• Korean Journal of Food Science and Technology
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• v.53 no.1
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• pp.78-84
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• 2021

As a calorie supplement for the elderly, functional beverages based on black sesame were prepared with different roasting times (0, 10, 15, and 20 min for R-0, R-10, R-15, and R-20, respectively), and their properties were compared. The total calorie content of the beverage was adjusted to match that of half a meal to meet the nutritional requirements of the elderly. The suspension stability of all samples was maintained for 5 day by the addition of xanthan gum. Regarding the color of the beverage, L* and a* values decreased, whereas b* increased with the increase in black sesame roasting time. Among the samples, the total lignan content did not change, except for R-20, which showed a significantly lower value than the others. Total polyphenol content significantly increased with roasting time, reaching the maximum value in R-15 and R-20; however, the free radical scavenging effect decreased for R-20. Based on the results of the sensory test, R-15 was the most acceptable for customized beverages.

• Korean Journal of Remote Sensing
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• v.36 no.6_1
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• pp.1323-1337
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• 2020

GEO-KOMPSAT-2A AMI (Advanced Meteorological Imager) radiometric calibration evaluation is an essential element not only for functional and performance verification of the payload but for the quality of the sensor data. AMI instrument consists of six reflective channels and ten thermal infrared ones. One of the key parameters representing radiometric properties of the sensor is a SNR (Signal-to-Noise Ratio) for the reflective channels and a NEdT (Noise Equivalent delta Temperature) for the IR ones respectively. Other important radiometric calibration parameters are a dynamic range and a gain value related with the responsivity of detectors. To verify major radiometric calibration performance of AMI, an offline radiometric evaluation tool was developed separately with a real-time AMI data processing system. Using the evaluation tool, validation activities were carried out during the GEO-KOMPSAT-2A In-Orbit Test period. The results from the evaluation tool were cross checked with those of the HARRIS, which is the AMI payload vendor. AMI radiometric evaluation activities were conducted through three phases for both sides (Side 1 and Side 2) of AMI payload. Results showed that performances of the key radiometric properties were outstanding with respect to the radiometric requirements of the payload. The effectiveness of the evaluation tool was verified as well.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.7
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• pp.205-214
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• 2021

For smart manufacturing, most semiconductor sites utilize automated material handling systems(AMHS). As one of the AMHSs, the OHT control system(OCS) manages overhead hoist transports(OHT) that move along rails installed on the ceiling. This paper proposes a real-time scheduling system to efficiently allocate and control the OHTs in semiconductor logistics processes. The proposed system, as an independent subsystem within the OCS, is interconnected with the main subsystem of the OCS, so that it can be easily modified without the effect of other systems. To develop the system, we first identify the functional requirements of the semiconductor logistics process and classify several types of control scenarios of the OHTs. Next, based on SEMI(Semiconductor Equipment and Materials International) standard, we design sequence diagrams and interface messages between the subsystems. The developed system is interoperated with the OCS main subsystem and the database in real time and performs two major roles: 1) OHT dispatching and 2) pathfinding. Six integrated tests were carried out to verify the functions of the developed system. The system was normally operated on six basic scenarios and two exception scenarios and we proved that it is suitable for the mission planning of the OHTs.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.239-249
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• 2022

This study attempted to categorize the motivation for participation in leisure sports and analyze the difference in consumer demand for leisure sports wear according to the type. As a result of the analysis, the functionality of the preferred material consisted of movement, comfort, and body temperature maintenance. When purchasing, the factors to consider were extracted such as basic emphasis, emphasis on flaunting, and emphasis on practicality. The improvement requirement was composed of basic function improvement and various function additional factors, and the purchase satisfaction factor was composed of three factors: brand, practicality, design, and functionality. Motives for participation in marine leisure sports were grouped into mania, leisure, and health types. As for the functionality of the preferred material, the mania type and leisure type preferred movement, comfort, and body temperature maintenance functionality over the health type. As for the factors to consider when purchasing, the mania type and leisure type had higher consideration for the factors of basic emphasis, ostentation, and practicality than the health type. In the improvement requirements, both basic function improvement and various function additions had the highest mania type and the lowest health type. In terms of purchase satisfaction factors, practicality and brand were found to have a high leisure type, and functional factors were found to have a high mania type. For the enthusiastic group, it is thought that product development should focus on functionality and additional functions, and health types should be focused on design and utilization.

• Composites Research
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• v.36 no.1
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• pp.48-52
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• 2023

Fiber-reinforced composites have anisotropic material properties, so the mechanical properties of composite structures can vary depending on the stacking sequence. Therefore, it is essential to design the proper stacking sequence of composite structures according to the functional requirements. However, depending on the manufacturing condition or the shape of the structure, there are many cases where the designed stacking angle is out of range, which can affect structural performance. Accordingly, it is important to analyze the stacking angle in order to confirm that the composite structure is correctly fabricated as designed. In this study, the stacking angle was predicted from real cross-sectional images of fiber-reinforced composites using convolutional neural network (CNN)-based deep learning. Carbon fiber-reinforced composite specimens with several stacking angles were fabricated and their cross-sections were photographed on a micro-scale using an optical microscope. The training was performed for a CNN-based deep learning model using the cross-sectional image data of the composite specimens. As a result, the stacking angle can be predicted from the actual cross-sectional image of the fiber-reinforced composite with high accuracy.

• Journal of Practical Engineering Education
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• v.15 no.3
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• pp.605-614
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• 2023

In In the era of digital transition, AI-based personalized services are emerging in the field of education. This research aims to examine the development strategies for implementing AI-based learning services in school. Focusing on AI-based math learning service "Math Cell" developed by i-Scream Edu, this study surveyed the functional requirements from the perspective of an educator. The results were analyzed for importance and suitability using IPA, and expert opinions were surveyed to explore specific development directions for the service. Consequently, importance in all areas such as diagnosis, learning, evaluation, and management averaged 4.82 and performance averaged 4.56, showing excellent results in most questions, and in particular, importance was higher than performance. Among certain detailed functions, concept learning, customized task presentation, evaluation result analysis function, dashboard-related functions, and learning materials in the dashboard were not intuitive for students to understand and had to be supplemented. This study provides meaningful insights by summarizing expert opinions on AI-based personalized mathematics learning services, thereby contributing to the exploration of the development strategies for "Math Cell".

• Smart Media Journal
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• v.13 no.1
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• pp.36-44
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• 2024

Metaverse is attracting attention as the development of virtual environment technology and the emergence of untact culture due to the COVID-19 pandemic. In this study, by analyzing users' reviews on the "Zepeto" application, which has recently attracted attention as a metaverse service, we tried to confirm changes in the requirements for the metaverse after the COVID-19 pandemic. To this end, 109,662 reviews of "Zepeto" applications written on the Google Play Store from September 2018 to March 2023 were collected, topics were extracted using LDA topic modeling technique, and topics were analyzed using the Causal Impact technique to examine how topics changed before and after based on "March 11, 2020" when the COVID-19 pandemic was declared. As a result of the analysis, five topics were extracted: application functional problems (topic1), security problems (topic 2), complaints about cryptocurrency (Zem) in the application (topic 3), application performance (topic 4), and personal information-related problems (topic 5). Among them, it was confirmed that security problems (topic 2) were most affected by the COVID-19 pandemic.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.05a
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• pp.234-245
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• 2007

The empirical studies on the implementation of data warehousing systems (DWS) are lacking while there exist a number of studies on the implementation of IS. This study intends to examine the factors affecting the implementation success of DWS. The study adopts the empirical analysis of the sample of 112 responses from DWS practitioners. The study results suggest several implications for researchers and practitioners. First, when the support from top management becomes great, the implementation success of DWS in organizational aspects is more likely. When the support from top management exists, users are more likely to be encouraged to use DWS, and organizational resistance to use DWS is well coped with increasing the possibility of implementation success of DWS. The support of resource increases the implementation success of DWS in project aspects while it is not significantly related to the implementation success of DWS in organizational aspects. The support of funds, human resources, and other efforts enhances the possibility of successful implementation of project; the project does not exceed the time and resource budgets and meet the functional requirements. The effect of resource support, however, is not significantly related to the organizational success. The user involvement in systems implementation affects the implementation success of DWS in organizational and project aspects. The success of DWS implementation is significantly related to the users' commitment to the project and the proactive involvement in the implementation tasks. users' task. The observation of the behaviors of competitors which possibly increases data quality does not affect the implementation success of DWS. This indicates that the quality of data such as data consistency and accuracy is not ensured through the understanding of the behaviors of competitors, and this does not affect the data integration and the successful implementation of DWS projects. The prototyping for the DWS implementation positively affects the implementation success of DWS. This indicates that the extent of understanding requirements and the communication among project members increases the implementation success of DWS. Developing the prototypes for DWS ensures the acquirement of accurate or integrated data, the flexible processing of data, and the adaptation into new organizational conditions. The extent of consulting activities in DWS projects increases the implementation success of DWS in project aspects. The continuous support for consulting activities and technology transfer enhances the adherence to the project schedule preventing the exceeding use of project budget and ensuring the implementation of intended system functions; this ultimately leads to the successful implementation of DWS projects. The research hypothesis that the capability of project teams affects the implementation success of DWS is rejected. The technical ability of team members and human relationship skills themselves do not affect the successful implementation of DWS projects. The quality of the system which provided data to DWS affects the implementation success of DWS in technical aspects. The standardization of data definition and the commitment to the technical standard increase the possibility of overcoming the technical problems of DWS. Further, the development technology of DWS affects the implementation success of DWS. The hardware, software, implementation methodology, and implementation tools contribute to effective integration and classification of data in various forms. In addition, the implementation success of DWS in organizational and project aspects increases the data quality and system quality of DWS while the implementation success of DWS in technical aspects does not affect the data quality and system quality of DWS. The data and systems quality increases the effective processing of individual tasks, and reduces the decision making times and efforts enhancing the perceived benefits of DWS.

• Journal of Nutrition and Health
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• v.51 no.5
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• pp.386-399
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• 2018

Purpose: This study examined whether the supply of healthy Korean diets for 12 weeks is effective in improving the risk factors related to serum GGT and cardiovascular diseases in patients with hypertension and diabetes. Methods: This study selected 41 patients, who were treated with hypertension and diabetes. The Korean diet was composed of cooked-rice, soup, kimchi, and various banchan with one serving called bapsang, which emphasize proportionally high consumption of vegetables and fermented foods, moderate to high consumption of legumes and fish, and low consumption of animal foods. The control group was instead instructed to "eat and exercise as usual" while following the Korean Diabetes Association's dietary guidelines with an intake that can assist in glycemic control, maintain adequate weight, and meet the nutritional requirements. The Korean diet group (21 patients) were served three healthy Korean meals a day for 12 weeks, and the control group (20 patients, who trained in the diet guideline of diabetes) maintained their usual diabetic diet. The serum GGT, blood pressure, heart rate, glycemic control data, cardiovascular risk indicators, and changes in diet measured at the four visits (week 0, 4, 8, and 12) during the course of 12 weeks were compared and evaluated. Results: The serum GGT (p < 0.001), HbA1c (p = 0.004), heart rate (p = 0.007), weight (p = 0.002), Body Mass Index (p = 0.002), body fat mass (p < 0.001), body fat (%) (p < 0.001), and free fatty acid (p = 0.007) in the Korean diet group decreased significantly after the dietary intervention compared to the control group. The amount of intake of rice, whole grains, green vegetables, Kimchi, and soybean fermented food were increased significantly compared to the control group (p < 0.001). The Korean diet group showed significant decreases (p < 0.001) in the intake of animal protein, lipid, and cholesterol derived from animal foods compared to the control group but significant increases (p < 0.001) in the intake of total calories, folic acid, dietary fiber, sodium, potassium, and vitamins A, E, and C. Conclusion: In patients with hypertension and diabetes, it was confirmed that regular eating of a healthy Korean diet helps improve the risk factors for GGT and cardiovascular diseases.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.5
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• pp.909-928
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• 2020

From the early 1970s, the US government began to recognize that penetration testing could not assure the security quality of products. Results of penetration testing such as identified vulnerabilities and faults can be varied depending on the capabilities of the team. In other words none of penetration team can assure that "vulnerabilities are not found" is not equal to "product does not have any vulnerabilities". So the U.S. government realized that in order to improve the security quality of products, the development process itself should be managed systematically and strictly. Therefore, the US government began to publish various standards related to the development methodology and evaluation procurement system embedding "security-by-design" concept from the 1980s. Security-by-design means reducing product's complexity by considering security from the initial phase of development lifecycle such as the product requirements analysis and design phase to achieve trustworthiness of product ultimately. Since then, the security-by-design concept has been spread to the private sector since 2002 in the name of Secure SDLC by Microsoft and IBM, and is currently being used in various fields such as automotive and advanced weapon systems. However, the problem is that it is not easy to implement in the actual field because the standard or guidelines related to Secure SDLC contain only abstract and declarative contents. Therefore, in this paper, we present the new framework in order to specify the level of Secure SDLC desired by enterprises. Our proposed CIA (functional Correctness, safety Integrity, security Assurance)-level-based security-by-design framework combines the evidence-based security approach with the existing Secure SDLC. Using our methodology, first we can quantitatively show gap of Secure SDLC process level between competitor and the company. Second, it is very useful when you want to build Secure SDLC in the actual field because you can easily derive detailed activities and documents to build the desired level of Secure SDLC.