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检索条件"任意字段=11th International Conference on Computer-Aided Design and Computer Graphics"

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Supporting Knowledge Sharing for the Co-design of Digital Learning Games 11th

Supporting Knowledge Sharing for the Co-design of Digital Le...

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11th international conference on Games and Learning Alliance (GaLA)

作者： Prior, Estelle Sanchez, Eric Mandran, Nadine Univ Geneva LIP TECFA Geneva Switzerland Univ Grenoble Alpes LIG CNRS St Martin Dheres France

ISBN: (纸本)9783031221231;9783031221248

this paper deals with knowledge sharing during a collaborative and design-based research project about game-based learning. According to a literature review about serious game design, a key process for collaborative work is knowledge sharing. this process is analysed with the frames of praxeologies and boundary objects. the praxeology framework aims to identify the participants' practice and discourse about this practice for the design of serious games. the boundary objects framework aims to identify knowledge transactions during collaborative work. We collected data from workshops dedicated to co-design of TSADK, a serious game for computer education. We performed a thematic analysis on participants' verbatim for nine workshops. the thematic analysis focuses on one subject: the learning outcomes of the game. the analysis has identified themes on this subject: to specify, to phrase and to select the main learning outcomes. Regarding these themes, the praxeology and boundary object frameworks allow us to identify common practice but no common knowledge and thus, an obstacle to collaboration. Based on these results, we propose a tool for supporting the collaboration design through sharing knowledge.

关键词： Co-design Serious game Praxeology Boundary object Share knowledge

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Improving Energy Consumption in Content-Addressable Memory through Precomputation 11

Improving Energy Consumption in Content-Addressable Memory T...

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11th international conference on Information Technology, ICIT 2023

作者： Alrushood, Hanaa Abed, Sa'Ed Alabdulhadi, Asmaa College of Engineering and Petroleum Computer Engineering Department Kuwait University Kuwait

ISBN: (纸本)9798350320060

Content-addressable memory (CAM) is a storage medium used for high-speed searching of data due to its parallel search capability. Instead of retrieving data based on designated address as in RAM, the user inputs a search item and the data's address is retrieved as a result if it exists. However, the high power consumption associated with parallel search is a significant challenge for CAM memories. In this paper, a new technique is proposed to reduce power consumption in CAM memory while maintaining an acceptable search speed. the technique involves precomputing the number of contiguous ones in an input and comparing it to the same calculations of the stored data, thereby reducing the number of necessary comparisons and resulting in power reduction. the experiment results show that the proposed design outperforms other approaches with an energy consumption of 0.119 fj/bit/search and the cycle delay time of 0.67 ns. © 2023 IEEE.

关键词： Electric power utilization

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design and development of an assisted communication system, using machine learning and natural language processing, for the detection of fake news on Twitter 23

Design and development of an assisted communication system, ...

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11th international conference on computer and Communications Management, ICCCM 2023

作者： Altamirano Perez, Brayan Omar Valencia, Odalis Dayanna Carrillo Medina, Jose Luis University of the Armed Forces Espe Ecuador

ISBN: (纸本)9798400707735

Misleading news has always existed in the world, it has become much easier to spread false information in new communication technologies, allowing users to be not only consumers, but also producers of discourses that circulate and that are often of dubious source of information, known as "Fake News"and these have proliferated around the world. Twitter, a social net-work that allows users to read and share information, is not free from this problem and, as it is used as an information tool in Latin American media, the spread of fake news is the order of the day, which is why the use of APIs provides a unique value by allowing the communication of various modules, improving the efficiency of use and reliability of the information, the objective of this research is the creation of an extension that allows the detection of false news at a Hispanic level through its own datasets and machine learning, in turn allowing communication with an order bot that reports the results obtained to the staff in charge, allowing to comply with an efficient flow of assistance. © 2023 ACM.

关键词： Machine learning

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Accident Prevention Using Drowsiness Detection 11

Accident Prevention Using Drowsiness Detection

引用

11th international conference on Intelligent Systems and Embedded design, ISED 2023

作者： Rajput, Kapil Mishra, Amit Kumar Pandey, Neeraj Kumar Kotiyal, Sangeeta Radwal, Babita Rani Computer Science & Engg. Graphic Era Hill University Dehradun India Computer Science & Engg. Graphic Era University Dehradun India Computer Science & Engg. Uttaranchal University Dehradun India

ISBN: (纸本)9798350318159

Accident prevention is a vital aspect of ensuring road safety, as road accidents can lead to severe injuries and fatalities. therefore, effective measures to prevent accidents are of utmost importance. One prominent cause of car accidents is driver drowsiness, which impairs the driver's ability to react promptly, increases reaction time, and reduces alertness. To address this issue and minimize the risk of drowsiness-related accidents, we propose a novel project that employs driver drowsiness detection techniques based on eye detection, specifically the Eye Aspect Ratio (EAR), as well as lip detection, utilizing the Lip Aspect Ratio (LAR). Our proposed system actively monitors the driver's eye movement, blink rate, and lip movements in real-time to detect signs of drowsiness. the system utilizes a camera mounted on the car's dashboard to capture the driver's face, and the collected footage is transmitted to an analysis computer for processing. computer vision techniques are then employed to detect and track the driver's eyes, calculating the EAR, which measures the ratio of the eye's height to width. Additionally, the system identifies the driver's lips and calculates the LAR, a ratio representing the mouth's height to width. To build the suggested solution, deep learning algorithms have been extensively trained on extensive datasets of images and videos of drivers exhibiting various levels of intoxication and sleepiness. these models have been taught to recognize distinct signs of sleepiness, such as drooping eyelids, sluggish eye movements, and frequent yawning. When the driver's sleepiness levels exceed a predefined threshold, the technology alerts the driver and the car's control system. these alerts can take the form of visual or audible indications, guiding the driver to stop, pull over, or take other necessary safety precautions. the suggested system offers several potential advantages, including improved traffic safety, reduced frequency of drowsy-driving-in

关键词： Aspect ratio

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TRANSIT-ORIENTED DEVELOPMENT ASSISTIVE INTERFACE (TODAI) A Machine Learning-Powered Computational Urban design Tool to Enhance TOD Planning Processes 27th

TRANSIT-ORIENTED DEVELOPMENT ASSISTIVE INTERFACE (TODAI) A M...

引用

27th international conference of the Association for computer-aided Architectural design Research in Asia, CAADRIA 2022

作者： Zhang, Garry Meng, Leo Lin Gardner, Nicole Yu, Daniel Haeusler, Matthias UNSW / Computational Design HDR Inc./Data-Driven Design

ISBN: (纸本)9789887891772

Transit-oriented Development(TOD) is widely regarded as a sustainable development paradigm for its sensible space planning and promotion of public transit access. Research in providing decision support tools of TOD may contribute to the Sustainable Development Goals, especially towards sustainable cities and communities (SDG goal 11).While the existing Geographic Information System(GIS) approach may well inform TOD planning, computational design, simulation, and visualisation techniques can further enhance this process. the research aims to provide a data-driven, computational-aided planning support system (PSS) to enhance the TOD decision-making process. the research adopts an action research methodology, which iteratively designs experiments and inquires through situating the research question in real-world practice. A work-in-progress prototype is provided-Transit-Oriented Development Assistive Interface (TODAI), along with an experiment in a newly proposed metro station in Sydney, Australia. TODAI provides real-time visualisation of urban forms and analytical data indicators reflecting key considerations relevant to TOD performance. A regressive machine learning model (XGBoost) is used to make predictions of analytical indicators, promptly producing outcomes that may otherwise require a costly computational operation. © 2022, the Association for computer-aided Architectural design Research in Asia. All rights reserved.

关键词： Machine learning

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EPISODE: EPISODIC GRADIENT CLIPPING WIth PERIODIC RESAMPLED CORRECTIONS FOR FEDERATED LEARNING WIth HETEROGENEOUS DATA 11

EPISODE: EPISODIC GRADIENT CLIPPING WITH PERIODIC RESAMPLED ...

引用

11th international conference on Learning Representations, ICLR 2023

作者： Crawshaw, Michael Bao, Yajie Liu, Mingrui Department of Computer Science George Mason University FairfaxVA22030 United States School of Mathematical Sciences Shanghai Jiao Tong University Shanghai China

Gradient clipping is an important technique for deep neural networks with exploding gradients, such as recurrent neural networks. Recent studies have shown that the loss functions of these networks do not satisfy the conventional smoothness condition, but instead satisfy a relaxed smoothness condition, i.e., the Lipschitz constant of the gradient scales linearly in terms of the gradient norm. Due to this observation, several gradient clipping algorithms have been developed for nonconvex and relaxed-smooth functions. However, the existing algorithms only apply to the single-machine or multiple-machine setting with homogeneous data across machines. It remains unclear how to design provably efficient gradient clipping algorithms in the general Federated Learning (FL) setting with heterogeneous data and limited communication rounds. In this paper, we design EPISODE, the very first algorithm to solve FL problems with heterogeneous data in the nonconvex and relaxed smoothness setting. the key ingredients of the algorithm are two new techniques called episodic gradient clipping and periodic resampled corrections. At the beginning of each round, EPISODE resamples stochastic gradients from each client and obtains the global averaged gradient, which is used to (1) determine whether to apply gradient clipping for the entire round and (2) construct local gradient corrections for each client. Notably, our algorithm and analysis provide a unified framework for both homogeneous and heterogeneous data under any noise level of the stochastic gradient, and it achieves state-of-the-art complexity results. In particular, we prove that EPISODE can achieve linear speedup in the number of machines, and it requires significantly fewer communication rounds. Experiments on several heterogeneous datasets, including text classification and image classification, show the superior performance of EPISODE over several strong baselines in FL. the code is available at https://***/MingruiLiu-M

关键词： Recurrent neural networks

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design Methodology for S-S Compensated Sub-Resonant Controlled Inductive Wireless Power Transfer Link with Range of CV Loads Under Frequency Constraints 11

Design Methodology for S-S Compensated Sub-Resonant Controll...

引用

11th international conference on Power Electronics, Machines and Drives, PEMD 2022

作者： Vulfovich, Andrey Kuperman, Alon Applied Energy Laboratory School of Electrical and Computer Engineering Ben Gurion University of the Negev Beersheba Israel

ISBN: (数字)9781839537189

ISBN: (纸本)9781839537189

Coupling coefficient of inductive wireless power transfer Link (IWPTL) varies with changes in vertical distance and misalignment between primary and secondary coils. this poses a challenge in system design when a certain geometrical positioning uncertainty is introduced. System design must take this into consideration allowing operation over a range of coupling coefficients rather than a single value. Furthermore, in instances such as electrical vehicle (EV) charging, frequency constraints are introduced such as the bounds in SAEJ2954 standard. this paper proposes a design methodology for series-series (S-S) compensated IWPTL with sub-resonant frequency control allowing for operation over a range of coupling coefficients. Example system is validated by simulation and experimental results. © IET conference Proceedings. All right reserved.

关键词： Systems analysis

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threatening Expression and Target Identification in Under-Resource Languages Using NLP Techniques 11th

Threatening Expression and Target Identification in Under-Re...

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11th international conference on Analysis of Images, Social Networks and Texts, AIST 2023

作者： Malik, Muhammad Shahid Iqbal Department of Computer Science National Research University Higher School of Economics 11 Pokrovskiy Boulevard Moscow109028 Russia

ISBN: (纸本)9783031545337

In recent decades, hate speech on social media platforms has been on the rise. It is highly desired to control this kind of material because it initiates unrest and harms to the society. Literature describes several forms of the hate speech and it is quite challenging to differentiate between these forms and to design an automated detection system, especially for under-resource languages. In this study, we propose a robust framework for threatening expressions and its target identification in Urdu (Nastaliq style) language. the proposed methodology presents each step in detail like data collection & annotation, cleaning & pre-processing step, and fine-tuning of Robustly Optimized Bidirectional Encoder Representations from Transformer (Urdu-RoBERTa) with grid search technique for hyper-parameters optimization. the study exploits the strength of a pre-trained Urdu-RoBERTa as a transfer learning technique with grid search fine-tuning. the proposed framework is compared with state-of-the art baseline and ten comparable models and it outperformed all for both tasks (threatening expression and target identification). Furthermore, the proposed framework obtained benchmark performance and improved the f1-score with substantial margin. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Natural language processing systems

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Acceleration of image processing algorithms based on a Single Board computer and FPGA co-design 11

Acceleration of image processing algorithms based on a Singl...

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11th international conference on Modern Circuits and Systems Technologies (MOCAST)

作者： Kokotis, Petros Vourvoulakis, John Int Hellen Univ Dept Comp Informat & Telecommun Engn Serres Greece

ISBN: (数字)9781665467179

ISBN: (纸本)9781665467179

During recent years, various hardware platforms were developed, each one suitable for use in different kind of applications. Platforms based on FPGAs, DSPs, GPUs, Single Board computers, microcontrollers extend processing capabilities and functionality in comparison with traditional personal computers based on a single CPU. Furthermore, co-design combines advantages from different types of processing units, rendering such architectures more attractive to researchers. In this paper, we achieve acceleration of image processing algorithms using a hardware platform based on a Raspberry Pi Single Board computer and a custom designed FPGA HAT (Hardware Attached on Top) for RPi. the FPGA HAT consists of a Cyclone 10LP device the FPGA undertakes a computationally demanding load such as robotic vision algorithms exploiting parallelism, while the RPi can apply higher level operations such as running ROS (Robot Operating System). In order to overcome bottleneck in exchanging data between RPi and FPGA, a 16-bit parallel customized protocol was developed from scratch. the achieved transfer rate was about 50 Mbytes/sec when multi threaded software was implemented for the RPi. An image edge detector was implemented in order to verify the system performance. When only the RPi was used the processing rate was 48fps for images with resolution 512x512 pixels. RPi and FPGA co-design achieved processing rate 170fps for the same resolution images, which means an acceleration of about 350%. the proposed system was also evaluated in terms of power consumption.

关键词： fpga accelerator raspberry pi

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Multimodal 3D Object Retrieval 30th

Multimodal 3D Object Retrieval

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30th international conference on MultiMedia Modeling, MMM 2024

作者： Pegia, Maria Jónsson, Björn Þór Moumtzidou, Anastasia Diplaris, Sotiris Gialampoukidis, Ilias Vrochidis, Stefanos Kompatsiaris, Ioannis Centre for Research and Technology Hellas Information Technologies Institute Thessaloniki Greece Reykjavik University Reykjavík Iceland

ISBN: (纸本)9783031533013

three-dimensional (3D) retrieval of objects and models plays a crucial role in many application areas, such as industrial design, medical imaging, gaming and virtual and augmented reality. Such 3D retrieval involves storing and retrieving different representations of single objects, such as images, meshes or point clouds. Early approaches considered only one such representation modality, but recently the CMCL method has been proposed, which considers multimodal representations. Multimodal retrieval, meanwhile, has recently seen significant interest in the image retrieval domain. In this paper, we explore the application of state-of-the-art multimodal image representations to 3D retrieval, in comparison to existing 3D approaches. In a detailed study over two benchmark 3D datasets, we show that the MuseHash approach from the image domain outperforms other approaches, improving recall over the CMCL approach by about 11 % for unimodal retrieval and 9 % for multimodal retrieval. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： three dimensional computer graphics

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