• Title/Summary/Keyword: User preferences

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A Comparative Study on Teacher-Student Perception of Forest Function in Elementary School (초등학교 내 학교숲 기능에 관한 교사 - 학생간 인식 비교 연구)

  • Kim, Jeong-Ho;Lee, Sang-Hoon;Yoon, Yong-Han
    • Journal of Environmental Science International
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    • v.27 no.7
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    • pp.519-529
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    • 2018
  • With rapid economic growth, the urban environment has created a problem of human physical and mental illness. In order to solve these problems, urban forests have emerged as a way to mitigate the environmental risks through improving the polluted environment of the city and improve the quality of life. As the urban forests have expanded, the school forests movement has also been taking an important place recently. The study focused on the performance of school forests by comparing the perceptions among teachers and students about their functions. The questionnaire was composed of 4 questions concerning human matters, 10 questions for space recognition, 4 questions for thermal environment, 2 questions for health promotion, and 20 total questions for composition of survey items. The reliability of the school forest function, number of tree planting areas and quantities, the harmony of the planting, and the satisfaction of the school forest were analyzed in the questionnaire conducted by the school members. Although it does not recognize school forests, it has a positive response to the green space that is built outdoors. It is considered that outdoor education and environmental education are sufficient in school forests and green spaces. The results showed that the outdoor green space was more satisfactory when compared with the general school. Teachers and students' preferences were similar to 'seasonal changes' and' trees of various colors and shapes'. The reliability analysis between each item shows that the coefficient for cronbach's ${\alpha}$ was .700 to .834. The purpose of this study is to identify the perception of forest function among school forest members and to utilize them as a basic data in the future.

A Study on User's Satisfaction of Water Space Design in Interior Landscape Architecture Space (실내조경 수공간의 이용만족도 요인 평가)

  • 진금해;최만봉;노재현
    • Journal of the Korean Institute of Landscape Architecture
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    • v.31 no.1
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    • pp.23-33
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    • 2003
  • The purpose of this study is to analyse six different factors of water space that influence interior landscape architecture of officers and commercial spaces. Six different factors of water space that influence interior landscape architecture are the height of the water space, the design form, the blending with the location environment, location, general satisfaction with the water space, and general satisfaction with whole space. The results of this study are as follows: 1. Water space of commercial space was bigger than office space. The satisfaction is the highest in 0∼0.6M(B2) of office space and 3.5M(C6) of commercial space. The cascade form in the office space and large water volume design in commercial areas, which supplies abundant sound and water volume, were the highest. 2. In the analysis of preferences, the design form and the general design of the office space influences satisfaction levels. The height of the water space, and a combination of other factors influence general satisfaction. Water space influences commercial areas in higher degrees. 3. The items were most desired or satisfactory for interior landscape architecture were a cascade, water fall, and small water fountain. 4. A place introduced with water space had higher satisfaction levels. Water space produces higher than general satisfaction and indicates water, space alone cannot make general interior space satisfactory, although it can make interior landscape architecture space satisfactory. 5. There is more general satisfaction in commercial space than in office space. 6. The design of water space influences overall satisfaction: a rest area of office space needs an impressive and aggressive approach, while the office space should harmonize with its surroundings, as a commercial space.

Overview and Performance Analysis of the Emerging Scalable Video Coding (스케일러블 비디오 부호화의 개요 및 성능 분석)

  • Choi, Hae-Chul;Lee, Kyung-Il;Kang, Jung-Woo;Bae, Seong-Jun;Yoo, Jeong-Ju
    • Journal of Broadcast Engineering
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    • v.12 no.6
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    • pp.542-554
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    • 2007
  • Seamless streaming of multimedia content via heterogeneous networks to viewers using a variety of devices has been a desire for many multimedia services, for which the multimedia contents should be adapted to usage environments such as network characteristics, terminal capabilities, and user preferences. Scalability in video coding is one of attractive features to meet dynamically changing requirements of heterogeneous networks. Currently a new scalable video coding (SVC) is standardizing in the Joint Video Team (JVT) of the ISO/IEC Moving Picture Experts Group (MPEG) and the ITU-T Video Coding Experts Group (VCEG), which will be released as Extension 3 of H.264/MPEG-4 AVC. In this paper, we introduce new technologies of SVC and evaluate performance of it especially regarding on overhead bit-rate and coding efficiency to support spatial, temporal, and quality scalability.

Web Service based Recommendation System using Inference Engine (추론엔진을 활용한 웹서비스 기반 추천 시스템)

  • Kim SungTae;Park SooMin;Yang JungJin
    • Journal of Intelligence and Information Systems
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    • v.10 no.3
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    • pp.59-72
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    • 2004
  • The range of Internet usage is drastically broadened and diversed from information retrieval and collection to many different functions. Contrasting to the increase of Internet use, the efficiency of finding necessary information is decreased. Therefore, the need of information system which provides customized information is emerged. Our research proposes Web Service based recommendation system which employes inference engine to find and recommend the most appropriate products for users. Web applications in present provide useful information for users while they still carry the problem of overcoming different platforms and distributed computing environment. The need of standardized and systematic approach is necessary for easier communication and coherent system development through heterogeneous environments. Web Service is programming language independent and improves interoperability by describing, deploying, and executing modularized applications through network. The paper focuses on developing Web Service based recommendation system which will provide benchmarks of Web Service realization. It is done by integrating inference engine where the dynamics of information and user preferences are taken into account.

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Efficient Route Determination Technique in LBS System

  • Kim, Sung-Soo;Kim, Kwang-Soo;Kim, Jae-Chul;Lee, Jong-Hun
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.843-845
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    • 2003
  • Shortest Path Problems are among the most studied network flow optimization problems, with interesting applications in various fields. One such field is the route determination service, where various kinds of shortest path problems need to be solved in location-based service. Our research aim is to propose a route technique in real-time locationbased service (LBS) environments according to user’s route preferences such as shortest, fastest, easiest and so on. Turn costs modeling and computation are important procedures in route planning. There are major two kinds of cost parameters in route planning. One is static cost parameter which can be pre-computed such as distance and number of traffic-lane. The other is dynamic cost parameter which can be computed in run-time such as number of turns and risk of congestion. In this paper, we propose a new cost modeling method for turn costs which are traditionally attached to edges in a graph. Our proposed route determination technique also has an advantage that can provide service interoperability by implementing XML web service for the OpenLS route determination service specification. In addition to, describing the details of our shortest path algorithms, we present a location-based service system by using proposed routing algorithms.

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A Classification of Medical and Advertising Blogs Using Machine Learning (머신러닝을 이용한 의료 및 광고 블로그 분류)

  • Lee, Gi-Sung;Lee, Jong-Chan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.730-737
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    • 2018
  • With the increasing number of health consumers aiming for a happy quality of life, the O2O medical marketing market is activated by choosing reliable health care facilities and receiving high quality medical services based on the medical information distributed on web's blog. Because unstructured text data used on the Internet, mobile, and social networks directly or indirectly reflects authors' interests, preferences, and expectations in addition to their expertise, it is difficult to guarantee credibility of medical information. In this study, we propose a blog reading system that provides users with a higher quality medical information service by classifying medical information blogs (medical blog, ad blog) using bigdata and MLP processing. We collect and analyze many domestic medical information blogs on the Internet based on the proposed big data and machine learning technology, and develop a personalized health information recommendation system for each disease. It is expected that the user will be able to maintain his / her health condition by continuously checking his / her health problems and taking the most appropriate measures.

A Case Study on Comparative Analysis of Four-digit Passwords Usage Type Before and After Using Smart phone (스마트폰 사용 전후 네 자리 숫자 비밀번호 사용형태에 관한 비교 연구)

  • Moon, Soog-Kyung
    • Journal of Convergence for Information Technology
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    • v.8 no.6
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    • pp.159-164
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    • 2018
  • This paper deals with the comparative analysis the two surveys called term1, term2 by collecting 4-digit password data 1313 for 2006~2011 and 2519 for 2012~ 2017. Numbers lacking prudence were significantly reduced in the term2 survey and over time, the use of four digit PWs became increasingly prudent. There was a difference in the use of digit numbers between male and female. The top five types accounted over 60%, which imply that certain types of preferences are present. It was the outcome of this paper that we can indirectly deduce these facts. Studies such as reuse of four digit PWs in user's convenience will need to be supplemented in the near future.

Users' Preference and Acceptance of Smart Home Technologies (사용자의 스마트 주거 기술 선호와 수용에 관한 연구)

  • Cho, Myung Eun;Kim, Mi Jeong
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.34 no.11
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    • pp.75-84
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    • 2018
  • This study analyzed users' acceptance and intention to use in addition to needs and preferences of smart home technologies, and identified the differences in technology preference and acceptance by different factors. The subjects were residents in the 40s and 60s residing in the Seoul or suburbs of Seoul, and questionnaires were conducted in the 40s while interviews with questionnaires were conducted in the 60s. A total of 105 questionnaires were used as data, and frequency, mean, crossover, independent sample t test, one-way ANOVA and multiple regression analysis were performaed using SPSS23. The results of this study are as follows. First, hypertension, hyperlipidemia and hypercholesterolemia were the most common diseases among respondents and if there was no discomfort, they would like to continue living in the homes of the current residence. Therefore, the direction of smart home development should support the daily living and health care so that residents can live a healthy life for a long time in their living space. Second, the technologies that residents most need were a control technology of residential environments and a monitoring technology of residents' health and physiological changes. The most preferred sensor types are motion sensors and speech recognition while video cameras have a very low preference. Third, technology anxiety was the most significant factor influencing intention to accept smart home technology. The greater the technology anxiety is, the weaker the acceptance of technology. Fourth, when applying smart residential technology in homes, various resident characteristics should be considered. Age and technology intimacy were the most influential variables, and accordingly there were differences in technology preference and acceptance. Therefore, a user-friendly smart home plan should be done in the consideration of the results.

Analysis of User Interface (UI) Color Design of Children's Education Game (아동 교육용 게임의 사용자 인터페이스(UI) 색채 디자인 분석)

  • Zheng, LingJing;Lee, Dong-Lyeor
    • Journal of Digital Convergence
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    • v.18 no.12
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    • pp.577-583
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    • 2020
  • The learning and cognition of preschool children begins with the color of the object, and the game interface is the child's first impression of the game, so reasonable color design is needed. This article selects 10 educational mobile game for preschool children, extracts colors from the game interface and startup icons, and puts them into Photoshop to analyze the three elements of color hue, lightness, and saturation. Finally, three suggestions are put forward for the color design of game UI. 1.Choose a color similar to the actual color of the thing. 2. Choose warm colors according to your child's preferences. 3. When using contrasting colors, please reduce the brightness or purity of the colors. It is hoped that the research conclusions can provide reference materials for the color design of educational game UI for preschool children.

Time-aware Item-based Collaborative Filtering with Similarity Integration

  • Lee, Soojung
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.7
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    • pp.93-100
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    • 2022
  • In the era of information overload on the Internet, the recommendation system, which is an indispensable function, is a service that recommends products that a user may prefer, and has been successfully provided in various commercial sites. Recently, studies to reflect the rating time of items to improve the performance of collaborative filtering, a representative recommendation technique, are active. The core idea of these studies is to generate the recommendation list by giving an exponentially lower weight to the items rated in the past. However, this has a disadvantage in that a time function is uniformly applied to all items without considering changes in users' preferences according to the characteristics of the items. In this study, we propose a time-aware collaborative filtering technique from a completely different point of view by developing a new similarity measure that integrates the change in similarity values between items over time into a weighted sum. As a result of the experiment, the prediction performance and recommendation performance of the proposed method were significantly superior to the existing representative time aware methods and traditional methods.