• Journal of Information Science Theory and Practice
• /
• v.5 no.3
• /
• pp.15-30
• /
• 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.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2012.10a
• /
• pp.153-158
• /
• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.10a
• /
• pp.798-799
• /
• 2016

Reagent Cabinet of existing that management does not classify the reagents by characteristics it has a problem that can result dangerous situations. Also, the situation impossible the ability to control the reagent cabinet from outside in the event of dangerous situations. In this paper, design a system for managing reagents it can be classified according to the characteristics and the reagent cabinet management on a mobile device. Utilizing the characteristics classification from first to sixth classification management to fit the classification of each reagent. The mobile device transmits the sensor control, reagent and sensor data monitoring, dangerous situation occurs when the alarm message. Accordingly, it is expected through the characteristics classification reduce accidents in the laboratory if the dangerous situation will be a prompt action from the outside.

• Journal of the Korean Home Economics Association
• /
• v.32 no.3
• /
• pp.159-170
• /
• 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.

• Journal of the Korean Society for Library and Information Science
• /
• v.38 no.3
• /
• pp.249-275
• /
• 2004

The purpose of this study is to assist librarians in developing a bibliographic tool for bibliotherapy practices. Bibliotherapy is a form of psychotherapy in which carefully selected leading materials are used to assist a subject in solving personal problems or for other therapeutic purposes. However, bibliotherapy has rarely been either studied or practiced in Korea For a bibliographic tool which is called 'situational leading list', a client situation has to be classified by the factors of biological. place and personal relations. type of stress or symptoms. This study, in this regard, examined related recent researches In the field of psychology or psychoanalysis. Main conclusions made in this study are summarized as follows : The most important factors to classify a client situation in a bibliographic tool are age, sometimes sex, home background, personal relations and mental health issues. This study also suggest the scheme of situation classification according to the decimal classification system. There are the general class, child class, teenager class, adult class and senior class in the classification system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.05a
• /
• pp.613-614
• /
• 2017

Recently, research on the automation of home IoT has been carried out in which IoT (Internet of Things) is applied inside the home. However, the conventional IoT automation system has a problem that the operation of the device is limited only by the threshold value of the sensor, so that the device may collide and interfere with each other and the efficiency of the Task is low due to the malfunction of the device. In this paper, we propose a Situation-specific task classification algorithm to solve these problems. Using the sensor threshold and the current date as classification values in the decision tree, the task according to the internal situation of the home is classified and the corresponding device is selected and proceeded. Therefore, it is expected that the users will be provided with a service that changes flexibly according to changes in the internal situation of the home, and the accuracy of the operation will be increased by reducing the malfunction of the device and the collision between the devices.

• Communications for Statistical Applications and Methods
• /
• v.16 no.4
• /
• pp.675-686
• /
• 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.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.16 no.2
• /
• pp.45-52
• /
• 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
• /
• 2008.02a
• /
• pp.605-608
• /
• 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.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.19 no.6
• /
• pp.857-865
• /
• 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.