadri Electrical Engineering Department Riphah International University School of Computer Science and Electronic Engineering University of Essex Electrical Engineering Department HITEC University Department of Electrical Engineering COMSATS Institute of Information Technology

Increasing demand for better throughput and performance has motivated designers to come up with more sophisticated processors with innovative designs. Such designs for multicore architectures offer large amount of parallelism which is often underutilized and thus becomes overhead and liability. Due to these advancements, there has been a exponential increase in power consumption and heat dissipation of computing devices. Under these circumstances, an ideal system would be a reconfigurable system that can switch off all underutilized resources and work with only required ones. There is a need of reconfigurable computing devices and processors that are smart enough to configure themselves dynamically on runtime to find balance between throughput and power-consumption. This paper proposes a novel fuzzy logic based Dynamic voltage and frequency scaling(DVFS)and power-gating enabled controller which is capable of reducing power-consumption without affecting throughput and overall performance of the system. The design is implemented on Intel processor using Ubuntu as an operating system. Implementation results show that proposed Fuzzy logic controller(FLC) reduces power-consumption upto 40% by reconfiguring the processor dynamically without compromising the throughput.

关键词： DVFS Fuzzy logic controller Energy Throughput

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Type II Fuzzy Logic Based Cluster Head Selection for Wireless Sensor Network

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computers, Materials & Continua 2022年第1期70卷 801-816页

作者： J.Jean Justus M.Thirunavukkarasan K.Dhayalini G.Visalaxi Adel Khelifi Mohamed Elhoseny Department of Computer Science&Engineering St.Joseph’s College of EngineeringChennai600119India School of Computing Science and Engineering Galgotias UniversityUttar Pradesh203201India Department of Electrical and Electronics Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of Computer Science&Engineering Bharath Institute of Higher Education and ResearchChennai600073India Department of Computer Science and Information Technology Abu Dhabi UniversityAbu Dhabi59911United Arab Emirates College of Computer Information Technology American University in the EmiratesDubaiUnited Arab Emirates Faculty of Computers and Information Mansoura UniversityEgypt

Wireless Sensor Network(WSN)forms an essential part of *** is embedded in the target environment to observe the physical parameters based on the type of *** nodes inWSN are constrained by different features such as memory,bandwidth,energy,and its processing *** WSN,data transmission process consumes the maximum amount of energy than sensing and processing of the ***,diverse clustering and data aggregation techniques are designed to achieve excellent energy efficiency in *** this view,the current research article presents a novel Type II Fuzzy Logic-based Cluster Head selection with Low Complexity Data Aggregation(T2FLCH-LCDA)technique for *** presented model involves a two-stage process such as clustering and data ***,three input parameters such as residual energy,distance to Base Station(BS),and node centrality are used in T2FLCH technique for CH selection and cluster ***,the LCDA technique which follows Dictionary Based Encoding(DBE)process is used to perform the data aggregation at ***,the aggregated data is transmitted to the BS where it achieves energy *** experimental validation of the T2FLCH-LCDAtechnique was executed under three different scenarios based on the position of *** experimental results revealed that the T2FLCH-LCDA technique achieved maximum energy efficiency,lifetime,Compression Ratio(CR),and power saving than the compared methods.

关键词： Clustering data aggregation energy consumption cluster head selection wireless sensor networks

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Developing PC-Based Driving Simulator system for Driver Behavior Analysis Research 4

Developing PC-Based Driving Simulator System for Driver Beha...

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4th International Conference on Computing and Applied Informatics 2019, ICCAI 2019

作者： Iqbal, Mohammad Sari, Karmila Ade Sekarwati, Kemal Kemala Putri, Dian Faculty of Computer Science and Information Technology Gunadarma University Depok Indonesia Faculty of Industrial Technology Gunadarma University Depok Indonesia

Driving simulator is one of important system for driving behavior studies. It offers a replicable virtual driving environment and it has possibility to create a various scenarios to carry out in real environment. The problem in development of this simulator is how to reduce a prices in certain point areas have made it possible to create low-cost driving simulators, but with the features that are usually found only in expensive driving simulators. This article is presented a low cost PC-based driving simulator. The aim is to use the simulator as a platform for studies of the driver's behavior. The complete simulator is using three 27" LED screen, handle by a standard PC, typically used for computer games. As Input we using steering, pedal and shifter G29, with force feedback. For software we using city car home edition as tools to measure validity user and developing simulator to driver's behavior study. © Published under licence by IOP Publishing Ltd.

关键词： computer games

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Applications of big social media data analysis: An overview

Applications of big social media data analysis: An overview

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2018 International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2018

作者： Al-Garadi, Mohammed Ali Mujtaba, Ghulam Khan, Muhammad Sadiq Friday, Nweke Henry Waqas, Ahmad Murtaza, Ghulam Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Computer Science Iqra National University Peshawar Pakistan Department of Computer Science Sukkur IBA University Sukkur Pakistan

ISBN: (纸本)9781538613702

Over the last few years, online communication has moved toward user-driven technologies, such as online social networks (OSNs), blogs, online virtual communities, and online sharing platforms. These social technologies have ushered in a revolution in user-generated data, online global communities, and rich human behavior-related content. Human-generated data and human mobility patterns have become important steps toward developing smart applications in many areas. Understanding human preferences is important to the development of smart applications and services to enable such applications to understand the thoughts and emotions of humans, and then act smartly based on learning from social media data. This paper discusses the role of social media data in comprehending online human data and in consequently different real applications of SM data for smart services are executed. © 2018 IEEE.

关键词： Social networking (online)

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