• Journal of Food Hygiene and Safety
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• v.33 no.1
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• pp.44-49
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• 2018

As generic health functional food items have been expanded, this research project has been conducted to prepare a scientific and systematic standardized analytical method of relevant food item and examine the suitability of the method for health/functional foods on sale. Total polyphenol was necessary for development and verification of standardized analytical method. The method exhibited high linearity in the tannic acid calibration curve ($r^2$ > 0.999) over concentrations of $5-50{\mu}g/mL$. The limits of detection and quantitation for tannic acid were $5{\mu}g/mL$ and $15{\mu}g/mL$, respectively, while tannic acid recovery was 102.3-112.4% with standard deviations of 0.8-3.2%. To verify the accuracy of the analytical method, the labeled amounts of purchased health functional foods were monitored. The recovery for tannic acid was 105.6% of the labeled amounts. Thus, the new method was suitable for all cases.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.37 no.4
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• pp.359-366
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• 2009

MATLAB Autocode generation is a feature that converts a block diagram model in Simulink to a c program. Utilizing this function makes MATLAB/Simulink an integrated developing environment, from controller design to implementation. It can reduce development cost and time significantly. However, this automated process requires high reliability on the software, especially the original Simulink block diagram model. And thus, the verification of the codes becomes important. In this study, a UAV flight program which is generated with Simulink is validated and modified according to DO-178B. As a result of applying the procedures, the final program not only satisfied the functional requirement but is also verified with structural point of view with Decision Coverage 93%, Condition Coverage 95% and MC/DC 90%.

• 한국신재생에너지학회:학술대회논문집
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• 2010.11a
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• pp.75.1-75.1
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• 2010

This research presents a fuel cell simulator for control logic verification and operator training. Nowadays, power industries are focusing on clean energy as a response to new policy. The fuel cell can be the solution for clean energy, but operating technology is not well developed compared to other conventional power plans because of its short history. Therefore we need a simulator to verify the new control strategy and train operators, because the price of a real fuel cell system is too high and mechanically weak to be used for these kind of purposes. To develop the simulator, a 300 KW MCFC(Molten Carbonate Fuel Cell) system was modeled with stack, BOPs(pre-reformer, steam generator, etc) and mechanical components(valves, pipes, pumps, blowers, etc). The process model was integrated to emulated control system and HMI(Human Machine Interface). A static load and open loop tests were conducted for verifying the accuracy of the process model, since it is the most important part in the simulation. After verifying the process model, an automatic load change and start-up tests were conducted to verify the performance of a new control strategy(logic and functional loops).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.1
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• pp.281-298
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• 2020

Fog computing has become a popular concept in the application of internet of things (IoT). With the superiority in better service providing, the edge cloud has become an attractive solution to IoT networks. The data outsourcing scheme of IoT devices demands privacy protection as well as computation verification since the lightweight devices not only outsource their data but also their computation. Existing solutions mainly deal with the operations over encrypted data, but cannot support the computation verification in the same time. In this paper, we propose a data outsourcing scheme based on an encrypted database system with linear computation as well as efficient query ability, and enhance the interlayer program in the original system with homomorphic message authenticators so that the system could perform computational verifying. The tools we use to construct our scheme have been proven secure and valid. With our scheme, the system could check if the cloud provides the correct service as the system asks. The experiment also shows that our scheme could be as effective as the original version, and the extra load in time is neglectable.

• The Journal of the Korea Contents Association
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• v.8 no.5
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• pp.61-71
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• 2008

It is often claimed that the descriptive way of documentation is insufficient to define software requirements as being unambiguous. This is caused by not only the difference of knowledge and understanding of the stakeholder as to system but also the difference in the way of documentation like method of representation as well as depth of description. The study explains the process and results of applying a diagraming tool like UML to improve the requirements of GLORY(GLObal Resource management sYstem) initially defined in descriptive way. Especially, the result shows that the requirements are more accurately improved with the good hierarchies and well-leveled functionalities, with the help of diagraming tool, expecting easy maintenance of requirements and prevention of omission of requirements.

• Journal of the Korean Society of Propulsion Engineers
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• v.2 no.3
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• pp.80-89
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• 1998

Propulsion subsystem transfers KOMPSAT into mission orbit and controls its attitude. Design factor consists of structure safety, electrical circuit design, consumable power estimation of thermal hardwares, damping device design of fuel transient pressure, and system configuration design by considering plume effect from thruster firing. System level analysis should be performed for verification of system design under launch vehicle and orbital environment. Electrical functional test of thermal control hardware, proof pressure test, cleanliness verification test, and internal/external leakage test of fuel feeding system should be carried out for performance estimation of propulsion system. Design and assembly process of propulsion subsystem was depicted and reliability of system was verified by test analysis in this paper.

• International Journal of Knowledge Content Development & Technology
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• v.8 no.1
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• pp.25-36
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• 2018

Research data must be testable. Science is all about verification and testing. To make data testable, tools used to produce, collect, and examine data during the research must be available. Quite often, however, these data become inaccessible once the work is over and the results being published. Hence, information and the related context must be provided on how research data are preserved and how they can be reproduced. Open Science is the international movement for making scientific research data properly accessible for research community. One of its major goals is building data repositories to foster wide dissemination of open data. The objectives of this research are to examine the features of research data, common repository platforms, and community requests for the purpose of designing functional requirements for research data repositories. To analyze the features of the research data, we use data curation profiles available from the Data Curation Center of the Purdue University, USA. For common repository platforms we examine Fedora Commons, iRODS, DataONE, Dataverse, Open Science Data Cloud (OSDC), and Figshare. We also analyze the requests from research community. To design a technical solution that would meet public needs for data accessibility and sharing, we take the requirements of RDA Repository Interest Group and the requests for the DataNest Community Platform developed by the Korea Institute of Science and Technology Information (KISTI). As a result, we particularize 75 requirement items grouped into 13 categories (metadata; identifiers; authentication and permission management; data access, policy support; publication; submission/ingest/management, data configuration, location; integration, preservation and sustainability, user interface; data and product quality). We hope that functional requirements set down in this study will be of help to organizations that consider deploying or designing data repositories.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.8
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• pp.689-696
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• 2001

Large-scale Multi-disciplinary Systems(LMS) such as transportation, aerospace, defense etc. are complex systems in which there are many subsystems, interfaces, functions and demanding performance requirements. Because many contractors participate in the development, it is necessary to apply methods of sharing common objectives and communicating design status effectively among all of the stakeholders. The processes and methods of systems engineering which includes system requirement analysis; functional analysis; architecting; system analysis; interface control; and system specification development provide a success-oriented disciplined approach to the project. This paper shows not only the methodology and the results of model-based systems engineering to Automated Guided Transit(AGT) system as one of LMS systems, but also propose the extension of the model-based tool to help manage a project by linking WBS (Work Breakdown Structure), work organization, and PBS (Product Breakdown Structure). In performing the model-based functional analysis, the focus was on the operation concept of an example rail system at the top-level and the propulsion/braking function, a key function of the modern automated rail system. The model-based behavior analysis approach that applies a discrete-event simulation method facilitates the system functional definition and the test and verification activities. The first application of computer-aided tool, RDD-100, in the railway industry demonstrates the capability to model product design knowledge and decisions concerning key issues such as the rationale for architecting the top-level system. The model-based product design knowledge will be essential in integrating the follow-on life-cycle phase activities. production through operation and support, over the life of the AGT system. Additionally, when a new generation train system is required, the reuse of the model-based database can increase the system design productivity and effectiveness significantly.

• Korean Journal of Korean Medical Institute of Dermatology and Aesthetics
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• v.1 no.1
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• pp.98-113
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• 2005

This paper provides comparison and analysis between brand images of Korean herbal cosmetics and general, imported cosmetic brands, focusing on product's symbolic and functional images. The objective is to evaluate brand images of Korean herbal cosmetics to suggest a powerful brand image strategy that will be different and competitive. Data collection was performed on 300 adult women who were over 20 years of age and lived in Seoul or KyongKi area. Analysis was carried out using SPSS version 11.5 and frequency analysis, T-Test and $X^2$ verification was also performed. Analysis results for brand images of Korean herbal cosmetics are as follows. First, satisfaction scale as a purchase feature for users of Korean herbal cosmetics were 'Normal' 51.5%, 'Satisfactory' 35.1%, 'Very Satisfactory' 8.2% and 'Unsatisfactory' 5.2%. Regarding improvements, 'Efficacy, Effect' was the highest with 46%. Second, 'SEOLHWASOO' and 'BAEKOKSENG' among Korean herbal cosmetic brands, 'IOPE' and 'ISA KNOX' among general cosmetic brands and 'LANCOME' and 'CHANEL' among imported cosmetic brands displayed high recognition. Third, the symbolic and functional images of Korean herbal cosmetic brands were seen to be better compared to their general and imported counterparts. Especially, product related features of Korean herbal cosmetic brands received a more positive response compared to imported brands, which suggests that with research and improvement regarding non-product related features, functional images of herbal brands may be appraised ahead of imported brands. Fourth, there is a significant difference in brand preference according to the satisfaction of groups who actually use herbal cosmetics and the purchasing attitudes of groups who do not. Therefore, an active relationship marketing strategy is required to maximize satisfaction and to elicit favorable attitudes. By developing functional native ingredients, constructing data that can prove its efficacy and effects, and appealing its unique, differentiated symbolic value together with Orientalism, herbal medicines will be able to take off to be acknowledged worldwide.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.5
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• pp.1-12
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• 1999

A new algorithm of constructing binary decision diagram(BDD) for design verification of switch-level circuits is proposed in this paper. In the switch-level circuit, functions are characterized by serial and parallel connections of switches and the final logic values may have high-impedance and unstable states in addition to the logic values of 0 and 1. We extend the BDD to represent functions of switch-level circuits as acyclic graphs so called switch-level binary decision diagram (SLBDD). The function representation of the graph is in the worst case, exponential to the number of inputs. Thus, the ordering of decision variables plays a major role in graph sizes. Under the existence of pass-transistors and domino-logic of precharging circuitry, we also propose an input ordering algorithm for the efficiency in graph sizes. We conducted several experiments on various benchmark circuits and the results show that our algorithm is efficient enough to apply to functional simulation, power estimation, and fault-simulation of switch-level design.