• Title/Summary/Keyword: Training Game

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Improvement of Electroforming Process System Based on Double Hidden Layer Network (이중 비밀 다층구조 네트워크에 기반한 전기주조 공정 시스템의 개선)

  • Byung-Won Min
    • Journal of Internet of Things and Convergence
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    • v.9 no.3
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    • pp.61-67
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    • 2023
  • In order to optimize the pulse electroforming copper process, a double hidden layer BP (Back Propagation) neural network is constructed. Through sample training, the mapping relationship between electroforming copper process conditions and target properties is accurately established, and the prediction of microhardness and tensile strength of the electroforming layer in the pulse electroforming copper process is realized. The predicted results are verified by electrodeposition copper test in copper pyrophosphate solution system with pulse power supply. The results show that the microhardness and tensile strength of copper layer predicted by "3-4-3-2" structure double hidden layer neural network are very close to the experimental values, and the relative error is less than 2.32%. In the parameter range, the microhardness of copper layer is between 100.3~205.6MPa and the tensile strength is between 112~485MPa.When the microhardness and tensile strength are optimal,the corresponding process conditions are as follows: current density is 2A-dm-2, pulse frequency is 2KHz and pulse duty cycle is 10%.

Preliminary Study on the Effects of Virtual Reality-based Cognitive Rehabilitation and Computer-based Cognitive Rehabilitation on Function and Prefrontal Cortex in Convalescent Stroke Patients (가상현실기반 인지재활훈련과 컴퓨터기반 인지재활훈련이 회복기 뇌졸중 환자의 기능과 전전두엽 피질에 미치는 영향에 대한 사전연구)

  • Hyun-Min Lee;Soo-San Kim
    • Journal of the Korean Society of Physical Medicine
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    • v.18 no.2
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    • pp.103-114
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    • 2023
  • PURPOSE: This study compared the effects of computer-based and virtual reality-based cognitive rehabilitation programs on the cognitive function, upper limb function, activities of daily living, and their impact on the prefrontal cortex in convalescent stroke patients. METHODS: Ten recovering stroke patients were assessed for their cognitive function, upper limb function, and daily living activities using the Neurobehavioral Cognitive Status Examination, the Korean version of the Fugl-Meyer Assessment, and the Korean version of the Modified Barthel Index. The prefrontal cortex activity was measured with functional Near Infrared Spectroscopy. The virtual reality-based cognitive rehabilitation group utilized a program of daily living activities delivered via a laptop and Oculus Rift. The computer-based cognitive rehabilitation group performed various cognitive tasks on an all-in-one PC. Both groups underwent cognitive rehabilitation training for 30 minutes per day, three times a week, for six weeks, with identical conventional rehabilitation therapies in the hospital. RESULTS: Both programs positively impacted the cognitive and physical functions. On the other hand, the virtual reality-based cognitive rehabilitation program had a larger influence on improving the cognitive and physical functions of convalescing stroke patients. CONCLUSION: The virtual reality program suggests its potential to enhance cognitive and physical functions in convalescent stroke patients through increased engagement, focus, real-time feedback, and game elements, making it a promising rehabilitation approach.

Haptic System to Provide the Realistic Sensation of Virtual Impact (사실적인 가상 임팩트 감각 전달을 위한 햅틱 시스템)

  • Jechan Jeon;Jaeyoung Park
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.23-29
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    • 2023
  • As an effort to maximize the immersiveness of user experience in virtual reality, there have been constant efforts to provide a user with tactile sensation by providing haptic feedback. Most of the haptic feedback methods, however, can create only limited or unrealistic haptic sensations since they utilize affordable actuators such as a vibrotactile actuator. When it comes to martial arts training or a game, the limitation of such haptic feedback is apparent due to the significant difference between the physical impact of hitting an object and the sensation departed from a vibrotactile actuator. Noting this, we proposed a haptic impact system that can create a haptic impact when the user hits a virtual object with the fist. The haptic interface uses a quick-return mechanism that can deliver haptic impact feedback to a user's fist. The realism of the haptic impact was evaluated by conducting a human-subject experiment. The results indicate a significant effect of haptic feedback on the realism of the virtual impact.

A Study on the Current Rotation System of Hunting Ground (현행(現行) 순환수렵장(循環狩獵場) 제도(制度)에 관(關)한 연구(硏究))

  • Byun, Woo Hyuk
    • Journal of Korean Society of Forest Science
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    • v.74 no.1
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    • pp.47-55
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    • 1986
  • During the past 4 years, I have made a careful analysis of the present rotating system of hunting areas, on the one hand, by asking a group of hunters to fill out a questionnaire, and on the other hand, by referring to the written documents on the subject. And, as a result, it is concluded that this system, by varying the hunting grounds each year, contains in itself several problems as follows. 1. The hunters find it quite inconvenient to use a different hunting ground year after year and they also complain that the present hunting ground charge is more than it is worth. Therefore, it is expected that the number of hunters will explosively increase in the future with the betterment of hunting conditions. 2. The hunters have almost no information about game and they are, as a whole, lacking in the ethics of hunting. 3. The allotment of time in hunting training courses is not so sufficient that it is next to impossible to improve the quality of hunters. 4. As a rule, the population density of wildlife is so sparse that it falls short of the proper standard of it. 5. The present hunting system does not seem to contribute to the advancement of tourism. 6. It is absolutely necessary to make a general survey of the situation of wildlife for the legal protection of it. Besides, the interests of hunters are so closely tied up with those of farmers and foresters that dreastic measures should be taken to settle their conflicting differences. For the purpose of solving the above-mentioned problems and at the same time, of developing sound hunting practices in the long run, I hereby make two suggestions. 1. The Establishment of the Hunting License Test System It is desirable to issue a license to a prospective hunter after he has met a special qualification and then passed a test so that he may have bits of information needed for his hunting activities. 2. The Introduction of The Revier System The fundamental concept of this system is based on the assumption that the private landowner should reserve a right to the pursuit of game and take responsibility for wildlife management.

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Research on the movement following a badminton stroke (배드민턴 스트로크 이후 대응 동작에 관한 연구)

  • Song, Joo-Ho;Kim, Kee-Hyun;Park, Jong-Chul
    • Journal of Digital Convergence
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    • v.12 no.9
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    • pp.465-474
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    • 2014
  • This research aimed to enhance the effects of training through the use of infrared cameras located at anterior and posterior positions. The results were as follows. In the case of the smash, the impact time needed to be adjusted to raise their impact point. The smash of S1, on the other hand, was a step smash, which showed the fastest racquet head speed and the greatest transmission of power upon impact. As the max racquet speed upon impact and during speed was similar, S1 showed the best impact time. All athletes except S6 were shown to use their right foot as their 1 step that was located in front upon landing, using a hop step as their first step. For the best swing upon stroke, it is important to make the best conditions possible for the use of elbow joints and wrist joints. The rotating radius of the racquet should be big and the shuttlecock should be fast. Balance is important in footwork, or the coordinated movement of the feet. Without a correct step it is difficult to execute an efficient stroke. In an actual game, steps need to be executed in 2 to 4 steps, and programs focusing on steps according to situation, agility and reaction need to be executed.

Survey and Analysis on Computer Using Ability of Early Childhood for Developing Educational Software (교육용 소프트웨어 개발을 위한 영유아 컴퓨터 활용 능력에 대한 실태조사 분석)

  • Choung, Hye-Myoung;Song, Joo-Seung
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.10
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    • pp.209-220
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    • 2010
  • In this study, a survey was carried out to investigate status of children's computer use and their ability by gender and age. The objects of the survey were kids at a day care center in Gimpo where students of the early childhood education department of K university had practical training for a month. 378 questionnaire were collected excepting those with insincere or inconsistent responses, and among them, According to the results of this study, girls use computers more often than boys for educational purposes such as learning how to read and write Korean language and numbers and foreign languages, and also learning music and arts. On the other hand, boys use computers more often than girls for entertainment like cartoon movies and games. In terms of computer using ability such as understanding instructions, manipulation of functions, drawing pictures, chatting and e-mail, internet shopping, homepage making, girls have higher ability than boys while boys are significantly superior to girls in the ability to play computer games. The analytical results show that application programs of the childhood education is desirable for boys to use for the sake of arousing the interest and for the game and for girls to use at the part of music and arts. According to ages, for 1-2 years children, they needs the AP with a delicate person having the computer knowledge, for 3-4 years children, they need AP with some little help, for 6-7 years, they need the AP to do themselves according to sex and age.

Cooperative Multi-Agent Reinforcement Learning-Based Behavior Control of Grid Sortation Systems in Smart Factory (스마트 팩토리에서 그리드 분류 시스템의 협력적 다중 에이전트 강화 학습 기반 행동 제어)

  • Choi, HoBin;Kim, JuBong;Hwang, GyuYoung;Kim, KwiHoon;Hong, YongGeun;Han, YounHee
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.8
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    • pp.171-180
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    • 2020
  • Smart Factory consists of digital automation solutions throughout the production process, including design, development, manufacturing and distribution, and it is an intelligent factory that installs IoT in its internal facilities and machines to collect process data in real time and analyze them so that it can control itself. The smart factory's equipment works in a physical combination of numerous hardware, rather than a virtual character being driven by a single object, such as a game. In other words, for a specific common goal, multiple devices must perform individual actions simultaneously. By taking advantage of the smart factory, which can collect process data in real time, if reinforcement learning is used instead of general machine learning, behavior control can be performed without the required training data. However, in the real world, it is impossible to learn more than tens of millions of iterations due to physical wear and time. Thus, this paper uses simulators to develop grid sortation systems focusing on transport facilities, one of the complex environments in smart factory field, and design cooperative multi-agent-based reinforcement learning to demonstrate efficient behavior control.

The development of a bluetooth based portable wireless EEG measurement device (블루투스 기반 휴대용 무선 EEG 측정시스템의 개발)

  • Lee, Dong-Hoon;Lee, Chung-Heon
    • Journal of IKEEE
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    • v.14 no.2
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    • pp.16-23
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    • 2010
  • Since the interest of a brain science research is increased recently, various devices using brain waves have been developed in the field of brain training game, education application and brain computer interface. In this paper, we have developed a portable EEG measurement and a bluetooth based wireless transmission device measuring brain waves from the frontal lob simply and conveniently. The low brain signals about 10~100${\mu}V$ was amplified into several volts and low pass, high pass and notch filter were designed for eliminating unwanted noise and 60Hz power noise. Also, PIC24F192 microcontroller has been used to convert analog brain signal into digital signal and transmit the signal into personal computer wirelessly. The sampling rate of 1KHz and bluetooth based wireless transmission with 38,400bps were used. The LabVIEW programing was used to receive and monitor the brain signals. The power spectrum of commercial biopac MP100 and that of a developed EEG system was compared for performance verification after the simulation signals of sine waves of $1{\mu}V$, 0~200Hz was inputed and processed by FFT transformation. As a result of comparison, the developed system showed good performance because frequency response of a developed system was similar to that of a commercial biopac MP100 inside the range of 30Hz specially.

A Study of Artificial Intelligence Learning Model to Support Military Decision Making: Focused on the Wargame Model (전술제대 결심수립 지원 인공지능 학습방법론 연구: 워게임 모델을 중심으로)

  • Kim, Jun-Sung;Kim, Young-Soo;Park, Sang-Chul
    • Journal of the Korea Society for Simulation
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    • v.30 no.3
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    • pp.1-9
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    • 2021
  • Commander and staffs on the battlefield are aware of the situation and, based on the results, they perform military activities through their military decisions. Recently, with the development of information technology, the demand for artificial intelligence to support military decisions has increased. It is essential to identify, collect, and pre-process the data set for reinforcement learning to utilize artificial intelligence. However, data on enemies lacking in terms of accuracy, timeliness, and abundance is not suitable for use as AI learning data, so a training model is needed to collect AI learning data. In this paper, a methodology for learning artificial intelligence was presented using the constructive wargame model exercise data. First, the role and scope of artificial intelligence to support the commander and staff in the military decision-making process were specified, and to train artificial intelligence according to the role, learning data was identified in the Chang-Jo 21 model exercise data and the learning results were simulated. The simulation data set was created as imaginary sample data, and the doctrine of ROK Army, which is restricted to disclosure, was utilized with US Army's doctrine that can be collected on the Internet.

Character Motion Control by Using Limited Sensors and Animation Data (제한된 모션 센서와 애니메이션 데이터를 이용한 캐릭터 동작 제어)

  • Bae, Tae Sung;Lee, Eun Ji;Kim, Ha Eun;Park, Minji;Choi, Myung Geol
    • Journal of the Korea Computer Graphics Society
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    • v.25 no.3
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    • pp.85-92
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    • 2019
  • A 3D virtual character playing a role in a digital story-telling has a unique style in its appearance and motion. Because the style reflects the unique personality of the character, it is very important to preserve the style and keep its consistency. However, when the character's motion is directly controlled by a user's motion who is wearing motion sensors, the unique style can be discarded. We present a novel character motion control method that uses only a small amount of animation data created only for the character to preserve the style of the character motion. Instead of machine learning approaches requiring a large amount of training data, we suggest a search-based method, which directly searches the most similar character pose from the animation data to the current user's pose. To show the usability of our method, we conducted our experiments with a character model and its animation data created by an expert designer for a virtual reality game. To prove that our method preserves well the original motion style of the character, we compared our result with the result obtained by using general human motion capture data. In addition, to show the scalability of our method, we presented experimental results with different numbers of motion sensors.