• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.87-92
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• 2015

In this Paper, we proposed optimization of system performance, optimal splitting factor ${\alpha}$ applied to power splitting protocol with relay protocol with decode and forward undergo co-channel interference. We can possible to optimize and maximize the channel capacity of the receive performance and the efficiency of the network through optimal factor of splitting protocol. We verified BER performance and Channel capacity and Outage probability for the proposed scheme over Rayleigh fading through Monte-Carlo simulation.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.3
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• pp.19-24
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• 2015

We introduce an optimization of the number of base station antennas in massive multiple-input multiple-output (MIMO) wireless powered communication network (WPCN). We use channel hardening property of massive MIMO system to approximate channel gain in terms of the number of base station antennas. Then, we find an optimal solution by partial differential and obtain a closed form solution by using Lambert-W function. The simulation results show that the approximation and the method of solving the optimization problem are reasonable, and the optimal solution of proposed scheme is almost identical to the optimal number of base station antennas by the exhaustive search method.

• Journal of The Korean Society of Grassland and Forage Science
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• v.38 no.2
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• pp.112-119
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• 2018

This study aimed to determine the optimal harvesting time for wheat to make grain silage, in Honam region of Korea. We harvested wheat grain every third day from 30 to 42 days after heading (DAH). The moisture content decreased from 61.6% at 30 DAH to 42.8% at 42 DAH. Yield of wheat grain significantly increased from 30 to 42 DAH (p< 0.05). Yield at 39 DAH (3.46T/ha) was not significantly different from that at 42 DAH (p< 0.05). With respect to the feed value of wheat grain silage, the amount of crude protein, crude fiber, and crude ash was different by harvesting time (p< 0.05). However, the amount of total digestible nutrients (TDN) from 30 and 42 DAH was not significantly different. The pH of wheat grain silage from 30 to 42 DAH was between 3.8 and 4.5 and it was stable until 39 DAH (p< 0.05). The lactic acid content of wheat grain silage from 30 to 42 DAH decreased from 3.08% to 1.10%. With respect to moisture content, yield, feed value, and fermentation, the optimal harvesting time for wheat grain silage was 39 DAH.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.683-688
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• 2018

Recently, the demand for electric energy has been increasing due to the spread of hybrid electric vehicles. In this study, to meet this demand, the ANSYS MAXWELL electromagnetic simulation system was used to compare the power generation characteristics of three types of suspension system that can generate electricity using energy harvesting technology. Next, the optimal design was determined for each model by using the commercial PIDO (Process Integration and Design Optimization) tool, PIANO (Process Integration, Automation and Optimization). We selected three design variables and constructed an approximate model based on the experimental design method through electromagnetic analysis for 18 experimental points derived from Orthogonal Arrays among the experimental design methods. Then, we determined the optimal design by applying the Evolutionary Algorithm. Finally, the optimal design results were verified by electromagnetic simulation of the optimum design result model using the same analysis conditions as those of the initial model. After comparing the power generation characteristics for the optimal structure for each linear generator model, the maximum power generation amounts in the 8pole-8slot, 12pole-12slot, and 16pole-16slot structures were 366.5W, 466.7W and 579.7W, respectively, and it was found that as the number of slots and poles increases, the power generation increases.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.53 no.1
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• pp.58-63
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• 2008

Variation of chalkiness expression in milled waxy rice with the moisture contents of grains was investigated using instrument and naked eye evaluation methods. To find out any effects of varieties and harvesting times on the chalkiness development, rice grains of seven waxy varieties harvested at early, optimal and late times were tested after being sun-dried to have three different moisture contents of about $13.0{\sim}14.5%$, $14.5{\sim}16.0%$ and above 16.0%. The moisture contents of rice grains were distributed in the ranges of about 13.0% to 17.5% with the drying intensity right after harvesting. Although there were some genetical variations in whiteness and degree of transparency of milled rice grains among varieties at the same condition, chalkiness was most significantly affected by the changes of moisture content in all waxy varieties and harvesting times. At the moisture content less than 13.5%, all varieties exhibited waxy unique chalkiness, and at the moisture ranges between 13.5% and 14.0% the chalkiness was more or less affected by harvesting time and varieties. At the moisture content ranges between 14.0% and 16.0%, chalkiness gradually disappeared as with the increase of moisture content. However the degrees of chalkiness loses were strongly depended on individual kernels by showing as if the number of non-waxy rice kernels would be increasing in waxy rice grains with the moisture content increase. At the moisture content above about 16.0%, all waxy kernels lost their unique chalkiness, and showed non-waxy rice appearance.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.62 no.1
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• pp.16-23
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• 2017

This study aimed to determine the optimal harvesting time for covered barley to make grain silage, in Honam region of Korea. We harvested six varieties of barley every third day from 24 to 42 days after heading (DAH). The moisture content decreased from 62.4% at 24 DAH to 24% at 42 DAH. The moisture content at 36 DAH was 44.3%; however, moisture content at 39 and 42 DAH was lower than 40%. Yield of covered barley significantly increased from 24 to 42 DAH (p < 0.05). Yield at 36 DAH (557 kg/10a) was not significantly different from that at 39 and 42 DAH (p < 0.05). With respect to the feed value of barley grain silage, the amount of crude fiber and crude ash was different by harvesting time (p < 0.05). However, the amount of crude protein, crude fat, and total digestible nutrients (TDN) from 24 and 42 DAH was not significantly different. The pH of grain silage from 24 to 42 DAH was between 3.8 and 4.2 and it was stable until 36 DAH (p < 0.05). However, the pH of grain silage at 39 and 42 DAH was 5.2 and 5.8, respectively, which was higher than the pH of silage with good fermentation quality. The lactic acid content of barley grain silage from 24 to 42 DAH decreased from 5.5% to 0.5% (p < 0.05). The amount of lactic acid at 36 DAH was higher than that at 39 and 42 DAH (p < 0.05). With respect to moisture content, yield, feed value, and fermentation, the optimal harvesting time for grain silage of covered barley was 36 DAH. This could increase the use efficiency of harvesting machine for barley and reduce the harvesting time gap between whole barley silage and grain silage in Korea. Moreover, using barley grain silage for animal feed could reduce the import of corn.

• Journal of Korean Society of Forest Science
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• v.82 no.3
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• pp.292-304
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• 1993

This research developed a forest-level harvest scheduling model using linear programming (LP). The formulations of the LP model include timber production schemes with constraints of nondecling yield forest conversion strategies, the minimum timber supply, levels and the maximum cut acrages. The model is able to generate both Model I and Model II types of input matrix in MPS format. In this paper, use of LP in building the framework of the strategic forest planning model was justified by comparing the algorithmic characteristics of LP with those of Gentan probability and binary search approaches through literature reviews. In order to demonstrate the field applicability of the model proposed. (1) the harvest scheduling problem for about 11,000-hectare case study area (Mt. Baekun area in Southern Experimental Forest of Seoul National University) was formulated and soloed and (2) the effects of the change in task regulatory timber production constraints or. optimal harvesting schedules here investigated.

• Ocean and Polar Research
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• v.40 no.4
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• pp.237-247
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• 2018

This study aims to estimate optimal harvests, fishing efforts, and stock levels of hairtail harvested by the large pair bottom trawl, the large otter trawl, the large purse seine, the offshore long line, and the offshore angling fisheries by using the surplus production models and the current value Hamiltonian method. Processes of this study are as follows. First of all, this study estimates the standardized fishing efforts regarding the harvesting of the hairtail by the above five fishing gears based on the general linear model developed by Gavaris. Secondly, this study estimates environmental carrying capacity (k), intrinsic growth rate (r), and catchability coefficient (q) by applying the Clarke Yoshimoto Pooley (CY&P) model among various surplus production models. Thirdly, this study estimates the optimal harvests, fishing efforts, and stock levels regarding the hairtail by the current value Hamiltonian method, including the average landing price, the average unit cost, and the social discount rate. Finally, this study attempts a sensitivity analysis to figure out changes in optimal harvests, fishing efforts, and stock levels due to changes in the average landing price and the average unit cost. As results induced by the current value Hamiltonian method, the optimal harvests, fishing efforts, and stock levels regarding the hairtail caught by several fishing gears were estimated as 33,133 tons, 901,080 horse power, and 79,877 tons, respectively. In addition, from the results of the sensitivity analysis, first of all, if the average landing price of the hairtail constantly increases, the optimal harvests of it increase at a decreasing rate, and then harvests finally slightly decrease as a result of decreases in stock levels. Secondly, if the average unit cost of fishing efforts continuously increases, the optimal fishing efforts decreases, but optimal stock levels increase. Optimal harvests start climbing and then decrease continuously due to increases in the average unit cost. In summary, this study suggests that the optimal harvests (33,133 tons) were larger than actual harvests (25,133 tons), but the optimal fishing efforts (901,080 horse power) were much less than estimated standardized fishing efforts (1,277,284 horse power), corresponding to the average of the recent three years (2014-2016). This result implies that the hairtail has been inefficiently harvested and recently overfished due to excessive fishing efforts. Efficient management and conservation policies on stock levels need to be urgently implemented. Some appropriate strategies would be to include the hairtail in the Korean TAC species or to extend the closed fishing season for this species.

• Korean Journal of Soil Science and Fertilizer
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• v.49 no.6
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• pp.699-704
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• 2016

An estimation of optimal requirement of additional N by cropping pattern and growth stage is very important for greenhouse watermelon. The objectives of this study were to estimate an amount of optimal additional N based on growth, N uptake and yield of watermelon. In order to achieve these goals, we performed the study at farmer's greenhouse with a fertigation system and watermelon was cultivated three times (spring, summer and autumn) in 2015. The levels of additional N were set up with x0.5, x0.75, x1.0 and x1.5 of the $NO_3$-N-based soil-testing N supply for watermelon cultivation. The trends of growth and N uptake of watermelon markedly differed from cropping pattern; spring (sigmoid), summer and autumn (linear). The yield of watermelon was the highest at summer season and followed by autumn and spring. Also, the x1.5N showed a significantly higher yield compared to other N treatments. On the basis of growth, N uptake and yield of watermelon, we estimated an optimal level of additional N by cropping pattern and growth stage as follows; 1) spring (transplanting ~ 6 WAT : 6 ~ 14 WAT : 14 ~ harvest = 5 : 90 : 5%), summer (transplanting ~ 4 WAT : 4 ~ 8 WAT : 8 ~ harvest = 25 : 50 : 25%) and autumn (transplanting ~ 4 WAT : 4 ~ harvesting : 50 : 50%). In conclusion, nutrient management, especially N, based on cropping pattern and growth stage was effective for favorable growth and yield of watermelon.

• Journal of Communications and Networks
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• v.14 no.2
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• pp.188-194
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• 2012

Cognitive networks (CNs) are capable of enabling dynamic spectrum allocation, and thus constitute a promising technology for future wireless communication. Whereas, the implementation of CN will lead to the requirement of an increased energy-arrival rate, which is a significant parameter in energy harvesting design of a cognitive user (CU) device. A well-designed spectrum-sensing scheme will lower the energy-arrival rate that is required and enable CNs to self-sustain, which will also help alleviate global warming. In this paper, spectrum sensing in a multi-user cognitive ad hoc network with a wide-band spectrum is considered. Based on the prospective spectrum sensing, we classify CN operation into two modes: Distributed and centralized. In a distributed network, each CU conducts spectrum sensing for its own data transmission, while in a centralized network, there is only one cognitive cluster header which performs spectrum sensing and broadcasts its sensing results to other CUs. Thus, a wide-band spectrum that is divided into multiple sub-channels can be sensed simultaneously in a distributed manner or sequentially in a centralized manner. We consider the energy consumption for spectrum sensing only of an analog-to-digital convertor (ADC). By formulating energy consumption for spectrum sensing in terms of the sub-channel sampling rate and whole-band sensing time, the sampling rate and whole-band sensing time that are optimal for minimizing the total energy consumption within sensing reliability constraints are obtained. A power dissipation model of an ADC, which plays an important role in formulating the energy efficiency problem, is presented. Using AD9051 as an ADC example, our numerical results show that the optimal sensing parameters will achieve a reduction in the energy-arrival rate of up to 97.7% and 50% in a distributed and a centralized network, respectively, when comparing the optimal and worst-case energy consumption for given system settings.