• Nuclear Engineering and Technology
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• v.54 no.2
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• pp.741-748
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• 2022

Policy literacy plays a critical role in enhancing deliberative communication among the public, policymakers, and experts. It also helps develop a positive view of policy by the public, which facilitates public acceptance. Despite its importance, however, policy literacy has received little attention in energy policy practice. Therefore, this study explores factors affecting the public's understanding and knowledge (i.e., policy literacy) of nuclear and new-renewable energy policies. Accordingly, we analyzed data from an online survey of 790 laypeople in Korea. Specifically, we examined the effects of trust, transparency, and policy public relations (PR) on the policy literacy of the public regarding the two alternative energy sources. The analysis revealed that people showed higher policy literacy about the alternative sources when provided with more transparent information and exposed to more policy PR activities. However, we found that trust in energy plant operators played a negligible role in improving policy literacy for both energy sources. Based on these findings, we developed some policy suggestions to secure the energy policy literacy of the public.

• Journal of the Optical Society of Korea
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• v.5 no.3
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• pp.110-116
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• 2001

Recently observed dark resonance phenomena is solids are reviewed and discussed for potential applications to high-resolution coherence spectroscopy. in an inhomogeneously broadened system, a new type of high-resolution spectroscopy based on electromagnetically induced transparency is demonstrated.

• The Journal of Society for e-Business Studies
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• v.18 no.2
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• pp.279-299
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• 2013

The problem of choosing the right product that will best fit a consumer's taste and preferences extends to the field of electronic commerce. However, e-commerce has been able to create a technological proxy for the social filtering process, known as online recommender systems (RSs). RSs aid users in filtering products and decisions on matters relating to personal taste. RSs have the potential to support and improve the quality of the decisions consumers make when searching for and selecting products and services online. However, most previous research on RSs has focused on the accuracy of the algorithms, with little emphasis on user interface and perspectives. This study identified transparency and feedback as possible ways to effectively evaluate RSs from the user's perspective. Thus, this research focused on examining and identifying the roles of transparency and feedback in recommender systems and how they affect users' attitudes toward the system. Results of the study showed that both transparency and feedback positively and significantly affected perceived trust, perceived value of the process, and perceived enjoyment. Furthermore, we found that perceived trust, perceived value of the process, and perceived enjoyment positively and directly affected users' intentions to use/reuse a recommender system.

• Korean Chemical Engineering Research
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• v.60 no.1
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• pp.132-138
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• 2022

In this study, a basic study was performed to systematically compare the changes in surface properties according to the post-processing method of the stereolithography (SLA) printing method, which is a photocuring 3D printing method, and to provide information on the post-processing method suitable for the application. Although it was possible to improve some of the transparency of the SLA-type output by regularly changing the irregular microstructure of the surface through polishing, it was difficult to secure sufficient transparency like glass. The change in contact angle characteristics due to grinding showed a tendency to slightly increase as the grinding time increased and the particle size of the sandpaper used was small, but the variation between samples was large and the average contact angle was 77~90°, showing no statistically significant difference. Surface treatment methods other than polishing were tried, and it was confirmed that it was possible to easily and simply improve the transparency by applying a commercially available vehicle scratch remover or silicone oil. In addition, a method for securing high transparency such as glass by using a scratch remover after sequential grinding while reducing the particle size of the sandpaper was proposed. Finally, even after surface treatment through polishing and various methods, it was difficult to secure a contact angle of 90° or more.

• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.161-175
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• 2024

In this paper, we examined the causes of privacy concern and related factors in personalized recommendation service of OTT. On the basis of the 'Big Five Personality model,' we established factors such as agreeableness, neuroticism, conscientiousness, extraversion, and openness to experience. Additionally, we established factors such as accuracy, diversity, and novelty of OTT recommendation's services, and perceived transparency. we analyzed the relationship between privacy concern, service benefit, and intention to give personal information. Finally, we analyzed the mediating effect of service benefits on the relationship between privacy concern and intention to give personal information. The results of this study showed that (1) neuroticism, extraversion and openness to experience had the significant effects on privacy concerns, (2) perceived transparency had the significant effects on privacy concern, 3) privacy concern and service benefit had the significant effect on intention to give personal information, and (4) as a result of multi-group analysis towards low and high groups to verify the moderating effect by service benefits, a significant difference was observed between privacy concern and intention to give personal information. The findings of the study are expected to help the OTT firms' understanding towards users' privacy protection behaviors.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.9
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• pp.1928-1934
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• 2009

This paper proposes a power management scheme for sensor nodes in wireless sensor networks based on sensor node operating system supporting the sensor transparency, which can turn off the sensors when the MCU is in sleep mode. We classify the sensors in two types, that is, event sensors and polling sensors, to be able to decide whether the sensor is a type of sensors whose power supply can be turned off or not, and we design a new scheduler to support recognition of those different types of sensors. Implementing and evaluation of the scheduler and the power manager supporting sensor transparency are shown based on Nano-Q+.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.9
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• pp.3693-3711
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• 2020

e-Governance is a medium to offer various services to citizens through a web portal, that exists in many countries nowadays. The existing e-Governance technology is a vast, centrally managed database and a set of applications that connect to it via web interfaces. Despite the modernisation of services, it remains with the lack of transparency. Thus, the existing infrastructure of e-Governance paves the way for corrupt practises by the bureaucrats. e-Governance needs a powerful underlying technology which doesn't provide any way to allow tampering of the record and which in turn eliminates corruption. In this paper, we took land registration as a use-case for building e-Governance by keeping Blockchain as an underlying technology, to put off the corrupt practices and to bring transparency. Once transactions in land registration added to the Blockchain, it is immutable as it is cryptographically secured. Besides, the blockchain technology is secured as the ledger is distributed over the network. If a hacker wants to modify the ledger, he needs to hack every node in the blockchain network. Hyperledger Fabric, a permissioned Blockchain adopted for implementation and Hyperledger Caliper for performance analysis with these evaluation metrics such as throughput, latency and execution time.

• Asia pacific journal of information systems
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• v.26 no.3
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• pp.339-366
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• 2016

National and local governments around the world have been allowing access to administrative data to increase transparency, motivate civic engagement of citizens, and improve collaboration between the public and the government. This study reviews and classifies existing literature on open government data (OGD). To create a structure to organize the existing studies, the researchers devised a framework based on socio-technical theory and summarized the significance of studies along four major points: (1) readiness, (2) implementation, (3) emerging effects, and (4) actors of open data. Studies in OGD have been growing steadily in the recent years because of the rapid development of adoptable technologies that have enabled easier access to government data. Nonetheless, an examination of existing research not only shows a disparity in research and development of OGD across countries in the Open Government partnership program but also reveals pertinent issues that have arisen in different stages of the OGD initiative. The growing number of studies and expanding body of knowledge show the importance of organizing existing literature. This step is timely and significant to map out the current breadth and depth of OGD research. According to existing research, current open governments fall short in encouraging citizen participation and collaborations among citizens and the government. This study pointed out how studies on OGD actors might be the reason as well as the solution to existing findings. This paper aims to provide a framework for organizing OGD studies, present the status of OGD research, and provide recommendations on current gaps that must be addressed.

• Journal of the Korea Society of Computer and Information
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• v.3 no.2
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• pp.209-216
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• 1998

The Korean economy has been under the IMF-led rescue programs since the late 1997. For the transparency of financial currency, Korean government had made the Korean firms which are depend on each other financially compose the consolidated financial statements since 1985, because South Korea's financial crisis has been caused by a string of corporate failures that have put enormous strain on the banking system at a time when the won was plunging against the dollar. But there are many problems to get the transparency in the actions and accountability of both public and private institutions, because of the domestic corporations' structural characteristics and the law of accounting. This paper reviewed, therefore, some problems on the consolidated financial statements and advantages to introducing the combined financial statements through comparing the contents of those statements

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.289-294
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• 2008

어떤 자연언어 문서가 전달하려는 의미는 그 텍스트의 성격에 따라 아주 명확할 수도(예: 뉴스 문서), 아주 불분명할 수도 있다(예: 시). 이 연구는 이러한 '의미의 명확성(semantic transparency)'을 정량적으로 측정할 수 있다고 가정하고, 이 의미의 명확성을 판단하는 데에 단어들의 연쇄(word association)의 확률통계적 성질들이 어떻게 기능하는지에 대해 논한다. 이를 위해 특정 단어가 연쇄체를 형성하면서 발생하는 neighboring frequency와 degeneracy를 중심으로 Markov chain Monte Carlo scheme을 적용하여 의미망('Semantic Hypernetwork')으로 학습시킨 후 문서의 구성 단어들과 그 집합들 간의 연결 상태를 파악하였다. 우리는 의미적으로 그 표상이 분명하게 나뉘는 문서들(뉴스와 시)을 대상으로 이 모델이 어떻게 이들의 의미적 명확성을 분류하는지 분석하였다. Neighboring frequency와 degeneracy, 이 두 속성이 언어구조에서의 의미망 기억과 학습 탐색 기제에 유의한 기질로서 제안될 수 있다. 본 연구의 주요 결과로 1) 텍스트의 의미론적 투명성을 구별하는 통계적 증거와, 2) 문서의 의미구조에 대한 새로운 기질 발견, 3) 기존의 문서의 카테고리 별 분류와는 다른 방식의 분류 방식 제안을 들 수 있다.