• Journal of the Korean School Mathematics Society
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• v.20 no.3
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• pp.303-323
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• 2017

This is a multiple-case study of how preservice secondary mathematics teachers teach a particular mathematics using a technological tool. In a performance interview, the preservice teachers demonstrated how they would teach a specific mathematical topic using Geometer's Sketchpad. The results of this study showed that the preservice teachers designed diverse types of lesson plans and implemented different pedagogical and technological techniques in their teaching demonstrations. The findings suggest that preservice teachers' pedagogical content knowledge is an important factor in the integration of technology into their mathematics teaching. Thus, mathematics teacher educators should help preservice teachers gain a robust pedagogical content knowledge in order to effectively teach mathematics with technological tools.

• Environmental and Resource Economics Review
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• v.11 no.3
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• pp.345-375
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• 2002

The purpose of this paper is to measure the change of the production efficiency which may happen when environmental regulation incurs technological constraint in the process of production, and to compute the opportunity cost of pollution reduction with the lost products based on the change of efficiency. The patterns of production technoloy in the paper are divided into the technologies of strong disposability and weak disposabilty to grasp the effect of the technological constraint due to the environmental regulation. The endowment of the technolgical constraints in the process of production is considered to bring the greatest restriction on firm's production. When the environmental efficiencies of Korean regional manufactures were measured with linear programming model, the lost products related with the constraint of production technology that environmental regulation incurred, was average 148.1 billion dollar per year(5.87% of one year overall products) for total manufactures in 1991~1998. The ratio of the lost products for total products was spread from 0.78% to 1l.08%. The average lost products of 15 regions were changed from 4.66% to 18.35% of total products. Generally the environmental efficiency index of regional manufactures being decreased continuously since 1991, it is estimated that the environmental performance of Korean manufactures has been more and more deteriorating.

• Journal of Technology Innovation
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• v.16 no.2
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• pp.125-145
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• 2008

The paper evaluates the Korean science, technology, and innovation policy(STIP) in terms of an individual firm. The firm is Viromed(Ltd), a new technology-based venture company in the field of biotechnology. The case is compared with the 'Hwang Project', which is known as a typical failure case in Korea. In order to evaluate the Korean STIP, we establish 6 areas, which are technological infrastructure, institutional infrastructure, human capital infrastructure, technology market, industrial base, and innovation networks. The study shows that the policy schemes relating with technological infrastructure, institutional infrastructure, human capital infrastructure, and industrial base play a positive role in the start-up, development and innovation of Viromed(Ltd). However, we can hardly find the role of Korean government in fostering the technology market, transferring the technological output to economic performance. Although the international networks with the British, American, and Japanese firms or investors were a key success factor of the growth of Viromed(Ltd), the role of the government in this policy area was not enough. As for the 'Hwang Project', we suggest that the government should consider the possibility of commercialization in choosing R&D projects and determining the size of financial aids. Since the evaluation of the Korean STIP is based on an individual firm, the results of the paper need to be confirmed by a systematic comparison with other cases or industries.

• Journal of Information Technology Services
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• v.18 no.4
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• pp.171-190
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• 2019

This study comparatively analyzes the cases of CDMA (Code Division Multiple Access) and WIPI (Wireless Internet Platform for Interoperability) to find out the success and failure factors of technology policies in the field of mobile communication industry. For this purpose, the two cases are analyzed through a new analysis framework, which is made by combining System of Innovation with a range of variables derived from precedent studies, such as external environment, institutions, technological system, governance structure, and interactions of actors. The results of analysis show that in the CDMA case, the following factors led to success ; Korea made good use of the external opportunities in the early stage of digital communication technology and adopted a suitable governance structure for the technological system. Main actors in Innovation System had strong will for success and engaged in cooperative interaction. For the WIPI, however, the timing of technology policy was inappropriate and a unsuitable governance structure for technological system was chosen because of path dependence. The Innovation System failded to respond efficiently to the situation where conflicts among actors had intensified, US trade pressure had increased and innovative smartphones emerged. The results of this study provide the practical implications for the success of technology policy; namely it is important to choose a governance structure that suits the external environment and characteristics of technology and to activate cooperative interactions among actors in Innovation System.

• Journal of Korea Technology Innovation Society
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• v.7 no.2
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• pp.223-255
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• 2004

이 논문은 Carlsson and Stanklewicz(1991)가 창안한 기술시스템(technological systems)의 개념을 한국과 스웨덴의 산업용로봇에 적용하여, 양자를 비교 분석하고자 하였다. 먼저 기술시스템의 개념을 재구축하고, 동태적인 측면에서 시스템의 진화과정을 보강한 다음, 한국과 스웨덴의 산업용로봇에 대한 기존 연구를 활용하여 양 기술시스템의 중요한 특징들을 비교하고 그 성과를 측정하였다. 한국과 스웨덴에 있어서 산업용로봇 기술시스템의 진화과정은 공히 미국, 일본 등 기술선도국을 모방하는 입장에 있었음에도 불구하고 '학습기간'이 20여 년 이상 소요됨을 보여주었다. 뿐만 아니라 양 시스템의 진화과정. 특히 태동기(embryo stage)에 있어서 정부의 역할이 매우 컸던 것으로 분석되었다. 그러나 기술시스템의 구성요소인 산업네트워크, 기술하부구조, 그리고 제도적하부구조 면에서 강약점 및 특징의 차이가 있음을 발견하였다. 기술시스템의 동태적 성과면에서는 한국의 경우가 스웨덴의 경우보다 상대적으로 더 우월한 것으로 평가되었다. 이는 스웨덴 시스템에서는 초기에 우위를 누렸던 기계, 전기, 그리고 메카트로닉스 기술의 우위와 사용자 능력이 점차 약화되어온 반면에 한국의 시스템은 기술하부구조 등이 취약하였지만 해외시스템과의 연계, 재벌 내에서의 기업간 연계, 산학연 협동, 그리고 지역내 연계 등 시스템내의 연계성이 기술적으로 취약한 부분을 보전해 주었기 때문인 것으로 분석되었다. 따라서 어느 한 기술시스템이 자생적으로 생명력을 이어가기 위해서는 시스템 구성요소의 개별적 형성 및 발전보다는 구성요소간 그리고 시스템내의 다양한 활동주체들의 상호작용과 연계성이 중요함을 강조하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3433-3446
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• 2019

Aiming at the high complexity of traditional single-channel demodulation algorithm for PCMA signals, a new demodulation algorithm based on neural network is proposed to reduce the complexity of demodulation in the system of non-cooperative PCMA communication. The demodulation network is trained in this paper, which combines the preprocessing module and decision module. Firstly, the preprocessing module is used to estimate the initial parameters, and the auxiliary signals are obtained by using the information of frequency offset estimation. Then, the time-frequency characteristic data of auxiliary signals are obtained, which is taken as the input data of the neural network to be trained. Finally, the decision module is used to output the demodulated bit sequence. Compared with traditional single-channel demodulation algorithms, the proposed algorithm does not need to go through all the possible values of transmit symbol pairs, which greatly reduces the complexity of demodulation. The simulation results show that the trained neural network can greatly extract the time-frequency characteristics of PCMA signals. The performance of the proposed algorithm is similar to that of PSP algorithm, but the complexity of demodulation can be greatly reduced through the proposed algorithm.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.2
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• pp.43-52
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• 2019

The recent technological developments of smart devices, multiple services are provided to enhance the users' quality of life including smart city, smart energy, smart car, smart healthcare, smart home, and so on. Academia and industries try to provide the users with convenient services upon seamless technological research and developments. Also, whenever and wherever a variety of services can be used without any limitation on the place and time upon connecting with different types of devices. However, security weaknesses due to integrations of multiple technological elements have been detected resulting in the leakage of user information, account hacking, and privacy leakage, threats to people's lives by device operation have been raised. In this paper, safer communication framework is suggested by device control and user authentication in the mobile network environment. After implementations of registration and authentication processes by users and devices, safe communication protocol is designed based on this. Also, renewal process is designed according to the safe control of the device. In the performance evaluation, safety was analyzed on the attack of protocol change weakness occurred in the existing system, service halt, data leakage, illegal operation control of message, and so on, which confirmed the enhanced speed approximately by 8% and 23% in the communication and verification parts, respectively, compared to the existing system.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.127-136
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• 2021

Real-time human recognition is a challenging task, as the images are captured in an unconstrained environment with different poses, makeups, and styles. This limitation is addressed by generating several facial images with poses, makeup, and styles with a single reference image of a person using Generative Adversarial Networks (GAN). In this paper, we propose deep learning-based human recognition using integration of GAN and Spatial Domain Techniques. A novel concept of human recognition based on face depiction approach by generating several dissimilar face images from single reference face image using Domain Transfer Generative Adversarial Networks (DT-GAN) combined with feature extraction techniques such as Local Binary Pattern (LBP) and Histogram is deliberated. The Euclidean Distance (ED) is used in the matching section for comparison of features to test the performance of the method. A database of millions of people with a single reference face image per person, instead of multiple reference face images, is created and saved on the centralized server, which helps to reduce memory load on the centralized server. It is noticed that the recognition accuracy is 100% for smaller size datasets and a little less accuracy for larger size datasets and also, results are compared with present methods to show the superiority of proposed method.

• Journal of Distribution Science
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• v.22 no.8
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• pp.37-53
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• 2024

Purpose: Global warming is increasingly aggravated by environmental degradation, a challenge that can be mitigated through strategic logistic policies. This study introduces the dynamics of green trade in environmental goods for the Organisation of Islamic Cooperation (OIC) nations. It is a region known for its high environmental degradation, political risk and instability. This study examines how technological innovation and political factors influence the geographic distribution of green trade among OIC nations from 1994 to 2021 using the structural gravity model. The COVID-19 pandemic further emphasised the need for resilient and eco-friendly approaches. Research design, data and methodology: The main objective of the study is to analyse the impact of technological innovation along with scrutinising political determinants of green trade in the OIC region from 1994 to 2021 using the structural gravity model. Results: The results reveal geographic proximity, RTA, and innovation significantly boost green trade. Similarly, OIC's green trade performance has been impeded by high political risk and instability. Conclusions: The research recommends fostering political stability, and conducting further research using longitudinal studies and machine learning to strengthen the understanding of innovation and green trade in the OIC. This will inform policies for sustainable economic growth through green trade.

• Journal of Technology Innovation
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• v.23 no.4
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• pp.205-244
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• 2015

In response to the recent rapid technological and market changes, the importance of the design of ambidextrous organization has been increasingly emphasized as one of the dynamic capabilities. Firms that show a high performance in the rapid technological and market changes appear to design and implement ambidextrous organization successfully. They have achieved both exploitative competence for continuous innovation with product development and exploratory competence for discontinuous innovation with new market and new technologies. We have examined why and how to design and operate ambidextrous organizations and the effects of ambidextrous organizational characteristics on the performance from structural, contextual and leadership perspectives. We conducted case studies on 3 Korean firms that showed different characteristics of industrial product, company size, etc. Longitudinal case studies exhibit different processes of design and operating ambidextrous organization according to innovative strategy and industrial characteristics.