• Asia pacific journal of information systems
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• 제15권2호
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• pp.195-218
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• 2005

The emergence of ubiquitous computing environment will change the service architecture of business information systems such as Decision Support System(DSS), which will be a new application. Recent mobile DSSs allow the decision makers to be benefited from web and mobile technology. However, they seldom refer to context data, which are useful for proactive decision support. Meanwhile, ubiquitous applications so far provide restricted personalization service using context and preference of the user, that is, they do not fully make use of decision making capabilities. Hence, this paper aims to describe how the decision making capability and context-aware computing are jointly used to establish ubiquitous applications. To do so, an amended DSS paradigm: CKDDM(Context-Knowledge-Dialogue-Data-Model) is proposed in this paper. What will be considered for the future decision support systems when we regard ubiquitous computing technology as an inevitable impact that enforces the change of the way of making decisions are described. Under the CKDDM paradigm, a framework of ubiquitous decision support systems(ubiDSS) is addressed with the description of the subsystems within. To show the feasibility of ubiDSS, a prototype system, CAMA-myOpt(Context-Aware Multi Agent System-My Optimization) has been implemented as an illustrative example system.

• The Journal of Asian Finance, Economics and Business
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• 제9권4호
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• pp.109-120
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• 2022

This study has incorporated the mechanics-dynamics-emotions (MDE) and two behavioral learning paths to investigate the customers' co-creation behavior in Taiwan. The intuitive path begins with a gamification design that reflects the customers' proactive and innovative behavior; the cognitive path begins with persuasion knowledge remarks based on rational and reactive reasoning. These two paths conclude what forms user co-creation. The study collects data of 505 active social media users in Taiwan and employs structural equation modeling. The empirical findings demonstrate persuasive knowledge and gamification design are significantly associated with self-reference, and in turn, positively associated with co-creation. It indicates that cognitive behavior plays the main role in forming co-creation. Participants are more drawn to co-creation behaviors by the marketing contents that prompt reactive behaviors than proactive ones. Therefore, marketing managers can use appropriate stimuli to enhance co-creation behavior. Companies can design activities related to users, and more accessible for reactive, instead of proactive behavior, i.e., asking for their initiatives. It also suggests that companies' marketing campaigns should involve key opinion leaders matching the product image and the target audience's preferences. The novelty of this study is to introduce a novel augmented MDE framework to extend the "dynamics" into the incubation and implementation stage.

• 한국컴퓨터정보학회논문지
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• 제20권12호
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• pp.175-180
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• 2015

It is important to maintain information system (IS) following the business and institutional change. Even if successfully developed information systems, we cannot gain the benefit from the systems without the proactive maintenance activities. However, the importance of IS maintenance has not been considered as much as the system development, and we don't have any specific performance management structure. The objective of this study is to identify the relationship between IS maintenance activities and utilization. For empirical test of the hypothesis model, the sample data is collected from public information system sites. Results from multiple regression analysis reveal that proactive maintenance activities including IS maintenance cost increase, improving functionality, and enhancing ease of use have a causal effect on the IS utilization.

• Safety and Health at Work
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• 제3권3호
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• pp.155-165
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• 2012

Reflecting the current international trends toward proactive risk assessment and control at work with practical procedures, participatory action-oriented approaches are gaining importance in various sectors. The roles of these approaches in promoting the safety and health at work are discussed based on their recent experiences in preventing work-related risks and improving the quality of work life, particularly in small-scale workplaces. The emphasis placed on the primary prevention at the initiative of workers and managers is commonly notable. Participatory steps, built on local good practices, can lead to many workplace improvements when the focus is on locally feasible low-cost options in multiple aspects. The design and use of locally adjusted action toolkits play a key role in facilitating these improvements in each local situation. The effectiveness of participatory approaches relying on these toolkits is demonstrated by their spread to many sectors and by various intervention studies. In the local context, networks of trainers are essential in sustaining the improvement activities. With the adequate support of networks of trainers trained in the use of these toolkits, participatory approaches will continue to be the key factor for proactive risk management in various work settings.

• 정보처리학회논문지C
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• 제14C권5호
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• pp.417-424
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• 2007

무선 LAN(WLAN) 기반 mesh 망은 유선 엑세스 망의 단점을 보완하기 위한 대안으로 많은 주목을 받고 있으나 성공적인 상업화를 위해서는 성능, 보안, 관리 등 기술적인 이슈들을 해결해야 한다. 특히 단말과 유선망 사이의 데이터 교환을 위한 효율적인 경로 선정 문제는 WLAN mesh 망의 신뢰성과 안전성에 많은 영향을 미치므로 효과적인 라우팅 기법의 개발은 선결해야 될 중요한 문제이다. WLAN mesh 망은 포설되는 환경과 단말의 이동성 등에 의해 다양한 특징을 가지므로 reactive 라우팅 기법 혹은 proactive 라우팅 기법 하나만을 이용하는 것은 모든 mesh 망 환경에 적합하지 않다. 따라서 망 환경 변화에 따른 동적인 라우팅 기법 개발이 필요하며 이론 위해서는 망과 단말의 특성이 각 라우팅 기법의 성능에 미치는 영향이 종합적으로 파악되어야 한다. 그러나 현재까지 제안된 라우팅 기법들의 성능 평가에 관한 연구는 제한된 환경에서 모의 실험을 통한 정량적 평가에 머물고 있다. 이에 따라 본 논문에서는 망의 크기, 송신 단말의 밀도, 단말의 이동성, 망 형상 변화 주기론 모두 고려하여 reactive 기법인 AODV와 proactive 기법인 DSDV의 수학적 성능 분석 모델을 제시한다. 제안된 분석 모델은 변화하는 mesh 망 환경에 적응성 있는 라우팅 기법 개발에 이용될 것으로 기대된다.

• 한국산업보건학회지
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• 제29권1호
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• pp.27-33
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• 2019

Objective: This study analyzed the status of the application of trade secrets in MSDSs according to size and type of industry. The contents of the MSDS non-public approval policy are summarized. We suggest proactive improvement requirements related to the operation of the MSDS non-public approval policy. Methods: To review this subject, we selected 153 manufacturers and six importers in such fields as organic chemical production. The trade secrets application status and ratio (%) of MSDSs by industry size and industry classification were investigated. Improvements toward a proactive system related to the operation of the MSDS non-public approval policy under the Occupational Safety and Health Act(OSHA) were summarized. Results and Conclusions: According to the results, the trade secret ratio in MSDSs by industry size was 33% in workplaces with less than 50 employees, 23.1% in workplaces with more than 50 but less than 100 workers, 73% in workplaces with more than 100 workers, and 83.4% in workplaces with 300 or more workers. For the trade secret writing rate for MSDSs by industry, the highest was MOCCP (Manufacture of ink, paint, coating and similar products) at 80.9%. MOC (Manufacture of other chemicals) was the lowest at 16.2%. We propose four proactive efforts to minimize the administrative burden of implementation of the MSDS non-public approval policy. The results of this study can be used as basic data for policy improvements to make more effective use of MSDS.

• KNOM Review
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• 제24권1호
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• pp.1-12
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• 2021

VM (Virtual Machine) live migration은 VM에서 동작하는 서비스의 downtime을 최소화하면서 해당 VM을 다른 서버 노드로 이전시키는 서버 가상화 기술이다. 클라우드 데이터센터에서는 로드밸런싱, 특정 위치 서버로의 consolidation 통한 전력 소비 감소, 서버 유지보수(maintenance) 작업 중에도 사용자에게 무중단 서비스를 제공하기 위한 목적 등으로 VM live migration 기술이 활발히 사용되고 있다. 또한 고장 및 장애 상황이 예측되거나 그 징후가 탐지되는 경우, 예방 및 완화 수단으로 활용될 수 있다. 본 논문에서 우리는 두 가지 선제적(proactive) VNF live migration 방법을 제안하며, 첫 번째 방법은 서버 로드밸런싱에 VNF live migration 기법을 사용하며 두 번째 방법은 고장 예측에 기반하여 고장 회피 목적으로 VNF live migration을 사용한다. 선제적 migration을 위한 예측에 머신러닝(기계학습)을 활용하며 실험을 통해 그 실효성을 검증한다. 특히 두 번째 방법에 대해 vEPC (Virtual Evolved Packet Core)의 고장 상황을 case study한 결과를 제시한다.

• 전자공학회논문지 IE
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• 제43권1호
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• pp.67-72
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• 2006

무선 기술의 빠른 발달과 이동통신 사용자의 급증으로 모바일 커머스에서 각 소비자들에게 컨텍스트에 맞게 효과적으로 정보를 권유하는 서비스의 필요성이 점차 부각되고 있다. 본 논문에서는 컨텍스트 인식환경에서 모바일 커머스 서비스를 위한 차별화된 프로액티브 권유 기법을 제안한다. 제안한 기법에서는 컨텍스트에 따라 한번에 모든 정보를 권유하지 않고 레벨별로 차별화하여 프로액티브하게 권유하고, 소비자의 패턴과 프리패칭 기법을 사용함으로써 효율적인 권유 서비스가 가능하다. 이를 위해 제안된 기법을 설명하고 이를 모바일 커머스 어플리케이션 프로토타입에 적용해본다. 또한, 실험을 통해 기존 기법보다 제안된 기법이 우수함을 보인다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권2호
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• pp.78-97
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• 2010

Route discovery in wireless mobile networks requires a considerable amount of resources due to the mobility of the hosts. Therefore, it would be wise to utilize the effort already invested in existing paths. This paper proposes an efficient way to reuse, whenever possible, existing paths when a new path is being established. In our proposed algorithm, called Route Reutilization Routing (RRR), the reusability is accomplished by the notion of the dynamic proactive zones (DPZ), through which nearby existing path information is disseminated. By utilizing the information stored in DPZs, RRR can achieve considerable savings over other on-demand routing algorithms that use flooding. The unique feature of the proposed algorithm is that DPZs are created and destroyed dynamically around the existing paths, whereas proactive zones are formed around the nodes throughout the network in other route finding algorithms. Even though using DPZs may not result in the shortest path between source and destination, simulation results show the considerable reduction in traffic needed to find a path and therefore increases the available bandwidth for data transmission.

• 반도체디스플레이기술학회지
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• 제20권2호
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• pp.121-125
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• 2021

Cloud service has the characteristic that it must be always available and that it must be able to respond immediately to user requests. This study suggests a method for constructing a proactive and autonomous quality and performance management system to meet these characteristics of cloud services. To this end, we identify quantitative measurement factors for cloud service quality and performance management, define a structure for applying a time series framework to cloud service application quality and performance management for proactive management, and then use big data and artificial intelligence for autonomous management. The flow of data processing and the configuration and flow of big data and artificial intelligence platforms were defined to combine intelligent technologies. In addition, the effectiveness was confirmed by applying it to the cloud service quality and performance management system through a case study. Using the methodology presented in this study, it is possible to improve the service management system that has been managed artificially and retrospectively through various convergence. However, since it requires the collection, processing, and processing of various types of data, it also has limitations in that data standardization must be prioritized in each technology and industry.