• Culinary science and hospitality research
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• v.12 no.4 s.31
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• pp.269-283
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• 2006

To show the recognition of hand-sanitizer, we studied the answers of research questions where we got from the northern part of Seoul and Kyunggi Province. We had categorized two groups both industry-related people who work in restaurants, hygiene service shops, whole sales, government organizations, PC shops, factory-department stores and non industry-related people who work in schools, general offices for this study. 1. Hand sanitation level: Over 60% people washed hands 6 times a day. The group using water and soap was much bigger than the group using water for washing hands. For drying, people preferred wipe tissue, towels, clothes, non drying in that order. 2. Recognition of hand sanitizer and its usage experience: Most people(66.5%) did not know what hand sanitizer is, but they have positive attitude if they use this machine. 3. Place of hand sanitizer: The proper places to install were such public places as hospitals, restrooms, and restaurants. The fifties-group was the most frequently hand washing generation with over 9 times a day. 4. Comparison of recognition for hand-sanitizer by male and female: There were different results in each evaluation item by either male or female. The frequency and method of hand washing showed high in males, while females observed hand sanitization, installation requirements, installation areas, home installation, etc more than anything else.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.8
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• pp.1164-1171
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• 2012

Recently, machine olfactory systems as an artificial substitute of the human olfactory system are being studied actively because they can scent dangerous gases and identify the type of gases in contamination areas instead of the human. In this paper, we present an effective design method for the gas identification system. Even though dimensionality reduction is the very important part, in pattern analysis, We handled effectively the dimensionality reduction by grouping the sensors of which the measured patterns are similar each other, where genetic algorithms were used for combination optimization. To identify the gas type, we constructed the hierarchical rule base with two frames by using rough set theory. The first frame is to accept measurement characteristics of each sensor and the other one is to reflect the identification patterns of each group. Thus, the proposed methods was able to accomplish effectively dimensionality reduction as well as accurate gas identification. In simulation, we demonstrated the effectiveness of the proposed methods by identifying five types of gases.

• The International Journal of Costume Culture
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• v.13 no.1
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• pp.1-4
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• 2010

The hand printed cottons of India are historically world-renowned for their rich fast colours, elaborate designs, and matchless quality. Until the discovery of synthetic dyestuffs in the latter part of the nineteenth century, the unsurpassed master dyers of cotton were the craftsmen of India-birthplace of cultivated cotton. The Indian printers and dyers monopolised this arcane art of permeating cotton cloth with richly hued, colour-fast designs, and the fruits of their labour proved hugely influential in international trade and the development of modern textile technologies. This paper focuses on a lesser-known body of hand printed cottons, traditionally produced in rural Rajasthan for everyday use by the local pastoral communities. Drawing on extensive research carried out with the region's Chhipa community of hereditary cloth printers, the complex and multiple applications of mordant, dye and resist are illustrated. Often taking months to complete, the enduring popularity of these labour-intensive hand printed cottons is then discussed, particularly in the light of the hugesocial importance borne by cloth in Rajasthan. Cloth and clothing are widely recognised as indicators of social status, gender, rank, and individual and group affiliations. In addition, cloth and clothing have been established as indicators of social, economic, political and technological change. The paper concludes by drawing attention to the recent influx of machine-printed polyester textiles, often replicating the designs or colours of the traditional locally produced cottons. Thus women of the region, whilst using these modern synthetic textiles as part of newer ways of expressing their identity, also visibly retain the values associated with hand printed cottons and traditional dress codes.

• Restorative Dentistry and Endodontics
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• v.35 no.6
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• pp.479-485
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• 2010

Objectives: The aim of this study was to compare the push-out bond strengths of resin cement/fiber post systems to post space dentin using different application methods of resin cement. Materials and Methods: Thirty extracted human premolars were selected and randomly divided into 3 groups according to the technique used to place the cement into root canal: using lentulo-spiral instrument (group Lentulo), applying the cement onto the post surface (group Direct), and injecting the material using a specific elongation tip (group Elongation tip). After shaping and filling of the root canal, post space was drilled using Rely-X post drill. Rely-X fiber post was seated using Rely-X Unicem and resin cement was light polymerized. The root specimens were embedded in an acrylic resin and the specimens were sectioned perpendicularly to the long axis using a low-speed saw. Three slices per each root containing cross-sections of coronal, middle and apical part of the bonded fiber posts were obtained by sectioning. The push-out bond strength was measured using Universal Testing Machine. Specimens after bond failure were examined using operating microscope to evaluate the failure modes. Results: Push-out bond strengths were statistically influenced by the root regions. Group using the elongation tip showed significantly higher bond strength than other ways. Most failures occurred at the cement/dentin interface or in a mixed mode. Conclusions: The use of an elongation tip seems to reduce the number of imperfections within the selfadhesive cement interface compared to the techniques such as direct applying with the post and lentulospiral technique.

• Journal of Dental Rehabilitation and Applied Science
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• v.21 no.1
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• pp.69-81
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• 2005

The objective of this study was to evaluate the toothbrush abrasion characteristics of class V restorations. Thirty extracted human premolars, which were collected from oral surgery clinics were used. We mounted five teeth in a metal ring mold of 50 mm in diameter and 15 mm in height using chemically cured acrylic resin. Class V cavities were prepared in lingual cervical root surfaces and restored using one of following restorative materials : Dentin Conditioner/Fuji II LC (Group FL), All Bond II/Z-250 (Group ZT), One-up Bond F/Palfigue Estelite (Group PE), F2000 Primer/Adhesive (Group FT), and Prime & Bond 2.1/Dyract AP (Group DR). They were stored under distilled water at $37^{\circ}C$ for seven days. The toothbrush abrasion test was conducted using a wear testing machine of pin-on disk type under a load of 1.5 N for 100,000 cycles. We have examined the bonded interfaces, the changes of surface roughness and color of abraded surfaces. From this experiment, the following results were obtained. 1. The change of surface roughness showed high degree: RMGIC>compomer>composite resin (p<0.05). 2. Because of the protrusion and missing of filler particles, SEM observation of abraded surfaces of RMGIC and compomers revealed the increase of surface roughness due to the selective removal of matrix resin. 3. The color change by toothbrush abrasion was affected in large part by the change of $L^*$ and $b^*$ of resin composites (p<0.05). 4. The color change by toothbrush abrasion was so small to detect by human eyes. 5. SEM observation of abraded surfaces revealed the interface bonding was the best in the FT group.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.39 no.6
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• pp.575-581
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• 2015

The drill bit, which directly transmits percussive forces and torque to the rock, is the core part of a rock drilling machine. For effective drilling, the button arrangement of a drill bit should be optimized because it is the most important design factor in determining drilling efficiency. Furthermore, a quantitative method is necessary to evaluate the button arrangement for the optimization of the drill bit button. Therefore, we propose a new method for the evaluation of the drill bit button arrangement using new evaluation indices, which include the overlapped impact area, blank area, and moment. Moreover, we verify the suitability of the proposed evaluation method by applying it to the conventional button arrangement.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.5
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• pp.1319-1326
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• 2024

In this study, 3 dental implants were implanted in each femur of NZW rabbits, and only the right experimental group was irradiated with 850 nm infrared and 3 MHz ultrasonic waves for 10 minutes every day. After 3 and 6 weeks, a torsional test was performed using a universal testing machine to determine the changes in osseointegration. As a result, in the specimen subjected to 3 weeks, the maximum value of 3.01 MPa was measured in specimen #1, and the minimum value of 1.20 MPa was measured in specimen #1. In the control group, the maximum value of 0.75 MPa was measured in specimen #6, and the minimum value of 0 .10 MPa was measured in specimen #4. The average value of specimens #1 to #3 of the experimental group was 1.76 MPa, and the average value of specimens #4 to #6 of the control group was 0.48 MPa. In the third week, among the torsion test results, for the control group, specimens #4 to #6, the specimen with the lowest initial osseointegration progress was measured at 0.10 MPa, and all of the measurement values at a total of 9 sites, including 3 sites for each specimen, were measured below 1.0 MPa. This is a very key part of this study, indicating that the initial osseointegration was very low. On the other hand, for the experimental group specimens #1 to #3, all of the measurement values at a total of 9 sites were measured above 1.0 MPa, and the maximum value was 3.01 MPa, confirming that 850 nm infrared light irradiation and 3 MHz ultrasound irradiation have an effect on improving osseointegration and bone quality with dental implants.

• Journal of Korean Institute of Industrial Engineers
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• v.30 no.4
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• pp.285-293
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• 2004

In this study, a machine grouping problem for the formation of manufacturing cells is considered. We constructed the problem as minimizing manufacturing leadtime consisting of parts' processing, moving, and waiting time. Specifically, the main objective of the defined problem is established as minimizing inter-cell traffic in order to minimize the part's moving time. In addition, to reduce the waiting time of parts, the load balance among cells is implicitly included as constraints. Since this problem is well known as NP-complete and cannot be solved in polynomial time, a genetic algorithm is implemented to obtain solutions. Also, a local optimization algorithm is applied in order to improve the solution by the genetic algorithm. Several experiments show that the suggested algorithms guarantee near optimal solutions in a few seconds.

• Annual Conference of KIPS
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• 2021.11a
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• pp.681-684
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• 2021

In this paper, we study image clustering without labeling using machine learning techniques. We proposed an unsupervised machine learning technique to design an image clustering model that automatically categorizes images into groups. Our experiment focused on inception convolutional neural networks (inception V3) with k-mean methods to cluster images. For this, we collect the public datasets containing Food-K5, Flowers, Handwritten Digit, Cats-dogs, and our dataset Rice Germination, and the owner dataset Palm print. Our experiment can expand into three-part; First, format all the images to un-label and move to whole datasets. Second, load dataset into the inception V3 extraction image features and transferred to the k-mean cluster group hold on six classes. Lastly, evaluate modeling accuracy using the confusion matrix base on precision, recall, F1 to analyze. In this our methods, we can get the results as 1) Handwritten Digit (precision = 1.000, recall = 1.000, F1 = 1.00), 2) Food-K5 (precision = 0.975, recall = 0.945, F1 = 0.96), 3) Palm print (precision = 1.000, recall = 0.999, F1 = 1.00), 4) Cats-dogs (precision = 0.997, recall = 0.475, F1 = 0.64), 5) Flowers (precision = 0.610, recall = 0.982, F1 = 0.75), and our dataset 6) Rice Germination (precision = 0.997, recall = 0.943, F1 = 0.97). Our experiment showed that modeling could get an accuracy rate of 0.8908; the outcomes state that the proposed model is strongest enough to differentiate the different images and classify them into clusters.

• Journal of Bio-Environment Control
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• v.33 no.1
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• pp.30-36
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• 2024

This study was conducted to determine the optimal working conditions when a recently developed blower-type onion stem cutter is utilized for cutting onion leaves at harvest time. The June 20 leaf cutting treatment group had the highest leaf dryness among the treatment groups (leaf dryness: 66.3%; leaf moisture content: 50.5%); the residual leaf length was 6.7 ± 3.5 cm. It is considered to have the best mechanical leaf cutting performance among the treatment groups because it is included in the optimal range of 4-10 cm. The average working speed of mechanical onion leaf cutting using the stem cutter was 0.17 m·s^-1, which is approximately 3.4 times faster than the average working speed of 0.05 m·s^-1 in the human leaf cutting treatment group. This is expected to save approximately 2.6 hours compared to human labor (based on one person) when working on a 10a area using this machine. In addition, the incidence of damaged bulbs in the machine leaf cutting treatment group was 1.3%, compared to 0.0% in the manual leaf cutting treatment group. This suggests that the mechanical leaf cutting treatment group had a higher average onion bulb decay rate during storage than the manual leaf cutting treatment group. When the storage characteristics of each treatment group were examined, the decay rate by bulb part (leaf connected or root connected) after 8 months of storage was higher in the treatment group with a residual leaf length of less than 5.0 cm after mechanical leaf cutting than in the treatment with a residual leaf length of more than 5.0 cm. This is thought to be due to the fact that treatments with a residual leaf length of less than 5.0 cm are more susceptible to infection by pathogens that cause decay during storage than treatments with a residual leaf length of 5.0 cm or more. Based on the results of this experiment, performance target of the experimental machine (residual leaf length after operation: 5 cm), and existing research on the optimal residual leaf length for onion harvesting, it is recommended to cut onion leaves so that the residual leaf length is 5-10 cm when using the stem cutter.