• KIPS Transactions on Computer and Communication Systems
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• v.3 no.7
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• pp.241-244
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• 2014

Wireless Sensor Network(WSN) has been attracting lots of interest in recent years for smart surveillance systems. WSN-based surveillance systems need to figure out the occurrence or existence of events or objects and to find out where the events have occurred or the objects are present. In our surveillance system, it is needed to give an alarm only when the detected object is human (not pets or rodents) for reducing false alarms and improving the system reliability. In this paper, we propose a height prediction mechanism to determine if the detected object is human using Heron's formula. Finally, we verify the performance of our proposed mechanism through various experiments.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.9
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• pp.1099-1111
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• 2011

This study identified the types of consumer review information about apparel products based on consumer satisfaction/dissatisfaction with the availability/non-availability of consumer review information for online stores. Data were collected from 318 females aged 20s' to 30s', who had significant experience in reading consumer reviews posted on online stores. Consumer satisfaction/dissatisfaction with availability or non-availability of review information on online stores is different for information in regards to apparel product attributes, product benefits, and store attributes. According to the concept of quality elements suggested by the Kano model, two types of consumer review information were determined: Must-have information (product attribute information about size, fabric, color and design of the apparel product; benefit information about washing & care and comport of the apparel product; store attribute information about responsiveness, disclosure, delivery and after service of the store) and attracting information (attribute information about price comparison; benefit information about coordination with other items, fashionability, price discounts, value for price, reaction from others, emotion experienced during transaction, symbolic features for status, health functionality, and eco-friendly feature; store attribute information about return/refund, damage compensation and reputation/credibility of online store and interactive and dynamic nature of reviews among customers). There were significant differences between the high and low involvement groups in their perceptions of consumer review information.

• Biomolecules & Therapeutics
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• v.6 no.3
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• pp.261-268
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• 1998

Propolis is a lipophilic, natural product prepared by mixing the exudates collected from various plants by honeybees with beeswax for the purpose of using to seal hive walls and to strengthen the borders of combs. Because of its versatile bioactivities, propolis has been attracting many investigators'interest. But the pharmacological studies on propolis has, to date, been exclusively performed for an alcohol extract, there is few information of water extract. Therefore, in this study, we investigated the various effects of water extract of Chinese propolis. The water extract of propolis and its fractions of organic solvents showed strong antioxidative activities, especially ether and ethylacetate fractions, and reduced the lipid peroxidation of rat liver in viro. Additionally the ether fraction of propolis (10 mg/ml) inhibited the activity of hyaluronidase by 50%. In vivo, the water extract of propolis considerably decreased s-GOT, s-GPT and s-LDH activities which represent for the hepatotoxicity induced by $CCl_4$ in rats, and prolonged the MST (Medium revival tinge) and ILS (Increasing in MST over control) by 18% in mice which inoculated with sarcoma 180 ascites cells. These results suggest that the water extract of propolis has various bioactivities as well as the alcohol extract.

• Journal of the Korean Society of Radiology
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• v.10 no.8
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• pp.637-643
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• 2016

Due to the popularity of artificial intelligent, medical image processing using artificial neural network is increasingly attracting the attention of academic and industry researches. Deep learning with a convolutional neural network has been proved to very effective representation of images. However, the training process requires high performance H/W platform. Thus, the realtime learning of a large number of high dimensional samples within low-power devices is a challenging problem. In this paper, we attempt to establish this possibility by presenting a realtime neural network method on Raspberry pi using online sequential extreme learning machine. Our experiments on high-dimensional dataset show that the proposed method records an almost real-time execution.

• Journal of the Korean Society for Heat Treatment
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• v.33 no.2
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• pp.49-56
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• 2020

Magnesium alloy is a metal with high specific strength and light weight, and is attracting attention as a next generation metal for environmentally friendly automobiles and transportation equipment. However, magnesium alloys have a problem of degrading formability due to the basal texture developed during processing, and their application is limited. Although active researches on the control of textures have been conducted in order to minimize this problem, there is a lack of research on the formation of microstructures and textures according to elemental differences. In this study, AZ61 and AZ80 magnesium alloys were selected to investigate the effects of aluminum addition on the microstructure development of magnesium alloys. This research has proven that the increase of the rolling rate results in the decrease of the average grain size of the two alloys, the increase of the hardness, and the increase of the fraction of twins. As shown on this research below, the basal texture developed strongly as the rolling ratio increased. On the other hand, this research also has proven that the two alloys exhibited different texture strength and distribution tendencies, which could be due to the effects of aluminum addition on work hardening, grain size, and twin behavior.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.02a
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• pp.38-38
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• 2011

Covalently bonded halogen ligands possess unusual charge distributions, attracting both electrophilic and nucleophilic molecular ligands to form halogen bonds. In many biochemical systems, halogen bonds and hydrogen bonds coexist. The interplay between halogen and hydrogen bonds has been actively studied in various three-dimensional bulk molecular co-crystals. It was found that halogen bonds could be complementary to hydrogen bonds due to their similar bond strength and dissimilar directionality. In those ensemble-averaging approaches, however, it was not possible to extract local information such as individual bond configurations and nano-level domain structures, which is a crucial part of supramolecular studies. In this study, we directly visualize the individual molecular configuration of a brominated molecule and the role of halogen bonds on Au(111) using scanning tunneling microscopy. The precise arrangement of observed molecular structures was reproduced by first-principle studies and explained in the context of halogen and hydrogen bonds. We discuss the distances and the strengths of the observed halogen bonds and hydrogen bonds, which are consistent with previous bulk data.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.557-557
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• 2012

Silicatein-${\alpha}$, the enzyme extracted from silica spicules in glass sponges, has been studied extensively in the way of chemistry from 1999, in which the pioneering work by Morse, D. E. - the discovery of the enzymatic hydrolysis in Silicatein-${\alpha}$ - was published. Since its reaction conditions are physiologically favored, synthesis of various materials, such as gallium oxide, zirconium oxide, and silicon oxide, was achieved without any hazardous wastes. Although some groups synthesized oxide films and particles, they have not achieved yet controlled morphogenesis in the reaction conditions mentioned above. With the knowledge of catalytic triad involved in hydrolysis of silicone alkoxide and oligomerization of silicic acid, we designed the novel peptide amphiphiles to not only form self-assembled structure, but also display similar activities to silicatein-${\alpha}$. Designed templates were able to self-assemble into left-handed helices for the peptide amphiphiles with L-form amino acid, catalyzing polycondensation of silicic acids onto the surface of them. It led to the formation of silica helices with 30-50 nm diameters. These results were characterized by various techniques, including SEM, TEM, and STEM. Given the situation that nano-bio-technology, the bio-applicable technology in nanometer scale, has been attracting considerable attention; this result could be applied to the latest applications in biotechnology, such as biosensors, lab-on-a-chip, biocompatible nanodevices.

• Journal of Engineering Education Research
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• v.13 no.3
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• pp.61-67
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• 2010

The current trends in engineering education have been examined in order to address the situation of educating engineering workforce. It was found that the decline in the supply of manpower in engineering education had not been a serious problem since 2003. However, a large number of students who graduated engineering colleges intended to enter medical schools. Engineering colleges may consider developing high school exposure programs making students to explore engineering. Also policies are required for engineering program to be competitive for attracting and retaining strong workforce into an engineering career.

• Journal of the Korean Society of Food Culture
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• v.14 no.3
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• pp.225-231
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• 1999

Perception and knowledge on the diet among 651 women living in Inchon were surveyed by questionnaires in March through May, 1998. Respondents consisted of middle school girls(12.3%), high school girls(16.4%), and women in twenties(16.4%), thirties(18.9%), forties(15.7%) and fifties and over(20.3%). Ratio of high school graduates was the highest(37.0%) among respondents, and there was a tendency of less education with ages. Seventy-six percent of women practised the diet for the self-satisfaction of a nice figure, 20% for healing diseases, and 3.4% for attracting boy friends' or husbands' attention. The purpose of the diet was significantly different with ages(p<0.01). The diet methods which the respondents perceived effective and wanted to practise were exercise and food therapy. Average score of the knowledge on the diet was 8.27 out of 10, and significantly different with ages and education(p<0.05). Twenties showed the highest score and high school girls, thirties, middle school girls, forties and fifties and over were followed in decreasing order. Also the score was in decreasing order of graduates of college, high, elementary and middle school.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.10
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• pp.4042-4059
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• 2020

The development of new multimedia techniques such as 3D printing is increasingly attracting the public's attention towards 3D objects. An optimized robust and imperceptible watermarking method based on Ant Colony Optimization (ACO) and Weber Law is proposed for 3D polygonal models. The proposed approach partitions the host model into smaller sub meshes and generates a secret watermark from the sub meshes using Weber Law. ACO based optimized strength factor is identified for embedding the watermark. The secret watermark is embedded and extracted on the wavelet domain. The proposed scheme is robust against geometric and photometric attacks that overcomes the synchronization problem and authenticates the secret watermark from the distorted models. The primary characteristic of the proposed system is the flexibility achieved in data embedding capacity due to the optimized strength factor. Extensive simulation results shows enhanced performance of the recommended framework and robustness towards the most common attacks like geometric transformations, noise, cropping, mesh smoothening, and the combination of such attacks.