• 한국산업융합학회 논문집
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• 제25권4_2호
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• pp.627-636
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• 2022

Market convergence plays an increasingly important role in sustaining competitiveness and providing impetus for the new product development. However, existing research focused mostly on the analysis of convergence at technology level. This study examines the phenomenon of market convergence based on the start-up data. Similar to the analysis of technology convergence, this study adopts the concept of co-classification analysis for constructing the co-occurrence matrix and the corresponding network. In this context, network centrality measures were calculated to assess the influence of individual market segments. Based on three metrics "growth", "persistence" and "novelty", the market convergence dynamics were explored and promising interactions between two distinct market segments were highlighted. The findings suggest that both segments "AI" and "blockchain" are acting as a driver that fosters market convergence in the startup landscape. The analysis results can provide valuable information for the R&D managers and policy makers in the design of targeted policies and programs, which can promote market convergence and interdisciplinary knowledge transfer.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2009년도 춘계학술대회 논문집
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• pp.7-10
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• 2009

우주발사체용 액체추진제 로켓엔진을 시동할 때 사용되는 터보펌프 시동기에 적용하고자 고체추진제 개발 및 특성 평가를 수행하였다. 터보펌프 시동기용 추진제의 배출가스는 기계적인 부식 또는 대기오염 등의 이유로 화염온도가 낮아야 하고 고체입자 잔사 및 독성이 적은 것이 바람직하며, 작동시간이 어느 정도 유지가 되어야 하기 때문에 비교적 낮은 연소속도가 필요하다. 본 연구에서는 PCP계열의 바인더를 사용하고 oxygen balance나 점화성에서 유리한 DHG(Dihydroxy glyoxime)을 냉각제를 사용하는 추진제 조성을 개발하여 연소속도와 기계적 물성 등의 특성평가를 실시하였으며, 최종적으로는 지상연소시험을 통하여 터보펌프 시동기의 성공적인 개발 가능성을 입증하였다.

• 한국통신학회논문지
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• 제33권1C호
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• pp.117-123
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• 2008

본 논문은 무선 환경에서의 향상된 경계 결정 기반의 Diffie-Hellman(DH) 키 일치 프로토콜을 제안한다. 제안하는 프로토콜에서는 경계 결정을 통해 두 사용자간에 주고받는 메시지의 무결성과 안정성을 보장한다. 본 논문은 종래의 경계 결정 기반의 DH 키 일치 프로토콜의 비효율적이고 불안정적인 측면을 보완하여 교환되어야 할 메시지 수와 관리해야 할 파라미터 수를 줄였으며 2(7682(k/64)-64) 개의 XOR 연산을 절감하였다. 또한 DH 공개 정보의 안전한 재사용을 가능하게 함으로써 사용자의 개입을 감소시킬 수 있다.

• 조명전기설비학회논문지
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• 제22권5호
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• pp.73-79
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• 2008

본 논문에서는 단상 유도전동기의 전자식 기동장치 개발에 관해 연구하였다. 전자식 기동장치는 콘덴서 기동형 단상 유도전동기의 보조권선 회로에 장착된 원심력 스위치를 대체하기 위해 활용된다. 개발된 전자식 기동장치는 보조권선의 전압을 관측하여 전동기가 정격속도에 가까워지면 보조권선을 전원으로부터 개방하는 역할을 수행한다. 범용 단상 유도전동기에 사용되고 있는 원심력스위치는 기계식 접점을 사용하기 때문에 접점에서 불꽃이 발생하고 전동기의 수명과 신뢰성을 저감시키는 요인이 된다. 개발된 전자식 기동장치는 무접점 반도체 스위치인 트라이악을 적용함으로써 전동기의 신뢰성과 특성이 개선될 수 있으며, 저전압 및 반복실험 등의 다양한 실험을 통해 신뢰성을 검증하였다.

• International journal of advanced smart convergence
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• 제10권4호
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• pp.72-83
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• 2021

The use of the predictive analytics (PA) powered by the artificial intelligence (AI) is more important in the movie sector during the COVID-19 pandemic, because Hollywood witnessed the impact of the 'Netflix Effect' and began to invest in data and AI. Our purpose is to discover a few cases of the AI centered PA in the movie industry value chain based on five objectives of PA: Compete, grow, enforce, improve, and satisfy. Even if movie companies' interest is to predict future success for competing with over-the-tops (OTTs) at a first glance, it is observed, once they start to use the PA with the AI, they try to utilize the enhanced PA platforms for remaining four objectives. As a result, ScriptBook, Vault, Pilot, Cinelytic and Merlin Video (Merlin) are use cases for the objective 'compete.' Movio of Vista Group International and Datorama of Salesforce are use cases for the objective 'grow.' Industrial Light & Magic (ILM) and Geena Davis Institute on Gender in Media (GDI) with Disney are use cases for the objective 'enforce.' Watson, Benjamin, and Greenlight Essential are use cases for the objective 'improve.' Disney Research (DR) with Simon Fraser University and California Institute of Technology is the use case for the objective 'satisfy.'

• 한국정밀공학회지
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• 제26권8호
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• pp.47-54
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• 2009

In this study, a simple and effective method was proposed to minimize electrolytic corrosion on the workpiece during ED-drilling using water as a working fluid. The adhesion of a cover plate onto the surface of the workpiece was greatly effective for suppressing electrolytic corrosion during ED-drilling. The experiment revealed that the adhesion of the cover plate prevented corrosion without causing significant changes in machining characteristics. Using the machining method proposed in this paper, electrolytic-corrosion-free holes can be machined without change in the machinery system. By using corrosion-free hole as a start hole for wire EDM, a lead frame die with high quality was fabricated successfully.

• 제어로봇시스템학회논문지
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• 제17권4호
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• pp.362-367
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• 2011

The collision-free path of a manipulator should be regenerated in the real time to achieve collision safety when obstacles or humans come into the workspace of the manipulator. A probabilistic roadmap (PRM) method, one of the popular path planning schemes for a manipulator, can find a collision-free path by connecting the start and goal poses through the roadmap constructed by drawing random nodes in the free configuration space. The path planning method based on the configuration space shows robust performance for static environments which can be converted into the off-line processing. However, since this method spends considerable time on converting dynamic obstacles into the configuration space, it is not appropriate for real-time generation of a collision-free path. On the other hand, the method based on the workspace can provide fast response even for dynamic environments because it does not need the conversion into the configuration space. In this paper, we propose an efficient real-time path planning by combining the PRM and the potential field methods to cope with static and dynamic environments. The PRM can generate a collision-free path and the potential field method can determine the configuration of the manipulator. A series of experiments show that the proposed path planning method can provide robust performance for various obstacles.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2008년도 한국우주과학회보 제17권2호
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• pp.25.3-26
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• 2008

The direct way to the moon is to start from the parking orbit by using impulsive thruster In previous domestic research, the direct way has been studied by using a single impulsive shot. However, when a single impulsive shot occurs to go into a Translunar orbit, gravity losses occur because thruster is not impulsive shot but the finite burns and it causes the gravity losses. To make up for the weak point of a single impulsive shot, this paper divides TLI (Trans Lunar Injection) into several small burns. Therefore, departure loop trajectory and the Translunar trajectory. This method is useful not only to reduce the gravity losses but also to check the condition of satellite. By using this method, this paper demostrates the optimized trajectory from Earth parking orbit to lunar mission orbit which minimizes the fuel, and the SNOPT (Sparse Nonlinear OPTimizer software) is used to find optimal solution. Also, this paper provides lunar mission profile which includes the mission schedule when TLI, LOI (Lunar Orbit Insertion) maneuvers occur, a mount of fuel when thruster is used and other mission parameters.

• International Journal of Control, Automation, and Systems
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• 제5권6호
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• pp.674-680
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• 2007

The probabilistic roadmap (PRM) method, which is a popular path planning scheme, for a manipulator, can find a collision-free path by connecting the start and goal poses through a roadmap constructed by drawing random nodes in the free configuration space. PRM exhibits robust performance for static environments, but its performance is poor for dynamic environments. On the other hand, reinforcement learning, a behavior-based control technique, can deal with uncertainties in the environment. The reinforcement learning agent can establish a policy that maximizes the sum of rewards by selecting the optimal actions in any state through iterative interactions with the environment. In this paper, we propose efficient real-time path planning by combining PRM and reinforcement learning to deal with uncertain dynamic environments and similar environments. A series of experiments demonstrate that the proposed hybrid path planner can generate a collision-free path even for dynamic environments in which objects block the pre-planned global path. It is also shown that the hybrid path planner can adapt to the similar, previously learned environments without significant additional learning.

• International Journal of Internet, Broadcasting and Communication
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• 제16권3호
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• pp.64-76
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• 2024

We study three sports media start-ups that seek to promote business model innovation (BMI) in which Web 3.0 and metaverse are converged. In results, LM starts from an innovative digital space platform offering a unique combination of virtual real estate, games, and non-fungible tokens (NFTs) which come with real-world earning potential. It creates value by integrating virtual real estate, training academies, blockchain games, and meta shops to offer a unique experience, capture value by offering monetization tools for buying and trading limited edition NFTs of favorite influencers from various sports leagues, offering access to premier real-world events and VIP game contests, and delivers value by building community to play games with favorite athletes or teams including trivia games, allowing fans to engage with their favorite athletes in a unique exclusive way. SL starts from the customizable digital identities especially for young sports fans like generation (gen) Z to play, hang out, and express themselves with their own avatars. SI starts from a leading Web3.0 metaverse innovator creating NFTs with the greatest athletes of all time, allowing athletes and creators to set up a profile and mint NFTs directly onto the blockchain. It tries to have the partnerships with great athletes revolutionizing the sports media industry to connect sports heroes and their super fans through an immersive, artistic, inspirational NFTs and unlockable content creating a sticky community between them.