• 한국벤처창업학회:학술대회논문집
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• 2019.11a
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• pp.129-134
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• 2019

계속 높아지는 기업가정신과 창업의도에도 불구하고 2017년 OECD 보고서에 따르면 한국은 실패에 대한 두려움이 높은 국가로 전체 7위롤 기록했다. 실패 후 신용 불량으로 인한 재기 불가능에 대한 인식이 여전히 팽배해 창업을 저해하는 요인으로 아직까지 큰 비중을 차지하고 있다. 그러므로 실패에 대해 관용적인 문화와 실패를 통한 학습 독려, 실패 기업인의 재도전 지원 활성화 정책은 한국을 진정한 창업국가로 변모하게 할 것이다. 그러나 무엇보다 실패를 경험한 창업가 본인 자신이 새롭게 재기에 임하는 마음가짐이 중요하므로 본 연구의 목적 역시 재창업자가 다시 창업에 어떤 자세로 임해야 하는지 찾고자 하는데 있다. 따라서 본 연구는 재기에 성공한 4명의 사업가와 재도전을 했으나 여전히 성과를 못 내고 있는 5명의 사업가를 인터뷰하여 재도전의 성공 요인을 탐색하고자 한다. 연구 결과, 재기 창업가가 재도전 성공을 위해 가져야 할 자세와 역량을 1) 지식(knowledge), 2) 인지(cognition), 3) 감정(emotion) 이상 3가지 관점에서 기존의 연구가 다루지 못한 접근법을 제안한다. 먼저, 지식 관점에서 보면 기존 사업과의 동질성 여부가 중요한 것이 아니라, 새롭게 진출하는 영역에 대한 준비성이 재도전의 성공 여부에 영향을 미쳤다. 다음으로, 인지적 관점에서는 과거 실패의 원인에 대한 분석과 자기 실책으로의 귀인은 차이를 보이지 않았고 오히려 앞으로 영위할 사업에 대한 여러 사람들의 지적과 충고에 대한 수용 역량(coachability)이 성공과 실패를 나눴다. 마지막으로 감정 관점에서 선행연구는 실패로부터 슬픔을 빨리 극복하는 사람이 학습과정도 빨리 이뤄지는 것으로 여겨졌으나, 슬픔의 극복은 재기 후 성과와는 관련이 없었으며, 본 연구에서는 재기 전 생계유지가 가능한 상태 여부가 성공의 선행조건이 될 수 있음을 발견하였다.

• Journal of Information Technology Services
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• v.20 no.3
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• pp.1-12
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• 2021

Reactor Coolant Pump (RCP) is core part of nuclear power plant to provide the forced circulation of reactor coolant for the removal of core heat. Properly monitoring vibration of RCP is a key activity of a successful predictive maintenance and can lead to a decrease in failure, optimization of machine performance, and a reduction of repair and maintenance costs. Here, we developed real-time RCP Vibration Analysis System (VAS) that web based platform using NoSQL DB (Mongo DB) to handle vibration data of RCP. In this paper, we explain how to implement digital signal process of vibration data from time domain to frequency domain using Fast Fourier transform and how to design NoSQL DB structure, how to implement web service using Java spring framework, JavaScript, High-Chart. We have implement various plot according to standard of the American Society of Mechanical Engineers (ASME) and it can show on web browser based on HTML 5. This data analysis platform shows a upgraded method to real-time analyze vibration data and easily uses without specialist. Furthermore to get better precision we have plan apply to additional machine learning technology.

• Safety and Health at Work
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• v.15 no.1
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• pp.24-32
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• 2024

Background: Learning from incidents for accident prevention is a two-stage process, involving the investigation of past accidents to identify the causal factors, followed by the identification and implementation of remedial measures to address the identified causal factors. The focus of past research has been on the identification of causal factors, with limited focus on the identification and implementation of remedial measures. This research begins to contribute to this gap. The motivation for the research is twofold. First, previous analyses show the recurring nature of accidents within the Ghanaian mining industry, and the causal factors also remain the same. This raises questions on the nature and effectiveness of remedial measures identified to address the causes of past accidents. Secondly, without identifying and implementing remedial measures, the full benefits of accident investigations will not be achieved. Hence, this study aims to assess the nature of remedial measures proposed to address investigation causal factors. Method: The study adopted SMARTER from business studies with the addition of HMW (H - Hierarchical, M - Mapping, and W - Weighting of causal factors) to analyse the recommendations from 500 individual investigation reports across seven different mines in Ghana. Results: The individual and the work environment (79%) were mostly the focused during the search for causes, with limited focus on organisational factors (21%). Forty eight percentage of the recommendations were administrative, focussing on fixing the problem in the immediate affected area or department of the victim(s). Most recommendations (70.4%) were support activities that only enhance the effectiveness of control but do not prevent/mitigate the failure directly. Across all the mines, there was no focus on evaluating the performance of remedial measures after their implementation. Conclusion: Identifying sharp-end causes leads to proposing weak recommendations which fail to address latent organisational conditions. The study proposed a guide for effective planning and implementation of remedial actions.

• Korean Journal of Cognitive Science
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• v.6 no.1
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• pp.47-71
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• 1995

A psychological disturbance caused by letters in double image was termed as'letter sickness'.The effects of stimulus exposure time and letter familiarity on the letter sickness were measured to test a hypothesis that disturbances in eye movement and recognition stages is the cause of letter sickness.Letter sickness incteased significantly as stimulus exposure time lengthened from 50ms,100ms,to 3000ms.It was also significantly higher with familiar Hangul letters as compared with less familiar foreign letters and meaningless words as compared with meaningful words,respectively.These experimental findings imply that letter sickness is caused by the failure of adjusting eye movements to dismiss the double images.that the more familiar the letters.the more strongly the letter-identification process is commotted,resulting in the increased effect of disturbance from double image.and that the disturbance effect of double image is amplified when it is hard to extract the meaning from familiar letters.An experiment where subjects were made to learn Braille-like symbols consisting of 6 dots to test the hypothesis that the stronger the tendency to process the meaning of a symbol,the stronger becomes letter sickness due to double image,also showed that letter sickness significantly increased as a function of learning.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.3
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• pp.9-14
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• 2022

In the IoT(internet of things) where various devices can be connected, failure of essential devices may lead to a lot of economic and life losses. For reducing the losses, fault diagnosis techniques have been considered an essential part of IoT. In this paper, the method based on a graph neural network is proposed for determining fault and classifying types by extracting features from vibration data of systems. For training of the deep learning model, fault dataset are used as input data obtained from the CWRU(case western reserve university). To validate the classification performance of the proposed model, a conventional CNN(convolutional neural networks)-based fault classification model is compared with the proposed model. From the simulation results, it was confirmed that the classification performance of the proposed model outweighed the conventional model by up to 5% in the unevenly distributed data. The classification runtime can be improved by lightweight the proposed model in future works.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.6
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• pp.17-29
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• 2021

Recently, as social distancing have been raised due to the re-spread of COVID-19, the number of serial entrepreneurs who are closing their business is rapidly increasing. Learning from failure is a source of success, but business failure can result in psychological and economic losses and negative emotions of the serial entrepreneur. At this point, it is very important to find a way to recover the negative emotions caused by business failures of serial entrepreneurs. Recently, a strategic model has emerged to deal with the negative emotions of grief caused by business failures of serial entrepreneurs. This study identified the recovery factors from the grief of business failures of serial entrepreneurs and analyzed Shepherd's(2003) three areas: loss orientation, restoration orientation, and dual process. To this end, individual in-depth interviews were conducted with 12 small business serial entrepreneurs who challenged re-startup to identify the attributes of recovery factors that were not identified with quantitative data. As a result of the study, first, recovery factors were investigated in three areas: individual orientation, family orientation, and network orientation. It was found to help improve recovery in nine categories: self-esteem, persistence, personal competence, hobbies, self-confidence, family support, networks, religion, and social support. Second, recovery obstacle factors were investigated in three areas: psychological, economic, and environmental factors. Nine categories including family, health, social network, business partner, competitor, partner, fund, external environment, and government policy were found to persist negative emotions. Third, the emotional processing process for grief was investigated in three areas: loss orientation, restoration orientation, and dual process. Ten categories such as family, partner support, social member support, government support, hobbies, networks, change of business field, moving, third-party perspective, and meditation were confirmed to enhance rapid recovery in the emotional processing process for grief. The implications of this study are as follows. The process of recovering from the grief caused by business failures of serial entrepreneurs was attempted by a qualitative study. By extending the theory of Shepherd(2003), This study can be applied to help with recovery research. In addition, conceptual models and propositions for future empirical research were presented, which can be discussed in carious academic ways.

• Journal of the Ergonomics Society of Korea
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• v.34 no.5
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• pp.455-467
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• 2015

Objective: The present study suggested practical measures for successful patent registration based on a review of success and failure cases of patent application filed based on inventions obtained from physical ergonomics research. Background: The protection of intellectual property (IP) contributes to economic growth and competitiveness and facilitates innovation and creativity. IP rights are pursued on research findings for effective technology transfer and commercialization; however, a patent application can be rejected if patentability requirements such as patent eligible subject matter, utility for industrial application, novelty, or non-obviousness are not satisfied. Method: Three successful and three failed cases of patent applications based on physical ergonomics research were reviewed, critical reasons for their successes and failures were examined, and measures were proposed to avoid failures in patent registration. Results: The following measures were identified based on the patent application case review. First, abstract ideas including logical procedures and/or mathematical formulas need to include use of tangible apparatus and methods in idea realization. Second, the provision of grace period inventor disclosure exception needs to be properly followed in case an invention is disclosed before filing of patent application. Lastly, a comprehensive analysis of prior art published or publicly known anywhere in the world and a claim preparation of distinguished, non-trivial features compared to prior art solutions are needed to avoid possible violation of novelty and non-obviousness. Application: The proposed measures can help to prepare a patent application with patent eligibility.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.263-271
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• 2016

Software requirement analysis is necessary for successful software development project. Specially, incomplete requirement is the most influential causes of software project failure. Incomplete requirement can bring late delay and over budget because of the misunderstanding and ambiguous criteria for project validation. Software requirement patterns can help writing more complete requirement. These can be a reference model and standards when author writing or validating software requirement. Furthermore, when a novice writes the software scenario, the requirement patterns can be one of the guideline. In this paper proposes an automatic approach to identifying software scenario patterns from various software scenarios. In this paper, we gathered 83 scenarios from eight industrial systems, and show how to extract 54 scenario patterns and how to find omitted action of the scenario using extracted patterns for the feasibility of the approach.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.33-39
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• 2020

Developers spend considerable time manually repairing code that was not built during project construction. If the build fails, it is necessary to understand the failed execution, identify the cause of the failure, and then implement the solution. Build tools such as Gradle have been developed to reduce this effort and automate project construction. However, build tools still do not solve many errors, requiring developers to try to solve build errors. In this study, we propose a solution recommendation method to increase the success rate of Gradle build and reduce the effort required to resolve errors. We provide a way to collect build errors and a way to transition from build error messages to successful builds. In particular, 296 build error messages collected from Github's Java project are classified as solutions, and 89% show that the solution can be applied.

• Journal of English Language & Literature
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• v.54 no.4
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• pp.483-509
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• 2008

For the last decades, criticism on Frankenstein has tried to make a link between Victor's Creature and Rousseaurean "man in a state of nature." Like the Rousseaurean savage in a state of animal, the monster has only basic instincts least needed for his survival, i.e. self-preservation, but turns into a civilized man after learning language. Most critics argue that, despite the monster's acquisition of language, his failure in entry into a cultural and linguistic community is the outcome of a lack of sympathy for him by others, which displays the stark existence of epistemological barriers between them. That is to say, the monster imagines his being the same as others in the pre-linguistic stage but, in the linguistic stage, he realizes that he is different from others. Interpreting the Rousseaurean idea of language, which appears in his writings, as much more focused on emotion than many critics think, I read the dispute between Victor and his Creature as a variation of parent-offspring conflict. Shelley criticizes Rousseau's parental negligence in putting his children into a foundling hospital and leaving them dying there. The monster's revenge on uncaring Victor parallels the likely retaliation Rousseau's displaced children would perform against Rousseau, which Shelley imaginatively reproduces in her novel. The conflict between the monster and Victor is due to a disrupted attachment between parent and child in terms of Darwinian developmental psychology. Affective asynchrony between parent and child, which refers to a state of lack of mutual favorable feelings, accounts for numerous dysfunctional families. This paper shifts a focus from a semiotics-oriented perspective on the monster's social isolation to a Darwinian perspective, drawing attention to emotional problems transpiring in familial interactions. In doing so, it finds that language is a means of communicating one's internal emotions to others along with other means such as facial expressions and body movements. It also demonstrates that how to promote emotional well-being in either familial or social relationships entirely depends on the way in which one employs language that can entail either pleasure or anger on hearers' part.