• The Research Journal of the Costume Culture
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• v.21 no.4
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• pp.521-534
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• 2013

This study aims to identify the formative features of inflatable fashion that has changed its form or fulfilled specific functions by inserting air between fabrics or between clothes and the human body. Images of inflatable fashion images after the 1990s were collected from the literature and internet data and were analyzed based on the formative features of inflatable design. Through this analysis, it was determined that there were four formative features of inflatable fashion: First, inflatable fashion has functionality. General fashion also has functionality, but inflatable fashion has expanded functionalities such as an air bag effect or insulation due to injected air. Second, the formative potential. Inflatable fashion can be changed into different forms depending on the amount of air injected. Light-weighted air holds up the material of the clothes. So new forms that are different from conventional fashion, which gives inflatable fashion its formative potential, can be suggested. Third, aesthetic expansion. Inflatable fashion when its volume is expanded expresses the beauty of scale, or expresses a voluptuous beauty when part of human body is exaggerated. Fourth, it has an unconstructive characteristic. Space that is visible due to the transparent material of inflatable fashion expresses the intention of the designer to fulfill an unconstructive concept. In conclusion, the formative features of inflatable design have formative significances : practicality, aesthetic significance, semantics and technical significance.

• Earthquakes and Structures
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• v.6 no.2
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• pp.141-161
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• 2014

This article presents a new generation of empirical ground motion models for the prediction of response spectral accelerations in soil conditions, specifically developed for the Vrancea intermediate-depth seismic source. The strong ground motion database from which the ground motion prediction model is derived consists of over 800 horizontal components of acceleration recorded from nine Vrancea intermediate-depth seismic events as well as from other seventeen intermediate-depth earthquakes produced in other seismically active regions in the world. Among the main features of the new ground motion model are the prediction of spectral ordinates values (besides the prediction of the peak ground acceleration), the extension of the magnitudes range applicability, the use of consistent metrics (epicentral distance) for this type of seismic source, the extension of the distance range applicability to 300 km, the partition of total standard deviation in intra- and inter-event standard deviations and the use of a national strong ground motion database more than two times larger than in the previous studies. The results suggest that this model is an improvement of the previous generation of ground motion prediction models and can be properly employed in the analysis of the seismic hazard of Romania.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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• pp.137-140
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• 1996

Finding line segments in an intensity image has been one of the most fundamental issues in computer vision. In complex scenes, it is hard to detect the locations of point features. Line features are more robust in providing greater positional accuracy. In this paper we present a robust "line features extraction" algorithm which extracts line feature in a single pass without using any assumptions and constraints. Our algorithm consists of five steps: (1) edge scanning, (2) edge normalization, (3) line-blob extraction, (4) line-feature computation, and (5) line linking. By using edge scanning, the computational complexity due to too many edge pixels is drastically reduced. Edge normalization improves the local quantization error induced from the gradient space partitioning and minimizes perturbations on edge orientation. We also analyze the effects of edge processing, and the least squares-based method and the principal axis-based method on the computation of line orientation. We show its efficiency with some real images.al images.

• Journal of Information Processing Systems
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• v.12 no.4
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• pp.644-660
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• 2016

The real-time detection of malware remains an open issue, since most of the existing approaches for malware categorization focus on improving the accuracy rather than the detection time. Therefore, finding a proper balance between these two characteristics is very important, especially for such sensitive systems. In this paper, we present a fast portable executable (PE) malware detection system, which is based on the analysis of the set of Application Programming Interfaces (APIs) called by a program and some technical PE features (TPFs). We used an efficient feature selection method, which first selects the most relevant APIs and TPFs using the chi-square ($KHI^2$) measure, and then the Phi (${\varphi}$) coefficient was used to classify the features in different subsets, based on their relevance. We evaluated our method using different classifiers trained on different combinations of feature subsets. We obtained very satisfying results with more than 98% accuracy. Our system is adequate for real-time detection since it is able to categorize a file (Malware or Benign) in 0.09 seconds.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.765-772
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• 1996

Objectives of this study were to develop an application method of a numerical retina using the finite element model and to investigate the performance of image features extraction in comparison to the textural analysis. Using a plant community of radish sprouts, excellent resolution of the finite element retina was revealed. The sensitivity analysis of the finite element retina from engineering point of view was discussed. The importance of sensitivity analysis of the finite element retina was pointed out in terms of extraction of effective image features of plant community . Technical details of maximizing the sensitivity of the finite element retina to populated plant canopy were also discussed.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.86-93
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• 2005

In this paper, we discuss the merits of mechanical machining to generate micro features on large surfaces. An overseas technology trend related to the micro machining and dedicated machinery is also presented. We provide an overview of what characteristics the machinery is required to have to generate micro features on large surfaces and what kind of technical barriers need to be overcome to put the technology to practical use.

• The Journal of Information Systems
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• v.28 no.3
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• pp.123-139
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• 2019

Purpose With the development of information and communication technologies. fintech industry is rapidly growing as a major financial service. Previous research literatures mainly focused on overall characteristics and technical aspects of fintech including security issues. Therefore, this study investigated the effect of individual features influencing the resistance of adopting a fintech service. Moreover, this paper included the guidelines in practical development of fintech mechanism. Design/methodology/approach For research purposes, this study developed research hypotheses in order to empirically examine the effect of the factors that might have a significant effect on the resistance of the wearable device. The empirical research was based on a survey which carried through 359 participants. Research hypotheses were evaluated via SPSS Statistics 21.0 and AMOS 19 statistical package program. Findings Results showed that self-efficacy and individual innovation had a significant effect on the technostress and switching cost. In addition, technostress, security and switching cost had a significant effect on the resistance of adopting a fintech service. However, more factors are needed to including in research model to generalize these results.

• Korean Journal of Radiology
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• v.21 no.7
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• pp.779-792
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• 2020

Recent advances in computer technology have generated a new area of research known as radiomics. Radiomics is defined as the high throughput extraction and analysis of quantitative features from imaging data. Radiomic features provide information on the gray-scale patterns, inter-pixel relationships, as well as shape and spectral properties of radiological images. Moreover, these features can be used to develop computational models that may serve as a tool for personalized diagnosis and treatment guidance. Although radiomics is becoming popular and widely used in oncology, many problems such as overfitting and reproducibility issues remain unresolved. In this review, we will outline the steps of radiomics used for oncology, specifically addressing applications for breast cancer patients and focusing on technical issues.

• Proceedings of the KAIS Fall Conference
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• 2011.12b
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• pp.529-532
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• 2011

Recently research efforts for ubiquitous technology that includes RFID(Radio Frequency Deification and sensor networks are conducted very actively The architectural framework of the USN sensor network discovery service. The survey of the USN technology is conducted on four technological visions that contain USN system technology USN networking technology and USN middleware along with the service platform, With respect to each technological division domestic and worldwide leading research projects are primarily explored with their technical features and research projects are primarily explored with their technical features and research outputs. Boasted on the result of the survey we establish a USN software model that includes data sensing, sensor data storage sensor data storage sensor data naming and sensor feed name service. This main objective of this model is to provide a reference model for the facilitation of USN application developments.

• Journal of Multimedia Information System
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• v.4 no.4
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• pp.271-278
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• 2017

There has been an influx of traders and researchers eager to gain a better understanding of the market due to the rapid growth of the FOREX market. Traders with varying degree of experience are also often inundated with information, analysis methods as well as trading rules when making a trading decision on buying/selling a currency exchange pair. Thus, this paper reviews the current computational tools and analysis methods used within the FOREX trading community and proposes the development of a web-based trading platform with e-learning features to support beginners. Novice traders could also benefit from the use of the proposed e-learning trading platform as it helps them gain valuable knowledge and navigate the FOREX market in real-time. Even experienced traders would find it useful as the platform could be used for actual trading and acts as a reference point to understand the reasoning behind the certain technical analysis implementation that are still unclear to them.