• Journal of Internet of Things and Convergence
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• v.6 no.2
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• pp.11-18
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• 2020

Since the end devices of the Internet of Things (IoT) are battery operated products, careful consideration for ultra-low power (ULP) is required. The Micro Controller Unit (MCU) industry has developed very effective functions to save energy, but developers have difficulty in selecting the MCU because various operating modes are applied to reduce energy consumption by manufacturers. Therefore, this paper introduces ULPMark benchmark, a standardized benchmark method that can compare MCUs of various vendors and feature sets, and provides hardware functions for ultra-low-power operation of the two platforms that received the high evaluation scores from ULPMark. In addition, we investigated and analyzed how developers can utilize the functions for ultra low power consumption through driver APIs and detailed register control.

• Convergence Security Journal
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• v.8 no.4
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• pp.65-71
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• 2008

According to the capacity of hard disk drive is increasing day by day, the amount of data that forensic investigators should analyze is also increasing. This trend need tremendous time and effort in determining which files are important as evidence on computers. Using the file system APIs provided by Windows system is the easy way to identify those files. This method, however, requires a large amount of time as the number of files increase and changes the access time of files. Moreover, some files cannot be accessed due to the use of operating system. To resolve these problems, forensic analysis should be conducted by using the Master File Table (MFT). In this paper, We implement the file access program which interprets the MFT information in NTFS file system. We also extensibly compare the program with the previous method. Experimental results show that the presented program reduces the file access time then others. As a result, The file access method using MFT information is forensically sound and also alleviates the investigation time.

• The Journal of Bigdata
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• v.5 no.1
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• pp.181-188
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• 2020

As the size of the airport terminal grows in line with the rapid growth of aviation passengers, the advanced baggage handling system that combines various data technologies has become an essential element in order to handle the baggage carried by passengers swiftly and accurately. Therefore, this study introduces the method of analyzing the baggage handling capacity of domestic airports through the latest data analysis methodology from the process point of view to advance the operation of the airport BHS and the main points based on event log data. By presenting an accurate load prediction method, it can lead to advanced BHS operation strategies in the future, such as the preemptive arrangement of resources and optimization of flight-carrousel scheduling. The data used in the analysis utilized the APIs that can be obtained by searching for "Korea Airports Corporation" in the public data portal. As a result of applying the method to the domestic airport BHS simulation model, it was possible to confirm a high level of predictive performance.

• The Journal of Bigdata
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• v.5 no.1
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• pp.139-145
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• 2020

In the era of the 4th Industrial Revolution, the use of information based on AI APIs has a great influence on industry and life. In particular, the use of artificial intelligence data in the medical field will have many changes and effects on society. This paper is to study the necessary components to implement the "Cognitive Health Advisor model (CHA model)" and to implement the "CHA model using chatbot" based on this. It uses the open Cognitive chatbot to analyze and analyze the health status of users changing in their daily lives. The user's health information analyzed by the biometric sensor and chatbot consultation delivers the information to the user through the chatbot. And it implements a cognitive health advisor model that provides educational information for users' health promotion. Through this implementation, it intends to confirm the possibility of future use and to suggest research directions.

• Journal of Digital Convergence
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• v.9 no.2
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• pp.131-140
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• 2011

As the recent advances in network and wireless communications and semiconductor design and process technologies, our computing platform is rapidly shifting from desktop PCs to mobile devices such as UMPC (Ultra Mobile PC), Tablet PC, and Smartphone. Especially, wide-spreading Smartphones allow a new field of application based on location based services available with an user interface called augmented reality (AR). Therefore, this paper introduces an implementation of AR using various OpenAPls on Android Smartphones. In order to utilize enrich user data in real time, the system integrates with location based social network services also with OpenAPI. These APIs enable third-party developers to make use of rich contents of many portal web sites. The prototype was implemented on the real Android phone, Sky Sirius, and the result shows that it can provide an efficient location based service using AR technology without any constraints on mobile devices; in addition, it connects SNS to AR for sharing user data including photos, videos, and messages based on a specific location.

• International Journal of Industrial Entomology and Biomaterials
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• v.27 no.2
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• pp.219-227
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• 2013

The purpose of this study was to quickly and effectively identify the Nosema disease of bumblebees in Gangwon Province in Korea. Bumblebees are crucial pollinators of various crops, and microsporidia are the critical pathogens of these hosts. When bumblebees are infected with Nosema bombi, their abdomens can become distended. Paralyzed and infected workers often become sluggish and die early. We have identified the morphology of the microsporidium by light and electron microscopy, and found it to have fairly small oval spores, as has been described previously in many other articles. For the specific and sensitive diagnosis of the microsporidian parasite N. bombi in bumblebees, we have developed an improved method of the polymerase chain reaction (PCR) for expeditious diagnosis. Two pairs of primers were tested on N. bombi and the related microsporidia Nosema apis and Nosema sp., both of which infect Bombus ignitus and Bombus hypocrita sapporoensis. Furthermore, we have verified and analyzed the 16SrRNA sequence data of N. bombi in bumblebees by using the Basic Local Alignment Search Tool (BLAST) server at the National Center for Biotechnology Information.

• Bulletin of the Korean Chemical Society
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• v.28 no.6
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• pp.929-935
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• 2007

The objective of this study was to develop a rapid, simple, and qualitative acetylcholinesterase (AChE)- detection kit, based on a modification of the Ellman and ELISA methods, for the detection of organophosphorus (OP) and carbamate (CB) pesticide. The developed kits were used to screen a large number of agricultural samples (spiked and real) for OP and CB pesticide residues. AChE was extracted from the heads of honeybees (Apis mellifera L.) using Triton X-100, and was purified through 3 steps: diethylaminoethylcellulose chromatography (DEAE), affinity chromatography and membrane filtering, and Mono-Q column chromatography. Epoxy-activated Sepharose 6B affinity chromatography was used for large-scale purification. The presence of OP and CB pesticide residues in agricultural samples was assayed on the basis of AchE inhibition value. The presence (6 bands) or absence of some colored bands on the test line indicated a negative or positive result, respectively. The limits of detection for measured organophosphorus (OP) and carbamates (CB) pesticide residues in standard pesticide solutions and fortified samples were ranged from 0.50 to 2.50 ppm and 0.50 to 4.75 ppm, respectively.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.11-20
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• 2015

In this paper, we propose a context awareness system to transfer accurate information of the app store based on collective intelligence. By using collective intelligence the system minimizes the errors that could occur when an individual process the problems, recommends APIs for developers and builds the app store for not only customers but also developers. In addition, this system applies the ontology technique to aware the context of consumers, recommends the app suitable for the consumer and provides the information for app developers. By utilizing the deduction technique of the Jena, the context awareness system infers the context of a consumer and constructs the app store system which improves the existing app stores. In the point of service transfer and accuracy, the proposed app store system module show better performance than the existing app store.

• The Korean Journal of Air & Space Law and Policy
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• v.22 no.2
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• pp.155-175
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• 2007

As intellectual terror threats increase, we feel the limit in coping with those threats and the things we do are placing traditional X-ray machines & ETD and increasing aviation security staffs. In fact, even if air transportation system is the fast and most efficient transportation methods, it is true that there are many inconveniences to endure due to terror threats. In the name of security, even if we make a lot of efforts and time to screen both good-natured passengers, baggage, cargo and suspicious passengers, it is impossible to screen perfectly and it is not an efficient methods. Therefore, we introduce profiling system that reduce the effort to screen good-natured passengers but focus on screening dangerous passengers and baggages. Profiling system strengthens aviation security, using the concept "Selection & Concentration". Israel started to introduce manual profiling system in aviation security, which is interviewing suspicious passengers and it has been used in crime investigation since 1960. And it has been upgraded and diversified to CAPPS(Computer Assisted Passenger Screening Program) and SPOT(Screening Passenger by Observation). So, this theses is to study on the concept & kind of profiling and profiling methods adopted in airlines. Also it presents the method of introduction of profiling system in Korea and the necessity of making law on it.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.2
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• pp.521-533
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• 2010

The OSGi framework is a java-based service platform that can be remotely managed, providing an application life cycle management model, a service registry and an execution environment. Based on the framework, various OSGi layers, APIs, and services have been defined. A bundle is an application that can be executed in the OSGi framework, deployed through a bundle repository. Usually, bundles in the repository are accessible via a designated web page. Unfortunately, the current bundle repositories do not provide any kind of group access services and dynamic bundle installation and deployment. In this paper, we describe a WebDAV-Based OSGi bundle repository named WOBR, which supports effective group-based accesses. WOBR is composed of a WOBR bundle repository, a management bundle and an access bundle that interact with the bundle repository. The management bundle is for configuration of the WOBR bundle repository, managing group access facility to the repository. The access bundle provides access to the repository and search mechanism for the bundles. Additionally, it provides the life cycle management of the installed bundles on the local environment.