Nam-Jin Bae

A Smart Service Model Based on Ubiquitous Sensor Networks Using Vertical Farm Ontology

Application of the technology systems is growing in various fields and the agriculture is not an exception. Agriculture is also reaping the benefits of technological innovation which helps in quantitative and qualitative food production. Vertical farm, one of the agricultural practices, is considered to be the future of agriculture with the rate of population migrating into urban areas. Ubiquitous computing in agriculture is emerging remarkably in this fast processing pervasive environment, owing to wireless sensor network (WSN). Building a context aware system for the vertical farm is complex without the semantic interoperability between the Internet of things (IOT). In this paper, we propose a vertical farm ontology (VFO), an OWL based ontology model which helps in more understanding of the relationship between the domain factors. With the proposed model, the information from the Internet of things is recomposed as context information and made understandable for the other systems. For the sake of agriculture, we hope that our proposed model will pave great path for the development of smart and intelligent agricultural services.

An Approach for a Self-Growing Agricultural Knowledge Cloud in Smart Agriculture

Typically, most of the agricultural works have to consider not only fixed data related with a cultivated crop, but also various environmental factors which are dynamically changed. Therefore, a farmer has to consider readjust the fixed data according to the environmental conditions in order to cultivate a crop in optimized growth environments. However, because the readjustment is delicate and complicated, it is difficult for user to by hand on a case by case. To solve the limitations, this paper introduces an approach for self-growing agricultural knowledge cloud in smart agriculture. The self-growing agricultural knowledge cloud can offer a user or a smart agricultural service system the optimized growth information customized for a specific crop with not only the knowledge and the experience of skillful agricultural experts, but also useful analysis data, and accumulated statistics. Therefore, by using the self-growing agricultural knowledge cloud, a user can easily cultivate any crop without a lot of the crop growth information and expert knowledge.

A Novel Model for Greenhouse Control Architecture

This paper proposed the Greenhouse Control System (GCS) for high adaptability in greenhouse control devices and application services. The system is divided into the Greenhouse Control Engine (GCE) and the Crop Growth Engine (CGE). The GCE consists of Data Aggregator (DA), Greenhouse Information Storage (GIS), and Greenhouse Control Agent (GCA). The GCA includes Information Analyzer (IA), Control Device Selector (CDS), and Greenhouse Model (GM). The GCA selects control devices by referencing the aggregated greenhouse’s information and the climate set-points. In this process, we apply the arbitrary greenhouse model to the GCA. And the CGE consists of Crop Status Information Storage (CSIS) and Crop Growth Agent (CGA). The CGA decides the climate set-points by applying the arbitrary crop growth model. The CGA has Crop Condition Predictor (CCP), Environment Set-points Decisioner (ESD), and Crop Growth Model (CGM). By interacting of each component, this system provides with the greenhouse control service and the crop growth prediction service. The greenhouse control service monitors the inside and outside climate of a greenhouse and controls the control devices of a greenhouse on the GCA. The crop growth prediction service predicts the crop growth status by considering the meteorological data and business data. Finally we showed the executing result by implementing the GCS.

An OWL-Based Ontology Model for Intelligent Service in Vertical Farm

Recently, the agriculture is undergoing a technical drift in both innovation and technology. As a result, we have vertical farming which helps to increase the rate of food production tremendously, with the appropriate environmental factors in middle of the urban areas. Many researches have been undergone in the agricultural environment, which mainly focused on the smart services in the u-agriculture environment. Ubiquitous computing is one of the major developing technology in this fast evolving pervasive environment. Building a context aware system for the vertical farm is still complex without the shared understanding of the domains which can also be referred as set of entities, relations, functions and services. To resolve this issue, we propose the OWL based ontology model which defines the relationship between the domain factors that helps in both monitoring and controlling services of vertical farm. We have classified the basic concepts for the vertical farm environment which can be extended according to the domain of interest.

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.

Smart Logistics Service Model Based on Context Information

The Services in the recent logistics environment aims for situation information based logistics service centered around the user by utilizing various IT technologies such as mobile devices, computer systems, and GPS. This thesis proposes a smart logistics service model for providing web-based intelligent logistics service by utilizing smartphones in a smart environment. The proposed service model can use not only the basic logistics delivery information but also the location information and situation information of the delivery vehicle and user as the determining factor information for logistics delivery route and scheduling decisions, and can provide user-based smart logistics delivery service. Through this service model, it is possible to engage in the development applied with various IT logistics convergence services based on situation information between deliverer and user which occurs in real-time.

Environment Control Model of Intelligent Plant Factory Using Context Based of Sensing Data

Recently, according to rapid development and distribution of IT technology, various researches that adopt IT technologies to all the existing technologies have been conducted. However, among current IT converged agricultural technology, system which controls environment of plant factory is subordinate to particular system and has a weakness that it is hard to handle intelligently the various exceptional situations which may occur in plant factory environment without intervention of human. Thus, this research provides environmental control service which can handle intelligently the possible exceptional situations which may occur in various situations as building ontology by defining each relation such as environmental factor and control factor necessary for cultivating crops in vertical farm.

Context-Aware Control Service Model Based on Ontology for Greenhouse Environment

IT fusion service of every kind is having the limelight in various fields lately. Agriculture area which inevitable in development of human civilization is also trying development of various IT fusion service, and the method that efficiently cultivates various crops with automatic control as an example of these service. However, most of these services have weakness that intervention of human is inevitable for exception with various variables. Therefore, this thesis proposes ontology based context aware environment control service model that could actively deal with exceptions that could happen in actual greenhouse cultivation environment without human intervention by defining relationship between each environmental factors and control factors by utilizing ontology.

A Study on the Location-Based Reservation Management Service Model Using a Smart Phone

This paper suggests a location-based reservation management service model that can manage various reservation services and provide related information to users through their smart phones in real-time. The proposed service model is based on a smart phone to relieve inconvenience of existing reservation systems that have limited access effectiveness in space and time or long waiting time. To improve service satisfaction, the proposed service model includes a service server to manage highly qualified and reliable reservation schedules with user’s location information from smart phones, and a client to support users to make their application plans through intuitive user interfaces. Therefore, the proposed model can help users to save a long waiting time in various service places, for example food stores, banks, and government office customer service centers.

A Study of Robot-Based Context-Aware Fire Escape Service Model

Most of buildings in modern society become bigger and higher, the fire can cause serious damage in such as a large and complex building. Because of this, escape environment is very important when the fire occurs in the building. This paper suggests Robot-based Context-Aware Fire Escape Service Model that can provide optimal escape routes considering fire information and context to user through user’s smart phone with real time. The service model provides safe escape routes to user who did not find an escape route from disaster situation through smart phone and robot. In addition, the service model can expect rapid fire suppression and minimal expected casualty by teaching the present information in building to the rescue party.