• 제목/요약/키워드: Types of technologies

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Laser decontamination for radioactive contaminated metal surface: A review

  • Qian Wang;Feisen Wang;Chuang Cai;Hui Chen;Fei Ji;Chen Yong;Dasong Liao
    • Nuclear Engineering and Technology
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    • 제55권1호
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    • pp.12-24
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    • 2023
  • With the improvement of laser technology, the strategic needs of efficient and precise decontamination of various components in nuclear application units can be fulfilled by laser decontamination. The surface contaminants of nuclear facilities mainly exist both as loose contaminated layer and fixed oxide layer. The types of radionuclides and contamination layer thickness are closely related to the operation status of nuclear facilities, which have an important influence on the laser decontamination process. This study reviewed the mechanism of laser surface treatment and the influence of laser process parameters on the decontamination thickness, decontamination factor, decontamination efficiency and the distribution of aerosol particle. Although multiple studies have been performed on the mechanism of laser processing and laser decontamination process, there are few studies on the microscopic process mechanism of laser decontamination and the influence of laser decontamination on surface properties. In particular, the interaction between laser and radioactive contaminants needs more research in the future.

지능형 후각센서 (Intelligent Olfactory Sensor)

  • 이대식;안창근;김봉규;표현봉;김진태;허철;김승환
    • 전자통신동향분석
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    • 제34권4호
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    • pp.76-88
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    • 2019
  • With advances in olfactory sensor technologies, the number of reports on various intelligent applications using multiple sensors (sensor arrays) are continuously increasing for fields such as medicine, environment, security, etc. For intelligent and point-of-care applications, it is not only important for the sensor technology to perform chemical or physical measurements rapidly and accurately, but it is also important for artificial intelligence technology to recognize and quantify specific chemicals or diagnose diseases such as lung cancer and diabetes. In particular, great advances in pattern recognition technologies, including deep learning algorithms, as well as sensor array technologies, are expected to enhance the potential of various types of olfactory intelligence applications, including early cancer diagnosis, drug seeking, military operations, and air pollution monitoring.

국방 블록체인 기술 동향 및 국방 ICT 융합 전략 연구 (Study on Trends and Strategies for Defense Blockchain and ICT Technologies)

  • 이경휴;박혜숙
    • 전자통신동향분석
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    • 제35권1호
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    • pp.12-24
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    • 2020
  • To keep pace with other powerful nations in this era of the era of digitalization and to emerge stronger in the world, the defense forces of South Korea aim to innovate and prepare themselves for digital battlefields of possible wars in the future. The resources in the defense sector, which is the core of defense intelligence, is based on an intelligent mission collaboration tactical network system via cyber, command, control, communication, and computer (C4), and military and non-human weapons. Defense intelligence depends on the degree of the convergence of advanced Information and communication technologies (ICTs). Considering this aspect of defense intelligence, We plan to determine the application status of defense blockchain technology and examine the feasibility of applying blockchain technology and the core of applied technology. Generally, a key feature of blockchain technology is its data integrity in untrusted environments. There are various types of core technologies for the blockchain depending on the target areas of application in the defense sector, and it is also essential to derive new application strategies for core technologies that are applied in combination with other ICT technologies. We plan to demonstrate new defense ICT converged technologies (DNAB2: Data, Network, AI, BigData, Blockchain) and DNAB2-As-Services in the defense strategy.

오토모티브 이더넷 보안 기술 (Trends in Automotive Ethernet Security Technology)

  • 정보흥;김대원;전부선;주홍일;나중찬
    • 전자통신동향분석
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    • 제33권5호
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    • pp.76-85
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    • 2018
  • In recent years, automobiles have evolved from simple transportation to convergence devices, and have combined the Internet of things, high-speed communications, and artificial intelligence technologies to provide people with social and cultural benefits. To provide services such as a smart traffic analysis, autonomous driving, and unmanned driving, automobiles applying these technologies are required to perform various types of sensing and image analyses for vehicle recognition and distance measurements. addition, there has been a rapid increase in the need to introduce an automotive Ethernet, that can provide a wide bandwidth to support. such technologies. In this article, we survey the latest trends in automotive Ethernet based automobiles and their security threats, and analyze the status and prospects of security technologies applied to cope with them.

Multi-step Metals Additive Manufacturing Technologies

  • Oh, Ji-Won;Park, Jinsu;Choi, Hanshin
    • 한국분말재료학회지
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    • 제27권3호
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    • pp.256-267
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    • 2020
  • Metal additive manufacturing (AM) technologies are classified into two groups according to the consolidation mechanisms and densification degrees of the as-built parts. Densified parts are obtained via a single-step process such as powder bed fusion, directed energy deposition, and sheet lamination AM technologies. Conversely, green bodies are consolidated with the aid of binder phases in multi-step processes such as binder jetting and material extrusion AM. Green-body part shapes are sustained by binder phases, which are removed for the debinding process. Chemical and/or thermal debinding processes are usually devised to enhance debinding kinetics. The pathways to final densification of the green parts are sintering and/or molten metal infiltration. With respect to innovation types, the multi-step metal AM process allows conventional powder metallurgy manufacturing to be innovated continuously. Eliminating cost/time-consuming molds, enlarged 3D design freedom, and wide material selectivity create opportunities for the industrial adoption of multi-step AM technologies. In addition, knowledge of powders and powder metallurgy fuel advances of multi-step AM technologies. In the present study, multi-step AM technologies are briefly introduced from the viewpoint of the entire manufacturing lifecycle.

Conversation Assistive Technology for Maintaining Cognitive Health

  • Otake-Matsuura, Mihoko
    • 노인간호학회지
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    • 제20권sup1호
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    • pp.154-159
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    • 2018
  • Purpose: There is a need for artificial intelligence which nurtures human intelligence as the prevalence of dementia and collapse of intelligence of human beings has become a social problem. Purpose of this study is to develop intervention technologies for maintaining cognitive health of older adults. Methods: The method named the Coimagination Method (CM) was proposed and has been developed in order to achieve goal. Conversation assistive technologies have been developed and tested based on the method. Results: The state of the art of the group conversation support system, and regular series of group conversation sessions for full-years with insights for healthy older adults are described in detail. Participatory approach has been applied to the design process for simultaneous research and implementation of the service. Both participants and practitioners have been maintaining their cognitive health for independent living. Conclusion: Findings imply that there exist potentially preventive types of dementia and intervention should be applicable for such types. Ways of thinking and living are gently intervened through understanding of personal values and broadening minds, which lead to improved quality of life.

Near Field IR (NIR) 스펙트럼 및 결정 트리 기반 기계학습을 이용한 플라스틱 재질 분류 시스템 (The Evaluation of a Plastic Material Classification System using Near Field IR (NIR) Spectrum and Decision Tree based Machine Learning)

  • 국중진
    • 반도체디스플레이기술학회지
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    • 제21권3호
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    • pp.92-97
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    • 2022
  • Plastics are classified into 7 types such as PET (PETE), HDPE, PVC, LDPE, PP, PS, and Other for separation and recycling. Recently, large corporations advocating ESG management are replacing them with bioplastics. Incineration and landfill of disposal of plastic waste are responsible for air pollution and destruction of the ecosystem. Because it is not easy to accurately classify plastic materials with the naked eye, automated system-based screening studies using various sensor technologies and AI-based software technologies have been conducted. In this paper, NIR scanning devices considering the NIR wavelength characteristics that appear differently for each plastic material and a system that can identify the type of plastic by learning the NIR spectrum data collected through it. The accuracy of plastic material identification was evaluated through a decision tree-based SVM model for multiclass classification on NIR spectral datasets for 8 types of plastic samples including biodegradable plastic.

A Novel Black Box Approach For Component Adaptation Technique

  • Jalender, B.;Govardhan, Dr. A.
    • International Journal of Computer Science & Network Security
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    • 제22권2호
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    • pp.81-90
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    • 2022
  • There are several ways to improve software performance by using existing software. So, the developments of some programs are the most promising ways. However, traditional part programming studies usually assume that the components are recycled "as is". Existing models of component objects only provide limited support for partial adjustments, namely white box technologies ( copy-paste & inheritance) and the black-box methods (such as mixing and encapsulation). These technologies have problems related to recovery, efficiency, implementation of indirect costs, or their own problems. This paper suggests as JALTREE, The Black Box adaptation technology, which allows us for the implementation of previous components, but we need configurable the interface types, for measuring the adaptability. In this article we discussed the types of adjustments including component interfaces and component composition. An example of customizing JALTREE and component can be illustrated in several examples

집적화된 CMOS 센서의 팩키징 연구 및 특성 평가 (The Study and characteristics of integrated CMOS sensor's packaging)

  • 노지형;권혁빈;신규식;조남규;문병무;이대성
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2009년도 제40회 하계학술대회
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    • pp.1551_1552
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    • 2009
  • In this paper, we presented the packaging technologies of CMOS ISFET(Ion Sensitive Field Effect Transistor) pH sensor using post-CMOS process and MCP(Multi Chip Packaging). We have proposed and developed two types of packaging technology. one is one chip, which sensing layer is deposited on the gate metal of standard CMOS ISFET, the other is two chip type, which sensing layer is separated from CMOS ISFET and connected by bonding wire. These proposed packaging technologies would make it easy to fabricate CMOS ISFET pH sensor and to make variety types of pH sensor.

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연방 데이터베이스 시스템 기반의 CALS 통합 데이터베이스 구현 연구 (A Research of CALS Integrated Database Based on Federated Database Systems)

  • 우훈식;윤선희;정승욱;문희철
    • 산업경영시스템학회지
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    • 제21권47호
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    • pp.139-148
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    • 1998
  • CALS IDB (Integrated database) is one of core technologies that embodies the principle of a shared data environment for the life cycle related data in CALS environment. In this study, to successfully share the data, we first classified the data types employed in the CALS environment and then discussed the data heterogeneity issued in data integration processes. To effectively solve this heterogeneity, we proposed the federated database systems as a candidate system especially focusing on the major functions and core element technologies.

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