• KIEAE Journal
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• v.17 no.5
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• pp.95-100
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• 2017

Purpose: The purpose of this study is to investigate the prior art based on deep learning to objectively calculate the metabolic rate which is the subjective factor for the PMV optimum control and to make a plan for future research based on this study. Methods: For this purpose, the theoretical and technical review and applicability analysis were conducted through various documents and data both in domestic and foreign. Results: As a result of the prior art research, the machine learning model of artificial neural network and deep learning has been used in various fields such as speech recognition, scene recognition, and image restoration. As a representative case, OpenCV Background Subtraction is a technique to separate backgrounds from objects or people. PASCAL VOC and ILSVRC are surveyed as representative technologies that can recognize people, objects, and backgrounds. Based on the results of previous researches on deep learning based on metabolic rate for occupational metabolic rate, it was found out that basic technology applicable to occupational metabolic rate calculation technology to be developed in future researches. It is considered that the study on the development of the activity quantity calculation model with high accuracy will be done.

• Korean Journal of Organic Agriculture
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• v.7 no.1
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• pp.129-135
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• 1998

This study was conducted to clarify the plant growth promoting effects of the various rhizobacteria on the growth of hydroponically grown tomatoes in rockwool, perlite and cocopeat cultures. Strains in terms of $Azospirilham\;sp.(4.5{\times}10^7cells/g),\;Rhodopseudomonas\;sp.(5.8{\times}10^5cells/g),\;Pseudomonas\;sp.(6.1{\times}10^6cells/g$), fusant of $Bacillus\;sp.\;and\;Corynebacterium\;glutamicum(9.1{\times}10^5cells/g$) was bacterialized into the root zone of tomatoes before sowing. Overall growth of tomato plants was promoted by bacterialization of the various rhizobacteria. Strains which showed the highest plan growth promoting effects of hydroponically grown tomatoes was Azospirillum sp., and optimum cultural substrates for the plant growth promotion by rhizobactera were in the order of cocopeat > perlite = rockwool cultures.

• Journal of the Korean Applied Science and Technology
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• v.34 no.4
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• pp.818-826
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• 2017

In accordance with the New and Renewable Energy Supply Statistics, biomass power generation has surged since 2013, and use of wood pellet has the most sharply increased, 696Gwh in 2013, 2,764Gwh in 2014 and 2,512Gwh in 2015. Total domestic wood pellet consumption was 1.48million tons in 2015, of which wood pellets consumed for power generation account for about 1.08million tons, about 73%. In this study, we gained the result that the wood pellet would be consumed 2.61million tons in 2020, 6.85million tons in 2025, 11.39million tons in 2030. We also calculated the optimum biomass power generation, on the premise that the power plant co-fire 50% biomass, and the result was that 2.26million tons of wood pellets should be produced domestically in 2021 to operate the present licensed wood pellet power plant from this study.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.24 no.2
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• pp.71-84
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• 2021

Restoration of DMZ has come up with the discussion on the peaceful use of the DMZ and the conservation plan of the army. In this study, we aim to identify soil characteristics of 108 sites to figure out environmental conditions around the iron fence of DMZ where vegetation has been removed repeatedly. Based on the soil characteristics and climate variables, hierarchy clustering was performed to categorize sites. As a result, we categorized 108 sites into 4 types: middle elevation region, lowland, East coast lowland, other areas. Group of 'other area' is only high in nutrient and clay proportion. Others are in igneous rock and metamorphic rocks with a high proportion of sand and lower nutrients than the optimum range of growth in Korean forest soil. The middle elevation region has a high altitude, low temperature. The east coast lowland has a high temperature in January and low precipitation. The lowland has a low altitude and high temperature. This category provides the environmental condition around the DMZ fence and can be used to select plants for restoration. The restoration project around the DMZ iron fence should satisfy the security of military plans, which means that functional restoration is prior to ecological restoration such as vegetation management under a power line. Additionally, improvement of soil quality and surface stability through restoration projects is required to enhance the resilience of the ecosystem in DMZ.

• Journal of Urban Science
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• v.8 no.1
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• pp.33-44
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• 2019

The purpose of this study is to investigate the cause of repeated accidents through the investigation and analysis of the collapse cases of domestic earthquakes in order to prevent the earthquake disaster in the urban redevelopment and reconstruction. It is designed and constructed to draw out various problem factors and to find solutions to these problems. And the contents related to various laws and systems of the construction project management stage. Especially. In the management of the construction management centered on the safety management and quality control of the technical aspect design, supervision, construction phase through the cause of the accident and improvement measures based on the investigation report of the collapse of the construction site near Sangdo Kindergarten in Seoul. Supervisor. And constructors should be settled on the responsibility and responsibility of God. In order to achieve the purpose of the project, a system is established to link worker-centered occupational safety and health management with technology-based safety construction management, and analysis of how the quality control of the earthquake prevention affects safety construction management The purpose of this study is to prepare the optimum management plan of construction business.As a result of this study, it is aimed to accomplish the purpose of small scale redevelopment and reconstruction construction project by providing optimization method in the stage of construction project management in order to prevent collapse caused by differences in design,Is expected.

• Food Science of Animal Resources
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• v.39 no.2
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• pp.222-228
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• 2019

This research was motivated by our encounter with the situation where an optimization was done based on statistically non-significant models having poor fits. Such a situation took place in a research to optimize manufacturing conditions for improving storage stability of coffee-supplemented milk beverage by using response surface methodology, where two responses are $Y_1$=particle size and $Y_2$=zeta-potential, two factors are $F_1$=speed of primary homogenization (rpm) and $F_2$=concentration of emulsifier (%), and the optimization objective is to simultaneously minimize $Y_1$ and maximize $Y_2$. For response surface analysis, practically, the second-order polynomial model is almost solely used. But, there exists the cases in which the second-order model fails to provide a good fit, to which remedies are seldom known to researchers. Thus, as an alternative to a failed second-order model, we present the heterogeneous third-order model, which can be used when the experimental plan is a two-factor central composite design having -1, 0, and 1 as the coded levels of factors. And, for multi-response optimization, we suggest a modified desirability function technique. Using these two methods, we have obtained statistical models with improved fits and multi-response optimization results with the predictions better than those in the previous research. Our predicted optimum combination of conditions is ($F_1$, $F_2$)=(5,000, 0.295), which is different from the previous combination. This research is expected to help improve the quality of response surface analysis in experimental sciences including food science of animal resources.

• Journal of People, Plants, and Environment
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• v.23 no.3
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• pp.255-265
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• 2020

Background and objective: The purpose of this study was to provide guidelines for irrigation management by analyzing the effects of soil moisture on the growth characteristics of herbaceous plants in green infrastructure. Methods: In a rain shelter greenhouse, the growth performance of nine species of experimental plants was assessed under different soil moisture contents (20%, 15%, 10%, 5%, and 1%) for about 5 months to analyze plant growth characteristics due to soil humidity. Methods to determine plant growth conditions include surveying growth conditions of the crowns, stems, leaves, flowers and fruits on the aerial part and surveying growth conditions of the roots in the underground part. Results: The results showed that Mukdenia rossii and Astilbe rubra grew well at 15% moisture content with irrigation intervals of 10 and 13 days, respectively. Soil moisture content of 10% with irrigation intervals of 13 and 17 days was appropriate for Sedum kamtschaticum and Pachysandra terminalis. Similarly, Aquilegia japonica and Liriope platyphylla grew well at 15% moisture content with irrigation intervals of 10 and 17 days. However, Ligularia stenocephala grew well-developed stems and roots at 1% soil moisture content and an irrigation interval of 25 days, while the optimum conditions for Lythrum anceps were 5% moisture content and an irrigation interval of 8 days. Conclusion: Although a limited number of experimental plants were used in this study, this study could propose an appropriate irrigation cycle for planting on artificial soil substrates. Based on these results, it is possible to plan suitable planting designs considered irrigation cycles.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4D
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• pp.627-634
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• 2006

Now, in a domestic country, the rebuilding and redevelopment of existing houses has been rapidly increasing with an economic growth and the improvement of living condition. As a result of that, a lot of C&D waste has been also produced. Nevertheless, it is not easy to find the research results for appropriate treatment and management of C&D waste in domestic. Therefore this study suggests the optimum deconstruction management system for minimizing construction waste and increasing reuse or recycle rate of material different from traditional demolition. The system makes it possible to plan and manage in advance quantity of C&D waste, demolition methods of each structural elements and application methods of produced C&D waste through an integrated and computerized system. The purpose of the system is ultimately to contribute to minimizing environmental damages and reducing construction waste quantity of a country. This system is largely composed of four modules such as planning of preliminary demolition survey, estimating of demolition quantity, planning of demolition schedule and planning of construction waste management and each module can be also used individually according to the purpose of a user.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.2
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• pp.223-229
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• 2024

The Ministry of Land, Infrastructure and Transport presented the "Construction Industry BIM Enforcement Guidelines Constructors Edition" to reflect the design BIM data in the construction stage. The enforcement guidelines were prepared with the aim of providing guidelines for detailed common implementation plans such as minimum BIM business methods and procedures necessary for ordering, designing, and construction stages for the full-scale BIM application in all fields of the construction industry. In this study, interference and design errors were examined based on the enforcement guidelines, and the application effects were grasped for various sites where equipment placement and operation plans were established. As a result, intuitive examination was possible by comparing the digital field 3D model and the planned model in one space, and the optimum equipment arrangement and operation plan were derived through simulation examination according to the execution stage.

• Korean journal of applied entomology
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• v.54 no.4
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• pp.401-407
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• 2015

This study describes the development of a method for monitoring Aphis gossypii in greenhouse cucumber fields that was used during 2013 and 2014. The dispersion pattern of A. gossypii was determined by commonly used methods: Taylor's power law (TPL) and Iwao's patchiness regression (IPR). The sample unit was determined by linear regression analysis between mean density of sample unit versus whole plant. The optimum sample unit for different plant growth stages was two leaves (median and the lowest + 1 leaf) when the total number of leaves was less than nine, and three leaves (4th, 7th from canopy, and the lowest +1 leaf) when the total number of leaves was greater than nine. A. gossypii showed an aggregated distribution pattern, as the slopes of both TPL and IPR lines were greater than 1. TPL provided a better description of the mean-variance relationship than did IPR. The slopes and intercepts of TPL and IPR from leaf samples did not differ between the surveyed years. Fixed precision levels (D) for a sequential sampling plan were developed using Green's and Kuno's equations based on the number of aphid in a leaf sample. Green's method was more efficient than Kuno's to stop sampling. The number of samples needed to estimate the density of A. gossypii increased at higher D levels and lower mean densities. The cumulative number of aphids needed to stop sampling increased at higher D levels and with fewer plants sampled. Thus to estimate 10 aphids per leaf, 13 plants needed to be sampled, and the cumulative number of aphids to stop sampling was 131.