• Journal of Korean Home Economics Education Association
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• v.17 no.4 s.38
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• pp.117-131
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• 2005

The purpose of this research was to develop objectives of Housing contents in Technology$\cdot$Home Economics by three systems of action and to find out the importance of the objectives of the teachers have taught the class. The 303 teachers from 183 middle schools replied the mail questionnaire during September, 2003. The data were analyzed by SPSS/win. The 21 objectives for each system of action were developed based on the textbooks, teachers guides, and other related references. The importance of the objectives related to communicative system of action was the highest, respectively followed by the ones related to technical and emancipatory systems of action. Indoor Environment & Equipment was more likely to be important than Maintenance & Repairs as the objectives related to communicative system of action, while Usage of Living Space was less likely to be important than the other two sub-units. The importance of the objectives was somewhat differed by the general characteristics of the teachers. The older are the more important the objectives related to technical system of action. Female, Home Economics teachers, who learned philosophy of Home Economics were more likely to think than others objectives related to communicative and emancipatory systems of action to be important. This research showed the teachers' perspectives of the objectives of Housing contents were not the same among respondents and generally supported the previous results from other contents of Home Economics.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06b
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• pp.455-459
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• 2010

본 논문에서는 운전자의 운전 패턴에 따른 연료 소비량을 감소하는 ECO_Driving에서 효율적으로 방법을 제안하였다. 이 ECO-Driving 시스템은 차량의 정확한 상태 정보를 바탕으로 운전 상태를 운전자에게 제공하여 경제운전 행동으로 배기가스 감축, 에너지절약을 유도하였다. 차량의 상태정보를 추출하기 위해서 차량 네트워크인 CAN 버스를 사용하였으며, 이를 하드웨어로 구현하였다. 효율적인 ECO_Driving을 위한 차량 데이터들을 추출하여 분석하였으며, 이들 데이터를 바탕으로 운전자에게 에코여부를 제공하는 프로그램을 구현하였다. 제한적인 실험이었지만 연비를 감소하는 것을 확인할 수 있었다.

• Journal of Venture Innovation
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• v.6 no.4
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• pp.63-81
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• 2023

The purpose of this study was to utilize the Photovoice qualitative research method targeting university students. Through this method, we aimed to understand the perceptions of environmental issues, environmental barriers, and eco-friendly behaviors among university students. By employing the Photovoice methodology, we sought to share the perspectives of university students on eco-friendly behaviors, explore the motivations and manifestations of these behaviors, and reflect on their significance. The ultimate goal was to provide practical suggestions for fostering eco-friendly behaviors through an in-depth examination of the visual narratives and reflections of university students. Under the overarching theme of the environment, participants were given the opportunity to individually select and explore three specific sub-themes: 'My Concept of the Environment,' 'Environmental Barriers in My Life,' and 'My Eco-friendly Behaviors.' Participants engaged in the process of capturing photographs from their daily lives related to each theme, expressing their thoughts and perspectives through the selected images. Subsequently, they shared and discussed their insights, actively listening to the opinions of others in the group. The results of this study revealed several key findings. Firstly, participants assigned meaning to the photographs they selected by directly capturing aspects related to the environment, such as 'waste,' 'discomfort,' 'fine dust=environmental pollution,' and 'indifference.' Secondly, participants attributed meaning to the selected photographs related to environmental barriers, associating them with concepts like 'invisibility,' 'apathy,' 'social stigma,' 'inefficiency,' and 'compulsion.' Lastly, participants ascribed significance to photographs selected in the context of eco-friendly behaviors, with themes like 'recycling,' 'energy conservation,' 'reuse,' and 'reducing the use of disposable items.' Based on these research findings, the confirmation of the V-A-B (Values-Attitudes-Behavior) model was established. It was observed that consumers structure a hierarchical relationship between their personal values, attitudes, and behaviors. The study also identified clear impediments in consumers' daily lives hindering the practice of eco-friendly behaviors. In light of this, the research highlighted the need for strategies to address the discomfort or inconvenience associated with implementing environmentally friendly consumer behaviors. The implications of the study suggest that interventions or solutions are necessary to alleviate barriers and promote a more seamless integration of eco-friendly practices into consumers' daily routines.

• The Transactions of the Korean Institute of Power Electronics
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• v.14 no.3
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• pp.188-196
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• 2009

Due to its high power density, long cycle life and clean nature supercapacitors are widely used for improving the dynamic characteristics of the new and renewable energy sources and extending the battery run-time and life. In this paper improved dynamic model of the supercapacitor is developed by the electrochemical impedance spectroscopy technique. The developed model can be used to accurately estimate the dynamic behaviour of the supercapacitor and calculate the exact capacitance value at a certain state of charges. The model of the supercapacitor in the frequency domain is equivalently transformed into that in the time domain for Matlab/Simulink simulaton. The simulation data shows fine agreements with experimental results, thereby proving the validity and the accuracy of the developed model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.850-858
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• 2022

To deploy Gate Recurrent Units (GRU) on resource-constrained embedded devices, this paper presents a reconfigurable FPGA-based GRU accelerator that enables structured compression. Firstly, a dense GRU model is significantly reduced in size by hybrid quantization and structured top-k pruning. Secondly, the energy consumption on external memory access is greatly reduced by the proposed reuse computing pattern. Finally, the accelerator can handle a structured sparse model that benefits from the algorithm-hardware co-design workflows. Moreover, inference tasks can be flexibly performed using all functional dimensions, sequence length, and number of layers. Implemented on the Intel DE1-SoC FPGA, the proposed accelerator achieves 45.01 GOPs in a structured sparse GRU network without batching. Compared to the implementation of CPU and GPU, low-cost FPGA accelerator achieves 57 and 30x improvements in latency, 300 and 23.44x improvements in energy efficiency, respectively. Thus, the proposed accelerator is utilized as an early study of real-time embedded applications, demonstrating the potential for further development in the future.

• Journal of Climate Change Research
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• v.1 no.3
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• pp.189-203
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• 2010

The objective of this study is the estimate of $CO_2$ emissions by the energy consumption of functional technology introduced by classifying energy use in households according to functions as well as energy resources. This study also intends to provide the practical basis data in order to establish specific alternatives for GHG mitigation in residential sector with examining the cause analysis affecting $CO_2$ emission increases from 1995 to 2007. The results of this study show a 6.6% increase in the total $CO_2$ from 60,636 thousand tons in 1995 to 64,611 thousand tons in 2007 by using energy in residential sector. Heating is the greatest $CO_2$ emission sector by use, followed electric appliances, cooking, lighting and cooling. Heating sector shows 56.6% reductions from 71.5% in 1995 and as do cooling and electric home appliances, with a 2.4% increase from 0.6% and a 21.8% increase from 14.2% respectively. To analyze factors resulted in $CO_2$ emissions in residential sector, the relevant indicator change rate from 2005 to 2007 was examined. The results find that population, the number of household, housing areas, family patterns, and family income resulted in the $CO_2$ emissions increase in residential sector from 1995 to 2007. On the other hand, carbon intensity and energy intensity contribute to $CO_2$ reduction in residential sector with -2% and -38.7% respectively because of the energy conversion and the improvement of energy efficiency in electronic appliances. This study can be used as a reference when taken account of the reality and considered the introduction of highly effective measures to increase the possibility of mitigation potential in residential sector hereafter.

• The KIPS Transactions:PartB
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• v.15B no.3
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• pp.197-204
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• 2008

It is well known that the tracking a certain person is a vary needed technic in the humanoid robot. In robot technic, we should consider three aspects that is cloth color matching, face recognition and motion analysis. Because a robot technic use some sensors, it is many different with the robot technic to track a certain person through the CCTV images. A system speed should be fast in CCTV images, hence we must have small calculation numbers. We need the statistical variable for color matching and we adapt the eigen-face for face recognition to speed up the system. In this situation, motion analysis have to added for the propose of the efficient detecting system. But, in many motion analysis systems, the speed and the recognition rate is low because the system operates on the all image area. In this paper, we use the moving energy only on the face area which is searched when the face recognition is processed, since the moving energy has low calculation numbers. When the proposed algorithm has been compared with Girondel, V. et al's method for experiment, we obtained same recognition rate as Girondel, V., the speed of the proposed algorithm was the more faster. When the LDA has been used, the speed was same and the recognition rate was better than Girondel, V.'s method, consequently the proposed algorithm is more efficient for tracking a certain person.

• Smart Media Journal
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• v.13 no.2
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• pp.122-128
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• 2024

Today, many companies are using CRM as a means to secure sales opportunities, improve sales pipelines, and increase customer satisfaction. CRM like this improves the quality of corporate management by understanding customer behavior patterns and utilizes the process of change in the organization's work procedures and technology for marketing, sales, and customer service. In this study, we designed and implemented a small CRM using IP PBX to enable small and medium-sized businesses to introduce CRM without economic burden and measured its performance. As a result, we found a small customer management system (SOHO CRM) has proven its performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.367-372
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• 2016

In a modern smart building, sensors can detect various physical conditions, such as temperature, humidity, sound, motion, and light, which can be used in medical services and security, and for energy savings. This paper presents an efficient elevator scheduling system that utilizes smart sensor technologies with radio-frequency identification, video, and floor sensors to detect the arrival of elevator users in advance. The detected information is then delivered to the elevator scheduling system via building networks. By using this information, the proposed system makes a reservation call for efficient control of the elevator's direction and time. Experiments under a spectrum of traffic conditions show that the proposed system performs better than a legacy system with respect to average wait time, maximum wait time, and energy consumption.

• Journal of Music and Human Behavior
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• v.3 no.2
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• pp.45-58
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• 2006

Recently many treatment strategies have been developed to prevent suicidal ideation as it is increasing. Various community facilities and university centers are carrying out research to develop efficient treatment programs. This study examined how music can be used therapeutically for a case who is going through severe suicidal ideation. Various music therapy techniques are utilized including song psychotherapy, music and imagery and role play instrumental improvisation. A woman with severe depression for seven one-hour session. Both quantitative and qualitative data were collected to examine the changes in the suicidal ideation. As results, there were lots of changes in the client's attitude towards life through exploring inner world. Much of stability and sense of security were gained and emotional hardship was resolved in the process of therapy. The client was able to structure future plans productively as the suicidal ideation was reduced. In the process of role play instrumental improvisation, music allowed her to express issues regarding relationships with others, attitudes and in other areas as well. Music was used "as therapy" and solved many repressed emotions related to the trauma including psychological inhibition, tension, helplessness, lack of energy. Further music was able to bring the "false" ego with "true ego". The study implies that various psychotherapeutic interventions can alleviate depression and reduce suicidal ideation.