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퍼지 AHP와 퍼지 연관규칙을 이용하여 고차원 데이터를 처리하는 영화 추천 시스템 (A Movie Recommendation System processing High-Dimensional Data with Fuzzy-AHP and Fuzzy Association Rules)

  • 오재택;이상용
    • 디지털융복합연구
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    • 제17권2호
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    • pp.347-353
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    • 2019
  • 최근 추천 시스템들은 고차원 데이터를 사용할 수 있는 시스템으로 발전하고 있다. 그러나 고차원 데이터는 차원을 확장시켜 알고리즘 복잡도가 증가하여 추천 항목의 정확도를 저하시킬 수 있다. 또한 데이터의 희소성(Sparsity) 문제가 발생할 수 있어 사용자들에게 적합한 추천 항목을 제공하는 것이 어렵다. 본 연구에서는 Fuzzy-AHP를 이용하여 사용자들의 주관적 기준의 데이터를 객관적 기준으로 분류한 후, 퍼지 연관규칙 분석을 이용하여 반복적 패턴을 띄는 규칙들을 활용하는 알고리즘을 제안하였다. 본 연구에서 적용된 알고리즘이 고차원 데이터의 문제점들을 어떻게 완화하는지 확인하기 위해 사용자 수의 변화에 따른 5-fold Cross Validation을 진행하였다. 그 결과 본 알고리즘이 적용된 시스템의 정확도는 Fuzzy-AHP만을 적용한 시스템보다 12.5% 정도 정확도가 우수하였고, 데이터의 희소성 문제도 완화할 수 있다는 것을 확인하였다.

Adaptive Blind Watermarking Algorithm Using Biased-Shift of Quantization Coefficient

  • Seo Young Ho;Cho Hyun Jun;Kim Dong Wook
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 학술대회지
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    • pp.832-835
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    • 2004
  • In this paper, we proposed a blind watermarking algorithm to use characteristics of a scalar quantizer which is similar with the recommended in the JPEG2000 and JPEG. This algorithm shifts a quantization index according to the value of each watermark bit to prevent losing the watermark information during the compression by quantization. Therefore, the watermark is embedded during the process of quantization, not an additional process for watermarking, and adaptively applied as an assigned quantizer according to application area. In the embedding process, a LFSR(Linear feedback shift register) is used to hide the watermarking positions. Therefore the embedded watermark can be extracted by only the owner who knows the initial value of LFSR without the original image. The experimental results showed that the proposed algorithm satisfies the robustness and imperceptibility corresponding to the major requirement of watermarking.

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적응적인 대역폭을 이용한 DMT에서의 비트 할당 알고리듬 (A Bit Allocation Algorithm Using Adaptive Bandwidth for DMT)

  • 최현우;신봉식;정정화
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.372-375
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    • 1999
  • This paper proposes a bit allocation algorithm using adaptive bandwidth for ADSL that uses the DMT technology. In certain cases for high attenuation loops the conventional algorithms are unable to assign data bits to the higher frequency tones, due to the power spectrum mask limitation recommended by ANSI Standard, even if the total power budget is not expended. In the proposed bit allocation algorithm, adjacent empty tones that would not be used merge into single tone, then additional bits is assigned to the merged empty tones. Because additional bits is allocated, most of the available power is used. The proposed algorithm show that total bit increase in about 2~9% bits more than about conventional "water-filling" and "bit removal" algorithms and that is able to use about 93% of the available budget Power

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모선주입전력 조정에 의한 과부하 해소 앨고리즘 (Overload Alleviation Algorithm by the Bus Injection Power Control)

  • 박규홍;정재길;안민옥
    • 대한전기학회논문지
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    • 제39권2호
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    • pp.111-118
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    • 1990
  • This paper presents a new algorithm of contingency analysis and countermeasure to alleviate the line overloads for electric power systems. In this algorithm, the inverse matrix of the new Jacobian matrix when a contingency occurs, in fastly calculated using the house-holder's Inverse Matrix Modification Lamma (IMML) with the original factor table. The generation outputs are firstly adjusted to alleviate all line overloads occurred by the contingency without tripping loads. If the generation adjustment is not enough anymore to alleviate line overloads, then the control of bus injection power is recommended to quickly alleviate remaining overloads with minimum amount of load tripping and generation read-justing at the termination busbars of the overload lines. The proposed algorithm has been validated in tests on the 6 busbar test system.

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유전알고리즘에서 적응적 연산자들의 비교연구 (Comparison of Adaptive Operators in Genetic Algorithms)

  • Yun, Young-Su;Seo, Seoun-Lock
    • 지능정보연구
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    • 제8권2호
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    • pp.189-203
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    • 2002
  • 이 논문에서 우리는 유전알고리즘의 적응적 연산자에 대한 수행도를 비교한다. 이러한 적응적 연산자를 위해서, 유전알고리즘의 교차변이와 돌연변이 연산자가 고려되어 지며, 이 논문에서 개발된 하나의 퍼지로직 제어기와 기존연구에서 사용된 두개의 휴리스틱 기법이 제시되어진다. 이러한 퍼지로직 제어기와 두개의 기존 휴리스틱 기법들은 유전 탐색과정 동안에 그 연산자의 비율들을 적응적으로 조절한다. 이 논문에서 제시된 모든 알고리즘들은 수치예제에서 분석되어 지며, 결론적으로 이들 알고리즘 중에서 최적의 알고리즘이 추천된다.

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영양성분 프로파일링 기반 사료추천 알고리듬 (Nutrient Profiling-based Pet Food Recommendation Algorithm)

  • 송희석
    • Journal of Information Technology Applications and Management
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    • 제25권4호
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    • pp.145-156
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    • 2018
  • This study proposes a content-based recommendation algorithm (NRA) for pet food. The proposed algorithm tries to recommend appropriate or inappropriate feed by using collective intelligence based on user experience and prior knowledge of experts. Based on the physical and health status of the dogs, this study suggests what kind of nutrients are necessary for the dogs and the most recommended pet food containing these nutrients. Performance evaluation was performed in terms of recall, precision, F1 and AUC. As a result of the performance evaluation, the AUC and F1 value of the proposed NRA was 15% and 42% higher than that of the baseline model, respectively. In addition, the performance of NRA is shown higher for recommendation of normal dogs than disease dogs.

Design and Implementation of a Service Platform that Recommends the Optimal Shortest Distance as a Patrol Route

  • Jo, Yu-min;Jang, Ye-jin;Paik, Jong-ho
    • 인터넷정보학회논문지
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    • 제23권1호
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    • pp.1-9
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    • 2022
  • Recently, interest in living safety and crime prevention is increasing. The reality is that most women have anxiety about social safety and ultimately want a safe return to home. As a result of these issues, the Seoul Metropolitan Government and the National Police Agency are implementing various services to alleviate them. However, there are limitations such as that the service can be used only during a limited time or the process of checking whether the patrol is really completed is complicated. Therefore, in this paper, we propose a service platform that overcomes these limitations and suggests the best and shortest patrol route to the police based on the desired patrol location applied by citizens. It is designed based on the MVC pattern, and the functions are divided for each user. It is hoped that the platform will reduce crime rates and allow citizens to ultimately return home with peace of mind. Also we expect that the police will ablet to find places where they did not know about or need to patrol with more attention through the recommended route of the platform, which will be helpful in their task.

양극성 장애의 약물치료 가이드라인 비교 (Comparative Review of Pharmacological Treatment Guidelines for Bipolar Disorder)

  • 진서연;김효영;김예슬;허채원;권보영;최보윤;이보배;이지예;권채은;문영도;;박지현
    • 한국임상약학회지
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    • 제33권3호
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    • pp.153-167
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    • 2023
  • Objective: Bipolar disorder displays a spectrum of manifestations, including manic, hypomanic, depressive, mixed, psychotic, and atypical episodes, contributing to its chronic nature and association with heightened suicide risk. Creating effective pharmacotherapy guidelines is crucial for managing bipolar disorder and reducing its prevalence. Treatment algorithms grounded in science have improved symptom management, but variations in recommended medications arise from research differences, healthcare policies, and cultural nuances globally. Methods: This study compares Korea's bipolar disorder treatment algorithm with guidelines from the UK, Australia, and an international association. The aim is to uncover disparities in key recommended medications and their underlying factors. Differences in CYP450 genotypes affecting drug metabolism contribute to distinct recommended medications. Variances also stem from diverse guideline development approaches-expert consensus versus metaanalysis results-forming the primary differences between Korea and other countries. Results: Discrepancies remain in international guidelines relying on meta-analyses due to timing and utilized studies. Drug approval speeds further impact medication selection. However, limited high-quality research results are the main cause of guideline variations, hampering consistent treatment conclusions. Conclusion: Korea's unique Delphi-based treatment algorithm stands out. To improve evidence-based recommendations, large-scale studies assessing bipolar disorder treatments for the Korean population are necessary. This foundation will ensure future recommendations are rooted in scientific evidence.

사용편의성 모델수립을 위한 제품 설계 변수의 선별방법 : 유전자 알고리즘 접근방법 (A Method for Screening Product Design Variables for Building A Usability Model : Genetic Algorithm Approach)

  • 양희철;한성호
    • 대한인간공학회지
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    • 제20권1호
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    • pp.45-62
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    • 2001
  • This study suggests a genetic algorithm-based partial least squares (GA-based PLS) method to select the design variables for building a usability model. The GA-based PLS uses a genetic algorithm to minimize the root-mean-squared error of a partial least square regression model. A multiple linear regression method is applied to build a usability model that contains the variables seleded by the GA-based PLS. The performance of the usability model turned out to be generally better than that of the previous usability models using other variable selection methods such as expert rating, principal component analysis, cluster analysis, and partial least squares. Furthermore, the model performance was drastically improved by supplementing the category type variables selected by the GA-based PLS in the usability model. It is recommended that the GA-based PLS be applied to the variable selection for developing a usability model.

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ADS-B based Trajectory Prediction and Conflict Detection for Air Traffic Management

  • Baek, Kwang-Yul;Bang, Hyo-Choong
    • International Journal of Aeronautical and Space Sciences
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    • 제13권3호
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    • pp.377-385
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    • 2012
  • The Automatic Dependent Surveillance Broadcast (ADS-B) system is a key component of CNS/ATM recommended by the International Civil Aviation Organization (ICAO) as the next generation air traffic control system. ADS-B broadcasts identification, positional data, and operation information of an aircraft to other aircraft, ground vehicles and ground stations in the nearby region. This paper explores the ADS-B based trajectory prediction and the conflict detection algorithm. The multiple-model based trajectory prediction algorithm leads accurate predicted conflict probability at a future forecast time. We propose an efficient and accurate algorithm to calculate conflict probability based on approximation of the conflict zone by a set of blocks. The performance of proposed algorithms is demonstrated by a numerical simulation of two aircraft encounter scenarios.