• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06b
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• pp.105-110
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• 1998

This paper proposes a method to manage individual information on large scale distributed geographic information systems. On such system, ordinary users usually cannot alter the contents of the server. The method proposed in this paper makes possible to alter the contents or add individual data onto such kinds of non-write-permitted data onto set. We call the method as GDSF, ‘geographic differential script file’. In this method, a client user makes a GDSF which contains the private information to be added onto the served data. Then, the client keeps the file on a local disk. After this, when the user uses the data, he applies the differential data sequence onto the down loaded data to restore the information. The GDSF is a collection of picture commands which tell pictures insertions, deletions, and modification operations. The GDSF also can contain the modification. The GDSF also can contain the modification of the attribute information of geographic entities. The method also applicable to modify data on a ROM device, for example CD-ROM or DVD-ROM. This paper describes the method and experimental results.

• Spatial Information Research
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• v.1 no.1
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• pp.7-16
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• 1993

Current computer technologies developing. our requirements are changing from simple alpha-numeric processing to graphic and image. spatial data processing which are easy for user to understand and use. Geographic information system is a kind of spatial database system that can not only print out the data in the form of maps but also manipulate. store. retrieve. and analyze the geographic data. It is efficient system that can process the spatial data which has a geographical feature and its relative attribute data. Conventional relational database management systems are not suitable for spatial data processing, so we need to design the spatial database mana-gement system which is suitable for efficient spatial data processing. In this paper we design the extended storage management system that supports the spatial index technique that allows user to access fast and store and manage the enormous spatial data efficiently like geographic information system.

• Smart Media Journal
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• v.9 no.4
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• pp.73-80
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• 2020

With the advent of the Internet era, consumer lifestyles have been changed tremendously, and mobile payment has carried out an increasingly extensive coverage of the people's life trajectory. Taking the design of the mobile payment interface as an example, we use a conjoint analysis method to survey college students in Guangxi, where questionnaires are collected from 270 people in different groups according to gender. The method separates the attributes that affect consumer choice of mobile payment interface design and the utility value of the attribute level to analyze consumer needs and preferences, and then obtains consumers' potential evaluation criteria for mobile payment interface design. The results of the study show that the attributes that influence consumers' choice of mobile payment interface design are, in order of preference: page layout, identification convenience, verification, module distribution, entertainment, and information encryption. Consumer groups of different genders show differences in their preferences in the mobile payment interface design and Consumer needs reflect consumer psychology. Several findings are obtained on the consumers' preferences on the mobile payment interface design, which may be used to improve future design processes.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.123-127
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• 2024

Cloud computing services has gained increasing popularity in recent years for supporting various on demand and scalable services for IT consumers where there is a need of less investment towards infrastructure. While storage architecture of cloud enjoys a more robust and fault-tolerant cloud computing network, such architecture also poses a number of security challenges especially when applied in applications related to social networks, Financial transactions, etc. First, as data are stored and maintained by individual virtual machines so Cloud resources are prone to hijacked. Such attacks allow attackers to create, modify and delete machine images, and change administrative passwords and settings successfully. hence, it is significantly harder to ensure data security. Second, Due to dynamic and shared nature of the Cloud, data may be compromised in many ways. Last but not least, Service hijacking may lead to redirect client to an illegitimate website. User accounts and service instances could in turn make a new base for attackers. To address the above challenges, we propose in this paper a distributed data access control scheme that is able to fulfil fine-grained access control over cloud data and is resilient against strong attacks such as compromise and user colluding. The proposed framework exploits a novel cryptographic primitive called attribute-based encryption (ABE), tailors, and adapts it for cloud computing with respect to security requirements

• Korean Institute of Interior Design Journal
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• no.28
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• pp.60-67
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• 2001

Built-up environments by humans are cultural byproducts which combine social ideology and architectural paradigm. The process of modernization in the Western countries has the characteristic of decisive paradgm based on materialism. Therefore, environmental design in modern world failed to focus on the essential features of humanity which are the subject of space and replaced it for objective and unilateral architectural environments, instead. Environment without supporting the human psychological and complicated behaviorism is as same as the hardware without the vitality. under these regards, this study will cover the design approach of pattern language as a design method of environment design. The purpose of design approach by pattern language lies in creating the space of flexibility, adaptability and strong vitality. It is summed up as humanization in space and it helps the user to verbalize individualized space language for their own. The range and method of in the study attribute to the pattern language of Christopher Alexander and a researcher' method on them. In premise that human behavior ought to the multilateral and indefinite under rapid change of circumstances in modern world, th study tried to find the design method stimulating creative behavior of human being.

• Spatial Information Research
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• v.11 no.1
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• pp.33-40
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• 2003

For effective management of information about establishment and repair of road and road facilities, we built GPS-Van mapping system that CCD Cameras, GPS receivers and INS are integrated and using it surveyed test area. Suggested a scheme that possible put acquired data into photo database systematically. Prototype of road facilities management system using the database shows us that extraction of qualitative information and management are possible through relation attribute information. And it raise cognitive faculty of user about objects using field photographs.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.2029-2032
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• 2004

The quantity of data were rapidly increased recently and caused the data overwhelming. This led to be difficult in searching the required data. The method of eliminating redundant data was needed. One of the efficient methods was Knowledge Discovery in Database (KDD). Generally data can be separate into 2 cases, continuous data and discrete data. This paper describes algorithm that transforms continuous attributes into discrete ones. We present an Improved Class Attribute Interdependence Maximization (ICAIM), which designed to work with supervised data, for discretized process. The algorithm does not require user to predefine the number of intervals. ICAIM improved CAIM by using significant test to determine which interval should be merged to one interval. Our goal is to generate a minimal number of discrete intervals and improve accuracy for classified class. We used iris plant dataset (IRIS) to test this algorithm compare with CAIM algorithm.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.419-424
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• 2006

We need the acquisition of accurate geographic information as well as immediate updates of information on the city in order to plan and manage the changes of the cities more systematically. The geographic information for judging the changes of the cities can be used not only in various policies and studies, but also as important data themselves that record the growth of cities. In this paper ore could build the GIS database with attribute data about the classification accuracy and the class and by providing the land cover map by each classification method according to the accuracy that the user requires, we could provide more reliable and various information.

• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.63-69
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• 1999

The purpose of this study is to develop Water Quality Management System(WQMS), which performs calculating pollutant discharge and forecasting water quality with water pollution model. Operational water quality management requires not only controlling pollutants but acquiring and managing exact information. A GIS software, ArcView was used to enter or edit geographic data and attribute data, and MapObject was used to customize the user interface. PCI, a remote sensing software, was used for deriving land cover classification from 20 m resolution SPOT data by image processing. WQMS has two subsystems, Database Subsystem and Modelling subsystem. Database subsystem consisted of watershed data from digital map, remote sensing data, government reports, census data and so on. Modelling subsystem consisted of NSPLM(NonStorm Pollutant Load Model)-SPLM(Storm Pollutant Load Model). It calculates the amount of pollutant and predicts water quality. This two subsystem was connected through graphic display module. This system has been calibrated and verified by applying to Mokhyun stream watershed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.7
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• pp.1569-1584
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• 2013

Ubiquitous interaction in a pervasive environment is the main attribute of smart spaces. Pervasive systems are weaving themselves in our daily life, making it possible to collect user information invisibly, in an unobtrusive manner by known and even unknown parties. Huge number of interactions between users and pervasive devices necessitate a comprehensive trust model which unifies different trust factors like context, recommendation, and history to calculate the trust level of each party precisely. Trusted computing enables effective solutions to verify the trustworthiness of computing platforms. In this paper, we elaborate Unified Trust Model (UTM) which calculates entity's trustworthiness based on history, recommendation, context and platform integrity measurement, and formally use these factors in trustworthiness calculation. We evaluate UTM behaviour by simulating in different scenario experiments using a Trust and Reputation Models Simulator for Wireless Sensor Networks. We show that UTM offers responsive behaviour and can be used effectively in the low interaction environments.