• Title/Summary/Keyword: IT-based

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The POI Model of individualization user central Intelligence Form based of WMS (WMS 기반의 개별 사용자 중심 지능형 POI 서비스 모델)

  • Nam, Haeng-Woo;Kang, Min-Sung;Kim, Bu-Rim;Kim, Eun-Young;Kim, Do-Hyeun;Lee, Sang-Jun
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.725-728
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    • 2006
  • Recently, It is gradually increasing about need of various information service based of Location that in compliance with rapidly development wireless internet terminal using the real-time location information at mobile environment. But existing information depends service provision method to information provider. so It is many insufficient tailorable information provision about user individuals each other propensity. For this, It need Service skill to provide easily information about tailorable POI(Point Of Interest) of user preference using information based of Location in mobile computing environment. Therefore In this paper, It is use information service based of location in mobile environment. So It analyzes POI information in compliance with propensity of user and It proposes to provide information about service model. It provides to follow individuals propensity analysis POI information service based of location in proposed model. so It provides actively more value information to user.

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An Empirical Study on Pricing Model for Software Operation (소프트웨어 운영 대가산정 방식에 대한 실증적 연구)

  • Kim, Heungshik;Kim, Choong Nyoung;Seo, Yongwon
    • Journal of Information Technology Services
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    • v.18 no.4
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    • pp.67-82
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    • 2019
  • The purpose of this study is to improve the calculation method of the software operation pricing proposed by the software business price calculation guide from 'input manpower method' to 'rate calculation method'. The software operation pricing of the input manpower method is not objectively calculated in the domestic IT outsourcing situation where the statistical data based on the activity based estimating is insufficient and it is decided by agreement between the owner and the client. In addition, there was no standard for adjusting the productivity according to the characteristics of the operation service. In order to improve this, an operational correction factor item that can affect the software operation productivity was selected based on foreign and domestic standards, and it was confirmed through the first questionnaire to IT operation managers. In order to determine the level of difficulty of the fixed operational correction factors, the operational correction factor using AHP technique was confirmed through a second questionnaire for pairwise comparison. The operational difficulty calculation table was developed with reference to COCOMO and ITIL standards. Finally, we propose a new pricing scheme that reflects the operating rate. Regression analysis was carried out by collecting the data of the domestic public institutions on the estimated cost and the actual cost calculated from the new rate method software operation pricing. The results of the regression analysis show that the estimated cost and the actual cost are related to each other. Mean magnitude of relative error(MMRE) and PRED[25] analysis were added for accuracy analysis. MMRE and PRED also showed satisfactory results, confirming the possibility of replacing the rate method software operation pricing.

Design and Implementation of Elevator Control and Information System based on Media Streaming Service (미디어 스트리밍 서비스 기반 엘리베이터 제어 및 정보 시스템 설계 및 구현)

  • Kim, Woon-Yong;Park, Seok-Gyu
    • Journal of Advanced Navigation Technology
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    • v.14 no.3
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    • pp.409-414
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    • 2010
  • Recently, It has enlarged various service requirements for the market of elevator with the environment of IT convergency. In this paper, we propose the information and control system of elevator based on media streaming service that is extended from the existing control system of an elevator. There is the service environments based on Internet for architecture of information communication in the framework of the suggested streaming service. We use this framework to operate and integrate the various services of elevator system. And also, we so apply to the user requirements easily that we can construct the smart elevator environment by convergence home network and various electronic devices based on IT.

aCN-RB-tree: Constrained Network-Based Index for Spatio-Temporal Aggregation of Moving Object Trajectory

  • Lee, Dong-Wook;Baek, Sung-Ha;Bae, Hae-Young
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.3 no.5
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    • pp.527-547
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    • 2009
  • Moving object management is widely used in traffic, logistic and data mining applications in ubiquitous environments. It is required to analyze spatio-temporal data and trajectories for moving object management. In this paper, we proposed a novel index structure for spatio-temporal aggregation of trajectory in a constrained network, named aCN-RB-tree. It manages aggregation values of trajectories using a constraint network-based index and it also supports direction of trajectory. An aCN-RB-tree consists of an aR-tree in its center and an extended B-tree. In this structure, an aR-tree is similar to a Min/Max R-tree, which stores the child nodes' max aggregation value in the parent node. Also, the proposed index structure is based on a constrained network structure such as a FNR-tree, so that it can decrease the dead space of index nodes. Each leaf node of an aR-tree has an extended B-tree which can store timestamp-based aggregation values. As it considers the direction of trajectory, the extended B-tree has a structure with direction. So this kind of aCN-RB-tree index can support efficient search for trajectory and traffic zone. The aCN-RB-tree can find a moving object trajectory in a given time interval efficiently. It can support traffic management systems and mining systems in ubiquitous environments.

Development of Service Use Cases and Business Models for 4G Mobile Communications Based on Device-to-Device Communications (단말기간 직접통신(Device-to-Device) 기반 4G 이동통신 서비스 발굴 및 비즈니스 모델 개발 방법론)

  • Oh, Seul-Ki;Ryu, Seung-Wan;Park, Sei-Kwon;Shin, Dong-Cheon;Kim, Yi-Kang
    • Journal of Information Technology Services
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    • v.11 no.2
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    • pp.339-353
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    • 2012
  • Mobile communication technology is advancing forward to deliver more connected devices and richer content and applications. The number of subscriptions continues to grow along with an explosive increase in the mobile data traffic demand. Thereby, it creates a significant network capacity shortage concerns for mobile network operators. In order to address this problem, it is essential to increase the network capacity at a low additional cost. The device-to-device (D2D) communication based proximity service is believed to have a promising future mobile communication technology that is capable to create new mobile service opportunities and offload traffic to the eNB. In addition, it is also required to develop new mobile communication services and its business models not only to accommodate the increasing mobile traffic demand but also to foster profitability of mobile business service providers such as the network providers, contents providers and platform providers. In this article, we first analyze current mobile business eco-system in the context of CPNT based value chain. Then, propose service development framework and business model creation methodologies for the device-to-device communication based services in the beyond LTE/LTE-Advanced systems.

Experimental Evaluation of Distance-based and Probability-based Clustering

  • Kwon, Na Yeon;Kim, Jang Il;Dollein, Richard;Seo, Weon Joon;Jung, Yong Gyu
    • International journal of advanced smart convergence
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    • v.2 no.1
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    • pp.36-41
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    • 2013
  • Decision-making is to extract information that can be executed in the future, it refers to the process of discovering a new data model that is induced in the data. In other words, it is to find out the information to peel off to find the vein to catch the relationship between the hidden patterns in data. The information found here, is a process of finding the relationship between the useful patterns by applying modeling techniques and sophisticated statistical analysis of the data. It is called data mining which is a key technology for marketing database. Therefore, research for cluster analysis of the current is performed actively, which is capable of extracting information on the basis of the large data set without a clear criterion. The EM and K-means methods are used a lot in particular, how the result values of evaluating are come out in experiments, which are depending on the size of the data by the type of distance-based and probability-based data analysis.

Development of Real-time Environment Monitoring System Using 3G Integrated Environmental Sensors Based on AWS (AWS기반 3G 통합환경센서 모듈을 이용한 실시간 환경 모니터링 시스템 개발)

  • Chun, Seung-Man;Lee, Seung-Jun;Yun, Jang-Kyu;Suk, Soo-Young
    • IEMEK Journal of Embedded Systems and Applications
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    • v.13 no.2
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    • pp.101-107
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    • 2018
  • As indoor pollutants such as carbon dioxide and dust mainly affect the respiratory and circulatory systems, there is an increasing need for real-time indoor / outdoor environmental monitoring. In this paper, we have developed a real - time environmental monitoring system using the cloud-based 3G integrated environmental sensor module for environmental monitoring. A highly reliable environmental information monitoring system requires various IT technologies such as infrastructure (server, commercial software, etc.), service application software, security, and authentication. A real-time environment monitoring system based on cloud service that can provide reliable service satisfying these configuration requirements is proposed and implemented. It is expected that this system can be applied to various technologies such as indoor automatic window opening/closing system based on the Internet.

A Study on the Effectiveness of Small-scale Maps Production Based on Tolerance Changes of Map Generalization Algorithm (지도 일반화 알고리듬의 임계값 설정에 따른 소축척 지도 제작의 효용성 연구)

  • Hwakyung Kim;Jaehak Ryu;Jiyong Huh;Yongtae Shin
    • Journal of Information Technology Services
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    • v.22 no.5
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    • pp.71-86
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    • 2023
  • Recently, various geographic information systems have been used based on spatial information of geographic information systems. Accordingly, it is essential to produce a large-scale map as a small-scale map for various uses of spatial information. However, maps currently being produced have inconsistencies between data due to production timing and limitations in expression, and productivity efficiency is greatly reduced due to errors in products or overlapping processes. In order to improve this, various efforts are being made, such as publishing research and reports for automating domestic mapping, but because there is no specific result, it relies on editors to make maps. This is mainly done by hand, so the time required for mapping is excessive, and quality control for each producer is different. In order to solve these problems, technology that can be automatically produced through computer programs is needed. Research has been conducted to apply the rule base to geometric generalization. The algorithm tolerance setting applied to rule-based modeling is a factor that greatly affects the result, and the level of the result changes accordingly. In this paper, we tried to study the effectiveness of mapping according to tolerance setting. To this end, the utility was verified by comparing it with a manually produced map. In addition, the original data and reduction rate were analyzed by applying generalization algorithms and tolerance values. Although there are some differences by region, it was confirmed that the complexity decreased on average. Through this, it is expected to contribute to the use of spatial information-based services by improving tolerances suitable for small-scale mapping regulations in order to secure spatial information data that guarantees consistency and accuracy.

Using evidence-based medicine in terms of practical insurance medicine (보험의학 실무 영역에서 근거중심의학적 접근 방법)

  • Lee, Sinhyung
    • The Journal of the Korean life insurance medical association
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    • v.32 no.1
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    • pp.8-14
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    • 2013
  • Evidence-based medicine(EBM) or evidence-based health care has been used in clinical medicine. Recently, it also has been applied to areas of social medicine such as independent medical examination. Insurance medicine is one of social medicine, as for it's role is maintenance of sound insurance system or for insured of life insurance. Practical application of EBM to the insurance medicine are; confirming question, finding evidence, and evaluation that selected evidence is best or not in terms of practical aspect.

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Failure Prediction Reliability Model based on the Condition-based Maintenance (CBM기반의 고장 예측 신뢰성 모델)

  • 김연수;정영배
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.52
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    • pp.171-180
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    • 1999
  • Industrial equipment reliability improvement and maintenance is gaining attention as the next great opportunity for manufacturing productivity improvement. Reactive maintenance is expensive because of extensive unplanned downtime and damage to machinery. To avoid such an unplanned machine downtime, it is needed to use proactive maintenance approach by either using historical maintenance data or by sensing machine conditions. This paper discusses failure diagonosis and prediction based on the condition-based maintenance and reliability technique. Thus, by enabling such a framework, it can bring us more efficient planning and execution of maintenance to reduce costs and/or increase profits.

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