• Journal of the Korean Institute of Intelligent Systems
• /
• v.11 no.3
• /
• pp.270-274
• /
• 2001

Conventional similarity measures suggested so far can be classified into three categories: (i) geometric similarity measures, (ij) set-theoretic similarity measures, and (iii) matching function-based similarity measures. On the basis of the characteristics of the conventional similarity measures, in this paper, we propose a new similarity measure of fuzzy sets and investigate its properLies. Finally, numelical examples are provided for the comparison of characteristics of the proposed similarity measure and other previous similarity measures.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.10 no.3
• /
• pp.218-223
• /
• 2010

Discussion and analysis about relative mutual information has been carried out through fuzzy entropy and similarity measure. Fuzzy relative mutual information measure (FRIM) plays an important part as a measure of information shared between two fuzzy pattern vectors. This FRIM is analyzed and explained through similarity measure between two fuzzy sets. Furthermore, comparison between two measures is also carried out.

• Korean Journal of Computational Design and Engineering
• /
• v.21 no.1
• /
• pp.78-89
• /
• 2016

When a plant owner requests plant 3D CAD models in the format that a shipbuilding company does not use, the shipyard manually re-models plant 3D CAD models according to the owner's requirement. Therefore, it is important to develop a technology to compare the re-modeled plant 3D CAD models with original ones and to quantitatively evaluate similarity between two models. In the previous study, we developed a graphic user interface (GUI)-based comparison system where a user evaluates similarity between original and re-modeled plant 3D CAD models for piping design at the level of unit. However, an offshore plant consists of thousands of units and thus a system which compares several plant 3D CAD models at unit-level without human intervention is necessary. For this, we developed a new batch model comparison system which automatically evaluates similarity of several unit-level plant 3D CAD models using an extensible markup language (XML) file storing file location and name data about a set of plant 3D CAD models. This paper suggests system configuration of a batch-mode-based comparison system and discusses its core functions. For the verification of the developed system, comparison experiments for offshore plant 3D piping CAD models using the system were performed. From the experiments, we confirmed that similarities for several plant 3D CAD models at unit-level were evaluated without human intervention.

• The KIPS Transactions:PartA
• /
• v.10A no.4
• /
• pp.357-368
• /
• 2003

Evaluation of shape similarity for 3D models is essential in many areas - medicine, mechanical engineering, molecular biology, etc. Moreover, as 3D models are commonly used on the Web, many researches have been made on the classification and retrieval of 3D models. In this paper, we describe methods for 3D shape representation and major concepts of similarity evaluation, and analyze the key features of recent researches for shape comparison after classifying them into four categories including multi-resolution, topology, 2D image, and statistics based methods. In addition, we evaluated the performance of the reviewed methods by the selected criteria such as uniqueness, robustness, invariance, multi-resolution, efficiency, and comparison scope. Multi-resolution based methods have resulted in decreased computation time for comparison and increased preprocessing time. The methods using geometric and topological information were able to compare more various types of models and were robust to partial shape comparison. 2D image based methods incurred overheads in time and space complexity. Statistics based methods allowed for shape comparison without pose-normalization and showed robustness against affine transformations and noise.

• Journal of the Korea Computer Industry Society
• /
• v.2 no.8
• /
• pp.1123-1132
• /
• 2001

We show that image make converts of multiplex resolution using wavelet transform algorithm. To evaluate the robustness, we have measured comparison of similarity using various sequences which is inserted important coefficient of middle frequency band. The wavelet transform is advantage that it has a special quality of frequency domain and a special quality of spatial domain. As result of experiments, it is to certify that The chaos sequence similarity is higher than other sequence. So the chaos sequence will be used for watermark sequence.

• Journal of the Korea Society of Computer and Information
• /
• v.6 no.4
• /
• pp.21-29
• /
• 2001

We show that image make converts of multiplex resolution using wavelet transform algorithm. To evaluate the robustness. we have measured comparison or similarity using various sequences which is inserted important coefficient of middle frequency band. The wavelet transform is advantage that it has a special quality of frequency domain and a special quality of spatial domain. Watermark is used pseudo random number, gaussian sequence, chaos sequence and sobel sequence. As result of experiments, it is to certify that The chaos sequence similarity is higher than other sequence. So the chaos sequence will be used for watermark sequence.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.05a
• /
• pp.366-369
• /
• 2022

The glut of information aggravated the process of data analysis and other procedures including data mining. Many algorithms were devised in Big Data and Data Mining to solve such an intricate problem. In this paper, we conducted research about the comparison of several similarity measures and community detection algorithms in collaborative filtering for movie recommendation systems. Movielense data set was used to do an empirical experiment. We applied three different similarity measures: Cosine, Euclidean, and Pearson. Moreover, betweenness and eigenvector centrality were used to detect communities from the network. As a result, we elucidated which algorithm is more suitable than its counterpart in terms of recommendation accuracy.

• Journal of The Korean Association For Science Education
• /
• v.21 no.1
• /
• pp.114-121
• /
• 2001

This study investigated the effect of presenting modes of multiple analogies on middle school students' understanding of science concepts. A total of 122 7th-graders was randomly assigned to one of 4 groups. After reading one of 4 analogy-learning materials in different analogy presenting modes (the number of analogs, the number of mappings between analog and target, and the comparison of similarity between analogs). the students took a conception test. The results indicated that using analogs and mappings twice were not significant factors in recalling and applying science concepts. However, the comparison of similarity between analogs was found to be a significant factor in applying science concepts. Educational implications are discussed.

• Journal of Haehwa Medicine
• /
• v.24 no.2
• /
• pp.17-24
• /
• 2016

Objectives : This study was aimed to widen range of comprehesion about meridian muscle system through myological study of meridian muscle system and comparison with deep front arm line in anatomical train Methods : We have studied the similarity and difference between Hand Great Yin Lung Meridian Muscle System and Deep Front Line in Anatomical Train through Principles of Meridians & Acupoints, publications about myology, Anatomical trains. Results : I. Like another advanced studies, muscular system of hand great yin showed similarity to deep front line in anatomical train. II. It is considered that muscular system of hand great yin contains Musculus abductor pollicis brevis, Musculus extensor hallucis longus, Musculus brachioradialis, Musculus biceps brachii, Musculus subclavius, Musculus pectoralis major. III. Comparing muscular system of hand great yin to deep front arm line in anatomical train it showed similarity to part of muscles and pathological symptoms. But it showed difference to part of muscles and pathological symptoms. Conclusions : Hand Great Yin Lung meridian muscle system showed similarity and difference to deep front arm line in anatomical train. Further studies would be needed.

• Journal of the Semiconductor & Display Technology
• /
• v.20 no.3
• /
• pp.113-116
• /
• 2021

As artificial intelligence technologies, including deep learning, develop, these technologies are being introduced to code similarity analysis. In the traditional analysis method of calculating the graph edit distance (GED) after converting the source code into a control flow graph (CFG), there are studies that calculate the GED through a trained graph neural network (GNN) with the converted CFG, Methods for analyzing code similarity through CNN by imaging CFG are also being studied. In this paper, to determine which approach will be effective and efficient in researching code similarity analysis methods using artificial intelligence in the future, code similarity is measured through funcGNN, which measures code similarity using GNN, and Siamese Network, which is an image similarity analysis model. The accuracy was compared and analyzed. As a result of the analysis, the error rate (0.0458) of the Siamese network was bigger than that of the funcGNN (0.0362).