• KIPS Transactions on Software and Data Engineering
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• v.8 no.4
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• pp.145-152
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• 2019

Unlike a single value from a sensor device, a massive data set has characteristics for various processing aspects; input data may be formed in a different format, the size of input data varies, and the processing time of analyzing input data is not predictable. Therefore, context aware systems may contain complex modules, and these modules can be implemented and used in different ways. In order to solve these problems, we propose a method to handle context information from the result of analyzing massive data. The proposed method considers analysis work as a different type of abstracting context and suggests the way of representing context information. In experiment, we demonstrate how the context processing engine works properly in a couple of steps with healthcare services.

• English Language & Literature Teaching
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• v.12 no.1
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• pp.55-75
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• 2006

This paper attempts to discuss the complex nature of social contexts regarding English language education in Korean middle school and to demonstrate the affective factors that should be considered to find appropriate approaches within the context. To do this, a questionnaire survey was conducted among 85 middle school students regarding learners' motivation, and attitudes toward EFL learning. Additionally, teachers in secondary school were asked about the general circumstances of English language education. Findings indicate that in spite of the participants' high instrumental motivation, they rather show a negative attitude toward English learning. This paper intends to raise practitioners' attention to the fact that the effect of learners' affective variables on EFL learning seems distinctive depending on the host country's EFL contexts.

• Journal of Information Science Theory and Practice
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• v.5 no.3
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• pp.6-14
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• 2017

Workplace knowledge sharing is a complex process and there are a large number of studies in the area. In this article three theoretical approaches in library and information science are used to discuss knowledge sharing in the workplace. The approaches are information behavior, social capital, and information culture, and they bring important insights that need to be considered from a holistic management point of view when it comes to knowledge sharing. The individual's relation to different levels of context is important, meaning both in relation to work roles, work tasks, situations, organizational structures, and culture. The frameworks also shed light on where and how knowledge sharing activities are present in the organization. From a knowledge management point of view, it is important to acknowledge that when knowledge is valued, there is also an awareness of the knowledge sharing activities. Also, in addition to more traditional views of context, the frameworks bring forward different views on context, such as time and space as contextual factors.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.281-285
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• 2000

This paper proposes context-based coding methods for variable length coding of inter-frame DCT coefficients. The proposed methods classify run-level symbols depending on the preceding coefficients. No extra overhead needs to be transmitted, since the information of the previously transmitted coefficients is used for classification. Two entropy coding methods, arithmetic coding and Huffman coding, are used for the proposed context-based coding. For Huffman coding, there is no complexity increase from the current standards by using the existing inter/intra VLC tables. Experimental results show that the proposed methods give ～ 19% bits gain and ～ 0.8 dB PSNR improvement for adaptive inter/intra VLC table selection, and ～ 37% bits gain and ～ 2.7dB PSNR improvement for arithmetic coding over the current standards, MPEG-4 and H.263. Also, the proposed methods obtain larger gain for small quantizaton parameters and the sequences with fast and complex motion. Therefore, for high quality video coding, the proposed methods have more advantage.

• Journal of Communications and Networks
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• v.13 no.2
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• pp.95-101
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• 2011

Extended life expectancy and a decrease in fertility rates are dramatically increasing the number of seniors who will eventually need professional care assistance. Although there is no clear technical solution to this problem, recent advances in ubiquitous computing offer opportunities to assist elders in their residence, thus reducing the need for professional assistance in special facilities. There have been several studies, but current solutions tend to address specific issues and cannot be easily extended, updated, and customized to meet the complex and evolving requirements of eldercare assistance. This study aims to bridge this gap, and this paper presents a context-management framework, called awareness for pervasive environments (APE), that provides easily customizable support for the development of ubiquitous eldercare services and applications.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.719-725
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• 2021

The main purpose of the study is to determine the main aspects of information support for anti-crisis management in the context of ensuring national security. In modern conditions, under the influence of COVID-19, it becomes important to develop a modern paradigm for the transformation of anti-crisis management, based on the determination of the laws of state development on the basis of the imperative of national interests and territorial integrity. These are, firstly, the patterns of development of the state system of public administration, secondly, the patterns of development of a complex of state interests, and thirdly, patterns of development of the modern model of the country's territorial integrity. As a result of the study, the key aspects of the anti-crisis management system were identified in the context of ensuring the security of national interests.

• Journal of the Korean Society of Systems Engineering
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• v.19 no.1
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• pp.29-38
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• 2023

Independent Safety Assessment (ISA) is a third-party assessment that is to confirm that the system satisfies the safety requirements in the defined operational context. The process of this assessment often brings about many complex arguments that should be supported by evidence and justification. The communication between arguments and evidence is of the most importance in the context of safety case. This study illustrates how NOR-STA can be used for ISA process, showing the effective structure of safety compliance. The study outlines the steps to breaks down the top goal into many elements such as arguments, sub-goals, justification, context and assumptions. It concludes that the evidence-based safety conformance process utilizing NOR-STA provides a more effective and systematic representation of the independent safety assessment process in conformance cases.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.6-9
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• 2015

Traditional project management theory is based on a three-dimensional life cycle approach where the project managerseeks to optimize the dimensions of cost-schedule-technical (quality or design). This paper reports the findings of a case study analysis of two complex mega-projects in Michigan which confirm the findings of previous research and illustrates the use of a framework for five-dimensional project management (5DPM) that is for conceptualizing a complex project's scope of work. The framework elevates the recognition that the project's social/political context and the financial arrangements create complexity adding two new dimensions. This paper also demonstrates a methodology to graphically display a project's complexity to better understand and prioritize the available resources. The result is a "complexity footprint" that may help a complex project manager identify the boundary between controllable and uncontrollable projects impacts. The paper finds that applying 5DPM to the two case study projects has given the project delivery team a tool which is actually adding value to the complex project management process.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.901-904
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• 2014

As sensing techniques have advanced, context-aware technologies have been developed under the various domain for each different purpose. The number of services were created and are being used actually, but the services for specific spatial domain are not adequate yet. To solve this, there have been many efforts, and some of them were actually successful. Among them, the methods which used ontology-based inference were relatively reliable and appropriate for context-aware system, but not able to support contexts for individual without complex rules. In this paper, current scope of context inference is extended from user-oriented context modeling to entity-oriented. Furthermore, we used user profile and home profile to provide more specific context information of not only each individual but entity.

• Journal of information and communication convergence engineering
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• v.9 no.4
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• pp.452-456
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• 2011

Context-awareness system can provide an optimized services to users. Analyzing physical and complex circumstance elements which give direct or indirect influence to users can tell what users want. However, there are various situation informations around users and it requires high level technology to extract the service what users really want among those informations. The circumstance of the user can be changed from moment to moment, even the service what users want also can be changed in every minutes. Recently the researches to provide the service which a user demands has been progressed actively. Web based filtering method which reaches commercialization is a one of good examples. This method extracts necessary data according to users' demands from the documents on the Web or multimedia informations. However, there is a limit to use it to provide Context-awareness service because it extracts static data, not dynamic data. There is also other researches with a rule based filtering method in progress to filter situation information but this method doesn't have mechanism for dynamic data as well. We would like to solve these problems by providing a dynamic situation information filtering mechanism applying an weighted value about each property of objects and also applying Web based dynamic categories in this paper when unnecessary data should be filtered.