• Information Systems Review
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• v.24 no.4
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• pp.119-142
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• 2022

Organizations are attempting a digital transformation that converts physical business processing into virtual business processing. Through this digital transformation, organizations are overcoming time and space constraints and creating competitiveness. The digital transformation of this work environment has been accelerated as many organizations have implemented remote work due to the recent COVID-19 pandemic. This study focused on business process virtualizability, which is the result of the rapid digital transformation of the work environment. Business process virtualizability is the resulting quality, such as the suitability or excellence of business processing in a virtual environment. This research model is the effect of process, IT and organizational characteristics on business process virtualizability. As a result of the verification of people who have experienced remote work in a virtual environment, first, it was confirmed that, in terms of process characteristics, sensory requirements affect business process virtualizability, but relationship requirements, synchronism requirements, and identification and control requirements do not. Second, in terms of IT characteristics, it was confirmed that representation and reach affect business process virtualizability. Third, it was confirmed that, in terms of organizational characteristics, job autonomy affects business process virtualizability, but evaluation unfairness does not. This study found that representation and reach of IT had the most significant influence on business process virtualizability, job autonomy was next, and sensory requirements had the lowest influence. This presents practical implications for organizations to increase the success potential of business process virtualizability.

• Science of Emotion and Sensibility
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• v.20 no.3
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• pp.61-70
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• 2017

Physiological responses have been measured to recognize emotion. Although physiological responses have been interrelated between organs, their connectivities have been less considered for emotion recognizing. The connectivities have been assumed to enhance emotion recognition. Specially, autonomic nervous system is physiologically modulated by the interrelated functioning. Therefore, this study has been tried to analyze connectivities between heart and respiration and to find the significantly connected variables for emotion recognition. The eighteen subjects(10 male, age $24.72{\pm}2.47$) participated in the experiment. The participants were asked to listen to predetermined sound stimuli (arousal, relaxation, negative, positive) for evoking emotion. The bio-signals of heart and respiration were measured according to sound stimuli. HRV (heart rate variability) and BRV (breathing rate variability) spectrum were obtained from spectrum analysis of ECG (electrocardiogram) and RSP (respiration). The synchronization of HRV and BRV spectrum was analyzed according to each emotion. Statistical significance of relationship between them was tested by one-way ANOVA. There were significant relation of synchronization between HRV and BRV spectrum (synchronization of HF: F(3, 68) = 3.605, p = 0.018, ${\eta}^2_p=0.1372$, synchronization of LF: F(3, 68) = 5.075, p = 0.003, ${\eta}^2_p=0.1823$). HF difference of synchronization between ECG and RSP has been able to classify arousal from relaxation (p = 0.008, d = 1.4274) and LF's has negative from positive (p = 0.002, d = 1.7377). Therefore, it was confirmed that the heart and respiration to recognize the dimensional emotion by connectivity.

• The Journal of Engineering Research
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• v.6 no.2
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• pp.11-22
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• 2004

A distributed constraint satisfaction problem (distributed CSP) is a constraint satisfaction problem(CSP) in which variables and constraints are distributed among multiple automated agents. ACSP is a problem to find a consistent assignment of values to variables. Even though the definition of a CSP is very simple, a surprisingly wide variety of AI problems can be formalized as CSPs. Similarly, various application problems in DAI (Distributed AI) that are concerned with finding a consistent combination of agent actions can be formalized as distributed CAPs. In recent years, many new backtracking algorithms for solving distributed CSPs have been proposed. But most of all, they have common drawbacks that the algorithm assumes the priority of agents is static. In this thesis, we establish a basic algorithm for solving distributed CSPs called dynamic priority search algorithm that is more efficient than common backtracking algorithms in which the priority order is static. In this algorithm, agents act asynchronously and concurrently based on their local knowledge without any global control, and have a flexible organization, in which the hierarchical order is changed dynamically, while the completeness of the algorithm is guaranteed. And we showed that the dynamic priority search algorithm can solve various problems, such as the distributed 200-queens problem, the distributed graph-coloring problem that common backtracking algorithm fails to solve within a reasonable amount of time. The experimental results on example problems show that this algorithm is by far more efficient than the backtracking algorithm, in which the priority order is static. The priority order represents a hierarchy of agent authority, i.e., the priority of decision-making. Therefore, these results imply that a flexible agent organization, in which the hierarchical order is changed dynamically, actually performs better than an organization in which the hierarchical order is static and rigid. Furthermore, we describe that the agent can be available to hold multiple variables in the searching scheme.

• The Transactions of the Korea Information Processing Society
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• v.13 no.3
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• pp.111-121
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• 2024

Recently, thanks to the development of artificial intelligence technologies such as image recognition, research on unmanned aerial vehicles is being actively conducted. In particular, related research is increasing in the field of military drones, which costs a lot to foster professional pilot personnel, and one of them is the study of an intelligent framework for autonomous mission performance of reconnaissance drones. In this study, we tried to design an intelligent framework for unmanned aerial vehicles using the methodology of designing an intelligent framework for service robots. For the autonomous mission performance of unmanned aerial vehicles, the intelligent framework and unmanned aerial vehicle module must be smoothly linked. However, it was difficult to provide interworking for drones using periodic message protocols with model-based interfaces of intelligent frameworks for existing service robots. First, the message model lacked expressive power for periodic message protocols, followed by the problem that interoperability of asynchronous data exchange methods of periodic message protocols and intelligent frameworks was not provided. To solve this problem, this paper proposes a message model extension method for message periodic description to secure the model's expressive power for the periodic message model, and proposes periodic and asynchronous data exchange methods using the extended model to provide interoperability of different data exchange methods.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.35-44
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• 2014

School education is changed to the learner-centered on 21th century knowledge base information-oriented society. The construction of infrastructure for smart education in the field of education has enabled various educational approaches using this and self-directed learning depending on the levels of learners. Thus, this study created the contents by applying ePUB format based-authoring tools for e-books to subject learning and analyzed the effect on the development of self-directed learning ability of learners. It was confirmed that the experimental group improved the self-directed learning ability better than the control group through e-book making activities from learning results on social studies and history curriculum of fifth graders. The result of this study showed a high level of satisfaction in all the subgroups of self-directed learning ability such as intrinsic motivation, openness to learning opportunities and autonomy.

• Journal of The Korean Association of Information Education
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• v.15 no.1
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• pp.93-100
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• 2011

Previous studies on educational programming language reported that programming education can help students develop their abilities in cognitive, logical and reflecting thinking for problem solving. In this study, we examined the effects of Scratch programming language education on self-directed learning ability through six-grade elementary school students. The study results are that the treatment group shows more improvement with statistical significance on the subscales of self-directed learning such as openness, internal motivation, and autonomy, than the control group. These effects are especially larger with the students with high ICT literacy, whose degree is higher than that as a result of using digital textbook, UCC, and cyber home education reported in previous studies.

• Journal of Korean Academy of Nursing Administration
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• v.2 no.1
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• pp.5-15
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• 1996

The purpose of this study is analysis of the relationship between autonomy and group cohesiveness perceived by nurses and their job satisfaction, organizational commitment, motivation and intend to stay on jobs to develope the nursing staff management. The results are as follows: 1. Characteristics of subjects are not significantly different in perceived autonomy, but group cohesiveness, organizational commitment and intend to stay on jobs are different in nursing unit(p<.05). Educational background is significantly different in job satisfaction: nurses who has diploma show higher scores than who has baccalaureate degree(p<.05). 2. Perceived autonomy is related with job satisfaction, motivation and intend to stay on jobs but is not related with organizational commitment(p<.05). 3. Group cohesiveness perceived by nurses is significantly related with job satisfaction, organizational commitment motivation and intend to stay on jobs and their correlation coefficients are higher than that of perceived autonomy(p<.05). 4. The interaction effect of autonomy and group cohesiveness with all dependent variables is not significant(p>.05). The main effect on all dependent variables is presented as group cohesiveness. 5. The canonical correlation coefficient of independent variables and dependent variables is 0.503(p<0.000). The above results are important in the aspect of the development of strateges for retension of qualified nurses performing quality of nursing care and organizational efficacy. Autonomy and group cohesiveness perceived by nurses are important factors in nursing staff management; the further studys on job redesign and intervention strateges for enhancing group cohesiveness are needed.

• The KIPS Transactions:PartA
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• v.11A no.4
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• pp.257-266
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• 2004

Mobile agents are defined as processes which can be autonomously delegated or transferred among the hosts in a network in order to perform some computations on behalf of the user and co-operate with other agents. Currently, mobile agents are used in various fields, such as electronic commerce, mobile communication, parallel processing, search of information, recovery, and so on. In pure P2P network environment, if mobile agents that require computing resources rashly migrate to another peers without consideration on the peer's capacity of resources, the peer may have a problem that the performance of the peer is degraded due to lack of resources. To solve this problem, we propose resource reservation based load balancing scheme of using RMA(Resource Management Agent) that monitors workload information of the peers and that decides migrating agents and destination peers. In mobile agent migrating procedure, if the resource of specific peer is already reserved, our resource reservation scheme prevents other mobile agents from allocating the resource.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.258-265
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• 2011

The purpose of the study is to find out the causal relationship between the job characteristics of tax officials and empowerment and organizational effectiveness. The subjects were the tax officials from regional tax offices and tax offices in Busan and South Gyeongsang Province selected by convenience sampling and 350 questionnaires were analyzed. The study results showed that their job importance and job autonomy had positive effects on empowerment and the higher the empowerment was, the higher organizational effectiveness was, and the higher their job satisfaction was, the higher their organizational commitment was. The results reflected the job characteristics of the administrative tasks of tax organizations. Therefore, the tax officials should be empowered by encouraging their willing participation and creativity and vesting authority and responsibility in them and should be motivated to achieve higher organizational performance through their job satisfaction and organizational commitment.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.1-8
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• 2016

Strengthening self-directed learning ability is established as one of the goals of gifted education in Korea. In addition, it should be noted that self-directed learning can be realized in variety of ways as favorable conditions and environments are fostered to provide gifted education utilizing program. in the recent days. But, gifted learning programs for programming are programmed for information gifted student. Therefore, we have analyzed in this study the effects of improvement on self-directed learning ability of mathematically gifted student through class utilizing app inventor program for self-directed learning ability. Built up from the 4th and 5th grade to elementary math one class for gifted children complete by making math quiz, we use the app inventor to activity. The result of experiment showed very significant difference in the post-survey to less than .002 in the pre-survey in terms of three domains, which are intrinsic motivation, the openness of learning opportunities and autonomy which corresponds to sub-elements of self-directed learning ability. We could verify from the result of the study that mathematically gifted student learning program utilizing app development activity have positive effects on self-directed learning ability of mathematically gifted students.