• Title/Summary/Keyword: Communication Action

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Autonomous Mobile Robot System based on a Fuzzy Artificial Immune System (퍼지 인공 면역망 시스템을 이용한 자율이동로봇 시스템)

  • Lee, Dong-Je;Choi, Young-Kiu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.11
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    • pp.2083-2089
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    • 2007
  • In this paper addresses the low-level behavior of fuzzy control and the high-level behavior selector for Autonomous Mobile Robots(AMRs) based on a Fuzzy Artificial Immune Network. The sensing information that comes from ultrasonic sensors is the antigen it, and stimulates antibodies. There are many possible combinations of actions between action-patterns and external situations. The question is how to handle the situations to decide the proper action. We propose a fuzzy artificial immune network to solve the above problem. and the computer simulation for an AMR action selector shows the usefulness of the proposed action selector.

Survey on Communication Algorithms for Multiagent Reinforcement Learning (멀티에이전트 강화학습을 위한 통신 기술 동향)

  • S.W. Seo;Y.H. Shin;B.H. Yoo;H.W. Kim;H.J. Song;S. Yi
    • Electronics and Telecommunications Trends
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    • v.38 no.4
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    • pp.104-115
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    • 2023
  • Communication for multiagent reinforcement learning (MARL) has emerged to promote understanding of an entire environment. Through communication for MARL, agents can cooperate by choosing the best action considering not only their surrounding environment but also the entire environment and other agents. Hence, MARL with communication may outperform conventional MARL. Many communication algorithms have been proposed to support MARL, but current analyses remain insufficient. This paper presents existing communication algorithms for MARL according to various criteria such as communication methods, contents, and restrictions. In addition, we consider several experimental environments that are primarily used to demonstrate the MARL performance enhanced by communication.

A Survey of Medical Students' Social Participation and Direction in Medical Education (사회참여에 관한 의과대학생의 인식 조사와 의학교육의 방향)

  • Lee, Song I;Chang, Dong-ho;Park, So Youn;Yoon, Tai Young;Kwon, Oh Young
    • Korean Medical Education Review
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    • v.20 no.2
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    • pp.103-111
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    • 2018
  • In the ever-changing medical environment, the social participation of medical doctors is becoming more necessary. Currently, there is not enough participation or action by doctors within our society due to reasons such as a lack of educational curriculum in this area. This study aimed to investigate medical students' opinions and attitudes about social participation and action. A total of 438 medical students were surveyed about their attitudes toward doctors' relations with the public, social participation, social action, and medical education for social participation or action. Regarding doctors' relations with the public, participants responded that the government (73.5%) and the media (82.0%) were causing social distrust of doctors, and more than 70% of the respondents answered that doctors were passive when it comes to social participation. When asked about social participation and social action, 76.7% of the students surveyed had experienced social participation, and 28.3% had experienced taking social action. A total of 73.4% of the students answered that medical education needs to be changed, and it is necessary to introduce subjects such as sociology and law to improve social participation and action. The results are significant in that they show medical students' thoughts on social participation and social action as doctors in the Fourth Industrial Revolution. We believe that a change of medical curriculum to promote active and collaborative social participation by doctors is necessary.

Image Based Human Action Recognition System to Support the Blind (시각장애인 보조를 위한 영상기반 휴먼 행동 인식 시스템)

  • Ko, ByoungChul;Hwang, Mincheol;Nam, Jae-Yeal
    • Journal of KIISE
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    • v.42 no.1
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    • pp.138-143
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    • 2015
  • In this paper we develop a novel human action recognition system based on communication between an ear-mounted Bluetooth camera and an action recognition server to aid scene recognition for the blind. First, if the blind capture an image of a specific location using the ear-mounted camera, the captured image is transmitted to the recognition server using a smartphone that is synchronized with the camera. The recognition server sequentially performs human detection, object detection and action recognition by analyzing human poses. The recognized action information is retransmitted to the smartphone and the user can hear the action information through the text-to-speech (TTS). Experimental results using the proposed system showed a 60.7% action recognition performance on the test data captured in indoor and outdoor environments.

A Study on the Effect of Conversing Action Learning in a Collaborative EFL Classroom (협력형 EFL 교실에서 실천학습 융합 효과에 관한 연구)

  • Shin, Myeong-Hee
    • Journal of the Korea Convergence Society
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    • v.10 no.7
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    • pp.71-76
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    • 2019
  • The purpose of this study is to investigate the effect of action learning methods and practices, which have a research focus on learner-centered teaching after training students to use collaborative learning practices from the viewpoint that the learners acquire English skills through peer correction activities based on sociocultural learning theory[1]. From March 1, 2018 to June 15, 2018, one control class and one experimental group were selected from the general freshman English courses. The experimental group attended classes centered on collaborative writing activities using action learning and cooperation techniques, and the control group attended classes lecture style and rote learning methods to teach writing. The result of study has shown that, for the experimental group, there have been statistically significant results in the production of writing, such as the number of words, the number of sentences, and sentence length. Learners could share the knowledge or ideas of others in their learning relationships with more regular basis.

Formal Semantics Based on Action Equation 2.0 for Python (작용식 2.0 기반 파이썬에 대한 형식 의미론)

  • Han, Jung Lan
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.6
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    • pp.163-172
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    • 2021
  • To specify a formal semantics for a programming language is to do a significant part for design, standardization and translation of it. The Python is popular and powerful, it is necessary to do research for a formal semantics to specify a static and dynamic semantics for Python clearly in order to design a similar language and do an efficient translation. This paper presents the Action Equation 2.0 that specifies a formal semantics for Python to change and update Action Equation. To measure the execution time for Python programs, we implemented the semantic structure specified in Action Equation 2.0 in Java, and prove through simulation that Action Equation 2.0 is a real semantic structure that can be implemented. The specified Action Equation 2.0 is compared to other descriptions, in terms of readability, modularity, extensibility, and flexibility and then we verified that Action Equation 2.0 is superior to other formal semantics.

The Design of Fault Tolerant PSTR Using Virtualization Techniques on the Embedded System (가상화 기술을 이용한 임베디드 시스템상의 고장감내 PSTR 설계)

  • Yoo, Jinho;Han, Kyujong
    • KIPS Transactions on Computer and Communication Systems
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    • v.3 no.12
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    • pp.443-448
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    • 2014
  • This paper is a study related to fault tolerant design based on PSTR using virtualization techniques. If the fault tolerant PSTR based on virtualization techniques is implemented the communication performance between primary and shadow will improves and monitoring function is easy to available about activities of primary and shadow. The legacy PSTR model is implemented in its hardware. The primary play a main role and shadow play a switched action when the errors occurrs in the primary. The switched action of shadow make it possible to restart the primary function newly. This paper implements fault tolerant primary-shadow model using virtualization techniques on the embedded environment.

Development of Intelligent CCTV System Using CNN Technology (CNN 기술을 사용한 지능형 CCTV 개발)

  • Do-Eun Kim;Hee-Jin Kong;Ji-Hu Woo;Jae-Moon Lee;Kitae Hwang;Inhwan Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.99-105
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    • 2023
  • In this paper, an intelligent CCTV was designed and experimentally developed by using an IOT device, Raspberry Pi, and artificial intelligence technology. Object Detection technology was used to detect the number of people on the CCTV screen, and Action Detection technology provided by OpenPose was used to detect emergency situations. The proposed system has a structure of CCTV, server and client. CCTV uses Raspberry Pi and USB camera, server uses Linux, and client uses iPhone. Communication between each subsystem was implemented using the MQTT protocol. The system developed as a prototype could transmit images at 2.7 frames per second and detect emergencies from images at 0.2 frames per second.

Breaking the Code of Silence: A Qualitative Exploration of Cyberbullying Through the Lens of Habermas's Theory of Communicative Action

  • January Febro, Naga;Joshua Isaguirre;Elanie Vizconde;Raymund Sison
    • Journal of Information Science Theory and Practice
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    • v.12 no.3
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    • pp.14-35
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    • 2024
  • This qualitative study explores cyberbullying among college students through Habermas's Theory of Communicative Action to examine the dissonance between online interactions and principles of rational discourse. Cyberbullying is a pervasive issue in digital communication that undermines logical, evidence-based conversation, fostering environments where misinformation, manipulation, and harm thrive. By analyzing case studies from three universities, the research identifies the characteristics, dynamics, and emotional impacts of cyberbullying on victims, highlighting the role of social media platforms in facilitating these negative interactions. The findings reveal significant challenges to authentic and equal online conversations, driven by power imbalances and a lack of genuine communication, leading to psychological distress, erosion of self-esteem, and changes in behavior among victims. The study underscores the potential of social media design and policy interventions to mitigate cyberbullying, emphasizing the need for educational programs, technological solutions, and community support to promote a safer, more respectful digital environment. Key themes include the dynamics of cyberbullying, the suppression of rational discourse, the psychological and emotional consequences of inauthentic communication, and strategies for resilience and recovery. The research contributes to understanding cyberbullying's complexities and suggests a multifaceted approach to addressing it, aligning with Habermas's ideal of communicative rationality to foster healthier online communities. Future research should further explore the intersection of technology design, user behavior, and regulatory policies to combat cyberbullying effectively.