• Journal of Korean Library and Information Science Society
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• v.49 no.3
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• pp.407-428
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• 2018

Metadata standard is very important element to describe a digital resource in the records lifecycle. Metadata standard is influenced by the purpose and content of tasks that are performed to a resource. But it does not reflect a task-centric viewpoint to cover the whole records-lifecycle because metadata is defined and designed from a resource-centric viewpoint. In other words, to cover the whole records-lifecycle using metadata, it is necessary to properly select and combine metadata property from a task-centric viewpoint. Therefore, we proposed a task-centric metadata application profile that can combine and select appropriate metadata properties according to requirements and tasks performed on resource.

• The Journal of Information Systems
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• v.21 no.4
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• pp.81-108
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• 2012

Growth in the device field is driven by various emerging devices, tablet PC are among the most recognizable. Tablet PC are mobile computing devices enabled with touch screens or pen inputs and provide the functions of various other devices. Firms are interested in utilization of tablet PC on task. Many of firms is considering accepting of tablet PC and is looking forward to performance of tablet PC. Thus, this study propose to discuss strategies for the usage of tablet PC from organizational needs perspective. The goal of this study is to identify factors influencing use of tablet PC and task performance. The results of this study showed that the proposed factors of organizational needs with a exception of Service Flexibility had a positive impact on perceived usefulness that then positively affected Usage of Tablet PC and Task Performance. In addition, perceived task-technology fit had a positive impact on perceived usefulness and Usage of Tablet PC. Finally, Innovative Culture of Organization as a moderating effect significantly influenced the relationship between perceived usefulness, perceived Task-Technology Fit and Usage of Tablet PC. This study is expected to be a reference for a subsequent study associated with Tablet PC at organizational viewpoints.

• Journal of Information Processing Systems
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• v.14 no.3
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• pp.621-630
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• 2018

Selection of a suitable task from the extensively available large set of tasks is an intricate job for the developers in crowdsourcing software development (CSD). Besides, it is also a tiring and a time-consuming job for the platform to evaluate thousands of tasks submitted by developers. Previous studies stated that managerial and technical aspects have prime importance in bringing success for software development projects, however, these two aspects can be more effective and conducive if combined with human aspects. The main purpose of this paper is to present a conceptual framework for task assignment model for future research on the basis of personality types, that will provide a basic structure for CSD workers to find suitable tasks and also a platform to assign the task directly. This will also match their personality and task. Because personality is an internal force which whittles the behavior of developers. Consequently, this research presented a Task Assignment Model (TAM) from a developers point of view, moreover, it will also provide an opportunity to the platform to assign a task to CSD workers according to their personality types directly.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1258-1275
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• 2023

Cloud computing is a new technology that has adapted to the traditional way of service providing. Service providers are responsible for managing the allocation of resources. Selecting suitable containers and bandwidth for job scheduling has been a challenging task for the service providers. There are several existing systems that have introduced many algorithms for resource allocation. To overcome these challenges, the proposed system introduces an Optimized Task Scheduling Algorithm with Deep Learning (OTS-DL). When a job is assigned to a Cloud Service Provider (CSP), the containers are allocated automatically. The article segregates the containers as' Long-Term Container (LTC)' and 'Short-Term Container (STC)' for resource allocation. The system leverages an 'Optimized Task Scheduling Algorithm' to maximize the resource utilisation that initially inquires for micro-task and macro-task dependencies. The bottleneck task is chosen and acted upon accordingly. Further, the system initializes a 'Deep Learning' (DL) for implementing all the progressive steps of job scheduling in the cloud. Further, to overcome container attacks and errors, the system formulates a Container Convergence (Fault Tolerance) theory with high-level security. The results demonstrate that the used optimization algorithm is more effective for implementing a complete resource allocation and solving the large-scale optimization problem of resource allocation and security issues.

• Journal of the Korean Society of Safety
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• v.16 no.4
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• pp.168-174
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• 2001

For human error analysis, the structure and situation of a task should be analyzed in advance. The paper introduces Structured Information Analysis (SIA) as a task analysis method for error analysis, and delineates the result of application on the emergency procedure of Korean Standard Nuclear Plants (KSNPs). From the task analysis about emergency procedure of KSNP, total 72 specific task goals were identified in the level of system function, and 86 generic tasks were classified from the viewpoint of physical sameness of the task description. Human errors are dependent on task types so that the result of task analysis would be used as a basis for the error analysis on the emergency tasks in nuclear power plants.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.177-179
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• 2014

Unlike using smart-phone for music, game, information searching, shopping, using smart-phone for tasks may be forced in the task environment. Therefore, attitude, usefulness, and easy of use of technology on information technology adoption mode can not fully explain using smart phone for tasks. To explain using smart phone for tasks, this paper is based on the theory of task and technology fit(TTF) that TTF influences the usage performance of technology.

• The Transactions of the Korea Information Processing Society
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• v.6 no.4
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• pp.890-900
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• 1999

In homogeneous multiprocessor systems, the task allocation algorithm which equally assigns tasks to processors if possible is generally used. But this algorithm is not suitable to accomplish to accomplish effective task allocation in heterogeneous multiprocessor systems. JSQ (Join the Shortest Queue) algorithm is often used in heterogeneous multiprocessor systems. Unfortunately, JSQ algorithm is not efficient when the differences of capabilities of processors are far large. To solve this problem, we suggest a heuristic task allocation algorithm that makes use of dynamic information such as task arrival time, task service time, and number of finished tasks. The results of simulation show that the proposed heuristic allocation algorithm improves the system performance.

• Proceedings of the ESK Conference
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• 1995.10a
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• pp.3-12
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• 1995

In this research, we investigated the effect of three visual feedback conditions (direct viewing, one-monitor viewing, and tow-monitors viewing) on the task performance of human operator in teloperation task. The three different level of task difficulties under each concitions were performed by thirty-six subjects. The result of the experiments was analysed by the task difficulties, and the measurements of performance are the task completion time and the frequency of task errors. In a teleoperator, the participation of a human operator is always required, and the man-machine interface and the operator's abilities is an important issue. Recently, the different types of sensory feedback conditions(force, vision, sound, tactile, etc) for teleoperation is a very active research area in ergonomics. Among them, visual feedback conditon is an important sense that can provide the information of task environment. Therefore, the sufficient understandings and investigation for human ability under various visual feedback conditions is required to establish the efficient man-machine interface of teleoperation. The result showed that the visual feecback conditions and the level of task difficulties have a significant effect on the task performance. For three level of task difficulties, the task completion time was the shortest under the condition of direct viewing. The number of task errors under the conditions of direct viewing and two-monitors viewing were reduced by more than half compare to that of one-monitor viewing.

• The KIPS Transactions:PartA
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• v.8A no.1
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• pp.16-26
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• 2001

This paper proposes an extended scheduler model that is an extension of the existing model proposed already in [4, 5], which consists of upper layer task scheduler and lower layer scheduling framework. However, in order to support aperiodic task scheduling, the task scheduler has been divided into two parts, such as periodic task control component and aperiodic task control component. Thus, the proposed model can support various bandwidth-preserving servers that can service aperiodic tasks. The model distinctly separates a classic monolithic kernel scheduler into several kernel components according to their functionality. This enables system developers to implement a new scheduling algorithm or aperiodic task server independent of complex low kernel mechanism, and reconfigure the system at need. In Real-Time Linux [6], we implemented the proposed scheduling framework representative scheduling algorithms, and server bandwidth-preserving servers on purpose to test. Throughout these implementations, we confirmed that a new algorithm or server could be developed independently without updates of complex low kernel modules. In order to verify efficiency of the proposed model, we measured the performance of several aperiodic task servers. The results showed this the performance of model, which even consisted of two hierarchical components and several modules, didnt have such high run-time overhead, and could efficiently support reconfiguration and scheduler development.

• The Journal of Information Systems
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• v.28 no.4
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• pp.223-250
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• 2019

Purpose As the 4th Industrial Revolution proceeded, attempts to direct and utilize information technology such as robots and drones in plays have been active. Information technology, such as AI or media art, which is applied in the production of theater productions, shapes the possibility of expressing the difficulty of actors, the effectiveness of dramatic effects, and the illusion. Despite the inconsistent effects of information technology on theatrical studies, little has been done despite the fact that the research on what factors affect the audience's satisfaction through the play. Hence, The purpose of this study is to demonstrate the characteristics of information technology and theater, especially audience's revisit intention. Design/methodology/approach The research model combining the theory of task-technology fit and the experience-economic model is presented. Findings The results of the empirical analysis suggest that the fit of information technology and theatrical task enriches the audience's experience and has a beneficial effect on the dissemination and export of contents management of art management in terms of revisit as a consumer and production of theatrical performing arts. This leads to the conclusion that task-technical fit and experiential economy could be applied to the field of performing arts in theater. It may also give useful implications to related producers such as producers, directors, and actors.