• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.8
• /
• pp.4108-4122
• /
• 2019

Workflow process mining is becoming a more and more valuable activity in workflow-supported enterprises, and through which it is possible to achieve the high levels of qualitative business goals in terms of improving the effectiveness and efficiency of the workflow-supported information systems, increasing their operational performances, reducing their completion times with minimizing redundancy times, and saving their managerial costs. One of the critical challenges in the workflow process mining activity is to devise a reasonable approach to discover and recognize the bottleneck points of workflow process models from their enactment event histories. We have intuitively realized the fact that the iterative process pattern of redo-activities ought to have the high possibility of becoming a bottleneck point of a workflow process model. Hence, we, in this paper, propose an algorithmic approach and its implementation to discover the redo-activities and their performers' involvements patterns from workflow process enactment event logs. Additionally, we carry out a series of experimental analyses by applying the implemented algorithm to four datasets of workflow process enactment event logs released from the BPI Challenges. Finally, those discovered redo-activities and their performers' involvements patterns are visualized in a graphical form of information control nets as well as a tabular form of the involvement percentages, respectively.

• Journal of Information Processing Systems
• /
• v.11 no.4
• /
• pp.538-555
• /
• 2015

Event detection based on using features from a static grid can give poor results from the viewpoint of two main aspects: the position of the camera and the position of the event that is occurring in the scene. The former causes problems when training and test events are at different distances from the camera to the actual position of the event. The latter can be a source of problems when training events take place in any position in the scene, and the test events take place in a position different from the training events. Both issues degrade the accuracy of the static grid method. Therefore, this work proposes a method called a dynamic grid for event detection, which can tackle both aspects of the problem. In our experiment, we used the dynamic grid method to detect four types of event patterns: implosion, explosion, two-way, and one-way using a Multimedia Analysis and Discovery (MAD) pedestrian dataset. The experimental results show that the proposed method can detect the four types of event patterns with high accuracy. Additionally, the performance of the proposed method is better than the static grid method and the proposed method achieves higher accuracy than the previous method regarding the aforementioned aspects.

• International Journal of Advanced Culture Technology
• /
• v.10 no.3
• /
• pp.325-331
• /
• 2022

As the perception of sports activities changes positively, the desire and popularity for sports activities are rapidly increasing. Therefore, the popularity of sporting events is also increasing. Previous studies on sporting events have focused only on research in the field of social sciences. Therefore, in this study, in order to increase customer satisfaction and customer loyalty of sports event visitors, they were classified into challenge factors, competition factors, achievement factors, and relationship factors, and their effects on satisfaction and loyalty were studied and analyzed. And based on the research design model and empirical analysis, a user-based sports event matching system was proposed.

• Journal of Technology Innovation
• /
• v.6 no.1
• /
• pp.99-127
• /
• 1998

The purposes of this study are first, to plan communication strategies for promoting the 1st National Science Festival and other events of the April 1997's Science Month in Koreas; second, to monitor communication activities done for those events; third, to evaluate effects of communication activities. Both the Ministry of Science and Technology and the Korea Science Foundation were arranged to execute our planned communication strategies. Basically we utilized the three sequences of human behavioral condition : Exposure, attention, and cognition. For planning, we suggested concrete communication strategies for each sequence, for example, first, those for bringing exposure to every event, second, those for bringing attention to the event, and third, those for bringing cognition of the event. Those communication strategies were suggested to use specifics of newspapers, television programs, radio programs, commercial and corporate magazines, electric visual sign advertisements on the street, and computer communication. For monitoring and evaluation, we used the same three sequences as the criteria. For example, we monitored and evaluated how much exposure, attention or cognition an event got or which specific medium contributed to exposure to, cognition of an event. For monitoring, graduate students were dispatched to examine each event through watching and interviewing. For evaluation, about 950 of event participants and non-participants were surveyed by means of face-to-face interview. Overall, we found that newspaper articles and television programs contributed a lot to people's exposure to events of the April 1997's Science Month. Especially, newspaper played a major role of heightening exposure. However, most events and/or their science and technology content failed to get salient attention and its following active cognition. The 1st National Science Festival attracted much exposure, but had some problems of disorder and commercialism. This sharp increase of exposure and some attention were believed to have reinforced people's, especially event participants' positive opinion of science and technology which is part of scientific culture.

• Journal of information and communication convergence engineering
• /
• v.6 no.3
• /
• pp.279-284
• /
• 2008

We propose the iconic animation of the software requirement specifications by using the object and dynamic models of the object modeling technique(OMT) methodology. In order to produce the iconic animation, we use "graphical classes" and "icon transformations." In general, the graphical classes are defined for each class of the object diagram. The icon transformations which show the activities of the application are constructed by considering the meaning of the activities and are defined by either basic or compound icons. The icon transformations are added to the state diagrams to generate extended state diagrams. The animation system generates the header files and the code instantiating GUI from the object diagram having graphical classes. The system also generates "event methods" from the extended state diagrams. When the event methods are executed, the behavior of the events is animated by the icon transformations.

• Journal of KIISE
• /
• v.43 no.7
• /
• pp.781-785
• /
• 2016

Learning from human behaviors in the real world is essential for human-aware intelligent systems such as smart assistants and autonomous robots. Most of research focuses on correlations between sensory patterns and a label for each activity. However, human activity is a combination of several event contexts and is a narrative story in and of itself. We propose a novel approach of human activity prediction based on event cognition. Egocentric multi-sensor data are collected from an individual's daily life by using a wearable device and smartphone. Event contexts about location, scene and activities are then recognized, and finally the users" daily activities are predicted from a decision rule based on the event contexts. The proposed method has been evaluated on a wearable sensor data collected from the real world over 2 weeks by 2 people. Experimental results showed improved recognition accuracies when using the proposed method comparing to results directly using sensory features.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2004.05a
• /
• pp.544-547
• /
• 2004

Current increasingly information systems log historic information in a systematic way. Not only workflow management systems, but also ERP, CRM, SCM, and B2B systems often provide a so-called 'event log'. Unfortunately, the information in these event logs is rarely used to analyze the underlying processes. Process mining aims at improving this problem by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs. This paper focuses on the mining social networks. This is possible because event logs typically record information about the users executing the activities recorded in the log. To do this we combine concepts from workflow management and social network analysis. This paper introduces the approach and presents a tool to mine social networks from event logs.

• Journal of the Korea Safety Management & Science
• /
• v.20 no.2
• /
• pp.65-76
• /
• 2018

Recently, most of the information system use environment is changing to GUI environment based on windows and web. Most of the development tools for building such a GUI-based information system support object-oriented and event-driven programming concepts. However, there is still a lack of a development methodology that systematically supports event-based information system construction. From a business perspective, an information system is one that supports business processes efficiently and effectively to improve business performance. These business processes are composed of business activities which involve a series of business events. A business event is executed according to a business scenario. Therefore, it is necessary to grasp these events in the requirements analysis stage and to apply it on the system development methodology. However, information systems development methodology which systematically reflect the event processing concept still is insufficient. From this viewpoint, this paper proposes an event-driven scenario-based development methodology that can meet the recent development environment of information systems, and applies the proposed methodology to a small scale information system development case.

• Journal of Biomedical Engineering Research
• /
• v.30 no.4
• /
• pp.306-310
• /
• 2009

The purpose of this study is to observe the change in gamma-band cortical activities (GBAs) due to task difficulty. Event-related potential and gamma-band activity were investigated using electroencephalograms recorded during auditory oddball tasks with two difficulty levels. For more difficult task, the amplitude of P300 decreased and the peak latency of P300 was delayed significantly compared to easier task. The induced GBA decreased considerably during the P300 latency period and the peak latency of the induced GBA was delayed for more difficult task. The results imply that the difficulty-related change in cortical information processing may be implemented as a change in the strength of local neuronal association.

• Journal of Broadcast Engineering
• /
• v.8 no.4
• /
• pp.399-409
• /
• 2003

In this paper, we present an Event Reporting which is one of the major items of MPEG-21 and exemplify two digital data broadcasting use case scenarios, and according1y we propose the Event Reporting message structure for MPEG-21 broadcasting contents that is based on these use case scenarios. Every interaction with a Digital Item in the multimedia framework can be called an Event. The need to standardize Event Reporting within the Multimedia Framework arise from the need to monitor and communicate amongst Peers and Users the Events relating to Digital Items and/or the programs and devices that operate on them at any given time. However, there are a number of difficulties in providing an accurate report about an Event. Different observers of the Event may have vastly different perspectives. In this paper, we describe a structure and vision of the Event Reporting. Besides we show the activities on MPEG-21 Event Reporting standardization.