Kyo Suh

Leveraging Socially Networked Mobile ICT Platforms for the Last-Mile Delivery Problem

Increasing numbers of people are managing their social networks on mobile information and communication technology (ICT) platforms. This study materializes these social relationships by leveraging spatial and networked information for sharing excess capacity to reduce the environmental impacts associated with last-mile package delivery systems from online purchases, particularly in low population density settings. Alternative package pickup location systems (PLS), such as a kiosk on a public transit platform or in a grocery store, have been suggested as effective strategies for reducing package travel miles and greenhouse gas emissions, compared to current door-to-door delivery models (CDS). However, our results suggest that a pickup location delivery system operating in a suburban setting may actually increase travel miles and emissions. Only once a social network is employed to assist in package pickup (SPLS) are significant reductions in the last-mile delivery distance and carbon emissions observed across both urban and suburban settings. Implications for logistics managements decades-long focus on improving efficiencies of dedicated distribution systems through specialization, as well as for public policy targeting carbon emissions of the transport sector are discussed.

Reliability Analysis for Price Forecasting of Chinese Cabbage

Generally the price of agricultural products has much different characteristics from that of manufacturing products. If products have the limitation of long-term storage and the short period of cultivation, the price of products can be more unstable. Moreover, the price forecasting is very difficult because it doesn`t follow any cycle or trend. However price can be regarded as risk instead of uncertainty if we can calculate the probability of price. Reliability analysis techniques are used for forecasting the price change of Chinese cabbage. This study aims to show the usability of reliability analysis for price forecasting. A price-forecasting model was developed based on weather data of the first 10 days of the full cultivating cycle (80 days) 70 days and the average price and standard deviation of wholesale market prices from 1996 to 2001 and applied to forecast the boom price, or the orice which is over the tolerance of market prices, of upland Chinese cabbage in 2002 and 2003. Applied results showed the possibility of boom price forecasting using reliability analysis techniques.

Effective Classification Framework Design and Implementation for Rural Regional Information using Principal Component Analysis and Cluster Analysis

For planning and developing rural regions, it is very important to understand and utilize regional characteristics including social, demographic, and economic aspects. The purpose of this study is to find effective analysis techniques and provide a procedure design for mining regional characteristics in South Korea through reviewing and analyzing 41 related studies. The engaged research methods can be classified into five categories (PCA+CA, PCA, CA, GIS, and PCA+GIS) with the combination of three methodologies: principal component analysis (PCA), cluster analysis (CA), and geographical information system (GIS). The combination of PCA and CA occupied about 40 % of research methods used in related studies. The analysis tool of Korean Rural Information Supporting System (KRISS) is designed based on the outcomes of this study and applied to classify the regional capacity of agriculture using agricultural census data (2000) for evaluating its applicability.

Implications of corn prices on water footprints of bioethanol

Previously reported water footprints (WFPs) of corn ethanol have been estimated based on the assumption that corn ethanol feedstock could be supplied by the same states where the corn is grown. However, ethanol conversion facilities may choose out-of-state feedstock suppliers depending on the total price of feedstock they have to pay including both the corn price and transportation costs. The purpose of this study is to evaluate the WFPs and total water use (TWU) of corn ethanol considering an optimal allocation of corn with heterogeneous corn feedstock prices across states. The results show that the WFPs of corn ethanol are less than 100 l of water per liter of ethanol (Lw/Le) for all ethanol-producing states based on both the 2008 corn price and transportation costs for rail and truck. Results also reveal that WFPs are very sensitive to the market price of corn and that additional greenhouse gas emissions due to corn trade between states are not significant.

Development of a Truss Structure Analysis Model based on Cellular Automata and Object-oriented Simulation Environment

The aim of this study is to develop a simulation model for analyzing 2D truss structure using Generic Agricultural System Simulator (GASS). Although the truss is simple structure, numerical methods based on matrix analysis are cumbersome and complicated. This study suggests simple and convenient methods to remove calculating steps for whole stiffness matrices. The simulation environment based on independency of object-oriented components on GASS consists of component development and component deploy stages. A component for a truss structure is implemented based on equilibrium equations at nodes. The simulator can analyze truss structures through deploying components with attributes and links. The examples using GASS show intuitive graphical results of the movements of truss nodes.

Analysis of Network Chain using Dynamic Convolution Model

Many classification studies for the community of densely-connected nodes are limited to the comprehensive analysis for detecting the communities in probabilistic networks with nodes and edge of the probabilistic distribution because of the difficulties of the probabilistic operation. This study aims to use convolution method for operating nodes and edge of probabilistic distribution. For the probabilistic hierarchy network with nodes and edges of the probabilistic distribution, the model of this study detects the communities of nodes to make the new probabilistic distribution with two distribution. The results of our model was verified through comparing with Monte-carlo Simulation and other community-detecting methods.

Reliability Analysis of the Non-normal Probability Problem for Limited Area using Convolution Technique

Appropriate random variables and probability density functions based on statistical analysis should be defined to execute reliability analysis. Most studies have focused on only normal distributions or assumed that the variables showing non-normal characteristics follow the normal distributions. In this study, the reliability problem with non-normal probability distribution was dealt with using the convolution method in the case that the integration domains of variables are limited to a finite range. The results were compared with the traditional method (linear transformation of normal distribution) and Monte Carlo simulation method to verify that the application was in good agreement with the characteristics of probability density functions with peak shapes. However it was observed that the reproducibility was slightly reduced down in the tail parts of density function.

Evaluations of Potential Biofuels and Environmental Implications with Latent Biomass Resources in South Korea

Biofuel based on available biomass in rural area could contribute to increase the vitality and income of rural residents. This study estimates the potential production and environmental benefits of biofuel production from surplus rice, rice straw, cow manure, and food waste in South Korea. We could produce about 2.4 billion liters of ethanol using surplus rice and rice straw and 841 million of methane from cow manure and food waste. 1.7 billion liters of gasoline and 800 million liters of diesel could be replaced with these potential biofuel productions, which can annually reduce 4.9 million ton eq. GHGs.

Development of a Korean Rural Information Support System: Integrated Database Design for Rural Data in South Korea

The Korean rural information support system (KRISS) followed up classic DSS design. This paper shows the database part of the system, efficient database design for KRISS. For supporting decision making of rural regions the system should have proper database schema through broad investigation and analysis of extant statistical data because rural regions have various and typical characteristics. The system database should be designed for integrated schema and constructed for supporting the decision making. The characteristics of rural data can be divided into industrial and social categories. ‘National Agricultural Statistics (NAS)’ and ‘County Annual Statistical Report (CASR)’ are representative statistical data in each category so the system adapted the analysis result. OLAP (Online Analytical Processing) is selected for improving query speed although a standard, normalized database structure is usually OLTP (Online Transaction Processing). The system database was applied to 2000 statistical data set including Agricultural Census Report (ACR) and County Annual Statistics Report (CASR) and tested related to speed and reliability.

Design of Irrigation Facility using Evolutionary Structural Optimization

In order to determine the reinforcement location in the reinforced concrete irrigation nfacility, ESO method has been adopted. Reinforcing is located at tension part of load path. In nthis study, the load path of reinforced concrete member has been determined using ESO nmethods. Furthermore, using study methods, reinforcement problem has been nconsidered. The ESO techniques is determined the reasonable load path which is traveling of nload between in-flow and out-flow at a concrete structure using numerical analysis. And the nresults applied to the steel arrangement in reinforced concrete structures. The optimal algorithm, nwhich determines the terminal criteria during ESO process, has been updated by using the nobtained results. And the load path within the member has been determined automatically.