• 기술혁신학회지
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• 제14권spc호
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• pp.1187-1208
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• 2011

본 연구는 기업의 보유자원(역량) 기반 관점에서 기업이 필요로 하는 유망기술 도출 모형을 제시하고자 하였다. 이를 위해서 첫째, 중소기업과 유망기술에 대한 고찰을 통해 중소기업이 필요로 하는 유망기술에 대해 개념적으로 정의하였다. 둘째로, 연구의 개념적 틀을 제시하고 X사의 사례 분석을 통하여 제시된 연구의 틀에 대한 유용성을 검증하였다. 기업이 진입해 있는 기술, 용도, 제품분야 키워드를 기준으로 기업의 진입영역을 대리하는 참조특허집합(reference patent set)을 구성하였다. 분석데이터는 참조특허집합을 두 단계까지 전방인용(forward citation)한 특허로 대상을 확장하여 구성하였다. 분석특허 풀에서 전문가가 선정한 키워드를 기준으로 클러스터 분석을 수행하고 클러스터의 활동성, 참조특허집합과의 관련성 지표를 기준으로 군집별 유망성을 분류하였다. 마지막으로 기업이 접근 가능한 영역에 대한 잠재 포트폴리오를 표현하고 기업이 단계적으로 접근가능한 유망영역, 모니터링 대상, 모니터링 제외대상 영역을 도출하였다.

• 융합보안논문지
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• 제17권2호
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• pp.153-158
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• 2017

로봇은 인간을 모방하여 외부환경을 인식하고 상황을 판단하며 자율적으로 동작하는 기계를 의미한다. 로봇은 제조용 로봇과 서비스용 로봇으로 구분하고 서비스용 로봇은 전문서비스용 로봇과 개인서비스용 로봇으로 분류된다. 최근 제조업의 생산성 경쟁 심화, 안전 이슈 부상, 저출산과 고령화 심화로 인해 로봇산업이 부상하고 있다. 최근 로봇산업은 첨단기술 분야의 복합체로 기술혁신성과 성장잠재력을 가지고 있기 때문에 각광받고 있는 산업분야이다. IT, BT 및 NT 관련 요소들이 융합되어 구현되는 기술로서 그 파급효과는 매우 커지고 있다. 사회구조와 생활패턴의 변화로 인해 생명 연장과 건강에 대한 사회적인 관심이 높아지고 있으며 의료관련 분야에 많은 관심이 모아지고 있다. 이제는 인공지능(AI) 산업이 급성장하고 있기 때문에 대 중소기업 협력 강화를 통한 글로벌 경쟁력을 확보하는 것이 우선 과제이다. 대기업의 장점인 R&D 투자능력과 마케팅 능력과 중소기업의 장점인 로봇 기술을 결합해야 하며 협력 모델 구축 및 M&A를 통해 글로벌 대기업과 경쟁력을 확보해야 한다.

• 한국보건간호학회지
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• 제11권1호
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• pp.93-102
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• 1997

The study aimed at investigating the living time as well as disability degree of the elderly based on daily living acting capability and living activity degree. The survey was conducted through the home-visit interview during half month at july, 1996 by the students of nursing department who were previously trained. The survey targeted the elderly aged 65 years or more living at home in rural area. The study tried to utilize Activity Inventory(AI) made for examing health and disease, disability degree, and living acting degree of the elderly. Among the AI's, there are Physical Activity of Daily Living(PADL), Instrumental Activity of Daily Living(IADL), maximum daily activity scope, and physical and mental activity level of the elderly. The daily living time is surveyed physiologic time(sleeping, eating and grooming), labor time(occupation, housekeeping and farming) and leisure time(reading, sport hobby-life). Results of the study show that social activity degree of the elderly is found to be lower than that PADL, LADL, and daily living scope. It seems that the elderly suffer from inability in daily life with lower social activity degree. But the labour time of the daily living time is the most amount time in the targeted 361 elderlys through random sampling. Therefore postponement of the disability of aging should be devised to encourage the labour activity of the elderly.

• 한국수학사학회지
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• 제30권6호
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• pp.341-351
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• 2017

In the 21st century, the era of artificial intelligence, it is demanded to make a change of the paradigm of education by the recent impact of the 4th industrial revolution. The education up to now has emphasized knowledge, meanwhile the human resources for the future are required to be armed with four C's: critical thinking, creativity, communication and collaboration capability, rather than being equipped with just knowledge. That is because the future society demands such abilities, especially the creativity of each individual. At this point, we are asked to consider the aim of education and teaching methods. In school education, students are to be respected and considered able to develop their potentials by themselves. They shouldn't be estimated by tests in the process of learning as they are now. We reconsider the aim of education here by taking a look at Whitehead's opinions and the present educational situations.

• 센서학회지
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• 제32권6호
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• pp.481-486
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• 2023

Anomaly detection holds paramount significance across diverse fields, encompassing fraud detection, risk mitigation, and sensor evaluation tests. Its pertinence extends notably to the military, particularly within the Warrior Platform, a comprehensive combat equipment system with wearable sensors. Hence, we propose a data-compression-based anomaly detection approach tailored to unlabeled time series and sequence data. This method entailed the construction of two distinctive features, typicality and atypicality, to discern anomalies effectively. The typicality of a test sequence was determined by evaluating the compression efficacy achieved through the pattern dictionary. This dictionary was established based on the frequency of all patterns identified in a training sequence generated for each sensor within Warrior Platform. The resulting typicality served as an anomaly score, facilitating the identification of anomalous data using a predetermined threshold. To improve the performance of the pattern dictionary method, we leveraged atypicality to discern sequences that could undergo compression independently without relying on the pattern dictionary. Consequently, our refined approach integrated both typicality and atypicality, augmenting the effectiveness of the pattern dictionary method. Our proposed method exhibited heightened capability in detecting a spectrum of unpredictable anomalies, fortifying the stability of wearable sensors prevalent in military equipment, including the Army TIGER 4.0 system.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.142-147
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• 2024

The emergence of programs like Midjourney, particularly known for its text-to-image capability, has significantly impacted design and creative industries. Midjourney continually updates its database and algorithms to enhance user experience, with a focus on character consistency. This paper's examination of the latest V6 version of Midjourney reveals notable advancements in its characteristics and design principles, especially in the realm of character generation. By comparing V6 with its predecessors, this study underscores the significant strides made in ensuring consistent character portrayal across different plots and timelines.Such improvements in AI-driven character consistency are pivotal for storytelling. They ensure coherent and reliable character representation, which is essential for narrative clarity, emotional resonance, and overall effectiveness. This coherence supports a more immersive and engaging storytelling experience, fostering deeper audience connection and enhancing creative expression.The findings of this study encourage further exploration of Midjourney's capabilities for artistic innovation. By leveraging its advanced character consistency, creators can push the boundaries of storytelling, leading to new and exciting developments in the fusion of technology and art.

• Journal of Power Electronics
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• 제15권6호
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• pp.1654-1663
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• 2015

Compared to LC resonance, LCL resonance has distinct advantages such as a large resonant capability, low voltage and current stresses of the power device, constant voltage or current output characteristics, and fault-tolerance capability. Thus, LCL resonant compensation is employed for a movable Inductive Contactless Power Transfer (ICPT) system with a multi-load in this paper, which achieves constant current output characteristics. Peculiarly, the primary side adopts a much larger compensation inductor than the primary leakage inductor to lower the reactive power, reduce the input current ripple, generate a large current in the primary side, and realize soft-switching. Furthermore, this paper proposes an approximate resonant point for large inductor-ratio LCL resonant compensation through fundamental wave analysis. In addition, the PWM control strategy is used for this system to achieve constant current output characteristics. Finally, an experimental platform is built, whose secondary E-Type coils can ride and move on a primary rail. Simulations and experiments are conducted to verify the effectiveness and accuracy of both the theory and the design method.

• 방사성폐기물학회지
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• 제20권1호
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• pp.99-110
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• 2022

In decommissioning a nuclear power plant, numerous concrete structures need to be demolished and decontaminated. Although concrete decontamination technologies have been developed globally, concrete cutting remains problematic due to the secondary waste production and dispersion risk from concrete scabbling. To minimize workers' radiation exposure and secondary waste in dismantling and decontaminating concrete structures, the following conceptual designs were developed. A micro-blast type scabbling technology using explosive materials and a multi-dimensional contamination measurement and artificial intelligence (AI) mapping technology capable of identifying the contamination status of concrete surfaces. Trials revealed that this technology has several merits, including nuclide identification of more than 5 nuclides, radioactivity measurement capability of 0.1-10⁷ Bq·g^-1, 1.5 kg robot weight for easy handling, 10 cm robot self-running capability, 100% detonator performance, decontamination factor (DF) of 100 and 8,000 cm²·hr^-1 decontamination speed, better than that of TWI (7,500 cm²·hr^-1). Hence, the micro-blast type scabbling technology is a suitable method for concrete decontamination. As the Korean explosives industry is well developed and robot and mapping systems are supported by government research and development, this scabbling technology can efficiently aid the Korean decommissioning industry.

• 한국동물생명공학회지
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• 제35권2호
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• pp.119-141
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• 2020

The Dromedary camel (Camelus dromedaries) is an important species because of its ability to produce good quality meat, milk, and fibers under harsh environmental conditions. Camels are also crucial for transportation, racing, and as draft animals in agriculture. Therefore, dromedary camels play a critical role in the economy for millions of people living in the arid part of the world. The inherent capability of camels to produce meat and milk is highly correlated with their reproductive performance. Compared with other domestic species, the reproductive efficiency in camelids is low. Although recent reproductive technologies such as in vitro fertilization (IVF) and somatic cell nuclear transfer (SCNT) have been successfully applied to camelids and the birth of live offspring following these technologies has been reported; in vitro embryo production (IVP) has lagged in this species. The development of the IVP system for dromedary camels may be a useful tool for the genetic improvement of this species. IVP in farm animals includes three main steps; in vitro maturation (IVM) of an oocyte, IVF of a matured oocyte, and in vitro culture (IVC) of fertilized oocyte up to the blastocyst stage. This review aims to summarize various factors that influence oocyte quality, IVM, and in vitro embryo development in dromedary camel.

• 한국시뮬레이션학회논문지
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• 제15권2호
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• pp.1-12
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• 2006

지능형 시스템에 대한 요구가 지속적으로 증가하면서, 최근에는 인공지능과 시뮬레이션 기술을 연동하기 위한 다양한 접근이 이루어지고 있다. 본 논문의 기반이 되는 RG-DEVS는 이산 사건 시뮬레이션 모델링 방법론인 DEVS에 인공지능의 계획(planning) 기술을 반영함으로써 동적으로 시뮬레이션 모델이 정의될 수 있는 인공지능과 시뮬레이션의 연동 기술이다. 그러나, 오늘날 많은 문제 해결 시스템들에 반영되고 있는 계층성(hierarchy)이 계획에 반영되어 있지 않다. 계층성은 탐색 공간을 작게 하여 계획의 계산 비용을 줄일 수 있을 뿐 아니라, 모델링 대상 시스템의 계층적 작업 흐름을 반영하기에도 유용하다. 본 논문은 RG-DEVS에 계층적 계획 능력을 추가하여 확장한 모델링 방법론인 HRG-DEVS출 제안하고, 이를 검증하기 위하여 고전적인 계획 문제로 알려진 계층적인 블록 쌓기 문제인 ABSTRIPS에 적용하였다.