• Journal of English Language & Literature
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• v.54 no.1
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• pp.107-127
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• 2008

Critics are inclined to interpret J.M. Coetzee's novels in South African contexts, which Coetzee's own background seems to support. One has to bear in mind, however, that Coetzee tends to "see the South African situation as only one manifestation of a wider historical situation to do with colonialism, late colonialism, neo-colonialism." In other words, putting too much emphasis on South African contexts may diminish or undermine significance of Coetzee's multi-layered novels. In this context, the purpose of this paper is to highlight what Coetzee has to say about American colonialism/imperialism and to emphasize importance of "postcolonial rhetoric of simultaneity" which is repeatedly shown in his fictional works. It gives a meticulous attention to and analyzes "Vietnam Project," the first novella of Dusklands, Coetzee's very first novel, which depicts and characterizes "what Chomsky in the context of Vietnam [War] called 'the backroom boys.'" "The Narrative of Jacobus Coetzee," "When a Woman Grows Older," and Diary of a Bad Year are occasionally brought into discussion as well. This kind of study seems timely and pertinent especially when we take into account the rampant American imperialism which has devastated and almost traumatized the world.

• Journal of Korean society of Dental Hygiene
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• v.23 no.4
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• pp.251-260
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• 2023

Objectives: This study aimed to provide basic data for the development of clinical practice-related education program by analyzing the effects of grit, job satisfaction, and retention intention on transition shock of new dental hygienists. Methods: From April 19 to July 4, 2022, the data was collected from 200 new dental hygienists working for dental hospitals/clinics. Using the SPSS Statistics ver. 22.0, this study was conducted the t-test, one-way ANOVA, Pearson's correlation analysis, and multiple regression analysis. Results: There were positive correlations between grit, job satisfaction, and retention intention, a negative correlation between grit and transition shock, a positive correlation between job satisfaction and retention intention, a negative correlation between job satisfaction and transition shock. and a negative correlation between retention intention and transition shock. As the factors affecting transition shock, lower pay and main performance of medical cooperation work increased transition shock. When job satisfaction and retention intention were higher, transition shock decreased. Conclusions: In order to reduce transition shock of new dental hygienists, it would be necessary to operate clinical practice-related training program, and also to establish a training environment similar to the clinical site/context/situation similar to clinical context/situation.

• Journal of Electrical Engineering and Technology
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• v.11 no.6
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• pp.1839-1845
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• 2016

Detecting remote targets is important to active protection system (APS) or infrared search and track (IRST) applications. In normal situation, the well-known constant false alarm rate (CFAR) detector works properly. However, decoys in APS or closely spaced targets in IRST degrade the detection capability by increasing background noise level in the CFAR detector. This paper presents a context aware CFAR detector by the intensity sorting and selection of background region to reduce the effect of neighboring targets that lead to incorrect estimation of background statistics. The existence of neighboring targets can be recognized by intensity sorting where neighboring targets usually show highest ranks. The proposed background statistics (mean, standard deviation) estimation method from median local pixels can be aware of the background context and reduce the effects of the neighboring targets, which increase the signal-to-clutter ratio. The experimental results on the synthetic APS sequence, real adjacent target sequence, and remote pedestrian sequence validated that the proposed method produced an enhanced detection rate with the same false alarm rate compared with the hysteresis-CFAR (H-CFAR) detection.

• Knowledge Management Research
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• v.11 no.2
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• pp.75-93
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• 2010

Even though there have been many efforts on driver's route recommendation, driver still should get involved to choose the driving path in a manual manner. Uncertain traffic information provided to the driver delays his arrival time and hence may cause diminished economic values. One of the solutions of reducing the uncertainty is to provide various kinds of traffic information, rather than send real-time information. Therefore, as the wireless communication technology improves and at the same time volume of utilizable traffic contents increases in geometrical progression, selecting traffic information based on driver's context in a timely and individual manner will be needed. Hence, the purpose of this paper is to propose a methodology that efficiently sends the rich traffic contents to the personal in-vehicle navigation. To do so, driver preference is modeled and then the recommendation algorithm of traffic information contents was developed using the preference model. Secondly, ontology based traffic situation analyzation method is suggested to automatically inference the noticeable information from the traffic context on driver's route. To show the feasibility of the idea proposed in this paper, an open API service is implemented in consideration of ease of use.

• The Journal of the Acoustical Society of Korea
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• v.33 no.4
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• pp.248-254
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• 2014

Among acoustic signal analysis tasks, acoustic context awareness is one of the most formidable tasks in terms of complexity since it requires sophisticated understanding of individual acoustic events. In conventional context awareness methods, individual acoustic event detection or recognition is employed to generate a relevant decision on the impending context. However this approach may produce poorly performing decision results in practical situations due to the possibility of events occurring simultaneously or the acoustically similar events that are difficult to distinguish with each other. Particularly, the babble noise acoustic event occurring at a bus or subway environment may create confusion to context awareness task since babbling is similar in any environment. Therefore in this paper, a frequency-cepstral feature vector is proposed to mitigate the confusion problem during the situation awareness task of binary decisions: bus or metro. By employing the Support Vector Machine (SVM) as the classifier, the proposed feature vector scheme is shown to produce better performance than the conventional scheme.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.77-82
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• 2006

Situation awareness는 유비쿼터스 환경에서 사용자의 상황에 맞는 적절한 서비스를 제공하기 위한 방법으로, 다양한 context와 action이력을 기술하여 협동 시스템을 표현할 수 있는 Situation Aware-Interface Definition Language(SA-IDL) 접근방법이 유용하다. 하지만, SA-IDL로 다수의 상황인지 서비스를 만들게 될 때 서비스 단독으로는 문제가 없을지라도 여러 개의 서비스들 사이에서는 충돌문제가 발생할 수 있다. 이런 충돌을 검출해내고 해결하기 위해서, 을 수학적으로 모델링된 SA-IDL을 통해, 충돌을 수학적으로 정의하여 기술하고, graph theory적인 접근 방법과 자기 상관계수를 통한 마크호프 예측 기법으로 해결하고자 한다.

• Journal of Elementary Mathematics Education in Korea
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• v.7 no.1
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• pp.23-44
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• 2003

The purpose of the study is to examine the phenomenon presented the process of problem solving activities of students with the mathematical context information accompanied problem based on Freudenthal's mathematizing theory and Realistic Mathematics Educations about cognitive and emotional aspects. In conclusion, taking a look at the results of study, open-ended contextual problem was had to offer in order to pull out various solutions. Teachers should help students develop their own methods, discuss their methods with others' and reinvent formal mathematics and its constructive process under the guidance of the teachers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.7
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• pp.1364-1370
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• 2017

This paper proposes a method that automatically sets profile schedule context-based mobile phone by collecting the user's external situation based on the GPS sensor and accelerometer built into the smartphone and interacting with the data in the user's schedule to minimize the user's handset handling. However, real-time data collection in mobile phones causes energy shortage in the device due to battery consumption. In other words, a service control method is explained in a way that can efficiently handle resource consumption because accessing a measurement device such as GPS and other sensors may increase power consumption of the portable device. Therefore, effective data sharing for context awareness to reduce weekly schedules and smartphone mode has improved energy efficiency in sensing for data collection. The user can use the context more effectively by providing environmental adaptability for various situations such as the end user's local context and smartphone force control.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.3
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• pp.127-135
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• 2015

Context-aware mobile cloud computing is a new promising paradigm that allows to improve user experience by analyzing contextual information such as user location, time of the day, neighboring devices and current activity. In this paper we provide performance study of context-aware mobile cloud computing system with Volare middleware. Volare monitors the resources and context of the device. and dynamically adapts cloud service requests accordingly, at discovery time or at runtime. This approach allows for more resource-efficient and reliable cloud service discovery, as well as significant cost savings at runtime. We also have studied the performance of context-aware mobile cloud computing for different quality of service (QoS) adaptation policies. Our simulations results show that when battery level is low and CPU usage is high and user cannot maintain the initial QoS, service cost is decreased according to current adaptation policy. In conclusion, the current adaptation policy suggested in this paper may improve user experience by providing a dynamically adapted service cost according to a situation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.93-95
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• 2014

In this paper, we proposed efficient forwarding path computing method using Context-Awareness Mobility Prediction Model. Context-Awareness Mobility Prediction Model is storing and classifying node's previous velocity and direction according to time in the hierarchical cluster structure. To overcome environment which node-to-node connection is broken off easily, the proposed algorithm calculate the connectivity formed matrix structure by comparing predicted velocity and direction, and use masking operation for selecting relay moving to destination. The proposed algorithm identified to show short delay by utilizing forwarding path which is continue node-to-node connection in the unstable situation.