• International journal of advanced smart convergence
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• 제12권1호
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• pp.59-63
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• 2023

We create a malware detector classification method with using the Sequential Probability Ratio Test (SPRT) in IoT. More specifically, we adapt the SPRT to classify malware detectors into two categories of basic and advanced in line with malware detection capability. We perform evaluation of our scheme through simulation. Our simulation results show that the number of advanced detectors is changed in line with threshold for fraction of advanced malware information, which is used to judge advanced detectors in the SPRT.

• International journal of advanced smart convergence
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• 제12권1호
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• pp.64-69
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• 2023

We devise a collaboration construction method based on the SPRT (Sequential Probability Ratio Test) for malware detection in IoT. In our method, high-end IoT nodes having capable of detecting malware and generating malware signatures harness the SPRT to give a reward of malware signatures to low-end IoT nodes providing useful data for malware detection in IoT. We evaluate our proposed method through simulation. Our simulation results indicate that the number of malware signatures provided for collaboration is varied in accordance with the threshold for fraction of useful data.

• Spatial Information Research
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• 제18권3호
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• pp.73-83
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• 2010

본 연구는 정지장면의 연속영상간 각 픽셀위치에서 일어나는 통계적 특성을 활용하여 영상을 분할하는 기법을 제안한다. 공간정보의 획득과 분석에서 디지털 영상 처리 기법의 활용은 아주 중요한 의미를 가진다. 특히 디지털 영상의 영역 구분을 위해 다양한 영상 분할(image segmentation) 기법들이 활용되고 있다. 본 연구에서는 선행 연구한 연속프레임 영상의 분광학적 특성 분석의 결과를 바탕으로 연속 프레임 간 Randomness를 활용한 이미지 분할 방법을 제안하였다. 우선 연속 프레임 간 각 화소에 통계학적인 분석 방법을 적용하여 각 화소의 평균과 표준편차 값을 구하고, 이를 통하여 대상 영상에서 가장 신뢰할 만한 화소들을 찾아 씨앗 점(seed point)을 결정하였다. 그리고 이 씨앗 점들을 시작으로 이웃 화소 간 T-test를 실시하였으며, 이를 기반으로 영역 성장(region growing)의 개념을 적용하여 영상을 분할 할 수 있는 기법을 연구하였다. 제안방식의 성능을 검증하기 위하여 실험을 통하여 기존의 방식과 비교분석을 수행하였다. 이러한 실험의 결과 영상분할에서 영상의 단일 프레임을 활용한 것보다 연속 프레임을 활용한 경우가 유리함을 확인 할 수 있었다.

• 응용통계연구
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• 제29권4호
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• pp.699-706
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• 2016

검정절차가 생략된 이상치 탐지법은 구조적으로 수렁효과나 가면효과에 취약하기 때문에 다수의 이상치를 제대로 탐지하지 못할 때가 있다. 본 연구에서는 군집화에 의하여 구분된 소수 관찰치군을 이상치로 판정하는 방법에 보완될 검정절차를 다룬다. 이에 관련된 일반적인 방법은 탐지된 이상치 후보군의 개별적인 관찰치에 대해 다양한 종류의 t-검정을 수행하는 것이다. 본 연구에서는 이상치 후보군에 대한 검정을 수행하고 군집나무의 절단기준을 변경시켜 새로운 이상치군을 탐색해 나가는 순차적인 방법을 제안한다. 예제와 모의실험을 통해 제시된 방법과 기존의 방법들을 비교한다.

• 제어로봇시스템학회논문지
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• 제10권12호
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• pp.1280-1286
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• 2004

A lot of industrial chemical processes contain certain input nonlinearities even though they are controlled by several linear controllers. Here we investigate a sequential loop closing identification method for MIMO Hammerstein nonlinear processes with diagonal nonlinearities. The proposed method separates the identification of the nonlinear static function from that of the linear subsystem by using a relay feedback test and a triangular type signal test. From 2 n activations for n n MIMO nonlinear processes, we sequentially identify the whole range of the nonlinear static function as well as the transfer function matrix of the linear subsystem.

• 품질경영학회지
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• 제17권1호
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• pp.48-59
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• 1989

The motor vehicle emission is expected to be constrained strongly in the future in accordance with the current policy as to prevention of air pollution. This paper establishes a sequential rectifying inspection plan which satisfies the standard motor vehicle emission for the automobile producers who are currently producting the automobiles with catalytic converts. This plan also considered the constraint of the effective motor vehicle emission by way of rectifying the certification test in the past. In order to evaluate the performance of the inspection plan, the recent certification test data have also been applied. The result of the application has proved that the rectified sequential inspection plan presented in this paper satisfies the standard motor vehicle emission and can be the optimal economic inspection plan. As a result the inspection plan given in this paper will be contributed to constrain the motor vehicle emission most effectively.

• Journal of Electrical Engineering and information Science
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• 제2권3호
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• pp.7-13
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• 1997

To overcome the large hardware overhead attendant in the full scan design, the concept of partial scan design has emerged with the virtue of less area and testability close to full scan. Combinational Structure has been developed to avoid the use of sequential test generator. But the patterns sifted on scan register have to be held for sequential depth period upon the aid of the dedicated HOLD circuit. In this paper, a new levelized structure is introduced aiming to exclude the need of extra HOLD circuit. The time to stimulate each scan latch is uniquely determined on this structure, hence each test pattern can e applied by scan shifting and then pulsing a system clock like the full scan but with much les scan flip-flops. Experimental results show that some sequential circuits are levelized by just scanning self-loop flip-flops.

• Communications for Statistical Applications and Methods
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• 제25권5호
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• pp.501-512
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• 2018

We propose Sequential Patient Recruitment Monitoring (SPRM), a new monitoring procedure for patient recruitment in a clinical trial. Based on the sequential probability ratio test using improved stopping boundaries by Woodroofe, the method allows for continuous monitoring of the rate of enrollment. It gives an early warning when the recruitment is unlikely to achieve the target enrollment. The packet data approach combined with the Central Limit Theorem makes the method robust to the distribution of the recruitment entry pattern. A straightforward application of the counting process framework can be used to estimate the probability to achieve the target enrollment under the assumption that the current trend continues. The required extension of the recruitment period can also be derived for a given confidence level. SPRM is a new, continuous patient recruitment monitoring tool that provides an opportunity for corrective action in a timely manner. It is suitable for the modern, centralized data management environment and requires minimal effort to maintain. We illustrate this method using real data from two well-known, multicenter, phase III clinical trials.

• 전자공학회논문지C
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• 제35C권4호
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• pp.30-37
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• 1998

In this paper, we propose a test generation method for large scale sequential circuits based on circuit partitioning to increase the size of circuits that the implicit product machine traversal (IPMT) method can handle. Our method paratitions a circuit under test into subset circuits with only single output, and performs a partial scan design using the state transtition cost that represents a degree of the connectivity of the subset circuit. The IPMT method is applied to the partitioned partial scan circuits in test generation. Experimental results for ISCAS89 benchmark circuits with more thatn 50 flip-flops show that our method has generated test patterns with almost 100% fault coverage at high speed by use of 34%-73% scanned flip-flops.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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• pp.1476-1480
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• 1987

This paper proposes a design method for SCLA(sequential CMOS Domino Logic Array) using 1-level CMOS Domino Logic and Stable Shift Register Latch. Also an algorithm to generate a test sequence and a test procedure for the SCLA are presented. The SCLA has advantages of low power consumption, high density and high speed, and performs hazard-and race-free logic operation, because of using SSRL(Stable Shift Register Latch). By using the proposed test method, all of stuck-at, cross-point, stuck-on and stuck-open faults in SCLA are detected by short test sequence.