• Proceedings of the Korean Institute of Surface Engineering Conference
• /
• 2003.05a
• /
• pp.3-3
• /
• 2003

고밀도 플라즈마를 생산할 수 있는 대면적용 플라즈마 소스의 개발은 미세전자구조 산업에서부터 FPD 산업에 이르기까지 많은 영역에 걸쳐 필수 불가결한 기술요소가 되어가고 있 다. 이러한 대면적용 고밀도 플라즈마에의 적용을 위하여 새로운 유도결합형 플라즈마 소오스의 개발이 진행되고 있으며, 차세대 반도체 식각 및 세정 공정을 위하여 여러 형태의 안 테나가 연구되어지고 있다. 그러나 TFT -LCD에 적용이 가능하게끔 기존의 ICP 소오스를 직 접적으로 대면적화 하는 데에는 여러 가지 문제점들로 인해 그 한계점이 들어났다. 그 예로 안테나의 길이가 길어짐에 따른 안테나 저항 값이 커지며, 안테나 소스 길이자체가 사용하는 인가전력(13.56MHz)의 반파장에 해당되는 길이가 되었을 경우 생기는 심각한 정상파 효과, 유전물질의 두께 증가 및 그에 따른 재료비의 상승 및 관리상의 어려움들이 바로 그것 이라 할 수 있겠다. 그러므로, 본 연구에서는 차세대 TFT -LCD 대면적 공정에 적용 가능한 고밀도 플라즈마 를 발생시키기 위해서 내장형 유도결합형 선혈 안테나를 사용하였다. 내장형 유도결합형 선 혈 안테나가 가지고 있는 고유의 정전기적 결합효과를 최소화시키기 위해 직사각형모앙의 플라즈마 댐버(830mm*1,020mm)에서 영구자석을 사용하여 multi-cusp 자장효과 및 다양 한 자장의 배열에 따른 플라즈마 특성변화를 살펴보았다. 영구자석을 사용하여 외부자장을 인가하였을 때가, 그럴지 않은 때보다 RF 안테나 코일의 전압을 낮춰주었으며, 영구자석의 배열에 따라 코일의 인덕턴스의 값이 크게 변함을 알 수 있었다. 그리고 최적화된 자장의 배열은 플라즈마의 이온밀도를 증가시켰으며, 플라즈마의 균일도도 10% 이내로 유지됨을 알 수 있었다. 또한 영구자석에 의한 자장의 유무 및 공정압력과 인가전력에 따른 P Photoresist Film의 식각특성에 관해 살펴보았다.증을 위한 실험.측정장비의 구입 및 업계와의 공동활용, 국내.외 최신기술 정보자료의 수집과 신속제공, 국내.외 전문가 초청 활 용, 미래 지향적 목적활용 기초연구사업 수행, 미래기술 동향예측 및 홍보 등을 통해 서 국내 도금기술의 기술자립 및 고도화를 위한 여건마련을 위하여 노력하고 있다.빛 이때의 부식속도(선형분극법), 인위적인 피막 파괴 전,후 의 전위 변화 및 부식속도 측정법에 의한 국부부식 발달 저지능 등을 평가하여 각 실험결과를 비교분석하여 보았다. 수록 민감하여 304 의 IGSCC 와 매우 유사한 거동을 보인다. 본 강연에서는 304 와 600 의 고온 물에서 일어나는 IGSCC 민감도에 미치는 환경, 예민화처리, 합금원소의 영향을 고찰하고 이에 대한 최근의 연구 동향과 방식 방법을 다룬다.다.의 목적과 지식)보다 미학적 경험에 주는 영향이 큰 것으로 나타났으며, 모든 사람들에게 비슷한 미학적 경험을 발생시키는 것 이 밝혀졌다. 다시 말하면 모든 사람들은 그들의 문화적인 국적과 사회적 인 직업의 차이, 목적의 차이, 또한 환경의 의미의 차이에 상관없이 아름다 운 경관(High-beauty landscape)을 주거지나 나들이 장소로서 선호했으며, 아름답다고 평가했다. 반면에, 사람들이 갖고 있는 문화의 차이, 직업의 차 이, 목적의 차이, 그리고 환경의 의미의 차이에 따라 경관의 미학적 평가가 달라진 것으로 나타났다.corner$적 의도에 의한 경관구성의 일면을 확인할수 있지만 엄밀히 생각하여 보면 이러한 예의 경우도 최락의 총체적인 외형은 마찬가지로 $\ulcorner$순응$\lrcorner$의 범위를 벗어나지 않는다. 그렇기 때문에도 $\ulcorner$순응$\lrcorner$과 $\ulcorner$표현$\lrcorner$

• The Journal of Society for e-Business Studies
• /
• v.26 no.3
• /
• pp.1-20
• /
• 2021

As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub-industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment.

• The Journal of Society for e-Business Studies
• /
• v.23 no.4
• /
• pp.63-85
• /
• 2018

The "About Us" page on the website of a corporation provides information regarding the organization's vision, philosophy, and values. We examine the association between institutional information provided on corporate websites (i.e., the "About Us" section) with present and future financial performance. Utilizing a text mining technique, we analyze the institutional information of S&P500 firms in the year 2016. We conduct a factor analysis including words that are intentionally repeated in the introductory text of corporate websites. The results of the analysis reveal that keywords from this institutional information can be grouped into six factors. We then carry out an ordinary least squares regression analysis to determine the associations between these six factors and present financial performance. The results show that keywords in Factor 2 (those related to Purchasing experience) are positively associated with ROE, a variable representing present financial performance, while keywords in Factor 1 (those related to Note to customers) show a negative relationship with ROE. On the other hand, keywords in Factor 1 have a positive relationship with Tobin's Q, a variable representing future financial performance. These results indicate that there is some relationship between the words used in the institutional information in this section of corporate websites and firms' financial performance. Hence, the institutional information on a website may be a useful indicator of current firm performance and future firm value.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.25 no.2
• /
• pp.178-188
• /
• 2019

When using a distributed system, it is very important to know the intention of a target ship in order to prevent collisions. The action taken by a certain ship for collision avoidance and the action of the target ship it intends to avoid influence each other. However, it is difficult to establish a collision avoidance plan in consideration of multiple-ship situations for this reason. To solve this problem, a Distributed Stochastic Search Algorithm (DSSA) has been proposed. A DSSA searches for a course that can most reduce cost through repeated information exchange with target ships, and then indicates whether the current course should be maintained or a new course should be chosen according to probability and constraints. However, it has not been proven how the parameters used in DSSA affect collision avoidance actions. Therefore, in this paper, I have investigated the effect of the parameters and weight factors of DSSA. Experiments were conducted by combining parameters (time window, safe domain, detection range) and weight factors for encounters of two ships in head-on, crossing, and overtaking situations. A total of 24,000 experiments were conducted: 8,000 iterations for each situation. As a result, no collision occurred in any experiment conducted using DSSA. Costs have been shown to increase if a ship gives a large weight to its destination, i.e., takes selfish behavior. The more lasting the expected position of the target ship, the smaller the sailing distance and the number of message exchanges. The larger the detection range, the safer the interaction.

• Korean Journal of Clinical Laboratory Science
• /
• v.51 no.2
• /
• pp.185-190
• /
• 2019

Compression stockings are widely used for prevention of varicose vein. Depending on manufacture, there are diverse types of compression stockings available. Most common type of compression stocking might be the one cover calf of a lower leg which has 20~30 mmHg pressure. Despite being widely used, possible side effects that may occur by wearing compression stockings have not been studied much. We analyzed for a long wearing effect of compression stocking. Participants wore the compression stocking over one leg for 7 days. During the period, all the participants did their ordinary works wearing the compression stocking. Electrocardiogram (ECG), ankle-brachial index (ABI), blood pressure (BP), and electromyogram (EMG) were measured at 0 day, 3rd day and 7th day. There was no effect of wearing compression stockings from ECG, ABI or BP. Only EMG that was measured on the covered muscle increased proportionally to the wearing time. Interestingly, EMG from the opposite leg that had never been covered by compression stocking decreased in proportion to the wearing date. These results suggest wearing a compression stocking for varicose vein may cause unintentional increase or decrease of EMG from the wearing or non-wearing legs, respectively.

• Korean Journal of Construction Engineering and Management
• /
• v.22 no.1
• /
• pp.3-12
• /
• 2021

In the remodeling projects, clients without architectural expertise have limitations in presenting requirements accurately. In some cases, designers and contractors may not recognize their demands exactly, and deliver final products that are different from the clients' intentions. 3D modeling visualizing final products in previous has been regarded as a solution to enhance understanding and communication. However, this approach has the limitation that the final results are presented as a virtual outputs. In the remodeling project, an alternative, mixed-reality, is likely to reinforce the reality as it enables to present remain structure and the parts to be built together. This paper examines the mixed reality as a solution to support decision making of clients and practitioners in remodeling projects. The examinations is conducted in high-rise office remodeling projects by means of action-research. Clients and practitioners, overview product models presented in the format of 2D drawings, BIM and mixed reality asked to evaluate the effectiveness of each methods in 12 standards. The results have shown that mixed reality has improved the sense of reality, making it easier to predict results, but recognizing patterns is difficult in some areas such as the floor, and it caused dizziness.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.1
• /
• pp.138-148
• /
• 2021

This study explores the factors that moderate the impact of competitive strategy on resource sharing in order to explain why existing empirical research has not shown statistically significant results. We test the hypothesis that competitive strategy pursuing low-cost rather than differentiation increases resource sharing and analyze how the relationship between competitive strategy and resource sharing changes when diversification, interconnectedness, centralization of authority, and resource level are entered into the equation as moderating variables. According to the results, competitive strategy doesn't affect resource sharing alone, but it has significant effects on resource sharing when it is combined with interconnectedness, centralization of authority, and resource level, except for diversification. This means that low-cost strategy increases resource sharing under the conditions of high interconnectedness, more centralized authority, and low resource level. The prior discussions have focused on the willingness or intentions of resource sharing without considering the abilities or possibilities. Our findings indicate that resource sharing could be better predicted by using moderating variables reflecting the abilities or possibilities. The contribution of the study is that we discover and complement the vulnerability in the logic of resource sharing.

• Journal of Intelligence and Information Systems
• /
• v.29 no.3
• /
• pp.19-36
• /
• 2023

As advances in information and communication technology have made it easier for anyone to produce and disseminate information, a new problem has emerged: fake news, which is false information intentionally shared to mislead people. Initially spread mainly through text, fake news has gradually evolved and is now distributed in multimedia formats. Since its founding in 2005, YouTube has become the world's leading video platform and is used by most people worldwide. However, it has also become a primary source of fake news, causing social problems. Various researchers have been working on detecting fake news on YouTube. There are content-based and background information-based approaches to fake news detection. Still, content-based approaches are dominant when looking at conventional fake news research and YouTube fake news detection research. This study proposes a fake news detection method based on background information rather than content-based fake news detection. In detail, we suggest detecting fake news by utilizing related video information from YouTube. Specifically, the method detects fake news through CNN, a deep learning network, from the vectorized information obtained from related videos and the original video using Doc2vec, an embedding technique. The empirical analysis shows that the proposed method has better prediction performance than the existing content-based approach to detecting fake news on YouTube. The proposed method in this study contributes to making our society safer and more reliable by preventing the spread of fake news on YouTube, which is highly contagious.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.891-899
• /
• 2024

The Fourth Industrial Revolution is centered on a personalized demand fulfillment economy and is all about transformation and flexible processing that can deliver what customers want in real time across space and time. This paper implements the construction and operation of a packaging platform that can instantly procure the required packaging products based on real-time orders and evaluates its performance. The components of customer satisfaction are flexible and dependent on the situation which requires efficient management of enterprise operational processes based on an e-SCM platform. An OMS optimized for these conditions plays an important role in maximizing and differentiating the efficiency of a company's operations and improving its cost advantage. OMS is a system of mass customization that provides efficient MOT(Moment of Truth) logistics services to meet the eco-friendly issues of many individual customers and achieve optimized logistics operation goals to enhance repurchase intentions and sustainable business. OMS precisely analyzes the collected data to support information and decision-making related to efficiency, productivity, cost and provide accurate reports. It uses data visualization tools to express data visually and suggests directions for improvement of the operational process through statistics and prediction analysis.

• Journal of Internet Computing and Services
• /
• v.22 no.1
• /
• pp.41-50
• /
• 2021

Cyber Kill Chain is derived from Kill chain of traditional military terms. Kill chain means "a continuous and cyclical process from detection to destruction of military targets requiring destruction, or dividing it into several distinct actions." The kill chain has evolved the existing operational procedures to effectively deal with time-limited emergency targets that require immediate response due to changes in location and increased risk, such as nuclear weapons and missiles. It began with the military concept of incapacitating the attacker's intended purpose by preventing it from functioning at any one stage of the process of reaching it. Thus the basic concept of the cyber kill chain is that the attack performed by a cyber attacker consists of each stage, and the cyber attacker can achieve the attack goal only when each stage is successfully performed, and from a defense point of view, each stage is detailed. It is believed that if a response procedure is prepared and responded, the chain of attacks is broken, and the attack of the attacker can be neutralized or delayed. Also, from the point of view of an attack, if a specific response procedure is prepared at each stage, the chain of attacks can be successful and the target of the attack can be neutralized. The cyber command and control system is a system that is applied to both defense and attack, and should present defensive countermeasures and offensive countermeasures to neutralize the enemy's kill chain during defense, and each step-by-step procedure to neutralize the enemy when attacking. Therefore, thist paper proposed a cyber kill chain model from the perspective of defense and attack of the cyber command and control system, and also researched and presented the threat classification/analysis/prediction framework of the cyber command and control system from the defense aspect