• Proceedings of the IEEK Conference
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• 2002.06d
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• pp.5-8
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• 2002

The paper handles a skin tone enhancement within digitalized images, which is based on human favorite skin color. To archive a human-favorite skin tone area, lots of observers are participated in visual experiments. The statistical result of the visual experiment was reflected in a proposed skin tone enhancement algorithm and gives more reasonable human-friendly skin color reproduction on a display device. This research was accomplished to implement in our DTV related application.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.837-856
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• 2016

Underwater image enhancement has received considerable attention in last decades, due to the nature of poor visibility and low contrast of underwater images. In this paper, we propose a new automatic underwater image enhancement algorithm, which combines nonsubsampled contourlet transform (NSCT) domain enhancement techniques with the mechanism of the human visual system (HVS). We apply the multiscale retinex algorithm based on the HVS into NSCT domain in order to eliminate the non-uniform illumination, and adopt the threshold denoising technique to suppress underwater noise. Our proposed algorithm incorporates the luminance masking and contrast masking characteristics of the HVS into NSCT domain to yield the new HVS-based NSCT. Moreover, we define two nonlinear mapping functions. The first one is used to manipulate the HVS-based NSCT contrast coefficients to enhance the edges. The second one is a gain function which modifies the lowpass subband coefficients to adjust the global dynamic range. As a result, our algorithm can achieve contrast enhancement, image denoising and edge sharpening automatically and simultaneously. Experimental results illustrate that our proposed algorithm has better enhancement performance than state-of-the-art algorithms both in subjective evaluation and quantitative assessment. In addition, our algorithm can automatically achieve underwater image enhancement without any parameter tuning.

• Korean Journal of Human Ecology
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• v.23 no.2
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• pp.281-292
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• 2014

This study was designed to examine the influence of gratitude enhancement program on preschoolers' aggression perceived by their teacher and mother. The subjects in this study were 40 four-year-old children in kindergarten in U city. This study employed a pre/post-test control group design, and so all subjects were assigned to an experimental group(gratitude enhancement program) or comparative group(general education program according to the year curriculum). Preschoolers' aggression was measured by the teacher and mother of the subjects and the collected data were analyzed by independent and paired t-test. This study also computed Cohen's d to estimate effect size of gratitude enhancement program on preschoolers' aggression. The findings of this study were as follows. Firstly, gratitude enhancement program and general education program were all effective in reducing preschoolers' aggression(aggression against things, verbal aggression and total aggression) perceived by their teacher except of aggression against others. But gratitude enhancement program was more effective than general education program in reducing these sort of aggression. Meanwhile, only gratitude enhancement program was effective in reducing preschoolers' aggression against others. Secondly, gratitude enhancement program was effective in reducing preschoolers' aggression(aggression against things, aggression against others, verbal aggression and total aggression).

• Proceedings of the IEEK Conference
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• 2002.06d
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• pp.397-400
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• 2002

This paper has been studied speech enhancement method in noisy environment. By mean of that we prefer human auditory mechanism which is perfect system and applied wavelet transform. Multi-resolution of wavelet transform make possible multiband spectrum analysis like human ears. This method was verified very effective way in noisy speech enhancement.

• The Journal of the Acoustical Society of Korea
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• v.23 no.2E
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• pp.56-67
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• 2004

Despite abundant research outcomes of blind source separation (BSS) in many types of simulated environments, their performances are still not satisfactory to be applied to the real environments. The major obstacle may seem the finite filter length of the assumed mixing model and the nonlinear sensor noises. This paper presents a two-step speech enhancement method with multiple microphone inputs. The first step performs a frequency-domain BSS algorithm to produce multiple outputs without any prior knowledge of the mixed source signals. The second step further removes the remaining cross-channel interference by a spectral cancellation approach using a probabilistic source absence/presence detection technique. The desired primary source is detected every frame of the signal, and the secondary source is estimated in the power spectral domain using the other BSS output as a reference interfering source. Then the estimated secondary source is subtracted to reduce the cross-channel interference. Our experimental results show good separation enhancement performances on the real recordings of speech and music signals compared to the conventional BSS methods.

• Korean Journal of Human Ecology
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• v.22 no.4
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• pp.575-591
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• 2013

In this paper the relationship of various types of work-family interaction (i.e. work-family conflict, and work-family enhancement) with individual, family, and employment characteristics was explored in a sample of 1000 married employed women with preschool children. By using cluster analysis, we tried to reveal whether specific combinations of the various dimensions of work-family interaction (WFI) exist. Our results showed that employed women did not simply experience work-family conflict or work-family enhancement, but that they should be classified in four distinct clusters: (1) 189 employed women experienced primarily work-family enhancement(i.e. positive WFI); (2) 289 employed women experienced primarily work-family conflict(i. e. negative WFI); (3) 338 employed women experienced work-family conflict and work-family enhancement simultaneously(i. e. both positive and negative WIF); (4) 184 employed women did not experience either work-family conflict or work-family enhancement(i. e. low WFI). Results further showed that the emerging WFI-clusters appeared to have distinct profiles with respect to individual, family and employment characteristics.

• Korean Journal of Human Ecology
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• v.14 no.2
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• pp.241-250
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• 2005

The purpose of this study is to develop a marital enhancement program based on reality therapy. The program consists of 8 session contents: program orientation, need strength profile between husband and wife, quality world and marital life, perception about marital life, comparison between quality world and perceived world, total behavior in marital life, communication between husband and wife, integration and application. This study mainly focuses on applying counseling theory (choice theory and reality therapy) to family life education for enhancing a conjugal relationship. In this way, participants of Marital Enhancement Program can experience a therapeutic effect as well as an educational effect.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.3
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• pp.364-371
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• 2014

The purpose of this paper is to review recent developments in lower limb exoskeletons. The exoskeleton system is a human-robot cooperation system that enhances the performance of the wearer in various environments while the human operator is in charge of the position control, contextual perception, and motion signal generation through the robot's artificial intelligence. This system is in the form of a mechanical structure that is combined to the exterior of a human body to improve the muscular power of the wearer. This paper is followed by an overview of the development history of exoskeleton systems and their three main applications in military/industrial field, medical/rehabilitation field and social welfare field. Besides the key technologies in exoskeleton systems, the research is presented from several viewpoints of the exoskeleton mechanism, human-robot interface and human-robot cooperation control.

• Journal of Korean Philosophical Society
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• v.146
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• pp.271-307
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• 2018

The purpose of this study is to elucidate on moral education's direction in the age of transhumanism. For transhumanism's moral education, I suggest a genetically modified plan, moral artificial intelligence method, and pharmacological method for moral bio-enhancement. I also suggest a plan for anti-transhumanism's moral education. Anti-transhumanism as a position in the ethical debate on human enhancement makes two main claims. One is a moral claim that human enhancement may disregard or violate something intrinsically valuable about human nature. The other is a political claim that human enhancement should be banned or severely restricted. In this article, I try to make a critical evaluation of transhumanism and anti-transhumanism. For this aim, I critically analyze the logic of both. Finally I argue that transhumanism's moral education has technological strengths and ethical weaknesses. But transhumanism's moral education can overcome the ethical weakness through human enhancement debate and real possibility. Anti-transhumanism's moral education needs to make significant influence through traditional education.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08a
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• pp.1035-1038
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• 2007

In this paper, we propose a color image improvement method. The proposed algorithms are classified with the adaptive contrast stretching method for contrast enhancement and the adaptive saturation enhancement method for saturation enhancement. The adaptive contrast stretching method is to compensate a significant change of brightness while luminance is processed. The adaptive saturation enhancement method inhibits its saturation from de-saturation and oversaturation while chrominance is processed. The proposed algorithms are focused on a preference color processing in order to generate better image quality than the algorithms focused on a uniform color processing for human vision.