• Title/Summary/Keyword: Personal Information Recognition

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Particle Swarm Optimization Using Adaptive Boundary Correction for Human Activity Recognition

  • Kwon, Yongjin;Heo, Seonguk;Kang, Kyuchang;Bae, Changseok
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.6
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    • pp.2070-2086
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    • 2014
  • As a kind of personal lifelog data, activity data have been considered as one of the most compelling information to understand the user's habits and to calibrate diagnoses. In this paper, we proposed a robust algorithm to sampling rates for human activity recognition, which identifies a user's activity using accelerations from a triaxial accelerometer in a smartphone. Although a high sampling rate is required for high accuracy, it is not desirable for actual smartphone usage, battery consumption, or storage occupancy. Activity recognitions with well-known algorithms, including MLP, C4.5, or SVM, suffer from a loss of accuracy when a sampling rate of accelerometers decreases. Thus, we start from particle swarm optimization (PSO), which has relatively better tolerance to declines in sampling rates, and we propose PSO with an adaptive boundary correction (ABC) approach. PSO with ABC is tolerant of various sampling rate in that it identifies all data by adjusting the classification boundaries of each activity. The experimental results show that PSO with ABC has better tolerance to changes of sampling rates of an accelerometer than PSO without ABC and other methods. In particular, PSO with ABC is 6%, 25%, and 35% better than PSO without ABC for sitting, standing, and walking, respectively, at a sampling period of 32 seconds. PSO with ABC is the only algorithm that guarantees at least 80% accuracy for every activity at a sampling period of smaller than or equal to 8 seconds.

Development of a driver's emotion detection model using auto-encoder on driving behavior and psychological data

  • Eun-Seo, Jung;Seo-Hee, Kim;Yun-Jung, Hong;In-Beom, Yang;Jiyoung, Woo
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.3
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    • pp.35-43
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    • 2023
  • Emotion recognition while driving is an essential task to prevent accidents. Furthermore, in the era of autonomous driving, automobiles are the subject of mobility, requiring more emotional communication with drivers, and the emotion recognition market is gradually spreading. Accordingly, in this research plan, the driver's emotions are classified into seven categories using psychological and behavioral data, which are relatively easy to collect. The latent vectors extracted through the auto-encoder model were also used as features in this classification model, confirming that this affected performance improvement. Furthermore, it also confirmed that the performance was improved when using the framework presented in this paper compared to when the existing EEG data were included. Finally, 81% of the driver's emotion classification accuracy and 80% of F1-Score were achieved only through psychological, personal information, and behavioral data.

Personal Smart Mirror Using Open API (Open API를 활용한 개인용 스마트미러)

  • Sung Jin Kim;Jin Myung Choi;Nak Jun Choi;Dong Eun Lee;Da Eun Kim;Sung Jin Yun;Nak Jin Choi
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.109-112
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    • 2023
  • 본 논문에서는 정보화 시대의 바쁜 현대인들에게 일상생활 속 필요한 정보들을 거울과 IOT 기술을 접목하여 인포그래픽(inforgraphics) 형태로 제공하는 개인용 스마트 미러를 제작하였다. 제공되는 정보는 날짜 및 시간, 일정, 날씨, 뉴스 속보, 실시간 버스 도착 정보, 실시간 지하철 도착 정보가 있으며 Google Assistant SDK를 활용하여 시각적 정보제공의 한계를 개선하였다.

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Bi-directional LSTM-CNN-CRF for Korean Named Entity Recognition System with Feature Augmentation (자질 보강과 양방향 LSTM-CNN-CRF 기반의 한국어 개체명 인식 모델)

  • Lee, DongYub;Yu, Wonhee;Lim, HeuiSeok
    • Journal of the Korea Convergence Society
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    • v.8 no.12
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    • pp.55-62
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    • 2017
  • The Named Entity Recognition system is a system that recognizes words or phrases with object names such as personal name (PS), place name (LC), and group name (OG) in the document as corresponding object names. Traditional approaches to named entity recognition include statistical-based models that learn models based on hand-crafted features. Recently, it has been proposed to construct the qualities expressing the sentence using models such as deep-learning based Recurrent Neural Networks (RNN) and long-short term memory (LSTM) to solve the problem of sequence labeling. In this research, to improve the performance of the Korean named entity recognition system, we used a hand-crafted feature, part-of-speech tagging information, and pre-built lexicon information to augment features for representing sentence. Experimental results show that the proposed method improves the performance of Korean named entity recognition system. The results of this study are presented through github for future collaborative research with researchers studying Korean Natural Language Processing (NLP) and named entity recognition system.

A Study on the Impact of Employee's Person-Environment Fit and Information Systems Acceptance Factors on Performance: The Mediating Role of Social Capital (조직구성원의 개인-환경적합성과 정보시스템 수용요인이 성과에 미치는 영향에 관한 연구: 사회자본의 매개역할)

  • Heo, Myung-Sook;Cheon, Myun-Joong
    • Asia pacific journal of information systems
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    • v.19 no.2
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    • pp.1-42
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    • 2009
  • In a knowledge-based society, a firm's intellectual capital represents the wealth of ideas and ability to innovate, which are indispensable elements for the future growth. Therefore, the intellectual capital is evidently recognized as the most valuable asset in the organization. Considered as intangible asset, intellectual capital is the basis based on which firms can foster their sustainable competitive advantage. One of the essential components of the intellectual capital is a social capital, indicating the firm's individual members' ability to build a firm's social networks. As such, social capital is a powerful concept necessary for understanding the emergence, growth, and functioning of network linkages. The more social capital a firm is equipped with, the more successfully it can establish new social networks. By providing a shared context for social interactions, social capital facilitates the creation of new linkages in the organizational setting. This concept of "person-environment fit" has long been prevalent in the management literature. The fit is grounded in the interaction theory of behavior. The interaction perspective has a fairly long theoretical tradition, beginning with proposition that behavior is a function of the person and environment. This view asserts that neither personal characteristics nor the situation alone adequately explains the variance in behavioral and attitudinal variables. Instead, the interaction of personal and situational variables accounts for the greatest variance. Accordingly, the person-environment fit is defined as the degree of congruence or match between personal and situational variables in producing significant selected outcomes. In addition, information systems acceptance factors enable organizations to build large electronic communities with huge knowledge resources. For example, the Intranet helps to build knowledge-based communities, which in turn increases employee communication and collaboration. It is vital since through active communication and collaborative efforts can employees build common basis for shared understandings that evolve into stronger relationships embedded with trust. To this aim, the electronic communication network allows the formation of social network to be more viable to rapid mobilization and assimilation of knowledge assets in the organizations. The purpose of this study is to investigate: (1) the impact of person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) on social capital(network ties, trust, norm, shared language); (2) the impact of information systems acceptance factors(availability, perceived usefulness, perceived ease of use) on social capital; (3) the impact of social capital on personal performance(work performance, work satisfaction); and (4) the mediating role of social capital between person-environment fit and personal performance. In general, social capital is defined as the aggregated actual or collective potential resources which lead to the possession of a durable network. The concept of social capital was originally developed by sociologists for their analysis in social context. Recently, it has become an increasingly popular jargon used in the management literature in describing organizational phenomena outside the realm of transaction costs. Since both environmental factors and information systems acceptance factors affect the network of employee's relationships, this study proposes that these two factors have significant influence on the social capital of employees. The person-environment fit basically refers to the alignment between characteristics of people and their environments, thereby resulting in positive outcomes for both individuals and organizations. In addition, the information systems acceptance factors have rather direct influences on the social network of employees. Based on such theoretical framework, namely person-environment fit and social capital theory, we develop our research model and hypotheses. The results of data analysis, based on 458 employee cases are as follow: Firstly, both person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) and information systems acceptance factors(availability perceived usefulness, perceived ease of use) significantly influence social capital(network ties, norm, shared language). In addition, person-environment fit is a stronger factor influencing social capital than information systems acceptance factors. Secondly, social capital is a significant factor in both work satisfaction and work performance. Finally, social capital partly plays a mediating role between person-environment fit and personal performance. Our findings suggest that it is vital for firms to understand the importance of environmental factors affecting social capital of employees and accordingly identify the importance of information systems acceptance factors in building formal and informal relationships of employees. Firms also need to reflect their recognition of the importance of social capital's mediating role in boosting personal performance. Some limitations arisen in the course of the research and suggestions for future research directions are also discussed.

Conceptual Design of Crew Support System Based on Wireless Sensor Network and Power Line Communication for Cruise Ship (전력선통신(Power Line Communication) 기반 센서네트워크를 이용한 크루즈선 승무원 지원 시스템 개념연구)

  • Kang, Hee-Jin;Lee, Dong-Kon;Park, Beom-Jin;Paik, Bu-Geun;Cho, Seong-Rak
    • Journal of the Society of Naval Architects of Korea
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    • v.46 no.6
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    • pp.631-640
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    • 2009
  • The highest priority of the cruise trip is the safety and comfort of its passengers. Though the cruise lines take every appropriate measure to ensure that their Passengers are safe and experience enjoyable vacations it is hard to fulfill all passenger's personnel requirement with limited number of crews. Generally, each passenger is issued an identification card which contains their digital photo and personal identification information on a magnetic strip that he or she must present when entering or leaving the ship. This technology allows the ship to know which Passengers and crew members are on board and which are not. However, this system has some limitations of functions and usage. To support each passenger as his or her personal liking, additional number of crews or some kind of new system is needed. In this paper, the crew support system based on sensor network using wireless and wired communication technologies was studied. To design the system, PLC(Power Line Communication) system and ZigBee based passenger location recognition, classification system has studied experimentally. By using this system, crews can serve passengers more closely and personally with less effort.

Development of Non-Face-To-Face Heat Sensor Module for AI Automated Access Control System and Linkage with Education Program (AI 자동화 출입통제 시스템을 위한 비대면 발열 감지기 모듈 개발 및 교육 프로그램 연계)

  • Lee, Hyo-Jai;Kim, Eungsuk;Hong, Chang-Ho
    • Journal of Practical Engineering Education
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    • v.13 no.2
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    • pp.301-304
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    • 2021
  • In this study, we developed a module that can perform two functions at the same time through interworking between a personal recognition module and a heat detection module in the era of COVID-19. This can simultaneously solve the problem of compatibility of the personal recognition module that occurs in the existing system and the problem of secondary infection that can occur during congestion due to the separate implementation of heat detection. Therefore, in this study, NFC and Bluetooth motherboards were developed, and an array-type non-contact temperature sensor was applied to detect heat. The developed system is expected to be able to realize both access control of floating population and effective quarantine at the same time in public institutions or private companies that require AI automated access control. In addition, it is judged that it is possible to link the embedded programming and web programming implementation method using the module of the development system to the educational program.

A Study on the Variables of Clothing Consumer Behavior and Market: Literature Review (선행연구에 나타난 의복소비자 행동변인 및 시장 변인연구)

  • 박혜선
    • Journal of the Korean Society of Clothing and Textiles
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    • v.20 no.6
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    • pp.1125-1137
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    • 1996
  • The author reviewed seventy papers on social psychology of clothing and fashion marketing fields, which were published in the Journal of the Korean Society of Clothing and Textiles between 1983 and 1996. The market variables and consumer behavior variables were focused on. This review showed that the market variables had been divided into three groups of variables: 1) product variables (product image and product classification): 2) brand variables (brand image and brand positioning): and 3) store variables (store image, store type, and distribution system) Consumer behavior variables have been studied on the basis of EBM Consumer Behavior Model: 1) purchasing motivation as need recognition: 2) information using as search information: 3) evaluation criteria and choice criteria as alternative evaluatioin : 4) clothing purchase, brand choice and store choice as purchase: 5) degree of wear, satisfaction and dissatisfaction as outcome: and 6) clothing discard. Variables that influence on consumer behavior, including situation variables, clothing attitude variables, personal . social variables were added to develop a variable model of clothing consumer behavior using the EBM Consumer Behavior Model.

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Global Feature Analysis in On-Line Unconstrained Handwritten English Word Recognition (온라인 무제약 영어 필기 단어 인식을 위한 전역적 특성 분석)

  • 김재륜;하진영
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10c
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    • pp.393-395
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    • 1998
  • 온라인 문자인식에 대한 연구는 지난 30여년에 걸쳐 수행되었지만, 무제약 필기 단어 인식에 대한 연구는 활성화 된지가 오래되지 않은 실정이다. 필기자에 따른 다양한 서체의 변이와 방대한 탐색공간, 그리고 PDA(personal digital assistant)등의 제약된 계산 능력으로 인해 학문적으로는 좋은 연구결과가 나오고 있지만 실용화에는 아직도 해결해야 할 문제가 많다. 대부분의 온라인 문자 인식 시스템에서는 인식 시스템에서는 인식 시스템 자체의 성능만으로는 인식 성능의 한계가 있기 때문에 여러 가지 외부 지식을 사용한다. 그 중 대표적인 것이 단어 사전을 이용하는 것인데, 단어 사전의 크기를 미리 줄일 수 있다면 인식기의 성능이 좋아질 수 있다. 본 연구에서는 온라인 무제약 영어 필기 단어 인식을 위한 필기 데이터의 전역적 특성을 분석하고, 각각의 특성에 따른 사전 감축 비율과 오류에 대해 연구하고자 한다.

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An Empirical Study on the Factors Affecting the Acceptance of Wireless Internet Services (무선 인터넷 서비스 수용의 영향요인에 관한 연구)

  • Kim, In-Jai;Lee, Jung-Woo
    • Information Systems Review
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    • v.3 no.1
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    • pp.83-101
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    • 2001
  • Studies about wireless internet have been focused on technology issues and few studies were shown in the adoption of wireless internet services. This study uses Technology Acceptance Model in order to understand influencing factors in acceptance of wireless internet services. Reviewing by TAM related studies, this study regards the influencing factors as personal and social environmental dimensions in the case of wireless internet services, and these two factors are used. Two dependent variables-intention and current usage-are adopted for analyzing the effects of the two factors on two dependent variables via mediating variables. The results of this study show that age, frequency of mobile phone usage, occupation, and the recognition level of wireless internet services affected the intention and current usage of these services.

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