• Title/Summary/Keyword: Context of Use

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Context-Awareness Service Modeling of Realtime Sensor Network using Enhanced Petri-Net (Enhanced Petri-Net을 이용한 실시간 센서 네트워크의 상황 정보 서비스 모델링)

  • Lee, Jae-Bong;Lee, Hong-Ro
    • Journal of Korea Spatial Information System Society
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    • v.12 no.1
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    • pp.28-36
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    • 2010
  • Some context is characterized by a single event in computing environment, but many other contexts are determined by a lot of things which occur with a space and a time. The Realtime Sensor Network context-awareness service that interacts with the physical space can have property such as time. A methodology that is specified the relationship between the contexts and the service needs to be developed to Realtime context-awareness deal with spatio-temporal. In this paper, we propose an approach which should include spatio-temporal property in the context model, and verify its effectiveness using enhanced Petri-Net. The context-awareness service modeling of Realtime Sensor Network is discussed the properties of model such as basic Petri-Net, patterned Petri-Net, or Spatio-temporal Petri-Net. The proposed methodology demonstrated using an example that is SAEMANGUEM warming watching system. The use of Spatio-temporal Petri-Net will contribute not only to develop the application but also to model the spatio-temporal context awareness.

Context Awareness Reasoning System for Personalized Services in Ubiquitous Mobile Environments (유비쿼터스 모바일 환경에서 개인화 서비스를 위한 상황인지 추론 시스템)

  • Moon, Aekyung;Park, Yoo-mi;Kim, Sang-gi;Lee, Byung-sun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.4 no.3
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    • pp.139-147
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    • 2009
  • This paper proposed the context awareness reasoning system to provide the personalized services dynamically in a ubiquitous mobile environments. The proposed system is designed to provide the personalized services to mobile users and consists of the context aggregator and the knowledge manager. The context aggregator can collect information from networks through Open API Gateway as well as sensors in a various ubiquitous environment. And it can also extract the place types through the geocoding and the social address domain ontology. The knowledge manager is the core component to provide the personalized services, and consists of activity reasoner, user pattern learner and service recommender to provide the services predict by extracting the optimized service from user situations. Activity reasoner uses the ontology reasoning and user pattern learner learns with previous service usage history and contexts. And to design service recommender easy to flexibly apply in dynamic environments, service recommender recommends service in the only use of current accessible contexts. Finally, we evaluate the learner and recommender of proposed system by simulation.

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Understanding "Authenticity" in Records Management: A Survey of Practitioners and Users

  • Park, Eun-Gyung
    • Journal of Korean Society of Archives and Records Management
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    • v.3 no.1
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    • pp.43-68
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    • 2003
  • This paper examines the concepts and language that practitioners actually use when talking about authenticity, which is one of the most significant concepts in archives, and explores how they in records and information management currently understand the construct of authenticity in their professional activities. This paper provides brief descriptive statistics drawn from a survey and then analysis related to providing authenticity; the difficulties of judging something authentic; and definitions of authenticity as used and understood in the context of respondents' professional activity. The analysis provides indications of how professionals actually understand and use the concept of authenticity in their professional work depending on the context; and how these professionals react differently to paper records and electronic records. The paper concludes with a discussion of how this preliminary analysis fits within the context of the outcomes of prior electronic records research.

Analyses of Security Issues for Internet of Things in Healthcare Application (헬스캐어 시스템에서의 사물 인터넷 통신을 위한 보안 문제 분석)

  • Shin, Yoon-gu;Kim, Hankyu;Kim, Sujin;Kim, Jung Tae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.699-700
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    • 2014
  • The use of Radio Frequency Identification technology (RFID) in medical context enables not only drug identification, but also a rapid and precise identification of patients, physicians, nurses or any other healthcare giver. The combination of RFID tag identification with structured and secured Internet of Things (IoT) solutions enables ubiquitous and easy access to medical related records, while providing control and security to all interactions. This paper defines a basic security architecture, easily deployable on mobile platforms, which would allow to establish and manage a medication prescription service in mobility context making use of electronic Personal Health Records. This security architecture is aimed to be used with a mobile e-health application (m-health) through a simple and intuitive interface, supported by RFID technology. This architecture, able to support secured and authenticated interactions, will enable an easy deployment of m-health applications. The special case of drug administration and ubiquitous medication control system, along with the corresponding Internet of Things context, is presented.

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A Framework for Internet of Things (IoT) Data Management

  • Kim, Kyung-Chang
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.3
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    • pp.159-166
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    • 2019
  • The collection and manipulation of Internet of Things (IoT) data is increasing at a fast pace and its importance is recognized in every sector of our society. For efficient utilization of IoT data, the vast and varied IoT data needs to be reliable and meaningful. In this paper, we propose an IoT framework to realize this need. The IoT framework is based on a four layer IoT architecture onto which context aware computing technology is applied. If the collected IoT data is unreliable it cannot be used for its intended purpose and the whole service using the data must be abandoned. In this paper, we include techniques to remove uncertainty in the early stage of IoT data capture and collection resulting in reliable data. Since the data coming out of the various IoT devices have different formats, it is important to convert them into a standard format before further processing, We propose the RDF format to be the standard format for all IoT data. In addition, it is not feasible to process all captured Iot data from the sensor devices. In order to decide which data to process and understand, we propose to use contexts and reasoning based on these contexts. For reasoning, we propose to use standard AI and statistical techniques. We also propose an experiment environment that can be used to develop an IoT application to realize the IoT framework.

CASMAC(Context Aware Sensor MAC Protocol) : An Energy Efficient MAC Protocol for Ubiquitous Sensor Network Environments (CASMAC(상황인식 센서 매체접근제어 프로토콜) : USN 환경을 위한 에너지 효율적 MAC 프로토콜)

  • Joo, Young-Sun;Jung, Min-A;Lee, Seong-Ro
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.11B
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    • pp.1200-1206
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    • 2009
  • In this paper, we propose an energy-efficient MAC(Medium Access Control) protocol for processing context information in ubiquitous sensor network environments. CASMAC(Context Aware Sensor MAC) use context information for energy-efficient operation and its operation principle is as follows. First, we make scenarios with possible prediction for CASMAC. And then we save setted context information in server. When event occur at specific sensor node, and then it send three times sample data to server. According to context information, server process sample data. If server process sample data with event, it receive continuous data from event occur node by a transmission request signal. And then server send data transmission stop signal to event occur node when it do not need to data. If server process sample data with no event, it have not reply. Through we make energy consumption tables and an energy consumption model, we simulate analysis of CASMAC performance. In a result, we gains about 5.7 percents energy reduction compared to SMAC.

The Relationship Between SNS and Firm's Brand Trust in B2B Context (B2B 거래환경에서 SNS 활용과 기업 브랜드 신뢰와의 관계)

  • Kim, Ji Hye;Lee, Won Jun;Kang, Youn Jung
    • Journal of Information Technology Services
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    • v.15 no.3
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    • pp.127-145
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    • 2016
  • This paper aims to investigate empirically how brand trust can be formed from the customer-brand relationship through a direct use of firm's SNS in B2B context. The brand trust is fundamental elements to understanding of long-term relationship in a B2B context. To achieve the objectives of this study, data collection is through a personally administered questionnaire, and a total of 180 questionnaires was collected from the buyer or supplier who frequently visited partner's firm SNS. Excluding missing data, 120 usable data were analyzed. From the results, first, three SNS motivations (i.e. Information, social and entertainment) has a positive impact on the perceived value of SNS (i.e. perceived usefulness and perceived enjoyment). Second, the perceived usefulness and perceived enjoyment positively affect customer-brand relationship (brand intimacy, brand attachment). Third, the customer-brand relationship is positively related to brand trust. Implications, limitations and future research directions of the study were also discussed. These findings help managers in developing and implementing the relation between SNS use and a customer-brand relationship for long-term relationship in B2B.

The Relation Between Temperament and Accumulated Cortisol Levels Among Toddlers Following Childcare Use (영아의 기질과 누적 코티솔 수준의 관계: 어린이집 이용 여부에 따른 차이)

  • Song, Ji-Na;Yi, Soon-Hyung
    • Korean Journal of Child Studies
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    • v.37 no.3
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    • pp.1-12
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    • 2016
  • Objective: This study aimed to examine the difference in toddlers' accumulated cortisol levels based on childcare experience in toddlerhood and the relationship between temperament and accumulated cortisol levels. Methods: Hair sample were collected for measure accumulated cortisol level in 87 toddlers. The Early Childhood Behavior Questionnaire (ECBQ) was used to measure temperament. Results: First, toddlers in childcare showed higher accumulated cortisol levels than in-home toddlers. Second, toddlers in childcare, exhibited a significant correlation between accumulated cortisol levels and surgency. Third, the accumulated cortisol levels of in-home toddlers exhibited a significant correlation with negative affect. In this research, there was significant range in the accumulated cortisol level according to childcare use, and the factors related to accumulated cortisol levels were different in each context. Conclusion: The results of this research support the "susceptibility to context of HPA axis" and imply a needed discussion about the effect of childcare experiences in toddlerhood.

A Study on the Meaning of Average Values and Its Teaching Statistics Area (통계 영역에서 대표값의 의미와 지도에 관한 고찰)

  • 박영희
    • School Mathematics
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    • v.3 no.2
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    • pp.281-294
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    • 2001
  • As a measure of the center of data, arithmetical mean, median, mode, harmonic mean and geometric mean are generally used. Students must learn qualitative aspect of average values as well as its calculation for its adequate use. As the result of the learning, they should be able to select the appropriate average value according to the characteristic of data and problem context. For this object, the historical origin and visual interpretation of average values were introduced in this paper. And to help teaching several meanings of average values, several examples including context were suggested.

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Intelligent Context-Aware System for Home Automation (홈 자동화를 위한 지능적인 상황인지 시스템)

  • Shin, Sang-Uk;Lim, Tae-Hun
    • The Journal of the Korea Contents Association
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    • v.7 no.4
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    • pp.74-82
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    • 2007
  • Context awareness using intelligent system is emphasized in order to provide automatic services in home automatic system. In this paper, we propose the intelligent context-aware system for home automation. To implement home automation, we first collect various events occuring in user's home, which are saved as a case form. We use the saved data as a training data of a neural network algorithm and then apply to intelligent context aware system for home automation. This system provide "right situations do right things" for user. Also this system has intelligent ability.