• 정보관리학회지
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• 제20권1호
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• pp.53-73
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• 2003

본 연구에서는 ISA 데이터베이스를 이용해서 국가별 즉, 한국과 일본의 문헌정보학 연구자들의 연구동향을 규명하기 위하여 세계적인 데이터뱅크인 DIALOG에서 운영하는 문헌정보학분야의 대표적인 데이터베이스인, ISA 데이터베이스에 수록된 논문을 대상으로 다각적인 측면에서 분석하였다. 또한 ISA 데이터베이스에 수록된 문헌에서 인용한 문헌을 형태별 / 연도별 및 국내외별로 분석함으로 써 한국과 일본의 문헌정보학 연구자들의 인용형태를 분석하였다. 본 연구는 향후 문헌정보학의 국제화 및 우리 학문의 연구방향을 제시 할 것으로 본다.

• Advances in Energy Research
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• 제3권2호
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• pp.97-115
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• 2015

Energy holds key to economic growth and prosperity of India. Currently, India has very high-energy import dependence, especially in the case of crude oil (80%) and natural gas (40%). Even coal import has been increasing over the years. Considering India's population growth, emphasis on manufacturing, production, and service industry, energy consumption is bound to increase. More fossil energy consumption means greater dependence on energy import leading to widening trade deficit and current account deficit. Therefore, exploitation of indigenous renewable energy production is necessary. The paper reviews the progress and growth of renewable energy production, distribution, and consumption in India. The paper highlights some of the enablers of renewable energy in India. The authors discuss the opportunities and challenges of increasing share of renewable energy to reduce energy import and address issues of energy security in India. The findings suggest that India is ready for a quantum leap in renewable production by 2022.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.2993-3010
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• 2021

The job shop scheduling problem (JSSP) plays a critical role in smart manufacturing, an effective JSSP scheduler could save time cost and increase productivity. Conventional methods are very time-consumption and cannot deal with complicated JSSP instances as it uses one optimal algorithm to solve JSSP. This paper proposes an effective scheduler based on deep learning technology named self-supervised long-short term memory (SS-LSTM) to handle complex JSSP accurately. First, using the optimal method to generate sufficient training samples in small-scale JSSP. SS-LSTM is then applied to extract rich feature representations from generated training samples and decide the next action. In the proposed SS-LSTM, two channels are employed to reflect the full production statues. Specifically, the detailed-level channel records 18 detailed product information while the system-level channel reflects the type of whole system states identified by the k-means algorithm. Moreover, adopting a self-supervised mechanism with LSTM autoencoder to keep high feature extraction capacity simultaneously ensuring the reliable feature representative ability. The authors implemented, trained, and compared the proposed method with the other leading learning-based methods on some complicated JSSP instances. The experimental results have confirmed the effectiveness and priority of the proposed method for solving complex JSSP instances in terms of make-span.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.333-339
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• 2022

The purpose of the article is to identify priority trends of technological innovations and strategic opportunities for using the smart potential to the benefit of the Russian industrial production development in the context of digital transformation. The article substantiates the demand for technological process automation at industrial enterprises in Russia and considers the possibilities of using artificial intelligence and the implementation of smart manufacturing in the industry. The article reveals the priorities of the leading Russian industrial companies in the field of digitalization, namely, an expansion of the use of cloud technologies, predictive analysis, IaaS services (virtual data storage and processing centers), supervisory control, and data acquisition (SCADA), etc. The authors give the characteristics of the monitoring of the smart manufacturing systems development indicators in the Russian Federation, conducted by Rosstat since 2020; presents projected data on the assessment of the required resources in relation to the instruments of state support for the development of smart manufacturing technologies for the period until 2024. The article determines targets for the development of smart technologies within the framework of the Federal Project "Digital Technologies".

• Journal of the Korean Wood Science and Technology
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• 제49권3호
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• pp.254-266
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• 2021

Using forest resources involves solving complex and diverse tasks. At the same time, one of the key goals in the field is improving the quality of forest infrastructure. This direction requires adequate mathematical and economic justification. Moreover, creating an effective infrastructure will not only increase the accessibility and usage volumes of wood and other forest resources, but also contribute to the development of continuous and sustainable forest management. The existing practice of making decisions in terms of the organizational and technological aspects of logging, based on the personal experiences of managers or leading specialists in enterprises, hinders the achievement of constant optimal efficiency. The paper presents results that are a continuation of the research cycle of the authors' team in the fields of optimization and algorithmization of various logging processes. The focus of the study lies in the processing and movement of wood resources, the most valuable products of the investigated groups of enterprises. To this end, the paper presents a developed algorithm for determining an effective technological chain of transportation in logging operations, and for improving loading and unloading processing operations under dynamic natural and production conditions. This algorithm serves as the methodological basis for designing logging infrastructure in a dynamically changing environment.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.336-343
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• 2022

Industrial robotic arms are widely adopted in numerous industries for manufacturing automation under factory settings, which eliminates the limitations of manual labor and provides significant productivity and quality benefits. The U.S. modular construction industry, despite having similar controlled factory environments, still heavily relies on manual labor. Thus, this study investigates the U.S., Canada, and Europe-based leading modular construction companies and research labs implementing industrial robotic arms for manufacturing automation. The investigation mainly considered the current research scope, industry state, and constraints, as well as identifying the types and specifications of the robotic arms in use. First, the study investigated well-recognized modular building associations, the Modular Building Institute (MBI), and renowned architecture design magazine, Dezeen to gather industry updates. The authors discovered one university lab and a few companies that adopted Switzerland-based robotic arms, ABB. Researching ABB robotics led to the discovery of ABB's competitor, Germany-based KUKA robotic arms. Consequently, research extended to the companies and labs adopting KUKA models. In total, this study has identified seven modular companies and four research labs. All companies employed robotic arms and gantry robot combinations in a production-line-like system for partial automation, and some adopted design standardization for optimization. The common goal among the labs was to achieve greater flexibility and full automation with robotic arms. This study will help companies better implement robotic arm automation by providing recommendations from investigating its current industry status.

• Tribology and Lubricants
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• 제32권2호
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• pp.61-66
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• 2016

Total thickness variation (TTV), BOW, and surface roughness are essential characteristics for high quality sapphire substrates. Many researchers have attempted to increase removal rate by controlling the key process parameters like pressure and velocity owing to the high cost of consumables in sapphire chemical mechanical polishing (CMP). In case of the pressure approach, increased pressure owing to higher deviation of pressure over the wafer leads to significant degradation of the TTV. In this study, the authors focused on reducing TTV under the high-pressure conditions. When the production equipment polishes multiple wafers attached on a carrier, higher loads seem to be concentrated around the leading edge of the head; this occurs because of frictional force generated by the combination of table rotation and the height of the gimbal of the polishing head. We believe the skewed pressure distribution during polishing to be the main reason of within-wafer non-uniformity (WIWNU). The insertion of a hub ring between the polishing head and substrate carrier helped reduce the pressure deviation. Adjusting the location of the hub ring enables tuning of the pressure distribution. The results indicated that the position of the hub ring strongly affected the removal profile, which confirmed that the position of the hub ring changes the pressure distribution. Furthermore, we analyzed the deformation of the head via finite element method (FEM) to verify the pressure non-uniformity over the contact area Based on experiment and FEM results, we determined the optimal position of hub ring for achieving uniform polishing of the substrate.

• Wind and Structures
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• 제13권6호
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• pp.557-580
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• 2010

A new inflow turbulence generation method and a combined dynamic SGS model recently developed by the authors were applied to evaluate the wind effects on 508 m high Taipei 101 Tower. Unlike the majority of the past studies on large eddy simulation (LES) of wind effects on tall buildings, the present numerical simulations were conducted for the full-scale tall building with Reynolds number greater than $10^8$. The inflow turbulent flow field was generated based on the new method called discretizing and synthesizing of random flow generation technique (DSRFG) with a prominent feature that the generated wind velocity fluctuations satisfy any target spectrum and target profiles of turbulence intensity and turbulence integral length scale. The new dynamic SGS model takes both advantages of one-equation SGS model and a dynamic production term without test-filtering operation, which is particular suitable to relative coarse grid situations and high Reynolds number flows. The results of comparative investigations with and without generation of inflow turbulence show that: (1) proper simulation of an inflow turbulent field is essential in accurate evaluation of dynamic wind loads on a tall building and the prescribed inflow turbulence characteristics can be adequately imposed on the inflow boundary by the DSRFG method; (2) the DSRFG can generate a large number of random vortex-like patterns in oncoming flow, leading to good agreements of both mean and dynamic forces with wind tunnel test results; (3) The dynamic mechanism of the adopted SGS model behaves adequately in the present LES and its integration with the DSRFG technique can provide satisfactory predictions of the wind effects on the super-tall building.

• 과학기술학연구
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• 제1권2호
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• pp.343-369
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• 2001

생명공학의 사회적 함의에 대한 논의를 위해서는 일반 시민의 인식과 형성과정에 대해 파악할 필요가 있다. 이에 따라 생명공학에 대한 ELSI (Ethical, Legal and Social Implications) 연구의 일환으로 필자는 생명공학에 대한 사회적 인식의 지형을 정기적으로 조사하는 프로젝트를 시작하였다. 본 논문은 이 조사 프로젝트의 한 부분으로 생명공학에 대한 인지도 수준과 태도를 파악하고 관련 요인을 찾아보았다. 인식조사는 전국 성인남녀 500명을 대상으로 전화면접방법을 이용하여 이루어졌으며, 표본은 유층표집방법을 이용하여 추출하였다. 조사결과 의료 관련 생명공학에 대해서는 긍정적인 태도가 많았지만, 유전정보의 사회적 관리 및 유전자 변형식품에 대해서는 부정적 태도가 긍정적 태도와 비슷한 수준이거나 아니면 더 많았다. 그리고 인지도 수준이 높을수록 태도가 더 명확하였다. 또한 이러한 시민들의 태도는 아직 잠정적인 느낌 수준인 경우가 많으며, 매스미디어의 영향을 많이 받은 것으로 나타났다. 이러한 연구결과는 생명공학에 대한 사회적 함의에 대한 논의가 보다 건설적이기 위해서는 우선 생명공학에 대한 정보의 생산과 유통이 보다 활성화될 필요가 있다는 것을 보여준다.

• 예술경영연구
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• 제56호
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• pp.243-274
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• 2020

국내의 메이커문화는 2012년 '메이커페어 서울'의 개최를 계기로 본격 시작된 후 대중들에게 큰 관심을 받으며 트렌드를 형성하기 시작했다. 정부와 지방자치단체 역시 이 흐름에 주목하여 메이커문화를 공공정책의 대상으로 포섭하기 시작하는데, 정책적 영역에서 메이커문화는 창조산업, 창조도시, 4차산업혁명 등의 정책 담론을 아우르는 창조경제의 범주 안에서 추진되었다. 창조경제는 경기 침체를 극복하고 경제 활성화를 위해 공적 영역에서 만들어진 공공정책 담론이다. 창조산업과 창조경제에서 창조성과 문화예술은 필수불가결한 것으로 다루어지지만 오직 경제 창출로 이어졌을 때만 그것의 가치에 대한 궁극적인 인정이 이루어지므로 창조성과 문화예술은 대상화되고 소외된다. 본 연구는 메이커문화 역시 창조경제의 범주 안에서 추진되었기에 창조성과 문화예술처럼 대상화되고 소외되고 있다고 보았다. 서울시가 추진하고 있는 '메이커시티세운' 사례를 통해 이를 확인하였다. 그 결과 현재 서울시의 세운상가 일대를 둘러싼 도시개발 계획은 해당 일대의 기술 생태계를 파괴하는 방향으로 진행되고 있어 메이커문화를 장려하고 육성하여 4차 산업혁명을 선도한다는 그 취지에 부합하지 않는다는 사실이 드러났다. 또한 메이커시티 세운이 창조경제, 창조도시라는 담론으로 포장되어 있지만 담론의 한계로 비판받아왔던 문화예술의 소외와 노동 소외의 문제가 동일하게 드러나고 있다는 사실까지 밝힐 수 있었다.