Hong-geun Kim

Location-Based Intelligent Robot Management Service Model Using RGPSi with AoA for Vertical Farm

The purpose of this paper is that intelligent robot control service model is one of the service model for a complete auto control system in vertical farm. This model provides environment monitoring service based on context-aware without human intervention in vertical farm. These service need to provide necessary accurate locations indoor environment based on Ubiquitous Sensor Network (USN). It will precisely monitor crop growth environment by intelligent robot using the indoor localization algorithm based on Ratiometric Global Positioning System iteration (RGPSi) with Angle of Arrival (AoA). Therefore, this model makes it possible to shorten operate time and to decrease workforce in vertical farm. It also will contribute to the complete auto control system of vertical farm on a large scale.

Optimization of a Hybrid Renewable Energy System with HOMER

Renewable energy harvesting is the best option as future energy source and there is no doubt about that. Greenhouse those are far from locality and offshore aqua farms, can make most efficient use of green energy harvesting. One negative approach about green energy that, it is unpredictable. So optimum planning of the resources to be included in a hybrid system and a determination of a perfect working strategy is very important. HOMER is one of the best used software for this optimum planning purpose due to its wide range of analyzing capacity and advanced prediction capability based on the sensitivity of the variables (sensitivity analysis). Moreover HOMER provides options to choose a perfect hybrid system from a large set of results arranged in the order of minimum to maximum cost of energy. This paper represents HOMER based optimum designing of a hybrid system including solar and wind resource for offshore area near about Suncheon, a city of South Korea.

Implementation of the Closed Plant Factory System Based on Crop Growth Model

The paper proposed the Closed Plant Factory System (CPFS) applied the crop growth model. The CPFS monitors climate data in a closed building or room and the actuator’s status for control devices, and provides optimized operations for controlling growth environments. The CPFS monitors environmental data, plant growth data and the control devices’ status data. This system can analyse the optimal growth environment and the correct control environment. We implemented the system and applied it to a testbed, also confirmed that the CPFS operated real-time monitoring service and controlling service correctly.

Modelling and Numerical Analysis of a Novel Wave Energy Converter

ABSTRACT This paper presents the numerical study of a new schematic for extracting marine energy through offshore wave energy harvesting and analyzes the design factors as well as environmental factors that create deviations in the energy efficiency. Though the device has some similarities to a traditional Backward Bent Duct Buoy, this invention is double-chambered and the whole power take-off set-up remains inside the device. It is a floating-type wave energy converter with a buoyancy material which can produce electric power from the movement of air inside the device from one chamber to another without interacting with the outside atmosphere which ensures device longevity and better performance of the system in rough ocean weather and normal weather alike. As the device has two chambers opposite to one another it can make efficient use of waves out of phase. The paper includes MATLAB simulated results for mechanical power obtainable from a bidirectional wind turbine inside the device.

An Android-Based Feed Behavior Monitoring System for Early Disease Detection in Livestock

The objective of this study was to develop an android based mobile application to analyze and prevent the possible disease in the early stage by monitoring the feeding behavior of the livestock. The proposed system secures the information such as feed intake, feeding time, rumination and the feeding rate through the Internet of Things equipped in the livestock farm. Every day feed intake and the feed intake rate are compared with the earlier day, a week before and a month before to find the tardiness or other possible disease in the livestock and an alert is sent to the farmers as text and as well as shown in the mobile application for immediate response. The proposed system is expected to contribute the enhancement of the productivity in the livestock farm, by preventing the disease at its early stage.

A Study on Using OWC with Battery Storage for Providing Power to Sensor Nodes in a Fish Farm

This paper describes the concept and idea of a project which addresses the use of an oscillating water column (OWC) to produce electricity from wave energy. This device is a partially submerged chamber with air trapped above the water surface. The aim of our project is to provide power to sensor nodes in a floating fish farm. The system uses Well’s Turbine as power take off (PTO) system, which is a bi-directional air turbine. Here we briefly discussed the working principle of OWC, Well’s turbine, power storage system, sensor nodes and given general idea of the system designed. As the system will be used in the sea area that is why it will be developed in a well-structured and more strengthened way and of course with less complexity that it can tolerate the harsh weather condition of the sea.

The Simulation Study on Harvested Power in Synchronized Switch Harvesting on Inductor

Different piezoelectric harvester interface circuits are demonstrated and compared through SPICE simulation. The simulations of the effect of switch triggering offset and switch on time duration on SSHI’s power are performed. The inductor’s quality factors in synchronized switch harvesting on inductor interface have important effect on the harvested power. Parallel SSHI shows the optimal output voltage to harvest the maximum power varies according to the Q severely. It is concluded that switch triggering offset has more impact on the s-SSHI than p-SSHI and the switch on-time duration is more important in case of the p-SSHI. p-SSHI shows when the on-time duration becomes more than 1.3 times or less than 0.7 times of exact duration time, the harvested power gets negligible. s-SSHI reveals the characteristics that when less than 1.5 times exact on-time duration, the harvested power varies significantly with the on-time duration.