• Journal of the Korea Convergence Society
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• v.7 no.5
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• pp.23-28
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• 2016

In this paper, smart devices using a 4 to 6 years old, infants and parents to a user layer of training and with games or studying infants by integrating them. Not losing interest and concentration, Mobile infants to learning to learn Korean, English, the estimated budget. design the app tainer. For parents of infants and a variety of media concentration and learning Korean, English, English word cards that can increase the interest of the design and, to find a picture Memory game, had provided games are various kinds such as learning to do puzzles. Also, infants and tries to help study a visual learning and auditory learning at the same time can be achieved by mothers of children is much more conveniently. Learning to guide implementation to maximize the availability, convenience and mobility.

• Smart Media Journal
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• v.7 no.2
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• pp.47-53
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• 2018

Along with the development of information and communication technology, smart education that can learn without restrictions of time, place and equipment is activated even in the field of education. Although smart education is provided with content-based training solutions, construction of a system that grasps individual characteristics of learners and provides personalized learning is relatively weak. The activity of free choice is an important play activity of early childhood education, but it is not implemented efficiently by relying on the clinical observation of the teacher. If the IoT(Internet of Things) technology based on Hyper-Connected is applied to free-choice activities, it is possible to provide the child's personalized activity type and play-form analysis based on objective and stylized data. In this paper, we design and implement a system to monitor the child's activity of free choice by building an IoT environment that is based on open source hardware. The proposed system provides children's activity information as objective data and will be used as teacher's work mitigation and custom training material for each child.

• Journal of IKEEE
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• v.23 no.4
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• pp.1187-1194
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• 2019

This paper proposes a CNN architecture as value function network of an artificial intelligence Othello game agent and its learning scheme using reinforcement learning algorithm. We propose an approach to construct the value function network by using CNN to learn the records of professional players' real game and an approach to enhance the network parameter by learning from self-play using reinforcement learning algorithm. The performance of value function network CNN was compared with existing ANN by letting two agents using each network to play games each other. As a result, the winning rate of the CNN agent was 69.7% and 72.1% as black and white, respectively. In addition, as a result of applying the reinforcement learning, the performance of the agent was improved by showing 100% and 78% winning rate, respectively, compared with the network-based agent without the reinforcement learning.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.93-102
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• 2012

This study started from the project that make the record of legendary actor's heritage in Korea. This research was focused on Sung Hee Beck's artistic footprint which was almost same steps as the Korean modern play of the centennial theater history by reviewing her; domestic royal actor; acting techniques which learn from real acting field by herself and her career. Her life shows constant resistance for the social negative reputation of the acting field, and her frantic effort to Korean play and actor's phase. Above all, this passionate actor's life contributes to society, and improve the Korean theater through 70 year's her experiences with countless roles in around 400 performances and her own valuable acting techniques. To look up legendary actress of our time, Sung Hee Beak's life gives us a chance to reflect art of acting which emphasizes its fundamental.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.135-141
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• 2019

Recently, there has been active researches about building an artificial intelligence agent that can learn how to play a game by using re-enforcement learning. The performance of the learning can be diverse according to what kinds of deep learning activation functions they used when they train the agent. This paper compares the activation functions when we train our agent for learning how to play a 2D shooting game by using re-enforcement learning. We defined performance metrics to analyze the results and plotted them along a training time. As a result, we found ELU (Exponential Linear Unit) with a parameter 1.0 achieved best rewards than other activation functions. There was 23.6% gap between the best activation function and the worst activation function.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.90-100
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• 2020

Our overall society circulates in line with the economical situations characterized by production and consumption and companies play the role of providing products and services, thus taking very significant responsibilities for the socioeconomical and cultural aspects in society. Therefore, when designers attempt to think of a way to enable companies and society to share their values and propose specific concepts and visualize outcomes, it is very critical to be able to understand economical philosophy and management strategies that interconnect companies with society and seek out proper design approaches. Recently, the world's enterprise and management culture tend to connect products and services provided by companies through chains of social values. Based on the abovementioned shift in the management paradigm, the researcher investigates and analyzes actual cases of attempts by Samsung Electronics to achieve its social impacts and studies actual roles and approaches of in-house designers with creativity and insights of humanity with regard to these attempts. Each case is selected from various fields such as the company's products and service development, business systems, culture, and external strategies and the ultimate goal is to learn about actual insights and approaches of designers to make contributions to the company's management with social impacts. Especially, humanity and creative thinking of many designers working in the manufacturing industry can have significant contributions to achieving its management with social impacts and effects of sustainable management.

• Journal of Korean Society of Rural Planning
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• v.23 no.1
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• pp.157-164
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• 2017

Roadside native vegetation provides important habitat for plants and animals, and provides visual amenity and beauty for drivers and rural areas. In particular, native wildflowers create and maintain attractive landscaping and scenic vistas while help protect and restore the natural environment. However, it is lacking in government policies and guidelines about using native wildflowers for roadside vegetation and alien invasive plants are a major threat to our environment. The purpose of this study is to review the regulations and programs for roadside vegetation, especially native wildflowers in USA in order to learn lessons about developing wildflower policies in Korea. A summary of results follows: (1) the goals of roadside vegetation have been shifted from beautification for pleasant driving experience to sustainable and economical maintenance. (2) Various funds and laws by federal and local government are essential for native wildflower planting and roadside enhancement. (3) Ongoing projects on seed collection and seed banking of native plants are conducted by wildflower research centers to conserve and propagate endangered plants. (4) Recognizing that wildflower viewing holds tremendous potential, increasing local governments try to grow wildflower tourism for economic benefits. In conclusion, we should establish a long-range plan and regulations on roadside wildflowers planting in order to create safe and sustainable transportation corridors in Korea. In addition, more research on wildflower habitat and propagation should be warranted and landscape architects should play a definitive role in providing pleasant driving experiences and promoting wildflower tourism.

• Molecules and Cells
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• v.44 no.5
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• pp.342-355
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• 2021

The microphthalmia-associated transcription factor family (MiT family) proteins are evolutionarily conserved transcription factors that perform many essential biological functions. In mammals, the MiT family consists of MITF (microphthalmia-associated transcription factor or melanocyte-inducing transcription factor), TFEB (transcription factor EB), TFE3 (transcription factor E3), and TFEC (transcription factor EC). These transcriptional factors belong to the basic helix-loop-helix-leucine zipper (bHLH-LZ) transcription factor family and bind the E-box DNA motifs in the promoter regions of target genes to enhance transcription. The best studied functions of MiT proteins include lysosome biogenesis and autophagy induction. In addition, they modulate cellular metabolism, mitochondria dynamics, and various stress responses. The control of nuclear localization via phosphorylation and dephosphorylation serves as the primary regulatory mechanism for MiT family proteins, and several kinases and phosphatases have been identified to directly determine the transcriptional activities of MiT proteins. In different immune cell types, each MiT family member is shown to play distinct or redundant roles and we expect that there is far more to learn about their functions and regulatory mechanisms in host defense and inflammatory responses.

• BMB Reports
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• v.41 no.4
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• pp.278-286
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• 2008

Angiogenesis, the formation of blood vessels, is essential for preparing a closed circulatory system in the body, and for supplying oxygen and nutrition to tissues. Major diseases such as cancer, rheumatoid arthritis, and atherosclerosis include pathological angiogenesis in their malignant processes, suggesting anti-angiogenic therapy to be a new strategy for suppression of diseases. However, until the 1970s, the molecular basis of angiogenesis was largely unknown. In recent decades, extensive studies have revealed a variety of angiogenic factors and their receptors, including vascular endothelial growth factor (VEGF)-VEGFRs, Angiopoietin-Tie, Ephrin-EphRs and Delta-Notch to be the major regulators of angiogenesis in vertebrates. VEGF and its receptors play a central role in physiological as well as pathological angiogenesis, and functional inhibitors of VEGF and VEGFRs such as anti-VEGF neutralizing antibody and small molecules that block the tyrosine kinase activity of VEGFRs have recently been approved for use to treat patients with colorectal, lung, renal and liver cancers. These drugs have opened a novel field of cancer therapy, i.e. anti-angiogenesis therapy. However, as yet they cannot completely cure patients, and cancer cells could become resistant to these drugs. Thus, it is important to understand further the molecular mechanisms underlying not only VEGF-VEGFR signaling but also the VEGF-independent regulation of angiogenesis, and to learn how to improve anti-angiogenesis therapy.

• School Mathematics
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• v.4 no.1
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• pp.79-95
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• 2002

This paper is to make strides toward an enriched understanding of student learning and performance in mathematics that acknowledges the roles social and cultural contexts play in what students learn as well as what we are able to team about student learning. A student's mathematical practice over a year and a half is presented in detail in order to explore the relationships between classroom contexts and student performance. This study was situated at a K-4 urban elementary school in the United States. The data used for this study included classroom observations, interviews with the teachers and the student, and document collection. The data were analyzed by characterizing each classroom context and exploring the student's practice both in the classrooms and in the interviews. Despite the student's ongoing status as a struggling student, there were tremendous changes in his level of engagement in and persistence with mathematical tasks. The student was substantially more engaged in and enthusiastic about the daily mathematics lessons in third grade than he had been in second. However, we found little improvement in his mathematical understanding and performance during class or in the interviews. This highlights that increased engagement in the mathematical tasks does not necessarily signal increased learning. This paper discusses several issues of learning and performance raised by the student, looking at the relationship between classroom context and student performance. This paper also considers implications for how students' performances are interpreted and how learning is assessed.