Seokil Song

Real Time Traceability and Monitoring System for Agricultural Products Based on Wireless Sensor Network

A system to monitor and trace the yields and distribution of agricultural products is an important precision agricultural application. The system can be used to predict the next years yields or provide the distribution channel of agricultural products from farmers to customers. Existing traceability and monitoring systems, usually, are implemented by using both wireless sensor network (WSN) and radio frequency identification (RFID) techniques. In this paper, we propose a system architecture that only requires WSN techniques and implement it. The implementing system consists of sensor nodes, communication hubs, a communication protocol, and an event detection engine. We define events to trace and monitor agricultural products, and our event detection engine detects those events by using the current location and the status of each sensor node. We describe the overall architecture of the proposed system and implementation details.

An Empirical Study on Agricultural Product Distribution Technology by Means of ICT Convergence

When it comes to the high distribution cost ratio of agricultural products, the major causes include lack of competition among distribution channels and inefficiency of distribution steps in addition to inevitable aspects such as the large volume and weight compared to the price, distance between producers and consumers, advanced types of consumption, gradual decomposition, and natural spoilage, the last two of which are primary factors that increase the distribution cost ratio. In general, agricultural products are vulnerable to supply shock, and thus price fluctuation rates are higher than those of industrial products. In particular, vegetables and fruits, which are difficult to keep fresh for a long period of time and easily affected by weather conditions, are of high price fluctuation rates. For these reasons, it is of urgent need to come up with ways to minimize natural spoilage and disposal in distribution of agricultural products. The suggested system provides various functions : a function to predict weight reduction of products during the storage and distribution process based on the analysis of data collected by the server to judge the level of quality deterioration.

An Empirical Study on Supporting System for Agricultural Product Storage Technology

Most of the existing agricultural product management systems based on ICT convergence are designed to trace the history of harvesting and distribution procedures or to monitor the growth process. ICT convergence management system needs to grow beyond the boundary of merely tracing the distribution history and monitoring growth environments; it should monitor environmental factors that affect agricultural products in the storage and distribution process, measure the level of deterioration based on the monitoring result, and thus reduce the rates of disposal due to quality deterioration. In addition, there should be a system to predict prices of agricultural products and to determine the best timing of sales so that farmers can sell goods at reasonable prices. This study relates the basic structure and functions of this system and presents the result of the empirical research project.

Processing Moving Objects and Traffic Events Based on Spark Streaming

In this paper, we propose a processing method that can rapidly process moving objects and traffic event data based on Spark Streaming. The proposed system enables to share information about surrounding vehicles, pedestrians, and traffic events in real time with drivers who use the WEVING service. In the proposed method, vehicle location and traffic event streams are indexed using the grid indexing technique according to time, and the continuous range query method is processed based on the index. Also, traffic events are grouped based on occurrence time, location, content, and road segment of the traffic event transferred in real time in order to avoid duplicated traffic events.

Case Studies on Distribution Environmental Monitoring and Quality Measurement of Exporting Agricultural Products

In this paper, we present monitoring the distribution environmental factors for exporting agricultural products in real time based on sensor networks and packaging technologies, and how the distribution environmental factors would influence the quality of agricultural products has been studied by measuring the actual quality of agricultural products when this distribution process has been completed. For this, sensor nodes and communication system, optimized to a monitoring process for the distribution environmental factors of agricultural products, have been designed and implemented. With the paprika exported to overseas, information on temperature/humidity/path (distribution environmental factors) has been monitored in real time. The possibility of utilization of sensor networks based distribution environmental factors monitoring technology could be verified through such case studies.

Demo: Human-Interactive Hardware-In-the-Loop Simulator for Cooperative Intelligent Transportation Systems and services

In this demo, we introduce a Human-Interactive Hardware-In-the-Loop Simulation (HI2LS) framework for evaluating Cooperative Intelligent Transportation Systems (C-ITS) and road safety services. C-ITS is a complex system consisting of Wireless Access in Vehicular Environments (WAVE) communication devices, Human-Machine Interface (HMI), and computing elements to evaluate collision risk. Furthermore, C-ITS and services require the high reliability in a complicated operating environments including the human factors, and thus system testing is very important and essential process. In this demo, we propose a HI2LS framework for designing and evaluating road safety systems based on vehicle-to-vehicle/-infrastructure (V2X) communications. It enables developers to evaluate their road safety system designs in a wide range of virtual traffic environments and road conditions, which can replace dangerous and time-consuming field tests while guaranteeing the high reliability.

Shipment Timing Support System Modeling for Stored Apples in Korea

Although, in academic field, various industries has its own retail price management system from the customers’ point of view, the report of application of wholesale price management in practice, especially in agricultural industry, has been relatively rare from producers’ perspectives. The researcher aims to try to full this gap by developing a shipment timing support system for stored apples based on the transaction quantity and the wholesale price information announced by Seoul Agricultural & Marine Products Corporation at on-line. The Shipment Timing Support System(STSS) consists of the dynamic price response function for each product, the price expectation effect, product line effect, substitutes price effect, events effect, apples’ life cycle, the demand curve for apples and cost function. The resulting fluctuation of the expected sales revenue for every product they store in warehouse will be provided by the application on smart phone. The system will helpful for farmers and wholesalers to decide the time for shipment from warehouses to wholesale markets, and to increase the opportunities to produce more money in farmers pockets.

An optimistic concurrency control algorithm for mobile ad-hoc network databases

With the rapid growth of database applications, wireless networking technology and mobile computing devices, there is a demand for processing mobile transactions in Mobile Ad-hoc Network (MANET) databases, so that mobile users can access and manipulate data anytime and anywhere. However, in order to guarantee timely and correct results for multiple concurrent transactions, concurrency control (CC) techniques become critical. Due to the characteristics of MANET databases, existing CC algorithms cannot work effectively. In this paper, we propose a CC algorithm called Sequential Order with Dynamic Adjustment (SODA) for MANET databases. In the design of SODA, the major characteristics of MANET databases are taken into consideration. SODA is based on optimistic CC to offer high concurrency and avoid unbounded blocking time, utilizes the sequential order of committed transactions to improve response time, and dynamically adjusts the sequential order of committed transactions to reduce aborts. The simulation results confirm that SODA has lower abort rate than other existing techniques.

Dynamic Load Balancing Data Centric Storage for Wireless Sensor Networks

In this paper, a new data centric storage that is dynamically adapted to the work load changes is proposed. The proposed data centric storage distributes the load of hot spot areas to neighboring sensor nodes by using a multilevel grid technique. The proposed method is also able to use existing routing protocols such as GPSR (Greedy Perimeter Stateless Routing) with small changes. Through simulation, the proposed method enhances the lifetime of sensor networks over one of the state-of-the-art data centric storages. We implement the proposed method based on an operating system for sensor networks, and evaluate the performance through running based on a simulation tool.

GDCS : Energy Efficient Grid based Data Centric Storage for Sensor Networks

In this paper, new data centric storage that is dynamically adapted to the change of work load is proposed. The proposed data centric storage distributes the load of hot spot area by using multilevel grid technique. Also, the proposed method is able to use existing routing protocol such as GPSR (Greedy Perimeter Stateless Routing) with small changes. Through simulation the proposed method enhances the lifetime of sensor networks over one of the state-of-the-art data centric storages. We implement the proposed method based on a operating system for sensor networks, and evaluate the performance through running based on a simulation tool.