• Title/Summary/Keyword: convergence in measure

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Using Fuzzy Rating Information for Collaborative Filtering-based Recommender Systems

  • Lee, Soojung
    • International journal of advanced smart convergence
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    • v.9 no.3
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    • pp.42-48
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    • 2020
  • These days people are overwhelmed by information on the Internet thus searching for useful information becomes burdensome, often failing to acquire some in a reasonable time. Recommender systems are indispensable to fulfill such user needs through many practical commercial sites. This study proposes a novel similarity measure for user-based collaborative filtering which is a most popular technique for recommender systems. Compared to existing similarity measures, the main advantages of the suggested measure are that it takes all the ratings given by users into account for computing similarity, thus relieving the inherent data sparsity problem and that it reflects the uncertainty or vagueness of user ratings through fuzzy logic. Performance of the proposed measure is examined by conducting extensive experiments. It is found that it demonstrates superiority over previous relevant measures in terms of major quality metrics.

An Adaptive Image Quality Assessment Algorithm

  • Sankar, Ravi;Ivkovic, Goran
    • International journal of advanced smart convergence
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    • v.1 no.1
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    • pp.6-13
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    • 2012
  • An improved algorithm for image quality assessment is presented. First a simple model of human visual system, consisting of a nonlinear function and a 2-D filter, processes the input images. This filter has one user-defined parameter, whose value depends on the reference image. This way the algorithm can adapt to different scenarios. In the next step the average value of locally computed correlation coefficients between the two processed images is found. This criterion is closely related to the way in which human observer assesses image quality. Finally, image quality measure is computed as the average value of locally computed correlation coefficients, adjusted by the average correlation coefficient between the reference and error images. By this approach the proposed measure differentiates between the random and signal dependant distortions, which have different effects on human observer. Performance of the proposed quality measure is illustrated by examples involving images with different types of degradation.

Detection of Skin Pigmentation using Independent Component Analysis

  • Yang, Liu;Lee, Suk-Hwan;Kwon, Seong-Geun;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.16 no.1
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    • pp.1-10
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    • 2013
  • This paper presents an approach for detecting and measuring human skin pigmentation. In the proposed scheme, we extract a skin area by a Gaussian skin color model that is estimated from the statistical analysis of training images and remove tiny noises through the morphology processing. A skin area is decomposed into two components of hemoglobin and melanin by an independent component analysis (ICA) algorithm. Then, we calculate the intensities of hemoglobin and melanin by using the location histogram and determine the existence of skin pigmentation according to the global and local distribution of two intensities. Furthermore, we measure the area and density of the detected skin pigmentation. Experimental results verified that our scheme can both detect the skin pigmentation and measure the quantity of that and also our scheme takes less time because of the location histogram.

Empirical analysis of strategy selection for the technology leading and technology catch-up in the IT industry

  • Byung-Sun Cho;Sang-Sup Cho;Sung-Sik Shin;Gang-hoon Kim
    • ETRI Journal
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    • v.45 no.2
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    • pp.267-276
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    • 2023
  • R&D strategies of companies with low and high technological levels are discussed based on the concept of technology convergence and divergence. However, empirically detecting enterprise technology convergence in the distribution of enterprise technology (total productivity increase) over time and identifying key change factors are challenging. This study used a novel statistical indicator that captures the internal technology distribution change with a single number to clearly measure the technology distribution peak as a change in critical bandwidth for enterprise technology convergence and presented it as evidence of each technology convergence or divergence. Furthermore, this study applied the quantitative technology convergence identification method. Technology convergence appeared from the separation of total corporate productivity distribution of 69 IT companies in Korea in 2019-2020 rather than in 2015-2016. Results indicated that when the total technological level was separated from the technology leading and technology catch-up, IT companies were found to be pursuing R&D strategies for technology catch-up.

Research on Idustrial Convergence Evaluation Model Using KSIC-IPC: Focusing on the automotive sector (KSIC-IPC를 이용한 산업융합 평가모형 연구: 자동차 분야를 중심으로)

  • Lee, Haeng Byoung;Han, Kyu-Bo;Lee, Jung Hoon
    • Journal of the Korea Convergence Society
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    • v.13 no.3
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    • pp.227-237
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    • 2022
  • With the growing interest in convergence, there have been various attempts to measure convergence, but the definition of convergence is ambiguous and consensus on appropriate indicators has not been reached, so measurement of convergence is still at a rudimentary stage. In this study, using the KSIC-IPC linkage table developed by the Korean Intellectual Property Office to analyze the correlation and impact of patents, industry, economy, and population, we propose a new evaluation model that can evaluate industry convergence from patent data. In addition, it was verified whether the industry convergence derived from this properly reflects the corporate convergence characteristics. As a result of classifying the convergence of 39,740 patents owned by global major automobile companies, and evaluating the degree of convergence of each company, it was confirmed that the industry convergence derived using the KSIC-IPC linkage table better reflects the corporate convergence characteristics than the technology convergence classified by IPC co-classification. Therefore, the industry convergence data of automotive sector derived from the new industry convergence evaluation model using the KSIC-IPC linkage table is expected to be widely used for future convergence research.

A Study on the Design of Circuits for DC parameter Inspection (DC parameter 검사회로 설계에 관한 연구)

  • 이상신;전병준;김준식
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.256-261
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    • 2003
  • A memory industry is developing rapidly according to the period of the ubiquitous to approach. According to the development of a memory industry, the efficiency of the manufacture is becoming the serious consideration. DC parameter test system was a development low in this research for an efficiency increase of the manufacture. DC parameter test system increase of the manufacture. In the method to measure the output after permit volt and current at element.

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Development of Portable Colorimeter and Size Analyzer by Using Smartphone (스마트폰을 이용한 휴대용 색차계와 입도계 개발)

  • Yoo, Sanggyu;Park, Hyunmin;Kim, Hyungu;Kim, Sayeom;Song, Simon
    • Journal of the Korean Society of Visualization
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    • v.17 no.3
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    • pp.19-23
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    • 2019
  • The purpose of this research is to develop a facile measurement system for colorimetric analysis for zinc powder and size analyzer for zeolite particles in order to reduce the process time for their characteristic analysis. We present facile smartphone-based analysis methods to measure and estimate the size of zinc power by using colorimeteric method and the size of zeolite particles by using ImageJ program which is an open-source program. The results show a possibility of our methods to replace the previous professional analysis processes with them.

A CLASS OF NONLINEAR STOCHASTIC DIFFERENTIAL EQUATIONS(SDES) WITH JUMPS DERIVED BY PARTICLE REPRESENTATIONS

  • KWON YOUNGMEE;KANG HYE-JEONG
    • Journal of the Korean Mathematical Society
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    • v.42 no.2
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    • pp.269-289
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    • 2005
  • An infinite system of stochastic differential equations (SDE)driven by Brownian motions and compensated Poisson random measures for the locations and weights of a collection of particles is considered. This is an analogue of the work by Kurtz and Xiong where compensated Poisson random measures are replaced by white noise. The particles interact through their weighted measure V, which is shown to be a solution of a stochastic differential equation. Also a limit theorem for system of SDE is proved when the corresponding Poisson random measures in SDE converge to white noise.

BOUNDED CONVERGENCE THEOREMS

  • Niemiec, Piotr
    • Journal of the Korean Mathematical Society
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    • v.54 no.1
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    • pp.319-357
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    • 2017
  • There are presented certain results on extending continuous linear operators defined on spaces of E-valued continuous functions (defined on a compact Hausdorff space X) to linear operators defined on spaces of E-valued measurable functions in a way such that uniformly bounded sequences of functions that converge pointwise in the weak (or norm) topology of E are sent to sequences that converge in the weak, norm or weak* topology of the target space. As an application, a new description of uniform closures of convex subsets of C(X, E) is given. Also new and strong results on integral representations of continuous linear operators defined on C(X, E) are presented. A new classes of vector measures are introduced and various bounded convergence theorems for them are proved.

The Development of Computerized Sport-related Cognitive Test Battery to Measure Sport Intelligence, the Ability to Read the Game (게임을 읽는 머리, 스포츠지능을 측정하기 위한 컴퓨터 기반 스포츠 인지검사 프로그램 개발)

  • Park, Jin-Han;Woo, Min-Jung
    • Journal of the Korea Convergence Society
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    • v.12 no.7
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    • pp.19-29
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    • 2021
  • High-performing athletes possess the ability to read the game, known as the "sports brain". However, a cognitive battery to measure such sports brain has not been developed yet. The purpose of the study, thus, is to develop a computerized cognitive test battery to measure athletes' cognitive function. Based on a systematic review, information processing speed, execution function, and spatial ability were selected as sports-related cognitive functions. Simple and choice response times test, trail-making test, Flanker test, and mental rotation task were developed. After providing manual and practice trials, main tests were executed and all primary variables were statistically processed and automatically saved. The test battery is expected to aid in the discovery and recruitment of athletes in the future after verifying the validity and reliability of this battery.