• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.923-932
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• 2024

The purpose of this study is to explore the direction of teaching and learning in the era of science and technology. The conclusion is as follows: From the perspective of new materialism, the direction of teaching and learning first emphasizes the importance of learning experience. Second, a teaching method that emphasizes giving meaning is needed. Third, there is a need to consider various perspectives and backgrounds. The direction of teaching and learning in the era of phenomenology is, first, the meaning and meaning of learning is important. Second, it emphasizes the role of independent learners. Third, diverse experiences must be integrated. Fourth, a flexible approach is needed depending on the environment and situation. Rather than a fixed teaching method, it is necessary to use a variety of teaching strategies according to the situation and needs of the learner. From the perspective of actor network theory, the direction of teaching and learning needs to first embrace a variety of actors. Second, there is a need to understand the role of the mediator actor. Third, there is a need to emphasize the dynamic aspect of the network. Fourth, there is a need to emphasize interaction and giving meaning. Fifth, there is a need to strengthen interaction with technology. Sixth, there is a need to create a non-linear and open learning environment. The direction of society and teaching and learning presented in Trend Korea 2024 considers time as a precious resource in a divided society, and teaching and learning must adapt and develop in a useful direction in a changing environment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.4B
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• pp.346-353
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• 2011

Routing schemes that service applications with various delay times, maintaining the long network life time are required in wireless sensor & actor networks. However, it is known that network lifetime and hop count of trees used in routing methods have the tradeoff between them. In this paper, we propose a Pareto Ant Colony Optimization algorithm to find the Pareto tree set such that it optimizes these both tradeoff objectives. As it enables applications which have different delay times to select appropriate routing trees, not only satisfies the requirements of various multiple applications but also guarantees long network lifetime. We show that the Pareto tree set found by proposed algorithm consists of trees that are closer to the Pareto optimal points in terms of hop count and network lifetime than minimum spanning tree which is a representative routing tree.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.1-10
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• 2023

The purpose of this study is to explore ways to nurture creative and fusion-type talents centered on ANT. In order to nurture creative and convergence-type talents centered on ANT, first, it is necessary to utilize Kao's Law in the network formation stage. Second, it is necessary to utilize the strong power of weak ties in the network formation stage. Third, in order to cause a stir in the stage of raising questions among the four stages of translation, the ability to ask questions must be developed. Fourth, education in various creative problem-solving techniques is needed to throw a stir. Fifth, in order to successfully intervene in the second stage of the four stages of translation, the stage of attracting attention, communication and critical thinking skills must be trained. Suggestions for follow-up research are: First, it is necessary to compare and analyze the four stages of translation and the stage of the creative problem-solving model presented by ANT. Second, it is expected that there will be follow-up studies that apply specific cases centering on ANT.

• Asian review of World Histories
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• v.4 no.1
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• pp.83-123
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• 2016

We describe a vision of historical analysis at the world scale, through the digital assembly of historical sources into a cloud-based database, where machine-learning techniques can be used to summarize the database into a time-integrated actor-to-actor complex network. Using this time-integrated network as a template, we then apply the method of automatic narratives to discover key actors ('who'), key events ('what'), key periods ('when'), key locations ('where'), key motives ('why'), and key actions ('how') that can be presented as hypotheses to world historians. We show two test cases on how this method works. To accelerate the pace of knowledge discovery and verification, we describe how historians would interact with these automatic narratives through an online, map-based knowledge aggregator that learns how scholars filter information, and eventually takes over this function to free historians from the more important tasks of verification, and stitching together coherent storylines. Ultimately, multiple coherent storylines that are not necessary compatible with each other can be discovered through human-computer interactions by the map-based knowledge aggregator.

• ETRI Journal
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• v.39 no.2
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• pp.202-212
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• 2017

With the advent of the Internet-of-Things paradigm, the amount of data production has grown exponentially and the user demand for responsive consumption of data has increased significantly. Herein, we present DART, a fast and lightweight stream processing framework for the IoT environment. Because the DART framework targets a geospatially distributed environment of heterogeneous devices, the framework provides (1) an end-user tool for device registration and application authoring, (2) automatic worker node monitoring and task allocations, and (3) runtime management of user applications with fault tolerance. To maximize performance, the DART framework adopts an actor model in which applications are segmented into microtasks and assigned to an actor following a single responsibility. To prove the feasibility of the proposed framework, we implemented the DART system. We also conducted experiments to show that the system can significantly reduce computing burdens and alleviate network load by utilizing the idle resources of intermediate edge devices.

• The Journal of Korea Robotics Society
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• v.4 no.3
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• pp.177-184
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• 2009

This paper presents an active assisted-living system in wireless sensor and actor network (WSAN) in which the mobile robot roles an actor. In order to provide assisted-living service to the elderly people, position recognition of the sensor node attached on the user and localization of the mobile robot should be performed at the same time. For the purpose, we use received signal strength indication (RSSI) to find the position of the person and ubiquitous sensor nodes including ultrasonic sensor which performs both transmission of sensor information and localization like global positioning system. Active services are moving to the elderly people by detecting activity sensor and visual tracking and voice chatting with remote monitoring system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.37-40
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• 2019

On this paper, we show the way of forming graph data structure via setting an edge between Korean actors if they appeared in the same movie. From this graph, we calculate the 'centralities' (which declared on this paper) for each actor, then examine distribution by ranking the actors of the centralities and analyze the change of the actor who is/was center on the graph by years. Finally, we suggest the way that sets the numerically Range limits on social group.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.192-198
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• 2024

This paper investigates the application of multi-agent deep reinforcement learning in the fighting game Samurai Shodown using Proximal Policy Optimization (PPO) and Advantage Actor-Critic (A2C) algorithms. Initially, agents are trained separately for 200,000 timesteps using Convolutional Neural Network (CNN) and Multi-Layer Perceptron (MLP) with LSTM networks. PPO demonstrates superior performance early on with stable policy updates, while A2C shows better adaptation and higher rewards over extended training periods, culminating in A2C outperforming PPO after 1,000,000 timesteps. These findings highlight PPO's effectiveness for short-term training and A2C's advantages in long-term learning scenarios, emphasizing the importance of algorithm selection based on training duration and task complexity. The code can be found in this link https://github.com/Lexer04/Samurai-Shodown-with-Reinforcement-Learning-PPO.

• Journal of Science and Technology Studies
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• v.9 no.1
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• pp.89-127
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• 2009

The Korean Astronaut Project(KAP) aims to make the first Korean astronaut fly and take part in space activities in the International Space Station(ISS) in April 2008. KAP was on the purpose of studying the requirement to master manned space technologies as part of the long-term basic plan for national space development. However, people criticized that Ms. Yi was a 'space tourist' not an 'astronaut' because KAP was a program for pride, prestige in 21c's new space race, not specifically science and technology. The government emphasized that Yi carried out her 15 experiments in ISS very competently. In contrast people devaluated Yi's space experiments as below the level, though some of them are enough meaningful to be published on SCI journals. Why did the government fail to make people take Ms. Yi as an astronaut? I answer to this question using the notion of "Network Analysis" based on Actor-Network Theory(ANT).

• Korean journal of communication and information
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• v.67
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• pp.62-87
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• 2014

The purpose of this study is to understand the social and cultural implication of the activities of taking 'selfies' and the use of Social Network Service(SNS)s through the personal story of a 20s female researcher. She analyzes her own digital photography activities based on the experience of the use of Cyworld photo albums for three years and the use of pictures in iPhone album for fifteen months. The other researcher(40s male) cooperates to answer the questions about how to understand the digital photography activities. We understand the digital photography activities including digital cameras, social network services and smart phones as acts of personal identity configuration and acts of making the personal documentary. As a result, digital photos are used more for archive purpose rather than for document purpose. Also, we found that the digital photography activities can be understood as the interactions between human and non-human actors in the perspective of Actor-Network Theory (ANT).