• 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.

• Korean Journal of Radiology
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• 제23권2호
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• pp.226-236
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• 2022

Objective: This study aimed to explore the myelin volume change in patients with mild traumatic brain injury (mTBI) with post-concussion syndrome (PCS) using a multidynamic multiecho (MDME) sequence and automatic whole-brain segmentation. Materials and Methods: Forty-one consecutive mTBI patients with PCS and 29 controls, who had undergone MRI including the MDME sequence between October 2016 and April 2018, were included. Myelin volume fraction (MVF) maps were derived from the MDME sequence. After three dimensional T1-based brain segmentation, the average MVF was analyzed at the bilateral cerebral white matter (WM), bilateral cerebral gray matter (GM), corpus callosum, and brainstem. The Mann-Whitney U-test was performed to compare MVF and myelin volume between patients with mTBI and controls. Myelin volume was correlated with neuropsychological test scores using the Spearman rank correlation test. Results: The average MVF at the bilateral cerebral WM was lower in mTBI patients with PCS (median [interquartile range], 25.2% [22.6%-26.4%]) than that in controls (26.8% [25.6%-27.8%]) (p = 0.004). The region-of-interest myelin volume was lower in mTBI patients with PCS than that in controls at the corpus callosum (1.87 cm³ [1.70-2.05 cm³] vs. 2.21 cm³ [1.86-3.46 cm³]; p = 0.003) and brainstem (9.98 cm³ [9.45-11.00 cm³] vs. 11.05 cm³ [10.10-11.53 cm³]; p = 0.015). The total myelin volume was lower in mTBI patients with PCS than that in controls at the corpus callosum (0.45 cm³ [0.39-0.48 cm³] vs. 0.48 cm³ [0.45-0.54 cm³]; p = 0.004) and brainstem (1.45 cm³ [1.28-1.59 cm³] vs. 1.54 cm³ [1.42-1.67 cm³]; p = 0.042). No significant correlation was observed between myelin volume parameters and neuropsychological test scores, except for the total myelin volume at the bilateral cerebral WM and verbal learning test (delayed recall) (r = 0.425; p = 0.048). Conclusion: MVF quantified from the MDME sequence was decreased at the bilateral cerebral WM in mTBI patients with PCS. The total myelin volumes at the corpus callosum and brainstem were decreased in mTBI patients with PCS due to atrophic changes.

• 대한전자공학회논문지
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• 제21권6호
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• pp.78-84
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• 1984

CMOS 논리회로에서 부가회로없이 time skew와 무관하게 stuck-open(이하 s-op) 고장을 검출할 수 있는 새로운 알고리즘을 제안한다. 즉, CMOS회로 구성요소로서 Domino CMOS 이 회로를 채택하여 회로의 클럭킹 게이트를 하나의 branch로 간주 모델화하고, transition test를 이용하여 테스트 시이퀸스를 구한다. 또한 이 알고리즘을 VAXII/780상에서 임의의 CMOS회로에 적용시켜 보므로써, 종래의 방법에서 time skew로 인하여 검출될 수 없었던 모든 s-op 고장이 검출됨을 보였다.

• 전자공학회논문지C
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• 제35C권8호
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• pp.10-22
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• 1998

To handle the density increase of SRAMs, a new parallel testing methodology based on built-in self test (BIST) is developed, which allows to access multiple cells simultaneously. The main idea is that a march algorithm is dperformed concurently in each baisc marching block hwich makes up whole memory cell array. The new parallel access method is very efficient in speed and reuqires a very thny hardware overhead for BIST circuitry. Results show that the fault coverage of the applied march algorithm can be achieved with a lower complexity order. This new paralle testing algorithm tests an .root.n *.root.n SRAM which consists of .root.k * .root.k basic marching blocks in O(5*.root.k*(.root.k+.root.k)) test sequence.

• KSTLE International Journal
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• 제6권2호
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• pp.58-64
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• 2005

An OEM driven working group started in January 2004 to elaborate the philosophies, concepts and test procedures for testing piston ring and cylinder liner materials as well as engine oils outside the engine using the $SRV^{(R)}$ test equipment. The different $SRV^{(R)}$ test philosophies in use by OEMs are compiled. The working group focuses on a.) ASTM sequence VIB (Fuel economy by aging oils), b.) friction and wear in the top dead region under mixed/boundary lubrication, c.) extreme pressure load under mixed/boundary lubrication and d.) hydrodynamic friction. Tribological test result and precision data are presented.

• 비파괴검사학회지
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• 제23권3호
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• pp.280-284
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• 2003

사용하지 않은 새 금속 압력용기에 대하여, 사용 전 음향방출시험을 수행할 때 장비점검, 탐촉자간 거리, 탐촉자 위치, 전 측정 시스템 점검, 가압방법, 잡음 제거법 및 시험 결과의 평가 등에 대한 절차를 수립하고 현장 응용시험이 수행되었다. 일반적으로 음향방출 시험은 많은 잡음을 포함하는데 시험동안 관찰결과를 기록하여 평가 시 시간 필터링함으로서 잡음을 제거할 수 있었다.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2000년도 제14회 학술강연논문집
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• pp.8-8
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• 2000

In this paper are presented main power and gasdynamic characteristics of C-l6VK hypersonic test cell of Research Test Center of CIAM. Gasdynamic adjustment of the C-l6VK test cell was carried out with the working section constructed on scheme of Ramjet/scramjet test in free stream. Gasdynamic adjustment was conducted stage by stage in tile following sequence. First, check and preparation of all technical systems and checking measuring system. Than determination of the characteristics of test cell on cold (without the heating of air at entrance) regime and determination of the characteristics of test cell on regimes with the heating of air. Finally determination of tile characteristics of test cell with the loading of the working part by object. On tile final stage of gasdynamic adjustment two experiments with tile axisymmetric Scramjet model loaded into the working part of test cell were conducted. The first experiment was conducted with the purpose of determination of flow parameters with the object leaded into the working part and verification of experiment cyclogram. The second experiment was conducted with injection of hydrogen into the combustion chamber of object, that is tile conditions on test cell simulated Scramjet flight Mach number M = 6. Such methodology of gasdynamic adjustment allows to determine influence of experimental object on flow parameters in the working part at different conditions of experiment (with the burning in combustion chamber of object and without the homing), and also to compare flow characteristics in the object duct.

• 인터넷정보학회논문지
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• 제15권5호
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• pp.107-121
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• 2014

분산 시스템은 물리적으로 분산된 컴퓨터들이 네트워크에 의해 유기적으로 연결된 것을 의미한다. 유무선 인터넷의 보편적인 사용으로 인해 사용자는 언제 어디서나 분산 서비스의 이용이 가능하게 되었다. 분산 서비스의 폭발적인 증가는 서비스의 기능적 측면에서의 검증뿐만 아니라 서비스 품질과 관련된 비기능적 요소의 검증도 강하게 요구하고 있다. 분산 서비스를 검증하기 위해서는 분산 시스템에 맞는 테스트 환경을 구축해야 한다. 하지만 분산 시스템은 물리적으로 분산된 노드로 구성되기 때문에 테스트 환경을 구축함에 있어서 단일 시스템의 테스트 환경보다 많은 노력이 요구된다. 이 논문에서 우리는 분산 시스템의 기능 및 비기능 요소의 검증을 위한 테스트 프레임워크를 제안한다. 제안하는 테스트 프레임워크는 메시지 시퀀스 차트(Message Sequence Chart)를 기반으로 테스트 케이스를 자동 생성하며, 물리적으로 분산된 노드를 흉내 낼 수 있는 가상의 분산 노드로 구성된 테스트 드라이버를 포함한다. 테스트 수행 결과는 다양한 그래프와 GUI를 통해서 쉽게 확인할 수 있다. 이 논문에서 제안하는 테스트 프레임워크를 통해 분산 시스템 테스트에 드는 노력을 감소할 수 있고 시스템의 신뢰성을 향상 시킬 수 있을 것이다.

• 한국동물학회지
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• 제39권3호
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• pp.282-291
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• 1996

한국 휘파람새(Cettia diphone)의 song은 더입부인 whistle부와 종결부인 syllable 의 두 부분으로 구성되며, 그들의 song은 도입부에 나타나는 note의 수에 따라서 2개 이하인 것은 $\alpha$ song mode로 3개 이상으로 구성되어지는 song은 $\beta$ song mode로 분류된다. 개체와 지역에 따라서 차이는 있지만 한 개체가 부르는 전채 song에서 $\alpha$ song mode가 차지하는 비율은 약 55%(51.5-58.7%)이었다. $\alpha$ mode는 $\beta$ mode에 비하여 whistle 부분의 dominant frequency는 높은 반면에, syllable 부분을 구성하는 syllable들의 수는 상대적으로 적었다. 휘파람새의 mode Sequence는 그들의 출현 순서에 따라서 $\alpha$$\alpha$, $\alpha$$\beta$, $\beta$$\alpha$, $\beta$$\beta$의 네가지로 정의되었다. 휘파람새의 지리적 변이 그룹인 south-coastal 그룹 내의 개체군집인 완도와 제주도에 있어서 song mode와 mode Sequence는 그들의 텃세권의 방어를 위하여 역할을 수행할 수 있다는 가설을 세우고 이를 검증하기 위하여 playback 실험을 수행하였다. 실험의 결과 mode Sequence는 실험전 자연 상태에서 녹음되어진 song과 playback의 실험 중에 녹음되어진 song과는 실험이 실시된 두 지역 모두에 있어서 의미 있는 차이를 나타내었다. 특히, 완도의 군집에서의 결과는 song mode의 사용이 서식지, singing site, 텃세권의 공간적인 형태에 따라 영향을 받는다는 것을 나타낸다. 나아가 song을 통한 텃세권의 방어에 있어서 특정의 mode sequence는 song mode 자체보다 더 중요한 역할을 할 수도 있을 것으로 생각된다.

• 한국농공학회지
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• 제22권3호
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• pp.75-87
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• 1980

Most hydro]ogic phenomena are the complex and organic products of multiple causations like climatic and hydro-geological factors. A certain significant correlation on the run-off in river basin would be expected and foreseen in advance, and the effect of each these causual and associated factors (independant variables; present-month rainfall, previous-month run-off, evapotranspiration and relative humidity etc.) upon present-month run-off(dependent variable) may be determined by multiple regression analysis. Functions between independant and dependant variables should be treated repeatedly until satisfactory and optimal combination of independant variables can be obtained. Reliability of the estimated function should be tested according to the result of statistical criterion such as analysis of variance, coefficient of determination and significance-test of regression coefficients before first estimated multiple regression model in historical sequence is determined. But some error between observed and estimated run-off is still there. The error arises because the model used is an inadequate description of the system and because the data constituting the record represent only a sample from a population of monthly discharge observation, so that estimates of model parameter will be subject to sampling errors. Since this error which is a deviation from multiple regression plane cannot be explained by first estimated multiple regression equation, it can be considered as a random error governed by law of chance in nature. This unexplained variance by multiple regression equation can be solved by stochastic approach, that is, random error can be stochastically simulated by multiplying random normal variate to standard error of estimate. Finally hybrid model on estimation of monthly run-off in nonhistorical sequence can be determined by combining the determistic component of multiple regression equation and the stochastic component of random errors. Monthly run-off in Naju station in Yong-San river basin is estimated by multiple regression model and hybrid model. And some comparisons between observed and estimated run-off and between multiple regression model and already-existing estimation methods such as Gajiyama formula, tank model and Thomas-Fiering model are done. The results are as follows. (1) The optimal function to estimate monthly run-off in historical sequence is multiple linear regression equation in overall-month unit, that is; Qn=0.788Pn+0.130Qn-1-0.273En-0.1 About 85% of total variance of monthly runoff can be explained by multiple linear regression equation and its coefficient of determination (R2) is 0.843. This means we can estimate monthly runoff in historical sequence highly significantly with short data of observation by above mentioned equation. (2) The optimal function to estimate monthly runoff in nonhistorical sequence is hybrid model combined with multiple linear regression equation in overall-month unit and stochastic component, that is; Qn=0. 788Pn+0. l30Qn-1-0. 273En-0. 10+Sy.t The rest 15% of unexplained variance of monthly runoff can be explained by addition of stochastic process and a bit more reliable results of statistical characteristics of monthly runoff in non-historical sequence are derived. This estimated monthly runoff in non-historical sequence shows up the extraordinary value (maximum, minimum value) which is not appeared in the observed runoff as a random component. (3) "Frequency best fit coefficient" (R2f) of multiple linear regression equation is 0.847 which is the same value as Gaijyama's one. This implies that multiple linear regression equation and Gajiyama formula are theoretically rather reasonable functions.