• 한국컴퓨터정보학회논문지
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• 제24권6호
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• pp.89-97
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• 2019

This study proposes a method for investigating current patents related to information communication technology and smart mobility to provide insights into future technology trends. The method is based on text mining clustering analysis. The method consists of two stages, which are data preparation and clustering analysis, respectively. In the first stage, tokenizing, filtering, stemming, and feature selection are implemented to transform the data into a usable format (structured data) and to extract useful information for the next stage. In the second stage, the structured data is partitioned into groups. The K-medoids algorithm is selected over the K-means algorithm for this analysis owing to its advantages in dealing with noise and outliers. The results of the analysis indicate that most current patents focus mainly on smart connectivity and smart guide systems, which play a major role in the development of smart mobility.

• 한국유기농업학회지
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• 제18권3호
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• pp.315-329
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• 2010

This study focused on analysis of the satisfaction level of specialty shops for environment-friendly agricultural products (EFAP). To analyze the satisfaction level of EF AP, a series of household surveys were conducted. Questionnaire was prepared on the basis of the SERVQUAL model and the structural equation modeling was made on the basis of the contents surveyed. The main results of this study are summarized as follows. Firstly, tangibles structured with store clearance, neat uniform, information and others is the factor of service quality satisfaction. Secondly, reliability structured with service practice, problem solving, and service in accurate time is the factor of service quality satisfaction. Thirdly, assurance structured with the reliability of employees, sufficient knowledge of employees, courteous and good manner is the factor of service quality satisfaction. Fourthly, responsiveness structured with prompt service, voluntary help, customer response service and the like is the factor of service quality satisfaction. Fifthly, the sympathy structured in interest for each customer, provision of service in time convenient to use, encountering the customers with genuine feeling are the factors of service quality satisfaction. And sixthly, the service satisfaction factors would influence on the consumer behavior factors.

• 한국정보과학회논문지:소프트웨어및응용
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• 제37권5호
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• pp.370-377
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• 2010

지능 로봇은 복잡하고 동적인 환경 내에서 상황의 변화에 적절히 적응하여 사용자에게 다양한 서비스를 제공하는 지능 시스템이다. 따라서 로봇은 행위를 수행하는 동안 지속적으로 상황의 변화를 감지하여 변화에 적절히 반응해야 하며 주어진 상황에 대해 최선의 행위를 결정하여 수행할 수 있어야 한다. 또한 때때로 임의의 행동을 결정하여 보다 지능적인 행위를 수행할 수 있어야 한다. 본 논문에서는 이러한 지능 로봇의 복잡한 행위를 효과적으로 정의하고 구현하기 위해 Structured Circuit Semantics(SCS)에 기초를 둔 프로그래밍 언어(Structured Programming for Reactive Intelligent Tasks, SPRIT)와 SPRIT으로 작성된 프로그램을 다양한 로봇 환경에서 실행하고 검증하기 위한 작업 실행기(Task Executor)를 제시한다.

• 한국재료학회지
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• 제17권8호
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• pp.433-436
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• 2007

Nano-structured polyaniline have been synthesized by interfacial polymerization method at room temperature. An aqueous solution of aniline in chloroform and another solution of ammonium peroxydisulfate in doping acid were prepared at different times terminated with methanol at room temperature. SEM, UV-vis were used to characterize the polyaniline with regard to their morphology and structure. The diameter and length of polyaniline can be controlled by the reaction time. Nano-structured polyaniline were found to have superior sensitivity for volatile organic compounds(VOCs). As the reaction time to increase from 30minute to 2hours the sensitivity were decreased to VOCs vapors. The sensitivity of Nano-structured polyaniline sensor appeared to VOCs better than the sensitivity of chemical synthesis sensors. The sensitivity of Nano-structured polyaniline sensor improved benzene vapors.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -1
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• pp.301-304
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• 2002

Recently, database technologies have been used commonly. But, ordinary technologies aren't suitable to construct a complicated database such as a classical literature database or an archaeological relic's database. Because this kinds of data are semi-structured data that doesn't have regular structures, database schema can't be defined before databases. We have proposed DREAM model for semi-structured databases. In this model, a database consists of five elements and the model has operations similar to operation of set theory. And further we have introduced dynamic schema "shape" showing structure of each element. We have already realized a prototype of DBMS adopting DREAM model (DREAM DBMS) and constructing function of shapes. However, shape is imperfect to describe database structures because it can't explain nested structures of elements. In this paper, we will profuse a "shape graph"that is dynamic schema showing database structures more exactly and extend the DREAM DBMS. Further we will evaluate the performance of constructing function of shapes and shape graphs.

• 재활간호학회지
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• 제10권1호
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• pp.29-36
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• 2007

Purpose: The purpose of this study was to identify the effects of structured information provided on self care knowledge, self care performance, and functional status. Method: The data were collected using self care knowledge and performance assessment tool, and functional status assessment tool from both group hospitalized patients at D hospital in Busan. Results: There was a significant improvement(p=.032) in self care knowledge in experimental group compared to the control group. But there were not improvement in self care performance and functional status in experimental group compared to the control group. But comparing to pretest and posttest in experimental group, There were significant improvement in self care performance (p=.003) and functional status(p=.013). Conclusion: Structured information provided showed increased in the degree of knowledge, self care performance, and functional status. But the effect size of program which had been developed in this study was estimated small, so there is needed to modify this program and to research repeatedly.

• 한국정보처리학회논문지
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• 제3권4호
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• pp.855-865
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• 1996

본 논문에서는 재사용가능한 소프트웨어 부품의 분류 과정을 자동화하여, 소프트 웨어 부품 라이브러리에 구조적으로 저장하는 방안을 제안한다. 효율적이고 자동화 된 소프트웨어 부품의 분류를 위하여 자연어로 기술된 소프트웨어 부품 설명서로부터 의미 정보와 문장 구성 정보 등의 특징을 획득하여 소프트웨어 부품의 특성을 표현하 는 패싯을 결정하고각각의 패싯에 해당하는 항목들을 자동으로 추출하여 소프트웨어 부품 식별자를 구성하였다. 그리고 분류된 소프트웨어 부품들 사이의 의미 유사도를 측정하여 비슷한 특성을 갖는 소프트웨어 부품들을 인접한 장소에 저장시켜 구조화된 소프트웨어 부품 라이브러리를 구축하였다. 제안한 방법은 소프트웨어 부품의 분류 과정이 간단하고, 유사한 소프트웨어 부품을 쉽게 식별할 수 있었으며, 또한 소프트 웨어 부품을 라이브러리에 구조적으로 저장할 수 있다.

• 제어로봇시스템학회논문지
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• 제19권12호
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• pp.1089-1093
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• 2013

Depth extraction using the structured illumination method is popularly applied since it has the benefit of measuring the object without contact. With multiple spatial frequencies and phase-shifting techniques, it is possible to extract the depth of objects with large discontinuity. For applications such as 3D (Three Dimensional) displays, 3D information of the object is required and is useful if corresponding to each view of the display. For this purpose, hypercentric optics is appropriate to measure the depth information of an object with a large field of view that is applicable for a 3D display. By experiment, we present the feasibility for phase-shifting profilometry using hypercentric optics to obtain the depth information of an object with the field of view appropriate for a 3D display.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권11호
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• pp.5321-5334
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• 2019

Data mining technology is frequently used in identifying the intention of users over a variety of information contexts. Since relevant terms are mainly hidden in text data, it is necessary to extract them. Quantification is required in order to interpret user preference in association with other structured data. This paper proposes rating and comments mining to identify user priority and obtain improved ratings. Structured data (location and rating) and unstructured data (comments) are collected and priority is derived by analyzing statistics and employing TF-IDF. In addition, the improved ratings are generated by applying priority categories based on materialized ratings through Sentiment-Oriented Point-wise Mutual Information (SO-PMI)-based emotion analysis. In this paper, an experiment was carried out by collecting ratings and comments on "place" and by applying them. We confirmed that the proposed mining method is 1.2 times better than the conventional methods that do not reflect priorities and that the performance is improved to almost 2 times when the number to be predicted is small.

• 제어로봇시스템학회논문지
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• 제16권4호
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• pp.381-390
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• 2010

This paper describes a procedure of the map-based localization for mobile robots by using a sensor fusion technique in structured environments. A combination of various sensors with different characteristics and limited sensibility has advantages in view of complementariness and cooperation to obtain better information on the environment. In this paper, for robust self-localization of a mobile robot with a monocular camera and a laser structured light sensor, environment information acquired from two sensors is combined and fused by a Bayesian sensor fusion technique based on the probabilistic reliability function of each sensor predefined through experiments. For the self-localization using the monocular vision, the robot utilizes image features consisting of vertical edge lines from input camera images, and they are used as natural landmark points in self-localization process. However, in case of using the laser structured light sensor, it utilizes geometrical features composed of corners and planes as natural landmark shapes during this process, which are extracted from range data at a constant height from the navigation floor. Although only each feature group of them is sometimes useful to localize mobile robots, all features from the two sensors are simultaneously used and fused in term of information for reliable localization under various environment conditions. To verify the advantage of using multi-sensor fusion, a series of experiments are performed, and experimental results are discussed in detail.