• 한국통신학회논문지
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• 제27권1A호
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• pp.58-65
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• 2002

본 논문은 음향반향제거기에서 상관계수를 이용하영 동시통화(Double-Talk) 구간을 검출할 때 발생하는 끝점검출 지연 문제에 대하여 다룬다. 동시통화가 끝나는 지점과 같이 신호의 전력이 급격하게 줄어드는 구간에서 망각지수(Forgetting Factor0를 사용하여 전력을 추정할 경우, 추정된 현재 전력은 과거 전력의 영향으로 급격하게 줄어들지 못하여 끝점검출 지연이 발생한다. 본 논문에서는 끝점검출 지연을 줄이기 위한 방안으로 두 가지 방법을 제안하였다. 하나는 일정 간격마다 새로운 평균 전력을 구해서 현재의 추정 전력으로 사용하는 방버이고, 다른 하나는 순환식에서 일정 구간마다 과거의 큰 전력 성분을 제거하거나 들는 값으로 대체하는 방법이다. 제안된 방법은 기존의 방법에 비해 계산량에서는 큰 증가를 보이지 않으면서 끝점검출 성능에서는 우수함을 실험을 통해 확인하였다.

• 품질경영학회지
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• 제39권2호
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• pp.170-178
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• 2011

In general, a software fault detection phenonenon is described by a software reliability model based on a nonhomogeneous Poisson process(NHPP). In this paper, we propose a software reliability growth model considering the differences of the software environments in both the testing phase and the operational phase. Also, we consider the problem of determining the optimal release time and the optimal warranty period that minimize the total expected software cost which takes account of periodic software maintenance(e.g. patch, update, etc). Finally, we analyze the sensitivity of the optimal release time and warranty period based on the fault data observed in the actual testing process.

• Asian Pacific Journal of Cancer Prevention
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• 제14권12호
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• pp.7193-7196
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• 2013

Ovarian cancer patients need a surveillance program for the detection of tumor progression after completion of treatment. The methods generally consist of history taking, physical examination, tumor marker monitoring and imaging. However, the details of recurrence detection with each method are not well defined. To clarify this issue, ovarian cancer patients who achieved complete or partial responses and developed tumor progression at the follow up time between January 2004 and December 2010 in University Hospital Chiang Mai, Thailand, were reviewed. Clinical data, CA 125 level and imaging results at the tumor progression time were recorded and analyzed. There were 144 ovarian cancer patients meeting the inclusion criteria with the mean age of 51 years and 62.5% of them were in an advanced stage. Complete response was achieved in 89 patients (61.8%) after primary treatment. The median progression free survival and overall survival were 15.5 months and 37.5 months, respectively. Abnormal symptoms presented in 49.3% of the studied patients and 59.7% developed physical examination abnormalities. In addition, CA 125 was elevated in 89.6% while in 74.3% of tumor progression was identified by CT-scan. Short treatment time period and a high level of CA 125 were significant independent prognostic factors in these patients. In conclusion, careful history taking, physical examination and monitoring of CA 125 levels are important methods for tumor progression detection in a surveillance program for epithelial ovarian cancer patients.

• IEIE Transactions on Smart Processing and Computing
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• 제5권5호
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• pp.327-330
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• 2016

Currently, the world's elderly population continues to grow at a dramatic rate. As the number of senior citizens increases, detection of someone falling has attracted increasing attention for visual surveillance systems. This paper presents a novel fall-detection algorithm using motion estimation and an integrated spatiotemporal energy map of the object region. The proposed method first extracts a human region using a background subtraction method. Next, we applied an optical flow algorithm to estimate motion vectors, and an energy map is generated by accumulating the detected human region for a certain period of time. We can then detect a fall using k-nearest neighbor (kNN) classification with the previously estimated motion information and energy map. The experimental results show that the proposed algorithm can effectively detect someone falling in any direction, including at an angle parallel to the camera's optical axis.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.286-289
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• 2007

This study is to develop a cloud detection algorit1un for COMS and it is currently tested by using MODIS level 2B and MTSAT-1R satellite radiance data. Unlike many existing cloud detection schemes which use a threshold method and traditional statistical methods, in this study a feed-forward neural network method with back-propagation algorit1un is used. MODIS level 2B products are matched with feature information of five-band MTSAT 1R image data to form the training dataset. The neural network is trained over the global region for the period of January to December in 2006 with 5 km spatial resolution. The main results show that this model is capable to detect complex cloud phenomena. And when it is applied to seasonal images, it shows reliable results to reflect seasonal characteristics except for snow cover of winter. The cloud detection by the neural network method shows 90% accuracy compared to the MODIS products.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권8호
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• pp.3769-3789
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• 2018

Social pedestrian groups are the basic elements that constitute a crowd; therefore, detection of such groups is scientifically important for modeling social behavior, as well as practically useful for crowd video understanding. A social group refers to a cluster of members who tend to keep similar motion state for a sustained period of time. One of the main challenges of social group detection arises from the complex dynamic variations of crowd patterns. Therefore, most works model dynamic groups to analysis the crowd behavior, ignoring the existence of stationary groups in crowd scene. However, in this paper, we propose a novel unified framework for detecting social pedestrian groups in crowd videos, including dynamic and stationary pedestrian groups, based on spatiotemporal-oriented energy measurements. Dynamic pedestrian groups are hierarchically clustered based on energy flow similarities and trajectory motion correlations between the atomic groups extracted from principal spatiotemporal-oriented energies. Furthermore, the probability distribution of static spatiotemporal-oriented energies is modeled to detect stationary pedestrian groups. Extensive experiments on challenging datasets demonstrate that our method can achieve superior results for social pedestrian group detection and crowd video classification.

• Journal of Biosystems Engineering
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• 제26권5호
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• pp.481-486
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• 2001

To increase the production efficiency in dairy industry, proper artificial insemination is the most important operation. For the successful artificial insemination, accurate estrus detection is required. The Korean dairy farmers usually depended on visual observation for estrus detection of cows. Mounting behaviour is one of major inidications observed when cows are at an estrus. A mounting activity detection system for cows using radiotelemetry was developed. This system included a transmitter with a pressure switch, a receiver, a serial communication interface, a personal computer and a computer software. All components and a whole system were tested both in a laboratory and in a farm. The results of this study are as follows: 1. All components including transmitter, receiver and serial interface were operated according to the design specification. 2. A whole system tested with simulated mounting activity of 400 times showed 100% of success rate. 3. In the farm test for 4 days with three cows expecting estrus, one cows experiencing mounting activities showed correct response with this system. However two cows did not show mounting activities because of weak estrus and cold weather during the testing period.

• Asian Pacific Journal of Cancer Prevention
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• 제16권18호
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• pp.8359-8364
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• 2016

Background: Thailand has come to an epidemiologic transition with decreasing infectious diseases and increasing burden of chronic conditions, including cancer. Breast cancer has the highest incidence rates among females throughout Thailand. This study aimed to identify the current burden and the future trends of breast cancer of Lopburi, a province in the Central Thailand. Materials and Methods: We used cancer incidence data from the Lopburi Cancer Registry to characterize and analyze the incidence of breast cancer in Central Thailand. With joinpoint and age-period-cohort analyses, the incidence of breast cancer in the province from 2001 to 2010 and project future trends from 2011 to 2030 was investigated. Results: Age-adjusted incidence rates of breast cancer in Lopburi increased from 23.4 to 34.3 cases per 100,000 female population during the period, equivalent to an annual percentage change of 4.3% per year. Both period and cohort effects played a role in shaping the increase in incidence. Joinpoint projection suggested that incidence rates would continue to increase in the future with incidence for women ages 50 years and above increasing at a higher rate than for women below the age of 50. Conclusions: The current situation where early detection measures are being promoted could increase detection rates of the disease. Preparation of sufficient budget for treatment facilities and human resources, both in surgical and medical oncology, is essential for future medical care.

• 대한공간정보학회지
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• 제18권2호
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• pp.87-92
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• 2010

인구의 증가는 하천 유역지역의 토지이용변화를 가속시켜왔으며, 토지이용변화에 대한 공간분포정보는 이들 지역에 대한 효과적인 관리와 계획에 중요한 자료가 되고 있다. 본 연구의 목적은 1989년, 1999년, 2002년도 IRS LISS III 영상자료를 이용하여 인도 서부에 위치한 Moyar유역지역의 1:50,000축척 토지이용변화도를 생성하는데 있다. 약 9가지의 토지이용분류자료는 3개년간의 영상자료를 시각적 판독방법에 의해 추출하였으며, 토지이용변화 검색은 관측시기 I(1989-1999)과 관측시기 II (1999-2002)에 대한 행렬분석방법에 의해 수행되었다. 본 연구를 통하여 기간 II가 기간 I보다 지속가능한 개발과 난개발을 방지하기 위한 실질적인 정보를 보여 주었다.

• 한국정보과학회논문지:소프트웨어및응용
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• 제34권3호
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• pp.255-265
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• 2007

본 논문은 지능형 자동차 개발을 위한 주간 및 야간 환경에서 차량 운전 시 발생할 수 있는 다양한 조명을 극복하고 운전자 졸음 상태를 단일 CCD(Charge Coupled Device) 카메라를 통해 감시하는 시스템을 제안한다. 운전 중 운전자 눈을 감시하여 졸음 상태를 판단하는 시스템에서 눈 검출 및 눈꺼풀 움직임 측정은 선행되어야 할 중요한 과정이다. 따라서 비전기반 시스템의 가장 큰 단점인 조명변화를 극복하며 눈 검출 성능을 높이고 실시간 처리가 가능한 간단한 조명 보정 알고리즘을 제안하였으며 또한 신뢰성 있는 졸음 판단을 위해 효율적인 눈꺼풀 움직임 측정 방법을 제안한다. 이러한 시스템은 실시간으로 처리되어야 하며 이를 위해 제안한 방법과 더불어 효율적인 눈 검증 방법으로 단계적 SVM(Cascaded Support Vector Machine)을 적용하였다. 한편, 제안한 알고리즘의 성능 측정을 위해 주간 및 야간의 다 양한 조명 변화 속에서 주행 중 수집된 운전자 동영상을 사용하였으며 자체 수집된 동영상에 대해 98% 이상의 눈 검출 성능 및 신뢰성 있는 눈꺼풀 움직임을 측정하였다. 최종 졸음판단 결과는 수집된 각각의 동 영상에 대한 PERCLOS(The percentage of eye-closed time during a period)를 비교함으로써 제안한 시스템의 성능 및 우수성을 보였다.