• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.3
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• pp.537-542
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• 2017

In this paper, we propose a new scheduling scheme to reduce the complexity and overhead in TDD uplink cellular networks. In a TDD network, users can estimate the interference causing to neighboring BSs by measuring the signals transmitted from them. In the existing max SGIR scheduling scheme, each user calculates SGIR and feeds back to BS. Then, the BS selects a user having the largest SGIR value to transmit data. This scheme has a problem that as the number of BSs increases, the number of interference channels to be measured by the users increases, and thus the hardware and algorithm complexity of the user increases. We propose a max SmGIR (Signal-to-max generating interference ratio) scheduling scheme that can reduce the user complexity by predicting the SGIR value based on only the largest interference information. According to computer simulations, the proposed scheme has similar performance to the existing max SGIR scheme despite this low complexity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.8
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• pp.1480-1485
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• 2017

A conventional max SNR scheme, which allocates uplink resources to the user with the highest gain of desired signal channel with a serving base station (BS), exhibits excellent performance in low interference environments. On the other hand, max SGIR scheme, which allocates resources by considering both the desired signal chanel gain and users' interference generating to neighboring BSs, outperforms the max SNR in high interference environments. The conventional two scheduling schemes exhibit optimal performance in different interference environments. Thus, we propose an adaptive scheduling scheme in order to overcome disadvantages of the conventional schemes. In the proposed scheme, a user is selected by max SNR and then the user's generating interference is compared with a pre-determined threshold value. If the generating interference is larger than a pre-determined threshold, then a user is re-selected by max SGIR policy. Monte-Carlo simulation results reveals that the proposed scheme outperforms the conventional schemes in various interference environments.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1704-1709
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• 2016

In this paper, we propose efficient uplink data transmission method in ultra dense wireless networks as in intra-aircraft, where large-scale APs and wireless sensors are deployed. In the ultra dense wireless networks, a performance degradation is inevitable due to the inter-AP interference. However, the performance degradation can be avoided if a scheduling algorithm can estimate the amount of interference caused by each wireless sensor and reflects it. SGIR (Signal-to-Generating Interference Ratio) based scheduling algorithms is a typical example. Unfortunately, the scheduling algorithms based on the interference caused by wireless sensors necessarily yield large scale exchange of information through backhaul which connects APs. Therefore, we, in this paper, propose a novel scheme which can dramatically reduce the amount of information which are exchanged through backhaul connection. Monte-Carlo simulation results show that the proposed scheme can reduce the amount of backhaul traffic by 27% without loss of data transmission rate.

• Journal of the Korean Society of Safety
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• v.20 no.2 s.70
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• pp.32-37
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• 2005

The purpose of this study is for the sensitivity study f9r a Steam Generator Tube Rupture (SGTR) of the System-integrated Modular Advanced ReacTor for a Pilot (SMART-P) plant. The thermal hydraulic analysis of a SGIR for the Limiting Conditions for Operation (LCO) is performed using TASS/SMR code. The TASS/SMR code can calculate the core power, pressure, flow, temperature and other values of the primary and secondary system for the various initiating conditions. The major concern of this sensitivity study is not the minimum Critical Heat Flux Ratio(CHFR) but the maximum leakage amount from the primary to secondary sides at the steam generator. Therefore the break area causing the maximum accumulated break flow is researched for this reason. In the case of a SGIR for the SMART-p, the total integrated break flow is 11,740kg in the worst case scenario, the minimum CHFR is maintained at Over 1.3 and the hottest fuel rod temperature is below 606"I during the transient. It means that the integrity of the fuel rod is guaranteed. The reactor coolant system and the secondary system pressures are maintained below 18.7MPa, which is system design pressure.

• Animal Bioscience
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• v.35 no.12
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• pp.1860-1870
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• 2022

Objective: The observation that temperate C₃ and tropical C₄ forage silages easily produce large amounts of ethanol or acetic acid has puzzled researchers for many years. Hence, this study aimed to assess the effects of epiphytic microbiota from C₃ forages (Italian ryegrass and oat) on fermentative products and bacterial community structure in C₄ forage (sorghum) silage. Methods: Through microbiota transplantation and γ-ray irradiation sterilization, the irradiated sorghum was treated: i) sterile distilled water (STSG); ii) epiphytic microbiota from sorghum (SGSG); iii) epiphytic microbiota from Italian ryegrass (SGIR); iv) epiphytic microbiota from oat (SGOT). Results: After 60 days, all the treated groups had high lactic acid (>63.0 g/kg dry matter [DM]) contents and low pH values (<3.70), acetic acid (<14.0 g/kg DM) and ammonia nitrogen (<80.0 g/kg total nitrogen) contents. Notably, SGIR (59.8 g/kg DM) and SGOT (77.6 g/kg DM) had significantly (p<0.05) higher ethanol concentrations than SGSG (14.2 g/kg DM) on day 60. After 60 days, Lactobacillus were predominant genus in three treated groups. Higher proportions of Chishuiella (12.9%) and Chryseobacterium (7.33%) were first found in silages. The ethanol contents had a positive correlation (p<0.05) with the abundances of Chishuiella, Acinetobacter, Stenotrophomonas, Chryseobacterium, and Sphingobacterium. Conclusion: The epiphytic bacteria on raw materials played important roles in influencing the silage fermentation products between temperate C₃ and tropical C₄ forages. The quantity and activity of hetero-fermentative Lactobacillus, Chishuiella, Acinetobacter, Stenotrophomonas, Chryseobacterium, and Sphingobacterium may be the key factors for the higher ethanol contents and DM loss in silages.