• 제목/요약/키워드: Web Service Selection

검색결과 83건 처리시간 0.029초

실내디자인의 기호분석 프로그램 모듈에 관한 연구 - 아파트 주거공간을 중심으로 - (A Study on the Trends Analysis Program Module of Interior Design Based on Apartment)

  • 한영호;장중식
    • 한국실내디자인학회논문집
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    • 제34호
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    • pp.157-164
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    • 2002
  • Online business these days prone to approach their costumers with improved module and various interface via Internet. This is more than just an act of providing enhancement, but a mean of finding out the customer's demand by enlarging their selection. This, however, is related to the bits per second of supplemental service network.For example, supplemental services that were not possible in the 56K modem era are now possible due to the information super highway network. To grope for new means of approaching, the best way will be by developing media that will collect customer's demands. Until now, customer's demands were evaluated by miniatures of apartment building, model houses or rendered images produced by 3D graphic softwares and pictures. Analyses were not available until evaluation were produced.Nowadays, utilizing the advanced Internet interface tools and various new media, customers are sought before the construction thus various studies to full fill the customer's demands are in process. This study is on development of a virtual module utilizing activated web environment. Analysis modules repeating the changes in customers are expected to deliver us a new trend.

업종별 포탈 사이트의 효율적 정보제공을 위한 웹로봇 시스템 개발에 관한 연구 (Development of the web robot system for an efficient information delivery of portal sites classified by the business types)

  • 김광명;백상규;김선호
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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    • pp.98-104
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    • 2003
  • While the impact or internet on our everyday life keeps increasing, the internet users are turning toward the value added information only that suits their purpose instead of just wandering over a sea (pool) or information. Although it is easy to locate the information using various search engines. we still finds it time and cost consuming to update the existing information or to add similar Information. There are several portal sites managed by each industrial types or associations/organizations for the purpose or strengthening the competitiveness or small and medium-sized enterprises And currently, tremendous manpower and expenses are put into the selection and quality improvement or information to satisfy the needs toward the high qualify information by the specialized users in their fields collection and updating or the information is partially available manually during He period or budget allocation by the government it becomes problematic, however, to continue this service when the project expires. This report presents the system for the information collection, analysis and classification of portal sites operated for the special purposes and automatic upload to the proper sites. In addition. expression or web robots and application of robots and several information types are suggested which will eventually accomplish currency or information and automatic updates and addition or documents with the least expenses or maintenance.

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A novel classification approach based on Naïve Bayes for Twitter sentiment analysis

  • Song, Junseok;Kim, Kyung Tae;Lee, Byungjun;Kim, Sangyoung;Youn, Hee Yong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권6호
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    • pp.2996-3011
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    • 2017
  • With rapid growth of web technology and dissemination of smart devices, social networking service(SNS) is widely used. As a result, huge amount of data are generated from SNS such as Twitter, and sentiment analysis of SNS data is very important for various applications and services. In the existing sentiment analysis based on the $Na{\ddot{i}}ve$ Bayes algorithm, a same number of attributes is usually employed to estimate the weight of each class. Moreover, uncountable and meaningless attributes are included. This results in decreased accuracy of sentiment analysis. In this paper two methods are proposed to resolve these issues, which reflect the difference of the number of positive words and negative words in calculating the weights, and eliminate insignificant words in the feature selection step using Multinomial $Na{\ddot{i}}ve$ Bayes(MNB) algorithm. Performance comparison demonstrates that the proposed scheme significantly increases the accuracy compared to the existing Multivariate Bernoulli $Na{\ddot{i}}ve$ Bayes(BNB) algorithm and MNB scheme.

인터넷 상점에서 개인화 광고를 위한 장바구니 분석 기법의 활용 (Application of Market Basket Analysis to Personalized advertisements on Internet Storefront)

  • 김종우;이경미
    • 경영과학
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    • 제17권3호
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    • pp.19-30
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    • 2000
  • Customization and personalization services are considered as a critical success factor to be a successful Internet store or web service provider. As a representative personalization technique, personalized recommendation techniques are studied and commercialized to suggest products or services to a customer of Internet storefronts based on demographics of the customer or based on an analysis of the past purchasing behavior of the customer. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customers data. however, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed knowledge base. In this paper, we proposed a marketing rule extraction technique for personalized recommendation on Internet storefronts using market basket analysis technique, a well-known data mining technique. Using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store. An experiment has been performed to evaluate the effectiveness of proposed approach comparing with preference scoring approach and random selection.

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웹 미디어에 나타난 커스터마이저블 패션 브랜드의 유형 및 전략 연구 (A Study on the Types and Strategies of Customizable Fashion Brands on Web Media)

  • 이미숙;정경희
    • 패션비즈니스
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    • 제21권1호
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    • pp.134-147
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    • 2017
  • The purpose of this study is to analyze fashion brands' contents and characteristics of the participation platform of users, to assess the types and strategies of mass customization(MC). Most fashion brands sell one professional content: Shoes brands were the most common, followed by bags, unisex wear, and menswear. In consumer's design selection elements, changes in color and materials were the most common. For the personalization service elements, monogram service was the most common. The results of MC types analysis were as follows, Customized Standardization was the most common, followed by Tailored Customization, Pure Customization, and Segmented Standardization. For the types according to changes in products and expression methods, Cosmetic was the most common. And the classification according to modulation, Modularizers were the most common. For Creativity, brands in the making stage were the most common. For Flexibility, although brands different methods, high flexibility by modularizing design elements of products and accomplishing various design through participation. The Ease of use for various expression was generally high, parallel to Flexibility. For Durability, because consumers could receive end products only when they participated in the assembly stage in the on-line purchase, their continuous participation was not possible, so they participated only once. The typical types and strategy of MC were analyzed. The Customized Standardization type was the most common in shoes, bag, and womenswear brands. It was the Cosmetic type which could change colors and materials, the Modularizers, and had high Flexibility and Ease of use and low Durability.

스마트 빌딩을 위한 IoT 클라우드 플랫폼의 성능 평가 (Performance Evaluation of IoT Cloud Platforms for Smart Buildings)

  • 박정규;박은영
    • 한국산학기술학회논문지
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    • 제21권5호
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    • pp.664-671
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    • 2020
  • 스마트 빌딩 (Smart Building)은 사물 인터넷 (IoT; Internet of Things) 장치와 클라우드 서비스에서 모두 사용될 수 있는 응응 프로그램을 의미한다. 최근 Amazon, Google 및 Microsoft와 같은 클라우드 서비스 제공 업체는 IoT 장치에서 클라우드 애플리케이션 서비스를 제공할 수 있는 IoT 클라우드 플랫폼을 제공하고 있다. Postscapes에 따르면 최근에 152 개의 IoT 클라우드 플랫폼이 존재하고 있으며 스마트 빌딩 구현을 위해 하나를 선택하는 것은 어려운 문제이다. 본 논문에서는 실험을 위해서 마이크로소프트 Azure IoT 허브와 아마존의 AWS(Amazon Web Services) IoT를 선택하였다. 두 개의 IoT 클라우드 플랫폼을 선택하고 스마트 빌딩 관점에서 평가하였다. IoT 클라우드 플랫폼을 평가하기 위해 두 가지 다른 IoT 클라우드 플랫폼을 활용하였고, 일반적인 스마트 빌딩 시나리오를 가정하여 프로토타입을 구현하였다. 실험은 IoT 클라우드 플랫폼을 사용하여 시스템을 개발하는 과정에서 얻은 정보와 경험을 기반으로 수행하였다. 이 평가 결과는 스마트 빌딩을 위해 IoT 클라우드 플랫폼을 선택할 때 활용될 수 있다.

공공도서관의 진단적 평가와 대안모색 - 대구광역시를 중심으로 - (Diagnostic Evaluation and Alternative Plans of Public Libraries in Taegu Metropolitan City)

  • 윤희윤
    • 한국문헌정보학회지
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    • 제34권2호
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    • pp.47-67
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    • 2000
  • 본 연구는 대구광역시 공공도서관을 대상으로 로그-회귀분석에 의한 경영성과를 평가하고 대안을 모색하였다. 투입예산에 대한 산출효과(생산성)를 분석한 결과, 기울기(b)의 누적값(${\Sigma}b_n$)은 약 3.732이므로 지역주민에 대한 정보봉사력은 매우 낮은 것으로 밝혀졌다. 이에 대한 대안으로 도서관 정체성의 재정립, 최적의 입지선정과 증설, 예산배정 및 장서구성의 개선, 적정 인력의 확보와 조직개편, 웹환경의 최적화, 이용자봉사의 강화를 제시하였다.

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임베디드 시스템 기반의 자동화 시스템 제어와 웹 서비스 제어 기술 구현 (Implementation of Automation System Control and Web Service Control Technology Based on Embedded System)

  • 이광민;선복근;류제;이지현;임성락;한광록
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.1023-1024
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    • 2006
  • The present study purposed to design a system that enables the selection and the operation of OPC systems actively while allowing the use of legacy systems as they are. In addition, this study will design a standardized structure of information collected when using OPC protocol and, for this, use not only OPC-DA but also OPC-XMLDA to integrate data.

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PcMeter를 이용한 인터넷 접속을 측정 (Korean internet audience centric measurement : Internet index)

  • 이상경
    • 한국조사연구학회지:조사연구
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    • 제1권1호
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    • pp.125-134
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    • 2000
  • 인터넷 리서치의 과학성을 담보하기 위해서는 과학적 원칙과 절차를 지켜야 한다. 그 핵심은 표본추출에 있으며, 특히 자기선택오류를 범하지 않기 위한 방안이 모색되어야 한다. 먼저 인터넷센서스를 통해 네티즌의 분포와 변화상황를 주기적으로 체크하고 그에 준한 표본추출을 실시하여 패널을 구축한다. 구축된 패널에 PcMeter 를 장착케 하여 전송된 로그를 분석하여 제시하는 이를 인터넷 인덱스라한다.

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정보보호 안전진단 대상자 선정기준의 개선 연구 (An Enhancement on the Selection of Information Protection Security Diagnosis Target Firms)

  • 안연식;서정훈;장상수
    • 한국IT서비스학회:학술대회논문집
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    • 한국IT서비스학회 2008년도 춘계학술대회
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    • pp.572-577
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    • 2008
  • 정보보호 안전진단 제도는 정보보호 수준을 향상시키고 정보통신서비스의 안정성 및 신뢰성을 확보하기 위한 목적으로 2004년 7월부터 시행되었으나 일부의 안전진단 대상 사업자들은 본 제도에 대해 부정적이며, 대상 사업자 선정을 위해서 필요한 자료의 취득이 어려운 여건 등을 감안하여, 신뢰성있는 데이터에 기반하면서도 객관적이고 합리적으로 대상자를 선정하기 위한 기준이 필요하다. 본 연구에서는 관련 자료의 통계분석과 전문가의 의견을 취합하여 도출된 개선방안을 제안했는데, 주요내용은 정보통신서비스제공자와 집적시설사업자는 정보통신 매출액 50억 이상으로, 쇼핑몰 등 다중이용서비스 제공자는 개인정보 수집건수 200만명이상인 사업자를 안전진단 대상자로 선정하는 방안이다.

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