• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.124-129
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• 2021

As the 4th industrial era is in full swing, the public's interest in related technologies such as artificial intelligence, big data, and block chain is increasing. As artificial intelligence technology is used in various industrial fields, the need for research methods incorporating artificial intelligence technology in related fields is also increasing. Evidence collection among digital forensic investigation techniques is a very important procedure in the investigation process that needs to prove a specific person's suspicions. However, there may be cases in which evidence is damaged due to intentional damage to evidence or other physical reasons, and there is a limit to the collection of evidence in this situation. Therefore, this paper we intends to propose an artificial intelligence-based evidence collection system that analyzes numerous image files reported by citizens in real time to visually check the location, user information, and shooting time of the image files. When this system is applied, it is expected that the evidence expected data collected in real time can be actually used as evidence, and it is also expected that the risk area analysis will be possible through big data analysis.

• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.2
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• pp.177-186
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• 2022

A network QoS model for the joint integrated C4I structure was proposed for the integration of network infrastructure and network operations(NetOps) for NCOE. Detailed QoS requirements process of the joint integrated C4I systems are needs in the Multi-Domain Operation Environment(MDOE). A process is proposed for identifying QoS requirements and establishing in the MDOE using JMT(Joint Mission Thread) reference architecture and solution architecture. Mission analysis identify JCOAs(Joint Critical Operational Activities) and related activities based on JMT & System architecture's OVs, and Information analysis identify QoS attributes using System architecture's SVs. Identifying QoS attributes will be registered at PPS Registry by pre-regulated process, and will be set-up by NetOps. MDOE QoS requirement Process will support efficiently MUM-T and smart defense platform users under the future uncertain battlefield circumstances.

• Textile Coloration and Finishing
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• v.34 no.3
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• pp.197-206
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• 2022

The purpose of this study was to confirm the optimal spinning conditions for PLA (Polylactic acid) as a fiber forming polymer. According to the melt spinning test results of PLA, the optimal spinning temperature was 258℃. However, it needs to note that relatively high pack pressure was required for spinning at 258℃. At an elevated temperature, 262℃, mono filament was broken easily due to hydrolysis of PLA at a higher temperature. In case of fiber strength, it was confirmed that the draw ratios of 2.7 to 3.3 were optimal for maximum strength of melt spun PLA. Above the draw ratio, 3.3, the strength of the PLA fibers was lowered. It was presumed that cleavage of the PLA polymer chain over maximum elongation. The heat setting temperature of GR (Godet roller) showed that the maximum strength of the PLA fibers was revealed around 100℃. The degree of crystallinity and the strength of the PLA fibers were decreased above 100℃. The optimal take-up speed (Spinning speed) was around 4,000m/min. Thermal analysis of PLA showed 170℃ and 57℃ as Tm (melting temperature) and Tg (glass transition temperature), respectively.

• Journal of Korean Society for Quality Management
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• v.50 no.1
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• pp.139-151
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• 2022

Purpose: This study aims to delve into the empirical implications in management efficiency by analyzing the relation between management efficiency and debt ratio in public institutions. Methods: Based on 165 public institutions published in public business information system from 2016 to 2020, Data Envelopment Analysis(DEA) for estimating management efficiency was performed. This study analyzed the relationship between management efficiency and debt ratio using multi-regression analysis. It also examines how the relationship varies depending on the type of public institution. Results: The results of this study are as follows; We find that there is no significant relation between management efficiency and debt ratio. However, we find that this relationship can be different depending on the type of public institution. Management efficiency is negatively associated with debt ratio for quasi-market type public institutions. This negative relation tends to mitigate for market type public institutions, which suggests that management efficiency may convey differential implications depending on the type of business environment represented by the type of institution. Conclusion: The overall results suggest that the government needs to due caution in establishing a policy plan to reduce debt by increasing management efficiency, taking the specific business environment, particularly with regard the type of institution.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.97-106
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• 2023

Citizens' demand for public CCTVs continues to rise, along with an increase in variouscrimes and social problems in cities. In line with the needs of citizens, the Seoul Metropolitan Government began installing CCTV cameras in 2010, and the number of new installations has increased by over 10% each year. As the large surveillance system represents a substantial budget item for the city, decision-making on location selection should be guided by reasonable standards. The purpose of this study is to improve the existing related models(such as public CCTV priority location analysis manuals) to establish the methodology foranalyzing priority regions ofSeoul-type public CCTVs and propose new mid- to long-term installation goals. Additionally, using the improved methodology, we determine the CCTV priority status of 25 autonomous districts across Seoul and calculate the goals. Through its results, this study suggests improvements to existing models by addressing their limitations, such as the sustainability of input data, the conversion of existing general-purpose models to urban models, and the expansion of basic local government-level models to metropolitan government levels. The results can also be applied to other metropolitan areas and are used by the Seoul Metropolitan Government in its CCTV operation policy

• Journal of Wellbeing Management and Applied Psychology
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• v.7 no.2
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• pp.23-29
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• 2024

Purpose: This study aims to investigate consumer attitudes towards healthy foods, focusing on low-calorie options, and their impact on purchasing behavior. Methods: The study utilizes structural equation modeling, which incorporates statistical tools such as SPSS and AMOS for thorough analysis. This involves collecting data over a period of time and then inferring patterns and relationships through correlation and trend analysis. Results: The study found that attributes such as quality, price, functional value, and emotional value have a significant impact on customer satisfaction and repurchase intentions, but not on nutrition and brand. The study provides a comprehensive understanding of the factors that influence consumer attitudes and purchase behavior toward healthy indulgences in the context of low-calorie foods, and has important implications for both academic research and practical marketing strategies. Conclusions and Implications: This study provides new insights into consumer behavior theory by validating the impact of the perceived value of low-calorie products on attitudes and purchase behavior, which is of great academic value. It is also expected to provide useful information for the formulation of effective marketing strategies for low-calorie products and the development of products that meet consumer needs.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.202-208
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• 2024

Objective: The purpose of this study is to examine the competitive environment of 7-Eleven using Porter's 5 Force model to analyze the specific competitiveness of 7-Eleven that has maintained continuous growth as a competitive company. Methods: This study is a case study of 7-Eleven. Results: As a result of the analysis, 7-Eleven has reinforced its competitiveness with existing competitors by raising entry barriers by expanding domestic stores and developing overseas convenience store business, focusing on North America, based on economy of scale. In addition, 7-Eleven seeks to differentiate itself from other convenience stores by developing a "private brand" and strengthens its bargaining power with suppliers through the development of new products by gathering information and know-how of experts in product development based on customer needs. The bargaining power with customers has been strengthened by building loyalty and trust in the brand by allowing consumers to purchase the same products at the same price no matter which store they visit. As a threat to potential competitors, 7-Eleven has secured a competition advantage by raising the barrier to entry by concentrating stores in specific areas through a dominant franchise development strategy and increasing awareness of 7-Eleven among consumers. In the case of threats from substitute products, it was confirmed that 7-Eleven has overcome the threat from substitute products by opening 24 hours a day and providing various services such as ATMs and copiers.

• Asia-Pacific Journal of Business
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• v.15 no.3
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• pp.509-523
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• 2024

Purpose - The purpose of this study was to analyze the impact of the National Space Policy on Korean space-related companies. Design/methodology/approach - This study utilized space sector firm-level data based on the list of the Space Industry Survey (MSIT, 2023). The multiple regression analysis was used to estimate the model. Findings - First, the lagged policy variable of the Master Plan for Promotion of Space Development positively influences the company's sales. However, the establishment of an Action Plan for Utilization of Satellite Information had no significant result. Second, small-sized enterprises were more sensitive to government policy than medium- and large-sized enterprises. Third, lagged policy variables positively impact firms' sales revenue, especially in the satellite manufacturing and the satellite utilization services and equipment sector. Research implications or Originality - First, support for companies with policy effects should be further expanded. Second, a long-term and stable budget procurement plan should be established to secure a firm's sustainable competitiveness. Lastly, given the characteristics of the space industry, which involves long-term development periods and large investments, government investment should continue. Simultaneously, institutional improvement needs to emerge new services in the space sector.

• Solar Energy
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• v.10 no.1
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• pp.63-79
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• 1990

It has been recognized that a policy for supplying solar house and hot water production systems utilizing solar energy needs to be driven to save civilian comsuming energy or to develop alternative energy. However, the economic feasibility study of solar energy systems must be carried out before their practical use. The purpose of this study is to furnish information for supplying policy and enlightening users with the economic feasibility study of solar house and hot water production systems. Decision support systems are established to carry out economic analysis on solar systems more accurately. Therefore, computer simulation is carried out to analyze the performance of solar systems and also economic feasibility study by trial and error method is carried out. Fuel cost and additional cost for solar systems are estimated employing present worth concept and economic analysis has been conducted using the break-even point analysis method and life-cycle cost analysis method.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.135-146
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• 2019

Big data analysis is actively used for collecting and analyzing direct information on related topics in each field of society. Applying big data analysis technology in education field is increasingly interested in Korea, because applying this technology helps to identify the effectiveness of education methods and policies and applying them for policy formulation. In this paper, we propose our approach of utilizing big data analysis technology in education field. We focus on free semester program, one of the current core education policies, and we analyze the main points of interests and differences in the free semester through analysis and visualization of texts that are written on the operation reports prepared by each school. We compare regional differences in key characteristics and interests based on the free semester operation reports from middle schools particularly at Seoul and Gangwon-do regions. In conclusion, applying and utilizing big data analysis technology according to the needs and requirements of education field is a great significance.