• Title/Summary/Keyword: human communication

Search Result 3,227, Processing Time 0.031 seconds

Automatic Construction of a Named Entity Dictionary for Named Entity Recognition (개체명 인식을 위한 개체명 사전 자동 구축)

  • Jeon, Wonpyo;Song, Yeongkil;Choi, Maengsik;Kim, Harksoo
    • Annual Conference on Human and Language Technology
    • /
    • 2013.10a
    • /
    • pp.82-85
    • /
    • 2013
  • 개체명 인식기에 대한 연구에서 개체명 사전은 필수적으로 필요하다. 그러나 공개된 개체명 사전은 거의 없기 때문에, 본 논문에서는 디비피디아의 데이터로부터 개체명을 효과적으로 추출하여 자동으로 구축할 수 있는 방법을 제안한다. 제안 방법은 엔트리의 '이름'과 '분류' 정보를 사용한다. 엔트리의 '이름'은 개체명으로 사용하고, 엔트리의 '분류'는 각 개체명 클래스와의 상호정보량을 계산하여 엔트리와 개체명 클래스 사이의 점수를 계산한다. 이렇게 계산된 점수를 이용하여 개체명과 개체명 클래스를 매핑한다. 그 결과 76.7%의 평균 정확률을 보였다.

  • PDF

Gestures as a Means of Human-Friendly Communication between Man and Machine

  • Bien, Zeungnam
    • Proceedings of the IEEK Conference
    • /
    • 2000.07a
    • /
    • pp.3-6
    • /
    • 2000
  • In this paper, ‘gesture’ is discussed as a means of human-friendly communication between man and machine. We classify various gestures into two Categories: ‘contact based’ and ‘non-contact based’ Each method is reviewed and some real applications are introduced. Also, key design issues of the method are addressed and some contributions of soft-computing techniques, such as fuzzy logic, artificial neural networks (ANN), rough set theory and evolutionary computation, are discussed.

  • PDF

The relationships among children's perceived parent-child communication style, stress coring behaviors and behavior problems. (아동이 지각한 부모-자녀간 의사소통 방식 및 스트레스 대처행동과 아동의 행동문제와의 관계)

  • Yang, Hyun-A;Yang, Young-Yae
    • Korean Journal of Human Ecology
    • /
    • v.13 no.6
    • /
    • pp.847-860
    • /
    • 2004
  • The purpose of this study is to obtain basic data needed to understand school-age children's parent-child communication style, stress coping behaviors, and child behavior problems. The subject of this study were 362 primary school children (the fourth and the sixth graders) and their mothers in "D" Metropolitan City, Korea. The research tools included standardized parent-child communication style scale (Min,l991), stress coping behaviors scale (Min,1998), and child behavior problems scale (Hun,l996). The data were analyzed using statistical techniques such as Mean, standard deviation, frequency, percentile, t-test, F-test, pearson's correlational analysis, stepwise regression analysis. In the relationship between child perceived parent-child communication style and stress coping behaviors, the children who make open communication with their parents demonstrate high problem-solving, support-seeking coping behavior. The children with closed communication with their parents have high hope expectation, revenge coping behavior. In the relationship between child perceived parent-child communication style and child behavior problem, the children making more closed communication with their parents show more behavior problems. The children with more closed communication with their mothers have more hyperactive behaviors, aggressive behaviors, and immature behaviors, and the children who are making more closed communication retain more anxious behaviors and withdrawn behaviors. In the relationship between child stress coping behaviors and behavior problems, the more problem-solving and support-seeking coping behaviors the children possess, the less problem behaviors they demonstrate. The more hope expectation, revenge coping behavior the children possess, the more problem behaviors they show. With the results above, we can find out that parent-child communication style has an effect on stress coping behavior, and parent-child communication style and stress coping behavior have an influence on child behavior problem.

  • PDF

Emotion Recognition Method for Driver Services

  • Kim, Ho-Duck;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • v.7 no.4
    • /
    • pp.256-261
    • /
    • 2007
  • Electroencephalographic(EEG) is used to record activities of human brain in the area of psychology for many years. As technology developed, neural basis of functional areas of emotion processing is revealed gradually. So we measure fundamental areas of human brain that controls emotion of human by using EEG. Hands gestures such as shaking and head gesture such as nodding are often used as human body languages for communication with each other, and their recognition is important that it is a useful communication medium between human and computers. Research methods about gesture recognition are used of computer vision. Many researchers study Emotion Recognition method which uses one of EEG signals and Gestures in the existing research. In this paper, we use together EEG signals and Gestures for Emotion Recognition of human. And we select the driver emotion as a specific target. The experimental result shows that using of both EEG signals and gestures gets high recognition rates better than using EEG signals or gestures. Both EEG signals and gestures use Interactive Feature Selection(IFS) for the feature selection whose method is based on the reinforcement learning.

Analysis of Human Activity Using Motion Vector and GPU (움직임 벡터와 GPU를 이용한 인간 활동성 분석)

  • Kim, Sun-Woo;Choi, Yeon-Sung
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.9 no.10
    • /
    • pp.1095-1102
    • /
    • 2014
  • In this paper, We proposed the approach of GPU and motion vector to analysis the Human activity in real-time surveillance system. The most important part, that is detect blob(human) in the foreground. We use to detect Adaptive Gaussian Mixture, Weighted subtraction image for salient motion and motion vector. And then, We use motion vector for human activity analysis. In this paper, the activities of human recognize and classified such as meta-classes like this {Active, Inactive}, {Position Moving, Fixed Moving}, {Walking, Running}. We created approximately 300 conditions for the simulation. As a result, We showed a high success rate about 86~98%. The results also showed that the high resolution experiment by the proposed GPU-based method was over 10 times faster than the cpu-based method.

Study On Customer Satisfaction of Dental Prosthetic Tooth Surgery by Human Bridge (휴먼브릿지 치아보철 시술결과에 대한 고객만족도 분석)

  • Kim, Kyung-Jin;Cho, Duk-Young
    • The Korean Journal of Health Service Management
    • /
    • v.4 no.1
    • /
    • pp.11-22
    • /
    • 2010
  • The purpose of this study is to approving the usefulness on Customer Satisfaction of Human Bridge. To achieve this purpose, we conduct a survey of 385 Customer to have a new operation analysis that so-called Human Bridge. The results of this study as follow. First of all, It's appeared that dependence on mass communication has a high level Because that Some 66% of the people surveyed say that they have Human Bridge operation by mass communication. Secondly, In case of satisfaction level connected with operation, some 66% of the respondents say that it is inconvenient or not at all in the Human Bridge operation and some 81% of the respondents say that it is very healthy or the same in the gum condition. On the other hand, Some 64% of the people surveyed say that it is inconvenient or extra comfortable in the masticate their's food well. Thirdly, In case of the level of teeth shaking, Some 90% of the people surveyed say that it is no change or small to contrast beginning, and in aesthetic satisfaction after operation, a surprising 93% of the people surveyed say that it is satisfaction.

Emotion Recognition Method using Gestures and EEG Signals (제스처와 EEG 신호를 이용한 감정인식 방법)

  • Kim, Ho-Duck;Jung, Tae-Min;Yang, Hyun-Chang;Sim, Kwee-Bo
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.13 no.9
    • /
    • pp.832-837
    • /
    • 2007
  • Electroencephalographic(EEG) is used to record activities of human brain in the area of psychology for many years. As technology develope, neural basis of functional areas of emotion processing is revealed gradually. So we measure fundamental areas of human brain that controls emotion of human by using EEG. Hands gestures such as shaking and head gesture such as nodding are often used as human body languages for communication with each other, and their recognition is important that it is a useful communication medium between human and computers. Research methods about gesture recognition are used of computer vision. Many researchers study Emotion Recognition method which uses one of EEG signals and Gestures in the existing research. In this paper, we use together EEG signals and Gestures for Emotion Recognition of human. And we select the driver emotion as a specific target. The experimental result shows that using of both EEG signals and gestures gets high recognition rates better than using EEG signals or gestures. Both EEG signals and gestures use Interactive Feature Selection(IFS) for the feature selection whose method is based on a reinforcement learning.

A Study on the Human Resource Management of the Specialty Contractors Performing Multi Projects -Focused on Rebar and Concrete Work- (멀티프로젝트를 수행하는 전문건설업체의 최적인력관리방안 기초연구 - 철근.콘크리트공사 중심으로 -)

  • Seo, Jong-Min;Na, Young-Ju;Kim, Sun-Kuk
    • Journal of the Korea Institute of Building Construction
    • /
    • v.8 no.5
    • /
    • pp.67-73
    • /
    • 2008
  • Recent trends in construction towards larger scale and taller buildings are causing problems by ineffective existing management approach in construction industry have emerged. Delivering necessary materials and mobilizing the human resources and equipment In a timely manner to keep labor on schedule have become a critical issue to be addressed. In particular, many specialty contractors carrying out multiple projects have been experiencing difficulties mobilizing the manpower on time and in right places due to poor communication at each stage of labor supply, resulting in waste of valuable resources. Hence, it's imperative for the specialty contractors to obtain specific information on labor demand so as to set up a communication and labor management system to ensure the right human resources will be mobilized in the right place at the right time. The study therefore is aimed at developing an optimal human resources management system for specialty contractors performing multiple projects. To that end, the study is focused on rebar and concrete work. The outcome of the study is expected to help allocate the right human resources to the right place in a timely fashion, thereby achieving an effective workflow at construction sites.

Analysis of Usage Types of K-pop Idol Avatar and Fandom Perception (케이팝 아이돌의 아바타 활용 유형 및 팬덤의 인식분석)

  • Bang, Eunjung;Wu, Sindy;Kim, Soyeon
    • Journal of Korea Multimedia Society
    • /
    • v.25 no.11
    • /
    • pp.1601-1612
    • /
    • 2022
  • As human brands, Idols, the central members of K-pop, are actively engaging in various industries based on the support of their fandoms, greatly impacting the national economy. In particular, due to the development of digital devices and technologies, they are active both online and offline, and idol avatars are a significant part of their activities across diverse contexts. Therefore, this study aims to categorize avatars used in various contexts and explore fandoms' perceptions according to each type. Based on case studies and literature review, idol avatar usage was categorized into products, supplier-led content, and interactive content, and accordingly, surveys and in-depth interviews were conducted. As a result, regardless of category, fandom showed a negative perception of idol avatar usage, as shown in the order of interactive content, supplier-led content, and products. Regarding human brand characteristics of idol avatars, attractiveness was evaluated higher than intimacy and likeability. However, the attachment to real-life idols showed a higher correlation with the characteristics of intimacy and likeability than attractiveness. This study is significant as it looked at the future directions of idol avatar usage by analyzing the fandoms' perception of avatar usage in the K-pop industry from a human brand perspective.

Human Genome Frames of Korean Press: The Analysis of Chosunilbo, Gukminilbo, and Hangurae Newspapers' Editorial and Column (한국신문의 유전자 연구 프레임 비교 분석: 조선일보, 국민일보, 한겨레신문을 중심으로)

  • Chung, Jae-Chorl
    • Korean journal of communication and information
    • /
    • v.25
    • /
    • pp.135-162
    • /
    • 2004
  • This paper deals with how Korean press constructs the study on human gene in the process to collect information add distribute them to readers by their ideological characteristics. By using frame analysis method, this paper analysis the reality construction of human gene's studies in critical insights and explores some alternatives for solving the social conflict around human gene's study. Based on the study results, this paper suggests that Korean press needs more positive role in establishing a public sphere in order to make a social consensus about ethical issues of human gene's studies.

  • PDF