• IE interfaces
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• v.10 no.1
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• pp.169-187
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• 1997

Recently, in organizations many decisions are being made by groups. And the organization is changing a lot so are groups. To help decision making of changing groups, we need more flexible and more adaptive GDSS. Therefore one of the critical success factors of GDSS is flexibility and incremental improvement. Prior research on specifying design requirements of GDSS suggests generic design requirements. But they are too general to be incorporated directly into system design, because of the disparity between real group and ideal group that the researchers studied. Many design strategies that start from the generic design requirements thus have contingency variables that changes as the characteristics of group change. From the viewpoint of developers, these variables implicate the desirability of flexibility. To achieve flexibility we need new methodology of design and implementation. Nowadays, object-oriented analysis and design methodologies have been progressed to the point that many systems are being developed through these methodologies. In this paper, a design is proposed using Object-Oriented Modeling Techniques(OMT). Exploiting object-oriented paradigm results in a highly flexible and easily upgradable design.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.85-88
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• 2009

In this paper, we propose a DRF-based object detection method using the object adaptive patch in the satellite imagery. It is a Discriminative Random Fields (DRF) based work, so the detection is done by labeling to the possible patches in the image. For the feature information of each patch, we use the multi-scale and object adaptive patch and its texton histogram, instead of using the single scale and fixed grid patch. So, we can include contextual layout of texture information around the object. To make object adaptive patch, we use "superpixel lattice" scheme. As a result, each group of labeled patches represents the object or object's presence region. In the experiment, we compare the detection result with a fixed grid scheme and shows our result is more close to the object shape.

• Journal of Distribution Science
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• v.15 no.6
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• pp.57-64
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• 2017

Purpose - The purpose of this study is to investigate the effect of brand message type on the object relevance between consumers and brands and to identify the mediation role of the object relevance in the effect of the message type on brand attitude. Research design, data, and methodology - Types of pride are classified into hubristic pride and authentic pride, and brand message types are divided into ability message and warmth message. Restaurant brand was selected by empirical study, and the experiment was performed with 2 (pride type: hubristic versus authentic) × 2 (message type: ability message versus warmth message) between-subjects design. The subjects of the experiment consisted of the undergraduates taking courses related to marketing. A preliminary step was taken to explore the difference in the perceived level of object relevance induced from each type of message between the consumer group that felt hubristic pride and the other group that felt authentic pride. This study analyzed the mediating role of the object relevance in the effects of the message type on brand attitude by means of Bootstrap method for each of the pride groups. Results - The results from the empirical analysis are summed up as follows. Regardless of pride types they felt in advance, consumers perceived their object relevance to be higher in the warmth information message than in the ability information message, and object relevance was analyzed to have a positive effect on brand attitude. It was analyzed that, regardless of pride types, object relevance played full mediation roles in the effect of warmth information versus ability information message on brand attitude. Conclusions - Based on the results, it may be suggested that marketers of a brand should endeavor to develop a warmth information message rather than a ability information message to prompt consumers to perceive the object relevance between their own brands and consumers, regardless of pride types, as long as a consumer feels pride in advance. In order to increase the consumers' attitude toward their brand, the brand marketers are solicited to check the object relevance between their brand and consumers, then, seek for the managerial ways to promote such object relevance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.50
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• pp.91-103
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• 1999

This paper deals with effectiveness of Object-Oriented Modeling and Design(OOMD) through GroupSystems V which is a typical groupware or group decision support system(GDSS) to aid group work. Objective and subjective evaluations between traditional non-GDSS face-to-face group and GDSS-supported group have been performed in terms of modeling accuracy and subjective ratings, respectively. Experimental results indicate that the GDSS group shows much better performance than the traditional group in the realm of OOMD. In particular, when a modeling task is not simple or not structured, the former outperforms the latter. Based on the questionaire, the GDSS group feel more equal status and have less dominant voices than do the non-GDSS group. These facts show that GDSS can be used effectively for OOMD under Korean cultures.

• The Transactions of the Korea Information Processing Society
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• v.7 no.4
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• pp.1050-1061
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• 2000

This paper presents a new object model, LOM(Lightweight Object Model) and an implementation method for the distributed trader in heterogeneous distributed computing environment including mobile network. Trader is third party object that enables clients to find suitable servers, which provide the most appropriate services to client in distributed environment including dynamic reconfiguration of services and servers. Trading service requires simpler and more specific object model than genetic object models which provide richer multimedia data types and semantic characteristics with complex data structures. LOM supports a new reference attribute type instead of the relationship, inheritance and composite attribute types of the general object oriented models and so LOM has simple data structures. Also in LOM, the modelling step includes specifying of the information about users and the access right to objects for security in the mobile environment and development of the distributed storage for trading service. Also, we propose and implementation method of the distributed trader, which integrates the LOM-information object model and the OMG (object Management Group) computational object model.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.13 no.4
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• pp.298-306
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• 2013

Recent years have witnessed a growing interest in the fields of video surveillance and mobile object tracking. This paper proposes a mobile object tracking algorithm. First, several parameters such as object window, object area, and expansion-contraction (E-C) parameter are defined. Then, a modified E-C algorithm for multiple-object tracking is presented. The proposed algorithm tracks moving objects by expansion and contraction of the object window. In addition, it includes methods for updating the background image and avoiding occlusion of the target image. The validity of the proposed algorithm is verified experimentally. For example, the first scenario traces the path of two people walking in opposite directions in a hallway, whereas the second one is conducted to track three people in a group of four walkers.

• Korean Journal of Child Studies
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• v.2
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• pp.1-16
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• 1981

This study had two purposes. First, to examine the stages and developmental order of object permanence based on Piaget's theory. Second, to assess the effects of delay, attentiveness, and direction of gaze. Two experiments were conducted to examine the object permanence development in infants. The subjects for the 2 experiments were randomly drawn from a well-baby clinic. The subjects for Experiment 1 were 72 infants, 12 each in 6 age levels : 6, 9, 12, 15, 18, and 21 months old. Experiment 1 was designed to examine the stages and developmental order of object concept development, ana infants received 5 tasks as follows : (1) finding an object partially hidden under one box (2) finding an object completely hidden under one box (3) finding an object after successive visible displacements (4) finding an object after one invisible displacement (5) finding an object after successive invisible displacements. The subjects for Experiment 2 were 24 9-month-olds. Experiment 2 was designed to assess the effects of delay, attentiveness, and direction of gaze for Stage IV of object concept development. Subjects were equally assigned into one of two delay groups: 0-sec delay and 3-sec delay. Attentiveness was rated in terms of a three-point scale, and then divided into high and low attentive groups. Direction of gaze was judged into two directions. In two experiments, infants received three trials of task, and received a score of 0, 1, 2 for each trials. Data were analyzed by ANOVA, Tukey test, and t-test for task performance, and direction of gaze was analyzed by chi-square. The results obtained from two experiments were as follows : 1. In object permanence test, subjects obtained significantly higher scores with age, and 6, 9, 12, 18 months were classified into different developmental stages. 2. In object permanence development, subjects received significantly different scores with task and a developmental order of tasks was found. First of all, infants mastered finding an object partially hidden under one box, and then mastered finding an object completely hidden under one box. Contrary to Piagetian theory, in this study, the development of finding an object after successive visible displacements and finding an object after one invisible displacement were sometimes reversed. Finally, finding an object after successive invisible displacements was mastered, and the concept of object permanence was completed. 3. In Stage IV of object concept development, a 3-sec delay did not significantly affect the performance of tasks. The O-sec delay group didn't perform significantly better than the 3-sec delay group. 4. In Stage IV of object concept development, attentiveness of infants significantly affected the performance of task. So the highly attentive infants obtained better performance scores than the low attentive infants. 5. In Stage IV of object concept development, direction of gaze significantly affected the performance of task. That is, infants who gazed at the box which contained the object showed a higher rate of success than infants who gazed at the box which had already displaced the object.

• Journal of the Korea Computer Industry Society
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• v.7 no.1
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• pp.1-6
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• 2006

This paper has been designed extend object-orientid database model that introducted new class basing the Heurilistic Classfication model. In order to implement this model, we have introducted heurilistic class to Object-orinted multimedia program. And we compared copmparing group with treating group using Object-orinted multimedia program and study relationship of creation.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.200-203
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• 1996

Object-Oriented Modeling Technique (OMT) [1] promotes better understanding of requirements, cleaner designs, and more maintainable systems. A development of Group Decision Support System (GDSS) needs this advantage of OMT. GDSS designed through OMT proposes 3 modelings, object modeling, dynamic modeling, and functional modeling. This paper illustrates a design of GDSS using these 3 modelings. By exploiting the object-oriented paradigm, this design results in a highly system-independent design. And this paper shows some implementation issues including a tip of C++ code.

• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.40-46
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• 2020

As interest in traffic safety increases, research on autonomous driving, which reduces the incidence of traffic accidents, is increased. Object recognition and detection are essential for autonomous driving. Therefore, research on object recognition and detection through traffic image big data is being actively conducted to determine the road conditions. However, because most existing studies use only daytime data, it is difficult to recognize objects on night roads. Particularly, in the case of a light source object, it is difficult to use the features of the daytime as it is due to light smudging and whitening. Therefore, this study proposes Yolo based light source object detection for traffic image big data processing. The proposed method performs image processing by applying color model transitions to night traffic image. The object group is determined by extracting the characteristics of the object through image processing. It is possible to increase the recognition rate of light source object detection on a night road through a deep learning model using candidate group data.