• Journal of Internet Computing and Services
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• v.22 no.1
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• pp.99-107
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• 2021

With the recent establishment of a ubiquitous-based medical and healthcare environment, the medical information system for obtaining situation information from various sensors is increasing. In the medical information system environment based on context-awareness, the patient situation can be determined as normal or emergency using situational information. In addition, medical staff can easily access patient information after simple user authentication using ID and Password through applications on smart devices. However, these services of authentication and patient information access are staff-oriented systems and do not fully consider the ubiquitous-based healthcare information system environment. In this paper, we present a authentication service model based context-awareness system for providing situational information-driven authentication services to users who access medical information, and implemented proposed system. The authentication service model based context-awareness system is a service that recognizes patient situations through sensors and the authentication and authorization of medical staff proceed differently according to patient situations. It was implemented using wearables, biometric data measurement modules, camera sensors, etc. to configure various situational information measurement environments. If the patient situation was emergency situation, the medical information server sent an emergency message to the smart device of the medical staff, and the medical staff that received the emergency message tried to authenticate using the application of the smart device to access the patient information. Once all authentication was completed, medical staff will be given access to high-level medical information and can even checked patient medical information that could not be seen under normal situation. The authentication service model based context-awareness system not only fully considered the ubiquitous medical information system environment, but also enhanced patient-centered systematic security and access transparency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.4228-4236
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• 2015

Due to the rapid advance in web and mobile computing technologies, normal users have become to produce, provide, and share a varied form of spatial data and information. In the domain of spatial information, numerous researches on GIS have been conducted to provide spatial information services based on a geo-sensor network and a data integration and processing technology. However, to provide user-oriented information, a context information model is necessary to associate GIS data with web and sensor data. Context awareness services is designed to provide specific information, minimizing users' interference. For which, the context information model expresses the relationship of various data from sensor networks and mobile applications and provides a user-specific information considering location and area of interest. Thus, this research aims to develops a context information model based air-pollution information system that obtains and analyses air pollution data and reflects the analysis results on an air-pollution policy. Also, this system aims to raise citizens' awareness on air-pollution and to promote citizens' participatory to improve city's air quality.

• Journal of Digital Contents Society
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• v.10 no.3
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• pp.469-477
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• 2009

This study is about Augmentative and Alternative Communication as handicapped people actively pursue their life. Especially, although there are many ways and devices for communicating the same as a normal person, descriptive supplementation and sustaining studies are needed for perfect communication as a normal person. The purpose of the paper is to help handicapped people who have hardships about communication. This study develops the function of Smart Workflow AAC(Augmentative and Alternative Communication) and IR sensor_based context aware function that can offer services convenient to classified handicapped people for helping them to communicate effectively. This system from an experimental basis has improved efficiency to communicate more harmoniously within individual handicapped situations to schedule management and communication of handicapped people.

• Structural Engineering and Mechanics
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• v.81 no.4
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• pp.503-511
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• 2022

In this article, we have examined the effect of fractional order parameter in a two-dimensional orthotropic magneto-thermoelastic solid in generalized thermoelasticity without energy dissipation with fractional order heat transfer in the context of hall current, rotation and two-temperature due to normal force. Laplace and Fourier transform techniques are used to obtain the solution of the problem. The expressions for displacement components, stress components, current density components and conductive temperature are obtained in transformed domain and then in physical domain by using numerical inversion method. The effect of fractional parameter on all the components has been depicted through graphs. Some special cases are also discussed in the present investigation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.4
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• pp.744-751
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• 2008

Ubiquitous computing is a new paradigm of telecommunication technology and is embedded with advanced computing technology to process a large amount of data in a normal environment. Generally, ail equipment is embedded with sensors and operating devices to interaction with communication functions. That is why ubiquitous computing must be able to access any devices anywhere at anytime in order to perform appropriate functions. Unfortunately, however, it is difficult to make an optimized design for applications which can effectively interaction with various functions in distributed environment like ubiquitous computing. Therefore, this paper is aimed at deploying interface with server nodules and virtual prototyping by utilizing LabVIEW and embedded application software with additional network function. In addition, given information about sensors collected from context-awareness and location-awareness, it will suggest the ideal ubiquitous application based on context-awareness and apply the advanced application to device control and monitoring through context awareness of lab.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2839-2852
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• 2013

Context-awareness is an essential part of ubiquitous computing, and over the past decade video based activity recognition (VAR) has emerged as an important component to identify user's context for automatic service delivery in context-aware applications. The accuracy of VAR significantly depends on the performance of the employed human body segmentation algorithm. Previous human body segmentation algorithms often engage modeling of the human body that normally requires bulky amount of training data and cannot competently handle changes over time. Recently, active contours have emerged as a successful segmentation technique in still images. In this paper, an active contour model with the integration of Chan Vese (CV) energy and Bhattacharya distance functions are adapted for automatic human body segmentation using depth cameras for VAR. The proposed technique not only outperforms existing segmentation methods in normal scenarios but it is also more robust to noise. Moreover, it is unsupervised, i.e., no prior human body model is needed. The performance of the proposed segmentation technique is compared against conventional CV Active Contour (AC) model using a depth-camera and obtained much better performance over it.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.13 no.1
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• pp.23-27
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• 2002

The purpose of the study is to examine differences in subglottic air pressure as a function of phonetic context. The phonetic contexts consisted of $/i:{p^h}i:{p^h}i:/,/{p^h}i:{p^h}i:/, and /{p^h}{p^h}/$. The aerodynamic and phonatory parameters are investigated in 20 female normal adults. All measurements are taken and analysed using Aerophone II voice function analyzer. The aerodynamic parameters are Peak Air Pressure(PAP) and Mean Air Pressure(MAP), and the phonatory parameters are Phonatory Flow Rate(PFR) Maximum SPL(MSPL), Phonatory SPL(PSPL), Phonatory Power (PP), Phonatory Efficiency(PE), and Phonatory $Resistance^*$ 10-5(PR). A one-way ANOVA revealed the following results. First, the aerodynamic parameters are not significantly different. Second, Peak Air Pressure(PAP) and Mean Air Pressure(MAP), as well as the phonatory parameters such as Phonatory Flow Rate(PFR) Maximum SPL(MSPL), Phonatory SPL(PSPL), and Phonatory Efficiency(PE) were significantly different. Therefore, it is advised that clinicians use only aerodynamic parameters but phonatory parameters when using Aerophone II.

• Journal of the Korean Mathematical Society
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• v.55 no.6
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• pp.1389-1421
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• 2018

In this paper, we introduce the notion of C-Gorenstein weak injective modules with respect to a semidualizing bimodule $_SC_R$, where R and S are arbitrary associative rings. We show that an iteration of the procedure used to define $G_C$-weak injective modules yields exactly the $G_C$-weak injective modules, and then give the Foxby equivalence in this setting analogous to that of C-Gorenstein injective modules over commutative Noetherian rings. Finally, some applications are given, including weak co-Auslander-Buchweitz context, model structure and dual pair induced by $G_C$-weak injective modules.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.5
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• pp.852-860
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• 2010

An environment in which the software is operated become more complex and changed dynamically. Such software requires the ability to adapt in accordance with operating environments, by monitoring the changes of user requirements and operating environments. Especially, the mobile device used in military operation requires more dynamical adaptation than the mobile device in normal environment. In this paper, we propose MOSAIC architecture based on Self-Adaptive Software suitable for military mobile device and verify the results. The proposed architecture consists of context manager, evaluation manager and adaptation manager. We simulate the MOSAIC architecture by modelling PRE(Position Reporting Equipment) used in the army and verify four types of operational mode and dynamical reconfiguration of user interface.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.701-720
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• 2023

Aerial objects are more challenging to segment than normal objects, which are usually smaller and have less textural detail. In the process of segmentation, target objects are easily omitted and misdetected, which is problematic. To alleviate these issues, we propose local aggregation feature pyramid networks (LAFPNs) and pyramid integrated context modules (PICMs) for aerial object segmentation. First, using an LAFPN, while strengthening the deep features, the extent to which low-level features interfere with high-level features is reduced, and numerous dense and small aerial targets are prevented from being mistakenly detected as a whole. Second, the PICM uses global information to guide local features, which enhances the network's comprehensive understanding of an entire image and reduces the missed detection of small aerial objects due to insufficient texture information. We evaluate our network with the MS COCO dataset using three categories: airplanes, birds, and kites. Compared with Mask R-CNN, our network achieves performance improvements of 1.7%, 4.9%, and 7.7% in terms of the AP metrics for the three categories. Without pretraining or any postprocessing, the segmentation performance of our network for aerial objects is superior to that of several recent methods based on classic algorithms.