• International journal of advanced smart convergence
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• 제4권1호
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• pp.162-178
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• 2015

Petroleum based fossil fuels used to power most processes today are non-renewable fuels. This means that once used, they cannot be reproduced for a very long time. The maximum combustion of fossil fuels occurs in automobiles i.e. the vehicles we drive every day. Thus, there is a requirement to shift from these non-renenewable sources of energy to sources that are renewable and environment friendly. This is causing the need to shift towards more environmentally-sustainable transport fuels, preferably derived from biomass, such as biodiesel blends. These blends can be made from oils that are available in abundance or as waste e.g. waste cooking oil, animal fat, oil from seeds, oil from algae etc. Waste Cooking Oil(WCO) is a waste product and so, converting it into a transportation fuel is considered highly environmentally sustainable. Keeping this in mind, a life cycle assessment (LCA) was performed to evaluate the environmental implications of replacing diesel fuel with WCO biodiesel blends in a regular Diesel engine. This study uses Life Cycle Assessment (LCA) to determine the environmental outcomes of biodiesel from WCO in terms of global warming potential, life cycle energy efficiency (LCEE) and fossil energy ratio (FER) using the life cycle inventory and the openLCA software, version 1.3.4: 2007 - 2013 GreenDelta. This study resulted in the conclusion that the biodiesel production process from WCO in particular is more environmentally sustainable as compared to the preparation of diesel from raw oil, also taking into account the combustion products that are released into the atmosphere as exhaust emissions.

• International journal of advanced smart convergence
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• 제4권1호
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• pp.45-53
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• 2015

This paper is proposed mathematical load modelling based on system identification approach of energy consumption of residential air conditioning. Due to air conditioning is one of the significant equipment which consumes high energy and cause the peak load of power system especially in the summer time. The demand response is one of the solutions to decrease the load consumption and cutting peak load to avoid the reservation of power supply from power plant. In order to operate this solution, mathematical modelling of air conditioning which explains the behaviour is essential tool. The four type of linear model is selected for explanation the behaviour of this system. In order to obtain model, the experimental setup are performed by collecting input and output data every minute of 9,385 BTU/h air-conditioning split type with $25^{\circ}C$ thermostat setting of one sample house. The input data are composed of solar radiation ($W/m^2$) and ambient temperature ($^{\circ}C$). The output data are power and energy consumption of air conditioning. Both data are divided into two groups follow as training data and validation data for getting the exact model. The model is also verified with the other similar type of air condition by feed solar radiation and ambient temperature input data and compare the output energy consumption data. The best model in term of accuracy and model order is output error model with 70.78% accuracy and $17^{th}$ order. The model order reduction technique is used to reduce order of model to seven order for less complexity, then Kalman filtering technique is applied for remove white Gaussian noise for improve accuracy of model to be 72.66%. The obtained model can be also used for electrical load forecasting and designs the optimal size of renewable energy such photovoltaic system for supply the air conditioning.

• International journal of advanced smart convergence
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• 제4권1호
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• pp.54-63
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• 2015

Increasing air pollution levels and the global oil crisis has become a major hindrance in the growth of our automobile sector. Traditional Internal Combustion engines running on non-renewable fuels are proving to be the major culprit for the harmful effects on environment. With few modifications and also with assistance of few additional components current small SI engines can be modified into a pneumatic engine (commonly known as Compressed Air Engines) without much technical complications where the working fluid is compressed air. The working principle is very basic as adiabatic expansion of the compressed air takes place inside the cylinder pushing the piston downwards creating enough MEP to run the crank shaft at decent RPM. With the assistance of new research and development on pneumatic engines can explore the potential of pneumatic engines as a viable option over IC engines. The paper deals with analysis on RPM variation with corresponding compressed air injection at different crank angles from TDC keeping constant injection time period. Similarly RPM variation can also be observed at different injection pressures with similar injection angle variation. A setup employing a combination of magnetic switch (reed switch), magnets and solenoid valve is used in order to injection timing control. A conclusive data is obtained after detailed analysis of RPM variation that can be employed in newly modified pneumatic engines in order to enhance the running performance. With a number of benefits offered by pneumatic engine over IC engines such as no emissions, better efficiency, low running cost, light weight accompanied by optimized injection conditions can cause a significant development in pneumatic engines without any major alteration.

• International journal of advanced smart convergence
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• 제4권1호
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• pp.99-103
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• 2015

Quake wavelength technique was designed of the sway by the body. There was presented a concept of the dangle wavelength by twisting condition of posture. We compared to the twisting condition for an average variation and maximum variation with the movement. There was used a combination system and correlation system of the posture. Their correlation signal was presented a control data by the dynamic movement. The quake wavelength system was to be formation of activity aspects by posture. The correlation of wavelength technique was applied to the a little action of posture variation signal. Quake wavelength by the dynamic movement was determined to a variation of vision condition of the $Vi-{\alpha}_{AVG}$ with $(-1.27){\pm}(-0.34)$ units, that vestibular condition of the $Ve-{\alpha}_{AVG}$ with $(-0.49){\pm}(-0.4)$ units, that somatosensory condition of the $So-{\alpha}_{AVG}$ with $0.037{\pm}0.269$ units, that CNS condition of the $C-{\alpha}_{AVG}$ with $(-0.049){\pm}0.015$ units. As the study of the quake wavelength technique was depended on the action system of body movement that a maximum and averag values was used a movement of combination data. The system was required an action signal for the form of actual signal on the basis of a little movement condition in the body. The human action systemwas compared to maximum and average from the movement derived the body. Therefore, their system was controlled to evaluate posture condition for the body correlation.

• International journal of advanced smart convergence
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• 제6권4호
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• pp.88-95
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• 2017

The conventional scan methods are based on a laser scanner and a depth camera, which requires high cost and complicated post-processing. Whereas in photometric scanning method, the 3D modeling data is acquired through multi-view images. This is advantageous compared to the other methods. The quality of a photometric 3D model depends on the environmental conditions or the object characteristics, but the quality is lower as compared to other methods. Therefore, various methods for improving the quality of photometric scanning are being studied. In this paper, we aim to investigate the effect of illumination conditions on the quality of photometric scanning data. To do this, 'Moai' statue is 3D printed with a size of $600(H){\times}1,000(V){\times}600(D)$. The printed object is photographed under the hard light and soft light environments. We obtained the modeling data by photometric scanning method and compared it with the ground truth of 'Moai'. The 'Point-to-Point' method used to analyseanalyze the modeling data using open source tool 'CloudCompare'. As a result of comparison, it is confirmed that the standard deviation value of the 3D model generated under the soft light is 0.090686 and the standard deviation value of the 3D model generated under the hard light is 0.039954. This proves that the higher quality 3D modeling data can be obtained in a hard light environment. The results of this paper are expected to be applied for the acquisition of high-quality data.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.93-103
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• 2019

We examined the mediating effect of the consistency of the values of organizational members on the relationship between the values of IT enterprise executives and organizational performance. Hypotheses 1, 2, and 3, which were set up to achieve the purpose of this study, were verified as follows. First, Hypothesis 1 proposed that the values of management will have a positive effect on organizational performance. Second, Hypothesis 2 proposed that the values of management are likely to have a positive effect on the consistency of the values of organizational members. Third, Hypothesis 3 proposed that the consistency of the values of organizational members will have a positive (+) influence on organizational performance. We found that the consistency of the values of organizational members has a positive (+) influence on organizational performance. Hypothesis 3 was adopted. Fourth, the consistency of the values of the organizational members proved that the organizations with high consistency of values performed well by mediating the values and organizational performance of management. In other words, according to the values of the management, we can improve an organization's sustainability management system by increasing the value of organizational performance and the values of organizational members. Therefore, we must establish plans that can be shared systematically and strategically about the values of management. In addition, the consistency of the values of organizational members has a direct or indirect influence on improving organizational performance. Therefore, we need to systematically derive and improve various factors that can increase the consistency of the values of organizational members in terms of strategic human resource management, such as organizational vision, core values, talent awards, selection process, and motivation. Therefore, the greatest significance of this study is in its theoretical and practical implications for increasing the sustainability management system by using the influence of the executives' can do to further improve the organizational performance.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.121-129
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• 2019

We are based on the results of this study, the policy measures for improving the efficiency of supply & demand policy of public cremation facilities in six metropolitan cities in the whole nation could be suggested as follows. First, when the utilization rate of public cremation facilities by citizents out of the jurisdiction area was lower, the overall demand for cremation was high. Therefore, the supply & demand policy of public cremation facilities should be carried forward by preferentially focusing on Busan Metropolitan City(4.1%) and Daegu Metropolitan City(17.9%) with low utilization rate by citizens out of the jurisdiction area. Second, the utilization variance of public cremation facilities in the whole six metropolitan cities in the whole nation, was insignificant(1.4%). Therefore, for the efficiency of supply & demand policy of cremation facilities in those six metropolitan cities, the customized-policies considering the characteristics of each metropolitan city should be carried forward in priority. Third, on the basis of 2018, the population size of those six metropolitan cities in the whole nation is from minimum 1.15million to maximum 3.39million as a large city, and relatively, they are facing many difficulties in the expansion for supply & demand of cremation facilities. Therefore, for the smooth construction of cremation facilities, it would be necessary to enforce policies that could disperse the demand for cremation through the joint construction of cremation facilities with other local governments close to each metropolitan city.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.194-199
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• 2019

As the performance of the system increases, more parallelized data is being processed than single processing of data. Today's cpu structure has been developed to leverage multicore, and hence data processing methods are being developed to enable parallel processing. In recent years desktop cpu has increased multicore, data is growing exponentially, and there is also a growing need for data processing as artificial intelligence develops. This neural network of artificial intelligence consists of a matrix, making it advantageous for parallel processing. This paper aims to speed up the processing of the system by using raspberrypi to implement the cluster building and parallel processing system against the backdrop of the foregoing discussion. Raspberrypi is a credit card-sized single computer made by the raspberrypi Foundation in England, developed for education in schools and developing countries. It is cheap and easy to get the information you need because many people use it. Distributed processing systems should be supported by programs that connected multiple computers in parallel and operate on a built-in system. RaspberryPi is connected to switchhub, each connected raspberrypi communicates using the internal network, and internally implements parallel processing using the Message Passing Interface (MPI). Parallel processing programs can be programmed in python and can also use C or Fortran. The system was tested for parallel processing as a result of multiplying the two-dimensional arrangement of 10000 size by 0.1. Tests have shown a reduction in computational time and that parallelism can be reduced to the maximum number of cores in the system. The systems in this paper are manufactured on a Linux-based single computer and are thought to require testing on systems in different environments.

• 대한전자공학회논문지TC
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• 제43권2호
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• pp.66-75
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• 2006

본 논문은 이더넷 PON 기술 기반 FTTH 시스템 구현에 관한 것이다 이 시스템은 OLT와 ONT로 구성되었다. OLT는 시스템 당 최대 24개의 기가비트 인터페이스를 지원하며, 향후 디지털 통신 방송 융합 서비스를 고려한 설계로 융통성과 확장성을 가지고 있다. OLT 시스템은 스위치 모듈, 가입자 모듈, 프로세서 모듈, 그리고 E-PON 링크 모듈로 이루어져 있으며, 리눅스 운영체제를 탑재하고 있다 ONT는 가입자 댁내에 실장되어 IP-TV 및 인터넷 서비스를 제공할 수 있으며, IP-TV 신호 전달 특성을 개선하기 위하여 IP-TV 전용 인터페이스를 가지고 있다 우리는 이 시스템을 통하여 E-PON MAC 성능을 측정하였으며, IP-TV용 가상링크와 데이터용 가상링크를 분리하여 ONT에서 트래픽별 QoS 제어 특성을 측정하였다.

• 한국항행학회논문지
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• 제21권6호
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• pp.561-571
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• 2017

전파항법 (radio navigation) 시스템은 항공교통, 육상교통, 측지측량, 방송통신, 국방 등 다양한 분야에서 국가 기반시설로 사용되고 있으며, 다양한 산업에서 사용되고 있다. 전파항법시스템은 여러 기술의 융합체이기 때문에 그 개발 단계에서 많은 시간과 비용이 소요된다. 선진국은 전파항법시스템 개발 초기에 국제적 호환성과 국제표준에 부합하는 국가적인 중장기 계획을 수립하고 체계적인 시스템 개발을 진행하였다. 우리나라는 전파항법에 대한 국가적인 중장기 계획의 부재로 시스템이 체계적으로 개발되지 못하고 산업발전에 효과적으로 기여하지 못하고 있다. 본 논문은 국가적인 전파항법시스템의 중장기 계획 수립을 위하여 국내외 항공분야의 전파항법시스템 기술 원리를 분석하고 기술 동향을 살펴본다. 분석된 기술동향을 기반으로 향후 국내 전파항법시스템의 기술적 개발전망과 국내 관련 산업 육성방안을 제시한다.