• Journal of the Korean Society for Precision Engineering
• /
• v.33 no.9
• /
• pp.753-760
• /
• 2016

This study was undertaken to develop a bed-type cycling system of lower limbs for rehabilitation. This system consists of two modes of cycling: active and passive. Different velocity and loads are provided for improving the muscle function recovery and increasing the muscular strength. To analyze the muscle activity pattern, we measured muscular activity of lower limbs in the rectus femoris (RF), biceps femoris (BF), tibialis anterior (TA), medial gastrocnemius (MG), and soleus (SOL), while cycling in the supine position, and based on the pedaling direction. A total of 18 young and 23 elderly, healthy subjects participated in this study. Muscle activity of MG muscles was significantly different in the two age groups. This study could provide the reference data to develop cycling exercises for lower limbs during rehabilitation of the elderly patients.

• International Journal of Computer Science & Network Security
• /
• v.23 no.8
• /
• pp.177-189
• /
• 2023

Malware detection is an increasingly important operational focus in cyber security, particularly given the fast pace of such threats (e.g., new malware variants introduced every day). There has been great interest in exploring the use of machine learning techniques in automating and enhancing the effectiveness of malware detection and analysis. In this paper, we present a deep recurrent neural network solution as a stacked Long Short-Term Memory (LSTM) with a pre-training as a regularization method to avoid random network initialization. In our proposal, we use global and short dependencies of the inputs. With pre-training, we avoid random initialization and are able to improve the accuracy and robustness of malware threat hunting. The proposed method speeds up the convergence (in comparison to stacked LSTM) by reducing the length of malware OpCode or bytecode sequences. Hence, the complexity of our final method is reduced. This leads to better accuracy, higher Mattews Correlation Coefficients (MCC), and Area Under the Curve (AUC) in comparison to a standard LSTM with similar detection time. Our proposed method can be applied in real-time malware threat hunting, particularly for safety critical systems such as eHealth or Internet of Military of Things where poor convergence of the model could lead to catastrophic consequences. We evaluate the effectiveness of our proposed method on Windows, Ransomware, Internet of Things (IoT), and Android malware datasets using both static and dynamic analysis. For the IoT malware detection, we also present a comparative summary of the performance on an IoT-specific dataset of our proposed method and the standard stacked LSTM method. More specifically, of our proposed method achieves an accuracy of 99.1% in detecting IoT malware samples, with AUC of 0.985, and MCC of 0.95; thus, outperforming standard LSTM based methods in these key metrics.

• Archives of design research
• /
• v.12 no.4
• /
• pp.53-60
• /
• 1999

Nowdays many people using and learning 3D Software. However, like artists drawing by brush, that most of designers misunderstood that 3D Software is cover everything as a tool. This sort of situation, change of 3D Software will come to the front very seriously. It can be result about lack of understanding 3D in general and some kind of illusion about 3D Software. These were changing like training school that was teaching only function for technique. Therefore, to prevent above things, this research paper will be based on a conception, that compare with 3D which called cyber space and the real world. That is explanation of construction about 3D Software generally, that will basis how does people think about the world. It function of 3D Software will take concrete shape gradually, which is after general description and understanding and the users will be quick to understand, no need to difficult of access for beginners. In addition, higher education ay university is no longer training center. Lastly, it will be able to capability as an essentially figure. Nowdays many people using and learning 3D Software. However, like artists drawing by brush, that most of designers misunderstood that 3D Software is cover everything as a tool. This sort of situation, change of 3D Software will come to the front very seriously. It can be result about lack of understanding 3D in general and some kind of illusion about 3D Software. These were changing like training school that was teaching only function for technique. Therefore, to prevent above things, this research paper will be based on a conception, that compare with 3D which called cyber space and the real world. That is explanation of construction about 3D Software generally, that will basis how does people think about the world. If function of 3D Software will take concrete shape gradually, which if after general description and understanding and the users will be quick to understand, no need to difficult of access for beginners. In addition, higher education ay university is no longer training center. Lastly, it will be able to capability as an essentially figure.

• Journal of Biomedical Engineering Research
• /
• v.36 no.5
• /
• pp.228-234
• /
• 2015

The balance ability significantly decreased in the elderly because of deterioration of the neural musculature regulatory mechanisms. Several studies have investigated methods of improving balance ability using real-time systems, but it is limited by the expensive test equipment and specialized resources. Recently, Kinect system based on depth data has been applied to address these limitations. Little information about accuracy/inaccuracy of Kinect system is, however, available, particular in motion analysis for evaluation of effectiveness in rehabilitation training. Therefore, the aim of the current study was to evaluate accuracy/inaccuracy of Kinect system in specific rotational movement for balance rehabilitation training. Six healthy male adults with no musculoskeletal disorder were selected to participate in the experiment. Movements of the participants were induced by controlling the base plane of the balance training equipment in directions of AP (anterior-posterior), ML (medial-lateral), right and left diagonal direction. The dynamic motions of the subjects were measured using two Kinect depth sensor systems and a three-dimensional motion capture system with eight infrared cameras for comparative evaluation. The results of the error rate for hip and knee joint alteration of Kinect system comparison with infrared camera based motion capture system occurred smaller values in the ML direction (Hip joint: 10.9~57.3%, Knee joint: 26.0~74.8%). Therefore, the accuracy of Kinect system for measuring balance rehabilitation traning could improve by using adapted algorithm which is based on hip joint movement in medial-lateral direction.

• International Journal of Human Ecology
• /
• v.17 no.2
• /
• pp.1-15
• /
• 2016

This is a descriptive study that introduces programs that support family caregivers looking after the elderly, by focusing on the case of Georgia, in the United States. The U.S. is one of the few countries that support family caregivers by law. In this study, we focus on the evidence-based interventions implemented through the Alzheimer's Disease Supportive Services Program (ADSSP), a federal policy that complements the National Family Caregiver Support Program (NFCSP). Our findings show that one-on-one evidence-based programs (EBPs) for family caregivers are both economical and effective in assisting caregivers. In our discussion, we highlight how the implementation of the latest EBPs can build an infrastructure to support family caregivers. ADSSP funding is useful as it constructs a caregiver support through the implementation of programs in the local community. The result is the creation of a well-coordinated division of labor among government agencies, academia and NGOs, which produces a synergetic effect in funding, research and development, translation and implementation of programs, and staff training. We conclude that the implementation of EBPs funded by the government is a useful reference for Korea and other rapidly aging countries, if we are to create an infrastructure for caregiver support, which can effectively prevent a crisis in caregiving.

• Korea Journal of Hospital Management
• /
• v.14 no.4
• /
• pp.124-148
• /
• 2009

Objectives : The purpose of this study was to investigate influencing factors on physician's intention to use cyber salesperson(cSP) to promote ethical drugs of pharmaceutical company. We considered influencing factors based on technology acceptance model(TAM) such as usefulness, easy of use, and attitude about cSP, and included trust and joyfulness of cSP. Methods : Measure items were developed from the previous studies. Data were collected from 1,012 physicians by using web-based self-administered structured questionnaire. Results : The major findings were as follows; First, attitude and intention to use cSP were not significantly varied by socio-demographic variables, such as sex, age, location, and Internet surfing time per day. Also, physician's characteristics such as training and professional level and type of employment were not significant to the variation of attitude and intention to use cSP. Second, structural equation modeling(SEM) analysis shows that usefulness and joyfulness were influencing factors of intention to use. Attitude was revealed as significant mediating factor to intention to use. Usefulness has indirect effect on intention to use via attitude. However, trust has not significant effect on intention to use, due to suppression effect. Conclusions : This results implies that cSP will be a useful agent to promote the ethical drugs to physician. Usefulness and joyfulness should be considered as important factors in designing and operating cSP in the Internet.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.6
• /
• pp.3714-3724
• /
• 2014

A structured group program was implemented to facilitate mindfulness and self-compassion through a short meditation practices and its effects on the emotional well-being of counseling psychology students at a cyber university were observed. The participants attended a 4-week group program. Twenty-five total participants completed pre- and post-treatment measures of depression, psychological well-being, positive and negative emotions, mindfulness, and self-compassion. This program could provide a useful experiential introduction to mindfulness and self-compassion training for counseling undergraduate psychology students. Future studies should address the effects of practice on the mindfulness and self-compassion in larger student groups exposed to a range of stressful situations.

• Journal of Digital Convergence
• /
• v.10 no.4
• /
• pp.159-165
• /
• 2012

In this paper, the qualification process to target trainees of 200 questionnaires collected 158 call was using the SPSS 18.0 statistical program was statistical results are as follows. First, the demographic characteristics of 158 people a total of 146 people men (92.4%) were 30 and 40 adults. Second, according to gender for women than men showed high satisfaction of sayibeogang. More than a college education group showed a high level of satisfaction. Depending on the marital satisfaction of married people was higher sayibeogang. In addition, cyber-lecture on satisfaction surveys women, highly educated, married, educated in the group were satisfied. 74.5% of total variance, variance, with 88.7 percent reliability was very high reliability. Thus, students' demographic variables, motivation, learning to fit in the field of instructional design and content to support the various efforts will be.

• Journal of Practical Engineering Education
• /
• v.10 no.1
• /
• pp.25-33
• /
• 2018

As the IT industry develops, The field of e-learning based on existing theoretical subjects has expanded to fields requiring actual education. Courses that require practical training in e-learning must be evaluated to have learning outcomes through on-line practice. In this research, a student at Cyber University mechatronics engineering studies 'PLC Control' and 'Servo Motor Control', which are subjects of the undergraduate major, through 'Prime College's CyberLAB' for learning by e-learning investigated whether there was a learning result. For this reason, CyberLAB was conducted. And for the students who took the course for two years, We confirmed through the 5 - point scale questionnaire and grades that the practical subjects had a significant effect on e - learning.

• Journal of Internet Computing and Services
• /
• v.23 no.1
• /
• pp.87-93
• /
• 2022

Since 99% of PCs operating in the defense domain use the Windows operating system, detection and response of Window-based malware is very important to keep the defense cyberspace safe. This paper proposes a model capable of detecting malware in a Windows PE (Portable Executable) format. The detection model was designed with an emphasis on rapid update of the training model to efficiently cope with rapidly increasing malware rather than the detection accuracy. Therefore, in order to improve the training speed, the detection model was designed based on a Bidirectional LSTM (Long Short Term Memory) network that can detect malware with minimal sequence data without complicated pre-processing. The experiment was conducted using the EMBER2018 dataset, As a result of training the model with feature sets consisting of three type of sequence data(Byte-Entropy Histogram, Byte Histogram, and String Distribution), accuracy of 90.79% was achieved. Meanwhile, it was confirmed that the training time was shortened to 1/4 compared to the existing detection model, enabling rapid update of the detection model to respond to new types of malware on the surge.