• Journal of Embryo Transfer
• /
• v.29 no.4
• /
• pp.397-401
• /
• 2014

The boar sperm has more lipid droplets and specialty of seminal plasma compared with other species, causing difficulties of freezing sperm and decreases for the utilization of frozen semen into the artificial insemination. However, several studies reported significant results for the recovery of sperm motility and reproductive by addition of cryoprotectants and seminal plasma after thawing. This study was designed to investigate the effects of supplementation of trehalose or glycerol in the LEY (lactose and egg yolk in BTS) solution for the conventional freezing and vitrification process. Two boars aged 16 months were used to collect semen for 2 times in a week. The samples were allotted to 3 freezing solutions (LEY + glycerol 10.5% + OEP 1.5%, LEY + trehalose 1M + OEP 1.5%, and sucrose 1.5M + trehalose 1 M + OEP 1.5%) after centrifugation at 800 g for 10 minutes. Semen was equilibrated in freezing solutions for 10 minutes and injected into plastic straws with 2~3 air bubbles to minimize freezing damages. Vitrification was performed to locate sperm in 5 cm above $LN_2$ for 5 minutes, and the conventional freezing was conducted with an automatic freezer. Motility and survival rates were measured by CASA (Computer assisted sperm an alyzing system) and FITC (Fluorescein isothiocyanate), respectively after thawing semen at $50^{\circ}C$ for 12 seconds. The results were analyzed by ANOVA with STATVIEW statistical program. The vitrificatioin solution (LEY + 10.5% glycerol + 1.5% OEP) presented higher motility (20.9%) than other solutions while the solution (LEY + 1M trehalose + 1.5% OEP) showed the lowest (motility : 5.2%). However, survival rates of vitrified sperms detected by FITC showed 1~4% live sperms in almost of dead sperms at all vitrification solutions' groups, but survival rate of freezing solution of LEY + 1M trehalose + 1.5% OEP LEY and LEY + 10.5% glycerol + 1.5% OEP were showed 49%, and 79%, respectively. There were differences (P<0.05) survival rate of conventional freezing in LEY + 10.5% glycerol + 1.5% OEP and LEY + 1M trehalose + 1.5% OEP and the remaining showed no differences. The results suggested that vitrified boar semen was not enough to be utilized for the artificial insemination, but it showed possibility to utilize for ICSI and conventional freezing with glycerol would be useful method for artificial insemination in pig while we choose the outstanding semen against tolerance to freezing damages.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.44 no.3
• /
• pp.65-78
• /
• 2016

LID(Low-Impact Development) has received a great deal of attention in the field of urban water management. The spread of LID technologies as a natural drainage system has led to a rise in consideration of the applicability of policy in Korea. In this respect, the purpose of this study is to analyze experts' perception about utilization, applicability of policy, and improvements of LID by using Q-methodology. The sample included 31 experts who were government employees, landscape architects, researchers, and professors related to LID. All participants completed a 28-statement Q-sort task. Data was analyzed by using QUANL computer software. As a result of this study, four distinct experts' perceptions about LID are identified: Policy Enforcement Oriented Type, Expert Understanding Oriented Type, Manual Oriented Type, and Effectiveness Oriented Type. This study suggested appropriate directions related to LID technologies, and it is helpful to apply the domestic type's LID and increase the efficiency of LID in Korea. However, this study has a limit in which the viewpoint of the researcher intervenes: a complementary searcher is needed to verify the validity by type in policy decision-making.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.12
• /
• pp.2960-2965
• /
• 2013

Customized services for individuals in analysis of recently collected GPS information have been investigated in various aspects. As the size of collected GPS data gets larger, a variety of services is being released accordingly. Existing studies, however, are limited to presenting service models for users while there is little study on developing intelligent computing technologies in the introduction of GPS information into the system. This study suggests an algorithm to analyze traffic information by introducing GPS information into the system in order to take the lead among intelligent computing technologies. The suggested algorithm analyzes a map by means of the collected vehicle GPS information and sectional traffic information interpretation method; thus, the computer judges the traffic information collected by humans. The experiment result shows that the traffic information was properly analyzed upon the utilization of the given data. Although a small quantity of analyzed data was less reliable, the system maintained high reliability as the data was sufficient.

• Journal of The Korean Association of Information Education
• /
• v.23 no.5
• /
• pp.451-459
• /
• 2019

Various policies have been implemented for human resources development in preparation for future society. Among the policies, STEAM education, SMART education and SW education are representative examples. In order for these policies to be implemented effectively in the school setting, teachers' positive perception and teaching competency are required. In consideration of the importance of pre-service teacher education, this study analyzed the current status of elementary pre-service teachers' perception and teaching readiness on STEAM education, SMART education and SW education, and sought implications that can be reflected in pre-service teacher education. The results of the study showed that the pre-service teachers' perception on the necessity of each policy was very high, and the understanding level of each policy was relatively high. Compared with this, it was found that pre-service teachers lacked training experience related to each policy, and the level of readiness for teaching was very low. As the most important task to be solved, many pre-service teachers selected the implementation of teacher education and seminars, and the distribution of instructional programs and materials. As the result of analyzing the difference according to pre-service teachers' individual characteristics, differences were found according to the level of their ICT utilization ability. Based on the results of this study, implications to be reflected in pre-service teacher training processes were suggested.

• The Journal of the Acoustical Society of Korea
• /
• v.38 no.5
• /
• pp.593-600
• /
• 2019

The similarity in tones between speakers can lower the performance of speaker verification. To improve the performance of speaker verification systems, we propose a multi-task learning technique using deep neural network to learn speaker information and age information. Multi-task learning can improve generalization performances, because it helps deep neural networks to prevent hidden layers from overfitting into one task. However, we found in experiments that learning of age information does not work well in the process of learning the deep neural network. In order to improve the learning, we propose a method to dynamically change the objective function weights of speaker identification and age estimation in the learning process. Results show the equal error rate based on RSR2015 evaluation data set, 6.91 % for the speaker verification system without using age information, 6.77 % using age information only, and 4.73 % using age information when weight change technique was applied.

• Korean Journal of Remote Sensing
• /
• v.37 no.5_1
• /
• pp.1149-1161
• /
• 2021

With a trend of the utilization of computer vision for satellite images, cloud detection using deep learning also attracts attention recently. In this study, we conducted a U-Net cloud detection modeling using SPARCS (Spatial Procedures for Automated Removal of Cloud and Shadow) Cloud Dataset with the image data augmentation and carried out 10-fold cross-validation for an objective assessment of the model. Asthe result of the blind test for 1800 datasets with 512 by 512 pixels, relatively high performance with the accuracy of 0.821, the precision of 0.847, the recall of 0.821, the F1-score of 0.831, and the IoU (Intersection over Union) of 0.723. Although 14.5% of actual cloud shadows were misclassified as land, and 19.7% of actual clouds were misidentified as land, this can be overcome by increasing the quality and quantity of label datasets. Moreover, a state-of-the-art DeepLab V3+ model and the NAS (Neural Architecture Search) optimization technique can help the cloud detection for CAS500 (Compact Advanced Satellite 500) in South Korea.

• The Korean Journal of Archival Studies
• /
• no.52
• /
• pp.241-275
• /
• 2017

This study reinterprets the meaning of the record contents from the viewpoint of the record continuum to find ways to enhance the usability of records that are emphasized by the electronic record environments. In general, in academic discussions and practical examples, record contents are recognized as digital media produced by putting a high level of computer technologies and a big budget based on some records related to specific subjects. To enhance the usability of, and spread the meaning through, records, it is necessary to shift the awareness in record contents. For this purpose in Chapter 2, to grasp the meanings of the church records as well as the utilization direction, it is necessary to analyze the organization and function. Therefore, the analysis of the organization and function of the church was examined. In Chapter 3, this study attempted to find the meaning of the contents of church records in each dimension of the record continuum in relation to the mission of the church, which was identified through the organization and function analysis of the church. In Section 3, which corresponds to Dimension 4, the meaning of church record contents is diversified in society. In the end, this study suggests that the meaning and use value of records can be found in everyday life and can then be spread to society as well.

• KIPS Transactions on Software and Data Engineering
• /
• v.11 no.3
• /
• pp.141-148
• /
• 2022

Recently, reinforcement learning combined with deep neural network technology has achieved remarkable success in various fields such as board games such as Go and chess, computer games such as Atari and StartCraft, and robot object manipulation tasks. However, such deep reinforcement learning describes states, actions, and policies in vector representation. Therefore, the existing deep reinforcement learning has some limitations in generality and interpretability of the learned policy, and it is difficult to effectively incorporate domain knowledge into policy learning. On the other hand, dNL-RRL, a new relational reinforcement learning framework proposed to solve these problems, uses a kind of vector representation for sensor input data and lower-level motion control as in the existing deep reinforcement learning. However, for states, actions, and learned policies, It uses a relational representation with logic predicates and rules. In this paper, we present dNL-RRL-based policy learning for transportation mobile robots in a manufacturing environment. In particular, this study proposes a effective method to utilize the prior domain knowledge of human experts to improve the efficiency of relational reinforcement learning. Through various experiments, we demonstrate the performance improvement of the relational reinforcement learning by using domain knowledge as proposed in this paper.

• Knowledge Management Research
• /
• v.23 no.1
• /
• pp.47-67
• /
• 2022

Computer and Internet information technologies(ICTs) have changed the modern service industry and people's life style. In particular, the global spread of COVID-19 has attracted more attention to contact service types such as self-service technology. With the increase in labor costs and the enhancement of consumer self-awareness, more and more companies transfer part of their work to customers through their own service technology. This study seeks to answer the following questions. (1) Do technology difficulty and safety perception affect customer value recognition in the self-service technologies? (2) Does customer value recognition influence the intention to use such technologies continuously? This study conducted an empirical analysis with 327 samples to validate the influence of self-service characteristics(technology difficulty and safety perception) on customer value recognition and continuous utilization intentions. Also, it analyzes the moderating effects of age and frequency of use on the relationship between self-service characteristics and customer value recognition. The study results show that the technology difficulty does not affect the customer's perceived value recognition; and the higher the customer's value recognition, the higher the intention of continuous use.

• The Journal of the Korea Contents Association
• /
• v.22 no.4
• /
• pp.742-753
• /
• 2022

Recently, the globalization of culture and the global trend of K-culture have become a good background for further developing and promoting Korean traditional culture. However, although Korean traditional music has an excellent notation method called Jeongganbo developed by King Sejong, it is gradually not being used as the universality of Western notation. However, since the 7th curriculum, the proportion of introduction and utilization of Jeongganbo in elementary music education has been increasing. And this is a good opportunity to re-generalize our unique traditional notation. On the other hand, in addition to practicing the interpretation of the notation method, more diverse tools will be needed to activate the practice of Jeongganbo. Therefore, this study studied the design of a web program that can make Jeongganbo on the web without installation or download. In addition, in order to increase the user's convenience in the process of publishing Jeongganbo, it designs and proposes a method of inputting using a computer keyboard like a piano keyboard and method of listening to input music information through MIDI function and save it as a file. Through this study, it is possible to develop a web program that anyone can easily and simply approach, practice, and publish, and it is expected to be a useful tool for practicing Korean traditional music or publishing traditional music in the future.