• Nuclear Engineering and Technology
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• v.55 no.12
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• pp.4591-4596
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• 2023

Single-photon emission computed tomography SPECT image reconstruction methods have a significant influence on image quality, with filtered back projection (FBP) and ordered subset expectation maximization (OSEM) being the most commonly used methods. In this study, we proposed newly-designed adaptive non-blind deconvolution with a structural similarity (SSIM) index that can take advantage of the FBP and OSEM image reconstruction methods. After acquiring brain SPECT images, the proposed image was obtained using an algorithm that applied the SSIM metric, defined by predicting the distribution and amount of blurring. As a result of the contrast to noise ratio (CNR) and coefficient of variation evaluation (COV), the resulting image of the proposed algorithm showed a similar trend in spatial resolution to that of FBP, while obtaining values similar to those of OSEM. In addition, we confirmed that the CNR and COV values of the proposed algorithm improved by approximately 1.69 and 1.59 times, respectively, compared with those of the algorithm involving an inappropriate deblurring process. To summarize, we proposed a new type of algorithm that combines the advantages of SPECT image reconstruction techniques and is expected to be applicable in various fields.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.719-724
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• 1998

This paper presents a systematic developement of a formal approach to inference in approximate reasoning. We introduce some measures of similarity and discuss their properties. Using the concept of similarity index we formulate two methods for inferring from vague knowledge. In order to illustrate the effectiveness of the proposed technique we use it to develop a vowel recognition system.

• Journal of Forest and Environmental Science
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• v.18 no.1
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• pp.73-86
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• 2001

Taking account of the structural variation on species composition according to the different topographic positions and aspects, the forest community attributes such as species composition, species diversity index, and similarity coefficient were comparatively analyzed for the three topographic positions and the four aspects in the natural deciduous forest of Mt. Gari area. The results are as follows 1. The most dominant species in the overstory were Quercus mongolica in the mid-slope, the ridge, and all aspects areas, however, the stands of the topographic positions were less similar than the stands of the aspects in species composition, because of the appearance of the specific domonant species such as Juglans mandshurica in the valley area and Pinus densiflora in the ridge area. 2. Among the three topographic positions, the mid-slope area had greatest species diversity index in overstory, but the index of the valley had greater value than those of mid-slope and ridge in mid-story and understory. The north-east area among the aspects had greatest the index in all canopy layers. However, The stands of the aspects showed more smaller variation than the stands of the topographic positions. 3. The ridge area showed greatest similarity coefficient value with the mid-slope area, but showed least similarity coefficient value with the valley. However, similarity coefficient among the topographic positions had much smaller value than similarity coefficient among the aspects.

• Korean Journal of Environment and Ecology
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• v.31 no.1
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• pp.93-103
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• 2017

The purpose of this study is to assess the recovery rate of vegetation structure after restoration works at the damaged Nogodan area in Jirisan National Park. Fourteen monitoring plots were set up at restoring work area and twelve control plots were set up at natural forest near monitoring plots. Flora, Relative Importance Percentage and Similarity Index were analyzed. Mean Similarity Index between monitering plot and control plot near helliport area showed thirty five point two percent and height of shrub layer recovered up to twenty percent, approxomately durindg twenty three years after experimental restoration works. Mean Similarity Index between monitering plot and control plot around Nogodan peak area showed seventeen point six percent but height of shrub layer recovered up to twenty percent, approxomately during ninteen years after restoration works. Mean similarity index between monitering plot and control plot on transfered millitary area showed thirty four point three percent but coverage of shrub layer showed twenty percent,approxomately during seven years after restoration works. Long term monitering shall be necessary for developing assessment criteria of ecologial restoration and ecological restoration technology.

• Journal of the Korea Society of Computer and Information
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• v.24 no.3
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• pp.105-112
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• 2019

In this paper, we propose a technique to analyze similarity between SQL queries and to assist integrating similar tables. First, the table information was extracted from the SQL queries through the query structure analyzer, and the similarity between the tables was measured using the Jacquard index technique. Then, similar table clusters are generated through hierarchical cluster analysis method and the co-occurence probability of the table used in the query is calculated. The possibility of integrating similar tables is classified by using the possibility of co-occurence of similarity table and table, and classifying them into an integrable cluster, a cluster requiring expert review, and a cluster with low integration possibility. This technique analyzes the SQL query in practice and analyse the possibility of table integration independent of the existing business, so that the existing schema can be effectively reconstructed without interruption of work or additional cost.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.219-226
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• 2018

Collaborative filtering has been most popular approach to recommend items in online recommender systems. However, collaborative filtering is known to suffer from data sparsity problem. As a simple way to overcome this problem in literature, Jaccard index has been adopted to combine with the existing similarity measures. We analyze performance of such combination in various data environments. We also find optimal weights of factors in the combination using a genetic algorithm to formulate a similarity measure. Furthermore, optimal weights are searched for each user independently, in order to reflect each user's different rating behavior. Performance of the resulting personalized similarity measure is examined using two datasets with different data characteristics. It presents overall superiority to previous measures in terms of recommendation and prediction qualities regardless of the characteristics of the data environment.

• Journal of Environmental Science International
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• v.12 no.2
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• pp.179-184
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• 2003

Total 7 moors, Yong-neup on Mt. Daeam, Chilbo Mt. moor, Dogapsa-neup on Mt. Wolchul, Wangdeungiae-neup on Mt. Jiri, Mujechi-neup on Mt. Jungjok, Buljae-neup on Mt. Kyungak and Geoinri-neup on Dongsang, were investigated by literatures and survey. Distribution, conditions, and similarity of dominant species and Orchidaceae on moor were analyzed. The results are follows; There are total 46 wetland plant species observed more than twice from 7 moors. The plants classified as constancy class V, which are appeared more than 80%, are Iris ensata var. spontane, Juncus effusus var. decipiens, Sanguisorba tenuifolia var. alba, Habenaria linearifolia, Sium ninsi, Lobelia sessilifolia, Lastrea theiyptoris, and Eupatorium chinensis var. simplicifolium. Highly appearing Orchidaceae, which was classified to constancy class IV plant, are Habenaria linearifolia, Pogonia japonica, Eipactis thunbergii, and Platanthera mandarinorum. They are the typical index plants of the moors. Habitual environment of Habenaria radiate and Platanthera hologlottis can be affected by environmental aspects such as latitude, altitude and the water quality. However those of Habenaria linearifolia, Epipactis thunbergii, and Pogonia japonica are not affected by latitude and altitude, but may be determined by water condition of wetland. As the result of similarity index analysis for appearance of Orchidaceae identifying each moors in the view of species composition, swamps at Dogapsa-neup and Buljae-neup are very similar. However Yong-neup is totally different from those of Dogapsa-neup and Buljae-neup. Yong-neup had shown the high similarity indices of 0.85 and 0.75 with Wangdeungiae-neup and Mujechi-neup, respectively. Growth properties of wild Orchidaceae at wetland were almost similar. Platanthera mandarinorum and Liparis kumokiri had characteristics of good adaptability. Most of them need light. Pogonia was the only long-day plant. The flowering time of these Orchidaceae was from May to September.

• The Korean Journal of Applied Statistics
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• v.26 no.1
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• pp.81-92
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• 2013

It is important to construct a firm basis for accusing potential violators of academic integrity in order to avoid spurious accusations and false convictions. Educational researchers have developed many statistical methods that can either uncover or confirm cases of cheating on tests. However, most of them rely on simple correlation-based measures, and often fail to account for patterns in responses or answers. In this paper, we propose a new statistical index denoted by a Standardized Signed Entropy Similarity Score to resolve this difficulty. In addition, we apply the proposed method to analyze a real data set and compare the results to other existing methods.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.15 no.5
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• pp.129-144
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• 2012

This study was conducted to understand the community characteristics of benthic macroinvertebrates according to Growth Environment at 6 Palustrine Wetlands in a rural area. As growth environment factors, size, water depth, water inlet and water outlet, land-use and water environment was analyzed. Two years' quantitative collection of benthic macroinvertebrate was carried out, and it executed community analysis and ESB index calculation and also carried out twinspan, MDS and correlation analysis. As a result, the collected benthic macroinvertebrate was 1254 individuals with 3 Phylums, 6 Classes, 14 Orders, 35 Families, 52 Genera and 61 Species. Odonata and Coenagreionidae had the highest species and individuals. Dominance Index was 0.252~0.698, Diversity Index was 1.661~2.902, Evenness Index was 0.414~0.724, and Species Richness Index was 1.990~6.224. As a result of community analysis, when correlation analysis was executed, Dominance Index had the opposite tendency with Diversity Index and Evenness Index, which had the same tendency with the previous studies. When ESB Index was calculated, Grade 2 (polluted) had the highest species with 48 species (78.7%). It is determined from the Environmental quality evaluation and saprobity evaluation result according to ESB index that there is a need to revise environmental evaluation system more specifically. As a result of MDS analysis, the subject spots A and D had the highest similarity, and the subject spot E and D had a relatively high similarity. The life environment that is the closest related with species diversity is estimated by the land-use. As for number of Individual, it seems to have the closest relation with inlet, which is to be determined as a characteristics of Palustrine Wetland. Through such investigation, this study is expected to be utilized for various types of habitats including ecological pond and to be utilized for the increase of species diversity in rural areas.

• The KIPS Transactions:PartD
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• v.8D no.4
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• pp.305-312
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• 2001

Recently, high-dimensional index structures have been required for similarity search in such database applications s multimedia database and data warehousing. In this paper, we propose a new cell-based signature tree, called CS-tree, which supports efficient storage and retrieval on high-dimensional feature vectors. The proposed CS-tree partitions a high-dimensional feature space into a group of cells and represents a feature vector as its corresponding cell signature. By using cell signatures rather than real feature vectors, it is possible to reduce the height of our CS-tree, leading to efficient retrieval performance. In addition, we present a similarity search algorithm for efficiently pruning the search space based on cells. Finally, we compare the performance of our CS-tree with that of the X-tree being considered as an efficient high-dimensional index structure, in terms of insertion time, retrieval time for a k-nearest neighbor query, and storage overhead. It is shown from experimental results that our CS-tree is better on retrieval performance than the X-tree.