• 전자공학회논문지
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• 제52권4호
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• pp.106-114
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• 2015

수중 음파 센서 네트워크의 다각적인 발전에도 불구하고 네트워크상에서의 연결이 손실되는 경우가 여전히 존재한다. 특히 해양 환경에서 네트워크상의 연결 중에 발생할 수 있는 연결 단절을 유발하는 많은 다양한 문제점으로 인해 이를 보완하기 위해서 수중 음파 통신 네트워크를 위한 새로운 테스트 메커니즘이 필요하다. 본 논문에서는 통신 프로세스의 문제점 및 에러가 발생하는 위치를 식별하기 위해서 장애 없이 네트워크 배포시 가장 중요한 부분들에 대해 조사할 수 있는 방법을 제안한다. 수중 음파 통신 네트워크(UWASN)를 위한 Step-wised Out-test 메커니즘을 도입하고 실험을 통하여 out-test 기능을 이용한 수중 단말의 작동을 엄격하게 점검하였다. 구현 및 실험 결과를 통해서 Out-test 기능의 유용성 및 우수성을 입증하였고 향후 가능한 개선을 제시하였다.

• 한국산림과학회지
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• 제97권4호
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• pp.445-451
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• 2008

본 연구는 Tablet PC를 기반으로 정밀수치임상도 제작을 위한 현장조사용 맞춤형 시스템을 개발하는데 그 목적이 있다. 본 연구에서 개발한 FIS의 주요 개발내용 및 특징은 다음과 같다. FIS는 GPS에서 수신한 정보를 바탕으로 다양한 공간 Data에서 위치정보를 쉽게 파악할 수 있어 정보의 접근성이 용이한 장점이 있다. 또한 임상편집 뿐만 아니라 메모 및 야장도구를 통해 여러 가지 정보들을 현장에서 손쉽게 기록하고 관리할 수 있으며, 간단한 측정도구로 거리와 면적을 쉽게 산출할 수 있다. 본 연구에서 개발한 시스템을 활용하여 효율적인 현장조사가 가능하므로 현장에서 시간 및 비용을 절감할 수 있으며, 현장작업의 생산력이 향상될 것이다.

• 한국화재소방학회논문지
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• 제23권6호
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• pp.16-23
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• 2009

화재 시 피난로의 연기의 확산 침투를 막기 위한 제연 댐퍼의 성능 특성은 FIS 001 규정에 의해 시험되고 있지만 시험 방법 및 규정에 대한 개선 요구가 지속적으로 제시되었다. 유체역학적인 관점에서 급기 시스템의 끝단에 위치한 제연 댐퍼의 특성은 전체 제연시스템의 성능에 매우 중요한 역할을 수행한다. 본 연구에서는 일반적으로 널리 사용되고 있는 자동차압댐퍼에 관한 FIS 001 규정의 취약점을 논하고 댐퍼의 주요 특성을 다양한 방법으로 시험하였다. 이러한 실험 결과 시험 장치 내의 유속 교란은 댐퍼의 성능 특성 시험에 영향이 적음을 확인하였으며 누기량 및 방연 풍속 확보 등과 관련된 실험을 추가 수행하였다. 이러한 결과는 자동차압댐퍼의 성능 시험을 위한 설비 구축 및 시험 규정의 개선에 활용될 수 있을 것이다.

• Journal of Dental Anesthesia and Pain Medicine
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• 제19권4호
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• pp.227-233
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• 2019

Background: Dental anxiety in children is a major barrier in patient management. If dental anxiety in pediatric patients is assessed during the first visit, it will not only aid in management but also help to identify patients who are in need of special care to deal with their fear. Nowadays, children and adults are highly interested in multimedia and are closely associated with them. Children usually prefer motion pictures on electronic devices than still cartoons on paper. Therefore, this study was conducted to evaluate a newly designed scale, the animated emoji scale (AES), which uses motion emoticons/animojis to assess dental anxiety in children during their first dental visit, and compare it with the Venham picture test (VPT) and facial image scale (FIS). Methods: The study included 102 healthy children aged 4-14 years, whose dental anxiety was measured using AES, VPT, and FIS during their first dental visit, and their scale preference was recorded. Results: The mean anxiety scores measured using AES, FIS, and VPT, represented as $mean{\pm}SD$, were $1.78{\pm}1.19$, $1.93{\pm}1.23$, and $1.51{\pm}1.84$, respectively. There was significant difference in the mean anxiety scores between the three scales (Friedman test, P < 0.001). The Pearson's correlation test showed a very strong correlation (0.73) between AES and VPT, and a strong correlation between AES and FIS (0.88), and FIS and VPT (0.69), indicating good validity of AES. Maximum number of children (74.5%) preferred AES. Conclusion: The findings of this study suggest that the AES is a novel and child-friendly tool for assessing dental anxiety in children.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5568-5587
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• 2018

This research uses artificial intelligence methods for computer network intrusion detection system modeling. Primary classification is done using self-organized maps (SOM) in two levels, while the secondary classification of ambiguous data is done using Sugeno type Fuzzy Inference System (FIS). FIS is created by using Adaptive Neuro-Fuzzy Inference System (ANFIS). The main challenge for this system was to successfully detect attacks that are either unknown or that are represented by very small percentage of samples in training dataset. Improved algorithm for SOMs in second layer and for the FIS creation is developed for this purpose. Number of clusters in the second SOM layer is optimized by using our improved algorithm to minimize amount of ambiguous data forwarded to FIS. FIS is created using ANFIS that was built on ambiguous training dataset clustered by another SOM (which size is determined dynamically). Proposed hybrid model is created and tested using NSL KDD dataset. For our research, NSL KDD is especially interesting in terms of class distribution (overlapping). Objectives of this research were: to successfully detect intrusions represented in data with small percentage of the total traffic during early detection stages, to successfully deal with overlapping data (separate ambiguous data), to maximize detection rate (DR) and minimize false alarm rate (FAR). Proposed hybrid model with test data achieved acceptable DR value 0.8883 and FAR value 0.2415. The objectives were successfully achieved as it is presented (compared with the similar researches on NSL KDD dataset). Proposed model can be used not only in further research related to this domain, but also in other research areas.

• 천문학논총
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• 제27권4호
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• pp.235-236
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• 2012

We carry out a systematic study of Galactic supernova remnants (SNRs) using the AKARI Far Infrared Surveyor (FIS) survey data. The AKARI Infrared Astronomical Satellite observed the whole sky using the four FIS bands covering 50 to 180 microns with ~1 arcmin resolution. The all-sky coverage with high-spatial resolution provides an unprecedented opportunity to study diffuse, extended far-infrared (FIR) sources such as SNRs. We have searched for FIR counterparts to all 274 known Galactic SNRs, and investigate their FIR properties of identified SNRs. We report preliminary results of the study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권10호
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• pp.4987-5005
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• 2017

This paper introduces a new method to solve Similarity Recognition for Cloth Products, which is based on Fuzzy logic and Particle swarm optimization algorithm. For convenience, it is called the SRCPFP method hereafter. In this paper, the SRCPFP method combines Fuzzy Logic (FL) and Particle Swarm Optimization (PSO) algorithm to solve similarity recognition for cloth products. First, it establishes three features, length, thickness, and temperature resistance, respectively, for each cloth product. Subsequently, these three features are engaged to construct a Fuzzy Inference System (FIS) which can find out the similarity between a query cloth and each sampling cloth in the cloth database D. At the same time, the FIS integrated with the PSO algorithm can effectively search for near optimal parameters of membership functions in eight fuzzy rules of the FIS for the above similarities. Finally, experimental results represent that the SRCPFP method can realize a satisfying recognition performance and outperform other well-known methods for similarity recognition under considerations here.

• 한국자동차공학회논문집
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• 제21권6호
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• pp.8-15
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• 2013

Wide range frequency pulses occur in a car crash test. Until now, low frequency under 400Hz has been used to determine an airbag deployment criteria. Also, FIS (Front Impact Sensor) has been used to detect the crash pulse in early stage. Nowadays, technology to determine an airbag delpoyment criteria by using a high frequency crash pulse without FIS is being focused on. In this paper, the signal transmissibility of high frequency pulse for two different cars was studied. Also, signal transfer test of high frequency pulse was done by using a high speed ball impact. Signal runtime of the frontal impact is compared with that of the side impact. The signal transmissibility difference due to the car structure difference was discussed and structure change for improving the signal transmissibility was proposed.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2015년도 춘계학술발표대회
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• pp.482-484
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• 2015

M2M technology enables us to "Things" and collect various kinds of information from "Things". M2M is defined as a technology that enables electronic and mechanical devices to communicate with each other seamlessly and perform actions without human intervention. In this paper, we review some security solutions for M2M devices and show our light weight framework which is responsible for security of constrained M2M devices. In addition to the above-mentioned ones, we propose the framework can be applied for constrained environment and give conclusion and future works.

• East Asian mathematical journal
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• 제40권1호
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• pp.109-118
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• 2024

This paper proposes a numerical method based on domain decomposition to find approximate solutions for one-dimensional convection-diffusion equations with Neumann boundary conditions. First, the equations are transformed into convection-diffusion equations with Dirichlet conditions. Second, the author introduces the Prediction/Correction Domain Decomposition (PCDD) method and estimates errors for the interface prediction scheme, interior scheme, and correction scheme using known error estimations. Finally, the author compares the PCDD algorithm with the fully explicit scheme (FES) and the fully implicit scheme (FIS) using three examples. In comparison to FES and FIS, the proposed PCDD algorithm demonstrates good results.