• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.59 no.4
• /
• pp.779-787
• /
• 2010

In this paper, We introduce electrical tracking generated from surface activity associated with flow of leakage current on insulator under wet and contaminated conditions and design electrical tracking pattern recognition system by using LabVIEW. We measure the leaking current of contaminated wire by using LabVIEW software and the NI-c-DAQ 9172 and NI-9239 hardware. As pattern recognition algorithm and optimization algorithm for electrical tracking system, neural networks, Radial Basis Function Neural Networks(RBFNNs) and particle swarm optimization are exploited. The designed electrical tracking recognition system consists of two parts such as the hardware part of electrical tracking generator, the NI-c-DAQ 9172 and NI-9239 hardware and the software part of LabVIEW block diagram, LabVIEW front panel and pattern recognition-related application software. The electrical tracking system decides whether electrical tracking generate or not on electrical wire.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.39C no.9
• /
• pp.811-819
• /
• 2014

Activity recognition is a key component in identifying the context of a user for providing services based on the application such as medical, entertainment and tactical scenarios. Instead of applying numerous sensor devices, as observed in many previous investigations, we are proposing the use of smartphone with its built-in multimodal sensors as an unobtrusive sensor device for recognition of six physical daily activities. As an improvement to previous works, accelerometer, gyroscope and magnetometer data are fused to recognize activities more reliably. The evaluation indicates that the IBK classifier using window size of 2s with 50% overlapping yields the highest accuracy (i.e., up to 99.33%). To achieve this peak accuracy, simple time-domain and frequency-domain features were extracted from raw sensor data of the smartphone.

• Journal of Korean Society for Quality Management
• /
• v.8 no.1
• /
• pp.25-31
• /
• 1980

This paper describes the role of TQC and its present issues as a management tool, especially in regard of Korean firm's environment. The author, participating in TQC activity for himself, stresses that the introduction and driving programs of TQC activity must include such plans as policy control, reorganization, training, standardization, quality assurance, QC circle activity, office management and auditing. The keypoints and problems in performing these plans are reviewed. And as the future hopeful direction of TQC activity, he remarks that a true recognition of quality control as a management tool in "total" concept and the adoption of industry - wide quality control policy.

• Journal of the Institute of Convergence Signal Processing
• /
• v.11 no.4
• /
• pp.289-297
• /
• 2010

In this paper, A method to prevent the external acoustic noise from being misrecognized as the speech recognition object is presented in the speech activity detection process for the speech recognition. Also this paper confirmed besides the acoustic energy to the lip movement image signals. First of all, the successive images are obtained through the image camera for personal computer and the lip movement whether or not is discriminated. The next, the lip movement image signal data is stored in the shared memory and shares with the speech recognition process. In the mean time, the acoustic energy whether or not by the utterance of a speaker is verified by confirming data stored in the shared memory in the speech activity detection process which is the preprocess phase of the speech recognition. Finally, as a experimental result of linking the speech recognition processor and the image processor, it is confirmed to be normal progression to the output of the speech recognition result if face to the image camera and speak. On the other hand, it is confirmed not to the output the result of the speech recognition if does not face to the image camera and speak. Also, the initial feature values under off-line are replaced by them. Similarly, the initial template image captured while off-line is replaced with a template image captured under on-line, so the discrimination of the lip movement image tracking is raised. An image processing test bed was implemented to confirm the lip movement image tracking process visually and to analyze the related parameters on a real-time basis. As a result of linking the speech and image processing system, the interworking rate shows 99.3% in the various illumination environments.

• Journal of The Korean Association For Science Education
• /
• v.31 no.2
• /
• pp.210-224
• /
• 2011

The purpose of this study is to analyze students' recognition of the free inquiry activity and to investigate what effect the free inquiry activity of the 2007 Revised Educational curriculum revision has on the science inquiry ability of middle school students. To conduct the research we worked with 262 female students, 8 classes of first graders in a middle school. Among them, 4 classes were taught in free inquiry activity and the remaining 4 classes were taught in the traditional way. The results of Likert-questionnaire indicate that students were learning about cooperative spirit through group investigation activities and discussions and did not take the free inquiry activity as a hard activity. Also they showed positive reaction agreeing that this activity is both a helpful method in learning science and interesting. However, it seemed that the investigation tends to flow between the leading 1~2 members of the group and showed difficulty in carrying out the investigation as a group after school hours. It showed there are few problems and obstacles in operating the free inquiry activity. The free inquiry activity did not give any meaningful influence on the improvement of science inquiry ability of students. Integrative inquiry process skills did not give a relevant influence, however, it showed a meaningful influence on the improvement of basic inquiry process skills. Especially, among the low-ranking element of basic inquiry process skills, it enhanced the capacity for prediction.

• Korean Security Journal
• /
• no.3
• /
• pp.175-204
• /
• 2000

In modern society, a spontaneous phenomenon that community residents' participation in crime prevention sphere is increasing now due to the recognition that it is extremely difficult to control crime only by the limited official power(police) is spreading in the society. In the consideration of crime occurrence, the fear of crime does not belong to a certain person any more, but it turns to a matter of common interest for all people. If the recognition of community problems is well understood and analysed, the effect of community residents' participation in crime prevention will appear more eminent and definite. For a long period of time, thanks to the community residents' participation in crime prevention, it has been possible to sustain safety and stability of local community. Ultimately not only the police could reduce the crime problems but local community could decrease a fear of crime. In this study, for maximized effect of crime prevention, it is focused on the role of the community residents' participation in crime prevention. For desirable interrelations among service group and residents, police, first the review of situational crime prevention and community crime prevention theory was studied. And the community residents participation to crime prevention activity in U.S.A, Japan etc was reviewed. By interviewing actual participants in community crime prevention activity, the problems and countermeasures of the community residents' participation in crime prevention activity and desirable direction was suggested

• Journal of East-West Nursing Research
• /
• v.16 no.1
• /
• pp.19-25
• /
• 2010

Purpose: This study was conducted to identify relationships among Yangsaeng, activities of daily living (ADL), and physical activity in the elderly in Korea. Methods: A total of 257 subjects (ranged 60-88 yr of age) was recruited through convenient sampling. Data were collected with a self-reported questionnaire from March 2 through 25, 2009. Collected data were analyzed with SPSS/PC WIN 15.0. Results: The level of Yangsaeng was significantly different according to the level of health recognition (p<.05). The level of ADL was differed significantly according to age, successful aging, cohabitation, and health recognition. Physical activity was also significantly different according to age, educational level, cohabitation, (r=.385; p<.05) and health cognition (p<.05). The level of Yangsaeng was significantly correlated with ADL (r=.448) and physical activity (r=.385; p<.05). Conclusions: These findings help in understanding the health status of community-dwelling elders and suggest that promoting the Yangsaeng can be an effective intervention as a health promotion program for the elderly in Korea.

• Journal of Internet Computing and Services
• /
• v.13 no.2
• /
• pp.87-98
• /
• 2012

Understanding agent's intent is an essential component of the human-computer interaction of ubiquitous computing. Because correct inference of subject's intention in ubiquitous computing system helps particularly to understand situations that involve collaboration among multiple agents or detection of situations that can pose a particular activity. This paper, inspired by people have a mechanism for interpreting one another's actions and for inferring the intentions and goals that underlie action, proposes an approach that allows a computing system to quickly recognize the intent of agents based on experience data acquired through prior capabilities of activities recognition. To proceed intention recognition, proposed method uses formulations of Hidden Markov Models (HMM) to model a system's prior experience and agents' action change, then makes for system infer intents in advance before the agent's actions are finalized while taking the perspective of the agent whose intent should be recognized. Quantitative validation of experimental results, while presenting an accurate rate, an early detection rate and a correct duration rate with detecting the intent of several people performing various activities, shows that proposed research contributes to implement effective intent recognition system.

• Journal of the Korea Convergence Society
• /
• v.11 no.9
• /
• pp.135-142
• /
• 2020

The purpose of this study is to analyze the effectiveness of university convergence curriculum using CIPP model. With 758 data surveys of professors and students participating in K University's convergence education, the analysis of differences according to group characteristics and the factors affecting performance recognition and course satisfaction were analyzed. As a result of analysis, first, class activity(CA) was the highest (M=3.85), and coursework design(CD) was the lowest (M=3.35), and there were significant differences in the course objectives, course content, and class activities according to the characteristics of the group. Second, the factors affecting the performance recognition and course satisfaction of the convergence curriculum were needs analysis, coursework design, learner activity, performance recognition, and course satisfaction. In conclusion, it suggests that from the planning stage, it should be designed to reflect the needs of professors and students, and to improve satisfaction and performance recognition with novel contents and active teaching and learning activities. This study can be used as basic data for improving the quality of the convergence curriculum.

• Journal of Creative Information Culture
• /
• v.7 no.4
• /
• pp.235-242
• /
• 2021

Recently, many human activity recognition(HAR) researches using smartphone sensor data have been studied. HAR can be utilized in various fields, such as life pattern analysis, exercise measurement, and dangerous situation detection. However researches have been focused on recognition of basic human behaviors or efficient battery use. In this paper, exercising activities performed indoors and outdoors were defined and recognized. Data collection and pre-processing is performed to recognize the defined activities by SVM, random forest and gradient boosting model. In addition, the recognition result is determined based on voting class approach for accuracy and stable performance. As a result, the proposed activities were recognized with high accuracy and in particular, similar types of indoor and outdoor exercising activities were correctly classified.