• 한국항해항만학회지
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• 제26권4호
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• pp.427-433
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• 2002

최근 인터넷에서 사용되고 있는 하이퍼텍스트 생성 언어(HTML : Hyper Text Markup Language)는 제한된 태그(Tag)들을 사용하기 때문에 문서를 구조화시키지 못해 정보 축적과 정의추출 방법이 비효율적이고 추출한 정보의 가공이 어렵다. 그러나 확장성 생성 언어 (XML ； eXtensible Markup Language)는 사용자가 문서상에 사용될 태그를 자유롭게 정의할 수 있고 다른 사람들도 그 태그를 사용할 수 있기 때문에 HTML에 비해 정보 축적과 정보추출 방법이 용이하다. 서로 다른 데이터베이스를 사용하고 있는 항만 관련 업체들간의 물류에 관한 정보를 공유하거나 교환하기 위해서는 HTML이 아닌 XML이 더 적합하다. 본 논문에서는 항만업체들의 요구를 수용하기 위해 XML을 이용하여 웹에서 이기종 데이터베이스 관리 시스템(DBMS ; Database Management System)간의 데이터 복제 및 정보를 교환할 수 있는 웹 에이전트 시스템을 설계하고 구현하였다.

• 로봇학회논문지
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• 제17권3호
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• pp.365-372
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• 2022

The accurate object recognition is important for the precise and accurate manipulation. To enhance the recognition performance, we can use various types of sensors. In general, acquired data from sensors have a high sampling rate. So, in the past, the RNN-based model is commonly used to handle and analyze the time-series sensor data. However, the RNN-based model has limitations of excessive parameters. CNN-based model also can be used to analyze time-series input data. However, CNN-based model also has limitations of the small receptive field in early layers. For this reason, when we use a CNN-based model, model architecture should be deeper and heavier to extract useful global features. Thus, traditional methods like RN N -based and CN N -based model needs huge amount of learning parameters. Recently studied result shows that Fast Fourier Convolution (FFC) can overcome the limitations of traditional methods. This operator can extract global features from the first hidden layer, so it can be effectively used for feature extracting of sensor data that have a high sampling rate. In this paper, we propose the algorithm to recognize objects using tactile sensor data and the FFC model. The data was acquired from 11 types of objects to verify our posed model. We collected pressure, current, position data when the gripper grasps the objects by random force. As a result, the accuracy is enhanced from 84.66% to 91.43% when we use the proposed FFC-based model instead of the traditional model.

• 한국컴퓨터정보학회논문지
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• 제22권6호
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• pp.57-68
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• 2017

The Linked Open Data(LOD) cloud is quickly becoming one of the largest collections of interlinked datasets and the de facto standard for publishing, sharing and connecting pieces of data on the Web. Data publishers from diverse domains publish their data using Resource Description Framework(RDF) data model and provide SPARQL endpoints to enable querying their data, which enables creating a global, distributed and interconnected dataspace on the LOD cloud. Although it is possible to extract structured data as query results by using SPARQL, users have very poor in analysis and visualization of RDF data from SPARQL query results. Therefore, to tackle this issue, based on Formal Concept Analysis, we propose a novel approach for analyzing and visualizing useful information from the LOD cloud. The RDF data analysis and visualization technique proposed in this paper can be utilized in the field of semantic web data mining by extracting and analyzing the information and knowledge inherent in LOD and supporting classification and visualization.

• Journal of the Korean Data and Information Science Society
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• 제16권3호
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• pp.515-527
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• 2005

The data mining is a new approach to extract useful information through effective analysis of huge data in numerous fields. We utilized this data mining technique to analyze medical record of 39,900 people. Whole data were separated by gender first and divided into three groups, including normal, stage 1 hypertension, and stage 2 hypertension. The data from each group were analyzed with data mining technique. Based on the result that we have extracted with this data mining technique, major risk factors for the hypertension are age, BMI score, family history.

• 한국멀티미디어학회논문지
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• 제24권9호
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• pp.1242-1250
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• 2021

Detection of outliers deviating normal data distribution in high dimensional data is an important technique in many application areas. In this paper, a distance-based outlier detection method using landmarks in high dimensional data is proposed. Given normal training data, the k-means clustering method is applied for the training data in order to extract the centers of the clusters as landmarks which represent normal data distribution. For a test data sample, the distance to the nearest landmark gives the outlier score. In the experiments using high dimensional data such as images and documents, it was shown that the proposed method based on the landmarks of one-tenth of training data can give the comparable outlier detection performance while reducing the time complexity greatly in the testing stage.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.21-28
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• 2021

In this paper, a novel data transferring method is introduced that can transmit sensor data without using data bandwidth or an extra-processing cycle in a delay insensitive network. The proposed method uses human devices as Mules, does not disturb the device owner for permission, and saves energy while transferring sensor data to the collection hub in a wireless sensor network. This paper uses IP addressing technique as the data transferring mechanism by embedding the sensor data with the IP address of a Mule. The collection hub uses the ARP sequence method to extract the embedded data from the IP address. The proposed method follows WiFi standard in its every step and ends when data collection is over. Every step of the proposed method is discussed in detail with the help of figures in the paper.

• International Journal of Internet, Broadcasting and Communication
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• 제11권1호
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• pp.85-88
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• 2019

In this paper, we propose a technique for spatially encrypting confidential data into R, G, B planes of color image and extracting spatially encrypted confidential data. The effectiveness of the proposed technique is verified by mathematically analyzing the quality of the stego-image generated using the proposed technique. The proposed technique can hide confidential data securely into cover image by spatially encrypting the confidential data, and can extract confidential data from the stego-image. The quality of the stego-image created by applying the proposed technique is very good. The average value of the quality of the stego-image is 51.14 dB. Therefore, it is not visually recognizable whether the confidential data is hidden in the stego-image. The proposed technique can be widely used for military and intellectual property protection.

• Journal of information and communication convergence engineering
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• 제20권4호
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• pp.265-272
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• 2022

The most effective method to improve information system capabilities is to enable instant access to several relational database sources and transform data with a logical structure into multiple target relational databases. There are numerous data transformation tools available; however, they typically contain fixed procedures that cannot be changed by the user, making it impossible to fulfill the near-real-time data transformation requirements. Furthermore, some tools cannot build object references or alter attribute constraints. There are various situations in which tool changes in data type cause conflicts and difficulties with data quality while transforming between the two systems. The R-programming language was extensively used throughout this study, and several different relational database structures were utilized to complete the proposed study. Experiments showed that the developed study can improve the performance of information systems by interacting with and exchanging data with various relational databases. The study addresses data quality issues, particularly the completeness and integrity dimensions of the data transformation processes.

• 한국융합학회논문지
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• 제7권3호
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• pp.53-58
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• 2016

본 연구의 목적은 glutamic acid, linoleic acid, 연밥의 ethyl acetate 조추출물 및 ethyl alcohol 조추출물의 항산화효과를 알아보고자 하였다. 항산화능을 알아보고자 DPPH 라디칼 소거능, 지질과산화능 및 슈퍼옥사이드 디스뮤타제 유사활성을 측정하였다. Glutamic acid, linoleic acid, 연밥의 ethyl acetate 조추출물 및 ethyl alcohol 조추출물은 농도 의존적으로 DPPH 라디칼 소거능과 슈퍼옥사이드 디스뮤타제 유사활성을 증가시켰다. Glutamic acid, linoleic acid, 연밥의 ethyl acetate 조추출물 및 ethyl alcohol 조추출물은 대조군의 지질과산화의 증가에 비하여 시간 경과에 따른 반비례 양상으로 지질과산화가 감소하였다. 이상의 결과에서 연밥의 조추출물은 우수한 항산화능 물질이 존재 할 가능성을 제시하며 융합 연구를 통한 노화 방지 관련 의약품 개발 등에 응용되어질 수 있다.

• 한국균학회지
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• 제43권1호
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• pp.40-46
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• 2015

야생 꽃송이버섯의 생리활성 물질을 탐색하여 기능성 식품 개발에 이용하기 위해 꽃송이버섯 물 추출물과 유기용매 분획물의 혈전 용해 활성과 트롬빈 저해 활성, 항산화 활성 및 항염증 활성을 확인하였다. 부탄올 분획물과 에틸아세테이트 분획물이 각각 0.70 plasmin unit과 2.03 plasmin unit의 높은 혈전 용해 활성을 나타내고, 클로로포름 분획물이 83.87%의 높은 트롬빈 저해 활성을 나타냈으며, 에틸아세테이트 분획물이 95.94%의 높은 항산화 활성을 나타냈으며, 클로로포름 분획물은 82.62%의 높은 항염증 활성을 나타냈다. 그러므로 본 연구에서 나타난 꽃송이버섯의 혈전 용해, 트롬빈 저해, 항산화 및 항염증 효과들의 우수한 생리활성 결과들로부터 꽃송이버섯은 혈관계 질환 성인병 치료와 예방을 위한 기능성 식품소재로 활용 가치가 매우 큼을 알 수 있었다.