• Hwankyungkyoyuk
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• v.7 no.1
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• pp.18-29
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• 1994

This paper is to examine relative explaining power of socio-demographic variables, life style variables, environmental education, and environmental consciousness on the environmental behavior of housewives. Major results were as follows : As for life style, there different types such as socio-oriented, spare-life, fashion-oriented were examined. Spare-life style was most pervasive on Seoulite housewives. And spare-life style was emerged when housewives ages were old, education level was low, household income was low, hose type was Life-style were most influencing variables on environmental behavior. And environmental education was more powerful variables than environmental consciousness.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.744-747
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• 2008

Sensor networks will play an important role in the next generation pervasive computing. But its characteristic of wireless communication brings a peat challenge to the security measures used in the communication protocols. These measures are different from conventional security methods. In this paper, we proposed a security architecture for self-organizing mobile wireless sensor networks. It can prevent most of attacks based on intrusion detection.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.1543-1548
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• 2008

Ubiquitous technology is the trend towards increasingly ubiquitous, connected computing devices in the environment, a trend being brought about by a convergence of advanced electronic - and particularly, wireless - technologies and the internet. Ubiquitous technology is pervasive in nature and unobtrusively embedded in the environment, completely connected, intuitive, effortlessly portable, and constantly available. The object of this paper is to describe the strategy plan for Ubiquitous-Urban Transit Total Information System.

• TTA Journal
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• s.85
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• pp.138-148
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• 2003

본 고에서는 유비쿼터스, 퍼베이시브(pervasive), invisible computing 등 연구기관과 연구자 사이에서 서로 다르게 명명되는 용어를 퍼베이시브 컴퓨팅으로 통일하여 명명하였다. DARPA에서 지원하는 퍼베이시브 컴퓨팅 관련 미국 내 주요 대학의 프로젝트는 MIT의 Oxygen, UC Berkeley의 Endeavour, Washington 대학의 Portolano, Georgia Tech & OGI 의 Infosphere, CMU의 Aura 프로젝트 등이 있다. 산업체에서의 가장 대표적인 경우가 IBM의 Websphere 제품군과 HP의 Cooltown이라 할 수 있다. 본 고에서는 주요 대학들의 퍼베이시브 프로젝트들을 분석하였고, 퍼베이시브 컴퓨팅의 상업적인 모델인 IBM 제품들을 분석하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.421-423
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• 2004

본 논문은 홈 네트워크 상에서 존재 가능한 PC와 디지털 가전 기기(devices) 및 무선 기기들을 피어-투-피어(peer-to-Peer) 방식으로 네트워크의 연결성을 배어들게(pervasive) 하는 역할을 수행할 수 있는 UPnP(Universal Plug and Play. 이하 UPnP)의 구조를 분석하고 UPnP의 정의된 기능을 테스트하는 툴에 대한 연구로서, UPnP Device Architecture v1.0 표준 스팩(specification)에 따라 구현된 UPnP 미들웨어를 자동으로 테스트할 수 있도록 하는 방법과 UPnP테스트 툴의 구조를 제안한다.

• Therapeutic Science for Rehabilitation
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• v.7 no.3
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• pp.9-21
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• 2018

Objective : This systematic review aimed to evaluate the global literature on the effect of early intervention for preschool children with autism spectrum disorder (ASD). Methods : A literature search of the PubMed database identified 10 studies published up to December 2017, using the following search terms: autism, autism spectrum disorder, ASD, high-function autism, high-function ASD, Asperger syndrome, pervasive developmental disorder, PDDNOS, intervention, and early intervention. Results : Early intervention for children with ASD used Applied Behavior Analysis in 8 of the 10 selected studies. The other two studies used a Sensory Integration approach and Technology-based intervention. Most studies reported positive effects on communication skills, social interaction skills, intelligence, adaptive behavior, and improved attention through early intervention. Conclusions : These results suggested a basis for early intervention for children with ASD. Further research is needed to determine the effectiveness of early intervention.

• Journal of KIISE:Information Networking
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• v.32 no.2
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• pp.123-133
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• 2005

In recent years, service discovery is one of the major technologies of home networks which head for a pervasive computing environment. However, existing service discovery techniques are difficult to understand semantics, and they only provide syntactic level service matching. To solve these problems, we have designed and developed ontology for semantic service discovery. Our ontology could enrich the amount of devices and services representations with semantics, and the relation of devices and service could be efficiently described through primitive service. For representing context information of devices, we describe attributes of device including location information, device status and etc. To determine whether the developed ontology can be applied to service discovery systems, we have implemented a semantic service discovery system by extension of the existing Jini lookup service. Also, we have evaluated our ontology with associated software environment according to some experiment scenarios, and have proved the usefulness of our ontology-based semantic service discovery system.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.29 no.4
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• pp.178-184
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• 2018

Objectives: The objective of this study was to investigate the concordance of Diagnostic and Statistical Manual of Mental Disorders (DSM-IV and DSM-5) diagnostic criteria for autism spectrum disorder (ASD). Methods: We retrospectively reviewed the medical records of 170 subjects (age range: 3-23, 140 boys) with developmental delay or social deficit from January 2011 to July 2016 at the Department of Psychiatry of Asan Medical Center. The Autism Diagnostic Interview-Revised (ADI-R), the Autism Diagnostic Observation Schedule (ADOS), and intelligence tests were performed for each subject. Diagnosis was reviewed and confirmed for each subject with DSM-IV Pervasive Developmental Disorder (PDD) and DSM-5 ASD criteria, respectively. Results: Fifty-eight of 145 subjects (34.1%) who were previously diagnosed as having PDD in DSM-IV did not meet DSM-5 ASD criteria. Among them, 28 (48.3%) had Asperger's disorder based on DSM-IV. Most algorithm scores on ADOS and all algorithm scores on ADI-R were highest in subjects who met both DSM-IV PDD criteria and DSM-5 ASD criteria (the Convergent group), followed by subjects with a DSM-IV PDD diagnosis who did not have a DSM-5 ASD diagnosis (the Divergent group), and subjects who did not meet either DSM-IV PDD or DSM-5 ASD criteria (the non-PDD group). Intelligence quotient was lower in the Convergent group than in the Divergent group. Conclusion: The results of our study suggest that ASD prevalence estimates could be lower under DSM-5 than DSM-IV diagnostic criteria. Further prospective study on the impact of new DSM-5 ASD diagnoses in Koreans with ASD is needed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.3
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• pp.654-660
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• 2004

In this paper, we define that pervasive home network, which provides necessary services for user properties and removes distractions to improve the quality of human life. So, user can enjoy home network technology including devices and softwares at any place with no knowledge of networked home, devices, and softwares. In this home network, a mobile agent, called LAFA, can migrate to unfamiliar home network and control the necessary devices. For this environment, we design security management module for authenticating user and home server that access some other home networks, and for protecting text, multimedia data, and mobile agent that are transferred between home networks. The security management module is composed of a key exchange management module and an access control management module, for key exchange management module, we propose a key exchange protocol, which provides multimode of authentication mode and key exchange mode. One of these two modes is selected according to the data type.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.129-139
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• 2018

The crowdsourcing software development (CSD) is growing rapidly in the open call format in a competitive environment. In CSD, tasks are posted on a web-based CSD platform for CSD workers to compete for the task and win rewards. Task searching and assigning are very important aspects of the CSD environment because tasks posted on different platforms are in hundreds. To search and evaluate a thousand submissions on the platform are very difficult and time-consuming process for both the developer and platform. However, there are many other problems that are affecting CSD quality and reliability of CSD workers to assign the task which include the required knowledge, large participation, time complexity and incentive motivations. In order to attract the right person for the right task, the execution of action plans will help the CSD platform as well the CSD worker for the best matching with their tasks. This study formalized the task assignment method by utilizing different situations in a CSD competition-based environment in artificial intelligence (AI) planning. The results from this study suggested that assigning the task has many challenges whenever there are undefined conditions, especially in a competitive environment. Our main focus is to evaluate the AI automated planning to provide the best possible solution to matching the CSD worker with their personality type.