Jae-gu Song

Research on a Denial of Service (DoS) Detection System Based on Global Interdependent Behaviors in a Sensor Network Environment

This research suggests a Denial of Service (DoS) detection method based on the collection of interdependent behavior data in a sensor network environment. In order to collect the interdependent behavior data, we use a base station to analyze traffic and behaviors among nodes and introduce methods of detecting changes in the environment with precursor symptoms. The study presents a DoS Detection System based on Global Interdependent Behaviors and shows the result of detecting a sensor carrying out DoS attacks through the test-bed.

A Study on Ontology Based Medical Information System for Home Healthcare

Miniaturizations of IT devices, makes home healthcare information services possible. Introduction of diversified medical information collection devices supported diversified number of medical information to be collected. However, such introduction has geometrically increased volume of medical information collected in comparison to previously. Therefore, difficulties are faced in managing and processing such information and information sharing among various medical information devices is becoming difficult as well. The study as a research on applied ontology for expressing medical knowledge wants to integrate logical and structural method of approaching of information and wants to effectively manage and provide information generated during medical diagnosis activities through information sharing among medical information devices. Especially, through integration with home healthcare system, the study wants to apply medical knowledge center, consultation center or home healthcare support system to provide technical medical terminologies that are used by doctors to clear up understanding to patients.rapidly, much attention has been paid on the use of spectrum resources. Recently, a new technology called Cognitive Radio (CR) was developed for using the unused spectrum band efficiently. In the CR systems, one possible approach is to allocate the unused spectrum band to the usage spectrum band provided by spectrum sensing technique. In this paper, we propose a new spectral correlation based signal feature detection method for spectrum sensing. To improve spectrum sensing sensitivity, the proposed method computes the autocorrelation of received signal before the spectral correlation detection. Simulation results show that the proposed method provides better performance of spectrum sensing than conventional spectral correlation detection method even in the low SNR environment. Index Terms--Cognitive radio, Cyclostationary, Spectrum sensing.

Trends in M2M Application Services Based on a Smart Phone

M2M, which stands for communications between machines, offers various services today thanks to advanced communication networks and sensor systems. Also, a powerful terminal such as a smart phone provides sufficient physical environments, not requiring a special device for the services. However, the smart phone M2M environment involves various complex technologies, and there have been no clear policies or standards for the technology. This study, therefore, analyzes the current status of M2M service introduction and the trends in M2M application services using a smart phone.

A Study on Software-based Sensing Technology for Multiple Object Control in AR Video

Researches on Augmented Reality (AR) have recently received attention. With these, the Machine-to-Machine (M2M) market has started to be active and there are numerous efforts to apply this to real life in all sectors of society. To date, the M2M market has applied the existing marker-based AR technology in entertainment, business and other industries. With the existing marker-based AR technology, a designated object can only be loaded on the screen from one marker and a marker has to be added to load on the screen the same object again. This situation creates a problem where the relevant marker’should be extracted and printed in screen so that loading of the multiple objects is enabled. However, since the distance between markers will not be measured in the process of detecting and copying markers, the markers can be overlapped and thus the objects would not be augmented. To solve this problem, a circle having the longest radius needs to be created from a focal point of a marker to be copied, so that no object is copied within the confines of the circle. In this paper, software-based sensing technology for multiple object detection and loading using PPHT has been developed and overlapping marker control according to multiple object control has been studied using the Bresenham and Mean Shift algorithms.

A study on applying context-aware technology on hypothetical shopping advertisement

In this study, a method of implementation of cyber shopping services within a smart home environment with the use of sensor technology is proposed. This proposed model uses Radio Frequency Identification tag, Ubiquitous Sensor Network and TinyOS in order to transmit information to mobile interfaces. The residents and product information is collected and classified according to proposed categorization module and will generate the residents’ needed product advertisement. This proposed method of implementation provides an effective and convenient cyber shopping service environment to residents within their smart home environment and defines the service providers who support the cyber shopping.

A Study on M2M-based System for Hygienic Meteorology Service

M2M proposes a standardized communications technology between network and devices. This study has designed an M2M-based system to smoothly deliver information between devices which were required to provide hygienic meteorology services. Especially, an efficient plan for service provision has been studied, by classifying the types of information at each stage of user, EM, SM, HSM and SPM.

Designing Tag Based Status Identification Control System to Provide Information From uHealthcare Environment

Status data identification in ubiquitous computing is studied as the method of providing optimum service to the user. The study is most active in Healthcare field, which is considered as the essential factor in human life. Studies have been conducted in the past which utilized analysis of information taken from sensors to obtain corresponding status information of the patient. However, applying the information obtained from such data had its limitations due to lack of researches done on methods of controlling and distributing such status information. This study suggests a solution for managing status information through tag matching method in order to effectively provide status information from uHealthcare. The suggested model shows slight delay in data process when information is produced, but an improved ability during information search by utilizing tagged information.

Towards a Mobile and Context-Aware Technology Based Healthcare System

We are studying the process of accounting for context awareness for mobile information technology solutions in the healthcare sector. We consider the needs of context- aware information technology, its requirements and its delivery from intelligent and ubiquitous sensors through middleware. We discuss the state of the art and the processes that we deem important to advance the realization of powerful context-aware technology that offers new possibilities, services, and economies to the healthcare sector.

Design of context-aware middleware for mobile healthcare services

We design and develop a context-aware middleware for various mobile healthcare services, specifically those for preventive medicine. The middleware provides medical status information in a context form and then links such information with medical records. Information is collected by the middleware through the recognition of diverse environmental data that affect patients’ health. Information-to-information-related values are obtained as a measure for effectively categorizing and managing medical-related context information. High-frequency context values are determined using the Bayesian probability formula to manage frequently occurring risk situations. The middleware also allows for real-time analysis of information, as well as the calculation of risk frequency via a real-time sensor and recognition of radio frequency identification tag information. It is designed to transmit calculated and preventive care-related information to mobile devices. Using the unique target application program of the ubiquitous healthcare system, the general environment and preventive medicine environment are set as the primary paradigms for generating and managing practical medical context information. This research presents methods for providing automated preventive medical services under a ubiquitous healthcare system. The proposed middleware is expected to present new interactive concepts for preventive medicine-related environments, consequently satisfying the demands of user-oriented ubiquitous healthcare.

Research on LBS-Based Context-Aware Platform for Weather Information Solution

Mobile solutions using LBS (Location based Service) technology have significantly affected development of various application programs. Particularly, application technology using GPS-based location information and load map is essential to smartphone application. In this study, we designed a context-aware processing module using location and environment information in order to apply weather information to LBS-based services. This research is expected to provide various application services according to personal weather environments.