• Journal of the Korean Institute of Intelligent Systems
• /
• v.26 no.5
• /
• pp.361-367
• /
• 2016

The intruder detection system using digital PIR sensor has the problem that it can't recognize human correctly. In this paper, we suggest a new intruder detection system based on analog PIR sensor to get around the drawbacks of the digital PIR sensor. The analog type PIR sensor emits the voltage output at various levels whereas the output of the digitial PIR sensor is binary. The signal captured using analog PIR sensor is sampled, and its frequency feature is extracted using FFT or MFCC. The extracted features are used for the input of neural networks. After neural network is trained using various human and pet's intrusion data, it is used for classifying human and pet in the intrusion situation.

• Korean Journal of Adult Nursing
• /
• v.12 no.4
• /
• pp.507-516
• /
• 2000

This study examines that North American Nursing Diagnosis Association(NANDA) and Home Health Care Classification(HHCC) is appropriate to classify home health care client's nursing problems and suggests a modified nursing diagnosis classification system. Two hundred and forty-nine clients' records at a general hospital were reviewed and nursing problems were diagnosed according to each classification system. Results of this study are as follows. The major client's medical diagnosis are pregnancy, childbirth and puerperium, malignant neoplasm, and benign neoplasm. Of four hundred and sixty-three nursing problems, all nursing problems made a diagnos according to HHCC, while three hundred and eighty-five made a diagnosis according to NANDA. The HHCC diagnosis included 78 more nursing problems than NANDA. The discrepancy in the results may indicate a significant advantage to HHCC diagnosis because HHCC nomenclature was created empirically from hard data. However, this may be due to limitations in the data collection method so determination of which classification system is more useful is difficult to judge. However, nursing components of the HHCC are more concrete and clearer than human response patterns of the NANDA. Also the HHCC facilitates the documentation of patient care by computer, while using a conceptual framework consisting of 20 Care Components based on the nursing process: assessment, diagnosis, outcome identification, planning, implementation and evaluation. Accordingly, the practical application of HHCC is more useful than NANDA. Limitations of this study include a retrospective data collecting method and universality of samples. Further research for various samples that use prospective data collection method is recommended.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.6
• /
• pp.2631-2638
• /
• 2013

In this study, to understand the technology development trend of super-speed maglev, the patents applied by major countries are analyzed. And based on the analyzed results, the domestic technology development direction are suggested. For patent analysis, the major technologies for super-speed maglev are classified into 14 parts. Then, through the quantitative analysis method such as number, increase rate and share rate, the overview of technology development and focused parts by each country are investigated. Also through the qualitative analysis method such as concentration degree, citation index and market share index, the technology level and market securing ability of each country are anticipated. Considering the analyzed results and technology development trend, the domestic technology development direction such as priority development fields and methods are proposed.

• Journal of the Institute of Convergence Signal Processing
• /
• v.12 no.4
• /
• pp.250-257
• /
• 2011

In this paper, we proposed the method detecting multiple pedestrians using motion information and SVM(Support Vector Machine) from a moving camera image. First, we detect moving pedestrians from both the difference image and the projection histogram which is compensated for the camera ego-motion using corresponding feature sets. The difference image is simple method but it is not detected motionless pedestrians. Thus, to fix up this problem, we detect motionless pedestrians using SVM The SVM works well particularly in binary classification problem such as pedestrian detection. However, it is not detected in case that the pedestrians are adjacent or they move arms and legs excessively in the image. Therefore, in this paper, we proposed the method detecting motionless and adjacent pedestrians as well as people who take excessive action in the image using motion information and SVM The experimental results on our various test video sequences demonstrated the high efficiency of our approach as it had shown an average detection ratio of 94% and False Positive of 2.8%.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
• /
• v.3 no.2
• /
• pp.90-93
• /
• 1998

Cultured isolates of Prorocentrum minimum, P. micans, P. triestinum, P. balticum, Gymnodinium sanguineum, Alexandrium catenella, Scrippsiella trochoidea, and Heterosigma akashiwo from red tides in southern coast of Korea were phylogenetically compared on the basis of their 24S rRNA genes. For each isolate approximately 700 bp of 24S rDNA, encompassing D1 and D2 hypervariable domains, was amplified using the polymerase chain reaction and sequenced. The sequences were aligned with those reported in Genbank by using ClustalW program and phylogenetic tree was generated to show that morphospecies designations in the Alexandrium and Prorocentrum species are congruent with terminal taxa defined by phylogenetic analysis of the 24S rRNA fragment. Our results suggest that the molecular phylogeny approach could facilitate identification of domestic dinoflagellates which have ambiguous morphologies.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
• /
• 2001.04a
• /
• pp.168-168
• /
• 2001

제지공정의 지절 현상은 많은 공정 변수들이 복합적으로 작용하여 발생하는 가장 큰 공정 트러블 중의 하나이다. 지절은 생산량 감소 뿐만 아니라 발생 후 공정의 복구 와 정리, 생산재가동 및 공정의 재안정화를 위해 많은 시간과 비용, 그리고 노력이 투 입되어야 하므로 공정의 효율과 생산성을 크게 저하시키는 요인이다. 그러나 지절 현상 의 복잡성 때문에 이에 대해 쉽게 접근하거나 해결하지 못하고 있는 것이 현실이지만 그 필요성은 더욱 더 증대되고 있다. 본 연구에서는 최근 들어 각종 산업분야에서 복잡 한 공정상의 결점 발견 및 진단에 효과적이라고 인정받고 있는 예측 분석기법인 인공 신경망(artificial neural network) 시율레이션과 일반적인 통계기법 중의 하나인 주성분 분석을 이용하여 제지 공정의 지절 현상의 검토 가능성을 타진하였다. 인공신경망이란 인간두뇌에서 일어나는 자극-반응-학습과정을 모사하여 현실세계에 존재하는 다양한 현상들의 업력벡터와 출력상태 간의 비선형 mapping올 컴퓨터 시율 레이션을 통하여 분석하고자 하는 기법으로, 여러 가지 현상들을 학습을 통해서 인식하 는 신경망 내의 신경단위들이 병렬처리에 의해 많은 양의 자료에 대한 추론이나 판단 을 신속하고 정확하게 해주는 특징이 있으며 실시간 패턴인식이나 분류 응용분야에도 매우 매력적으로 이용되고 있는 방법이다. 이러한 인공 신경망 기법 중에서도 본 연구 에서는 퍼셉트론의 한계점을 극복하기 위하여 입력총과 출력층에 한 개 이상의 은닉층 ( (hidden layer)을 사용하여 다층 네트워으로 구성하고, 모든 입력패턴에 대하여 발생하 는 오차함수를 최소화하는 방향으로 연결강도를 조정하는 back propagation 학습 알고 리즘을 사용하였다. 지절의 원인으로 추정 가능한 공정인자들을 변수로 하여 최적의 인 공신경망을 구축하기 위해 학습률과 모멘트 상수의 변화 및 은닉층의 수와 출력층의 뉴런 수를 조절하는 동의 작업을 거쳐 네트워크의 정확도가 높은 인공신경망을 설계하 였다. 또한 이러한 인공신경망과의 비교분석을 위해 동일한 공정 데이터들올 이용하여 보편적으로 사용하는 통계기법 중의 하나인 주성분회귀분석을 실시하였다. 주성분 분석은 여러 개의 반응변수에 대하여 얻어진 다변량 자료의 다차원적인 변 수들을 축소, 요약하는 차원의 단순화와 더불어 서로 상관되어있는 반응변수들 상호간 의 복잡한 구조를 분석하는 기법이다. 본 발표에서는 공정 자료를 활용하여 인공신경망 과 주성분분석을 통해 공정 트러블의 발생에 영향 하는 인자들을 보다 현실적으로 추 정하고, 그 대책을 모색함으로써 이를 최소화할 수 있는 방안을 소개하고자 한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.28 no.2
• /
• pp.255-263
• /
• 2010

In order to prepare the interchange between and the unification of North and South Korea, it is needed to establish the development direction of irrigation reservoirs and formulate technological and political directions for preparing effectively against the demand of agricultural countermeasure information like the analysis of rural comprehensive development projects and the present state of agricultural land of North Korea. The purpose of this research is to construct the database of agricultural productive infrastructures and analyze the present state of irrigation reservoirs of the Yeseong River Basin in North Korea using SPOT-5 satellite imagery. As a result of the research, we were able to not only design classification items but establish method and precedure for producing thematic maps related agricultural productive infrastructure without on-site survey by analyzing present condition related to agricultural water of the basin. And we intend to provide basic data for analyzing suitabile locations of irrigation reservoirs in the basin by performing basin extraction, volume evaluation of the existing reservoirs, scale cultivative lands, benefit area fo the reservoirs, and the existing agricultural water system. In addition, we were able to understand the problem and limit in constructing the database related agricultural productive facilities.

• Journal of Broadcast Engineering
• /
• v.20 no.4
• /
• pp.521-532
• /
• 2015

This paper presents a piecewise image denoising with multi-scale block region detector based on quadtree structure for effective image restoration. Proposed piecewise image denoising method suggests multi-scale block region detector (MBRD) by dividing whole pixels of a noisy image into three parts, with regional characteristics: strong variation region, weak variation region, and flat region. These regions are classified according to total pixels variation between multi-scale blocks and are applied principal component analysis with local pixel grouping, bilateral filtering, and structure-preserving image decomposition operator called relative total variation. The performance of proposed method is evaluated by Experimental results. we can observe that region detection results generated by the detector seems to be well classified along the characteristics of regions. In addition, the piecewise image denoising provides the positive gain with regard to PSNR performance. In the visual evaluation, details and edges are preserved efficiently over the each region; therefore, the proposed method effectively reduces the noise and it proves that it improves the performance of denoising by the restoration process according to the region characteristics.

• KSBB Journal
• /
• v.17 no.4
• /
• pp.376-380
• /
• 2002

Production of the exopolymer by Aureobasidium pullulans SM-2001, UV induced mutant of A. pullulans ATCC 42023, was investigated. The exopolymer produced by A. pullulans SM-2001 was confirmed to be ${\beta}$-1,3-linked homoglucans containing a few ${\beta}$-1,6-linked single glucosyl branches(${\beta}$-1,3/1,6-glucan) with the nuclear magnetic resonance(NMR) spectrum. The average molecular weight of ${\beta}$-1,3/1,6-glucan produced by A. pullulans SM-2001 was about 2.6 ${\times}$ 10$\^$5/ by the gel permeation chromatographic analysis. Sucrose was known to be better carbon source for the production of ${\beta}$ -1,3/1,6-glucan than other tested carbon sources in this study. Maximal conversion rate of ${\beta}$-1,3/1,6-glucan was about 50% when the carbon source was 0.5%(w/v) sucrose.

• Geotechnical Engineering
• /
• v.13 no.4
• /
• pp.121-134
• /
• 1997

Vibrations induced by traffic loading and construction activities are extremely important due to their potential to cause damage to adjacent structures and toy complaints to the neighbors. Vibration induced damage to the built environment may be caused by the direct transmission of vibrations as well as by the, vibration induced differential settlement. In order to effectively control the vibration related problems, the accurate in-situ vibration monitoring is essential. In this paper, a calibration technique of a geophone which is widely used in practice was described. Once the frequency characteristics of individual geophones were calibrated, the 3fomponent geophone was developed for the in-depth vibration measurement, and the dot ailed calibration and application techniques of the 3fomponent geophone were described. Vibrations caused by blasting, train loading, and pile driving were measured and the applicability of the 3fomponent geophone was assessed.