• Asia pacific journal of information systems
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• 제31권1호
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• pp.43-75
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• 2021

Clearly, the smartphone is increasingly playing a greater role in everyday life, thus providing opportunities to evaluate how well the use of the smartphone meets the requirements of undergraduate students in independent learning outside of a classroom setting. This study used the task-technology fit (TTF) model to explore the effectiveness of smartphone usage to interact with learning materials in independent learning outside of classrooms, the need for smartphone support, and the fit of devices to tasks as well as performance. First, the study used interviews, observation, and survey data to identify what are the most important constructs of smartphones that stimulate students to interact with learning materials in independent learning outside of classrooms. Based on the findings from the exploratory study and Task Technology Fit theory, we postulated the Navigation design, Ergonomic design, Content support, and Capacity as the essential dimension of the smartphone construct. Then, we proposed a research model and empirically tested hypotheses with the structural model analysis. The results reveal a significant positive impact of task and technology on TTF for smartphone usage to interact with learning materials in independent learning outside of classrooms; it also confirmed the TTF and performance have a direct effect on actual use.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권3호
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• pp.477-493
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• 2011

The IEEE 802.16 mobile multi-hop relay (MMR) task group 'j' (TGj) has introduced the multi-hop relaying concept in the IEEE 802.16 Wireless MAN, wherein a relay station (RS) is employed to improve network coverage and capacity. Several RSs can be deployed between a base station and mobile stations, and configured to form a tree-like multi-hop topology. In such architecture, we consider the problem of a path selection through which the mobile station in and outside the coverage can communicate with the base station. In this paper, we propose a new path selection algorithm that ensures more efficient distribution of resources such as bandwidth among the relaying nodes for improving the overall performance of the network. Performance of our proposed scheme is compared with the path selection algorithms based on loss rate and the shortest path algorithm. Based on the simulation results using ns-2, we show our proposal significantly improves the performance on throughput, latency and bandwidth consumption.

• 한국인터넷방송통신학회논문지
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• 제9권3호
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• pp.101-108
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• 2009

무선 통신기기의 보급화로 인해 사용자는 시간과 장소에 구애 방지 않고 정보를 끊김없이 제공 받기를 원하고 있으며, 이러한 이동성을 지원하는 기술이 필요하다. 호스트의 이동성을 지원하기 위해 Internet Engineering Task Force(IETF) Mobile IP Working Group에서는 MIPv6 (Mobile IPv6) 프로트콜을 제안하였다. 하지만 기존의 MIPv6에서는 Handover시 모바일 노드가 일시적으로 데이터 패킷을 받지 하는 경우가 생긴다. 이러한 Hnadover 문제를 해결하기 위해 FMIPv6 (Fast Handover for Mobile IPv6), HMIPv6 (Hierarchical Mobile IPv6)등과 같은 다양한 방법들이 제안되고 있다. 본 논문에서는 MIPv6에 대해 체계적으로 분석하고 Handvoer 지연시간을 줄이기 위한 방법으로 Access Point의 Dual Buffer 사용 및 효율적인 Registration 방법을 제안하며, MIPv6와 제안한 방법에 대해 Handover 지연시간을 비교 분석한다. 비교 분석 결과로서 제안한 방법이 기존 방법들보다 Handover 지연시간 단축 됐음을 알 수 있다.

• 대한전자공학회논문지TC
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• 제47권12호
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• pp.45-51
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• 2010

모바일 클라우드 컴퓨팅의 핵심은 이동 노드가 끊임없는 서비스를 제공받는 것이다. Mobile IPv6(MIPv6)는 Internet Engineering Task Force (IETF)에 의해 표준화된 이동성 제공 프로토콜이다. Mobile IPv6 빠른 핸드오버 (FMIPv6)는 MIPv6의 확장으로, MIPv6의 단점들을 보완하기 위해 제안되었다. 최근 들어, 광대역 무선 제어 시스템 중 하나인 IEEE 802.16e 환경에서의 Mobile IPv6를 위한 빠른 핸드오버가 IETF에 의해 제안되었다. 이것은 교차계층 빠른 핸드오버를 제공하기 위해 설계되었다. 본 논문에서는 IEEE 802.16e 네트워크에서의 향상된 교차계층 Mobile IPv6 빠른 핸드오버를 제안한다. 제안하는 방식에서 새로운 접속 라우터는 2계층 트리거를 이용하여 이동 노드를 위한 새 주소를 생성한다. 이동 노드의 정보를 새로운 접속 라우터에게 알리기 위하여 새로운 베이스 스테이션에서 새로운 접속 라우터로 보내지는 2계층 메시지를 이용한다. 이동 노드의 새 주소를 획득하면 이전 접속 라우터는 이동 노드의 홈 에이전트에게 바인딩 갱신 메시지를 보낸다. 시그널링 비용과 핸드오버 지연에 대하여 제안하는 방안의 성능을 기존 방안들과 비교하여 성능평가를 수행한다. 결과를 통해, 제안하는 방안이 기존 방안들에 비해 IEEE 802.16e 네트워크에서의 빠른 핸드오버를 효과적으로 제공하는 것을 볼 수 있다.

• Journal of the Korean Data and Information Science Society
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• 제18권2호
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• pp.315-326
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• 2007

The rapid proliferation of wireless networks and mobile computing applications has changed the landscape of network security. Anomaly detection is a pattern recognition task whose goal is to report the occurrence of abnormal or unknown behavior in a given system being monitored. This paper presents a dynamic anomaly detection scheme that can effectively identify a group of especially harmful internal masqueraders in cellular mobile networks. Our scheme uses the trace data of wireless application layer by a user as feature value. Based on the feature values, the use pattern of a mobile's user can be captured by rough sets, and the abnormal behavior of the mobile can be also detected effectively by applying a roughness membership function with both the age of the user profile and weighted feature values. The performance of our scheme is evaluated by a simulation. Simulation results demonstrate that the anomalies are well detected by the proposed dynamic scheme that considers the age of user profiles.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권5호
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• pp.1998-2014
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• 2016

In recent years, cloud computing services based on smart phones and other mobile terminals have been a rapid development. Cloud computing has the advantages of mass storage capacity and high-speed computing power, and it can meet the needs of different types of users, and under the background, mobile cloud computing (MCC) is now booming. In this paper, we have put forward a new classification-based virtual machine placement (CBVMP) algorithm for MCC, and it aims at improving the efficiency of virtual machine (VM) allocation and the disequilibrium utilization of underlying physical resources in large cloud data center. By simulation experiments based on CloudSim cloud platform, the experimental results show that the new algorithm can improve the efficiency of the VM placement and the utilization rate of underlying physical resources.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2004년도 가을 학술발표논문집 Vol.31 No.2 (3)
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• pp.328-330
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• 2004

차세대 네트워크는 IP 기반의 무선 네트워크로 진화하고 있다. 이에따라 최근의 internet Engineering Task force (IETF)에서 효율적인 이동성 관리를 위한 Hierarchical Mobile IPv6 (HMIPV6)을 제안하였다. HMIPV6는 Mobile Anchor Point(MAP)영역안에 지역 등록을 통하여 상당한 시그널링을 줄일 수 있고 핸드 오프 지연시간을 줄이면서 MIPv6의 성능을 향상 가져왔다. 그러나 MAP 영역이 고정되어 있고 단일 MAP에 집중적인 트랙픽이 발생하는 문제점을 가지고 있다. 따라서 이동노드의 이동성 및 트래픽에 의해서 동적으로 MAP 영역을 설정함으로써 트랙픽이 분산되어 질수 있다. 또한 HMIPv6는 Idle 이동노드도 불필요한 위치 등록으로 인하여 시그널링 오버헤드를 방생한다. 따라서 IP 페이징 기법을 사용하여 불필요한 위치 등록에 따른 시그널링을 줄이기 위한 방법을 제시한다. 또한 explicit multicast (Xcast) 방법을 사용하여 효율적인 메시지 전달방법을 제시한다.

• Industrial Engineering and Management Systems
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• 제8권3호
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• pp.181-193
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• 2009

This paper presents a framework for controlling mobile multiple robots connected by communication networks. This framework provides novel methods to control coordinated systems using mobile agents. The combination of the mobile agent and mobile multiple robots opens a new horizon of efficient use of mobile robot resources. Instead of physical movement of multiple robots, mobile software agents can migrate from one robot to another so that they can minimize energy consumption in aggregation. The imaginary application is making "carts," such as found in large airports, intelligent. Travelers pick up carts at designated points but leave them arbitrary places. It is a considerable task to re-collect them. It is, therefore, desirable that intelligent carts (intelligent robots) draw themselves together automatically. Simple implementation may be making each cart has a designated assembly point, and when they are free, automatically return to those points. It is easy to implement, but some carts have to travel very long way back to their own assembly point, even though it is located close to some other assembly points. It consumes too much unnecessary energy so that the carts have to have expensive batteries. In order to ameliorate the situation, we employ mobile software agents to locate robots scattered in a field, e.g. an airport, and make them autonomously determine their moving behaviors by using a clustering algorithm based on the Ant Colony Optimization (ACO). ACO is the swarm intelligence-based methods, and a multi-agent system that exploit artificial stigmergy for the solution of combinatorial optimization problems. Preliminary experiments have provided a favorable result. In this paper, we focus on the implementation of the controlling mechanism of the multi-robots using the mobile agents.

• 대한전자공학회논문지TC
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• 제47권7호
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• pp.59-66
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• 2010

본 논문에서는 PMIPv6 도메인 내의 모바일 단말간의 최적화된 통신서비스 제공을 위해 요구되는 경로 최적화 통신을 위해 IETF에 제안된 경로 최적화 기법들의 핸드오버 성능을 비교 분석한다. 성능 비교를 위해 두개의 MAG와 하나의 LMA로 구성된 환경에서 경로 최적화 핸드오버 시에 발생되는 시그널링 비용, 핸드오버 지연 시간과 패킷 손실 등을 분석하였다. 분석결과 최적화된 경로 생성을 위해 관여하는 컴포넌트의 유무와 최적화 메시지의 수, 고려하는 성능적 목표에 따라 달라지는 것을 확인하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권4호
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• pp.281-286
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• 2010

We propose a space and time based sensor fusion method and a robust landmark detecting algorithm based on sensor fusion for mobile robot navigation. To fully utilize the information from the sensors, first, this paper proposes a new sensor-fusion technique where the data sets for the previous moments are properly transformed and fused into the current data sets to enable an accurate measurement. Exploration of an unknown environment is an important task for the new generation of mobile robots. The mobile robots may navigate by means of a number of monitoring systems such as the sonar-sensing system or the visual-sensing system. The newly proposed, STSF (Space and Time Sensor Fusion) scheme is applied to landmark recognition for mobile robot navigation in an unstructured environment as well as structured environment, and the experimental results demonstrate the performances of the landmark recognition.