• Nuclear Engineering and Technology
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• v.55 no.11
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• pp.4057-4065
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• 2023

Organic scintillators are widely used for neutron/gamma detection. Pulse shape discrimination algorithms have been commonly used to discriminate the detected radiations. These algorithms have several limits, in particular with plastic scintillator which has lower discrimination ability, compared to liquid scintillator. Recently, machine learning (ML) models have been explored to enhance discrimination performance. Nevertheless, obtaining an accurate ML model or evaluating any discrimination approach requires a reference neutron dataset. The preparation of this is challenging because neutron sources are also gamma-ray emitters. Therefore, this paper proposes a pipeline to prepare clean labeled neutron/gamma datasets acquired by an organic scintillator. The method is mainly based on a Time of Flight setup and Tail-to-Total integral ratio (TTT_ratio) discrimination algorithm. In the presented case, EJ276 plastic scintillator and ²⁵²Cf source were used to implement the acquisition chain. The results showed that this process can identify and remove mislabeled samples in the entire ToF spectrum, including those that contribute to peak values. Furthermore, the process cleans ToF dataset from pile-up events, which can significantly impact experimental results and the conclusions extracted from them.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.1
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• pp.109-119
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• 2016

Due to the fact that it is relatively easy to transfer technology between application developers or content providers, low entry barrier in the business causes fierce competition among the venture companies in mobile service industry. Our study examines a sustainable strategies to operate a business for venture companies that are in a highly competitive technology-intensive industry. In this paper, we examine how venture firms created a network and brought synergy effects, using network theory. Korean venture firm, YelloMobile, uses unique strategies of merger and acquisition through the method of swapping equity and thereby establishing network. We contribute to expand network theory by examining three elements of network: such as network structure, network governance mechanisms, and network contents.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.2
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• pp.218-224
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• 2012

Recently, as the needs of developing the micro autonomous underwater vehicle (AUV) are increasing, the acquisition of the elementary technology is urgent. While they mostly utilizes information of the forward looking sonar (FLS) in conventional studies of the local path control as an elementary technology, it is desirable to use the obstacle avoidance sonar (OAS) because the size of the FLS is not suitable for the micro AUV. In brief, the local path control system based on the OAS for the micro AUV operates with the following problems: the OAS offers low bearing resolution and local range information, it requires the system that has reduced power consumption to extend the mission execution time, and it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an intelligent local path control algorithm based on the beam modeling of OAS with the evolution strategy (ES) and the fuzzy logic controller (FLC), is proposed. To verify the performance and analyze the characteristic of the proposed algorithm, the course control of the underwater flight vehicle (UFV) is performed in the horizontal plane. Simulation results show that the feasibility of real application and the necessity of additional work in the proposed algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1607-1614
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• 2016

Because required weapon systems in the planning stage exceed the extent of defense budget, we should consider the priorities of them in the programming and budget stage. The purpose of this paper is to find out the factors that affect the prioritization of required weapon systems limited by budget. For this purpose, we analyse statistically major 20 defense projects launched in 2014. We derived the reasons for prioritization through the pairwise comparisons and also extracted six representative factors through the Exploratory Factor Analysis(EFA). The KMO was 0.779 and the total variance explained was 79.59%, Cronbach's Alpha was above 0.7 which means EFA was appropriate to accept. The significance of this paper is that influencing factors on prioritization was derived by the comparisons using the present weapon systems and people in charge of defense acquisition. The factors can be utilized in AHP or Delphi to determine the priority and ultimately contribute to rational judgement for the military strategy objectives within the limited resources.

• Nuclear Engineering and Technology
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• v.54 no.7
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• pp.2444-2452
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• 2022

The field-programmable gate array (FPGA) is gaining popularity in industrial automation such as nuclear power plant instrumentation and control (I&C) systems due to the benefits of having non-existence of operating system, minimum software errors, and minimum common reason failures. Separate functions can be processed individually and in parallel on the same integrated circuit using FPGAs in comparison to the conventional microprocessor-based systems used in any plant operations. The use of FPGAs offers the potential to minimize complexity and the accompanying difficulty of securing regulatory approval, as well as provide superior protection against obsolescence. Wireless sensor networks (WSNs) are a new technology for acquiring and processing plant data wirelessly in which sensor nodes are configured for real-time signal processing, data acquisition, and monitoring. ZigBee (IEEE 802.15.4) is an open worldwide standard for minimum power, low-cost machine-to-machine (M2M), and internet of things (IoT) enabled wireless network communication. It is always a challenge to follow the specific topology when different Zigbee nodes are placed in a large network such as a plant. The research article focuses on the hardware chip design of different topological structures supported by ZigBee that can be used for monitoring and controlling the different operations of the plant and evaluates the performance in Vitex-5 FPGA hardware. The research work presents a strategy for configuring FPGA with ZigBee sensor nodes when communicating in a large area such as an industrial plant for real-time monitoring.

• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.6
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• pp.549-558
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• 2021

In order to keep infrastructures such as tunnels and underground facilities safe, cracks of concrete lining in tunnel should be detected by regular inspections. Since regular inspections are accomplished through manual efforts using maintenance lift vehicles, it brings about traffic jam, exposes works to dangerous circumstances, and deteriorates consistency of crack inspection data. This study aims to provide methodology to automatically extract cracks from tunnel concrete lining images generated by the existing tunnel image acquisition system. Specifically, we train a deep learning based semantic segmentation model with open dataset, and evaluate its performance with the dataset from the existing tunnel image acquisition system. In particular, we compare the model performance in case of using all of a public dataset, subset of the public dataset which are related to tunnel surfaces, and the tunnel-related subset with negative examples. As a result, the model trained using the tunnel-related subset with negative examples reached the best performance. In the future, we expect that this research can be used for planning efficient model training strategy for crack detection.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.86-93
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• 2016

Information technology, such as IoT, Big Data, Drone, Cloud etc., is evolving every year. Information Society is changing Intelligence Society and Creative Society. A new Construction Projects Management System Roadmap is required because it is difficult to reflect the current IT environments based on the CALS(Continuous Acquisition & Life-cycle Support) master plan, which is performed to establish every five years since 1998. This study was prepared for the Roadmap with a focus on Construction Management System based on the 4th CALS master plan, which was performed to establish the 2012 year. To this end, the construction environment and several information systems were investigated and analyzed. The problems of the construction project information system were derived using SWOT analysis, the vision, goal, direction, strategy, main tasks, specific tasks, and timetable of the Construction Project Management System are presented. This roadmap is designed to be used as operational indicators of a future construction project management system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7893-7901
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• 2015

It is important to the periodic collection and analysis of the maintenance and management information of bridges for a more safe and efficient management of the bridges. To enhance the reliability and ease of acquisition of the bridge inspection information that is the basis for a strategy for safe and economic management using the bridge management system (BMS), this study develops a smart phone application for bridge inspection and ensures the actual applicability of the application. The developed application that is linked with the BMS for life-cycle management of bridges is possible to real-time query, modify and transmit of the maintenance-related information, and the application is able to greatly relieve the time and cost for the bridge inspection through the automatic creation of site inspection reports. The proposed method using the application is directly or indirectly expected to be very high effects of value improvement, such as ease of use, improved accuracy, sustainability of information, and future utilization, compared to conventional inspection method.

• Journal of Technology Innovation
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• v.29 no.2
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• pp.1-30
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• 2021

Recent years have witnessed various attempts of firms to acquire new knowledge. Purchasing intellectual property or merger and acquisition (M&A) can be such attempts, but joint venture can also be an effective way internalizing new complementary assets from external partners. However, due to difficulties in the formation and implementation of learning strategies, many joint ventures have failed to acquire necessary knowledge. In this respect, based on contingency theory and dynamic capability, the current research aims to investigate the failure case of knowledge transfer in an international joint venture - KEFICO established by Hyundai motors and BOSCH. Case firm optimized for hardware technology but did not establish a differentiated learning strategy and organizational structure to acquire software skills, which are intellectuals of different natures. Due to this inconsistency, it was not able for KEFICO to absorb new type of knowledge (skills related to engine control system). This study suggests the theoretical framework illustrating the case and provides some important implications for organizational learning.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.7
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• pp.361-370
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• 2016

Effective acquisition technology is an important factor determining the competitiveness of companies(Roxas et al., 2011). Since the importance of technology transfer has been increased, there has been a growing interest in company, government, university and research institutes (Bozeman et al., 2015). Despite the national efforts for activating technology transfer, a lot of technology is still in universities and R&D center(Ockwell et al., 2009). The barriers of technology transfer are a main reason to inhibit the technology transfer. In order to be lower technology transfer barriers, it is necessary to derive the technology transfer broker based on social network analysis. However, most studies related to technology transfer broker had been focused on empirical study(Bozeman et al., 2015). Therefore, it is needed to suggest the method to grasp the opportunity that can lead to technology innovation based on analyzing and visualizing the network of technology transfer. The method in this study provides the company with the connectable path, technology transfer broker and strategy to classify the technology actor within the network. Finally, the method is applied to Global MVP for verifying the feasibility of method.