• Title/Summary/Keyword: Current detection

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Mobile Robot-based Leak Detection and Tracking System for Advanced Response and Training to Hazardous Materials Incidents (화학물질 저장시설의 사고대응 및 훈련을 위한 로봇기반 누출감지 및 추적시스템)

  • Park, Myeongnam;Kim, Chang Won;Kim, Tae-Ok;Shin, Dongil
    • Journal of the Korean Institute of Gas
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    • v.23 no.2
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    • pp.17-27
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    • 2019
  • In recent years, dangerous materials and gas leak accidents have been frequently occurred. The hazardous materials storage facility accidents are not rapidly controlled when a leak is detected, unlike other chemical plants can be controled. Externally, the human has to approach and respond to the source of leaking directly. As a result, the human and material damage are likely to larger result in the process. The current approach has been passive response after ringing the alarm. In this study, the suggested tracking system of the leak resource is designed system to track the resource actively by utilizing the mobile sensor robot platform, which can be made easily through recent rapid development technology, is verified through prototype system. Thus, a suggested system should pave the way for minimizing the spread and damage of the accident based on the exact site situation of the initial leak and quick and early measures.

Selecting the Priority Research Topics Addressing Unmet Post-immunization Safety Needs: A Model for Generating Research Proposal and Designing a Questionnaire for the Clinical Experts (설문조사를 통한 전문가 대상 예방접종 후 이상반응 관련 우선순위 연구주제 선정 기준모델 제시)

  • Kim, Hyun Jeong;Lee, Hyesung;Kim, Ju Hwan;Yoon, Dongwon;Noh, Yunha;Shin, Ju-Young
    • Korean Journal of Clinical Pharmacy
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    • v.29 no.3
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    • pp.173-185
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    • 2019
  • Objective: To gather inputs from clinical experts on selecting and prioritizing research topics, to address unmet vaccine safety needs. Methods: A questionnaire containing 15 vaccine safety assessment research proposals was sent to 28 vaccine experts chosen from various domestic medical association boards, and the rationale for each of the proposals was provided by presenting the following information: 1) a brief summary of the clinical safety studies on the vaccine, conducted by the Clinical Immunization Safety Assessment (CISA) project group, supervised by the United States Center for Disease Control (U.S. CDC), and 2) a summary of recently published studies that address vaccine safety issues. The experts were instructed to select and rank 5 topics in the order of preference, and the preference score for each proposed topic was calculated by assigning points on a scale of 1 to 5. Results: All 28 experts responded to the questionnaire, and the following topics were selected according to their calculated preference scores: 1) Human papillomavirus vaccine safety profile in the Korean female adolescents; 2) A signal detection of adverse events following Influenza vaccination: comparison between the US and South Korea; 3) Incidence of anaphylaxis following National Immunization Program vaccines between 2008 and 2017; 4) Safety of quadrivalent influenza vaccines compared to trivalent influenza vaccines; and 5) Pneumococcal vaccine safety profile in the general population. Conclusion: Five research topics addressing vaccine safety were selected, for which well-constructed research protocols need to be promptly developed to address current unmet vaccine safety needs in South Korea.

An ASIC Design for Photon Pulse Counting Particle Detection (광계수방식 물리입자 검출용 ASIC 설계)

  • Jung, Jun-Mo;Soh, Myung-Jin;Kim, Hyo-Sook;Han, AReum;Soh, Seul-Yi
    • Journal of IKEEE
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    • v.23 no.3
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    • pp.947-953
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    • 2019
  • The purpose of this paper is to explore an ASIC design for estimating sizes and concentrations of airborne micro-particles by the means of integrating, amplifying and digitizing electric charge signals generated by photo-sensors as it receives scattered photons by the presence of micro-particles, consisting of a pre-amplifier that detects and amplifies voltage or current signal from photo-sensor that generates charges (hole-electron pairs) when exposed to visible rays, infrared rays, ultraviolet rays, etc. according to the intensity of rays; a shaper for shaping the amplified signal to a semi-gaussian waveform; two discriminators and binary counters for outputting digital signals by comparing the magnitude of the shaped signal with an arbitrary reference voltages. The ASIC with the proposed architecture and functional blocks in this study was designed with a 0.18um standard CMOS technology from Global Foundries and the operation and performances of the ASIC has been verified by the silicons fabricated by using the process.

A Study On the Renewal System of Domestic High Definition Maps (우리나라 정밀도로지도의 갱신체계에 관한 연구)

  • SEOL, Jae-Hyuk;LEE, Won-Jong;CHOI, Yun-Soo;JEONG, In-Hun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.3
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    • pp.133-145
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    • 2019
  • Building and researching high definition maps that support autonomous vehicles, one of Korea's key challenges for the future, are being actively propelled in both private and government sectors with the goal of fast commercialization. Under this perspective, update methods that secure up-to-date information are emerging as key tasks. To provide a plan for establishing efficient renewal systems for high definition maps, we analyzed the present condition of road types, causes of road changes and its annual change rates, and examined where and how such road change information is managed. Furthermore, the method of collection and detection of road change information and the renewal system of high definition maps are defined based on the current study. At the end of the paper, a step-by-step renewal system is proposed through the examination of renewal cycles, contents, and region of high definition maps.

A Multi-detection Fluorescence Dye with 5-ALA and ICG Using Modified Light Emitting Diodes

  • Yoon, Kicheol;Kim, Eunji;Kim, Kwanggi;Lee, Seunghoon;Yoo, Heon
    • Current Optics and Photonics
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    • v.3 no.3
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    • pp.256-262
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    • 2019
  • Extensive tumor resection accompanied by radiotherapy and chemotherapy is the standard of care for malignant gliomas. However, there is a significant obstacle to the complete resection of the tumor due to the difficulty of distinguishing tumor and normal brain tissue with a conventional surgical microscope. Recently, multiple studies have shown the possibility of fluorescence-guided surgery in malignant gliomas. The most used fluorescence dyes for brain tumor surgery are 5-aminolevulinic acid (5-ALA) and indocyanine green (ICG). In this paper, a new fluorescence guided operation system, which can detect both 5-ALA and ICG fluorescent images simultaneously, is presented. This operation system consists of light emitting diodes (LEDs) which emits 410 nm and 740 nm wavelengths. We have performed experiments on rats in order to verify the operation of the newly developed operation system. Oral administration and imaging were performed to observe the fluorescence of 5-ALA and ICG fluorescence in rats. When LEDs at wavelengths of 410 nm and 740 nm were irradiated on rats, 628 nm wavelength with a violet fluorescence color and 825 nm wavelength with a red fluorescence color were expressed in 5-ALA and ICG fluorescent material, respectively, thus we were able to distinguish the tumor tissues easily. Previously, due to the poor resolution of the conventional surgical microscope and the fact that the color of the vein is similar to that of the tumor, the tumor resection margin was not easy to observe, thus increasing the likelihood for cancer recurrence. However, when the tumor is observed through the fluorescence guided operation system, it is possible to easily distinguish the color with the naked eye and it can be completely removed. Therefore, it is expected that surgical removal of cancerous tumors will be possible and surgical applications and surgical microscopes for cancer tumor removal surgery will be promising in the future.

A Tensor Space Model based Deep Neural Network for Automated Text Classification (자동문서분류를 위한 텐서공간모델 기반 심층 신경망)

  • Lim, Pu-reum;Kim, Han-joon
    • Database Research
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    • v.34 no.3
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    • pp.3-13
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    • 2018
  • Text classification is one of the text mining technologies that classifies a given textual document into its appropriate categories and is used in various fields such as spam email detection, news classification, question answering, emotional analysis, and chat bot. In general, the text classification system utilizes machine learning algorithms, and among a number of algorithms, naïve Bayes and support vector machine, which are suitable for text data, are known to have reasonable performance. Recently, with the development of deep learning technology, several researches on applying deep neural networks such as recurrent neural networks (RNN) and convolutional neural networks (CNN) have been introduced to improve the performance of text classification system. However, the current text classification techniques have not yet reached the perfect level of text classification. This paper focuses on the fact that the text data is expressed as a vector only with the word dimensions, which impairs the semantic information inherent in the text, and proposes a neural network architecture based upon the semantic tensor space model.

Recent Research Trend in Lateral Flow Immunoassay Strip (LFIA) with Colorimetric Method for Detection of Cancer Biomarkers (암 바이오마커 검출용 비색법 기반 측면 흐름 면역 크로마토그래피 분석법(LFIA) 스트립의 최신 연구 동향)

  • Lee, Sooyoung;Lee, Hye Jin
    • Applied Chemistry for Engineering
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    • v.31 no.6
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    • pp.585-590
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    • 2020
  • Successful early diagnosis of cancer diseases such as lung, prostate, liver and adrenocortical carcinoma is a key step in determining the cost of treatment, survival rate, and cure rate. Most of current cancer diagnosis systems including biopsy, computed tomography (CT), positron emission tomography (PET)-CT, magnetic resonance imaging (MRI), ultrasonography, etc., require expensive and complicated equipment with highly trained human resources. Global medical and scientific communities have thus made numerous efforts on developing effective but rapid disease management system via introducing a wide spectrum of point-of-care medical diagnosis devices. Among them, a lateral flow immunoassay strip technique has gained a great attention due to many advantages such as cost-effectiveness, short inspection time, and user friendly accessibility. In this mini-review, we will highlight recent research trend on the development of colorimetry based LFIA strips for cancer diagnosis and discuss the future research direction and potential applications.

Novel Anomaly Detection Method for Proactive Prevention from a Mobile E-finance Accident with User"s Input Pattern Analysis (모바일 디바이스에서의 전자금융사고 예방을 위한 사용자입력패턴분석 기반 이상증후 탐지 방법)

  • Seo, Ho-Jin;Kim, Huy-Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.4
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    • pp.47-60
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    • 2011
  • With the increase in the use of mobile banking service, mobile banking has become an attractive target to attackers. Even though many security measures are applied to the current mobile banking service, some threats such as physical theft or penetration to a mobile device from remote side are still remained as unsolved. With aiming to fill this void, we propose a novel approach to prevent e-financial incidents by analyzing mobile device user's input patterns. This approach helps us to distinguish between original user's usage and attacker's usage through analyzing personal input patterns such as input time-interval, finger pressure level on the touch screen. Our proposed method shows high accuracy, and is effective to prevent the e-finance incidents proactively.

Hiding Shellcode in the 24Bit BMP Image (24Bit BMP 이미지를 이용한 쉘코드 은닉 기법)

  • Kum, Young-Jun;Choi, Hwa-Jae;Kim, Huy-Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.3
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    • pp.691-705
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    • 2012
  • Buffer overflow vulnerability is the most representative one that an attack method and its countermeasure is frequently developed and changed. This vulnerability is still one of the most critical threat since it was firstly introduced in middle of 1990s. Shellcode is a machine code which can be used in buffer overflow attack. Attackers make the shellcode for their own purposes and insert it into target host's memory space, then manipulate EIP(Extended Instruction Pointer) to intercept control flow of the target host system. Therefore, a lot of research to defend have been studied, and attackers also have done many research to bypass security measures designed for the shellcode defense. In this paper, we investigate shellcode defense and attack techniques briefly and we propose our new methodology which can hide shellcode in the 24bit BMP image. With this proposed technique, we can easily hide any shellcode executable and we can bypass the current detection and prevention techniques.

Developing a Cantilever-type Near-field Scanning Optical Microscope Using a Single Laser for Topography Detection and Sample Excitation

  • Ng'ang'a, Douglas Kagoiya;Ali, Luqman;Lee, Yong Joong;Byeon, Clare Chisu
    • Current Optics and Photonics
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    • v.5 no.3
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    • pp.229-237
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    • 2021
  • The capabilities of the near-field scanning optical microscope (NSOM) for obtaining high resolution lateral topographical images as well as for mapping the spectroscopic and optical properties of a sample below the diffraction limit of light have made it an attractive research field for most researchers dealing with optical characteristics of materials in nano scales. The apertured NSOM technique involves confining light into an aperture of sub-wavelength size and using it to illuminate a sample maintained at a distance equal to a fraction of the sub-wavelength aperture (near-field region). In this article, we present a setup for developing NSOM using a cantilever with a sub-wavelength aperture at the tip. A single laser is used for both cantilever deflection measurement and near-field sample excitation. The laser beam is focused at the apex of the cantilever where a portion of the beam is reflected and the other portion goes through the aperture and causes local near-field optical excitation of the sample, which is then raster scanned in the near-field region. The reflected beam is used for an optical beam deflection technique that yields topographical images by controlling the probe-sample in nano-distance. The fluorescence emissions signal is detected in far-field by the help of a silicon avalanche photodiode. The images obtained using this method show a good correlation between the topographical image and the mapping of the fluorescence emissions.