• Journal of Internet Computing and Services
• /
• v.17 no.6
• /
• pp.17-23
• /
• 2016

In the future network such as Internet of Things (IoT), the number of computing devices are expected to grow exponentially, and each of the things communicates with the others and acquires information by itself. Due to the growing interest in IoT applications, the broadcasting in Opportunistic ad-hoc networks such as Machine-to-Machine (M2M) is very important transmission strategy which allows fast data dissemination. In distributed networks for IoT, the energy efficiency of the nodes is a key factor in the network performance. In this paper, we propose a fuzzy logic based probabilistic multi-hop broadcast (FPMCAST) algorithm which statistically disseminates data accordingly to the remaining energy rate, the replication density rate of sending node, and the distance rate between sending and receiving nodes. In proposed FPMCAST, the inference engine is based the fuzzy rule base which is consists of 27 if-then rules. It maps input and output parameters to membership functions of input and output. The output of fuzzy system defines the fuzzy sets for rebroadcasting probability, and defuzzification is used to extract a numeric result from the fuzzy set. Here Center of Gravity (COG) method is used to defuzzify the fuzzy set. Then, the performance of FPMCAST is evaluated through a simulation study. From the simulation, we demonstrate that the proposed FPMCAST algorithm significantly outperforms flooding and gossiping algorithms. Specially, the FPMCAST algorithm has longer network lifetime because the residual energy of each node consumes evenly.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.23 no.11
• /
• pp.1248-1255
• /
• 2012

LDPC decoder architectures are generally classified into serial, parallel and partially parallel architectures. Conventional method of LDPC decoding in general give rise to a large number of computation operations, mass power consumption, and decoding delay. It is necessary to reduce the iteration numbers and computation operations without performance degradation. This paper studies horizontal shuffle scheduling(HSS) algorithm and self-correction normalized min-sum(SC-NMS) algorithm. In the result, number of iteration is half than conventional algorithm and performance is almost same between sum-product(SP) and SC-NMS. Finally, This paper implements high-speed LDPC decoder based on FPGA. Decoding throughput is 816 Mbps.

• Journal of Korean Society for Quality Management
• /
• v.46 no.4
• /
• pp.899-910
• /
• 2018

Purpose: Generally, since the population density is lower in suburban areas, the distance to school is inevitably long. Therefore, schools in suburban areas often operate school buses to improve student welfare. However, since school buses are usually used only during going to and from school, the utilization rates are relatively low. Therefore, this study aims to establish integrated operation plan of public school bus covering all schools. Methods: It is necessary to decide which school buses will serve the specific demand node which want to go to certain school in order to design an integrated operation plan for school buses. Therefore, a mathematical model is developed for minimizing the total number of vehicles and the distance of transportation by reflecting the characteristics of school buses and students as constraints. To solve the proposed mathematical model, CPLEX, a commercial solver, is applied. Results: To validate and to confirm the proposed process, numerical example is designed with the comparison between before and after integrated operations of school buses in terms of total operation cost. The result shows that the integrated operation can lead the reduction of the number of school buses as well as the decreasing of the fuel cost. Conclusion: This study provides the quantitative method to perform the integrated operation of school buses in suburban areas. The optimal operation strategy is required because there are more complex decision-making elements considering the integrated operation. It is expected to apply this research result at real situation to expand this services based on an optimal operation.

• Korean Journal of Soil Science and Fertilizer
• /
• v.44 no.6
• /
• pp.1112-1117
• /
• 2011

This study was conducted to recommend nitrogen (N) top dressing based on soil nitrate content for leaf perilla under forcing culture in Gumsan-gun and Milyang-si. Experimental design was the randomized complete block design for five N fertilization levels and conventional fertilization. Dry weight, nitrogen uptake, and the node number of leaf perilla were measured and soil nitrate contents were analyzed monthly. The amount of nitrogen uptake for growth of a node with two leaves was $2.2kg\;10a^{-1}$ for Gumsan site and $3.5kg\;10a^{-1}$ for Milyang site. Lower level of soil nitrate N concentration for standard N fertilization was determined as $10mg\;kg^{-1}$ for both sites. Soil depth, bulk density, utilization rate of soil nitrate N, and the amount of N uptake for growth of a node with two leaves were considered for calculation of upper level of soil nitrate N concentration. The upper levels of soil nitrate N concentration for no N fertilization were determined as $30mg\;kg^{-1}$ for Gumsan site and as $40mg\;kg^{-1}$ for Milyang site. Consequently the recommendation equations for the N top dressing were Y=-0.157X+4.71 for Gumsan site and Y=-0.1667X+6.6667 for Milyang site.