• Knowledge Management Research
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• v.23 no.1
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• pp.89-109
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• 2022

Due to COVID-19 and soaring participation of individual investors, large-scale transactions exceeding system capacity limits have been reported frequently in the capital market. The capital market IT systems, which the impact of system failure is very critical, have encountered unexpectedly tremendous transactions in 2020, resulting in a sharp increase in system failures. Despite the fact that many companies maintained large-scale system capacity planning policies, recent transaction influx suggests that a new approach to capacity planning is required. Therefore, this study developed capital market IT system capacity planning models using machine learning techniques and analyzed those performances. In addition, the performance of the best proposed model was improved by using sentiment index that can promptly reflect the behavior of investors. The model uses empirical data including the COVID-19 period, and has high performance and stability that can be used in practice. In practical significance, this study maximizes the cost-efficiency of a company, but also presents optimal parameters in consideration of the practical constraints involved in changing the system. Additionally, by proving that the sentiment index can be used as a major variable in system capacity planning, it shows that the sentiment index can be actively used for various other forecasting demands.

• Journal of Navigation and Port Research
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• v.47 no.4
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• pp.246-255
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• 2023

Public conflicts in the port sector can cause additional social costs and delay the supply of port infrastructure, which can negatively affect local industries and national competitiveness. Although the importance of conflict management in the port sector is gradually increasing, there is still no systematic conflict management countermeasure. Therefore, in this study, the limitations of the current conflict management system in the port sector were considered, and a Delphi survey was conducted targeting experts and stakeholders in the port sector and conflict management. In addition, criteria for diagnosing conflicts in the port sector, causes of conflicts, proactive management measures, and ex post solutions were derived. The results of the Delphi survey analysis showed that the biggest causes of conflict were the absence of stakeholder opinion collection, consultation, and communication tools. Preliminary conflict management measures including a public deliberation process to collect local opinions and discuss development directions before deciding on specific issues, and ex post conflict resolution measures including investigation of causes of conflicts and objective personnel management in the process of preparing alternatives (e.g., securing reliability) were determined as the most important factors. In addition, based on the results obtained in this study, conflict management techniques for each phase of the port development project were presented. These findings are expected to be used as a useful reference material to reflect the port sector, which has not been included in the "Public Institution Conflict Management Manual (2016)" of the Office for Government Policy Coordination.

• Journal of Korea Entertainment Industry Association
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• v.13 no.1
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• pp.111-119
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• 2019

The purpose of study was to evaluate the economic evaluation of Chuncheon curling stadium. In oder to estimate economic evaluation, benefit/cost ratio, net present value and internal rate of return were used. Additionally, in order to investigate the socio-economic spread effect, literature review and input-output analysis were used. The results of study were as follows. First, as a result of analyzing the demand for curling stadiums in Chuncheon, it was believed that the construction of the stadium will attract athletes from the Chuncheon region as well as athletes from Seoul, Incheon, Gyeonggi Province and North Chungcheong Province. Second, economic validity analysis showed that the initial investment did not make sense, but the players' training and competitions and the advantages of the potential experience of curling events for citizens in nearby areas, including Chuncheon, make the construction and operation reasonable. Third, as a result of the review of the social and policy validity of the curling stadium, the project to build a curling stadium in Chuncheon was secured with a policy validity as a public sports facility necessary for both professional and living athletes. Finally, the analysis of socio-economic spread effect of curling stadiums had shown that it would have a positive effect on the level of satisfaction of the general public as well as the discovery of elite athletes.

• Industry Promotion Research
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• v.8 no.2
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• pp.21-27
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• 2023

This study studies the policies and use cases of the government and the financial sector for artificial intelligence, and the future policy tasks of the financial sector. want to derive According to Gartner, noteworthy technologies leading the financial industry in 2022 include 'generative AI', 'autonomous system', 'Privacy Enhanced Computation (PEC) was selected. The financial sector is developing new technologies such as artificial intelligence, big data, and blockchain. Developments are spurring innovation in the financial sector. Data loss due to the spread of telecommuting after the corona pandemic As interests in sharing and personal information protection increase, companies are expected to change in new digital technologies. Global financial companies also utilize new digital technology to develop products or manage and operate existing businesses. I n order to promote process innovation, I T expenses are being expanded. The financial sector utilizes new digital technology to prevent money laundering, improve work efficiency, and strengthen personal information protection. are applying In the era of Big Blur, where the boundaries between industries are disappearing, the competitive edge in the challenge of new entrants In order to preoccupy the market, financial institutions must actively utilize new technologies in their work.

• Journal of the Korea Society of Computer and Information
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• v.14 no.9
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• pp.135-145
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• 2009

Generally, the phases of constructing information systems are consisted of systems planning and selection, system analysis, system design, and system implementation and operation. These systems require many efforts and costs for additional development of modification requirements due to a frequent changes of business environments and business processes. Especially, inconsistencies between system design and system implementation usually happen during development steps because of the difficulties of program developments due to difficulties of capturing exact user requirements and frequent changes of user requirements. This paper proposes a scheme of implementing meta-data based applications for enterprises in order to reduce inconsistencies between system design and system implementation and to overcome limits of the existing coding-based development methods of applications which must use until disuse if they are developed once. Also, this paper presents a framework of repository system to systematically manage and utilize meta-data. The core concept of the proposed scheme makes outputs generated in the phases of system analysis and design into meta-data and is to easily develop and customize application programs using meta-data repository. Also, to show the applicability of the proposed scheme, it is applied to implement ERP system of 'H' automotive part manufacturer. As a result, the proposed scheme can gain improvements such as easiness and productivity of program development, easiness of maintenance, reusability of program components, etc.

• Journal of Navigation and Port Research
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• v.46 no.1
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• pp.42-56
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• 2022

Due to the 4th Industrial Revolution announced at the Davos Forum, the World Economic Forum, in 2016, industrial trends around the world are changing rapidly and intelligently. Among them, the digital twin is drawing attention from all industries as a groundbreaking technology that reduces unnecessary costs and trial and error by implementing real objects, systems, and environments in the same way in the real virtual world and using them to perform simulation analysis. In particular, there is a lot of interest in the application of digital twin technology in solving ports safety and efficiency challenges at once. However, there is a lack of in-depth research for the application of digital twin technology in the port, and in particular, there is a lack of research on measurable data for the implementation of the digital twin in ports. The purpose of this study was to increase granularity and connectivity through measurable data investigation for the application of digital twin technology at container ports. Based on the study results, data factors for container port application were classified into crane data, operational data, physical data, and transportation data, and factor composition, correlation with factors, and fitness were confirmed through confirmatory factor analysis.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.325-331
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• 2022

As IoT devices are used in various ways in an edge network environment, multiple studies are being conducted that utilizes the information collected from IoT devices in various applications. However, it is not easy to apply accurate IoT data immediately as IoT data collected according to network environment (interference, interference, etc.) are frequently missed or error occurs. In order to minimize mistakes in IoT data collected in an edge network environment, this paper proposes a management technique that ensures the reliability of IoT data by randomly generating signature values of IoT data and allocating only Security Information (SI) values to IoT data in bit form. The proposed technique binds IoT data into a blockchain by applying multiple hash chains to asymmetrically link and process data collected from IoT devices. In this case, the blockchainized IoT data uses a probability function to which a weight is applied according to a correlation index based on deep learning. In addition, the proposed technique can expand and operate grouped IoT data into an n-layer structure to lower the integrity and processing cost of IoT data.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.230-230
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• 2020

하천 유량측정을 위한 표면유속계는 비접촉식 방식이기 때문에 현장에서의 측정이 간편하고, 비교적 안전하기 때문에 홍수시 유량측정에 널리 이용되고 있다. 비접촉식 유속계가 가지고 있는 이러한 장점으로 전자파표면유속계의 활용이 점차 증가하고 있으며, 영상유속계와 같은 비접촉 측정방식의 활용방안 마련에 대한 연구개발 등이 꾸준히 진행되어 왔다. 최근에는 고정식으로 상시 운영이 가능한 표면유속계 등이 출시되어 소규모 하천이나 수로에서의 상시 유량측정에 활용되고 있다. 다만, 이러한 비접촉식 유속계는 표면의 유속을 측정하기 때문에 유량산정을 위해서는 평균유속으로의 환산이 필요하지만, 현재까지는 평균유속 환산계수를 사용하여 표면유속을 평균유속으로 환산하는 방법이 유일하게 활용되고 있다. 하지만, 실제 하천에서는 단면 및 하도형태, 하상조건, 수리특성 및 유속분포 등의 다양한 조건에 따라 환산계수가 결정되기 때문에 이를 단순히 일률적으로 적용하는 것은 곤란하며, 이로 인해 과거 오랫동안 표면유속을 평균유속으로 환산하기 위한 다양한 연구가 진행되었지만, 실제 다양한 조건의 하천에 적용할 수 있는 표준화된 방법은 아직까지 제시되지 못하고 있다. 현재까지, 고정식으로 설치된 유속계로부터 측정된 유속을 평균유속으로 환산하는 방법으로는 국내외적으로 지표유속법(Index Velocity Method)과 유속분포법(Velocity Profile Method)이 대표적이며, H-ADCP (Horizontal-Acoustic Doppler Velocity Profiler) 또는 UVM(Ultrasonic Velocity Meter) 등과 같은 초음파유속계를 활용한 자동유량측정시설의 유량산정방법으로 활용되고 있다. 이러한 방법들은 고정된 유속계의 측정유속을 지표유속(V_i)으로 하여 다양한 범위의 실측된 평균유속과의 관계를 개발하여 활용하거나, 지표유속을 매개로 개수로 단면의 이론적인 유속분포를 추정하여 평균유속을 산정한다. 이러한 지표유속을 활용하는 방법들에서 공통적으로 중요한 것은 하천단면의 최대유속(V_max)이 가장 좋은 지표유속이라는 것이다. 따라서 국제기준에서는 지표유속을 측정하는 유속계의 가장 바람직한 위치로 유심부(core flow)를 권장하고 있다. 하지만, 접촉식 유속계의 경우 유심부 설치가 매우 어렵고 많은 비용이 들기 때문에, 비접촉식 유속계를 활용하여 하천단면의 최대유속을 측정할 수 있다면, 가장 효율적인 고정식 측정방법이 될 수 있을 것이다. 따라서, 본 연구에서는 비접촉식 표면유속계의 고정식 유량측정 활용성 및 적용성을 검토할 목적으로 표면유속에 대한 유량산정방법을 검토하였다. 이를 위해 24GHz의 주파수를 갖는 레이다표면유속계인 Sensoflow를 낙동강 수계 길안천에 위치한 안동시(대사3교)에 고정설치하여 표면유속을 지표유속으로 수집하였다. 다양한 유량규모에서 측정한 실측 표면유속과 수집된 표면유속을 지표유속으로 활용하여 지표유속관계를 개발하였으며, 산정된 유량을 기존 수위-유량관계곡선식의 환산유량과 비교하여 표면유속의 지표유속 활용성을 검토하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.6B
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• pp.661-667
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• 2006

In this study, an experiment of sewage sludge dewatering is carried by using electrokinetic method, and the electrokinetic dewatering efficiency of digested sludge is analyzed. Digested sludge without coagulants is selected and gravitational and pressing dewatering methods are applied in combination with electro-osmotic and electro-osmotic pulse technology. After the test of digested sludge, dewatering test of thickened sludge is carried to evaluate the electrokinetic dewatering feasibility of thickened sludge. Under the condition of constantly applied voltage, however, electrical resistance increases with decreasing of water content so that dewatering rate decreases with time. To reduce such a hindrance caused by constantly applied voltage, electro-osmotic pulse technology which is considered to reduce the difference of water content with height, is applied. For the application of electro-osmotic pulse, the dewatered flow rate and the dewatered volume became more increasing from the middle of the dewatering process than that of continuous voltage. Through the test of thickened sludge, electro-osmotic dewatering combined with gravitational and expression also showed high dewatering rate, which proved the possibility of using electrokinetic dewatering.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.250-251
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• 2023

The pallet, typically a form of tertiary packaging, is a flat structure used as a base for the unitization of goods in the supply chain. In addition, standard pallets such as T-11 and T-12 are used throughout the logistics industry to reduce the cost and enhance the efficiency of transportation. However, in the case of special cargo, it is impossible to handle such cargo using a standard pallet due to its size and weight, so many have developed and are now using their customized pallet. Therefore, this study suggests a pallet size optimization method to calculate the optimal pallet size, which minimizes the loss of space on a pallet. The main input features are the specifications and the storage quantity of each cargo, and the optimization method that has modified the Neighborhood Search Algorithm calculates the optimal pallet size. In order to verify the optimality of the developed algorithm, a comparative analysis has been conducted through simulation.