• 대한감각통합치료학회지
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• 제20권2호
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• pp.36-45
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• 2022

목적 : 본 연구의 목적은 국내에서 개발된 아동감각처리척도(Sensory Processing Scale for Children)를 사용하여 일반발달 아동과 감각처리문제 아동의 감각처리 능력을 비교하여 판별타당도를 알아보고자 하였다. 연구방법 : 연구대상자는 3-5세의 일반발달 아동 68명과 감각처리문제 아동 83명의 보호자로 총 151명을 대상으로 하였다. 연구 참여에 동의한 아동의 보호자에게 연구의 목적과 방법을 설명한 후 연구목적, 동의서, 아동감각처리척도(Sensory Processing Scale for Children), 단축감각프로파일(Short Sensory Profile), 일반적 특성 문항을 포함한 설문지를 발송 또는 전달하여 자료를 수집하였다. 분석방법은 아동감각처리척도(Sensory Processing Scale for Children)의 판별타당도를 알아보기 위해 성별을 공변량으로 하여 공분산분석을 실시하였다. 결과 : 연구결과 일반발달 아동과 감각처리문제 아동의 감각처리능력의 차이는 공변량인 성별의 영향(F=6.663, p=.807, partial =η².000)을 받지 않은 것으로 나타났으며, 두 군에서 감각처리능력에 차이가 있는 것으로 나타났다(F=37.629, p=.000). 아동감각처리척도(Sensory Processing Scale for Children)의 감각영역에서 총점과 모든 감각 영역에서 감각처리문제 아동이 일반발달 아동보다 평균점수가 낮았으며, 고유감각(p=.097) 영역을 제외하고 통계적으로 유의한 차이가 있었다. 아동감각처리척도(Sensory Processing Scale for Children)의 감각 요소에서 감각과민반응, 감각저반응, 그리고 감각구별 요소에서 감각처리문제 아동과 일반발달 아동은 통계적으로 유의미한 차이(p=.000)가 있었으나 감각찾기 요소는 통계적으로 유의한 차이가 없었다(p=.112). 결론 : 아동감각처리척도(Sensory Processing Scale for Children)는 감각처리문제 아동을 선별할 수 있는 판별타당도가 있는 도구로 제시할 수 있으며, 앞으로 임상 환경에서 감각처리의 문제를 선별하거나 분석, 해석, 그리고 중재계획 시 사용할 수 있으리라 생각한다.

• International Journal of Contents
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• 제12권1호
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• pp.60-64
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• 2016

As new applications of cloud data management system (CDMS) such as online games, cooperation edit, social network, and so on, are increasing, transaction processing capabilities for CDMS are required. Several transaction processing methods for cloud data management system (CDMS) have been proposed. However, existing transaction processing methods have some problems. Some of them provide limited transaction processing capabilities. Some of them are hard to be integrated with existing CDMSs. In this paper, we proposed a new concurrency control method to support transaction processing capability for CDMS to solve these problems. The proposed method was designed and implemented based on Spark, an in-memory distributed processing framework. It uses RDD (Resilient Distributed Dataset) model to provide fault tolerant to data in the main memory. In our proposed method, database stored in CDMS is loaded to main memory managed by Spark. The loaded data set is then transformed to RDD. In addition, we proposed a multi-version concurrency control method through immutable characteristics of RDD. Finally, we performed experiments to show the feasibility of the proposed method.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 추계학술대회
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• pp.334-343
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• 2003

The discharge gap clearly is to order and to promote the improvement of processing feature of die-sinking electro discharge machining(EDM). If creation carbon, which generated by Pyrolysis of EDM oil and processing pace power which is generated in between an electrode and a workpiece, are overproduced, they will lower the processing speed and roughness of the surface. Therefore, it is gone through an experiment and the flow analysis of EDM oil in order to improve the treatment of processing chips, which is an important problem by contriving a new flushing method. The condition of an electric discharge is not considered to be a progressing of processing. It is assumed that the flow of processing fluid is equal to the flow of processing chip, which is remaining in the discharge gap, and thus, analyzing then comparing with the data of the experiment and investigate its correlation.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.101-104
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• 2007

Efficient Query processing and optimization are critical for reducing network traffic and decreasing latency of query when accessing and manipulating sensor data of large-scale sensor networks. Currently it has been studied in sensor database projects. These works have mainly focused on in-network query processing for sensor networks and assumes homogeneous sensor networks, where each sensor network has same hardware and software configuration. In this paper, we present a framework for efficient query processing over heterogeneous sensor networks. Our proposed framework introduces query processing paradigm considering two heterogeneous characteristics of sensor networks: (1) data dissemination approach such as push, pull, and hybrid; (2) query processing capability of sensor networks if they may support in-network aggregation, spatial, periodic and conditional operators. Additionally, we propose multi-query optimization strategies supporting cross-translation between data acquisition query and data stream query to minimize total cost of multiple queries. It has been implemented in WSN middleware, COSMOS, developed by ETRI.

• E2M - 전기 전자와 첨단 소재
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• 제8권5호
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• pp.551-557
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• 1995

For the observation of treeing, a visual measurement with an optical microscope has been used to explain breakdown mechanism in high-voltage systems. The conventional directed visual method of tree aging observation is difficult to measure in short time processing, and it is impossible to analyze on tree degradation area, progressed direction, tree pattern, etc. By using an image processing technique, the tree features which appear immediately after the tree initiation as well as changes in the configuration of the tree can be easily measured and observed than using the conventional visual methods. In this paper, we have developed a tree observating system by using image processing for tree growth, degradation area and other treeing progress. As an experimental result, it can be concluded that the image processing method is a more effective alternative than directed visual observation method. As a matter of fact, it is possible to record the image of tree propagation immediately after its first appearance and explain the characteristics of tree growth froth the computer processing image.

• 디지털산업정보학회논문지
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• 제10권4호
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• pp.151-160
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• 2014

In this paper, a comparison of superpixel characteristics based on SLIC(simple linear iterative clustering) for several color feature spaces is presented. Computer vision applications have come to rely increasingly on superpixels in recent years. Superpixel algorithms group pixels into perceptually meaningful atomic regions, which can be used to replace the rigid structure of the pixel grid. A superpixel is consist of pixels with similar features such as luminance, color, textures etc. Thus superpixels are more efficient than pixels in case of large scale image processing. Generally superpixel characteristics are described by uniformity, boundary precision and recall, compactness. However previous methods only generate superpixels a special color space but lack researches on superpixel characteristics. Therefore we present superpixel characteristics based on SLIC as known popular. In this paper, Lab, Luv, LCH, HSV, YIQ and RGB color feature spaces are used. Uniformity, compactness, boundary precision and recall are measured for comparing characteristics of superpixel. For computer simulation, Berkeley image database(BSD300) is used and Lab color space is superior to the others by the experimental results.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2020년도 학술발표회
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• pp.96-96
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• 2020

In order to establish the risk criteria of inundation due to typhoons or heavy rainfall, research is underway to predict the limit rainfall using basin characteristics, limit rainfall and artificial intelligence algorithms. In order to improve the model performance in estimating the limit rainfall, the learning data are used after the pre-processing. When 50.0% of the entire data was removed as an outlier in the pre-processing process, it was confirmed that the accuracy is over 90%. However, the use rate of learning data is very low, so there is a limitation that various characteristics cannot be considered. Accordingly, in order to predict the limit rainfall reflecting various watershed characteristics by increasing the use rate of learning data, the watersheds with similar characteristics were clustered. The algorithms used for clustering are K-Means, Agglomerative, DBSCAN and Spectral Clustering. The k-Means, DBSCAN and Agglomerative clustering algorithms are clustered at the impervious area ratio, and the Spectral clustering algorithm is clustered in various forms depending on the parameters. If the results of the clustering algorithm are applied to the limit rainfall prediction algorithm, various watershed characteristics will be considered, and at the same time, the performance of predicting the limit rainfall will be improved.

• 한국식품조리과학회지
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• 제33권1호
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• pp.45-53
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• 2017

Purpose: Physicochemical and microbiological qualities were investigated to compare quality characteristics of traditional with commercial soy sauce (Ganjang). Methods: Nineteen traditional products were collected from six provinces and three commercial products were purchased in domestic markets. The proximate composition, inorganic substance contents, viable bacteria, and chromaticity of the soy sauces were measured. Results: Although concentrations of crude fat and protein were not significantly different between traditional and commercial Ganjang, the moisture concentration of commercial soy sauce was significantly higher than in traditional Ganjang (p<0.05). However, the amount of ash in commercial soy sauce was significantly lower than in traditional Ganjang (p<0.05). Total nitrogen concentrations of traditional and commercial Ganjang were 0.50-1.59% and 0.86-1.26%, respectively. Concentrations of Na, Mg, K, Ca, Li, B, Fe, and Sr in traditional Ganjang were significantly higher than in the commercial products (p<0.05). The number of total bacteria in traditional and commercial Ganjang were $3.3{\times}10^1-6.4{\times}10^7CFU/mL$ and $5.5{\times}10^1-2.0{\times}10^3CFU/mL$, respectively. Bacillus cereus were below 10,000 CFU/mL in all samples, and Staphylococcus aureus was not detected. Fungi was not detected in 13 samples of traditional Ganjang and the three samples of commercial soy sauce. Although lightness, redness, and yellowness were not significantly different among the Ganjang, G10 was had the highest values (p<0.05). Conclusion: This research provided information about the quality characteristics of traditional and commercial Ganjang.

• 한국식품조리과학회지
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• 제32권1호
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• pp.58-64
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• 2016

본 연구는 돈육 후지 부위를 영양학적으로 우수한 머리고기로 대체한 햄버거 패티의 품질 특성을 파악하여, 경제적이면서 고품질의 햄버거 패티를 개발하고자 연구를 실시하였다. 수분 함량, 명도, 적색도, 황색도, 가열수율 및 보수력은 머리고기 첨가량이 증가함에 따라 감소하는 추세를 나타냈으나, 지방 함량 및 회분 함량은 대조구와 머리고기를 첨가한 처리구간에 유의적인 차이를 보이지 않았다. 또한 머리고기 첨가량이 증가함에 따라 단백질 함량, pH, 직경감소율, 두께감소율 및 전단력은 증가하는 경향을 나타내었다. 관능적 특성도 색 및 풍미에서 대조구와 비교하여 15%까지 머리고기를 첨가한 처리구(T1, T2, T3)에서는 유의적인 차이가 인정되지 않았으며, 전체적인 기호도에서는 대조구와 비교하여 머리고기를 10%까지 첨가한 처리구에서 유의차가 나타나지 않았다. 따라서, 활용도가 낮은 돈육 부산물 중 머리고기를 활용하여 햄버거 패티를 제조할 시 머리고기의 첨가량이 10% 이하로 첨가하는 것이 햄버거 패티의 품질 및 관능적으로 우수한 식육제품을 제조할 수 있을 것으로 보여진다.

• 한국식품조리과학회지
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• 제31권5호
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• pp.588-595
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• 2015

카라기난, 트랜스글루타미제, 분리대두단백, 밀 식이섬유 첨가 종류에 따른 돈육 패티의 이화학적 및 관능적 특성을 조사하여, 결착제 첨가 종류에 따른 식육제품의 품질 변화를 알아보고자 하였다. 결착제 첨가 종류에 따른 보수력, 가열수율 및 수분함량은 대조구와 비교하여 카라기난, 분리대두단백 및 밀 식이섬유 첨가구가 높은 수치를 나타내었고, 직경감소율 및 두께감소율도 대조구와 비교하여 카라기난, 분리대두단백 및 밀 식이섬유 첨가구가 낮은 수치를 나타내었다. 전단력은 카라기난 첨가한 처리구가 가장 낮은 수치를 나타내었다. 또한 관능적 특성에서 연도, 다즙성 및 전체적인 기호도에서 대조구보다 결착제를 첨가한 처리구들이 높은 점수를 받았으나, 대조구를 포함한 모든 처리구에서 유의성이 인정되지는 않았다. 그러므로 결착제 첨가 종류에 따른 이화학적 및 관능적 특성 비교를 통하여 소비자 기호에 적합한 패티를 제조할 수 있는 기초자료로 활용할 수 있을 것으로 사료되며, 이러한 기초자료들을 바탕으로 다양한 첨가제들을 활용하여 다양성이 있는 식육제품 개발에 필요한 기초자료로 활용될 수 있을 것으로 보여진다.