• Journal of Korea Multimedia Society
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• v.6 no.2
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• pp.309-318
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• 2003

XML documents are widely used for exchanging information in the distributed computing environment. Here, actual information contained in the document can only be interpreted with the provision of a proper DTD. However, XML documents collected from the web nay not always be accompanied by corresponding DTD, so that it may not be easy to extract information from such sources. In this study, we reverse construct a DTD from DTU-unknown XML sources. We then use the DTD to extract information from XML inputs and to store it into the underlying DB. The DTD construction module developed is designed in such a way that, it scans input XML files in 1-path, where most other implementations use 2-path approach. The information extraction module provides clean Java programming interfaces as well, so that it can be easily integrated with other web applications.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.300-302
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• 2021

Usage of a face mask has become mandatory in many countries after the COVID-19. This paper described to develop a IoT based smart mask system for monitoring face mask. The system developed in this paper has two main units, a sensor module, and a smartphone application. The sensor module consists of four components: temperature and humidity sensor, a heart rate sensor, and a BLE chip. This components work as a unit to collect data and stream them through an I2C port over BLE to a connected mobile device. The smartphone application is an Android application developed for smart phones. It enables the Android device to communicate with the sensor to receive sensor data, process, store and display results.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.2 no.2
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• pp.113-124
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• 2004

A computer software program, called BIDAS (BIoassay Data Analysis Software) is developed to interpret the bioassay measurement data in terms of intakes and the committed effective dose using the human respiratory tract model (HRTM), gastrointestinal tract (GI-tract) model and biokinetic models currently recommended by the International Commission on Radiological Protection (ICRP) to describe the behavior of the radioactive materials within the body. The program consists of three modules; first, a database module to manage the bioassay data, second, another databasee module to store the predicted bioassay quantities of each radionuclide and finally, a computational module to estimate the intake and committed effective dose calculated with the bioassay quantity measurement values from either an acute or chronic exposure of the radionuclies within the body. This paper describes the features of the program as well as the quality assurance check results of the BIDAS software program.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.2926-2932
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• 2014

Smart Phone market consists of several platforms such as Windows Phone, Apple iOS and Android of Google. Each platform uses different coding style respectively. Platform-dependent application results in high cost and low code reusability during development of application. It also provides heterogeneous display forms to users. In this paper, we propose a platform-independent generic interface model that could be operated in both the various smart phones and PC. Because the proposed model provides the same UI on multiple platforms, users can operate applications without awkwardness. The model includes a module which copes with the changes of the resolutions in various platforms and a module which switches scenes of each application for performance improvement. Moreover, a module which connects DB is also proposed in order to overcome the difference of way to store data in each platform. The implementation results show that the difference of display and operating manner in any hetero-platform is eliminated.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.1
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• pp.178-202
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• 2012

In this paper, we first survey cross-layer architectures for Wireless Sensor Networks (WSNs) and Wireless Multimedia Sensor Networks (WMSNs). Afterwards, we propose a novel cross-layer architecture for QoS provisioning in clustered and multi-hop based WMSNs. The proposed architecture provides support for multiple network-based applications on a single sensor node. For supporting multiple applications on a single node, an area in memory is reserved where each application can store its network protocols settings. Furthermore, the proposed cross-layer architecture supports heterogeneous flows by classifying WMSN traffic into six traffic classes. The architecture incorporates a service differentiation module for QoS provisioning in WMSNs. The service differentiation module defines the forwarding behavior corresponding to each traffic class. The forwarding behavior is primarily determined by the priority of the traffic class, moreover the service differentiation module allocates bandwidth to each traffic class with goals to maximize network utilization and avoid starvation of low priority flows. The proposal incorporates the congestion detection and control algorithm. Upon detection of congestion, the congested node makes an estimate of the data rate that should be used by the node itself and its one-hop away upstream nodes. While estimating the data rate, the congested node considers the characteristics of different traffic classes along with their total bandwidth usage. The architecture uses a shared database to enable cross-layer interactions. Application's network protocol settings and the interaction with the shared database is done through a cross-layer optimization middleware.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.238-241
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• 2019

In this paper, a "Vehicle Analysis System(VAS) using cloud and data mining" is proposed that store all the sensor data measured in the vehicle in the cloud, analyze the stored data using the classification model, and provide the analyzed data in real time to the driver's display. The VAS consists of two modules. First, Sensor Data Communication Module(SDCM) stores the sensor data measured in the vehicle in a table of the cloud server and transfers the stored data to the analysis module. Second, Sensor Data Analysis Module(SDAM) analyzes the received data using the genetic algorithm and provides analyzed result to the driver in real time. The VAS stores sensor data collected in the vehicle in the cloud server without accumulating it in the vehicle, and stored data is analyzed in the cloud server, so that the sensor data can be quickly and efficiently managed without overloading the vehicle. In addition, the information desired by the driver can be visualized on the display, thereby increasing the stability of the autonomous vehicle.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.2
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• pp.347-355
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• 2012

A biometric hardware security module is a physical device that comes in the form of smartcard or some other USB type security token is composed with biometric sensor and microcontroller unit (MCU). These modules are designed to process key generation and electronic signature generation inside of the device (so that the security token can safely save and store confidential information, like the electronic signature generation key and the biometric sensing information). However, the existing model is not consistent that can be caused by the disclosure of an ID and password, which is used by the existing personal authentication technique based on the security token, and provide a high level of security and personal authentication techniques that can prevent any intentional misuse of a digital certificate. So, this paper presents a model that can provide high level of security by utilizing the biometric security token and Public Key Infrastructure efficiently, presenting a model for privacy preserving personal authentication that links the biometric security token and the digital certificate.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.31A no.3
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• pp.53-67
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• 1994

This paper describes the design of a high-level synthesis system. SODAS-VP. which automatically generates hardwares executing operation sequences in pipelined fashion.Target architecture and clocking schemes to drive pipelined datapath are determined, and the handling of pipeline hazards which degrade the performance of pipeline is considered. Partitioning of an operation into load, operation, and store stages, each of which is executed in partitiones control step, is performend. Pipelinecl hardware is generated by handling pipeline hazards with internal forwarding or delay insertion techniques in partitioning process and resolving resource conflicts among the partitioned control steps with similarity measure as a priority function in module allocation process. Experimental results show that SODAS-VP generates hardwares that execute faster than those generated by HAL and ALPS systems. SODAS-VP brings improvement in execution speed by 17.1% and 7.4% comparing with HAL and ALPS systems for a MCNC benchmark program, 5th order elliptical wave filter,respectively.

• Journal of the Korea Safety Management & Science
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• v.3 no.3
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• pp.165-174
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• 2001

Internet is a global network and it produces many terminologies involved in Electronic Commerce. Among many terms people very much talked about Cyber Shopping Mall. Under situation customers and sellers paid attention to Cyber Shopping Mall which is beyond time and space. This study deals with two subjects to enlarge the competitive power of Mall & Malls which is integration of multiple Cyber Shopping Mall. First subject is constructing the Automated Mall Wizard which is efficiently and effectively building Cyber Shopping Mall Site. And second subject is to differentiate from other shopping malls. Automated Mall Wizard is composed of three stages which are decomposed into several descriptive steps. And descriptive steps takes form of independent module, so it is considered to maximize Cyber Shopping Mall differentiation. Additional functions are making the goods category, related goods to be simultaneously ordered, price comparison with other sites within the Mall & Malls, best seller goods, store advertisement, substitutive goods, and mileage policy. As a result of that, we can respect SuperMall is better than other Mall & Mall as to diversity and flexibility of constructed Cyber Shopping Mall.

• Progress in Superconductivity and Cryogenics
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• v.3 no.2
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• pp.39-43
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• 2001

For several decades researches and development on superconducting magnetic energy storage(SMES) system have been done for efficient electric power management. Korea Electrotechnology Research Institute (KERI) have developed of a 1MJ , 300kVA SMES System for improving power quality in sensitive electric loads. It consists of an IGBT (Insulated Gate Bipolar Transistor) based power conversion module. NbTi mixed matrix conductor superconducting magnet and a cryostat with HTS current leads. We developed the code fro design of a SMES magnet. Which could find the parameters of the SMES magnet having minimum amount of superconductors for the same store denerby. and designed the 1 MJ SMES magnet by using it . And we have design and fabricated cryostat with kA class HTS current leads for a 1 MJ SMES System. This paper describes the design fabrication and test results for a 1MJ SMES System.