• Title/Summary/Keyword: one-way function.

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A Comparative Study on the Preference and Visual Characteristics of Stream Landscape According to Hydromorpological Structures (하천의 물리적 구조에 따른 하천경관의 선호도 및 시각적 이미지 비교 연구)

  • Choi, Yun Eui;Lee, Jung A;Chon, Jinhyung
    • Journal of Wetlands Research
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    • v.15 no.3
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    • pp.301-315
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    • 2013
  • The purpose of this study is to investigate characteristics of hydromorpological structures that affect landscape preference and visual characteristics on the sections of the designated streams where have dynamic ecological characteristics. We evaluated the ecological status of the streams utilizing LAWA to assess hydromorpological structures of streams. We also investigated preference and visual characteristics of stream landscapes through Semantic Differential Scale(SD scale). The differences of visual images according to the characteristics of hydromorpological structures in the sites were analyzed by descriptive statistics, One-way ANOVA, and t-test. As a result, this study showed that sections represented as "good" ecological status are shown to be harmonious, beautiful, natural, and clean comparing to sections represented as "poor" ecological status. The hydromorpological structures that have significant impacts on the visual characteristics are considered as riparian vegetation, cross-sectional shape, and the artificial structures. Results of this study can help guide the stream restoration of the damaged stream to improving ecological function and positive landscape.

Expression analysis and characterization of rice oligopeptide transport gene (OsOPT10) that contributes to salt stress tolerance

  • Jung, Yu-Jin;Lee, In-Hye;Han, Kyung-Hee;Son, Cho-Yee;Cho, Yong-Gu;Lee, Myung-Chul;Kang, Kwon-Kyoo
    • Journal of Plant Biotechnology
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    • v.37 no.4
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    • pp.483-493
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    • 2010
  • Knock-out of a gene by insertional mutagenesis is a direct way to address its function through the mutant phenotype. Among ca. 15,000 gene-trapped Ds insertion lines of rice, we identified one line from selected sensitive lines in highly salt stress. We conducted gene tagging by TAIL-PCR, and DNA gel blot analysis from salt sensitive mutant. A gene encoding an oligopeptide transporter (OPT family) homologue was disrupted by the insertion of a Ds transposon into the OsOPT10 gene that was located shot arm of chromosome 8. The OsOPT10 gene (NP_001062118.) has 6 exons and encodes a protein (752 aa) containing the OPT family domain. RT-PCR analysis showed that the expression of OsOPT10 gene was rapidly and strongly induced by stresses such as high-salinity (250 mM), osmotic, drought, $100\;{\mu}M$ ABA. The subcellular localization assay indicated that OsOPT10 was localized specifically in the plasma membrane. Overexpression of OsOPT10 in Arabidopsis thaliana and rice conferred tolerance of transgenic plants to salt stress. Further we found expression levels of some stress related genes were inhibited in OsOPT10 transgenic plants. These results suggested that OsOPT10 might play crucial but differential roles in plant responses to various abiotic stresses.

An Optimal Cluster Analysis Method with Fuzzy Performance Measures (퍼지 성능 측정자를 결합한 최적 클러스터 분석방법)

  • 이현숙;오경환
    • Journal of the Korean Institute of Intelligent Systems
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    • v.6 no.3
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    • pp.81-88
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    • 1996
  • Cluster analysis is based on partitioning a collection of data points into a number of clusters, where the data points in side a cluster have a certain degree of similarity and it is a fundamental process of data analysis. So, it has been playing an important role in solving many problems in pattern recognition and image processing. For these many clustering algorithms depending on distance criteria have been developed and fuzzy set theory has been introduced to reflect the description of real data, where boundaries might be fuzzy. If fuzzy cluster analysis is tomake a significant contribution to engineering applications, much more attention must be paid to fundamental questions of cluster validity problem which is how well it has identified the structure that is present in the data. Several validity functionals such as partition coefficient, claasification entropy and proportion exponent, have been used for measuring validity mathematically. But the issue of cluster validity involves complex aspects, it is difficult to measure it with one measuring function as the conventional study. In this paper, we propose four performance indices and the way to measure the quality of clustering formed by given learning strategy.

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A Survey on the Awareness of Human Milk Bank in Korean Female Health Care Providers

  • Hahn, Won-Ho;Song, Joon-Hwan;Park, Suyeon;Kang, Nam Mi;Ahn, Sukhee;Song, Seunghyun
    • Perinatology
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    • v.28 no.1
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    • pp.11-19
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    • 2017
  • Objective: Human milk bank is known as best alternative option for sick infants. However, only two human milk banks (HMBs) are working in Korea. In the present study, we evaluated the awareness on the HMB in female health care provider to find out the issues that would help facilitating HMB establishment in Korea. Methods: The survey questionnaire was developed by a team composed with neonatologists, obstetricians, nurses, nutritionists, and health care specialists. The survey was performed for female health care workers in Soon Chun Hyang Cheonan Hospital between March and June in 2016. Eighty-eight of 110 questionnaires were collected and the results were analyzed. Results: Most of subjects were found to have correct knowledge on the breast milk feeding. However, only 49% of subjects had awareness of the presence of HMB. Unfortunately, less than half of them could get information about HMB by official way including mass media. In addition, 76% of subjects were found not to want to use HMB. Most important reason was found as a concern on the safety of donor milk including life style of donors, infection controls, and possible nutritional loss of banked milk. Conclusion: The purpose and function of HMB was not widely educated and it seems to be one of most important reasons why women have negative concept about HMB in Korea. Thus, further study is warranted with more numbers of subjects after active public education about the HMB.

Rigorous Modeling of the First Generation of the Reconnaissance Satellite Imagery

  • Shin, Sung-Woong;Schenk, Tony
    • Korean Journal of Remote Sensing
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    • v.24 no.3
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    • pp.223-233
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    • 2008
  • In the mid 90's, the U.S. government released images acquired by the first generation of photo reconnaissance satellite missions between 1960 and 1972. The Declassified Intelligent Satellite Photographs (DISP) from the Corona mission are of high quality with an astounding ground resolution of about 2 m. The KH-4A panoramic camera system employed a scan angle of $70^{\circ}$ that produces film strips with a dimension of $55\;mm\;{\times}\;757\;mm$. Since GPS/INS did not exist at the time of data acquisition, the exterior orientation must be established in the traditional way by using control information and the interior orientation of the camera. Detailed information about the camera is not available, however. For reconstructing points in object space from DISP imagery to an accuracy that is comparable to high resolution (a few meters), a precise camera model is essential. This paper is concerned with the derivation of a rigorous mathematical model for the KH-4A/B panoramic camera. The proposed model is compared with generic sensor models, such as affine transformation and rational functions. The paper concludes with experimental results concerning the precision of reconstructed points in object space. The rigorous mathematical panoramic camera model for the KH-4A camera system is based on extended collinearity equations assuming that the satellite trajectory during one scan is smooth and the attitude remains unchanged. As a result, the collinearity equations express the perspective center as a function of the scan time. With the known satellite velocity this will translate into a shift along-track. Therefore, the exterior orientation contains seven parameters to be estimated. The reconstruction of object points can now be performed with the exterior orientation parameters, either by intersecting bundle rays with a known surface or by using the stereoscopic KH-4A arrangement with fore and aft cameras mounted an angle of $30^{\circ}$.

A Survey of Genetic Programming and Its Applications

  • Ahvanooey, Milad Taleby;Li, Qianmu;Wu, Ming;Wang, Shuo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.4
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    • pp.1765-1794
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    • 2019
  • Genetic Programming (GP) is an intelligence technique whereby computer programs are encoded as a set of genes which are evolved utilizing a Genetic Algorithm (GA). In other words, the GP employs novel optimization techniques to modify computer programs; imitating the way humans develop programs by progressively re-writing them for solving problems automatically. Trial programs are frequently altered in the search for obtaining superior solutions due to the base is GA. These are evolutionary search techniques inspired by biological evolution such as mutation, reproduction, natural selection, recombination, and survival of the fittest. The power of GAs is being represented by an advancing range of applications; vector processing, quantum computing, VLSI circuit layout, and so on. But one of the most significant uses of GAs is the automatic generation of programs. Technically, the GP solves problems automatically without having to tell the computer specifically how to process it. To meet this requirement, the GP utilizes GAs to a "population" of trial programs, traditionally encoded in memory as tree-structures. Trial programs are estimated using a "fitness function" and the suited solutions picked for re-evaluation and modification such that this sequence is replicated until a "correct" program is generated. GP has represented its power by modifying a simple program for categorizing news stories, executing optical character recognition, medical signal filters, and for target identification, etc. This paper reviews existing literature regarding the GPs and their applications in different scientific fields and aims to provide an easy understanding of various types of GPs for beginners.

The Dialectic of Immersion and Fire in Traditional Puppetry : Focusing on Brecht's Theory of Effectiveness (전통인형극 <꼭두각시놀음>에 나타난 몰입과 소격의 변증법 -브레히트의 소격효과이론을 중심으로-)

  • Choi, Bae-Suk
    • The Journal of the Korea Contents Association
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    • v.19 no.3
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    • pp.197-212
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    • 2019
  • This study points out how the two conflicting elements of empathy and estrangement that constitute the dual structure of are incorporated by dialectic; finally, this paper explores the spontaneous estrangement effects' meaning and value on the point of view of reception aesthetics. As results of these studies, First, the Brechtian set of estrangement effects techniques showed that in it could function as an empathy technique for audiences. Second, the role of Sanbazi to increase the audience's participation was to produce both the immersion effect and the estrangement effect simultaneously. These double features of Sanbazi are dialectically incorporated and simultaneously bring about both the social reality reflection and enjoyment of the audience. Third, the puppetry is valid as not a way to describe reality but one of the ways to look at social reality. Conclusionally, in terms of producing counter-discourse, the puppet show has more extensible than any other form of performance with regard to expression.

Bone Microarchitecture at the Femoral Attachment of the Posterior Cruciate Ligament (PCL) by Texture Analysis of Magnetic Resonance Imaging (MRI) in Patients with PCL Injury: an Indirect Reflection of Ligament Integrity

  • Kim, Hwan;Shin, YiRang;Kim, Sung-Hwan;Lee, Young Han
    • Investigative Magnetic Resonance Imaging
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    • v.25 no.2
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    • pp.93-100
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    • 2021
  • Purpose: (1) To evaluate the trabecular pattern at the femoral attachment of the posterior cruciate ligament (PCL) in patients with a PCL injury; (2) to analyze bone microarchitecture by applying gray level co-occurrence matrix (GLCM)-based texture analysis; and (3) to determine if there is a significant relationship between bone microarchitecture and posterior instability. Materials and Methods: The study included 96 patients with PCL tears. Trabecular patterns were evaluated on T2-weighted MRI qualitatively, and were evaluated by GLCM texture analysis quantitatively. The grades of posterior drawer test (PDT) and the degrees of posterior displacement on stress radiographs were recorded. The 96 patients were classified into two groups: acute and chronic injury. And 27 patients with no PCL injury were enrolled for control. Pearson's correlation coefficient and one-way ANOVA with Bonferroni test were conducted for statistical analyses. This protocol was approved by the Institutional Review Board. Results: A thick and anisotropic trabecular bone pattern was apparent in normal or acute injury (n = 57/61;93.4%), but was not prominent in chronic injury and posterior instability (n = 31/35;88.6%). Grades of PDT and degrees of posterior displacement on stress radiograph were not correlated with texture parameters. However, the texture analysis parameters of chronic injury were significantly different from those of acute injury and control groups (P < 0.05). Conclusion: The trabecular pattern and texture analysis parameters are useful in predicting posterior instability in patients with PCL injury. Evaluation of the bone microarchitecture resulting from altered biomechanics could advance the understanding of PCL function and improve the detection of PCL injury.

Malware Detection Via Hybrid Analysis for API Calls (API call의 단계별 복합분석을 통한 악성코드 탐지)

  • Kang, Tae-Woo;Cho, Jae-Ik;Chung, Man-Hyun;Moon, Jong-Sub
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.17 no.6
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    • pp.89-98
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    • 2007
  • We have come a long way in the information age. Thanks to the advancement of such technologies as the internet, we have discovered new ways to convey information on a broader scope. However, negative aspects exist as is with anything else. These may include invasion of privacy over the web, or identity theft over the internet. What is more alarming is that malwares so called 'maliciouscodes' are rapidly spreading. Its intent is very destructive which can result in hacking, phishing and as aforementioned, one of the most disturbing problems on the net, invasion of privacy. This thesis describes the technology of how you can effectively analyze and detect these kind of malicious codes. We propose sequencial hybrid analysis for API calls that are hooked inside user-mode and kernel-level of Windows. This research explains how we can cope with malicious code more efficiently by abstracting malicious function signature and hiding attribute.

Drug-Drug Interaction Prediction Using Krill Herd Algorithm Based on Deep Learning Method

  • Al-Marghilani, Abdulsamad
    • International Journal of Computer Science & Network Security
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    • v.21 no.6
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    • pp.319-328
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    • 2021
  • Parallel administration of numerous drugs increases Drug-Drug Interaction (DDI) because one drug might affect the activity of other drugs. DDI causes negative or positive impacts on therapeutic output. So there is a need to discover DDI to enhance the safety of consuming drugs. Though there are several DDI system exist to predict an interaction but nowadays it becomes impossible to maintain with a large number of biomedical texts which is getting increased rapidly. Mostly the existing DDI system address classification issues, and especially rely on handcrafted features, and some features which are based on particular domain tools. The objective of this paper to predict DDI in a way to avoid adverse effects caused by the consumed drugs, to predict similarities among the drug, Drug pair similarity calculation is performed. The best optimal weight is obtained with the support of KHA. LSTM function with weight obtained from KHA and makes bets prediction of DDI. Our methodology depends on (LSTM-KHA) for the detection of DDI. Similarities among the drugs are measured with the help of drug pair similarity calculation. KHA is used to find the best optimal weight which is used by LSTM to predict DDI. The experimental result was conducted on three kinds of dataset DS1 (CYP), DS2 (NCYP), and DS3 taken from the DrugBank database. To evaluate the performance of proposed work in terms of performance metrics like accuracy, recall, precision, F-measures, AUPR, AUC, and AUROC. Experimental results express that the proposed method outperforms other existing methods for predicting DDI. LSTMKHA produces reasonable performance metrics when compared to the existing DDI prediction model.