• Journal of Information Science Theory and Practice
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• 제5권3호
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• pp.15-30
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• 2017

In some situations, you need information in order to solve a problem that has occurred. In information science, user needs are often described through very specific examples rather than through a classification of situation types in which information needs occur. Furthermore, information science often describes general human needs, typically with a reference to Maslow's classification of needs (1954), instead of actual information needs. Lexicography has also focused on information needs, but has developed a more abstract classification of types of information needs, though (until more recent research into lexicographical functions) with a particular interest in linguistic uncertainties and the lack of knowledge and skills in relation to one or several languages. In this article, we suggest a classification of information needs in which a tripartition has been made according to the different types of situations: communicative needs, cognitive needs, and operative needs. This is a classification that is relevant and useful in general in our modern information society and therefore also relevant for information science, including lexicography.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2012년도 추계학술대회 논문집
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• pp.153-158
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• 2012

Noise maps are produced according to 'The Method of making a Noise Map' in order to noise control efficiently, and prediction model to predict road traffic noise which may apply to Korean situation, include CRTN, RLS 90, NMPB, Nord 2000 and ASJ 2003. Of them, ASJ 2003, Japan's prediction model has not been verified for the application to Korean situation according to the classification of vehicle. In addition, ASJ 2003 was revised to ASJ 2008 recently, a classification for motorcycle was added. This study attempts to check the classification of vehicle in ASJ 2008 and 'The Method of making a Noise Map' to confirm the suitability of the application of them to Korean situation.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.798-799
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• 2016

기존의 시약장의 경우 시약들을 성상 별로 분류하지 않고 관리하게 되면 위험 상황이 발생할 수 있는 문제점이 있다. 또한 위험 상황 발생 시 외부에서 시약장을 제어할 수 있는 기능이 미비한 실정이다. 본 논문에서는 시약들을 관리하기 위해 성상 별로 분류하고 모바일 디바이스에서 시약장을 관리할 수 있는 시스템을 설계한다. 성상 분류를 통해 제 1류에서 제 6류까지 각 시약들을 분류에 맞게 관리하고 모바일 디바이스에서는 센서 제어, 시약 및 센서 데이터 모니터링, 위험 상황 발생 시 알람 메시지를 전송한다. 이로 인해 성상 분류를 통하여 연구실 내 사고를 줄이고 위험 상황 발생 시 외부에서도 신속한 대처가 가능할 것으로 사료된다.

• 대한가정학회지
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• 제32권3호
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• pp.159-170
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• 1994

A study on classification of attachment on the Strange Situation was conducted. 55 infants(27 boys and 28 girls) whose attachment to mothers were assessed in the Strange Situation when they were 14 to 20 moths old The analysis was made according to Ainsworth's classificatory system as well as Main & Solomon's. The results were summarized as follows: 43 infants were identified as secure attachment (Group B) 9 infants as insecure-avoidant(Group A) and 1 infant as insecure-resistant (Group C) There were 2 infants identified as insecure-disorganized/disoriented(Group D) In the sub-classification Group B infants were classified into B1(14 infants) B2(11 infants) and B3(18 infants) Group A infants were classified into 8 A1s and 1 A2 The Group C infant was identified as C1 and B4 were found. Finally because of the majority of infants as Group B, the association between sub-classifications and infan's sex and month was examined. the result indicated no signicant relations between them.

• 한국문헌정보학회지
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• 제38권3호
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• pp.249-275
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• 2004

본 연구는 독서치료의 기본적 도구인 상황별 독서목록의 기초적 요건에 관한 후속 연구이다. 상황별 독서목록을 작성하는데 필요한 상황을 설정하기 위하여 상담사린 공공도서관용 독서치료 목록집, 독서치료 관련 교육기관의 강의계획표 등을 조사하였다. 분석 결과에 따라 우리나라 사람들의 독서치료 상황을 설정하였으며, 이것을 십진 분류체계에 따라 정리하였다. 분류에 적용된 기준은 전편 논문에서 제시한 연령, 성별, 공간 및 관계이며, 소아용, 청소년용, 성인용, 노인용 상황분류 체계 안이 제시되었다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 춘계학술대회
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• pp.613-614
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• 2017

최근 가정 내부에 IoT(Internet of Things)를 적용시킨 홈 IoT의 자동화 관련 연구가 진행되고 있다. 그러나 기존 IoT 자동화 시스템은 기기 동작이 센서의 임계값만을 통해 진행되기 때문에 기기간 충돌 및 간섭이 발생할 수 있으며 기기의 오작동으로 인해 작업의 효율성이 낮은 문제점이 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 상황 별 작업 분류 알고리즘을 제안한다. 센서의 임계값과 현재 날짜를 의사결정트리의 분류 값으로 활용하여 가정 내부 상황에 따른 작업을 분류하고 그에 해당하는 기기를 선정하여 작업을 진행한다. 이에 따라 사용자는 가정 내부 상황 변화에 유동적으로 변화하는 서비스를 제공받을 수 있으며 기기 간 충돌과 기기의 오작동이 감소함으로써 작업의 정확도가 증대될 것으로 사료된다.

• Communications for Statistical Applications and Methods
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• 제16권4호
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• pp.675-686
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• 2009

In this paper, it will be assumed that there are two distinct populations which are multivariate normal with equal covariance matrix. We also assume that the two populations are equally likely and the costs of misclassification are equal. The classification rule depends on the situation when the training samples include missing values or not. We consider the bootstrap confidence intervals for classification error rate when a block of observation is missing.

• 디지털산업정보학회논문지
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• 제16권2호
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• pp.45-52
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• 2020

This paper is focused on the modulation scheme detection of the IEEE 802.11 standard. In the IEEE 802.11ac standard, the information of the modulation scheme is indicated by the modulation coding scheme (MCS) included in the VHT-SIG-A of the preamble field. Transmitting end determines the MCS index suitable for the low signal to noise ratio (SNR) situation and transmits the data accordingly. Since data field decoding can take place only when the receiving end acquires the MCS index information of the frame. Therefore, accurate MCS detection must be guaranteed before data field decoding. However, since the MCS index information is the information obtained through preamble field decoding, the detection rate can be affected significantly in a low SNR situation. In this paper, we propose a relatively robust modulation classification method based on deep learning to solve the low detection rate problem with a conventional method caused by a low SNR.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2008년도 정기총회 및 학술발표대회
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• pp.605-608
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• 2008

Storm and flood damage management systems in national disaster management system(NDMS) were organized into three operation systems. They are prevention, preparation, response, and recovery systems. Disaster resources in each system must be promptly and exactly applied to minimize casualties and loss of properties. However, the disaster resources in current management system can not be immediately used in calamity situation due to the lack of efficiency in statistical data. Therefore, it is necessary to classify the emergency restoration equipment for efficient management and mobilization of disaster resources in disaster situation. In this study, field survey was executed to appropriately classify the emergency restoration equipment. Problems and reformation points of the disaster resources system were also presented to improve the classification technique and to construct the data base.

• 한국의류학회지
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• 제19권6호
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• pp.857-865
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• 1995

The main purposes of this study were to find out the new classification system of the clothing evaluative criteria(CEC), 3nd to clear up the relationshiops of new classification system and the existing classification systems. For this purpose, the existing literatures related with the CEC(the classification system, and the variables) were investigated. The results of the study were as follows: 1. The existing classification systems were 'the intrinsic. non-intrinsic classification', 'the level classification', 'the purchase process classification' The new classification system of the CEC is based on 'the view-point of subjets'. The system was divided into the point of clothing itself, the wearer, the other, the wearing situation. The wearer's point of view is divided into the point of the value, and the physical characteristics of wearer 2. The image was included as the concept of the CEC, and the image classification could be suggested. 3. The relationships of the classification systems were as follows: $\circled1$ The intrinsic. non-intrinsic classification system included the level classification, the view-point classification, the image classification, and the buying process classificstion. $\circled2$ The level classification, the view.point classification, and the image classification were linked mutually, but the buying process classification is seperated from these classifications.