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

共 8486 条记录，以下是1211-1220 订阅

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design of Tablet-Based Live Mobile Learning System Supporting Improved Annotation 11th

Design of Tablet-Based Live Mobile Learning System Supportin...

引用

11th international conference on computer Science and its Applications, CSA 2019 and 14th KIPS international conference on Ubiquitous Information Technologies and Applications, CUTE 2019

作者： Lee, Jang Ho Department of Computer Engineering Hongik University 72-1 Sangsu Mapo Seoul121-791 Korea Republic of

ISBN: (纸本)9789811593420

In the past, we had developed a mobile learning system that delivers a lecture to students in the distance through tablets. the students were able to watch the lecture with presentation slides with annotation as well as to ask questions in chat with their tablets in real time. An instructor, however, sometimes had difficulty explaining a concept just by making annotations in the panel for presentation slides since there is usually not enough space to draw figures necessary for explanation by hand in real time in that panel. therefore, we present a design of a newly improved system with a separate whiteboard panel in which an instructor can draw figures by hand in real time so that the students can better understand the concept being explained by the instructor. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Students

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Multi-objective performance prediction based on a self-constructed Al-Si alloy dataset

Multi-objective performance prediction based on a self-const...

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Information Systems and Computing Technology (ISCTech), international conference on

作者： Dan Hu Yingli Liu Tao Shen Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China Yunnan Key Laboratory of Computer Technologies Application Kunming University of Science and Technology Kunming China

the combination of data-driven approaches and machine learning techniques has changed the design approach for new materials, propelling materials science research into the realm of the fourth paradigm. Researchers in the field of materials science have increasingly focused on utilizing machine learning methods to uncover the underlying nonlinear relationships within material data. However, there is currently limited research in the field of aluminum-silicon alloys regarding the prediction of alloy performance based on the composition-process-structure relationship. Additionally, there is a lack of data sharing in the aluminum-silicon alloy domain. therefore, this study proposes a methodology. Firstly, an aluminum-silicon alloy dataset is constructed by mining relevant information from materials literature. then, high-dimensional features in the dataset are subjected to feature selection techniques for dimensionality reduction. Subsequently, a multilayer perceptron model is applied to investigate the relationship between input features such as alloy composition, preparation process, and microstructural parameters, and output features such as yield strength, ultimate tensile strength, and elongation, enabling performance prediction.

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Enhancing Breeding Control: the IoT-Driven Automated System for Budgie Farming

Enhancing Breeding Control: The IoT-Driven Automated System ...

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international conference on Cyber and IT Service Management (CITSM)

作者： Saranpong Nooyimsai Jarinya thaloy Parinya Jansengrat Weena Janratchakool Jaturapith Krohkaew Padma Nyoman Crisnapati Yamin thwe Department of Information Technology Srivijaya Rajamangala University of Technology Nakhon Si Thammarat Thailand Department of Big Data Management and Analytics Rajamagala University of Technology Thanyaburi Pathum Thani Thailand Department of Computer Science Rajamagala University of Technology Thanyaburi Pathum Thani Thailand Department of Information System Institute of Technology and Business STIKOM Bali Bali Indonesia

In thailand’s Pak Phanang Nok Hong Yok Farm, where budgies are raised, it emphasizes the value of proper care and surroundings. the primary problem this research addresses is the need for efficient and automated management of budgie farms, encompassing aspects such as feeding, watering, and temperature control and overcoming language barriers for thailand’s budgie farmers. An innovative Internet of things (IoT) solution is suggested, departing from conventional approaches to handle challenges connected to manual care and environmental management for farmers. this system provides solutions for these challenges while enhancing monitoring and facilitating automated control. through this IoT-based solution, the research intends to increase productivity, save time, and decrease bird mortality while enabling users to manage their farms remotely. Comprehensive methodologies involving breeding, environmental considerations, and hardware and software design are outlined, resulting in significant advancement in budgie farming practices and showcasing IoT’s potential in agriculture.

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design and Analysis of SLAM-based Autonomous Navigation of Mobile Robot

Design and Analysis of SLAM-based Autonomous Navigation of M...

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international conference on Advanced computer Control, ICACC

作者： Deepa T R Jose Mathew Sarah Jacob Department of Electronics and Communication College of Engineering Chengannur Kerala India APJ Abdul Kalam Technological University Trivandrum Kerala India Department of Mechanical College of Engineering Kerala India Department of Electronics and Communication College of Engineering Kerala India

ISBN: (数字)9798350379136

ISBN: (纸本)9798350379143

this work, investigated an autonomous mobile robot simultaneous localization and mapping (SLAM) using the Extended Kalman Filter (EKF) in an indoor environment. All of the experiments were run using the Robot Operating System (ROS). In the actual trials, the 2D laser scan matching data was acquired using the Rplidar A1 single-line lidar, and the indoor map was created using the open-source Gmapping and Hector SLAM algorithms, which may obtain the indoor maps in the ROS graphical tool Rviz. An autonomous mobile robot for simultaneous localization and mapping is possible and high-precision maps may be created, according to the experimental results of the two open-source algorithms with and without sensor fusion analyzed.

关键词： Simultaneous localization and mapping Operating systems Software algorithms Sensor fusion Writing Time measurement Software Mobile robots Kalman filters Autonomous robots

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Path Planning Algorithm for Multiple UAVs Based on Artificial Potential Field

Path Planning Algorithm for Multiple UAVs Based on Artificia...

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IEEE Joint international Information Technology and Artificial Intelligence conference (ITAIC)

作者： Chongde Ren Jinchao Chen Chenglie Du Wenquan Yu School of Software Northwestern Polytechnical University Xi'an China Department of Computer Science Northwestern Polytechnical University Xi'an China Department of Land Unmanned System Research and Development North Automatic Control Technology Research Institute Taiyuan China

Due to the lower cost and higher maneuverability, unmanned aerial vehicles (UAVs) have found extensive use in both the civilian and military worlds. Path planning, as a crucial problem in the process of UAVs flight, aims to determine the optimal routes for multiple UAVs from various starting points to a single destination. However, because of the involvement of complex conditional constraints, path planning becomes a highly challenging problem. the path planning problem involving numerous UAVs is examined in this research, and a SAAPF-MADDPG algorithm based on Artificial Potential Field (APF) is suggested as a solution. First, a SA-greedy algorithm that can change the probability of random exploration by agents based on the number of steps and successful rounds to prevent UAVs from getting trapped in a local optimum. then, we design complex reward functions based on APF to guide UAVs to destination faster. Finally, SAAPF-MADDPG is evaluated against the MADDPG, DDPG, and MATD3 methods in simulation scenarios to confirm its efficacy.

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design of a Distributed Ledger-Based Reward Architecture for Collaborative Tasks 11th

Design of a Distributed Ledger-Based Reward Architecture for...

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11th international conference on computer Engineering and Networks, CENet2021

作者： Wang, Jiaxing Rui, Lanlan Yang, Yang Wang, Miaomiao Chen, Shiyou Wang, Zhili State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9789811665530

With the development and progress of blockchain, its application scenarios are becoming more and more extensive. And in the development of crowd-sensing, how to get high quality sensing data and how to motivate enough users to participate is the urgent problem at present. this article is based on the existing technology, with the help of distributed ledger, crowd-sensing, incentive mechanism and other concepts, combined with collaborative tasks to achieve incentive mechanism, which can effectively solve the problem of platform centrality and realize decentralized operation. At the same time, smart contracts on the blockchain can be executed to realize complex logic, thus solving the shortcomings of the current incentive mechanism. this paper can be applied to smart city noise sensing scenario, and combined with blockchain technology, it can realize decentralized storage of data security and distributed implementation of incentive mechanism. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Smart contract

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design and Implementation of Object Detection Model for UAV Aerial images Based on TS-YOLOv8

Design and Implementation of Object Detection Model for UAV ...

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IEEE Joint international Information Technology and Artificial Intelligence conference (ITAIC)

作者： Shi Wang Jiao Li JiaHui Chen XinShu Liu ChenLu Xie XiangJu Liu College of Computer and Communication Engineering Qilu Institute of Technology Jinan China College of Artificial Intelligence and Software Liaoning Petrochemical University Fushun China

the main task of UAV aerial object detection is to accurately detect and locate objects using rectangular boxes in aerial images or videos. Due to factors such as shooting height and angle, small objects and overlapping objects account for a large proportion of aerial photography objects. Current UAV aerial photography object detection models may encounter missed detection issues when detecting these two types of objects. In response to the above issues, this paper proposes a TS-YOLOv8 UAV aerial photography object detection model. this model adds a tiny object detection layer on the basis of YOLOv8n to solve the problem of missed detection of small objects. Secondly, the Soft-NMS algorithm is used to optimize the candidate boxes of YOLOv8n to solve the problem of missed detection of mutually occluding objects. the experimental results on the VisDrone2019 dataset show that the proposed TS-YOLO unmanned aerial vehicle aerial photography object detection model can effectively solve the problem of missed detection of small and mutually occluding objects.

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A Timeline Metaphor for Analyzing the Relationships between Musical Instruments and Musical Pieces 15

A Timeline Metaphor for Analyzing the Relationships between ...

引用

15th international Joint conference on computer Vision, Imaging and computer graphics theory and Applications (VISIGRAPP) / 11th international conference on Information Visualization theory and Applications (IVAPP)

作者： Kusnick, J. Khulusi, R. Focht, J. Janicke, S. Univ Leipzig Inst Comp Sci Image & Signal Proc Grp Leipzig Germany Univ Leipzig Inst Musicol Mus Instrument Museum Leipzig Germany Univ Southern Denmark Dept Math & Comp Sci Odense Denmark

ISBN: (纸本)9789897584022

Digitization projects make cultural heritage data sustainably available. However, while digital libraries may capture various aspects, relations across different sources often remain unobserved. In our project, musicologists aimed to relate musical instruments with historical performances of musical pieces, both contained in different sources. We defined a similarity measure taking instrumentation, temporal as well as geospatial metadata into account, with which we were able to hypothesize potential relations. We propose a novel time-line design that offers a specific semantic zoom metaphor enabling the collaborating musicologists to observe and evaluate the results of our similarity analysis. the value of our system for research in musicology is documented in three case studies.

关键词： Music Visualization Timeline Visualization Geovisualization Visual design

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A Survey of Recent Optimization Techniques in Power Distribution Network Reconfiguration

A Survey of Recent Optimization Techniques in Power Distribu...

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international Conf on Electrical and Electronic Engineering (ICEEE)

作者： Nour Ibrahim Alrifaee Mohamed Abdi Jama Electrical and Computer Engineering Department Abu Dhabi University Abu Dhabi UAE

ISBN: (数字)9798350362541

ISBN: (纸本)9798350362558

Optimizing the structure and design of power distribution systems to improve overall performance, reliability, and efficiency is the challenge of re-configuring distribution networks. the objectives of this process are to reduce power loss, enhance system resilience, integrate renewable energy sources, improve voltage profiles, and accommodate dynamic loads. To adapt the distribution network to shifting conditions and needs, re-configuring the network is a challenging task that calls for the use of complex optimization algorithms, smart grid technology, and real-time monitoring. It is necessary to maintain an ideal balance between several different objectives to maintain a distribution system that is both cost-effective and sustainable. the study delves into existing optimization strategies, technological advancements, and operational constraints to provide a compre-hensive review of cutting-edge distribution system reconfiguration strategies.

关键词： Surveys Renewable energy sources Reviews Power system dynamics Distribution networks Voltage Reliability engineering Real-time systems Smart grids Power system reliability

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Assessing Affective Engagement with Narratives of Invisible Disability

Assessing Affective Engagement with Narratives of Invisible ...

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international conference on Affective Computing and Intelligent Interaction and Workshops, ACII

作者： Daniel T. Kessler David Y.J. Kim Grace S. Ahn Neska Elhaouij Rosalind Picard MIT Center for Constructive Communication Massachusetts Institute of Technology Cambridge USA Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge USA MIT System Design and Management Massachusetts Institute of Technology Cambridge USA Affective Computing Group Massachusetts Institute of Technology Cambridge USA

Narratives about invisible disabilities are poorly represented in public discourse and often go undisclosed [1], leading to false assumptions, discrimination, and stigma [2] against those who experience these conditions. To address these issues, recent studies have suggested that disclosure of first-person narratives of invisible disabilities should be increased [3]. To understand the mechanisms affecting recipients of such narratives, the present study evaluates how social media users (N = 124) engage affectively with this content in a digitally mediated narrative-form intervention designed to reduce harmful assumptions against persons who experience invisible disabilities. Results of this study indicate that such an intervention may prove effective at reducing harmful assumptions on the basis of visual cues, and in line with past research, finds that affect may play an important role in assumption-making processes [4]. Findings from this study may be used to inform novel digital interventions capable of counteracting harmful assumptions that drive prejudicial behaviors against a wide range of populations and communities.

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