• Journal of Families and Better Life
• /
• v.29 no.2
• /
• pp.39-50
• /
• 2011

The purpose of this study is to analyze the research trends in articles on parenting stress published in Korean academic journals. Between 1996 and 2010, 116 articles on parenting stress were published in 16 reliable journals in Korea. This study analyzed research frequency, contents and methodology. Results show that the number of studies has increased during the years. Most studies used methods categorized as quantitative data and cross-sectional surveys. The most frequently used measurement scale was Abidin's Parenting Stress Index. Many were analyze by using regression. The main content of these studies were the factor related to parenting stresses and the relationship between the factors and parenting stress.

• Electronics and Telecommunications Trends
• /
• v.33 no.5
• /
• pp.13-23
• /
• 2018

Deep learning is a promising solution to a number of complex problems based on its inherent capability to approximate almost all types of functions without the demand for handcrafted feature extraction. New wireless transmission and access schemes based on deep learning are being increasingly proposed as substitutes for existing approaches, providing a lower complexity and better performance gain. Among such schemes, a communications system is viewed as an end-to-end autoencoder. The learning process applied in autoencoders can automatically deal with some nonlinear or unknown properties in communications systems. Deep learning can also be used to optimize each processing block for required tasks such as channel decoding, signal detection, and multiple access. On top of recent related research trends, we suggest appropriate research approaches for communications systems to adopt deep learning.

• Electronics and Telecommunications Trends
• /
• v.34 no.4
• /
• pp.1-14
• /
• 2019

Recent trends in deep reinforcement learning (DRL) have revealed the considerable improvements to DRL algorithms in terms of performance, learning stability, and computational efficiency. DRL also enables the scenarios that it covers (e.g., partial observability; cooperation, competition, coexistence, and communications among multiple agents; multi-task; decentralized intelligence) to be vastly expanded. These features have cultivated multi-agent reinforcement learning research. DRL is also expanding its applications from robotics to natural language processing and computer vision into a wide array of fields such as finance, healthcare, chemistry, and even art. In this report, we briefly summarize various DRL techniques and research directions.

• Electronics and Telecommunications Trends
• /
• v.37 no.1
• /
• pp.53-62
• /
• 2022

With increasing size of transformer-based neural networks, a light-weight algorithm and efficient AI accelerator has been developed to train these huge networks in practical design time. In this article, we present a survey of state-of-the-art research on the low-precision computational algorithms especially for floating-point formats and their hardware accelerator. We describe the trends by focusing on the work of two leading research groups-IBM and Seoul National University-which have deep knowledge in both AI algorithm and hardware architecture. For the low-precision algorithm, we summarize two efficient floating-point formats (hybrid FP8 and radix-4 FP4) with accuracy-preserving algorithms for training on the main research stream. Moreover, we describe the AI processor architecture supporting the low-bit mixed precision computing unit including the integer engine.

• Electronics and Telecommunications Trends
• /
• v.37 no.1
• /
• pp.21-31
• /
• 2022

Human behavior and emotions are influenced by experiences accumulated through the past and present. To realize artificial intelligence technology that understands and sympathizes with humans, cognitive computing technology that automatically analyzes human behaviors, habits, and emotions associated with specific situations and uses past data and domain knowledge is required. In this study, we examine the latest research trends on human-understanding cognitive computing technology that recognizes human behavior and emotions, stores them as experience data, and provides services by analyzing the stored data. Further, we introduce high-quality data collection research in real-life and services for improving physical and mental health. We also review key issues essential for developing these technologies.

• Journal of East-West Nursing Research
• /
• v.16 no.2
• /
• pp.85-95
• /
• 2010

Purpose: This study aimed to identify major trends and characteristics of studies on aromatherapy in Korea. Methods: Literature on the studies of aromatherapy in Korea was retrieved using RISS, KISS, DBpia, and Pubmed. The studies were analyzed based on publication year, study design, intervention method, and measuring variables. The level of applied intervention was assessed by target group, the types of aroma, and their effects. Results: A total of 111 studies was included in this study. Most of studies on aromatherapy were conducted using a experimental design to test the effects of aromatherapy as a nursing interventions. Conclusion: This study showed that methods of mixing oils, sites of massage, and target groups vary among studies on aromatherapy in Korea. It is suggestive that standardized methods to mix oils and to apply aroma is in need.

• Educational Technology International
• /
• v.15 no.2
• /
• pp.171-199
• /
• 2014

Educational technology (ET) and learning sciences (LS) are two related disciplines that have shared interests in studying technologies for advancing human learning. This study conducted a content analysis of articles published in authoritative academic journals, Educational Technology Research and Development (ETR&D) and Journal of the Learning Sciences (JLS) from 2003 to 2012. By selecting and examining 93 issues with 429 articles during this decade with three analytical frameworks, the purpose of this study is to determine research trends precisely and create a scientific communication and theoretical connections for these two disciplines. The illustrated results indicate the dialogue between these two communities has begun yet accompanied by some certain limitations, whereas, they still need be more cooperative and communicational to move towards further integration, so as to contribute to promoting progressive education, learning theory and practice.

• Electronics and Telecommunications Trends
• /
• v.39 no.1
• /
• pp.74-82
• /
• 2024

Music is a means of emotional expression and self-expression. In addition, it allows to interact with others and communicate with the world. Music may be considered as inaccessible for people with hearing impairment, who are sometimes discriminated from the music community. We explore trends in various technologies and research that enable everyone to access and enjoy music through experiences that leverage new and innovative technological approaches and bridge the gap between people with and without hearing impairment. Various aspects of haptic systems are being studied, but most of them are performance-oriented and focus only on technical functions. As research matures, more detailed and new studies that converge with various senses are being attempted. These studies will likely evolve into influential research areas that can positively affect the lives of people in terms of accessibility and inclusion by providing detailed functions and stimuli to specific users, including those with hearing impairment.

• Electronics and Telecommunications Trends
• /
• v.39 no.2
• /
• pp.103-103
• /
• 2024

• Journal of Forest and Environmental Science
• /
• v.34 no.2
• /
• pp.169-172
• /
• 2018

National parks are designated and managed for the purpose of preserving natural ecosystems, nature and cultural scenery, and promoting sustainable utilization in Korea. Since we designated Jirisan as the first Korean national park in 1967, we have now designated and managed 22 national parks. Because these national parks are the core protected areas of the nation and the ecological recreation center for the people, the interests of researchers related to national parks and citizens have steadily increased over the last 50 years. Especially, various natural science researches and social studies on national parks have been conducted with the launch of the Korea National Park Service in 1987, which is dedicated to national park management. However, we still lack research on national park research trends in Korea in spite of the increase in scientific research and public interest. It is important to know who and what institutes are leading national parks research, what research topics have been conducted, what kinds of researches are important in each national park, and how these researches relate to national park management policies. We propose a study to review the national parks related studies that have been carried out so far and identify the research trends. In the pilot study, we collected about 700 research papers on national parks published between 2002 and 2016 through the Korea Citation Index of Korean journals. We are analyzing the number of papers published, research institutes and research topics related to national parks. Analysis of these national park research trends will be necessary for efficient national park management and policy making for future generations.