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2024 IEEE MIT Undergraduate Research Technology Conference, URTC 2024

作者： Ortiz, Tyler Tang, Vicky Sutton, Karla The City College of New York Cuny New York Grove School of Engineering Computer Science New York United States School of Constructed Environments Parsons School of Design New York New York United States Lab School for Collaborative Studies New York Department of Computer Science New York United States

ISBN: (纸本)9798331531003

While crowdsourcing is an effective method for collecting large-scale datasets, it often faces challenges related to data quality and quantity. This study employs crowdsourcing to collect comprehensive urban accessibility data, focusing on storefront accessibility information in a large city. This task presents significant challenges in terms of data completeness and quality. To address these issues, we propose a user-centric, request-driven crowdsourcing approach that gathers accessibility data based on requests from individuals who are blind or have low vision (BLV). This approach strengthens the user-volunteer feedback loop, increasing volunteer engagement and enhancing user experience. It allows BLV individuals to effectively utilize the collected storefront accessibility data for independent travel. A preliminary user study confirms the effectiveness of the proposed approach. © 2024 IEEE.

关键词： Crowdsourcing

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A Study of Two Types of Introductory Exercise Problems for Network Programming Learning with Python 23

A Study of Two Types of Introductory Exercise Problems for N...

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11th International Conference on computer and Communications Management, ICCCM 2023

作者： Lu, Xiqin Funabiki, Nobuo Ueda, Kiyoshi Kao, Wen-Chung Department of Information and Communication Systems Distributed System Design Lab. Okayama University Okayama Japan Department of Computer Science Control Software Lab. Nihon University Koriyama Japan Department of Electrical Engineering National Taiwan Normal University Taipei Taiwan

ISBN: (纸本)9798400707735

Network programming is the act of writing computer codes for communications between programs or processes in different computers across networks. It is crucial for applications and services using networks, including e-commerce, gaming, and social media. However, university courses of educating it are very limited. As a result, it has become important to develop and offer IT tools to support self-studies of network programming by novices. In this paper, we present a study of two types of introductory exercise problems, namely, Grammar-concept Understanding Problem (GUP) and Comment Insertion Problem (CIP), for self-studies of five basic network protocols of TCP/IP, ARP, SMTP, POP3, and SSH with Python. A GUP instance requests to answer the keyword such as a library function in the given source code that corresponds to the grammar concept described in the question. A CIP instance requests to insert the comment at each blank of the code. String matching is adopted to mark any answer at the browser-based answer interface. Through solving them, it is expected to understand the meaning of important words and the code structure for network programming. As preliminary evaluations, we generated six GUP and CIP instances respectively, and assigned them to 10 students in Okayama University, Japan. The results confirmed that the proposal is proper for novices to learn network programming with Python. © 2023 ACM.

关键词： Python

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Advances in tangible interaction and ubiquitous virtual reality

Advances in tangible interaction and ubiquitous virtual real...

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作者： Hong, Dongpyo Höllerer, Tobias Haller, Michael Takemura, Haruo Cheok, Adrian David Kim, Gerard Jounghyun Billinghurst, Mark Woo, Woontack Hornecker, Eva Jacob, Robert J.K. Hummels, Caroline Ullmer, Brygg Schmidt, Albrecht Van Den Hoven, Elise Mazalek, Ali Gwangju Institute of Science and Technology Department of Computer Science University of California Santa Barbara Upper Austria University of Applied Sciences Department of Digital Media Infomedia Education Division Osaka University Cybermedia Center National University of Singapore Mixed Reality Lab. Keio University Department of Computer Science and Engineering Korea University Gwangju Institute of Science and Technology Open University Pervasive Interaction Lab. Department of Computer Science Tufts University Eindhoven University of Technology Department of Industrial Design Department of Computer Science Louisiana State University University of Duisburg Pervasive Computing and User Interface Engineering Group Essen Digital Media Program Georgia Institute of Technology

The first article reports on context-sensitive augmented-reality research presented at the 2007 International Symposium on Ubiquitous Virtual Reality. This student-organized event explored the use of contextual information, design principles, and effective user evaluation for developing AR applications for ubiquitous computing environments. The second article reports on The International Conference on Tangible and Embedded Interaction, the first conference series worldwide to focus on tangible and embedded interaction. The conference is interdisciplinary, covering the arts, hardware design, software toolkits for prototyping, and user studies and theory development. © 2006 IEEE.

关键词： Virtual reality

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Exploring Visuo-Haptic augmented reality user interfaces for Stereo-tactic neurosurgery planning 7th

Exploring Visuo-Haptic augmented reality user interfaces for...

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7th International Conference on Medical Imaging and Augmented Reality, MIAR 2016

作者： Eck, Ulrich Stefan, Philipp Laga, Hamid Sandor, Christian Fallavollita, Pascal Navab, Nassir Computer Aided Medical Procedures Technische Universität München Munich Germany School of Engineering and Information Technology Murdoch University Perth Australia Nara Institute of Science and Technology Interactive Media Design Lab Ikoma Japan

ISBN: (纸本)9783319437743

Stereo-tactic neurosurgery planning is a time-consuming and complex task that requires detailed understanding of the patient anatomy and the affected regions in the brain to precisely deliver the treatment and to avoid proximity to any known risk structures. Traditional user interfaces for neurosurgery planning use keyboard and mouse for interaction and visualize the medical data on a screen. Previous research, however, has shown that 3D user interfaces are more intuitive for navigating volumetric data and enable users to understand spatial relations more quickly. Furthermore, new imaging modalities and automated segmentation of relevant structures provide important information to medical experts. However, displaying such information requires frequent context switches or occludes otherwise important information. In collaboration with medical experts, we analyzed the planning workflow for stereo-tactic neurosurgery interventions and identified two tasks in the process that can be improved: volume exploration and trajectory refinement. In this paper, we present a novel 3D user interface for neurosurgery planning that is implemented using a head-mounted display and a haptic device. The proposed system improves volume exploration with bi-manual interaction to control oblique slicing of volumetric data and reduces visual clutter with the help of haptic guides that enable users to precisely target regions of interest and to avoid proximity to known risk structures. © Springer International Publishing Switzerland 2016.

关键词： Augmented reality

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Analog field programmable CMOS current conveyor

Analog field programmable CMOS current conveyor

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2012 Students Conference on engineering and Systems, SCES 2012

作者： Kapur, G. Mittal, S. Markan, C.M. Pyara, V.P. VLSI Design Technology Lab Dayalbagh Educational Institute Dayalbagh Agra India Department of Physics and Computer Science Dayalbagh Educational Institute Dayalbagh Agra India Department of Electrical Engineering Dayalbagh Educational Institute Dayalbagh Agra India

ISBN: (纸本)9781467304559

We propose a simplified analog design cycle to generate reconfigurable and accurate prototype of several analog ICs. On applying the design cycle a comprehensive design methodology is being developed that make designs customizable and adaptable by a field user. The basic design of a second generation current controlled current conveyor is first analyzed to estimate the basic circuit configuration to verify its basic functionality. Secondly using its small signal equivalent model, ac and dc characteristics are being derived in terms of threshold voltage of transistors, present in the circuit. Indeed, with the help of floating gate transistors, which has a feature of post fabrication programmability of its threshold voltage, an accurate and reconfigurable prototype of the design can be obtained. The circuit is simulated using BSIM3 level49 MOSFET models in T-Spice 0.35m CMOS process. Various Characteristics of CCCII are being derived and estimated their sensitivity with respect to threshold voltage of respective floating-gate transistors. The simulated results demonstrate that by programming threshold voltages, fine tuning of circuit specifications with wide spectrum can be achieved. The designs fabricated using our methodology can be adaptive to any desired value of specification with very high precision (about 13bit programming precision can attain with floating gate transistor). It can also make Analog ICs immune to most drawbacks like processes variations, device degradation by introducing new possibilities such as self correction and adaptability. © 2012 IEEE.

关键词： Threshold voltage

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Empa talk: A physiological data incorporated human-computer interactions

Empa talk: A physiological data incorporated human-computer ...

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32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014

作者： Lee, Myungho Kim, Kangsoo Roh, Hyunghwan Kim, Si Jung Jun Dept. of Electrical Engineering and Computer Science University of Central Florida United States Dept. of Industrial Engineering University of Central Florida United States HCI Lab. Digital Media School of Visual Arts and Design University of Central Florida United States

ISBN: (纸本)9781450324748

We present a novel approach that allows the user to feel the other's emotional status while communicating with each other in a video chat. The video chat is composed of physiological sensors and multimodal displays. In our first prototype, we employed a Galvanic Skin Response (GSR) sensor and a Blood Volume Pulse (BVP) sensor as they were crucial indications to human emotions. A vibrotactile motor and a RGB LED were also used in order to convey and display the other's emotion on one's wrist. Along with the hardware part, we implemented intuitive software for processing, transmitting, and displaying bio feedback data.

关键词： Electrophysiology

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Network Energy Consumption Analysis and Dormancy Mechanism Based on Ant Colony Algorithm in Cloud Computing Environment for IOT Service and Real-time Embedded Industrial Control System

Network Energy Consumption Analysis and Dormancy Mechanism B...

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第27届中国控制与决策会议

作者： Shi Shaoling Zhang Jing Chen Moliang Rong Hui Cui Yi Fu Xiaodong 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 Yunnan Academy of Scientific & Technical Information

ISBN: (纸本)9781479970162

At present,cloud computing technology is widely used in IOT(Internet of Things) service and real-time embedded industrial control system energy consumption,problem in the cloud computing has always been the hot topic of industry and academic *** paper analyzes the energy consumption of each equipment under the dormancy mechanism in the cloud computing ***,this paper introduces the ant colony algorithm into a basic network energy consumption model,thereby building a new model for the energy consumption *** simulation experiments were implemented on a cloud computing simulation platform *** comparison with two algorithms- Min LP and Dijkstra,the model presented in this paper was proved to be effective and more energy-efficient.

关键词： real-time embedded industrial control system

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Roopkotha: A Companion Robot for Enhancing Interactive Storytelling with Natural Interaction 3

Roopkotha: A Companion Robot for Enhancing Interactive Story...

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3rd International Conference on Image Processing and Robotics, ICIPRoB 2024

作者： Mehzabin, Kazi Mayesha Islam, Md. Zahidul Nur, Md. Ashaduzzaman Shidujaman, Mohammad Samani, Hooman Mi, Haipeng Independent University Bangladesh RIoT Center and Department of Computer Science and Engineering Dhaka Bangladesh Creative Computing Institute University of the Arts London London United Kingdom Tsinghua University Media and Interaction Lab Academy of Arts and Design Beijing China

ISBN: (纸本)9798350374766

Roopkotha is a storytelling robot that seamlessly combines traditional storytelling methods and technology, creating a captivating robot storyteller. We are creating a special prototype in the world of robots that tells stories in a way that is easy to understand and enjoy. In this era of technological advancement, Roopkotha combines voice recognition with Bangla Language processing, emotion recognition, human behavior detection. Roopkotha aims to revolutionize the way stories are told and engage with users on a deep emotional level. Furthermore, Roopkotha is equipped with advanced facial expressions and emotion recognition technology. The emotion recognition feature helps the robot to have a profound connection with the users. © 2024 IEEE.

关键词： Emotion Recognition

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Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning

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Visual Computing for Industry,Biomedicine,and Art 2024年第1期7卷 19-32页

作者： Linxuan Wang Jinghua Xu Shuyou Zhang Jianrong Tan Shaomei Fei Xuezhi Shi Jihong Pang Sheng Luo State Key Lab of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhouZhejiang 310058China Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province Zhejiang UniversityHangzhouZhejiang 310058China State Key Lab of Materials Processing and Die&Mould Technology Huazhong University of Science and TechnologyWuhanHubei 430074China School of Marine Engineering Equipment Zhejiang Ocean UniversityZhoushanZhejiang 316022China College of Business Shaoxing UniversityShaoxingZhejiang 312000China College of Computer Science and Artificial Intelligence Wenzhou UniversityWenzhouZhejiang 325000China

This study presents an energy consumption(EC)forecasting method for laser melting manufacturing of metal artifacts based on fusionable transfer learning(FTL).To predict the EC of manufacturing products,particularly from scale-down to scale-up,a general paradigm was first developed by categorizing the overall process into three main *** operating electrical power was further formulated as a combinatorial function,based on which an operator learning network was adopted to fit the nonlinear relations between the fabricating arguments and ***-arranged networks were constructed to investigate the impacts of fabrication variables and devices on *** the interconnections among these factors,the outputs of the neural networks were blended and fused to jointly predict the electrical *** innovatively,large artifacts can be decomposed into timedependent laser-scanning trajectories,which can be further transformed into fusionable information via neural networks,inspired by large language ***,transfer learning can deal with either scale-down or scale-up forecasting,namely,FTL with scalability within artifact *** effectiveness of the proposed FTL was verified through physical fabrication experiments via laser powder bed *** relative error of the average and overall EC predictions based on FTL was maintained below 0.83%.The melting fusion quality was examined using metallographic *** proposed FTL framework can forecast the EC of scaled structures,which is particularly helpful in price estimation and quotation of large metal products towards carbon peaking and carbon neutrality.

关键词： Energy consumption forecasting Large metal artifacts Carbon peaking and carbon neutrality Laser powder bed fusion Fusionable transfer learning

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Self context-aware emotion perception on human-robot interaction

Self context-aware emotion perception on human-robot interac...

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2023 Australasian Conference on Robotics and Automation, ACRA 2023

作者： Lin, Zihan Cruz, Francisco Sandoval, Eduardo Benitez School of Computer Science and Engineering University of New South Wales Sydney Australia Escuela de Ingeniería Universidad Central de Chile Santiago Chile School of Art and Design Creative Robotics Lab University of New South Wales Sydney Australia

Emotion recognition plays a crucial role in various domains of human-robot interaction. In long-term interactions with humans, robots need to respond continuously and accurately, however, the mainstream emotion recognition methods mostly focus on short-term emotion recognition, disregarding the context in which emotions are perceived. Humans consider that contextual information and different contexts can lead to completely different emotional expressions. In this paper, we introduce self context-aware model (SCAM) that employs a two-dimensional emotion coordinate system for anchoring and re-labeling distinct emotions. Simultaneously, it incorporates its distinctive information retention structure and contextual loss. This approach has yielded significant improvements across audio, video, and multimodal. In the auditory modality, there has been a notable enhancement in accuracy, rising from 63.10% to 72.46%. Similarly, the visual modality has demonstrated improved accuracy, increasing from 77.03% to 80.82%. In the multimodal, accuracy has experienced an elevation from 77.48% to 78.93%. In the future, we will validate the reliability and usability of SCAM on robots through psychology experiments. © 2023 Australasian Robotics and Automation Association. All rights reserved.

关键词： Human robot interaction

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