• Archives of design research
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• v.16 no.2
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• pp.77-86
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• 2003

In web environment, we accept most of useful information visually. Icon is a channel through which we explore information, and we need icon design to deliver information clearly and quickly to users who accept information visually. Studies on icon have been carried out vigorously according to system environment, styles and characteristics of users. This study is on the metaphor icon, and judging from the characteristics of metaphor icon, it is by the phenomena of user's association of ideas. Divide metaphor and simile and analyzed metaphor icon that is searched in World Wide Web to distinguish similarity in metaphor icon special qualify, And I clarified the present condition of cognition by questionnaires asking people if they recognize the function. I also clarified if elements of icon design influence the level of user's cognition by visually comparing icons. The result of comparative analysis showed that different elements make different level of user's cognition, and to objectify it more, I made up questionnaires about elements of icon design and proved it again. To summarize the result of this study, the similarity between function and elements of design increases the level of recognition of metaphor icon proportionally. To improve user's cognition, I suggest designing with elements which materialize functions.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.4 s.34
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• pp.33-38
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• 2005

The goal of this study is to segment building points effectively utilizing scan-line characteristics of airborne laser scanner. Points are classified as to their altitude similarity and adjacency with other classified points, and point searching range for the classification is restricted within some number of scan-lines, preventing classification speed from lowering as the process goes on. Besides, we detected wrong discrimination of one object into more than two classes, then integrated them into a single class. Consequently we could discriminate points of each building from others, its annexes and none building points simultaneously.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.339-344
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• 2019

Global sequence alignment in search of similarity or homology favors larger size of the sequence because it keeps looking for more similar section between two sequences in the hope that it adds up scores for matched part in the rest of the sequence. If a substantial size of mismatched section exists in the middle of the sequence, it greatly reduces the total alignment score. In this case a whole sequence would be better to be divided into multiple sections. Overall alignment score over the multiple sections of the sequence would increase as compared to global alignment. This method is called multiple local alignment. In this paper, we implement a multiple local alignment algorithm, an extension of Smith-Waterman algorithm and show the experimental results for the algorithm that is able to search for sub-optimal sequence.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.11a
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• pp.317-324
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• 2000

주기적인 연관규칙은 타겟데이터베이스를 일정 단위시간으로 나누었을 때 연관규칙이 만족하는 구간이 일정한 주기마다 발생하는 패턴을 탐색하는 방법이다. 하지만, 이 방법은 엄격한 주기를 가지도록 하여 실제 데이터에 그대로 적용하기가 어려웠다. 예를 들이 편의점 데이터에서 매일 오전 7시-8시 사이에 주기적으로 발생하는 연관규칙을 발견할 때, 이러한 연관규칙을 주기적인 연관규칙이라고 한다. 하지만, 실제 데이터에서는 날씨와 같이 사람의 행동에 영향을 미치는 다른 요인 때문에 항상 일정한 주기를 가지는 연관규칙을 찾기는 어렵다. 본 논문에서는 주기가 일정하지 않은 연관규칙을 찾기 위해서 연관규칙의 주기성을 허용 오차를 포함하며 재정의하고, 오차를 허용하기 위한 탐색 알고리즘을 보완하였다. 반면에, 오차를 허용함으로써 오차를 허용하지 않는 경우보다 더 많은 주기성을 찾을 수 있을 뿐만 아니라, 동일한 주기를 가지지만 오프셋이 다른 여러 개의 비슷한 주기가지 찾게 되어 사용자가 의미 있는 연관규칙을 찾는데 방해가 된다. 본 논문에서는 이를 해결하기 위해서 오차를 허용하는 주기적 연관규칙의 오차의 정도를 측정하기 위한 단위로 집중도(intensity)와 경향성(tendency)을 제안한다. 주기적 연관규칙이 매 주기마다 정확한 세그먼트에 나타나는 정도를 나타내는 집중도와, 최소 평균오차를 의미하는 경향성을 이용하여 유사한 주기들 중에서 대표주기만을 찾을 수 있도록 한다. 또한, 오차를 허용하는 주기적 연관규칙에서 오차가 주로 발생하는 패턴을 분석함으로써 고객들의 수요 경향성을 더 잘 파악할 수 있다. 예를 들어, 평소에는 매일 오진 7시∼8시에 나타나던 연관성이 지각하는 사람들이 같은 월요일에는 1시간 늦은 8시∼9시에 나타난다는 오타 정보까지 파악할 수 있다. 이러한 월요일마다 1시간 늦게 나타나는 오차의 경향성을 나타내는 오차 주기(error cyc1e)를 이용함으로써 고객들의 수요의 경향성을 좀 더 세밀한 부분까지 파악할 수 있게 해 준다.

• The KIPS Transactions:PartD
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• v.11D no.2
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• pp.247-258
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• 2004

Recently, there have been researches on storage and retrieval technique of moving objects, which are highly concerned by user in database application area such as video databases, spatio-temporal databases, and mobile databases. In this paper, we propose a new signature-based indexing scheme which supports similar sub-trajectory retrieval at well as good retrieval performance on moving objects trajectories. Our signature-based indexing scheme is classified into concatenated signature-based indexing scheme for similar sub-trajectory retrieval, entitled CISR scheme and superimposed signature-based indexing scheme for similar sub-trajectory retrieval, entitled SISR scheme according to generation method of trajectory signature based on trajectory data of moving object. Our indexing scheme can improve retrieval performance by reducing a large number of disk access on data file because it first scans all signatures and does filtering before accessing the data file. In addition, we can encourage retrieval efficiency by appling k-warping algorithm to measure the similarity between query trajectory and data trajectory. Final]y, we evaluate the performance on sequential scan method(SeqScan), CISR scheme, and SISR scheme in terms of data insertion time, retrieval time, and storage overhead. We show from our experimental results that both CISR scheme and SISR scheme are better than sequential scan in terms of retrieval performance and SISR scheme is especially superior to the CISR scheme.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.117-124
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• 2014

Cluttered background is a major obstacle in developing salient object detection and tracking system for mobile device captured natural scene video frames. In this paper we propose a context aware feature vector selection model to provide an efficient noise filtering by machine learning based classifiers. Since the context awareness for feature selection is achieved by searching nearest neighborhoods, known as NP hard problem, we apply a fast approximation method with complexity analysis in details. Separability enhancement in feature vector space by adding the context aware feature subsets is studied rigorously using principal component analysis (PCA). Overall performance enhancement is quantified by the statistical measures in terms of the various machine learning models including MLP, SVM, Naïve Bayesian, CART. Summary of computational costs and performance enhancement is also presented.

• Journal of the Korean Applied Science and Technology
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• v.36 no.3
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• pp.709-725
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• 2019

This study aimed to determine the effects of simulation-based practice education on nursing students' employability, career exploration behavior and decision-making self-efficacy. A non-equivalent control group pre-posttest of quasi-experimental design was used. A total of 120 nursing students located in J provinces, 60 students for the experimental group and 60 students for the control group. Study participants were a third-year student at college of nursing student. The experimental group participated in the study for 6 weeks. The results showed that the simulation-based practice education significantly improved employability(t=-2.31, p=.023) and career exploration behavior(t=-3.05, p=.003) of nursing students. However, there was no significant difference in the decision-making self-efficacy(t=-.87, p=.387). In conclusion, simulation-based practice education should be strengthened because it is useful for education of nursing students.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.29 no.6
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• pp.539-545
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• 2016

UPS system in the liquefied natural gas(LNG) receiving terminal is one of the fundamental equipment that need to sustain operation during earthquake. In this study, modal identification test of UPS system was performed based on IEEE Std. 693-2005 and natural frequencies and modal damping, mode shapes had been identified. In addition, tri-axial time history test was performed to check the behavior and stress of the equipment during earthquake. Eigenvalue analysis was performed and analysis model was modified by reflecting the results of the test. Static analysis by dead weight and response spectrum analysis were performed to compare the combined stresses with the stress results of test. Dynamic characteristics and combined stresses under seismic load condition of the improved analysis model were similar to the test results and in this regard the compatibility was proved.

• Korean Journal of Breeding Science
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• v.42 no.4
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• pp.390-396
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• 2010

A weedy rice, Ganghwaaengmi 11, shows high level of leaf blast resistance. The chromosomal number and locations of genes conferring the leaf blast resistance were detected by QTL (quantitative trait loci) analysis using SSR markers in the 120 RILs (recombinant inbred lines) derived from the cross between Nagdongbyeo and Ganghwaaengmi 11. Ganghwaaengmi 11 expressed compatibility with 20 of the 45 inoculated blast isolates, in contrast to Nagdongbyeo with 44 compatible isolates. To identify QTLs affecting partial resistance, RILs were assessed in upland blast nursery in three regions and inoculated with selected nine blast isolates. QTLs for resistance to blast isolates were identified on chromosomes 7, 11 and 12. Three QTLs associated with blast resistance in nursery test at three regions were also detected on chromosomes 7, 11 and 12. The QTL commonly detected on chromosome 12 was only increased blast resistance by Ganghwaaengmi 11 allele. This QTL accounted for 60.3~78.6% of the phenotypic variation in the blast nursery test. OSR32 and RM101 markers tightly linked to QTL for blast resistance on chromosome 12 might be useful for marker-assisted selection (MAS) and gene pyramiding to improve the blast resistance of japonica rice.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.630-637
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• 2018

Harmony search (HS) is a recently developed metaheuristic optimization algorithm. HS is inspired by the process of musical improvisation and repeatedly searches for the optimal solution using three operations: random selection, memory recall (or harmony memory consideration), and pitch adjustment. HS has been applied by many researchers in various fields. The increasing complexity of real-world optimization problems has created enormous challenges for the current technique, and improved techniques of optimization algorithms and HS are required. We propose an improved clustering harmony search (ICHS) that uses a clustering technique to group solutions in harmony memory based on their objective function values. The proposed ICHS performs modified harmony memory consideration in which decision variables of solutions in a high-ranked cluster have higher probability of being selected than those in a low-ranked cluster. The ICHS is demonstrated in various optimization problems, including mathematical benchmark functions and water distribution system pipe design problems. The results show that the proposed ICHS outperforms other improved versions of HS.