• The Journal of the Korea Contents Association
• /
• v.10 no.1
• /
• pp.114-121
• /
• 2010

Based on a complex event processing technique, an abuse pattern monitoring method is developed to provide an real-time detection. CEP is a technique to find complex event pattern in a massive information system. In this study, the events occurred by game-play are observed to be against the rules using CEP. User abuse patterns are pre-registered in CEP engine. And CEP engine monitors user abuse after aggregating the game data transferred by game logging server.

• The Transactions of the Korea Information Processing Society
• /
• v.4 no.8
• /
• pp.1940-1947
• /
• 1997

The paper describes the design and implementation of Auto-Presentation Feature, Hanuri/C, as Client/Server tool. Hanuri/C provides editing functions for the sequence, period, type, and repeating number of auto-presentation. With the pre-fixed sequences users can get automated presentations through Hanuri/C. The proposed auto-presentation function provides an ability to automatically present the data in the database system without user intervention.

• Journal of Information Processing Systems
• /
• v.13 no.5
• /
• pp.1052-1070
• /
• 2017

For the autoencoder (AE) implemented as a construction component, this paper uses the method of greedy layer-by-layer pre-training without supervision to construct the stacked autoencoder (SAE) to extract the abstract features of the original input data, which is regarded as the input of the logistic regression (LR) model, after which the click-through rate (CTR) of the user to the advertisement under the contextual environment can be obtained. These experiments show that, compared with the usual logistic regression model and support vector regression model used in the field of predicting the advertising CTR in the industry, the SAE-LR model has a relatively large promotion in the AUC value. Based on the improvement of accuracy of advertising CTR prediction, the enterprises can accurately understand and have cognition for the needs of their customers, which promotes the multi-path development with high efficiency and low cost under the condition of internet finance.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2013.11a
• /
• pp.768-770
• /
• 2013

We propose a symmetric key based cryptography algorithm to encode and decode the text data with limited length using 3-dimensional magic square matrix. To encode the plain text message, input text will be translated into an index of the number stored in the key matrix. Then, Caesar's shift with pre-defined constant value is fabricated to finalize an encryption algorithm. In decode process, Caesar's shift is applied first, and the generated key matrix is used with 2D magic squares to replace the index numbers in ciphertext to restore an original text.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2010.11a
• /
• pp.952-954
• /
• 2010

효율적인 파일 공유를 일차적인 목표로 하였던 P2P 프로토콜 기술은 서서히 멀티미디어 스트리밍으로 옮겨져 가고 있다. Swarming 을 이용한 P2P 스트리밍 시스템에서 비디오를 중심으로 한 채널변경 또는 재생지점 변경으로 인해 지연현상이 발생하게 되는데, P2P 시스템에서 해결해야 하는 당면 과제이다. 지연현상을 해결하기 위한 기존의 연구로는 프리페칭 전략이 있지만, 이들은 모든 사용자들의 시청패턴을 고려하지 않았다. 본 논문에서는 사용자 인터랙션과 같은 social meta-data 를 이용하여 프리페칭을 지원하는 시스템을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.822-823
• /
• 2023

외상후 스트레스 장애(PTSD)는 장기적으로 심각한 기능 장애를 초래하므로 적절한 치료가 필수적이다. 현재 PTSD 치료법 중 효과가 검증된 주류 심리치료는 환자에게 정서적 고통을 유발하여 치료 중도 포기를 야기하고 치료 효과를 감소시키는 주요한 원인이다. 본 연구에서는 생성형 AI를 적용하여 사용자의 맞춤형 트라우마 이미지를 무의식적으로 노출시키는 방식으로 게임에 적용하였다. 개발된 게임은 디지털 치료기기로 사용함으로써 비침습적인 방법으로 치료의 효과를 증대한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.05a
• /
• pp.151-154
• /
• 2021

Big data analysis is the process of discovering meaningful new correlations, patterns, and trends in large volumes of data stored in data stores and creating new value. Thus, most big data analysis technology methods include data mining, machine learning, natural language processing, and pattern recognition used in existing statistical computer science. Also, using the R language, a big data tool, we can express analysis results through various visualization functions using pre-processing text data. The data used in this study was analyzed for 21 papers in the March 2021 among the journals of the Korea Institute of Information and Communication Engineering. In the final analysis results, the most frequently mentioned keyword was "Data", which ranked first 305 times. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

• International journal of advanced smart convergence
• /
• v.2 no.2
• /
• pp.36-39
• /
• 2013

It is becoming more important as the growing of health information and increasing in cancer patients diagnose over the time gradually. Among the various types of cancer, we focuses on breast cancer diagnosis. The accuracy of breast cancer diagnosis is increasing when the diagnosis is based on evidence and statistics. To do this we use the weka data mining tools and analysis algorithms significantly associated with the decision tree uses rules. In addition, the data pre-processing and cross-validation are used to increase the reliability of the results. The number and cause of the disease becomes important to increase evidence-based medical doctors. As the evidence-based medical, the data obtained from patients in the past through the disease by calculating the probability for future patients to diagnose and predict disease and treatment plan. It can be found by improving the survival rate plays an important role.

• Journal of Korean Society of Transportation
• /
• v.14 no.1
• /
• pp.135-154
• /
• 1996

This paper presents a heuristic algorithm for classifying vehicles using a single loop detector. The data used for the development of the algorithm are the frequency variation of a vehicle sensored from the circle-shaped loop detectors which are normal buried beneath the expressway. The pre-processing of data is required for the development of the algorithm that actually consists of two parts. One is both normalization of occupancy time and that with frequency variation, the other is finding of an adaptable number of sample size for each vehicle category and calculation of average value of normalized frequencies along with occupancy time that will be stored for comparison. Then, detected values are compared with those stored data to locate the most fitted pattern. After the normalization process, we developed some frameworks for comparison schemes. The fitted scales used were 10 and 15 frames in occupancy time(X-axis) and 10 and 15 frames in frequency variation (Y-axis). A combination of X-Y 10-15 frame turned out to be the most efficient scale of normalization producing 96 percent correct classification rate for six types of vehicle.

• Journal of Biomedical Engineering Research
• /
• v.12 no.4
• /
• pp.303-308
• /
• 1991

Computer assisted cardiac mapping system has made it possible to display local activation times of the heart using a simultaneous multi-point data aquisition system, and opened an era in electrophyslology guided cardiac arrhythmia surgery especially in ventricular tachycardia. In this study, we have developed a 64 channel computerized cardiacmapping system us:ng a micro-computer for basic reasearch of electrophysiology and electrical propagation in cardiac arrhythmias. The significant tasks of this study were the simultaneous acquisition of large amount of data from 64 sites, accurate and rapid analysis, and the effective display of the analyzed data. To solve these problems, we made a 64 channel signal pre-processing board in order to amplify and fitter the raw signals. And we developed the soflu'are Yor cardiac isochronous mapping whictl is presented immediately ama computer-generated graphics. This system is expected 4o enable us to study pathophyslology of cardiac arrhythmia and to improve the results of diagnosis and surgical treatments for cardiac arrhythmia.