• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.4
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• pp.23-33
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• 2009

A shot change detection technique is an important technique for effective management of video data, thus it requires an adaptive algorithm for various video sequences to detect an accurate shot change frames. In this paper, we propose an adaptive shot change detection algorithm using histogram mean of frames within extension sliding window. Our algorithm calculates a frame feature value using histogram and defines an adaptive threshold using an average of histogram mean of frames within the extension sliding window and determines a shot change by comparing the feature value and the threshold. We obtained better detection rate than the conventional methods maximally by 15% in the experiment with the same test sequence. We verified real-time operation of shot change detection in the hardware platform with low performance by implementing it on TVUS HM-900 PLUS model of Homecast. The Proposed algorithm can be useful in the hardware platform such as portable multimedia player(PMP) or cellular phone with low CPU performance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.48-55
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• 2020

Recently, a study of prognosis and health management (PHM) was conducted to diagnose failure and predict the life of air craft engine parts using sensor data. PHM is a framework that provides individualized solutions for managing system health. This study predicted the remaining useful life (RUL) of aeroengine using degradation data collected by sensors provided by the IEEE 2008 PHM Conference Challenge. There are 218 engine sensor data that has initial wear and production deviations. It was difficult to determine the characteristics of the engine parts since the system and domain-specific information was not provided. Each engine has a different cycle, making it difficult to use time series models. Therefore, this analysis was performed using machine learning algorithms rather than statistical time series models. The machine learning algorithms used were a random forest, gradient boost tree analysis and XG boost. A sliding window was applied to develop RUL predictions. We compared model performance before and after applying the sliding window, and proposed a data preprocessing method to develop RUL predictions. The model was evaluated by R-square scores and root mean squares error (RMSE). It was shown that the XG boost model of the random split method using the sliding window preprocessing approach has the best predictive performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.4183-4191
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• 2011

Considering the characteristics of a data stream whose data elements are continuously generated and may change over time, there have been many techniques to differentiate the importance of data elements in a data stream by their generation time. The conventional techniques are efficient to get an analysis result focusing on the recent information in a data stream, but they have a limitation to differentiate the importance of information in various ways more flexible. An information differentiation technique based on the term of a fuzzy set can be an alternative way to compensate the limitation. A term of a fuzzy set has been widely used in various data mining fields, which can overcome the sharp boundary problem and give an analysis result reflecting the requirements in real world applications more. In this paper, a fuzzy window mechanism is proposed, which is adapting a term of a fuzzy set and is efficiently used to differentiate the importance of information in mining data streams. Basic concepts including fuzzy calendars are described first, and subsequently details on data stream mining of weighted patterns using a fuzzy window technique are described.

• Journal of the military operations research society of Korea
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• v.36 no.2
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• pp.11-24
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• 2010

Quick precision-strike capability of the artillery will be an important factor in modern and future war and it's represented by NCW and EBO. This study is based on artillery which has time limitation of firing, such as artillery which hides when not firing, and modeling various situations to decide firing order and who to shoot. The main purpose of this study is to suggest a mathematical programming model and a genetic algorithm which satisfies the limitation of firing time. The objective function is to minimize the total firing time to spend. The results of the suggested algorithm quickly gives a best solution for a large scale field artillery targeting problems.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.2
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• pp.43-46
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• 2014

A time-series data is the collection of real numbers over the time intervals. One of the main tasks in time-series data is efficiently to find subsequences similar to a given query sequence. In this paper, we propose an efficient subsequence matching method, which is called Instance-Match (I-Match). I-Match constructs a virtual window in order to reduce false alarms. Through the experiment with real data set and query sets, we show that I-Match improves query processing time by up to 2.95 times and significantly reduces the number of candidates comparing to Dual Match.

• Journal of radiological science and technology
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• v.6 no.1
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• pp.103-113
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• 1983

Scintillation cameras을 사용(使用)할때 양질(良質)의 화상(畵像)을 얻기 위하여 camera의 성능(性能), 방사성의약품(放射性醫藥品)의 특성(特性), 그리고 적정(適正)한 촬상조건(撮像條件)을 고려할 필요(必要)가 있다. 특(特)히 RI 상(像)에 대한 촬상조건(撮像條件)은 film의 성질(性質), 상(像)의 크기, 상(像)의 농도(濃度), window, 그리고 콜리메타 전면(前面)으로부터 거리(距離) 등(等)에 따라서 좌우(左右)된다. 이러한 요인(要因)들은 각각 화상(畵像)을 만드는 과정에 영향(影響)을 미치고 있다. 그러므로 상(像)의 표준화(標準化)와 촬상방법(撮像方法)의 기준(基準)을 확립(確立)하기가 매우 어렵다. 고로 이러한 문제(問題)들을 해결(解決)하는 것은 Scintillation camera을 사용(使用)하는 핵의학적(核醫學的) 검사(檢査)에 있어서 매우 중요(重要)하다. 저자(著者)는 이러한 점(點)을 고려하여 일정(一定)한 상(像)의 농도(濃度)을 얻을 수 있는 촬상조건(撮像條件)에 대(對)하여 실험(實驗)을 하였다. 실험(實驗)에 있어서 평행다공형(平行多孔型) 콜리메타를 camera의 head에 부착(附着)시키고 $^{99m}Tc$(3mCi)가 넣어져 있는 liver phantom을 콜리메타의 표면(表面)에 밀착(密着)시켜 다음과 같은 방법(方法)에 의하여 촬상(撮像)하였다. 즉, 일정(一定)한 상(像)의 농도(濃度)을 얻을 수 있는 촬상조건(撮像條件)을 찾아낼 목적(目的)으로 preset time, image size, 콜리메타전면(前面)- phantom간(間) 거리(距離), 그리고 window를 각각(各各) 변화(變化)시키면서 phantom을 촬상(撮像)하였으며, 특(特)히 거리(距離)와 window에 있어서는 cold defects의 검출능(檢出能)도 비교검토(比較檢討)하였다. 실험결과(實驗結果)는 다음과 같다. 1. C type film에 있어서 1.5의 농도(濃度)을 얻기위해서는 7.5의 intensity 에서 preset time은 60초(秒), image size는 1.0, 콜리메타-phantom간거리(間距離)는 0cm 그리고 window는 20%가 요구(要求)되고 있었다. 2. 편면유제(片面乳劑) film의 preset time은 양면유제(兩面乳劑) film보다 짧은 것으로 나타났다. 3. 상(像)의 분해능(分解能)은 image size가 작을수록, 콜리메타-phantom간(間) 거리(距離)가 짧을수록, 그리고 window 폭(幅)이 좁을수록 더욱 더 향상(向上)되고 있었다. 4. Cold defects의 검출능(檢出能)은 image size가 작을수록, 콜리메타-pantom간(間) 거리(距離)가 짧을수록, 그리고 window폭(幅)이 좁을수록 향상(向上)되고 있었다.

• The KIPS Transactions:PartC
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• v.12C no.4 s.100
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• pp.571-580
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• 2005

In fast long-distance networks, TCP's congestion control algorithm has the problem of utilizing bandwidth effectively. Several window-based congestion control protocols for high-speed and large delay networks have been proposed to solve this problem. These protocols deliberate mainly three properties : scalability, TCP-friendliness, and RTT-fairness. These protocols, however, cannot satisfy above three properties at the same time because of the trade-off among them This paper presents a new window-based congestion control algorithm, called EM (Exponential Increase/ Multiplicative Decrease), that simultaneously supports all four properties including fast convergence, which is another important constraint for fast long-distance networks; it can support scalability by increasing congestion window exponentially proportional to the time elapsed since a packet loss; it can support RTT-fairness and TCP-friendliness by considering RTT in its response function; it can support last fair-share convergence by increasing congestion window inversely proportional to the congestion window just before packet loss. We evaluate the performance of EIMD and other algorithms by extensive computer simulations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.563-569
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• 2018

This paper is on the implementation of a system for automatically monitoring window farm hydroponics based on Arduino (utilizing Arduino's open source code) emerging as the icon of the Fourth Industrial Revolution. A window farm, which means window-type hydroponics, is offered as an alternative to fulfill the desires of people who want to grow plants aside from the busy daily life in the city. The system proposed in this paper was developed to automatically monitor a window farm hydroponics cultivation environment using the Arduino UNO board, a four-charmel motor shield, temperature and humidity sensors, illumination sensors, and a real-time clock module. Modules for hydroponics have been developed in various forms, but power consumption is high because most of them use general power and motors. Since it is not a system that is monitored automatically, there is a disadvantage in that an administrator always has to manage its operational state. The system is equipped with a water supply that is most suitable for a plant growth environment by utilizing temperature, humidity, and light sensors, which function as Internet of Things sensors. In addition, the real-time clock module can be used to provide a more appropriate water supply. The system was implemented with sketch code in a Linux environment using Raspberry Pi 3 and Arduino UNO.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.19 no.7
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• pp.673-678
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• 2009

The efficiency of active sonar that is used underwater observation equipment is important for obtain the information of topography and trace for the objects. Sound wave transmitted from sonar are distorted by acoustic window which is to protect sonar. Making various sonar dome is impossible for experiment, because consumed unnecessary time and expense. So, the purpose of this study is to simulate and analyze the acoustic window propagated sound wave from sonar for designing model reduced insertion loss. Simulation is performed by transient analysis and fluid-structure interaction analysis. As a result, this study will give a opportunity for efficient design of sonar dome without high cost and time consumption.

• The Journal of the Acoustical Society of Korea
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• v.15 no.4E
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• pp.53-57
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• 1996

An extension of the well-known Fourier transform is developed in this paper. It is denoted as the generalized Fourier transform(GFT), since it encompasses the Fourier transform as its special case. The first idea of this extension can be found on [1]. In the definition of the N-point discrete GFT, it first construct a passband in time which functions as a window in the time domain. An appropriate interpretation of each variables are introduced during the definition of the GFT, followed by the formal derivation of the inverse GFT. This transform pair is similar to the windowing in the frequency domain such as the subband coding technique (or filter bank approach) and could be extended to the wavelet transform.