• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2017.11a
• /
• pp.1271-1276
• /
• 2017

산업이 고도화되고 기술발전이 가속화되고 있지만, 생산현장에서의 사고와 재해는 아직까지도 지속적으로 발생하고 있다. 이는 시스템의 대규모화, 복잡화, 다양화 등에 따라 나타나는 불안전한 상태(unsafe condition)와 근로자의 안전불감증, 낮은 학습효과, 안전문화 비활성화 등을 포함하는 불안전한 행동(unsafe behavior)에 기인한다. 최근 4차 산업혁명이 대두되면서, 인간과 기계 시스템 사이의 상호작용이 활발해지고, 데이터 가용성과 알고리즘 우수성이 확보되면서, 산업현장에서도 시스템과 공정안전을 위해 최신 기술을 활용하려는 시도가 시작되고 있다. 궁극적으로는, 품질 관리, 고장분석, 작업환경관리, 보건관리 등 생산관리의 다양한 범위에 새로운 산업안전혁신을 가져올 것으로 기대된다. 본 논문에서는 사물인터넷, 드론, 인공지능 등 4차 산업혁명 시대의 하드웨어와 소프트웨어의 결합의 사례를 통해 안전한 생산현장은 물론 신뢰성할 수 있는 공공 및 사회를 위한 지능형 시스템 구축의 필요성을 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2013.11a
• /
• pp.1713-1715
• /
• 2013

최근 기계와 인간과의 소통을 위한 유저 인터페이스 기술에 대한 연구가 활발히 이루어지고 있으며, 특히 착용형 디바이스에 관한 연구에 집중되고 있다. 전통적인 UI가 갖는 부자연스러움과 응용프로그램과의 병목현상 발생에 대한 해결 방안으로 다양한 상호작용 요소를 포함하는 자연스러운 UI 기술이 제안 되고 있으며, UI 기술이 필수적인 착용형 디바이스와 함께 논의가 필요하다. 본 논문은 착용형 디바이스와 사용자 인터페이스 기술과 연구 동향에 대해 살펴보며, 이를 기반으로 착용형 디바이스의 핵심기술과 디바이스 형태별 UI 기술에 대해서 논의한다.

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.14 no.5
• /
• pp.28-35
• /
• 2015

This paper introduces a resistance scanning-type flexible tactile sensor for intelligent robots and presents the output characteristics of the sensor via signal processing. The sensor was produced via the lamination method using multi-walled carbon nanotubes (a conductive material), an insulator, and Tango-plus (an elastic material). Analog and digital signal processing boards were produced to analyze the output signal of the sensor. The analog signal processing board was made up of an integrator and an amplifier for signal stability, and the digital signal processing board was made up of an IIR filter for noise removal. Finally, the sensor output for the contact force was confirmed through experiments.

• Science of Emotion and Sensibility
• /
• v.12 no.4
• /
• pp.531-544
• /
• 2009

In the past, objective usability was one of the most important aspects when user used system. But nowadays user's subjective experiences are getting more critical element than objective usability in HCI(human-computer interaction). Most people own their mobile phone and use it frequently these days. It is especially important to make user's subjective experiences more positive when using devices like mobile phones people frequently carry and interact with. This study investigates whether the interfaces which express the emotion give more positive experiences to users. Researchers created mobile phone prototypes to compare the effect of mechanical melody feedback(the major auditory feedbacks on mobile phones) and emotional voice feedback(recorded human voice). Participants experienced four kinds of mobile phone prototypes(no feedback, mechanical melody feedback, emotional voice feedback and dual feedback) and evaluated their experienced usability, hedonic quality and preference. The result suggests that person's perceptional fun and hedonic quality were getting increased in the phone which gave the emotional voice feedback than the mechanical melody feedback. Nevertheless, the preference was evaluated lower in the emotional voice feedback condition than the others.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.18 no.4
• /
• pp.494-500
• /
• 2008

In the field of development of human interface technology, the interactions between human and machine are important. The research on emotion recognition helps these interactions. This paper presents an algorithm for emotion recognition based on personalized speech signals. The proposed approach is trying to extract the characteristic of speech signal for emotion recognition using PLP (perceptual linear prediction) analysis. The PLP analysis technique was originally designed to suppress speaker dependent components in features used for automatic speech recognition, but later experiments demonstrated the efficiency of their use for speaker recognition tasks. So this paper proposed an algorithm that can easily evaluate the personal emotion from speech signals in real time using personalized emotion patterns that are made by PLP analysis. The experimental results show that the maximum recognition rate for the speaker dependant system is above 90%, whereas the average recognition rate is 75%. The proposed system has a simple structure and but efficient to be used in real time.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.1
• /
• pp.517-524
• /
• 2024

Generative AI, exemplified by models like ChatGPT, has revolutionized human-machine interactions in the 21st century. As these advancements permeate various sectors, their intersection with the arts is both promising and challenging. Despite the arts' historical resistance to AI replacement, recent developments have sparked active research in AI's role in artistry. This study delves into the potential of AI in visual arts education, highlighting the necessity of swift adaptation amidst the Fourth Industrial Revolution. This research, conducted at a 4-year global higher education institution located in Gyeongbuk, involved 70 participants who took part in a creative convergence module course project. The study aimed to examine the influence of AI collaboration in visual arts, analyzing distinctions across majors, grades, and genders. The results indicate that creative activities with AI positively influence students' creativity and digital media literacy. Based on these findings, there is a need to further develop effective educational strategies and directions that incorporate AI.

• Korean Journal of Psychosomatic Medicine
• /
• v.7 no.2
• /
• pp.149-157
• /
• 1999

Food intake and body weight are determined by a complex interaction of regulatory pathways. Leptin, the product of the ob gene, is a recently discovered hormone secreted by adipocytes, that signals the amount of adipose tissue energy stores to the brain and exerts major effects on energy homeostasis and neuroendocrine function. In addition, leptin has recently been shown to affect reproductive function in rodents and humans. The study of leptin and its effectors in the hypothalamus may provide important insights with respect to the interplay of several hypothalamic neuropeptides in regulating feeding as well as the interaction of genetics and environment in the regulation of energy homeostasis. In this review we summarise the action of leptin in the regulation of food intake and highlight a working model of the effects of environmental factors on the leptin system.

• Journal of Intelligence and Information Systems
• /
• v.29 no.2
• /
• pp.23-34
• /
• 2023

Wearable technology for military applications has received considerable attention as a means of personal status check and monitoring. Among many, an implementation to recognize specific motion states of a human is promising in that allows active management of troops by immediately collecting the operational status and movement status of individual soldiers. In this study, as an extension of military wearable application research, a new ankle wearable device is proposed that can glean the information of a soldier on the battlefield on which action he/she takes in which environment. Presuming a virtual situation, the soldier's upper limbs are easily exposed to uncertainties about circumstances. Therefore, a sensing module is attached to the ankle of the soldier that may always interact with the ground. The obtained data comprises 3-axis accelerations and 3-axis rotational velocities, which cannot be interpreted by hand-made algorithms. In this study, to discern the behavioral characteristics of a human using these dynamic data, a data-driven model is introduced; four features extracted from sliced data (minimum, maximum, mean, and standard deviation) are utilized as an input of the model to learn and classify eight primary military movements (Sitting, Standing, Walking, Running, Ascending, Descending, Low Crawl, and High Crawl). As a result, the proposed device could recognize a movement status of a solider with 95.16% accuracy in an arbitrary test situation. This research is meaningful since an effective way of motion recognition has been introduced that can be furtherly extended to various military applications by incorporating wearable technology and artificial intelligence.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.2
• /
• pp.427-436
• /
• 2021

The purpose of this study is to implement a machine learning language model that learns literary texts. Literary texts have an important characteristic that pairs of question-and-answer are not frequently clearly distinguished. Also, literary texts consist of pronouns, figurative expressions, soliloquies, etc. They hinder the necessity of machine learning using literary texts by making it difficult to learn algorithms. Algorithms that learn literary texts can show more human-friendly interactions than algorithms that learn general sentences. For this goal, this paper proposes three text correction tasks that must be preceded in researches using literary texts for machine learning language model: pronoun processing, dialogue pair expansion, and data amplification. Learning data for artificial intelligence should have clear meanings to facilitate machine learning and to ensure high effectiveness. The introduction of special genres of texts such as literature into natural language processing research is expected not only to expand the learning area of machine learning, but to show a new language learning method.

• Archives of design research
• /
• v.14
• /
• pp.121-138
• /
• 1996

The purpose of this study is to develop a new architectural language and design strategies that would anticipate and incorporate new historical situations and new paradigms to understand the world. It consists of four sections as follows: First, it presents a new interpretation of space, human body, and movement that we find in modern art and tries to combine that new artistic insight with environmental design to provide a theoretical basis for performance-event architecture. Second, it conceives of architectural environment as a combination of space, movement, and probabilistic situations rather than a mere conglomeration of material. It also perceives the environment as a stage for performance and the act of designing as a performance. Third, in this context, man is conceived of as an organic system that responds to, interacts with, and adapts himself to his environment through self-regulation. By the same token, architecture should be a dynamic system that undergoes a constant transformation in its attempt to accommodate human actions and behaviors as he copes with the contemporary philosophy characterized by the principle of uncertainty, fast-changing society, and the new developments in technology. Fourth, the relativistic and organic view-point that constitutes the background for all this is radically different from the causalistic and mechanistic view that characterized the forms and functions of modernistic design. The present study places a great emphases on dematerialistic conception of environment and puts forth a disprogramming method that would accommodate interchangeability in the passage of time and the intertextuality of form and function. In the event, performance-event architecture is a strategy based on the systems world-view that would enable the recovery of man's autonomy and the reconception of his environment as an object of art.