• The Journal of Fisheries Business Administration
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• v.16 no.2
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• pp.1-18
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• 1985

The dispute on the object of study in the business management have been carried out since 1912 in Germany, and then it is the situation of "business management" academic world there is no the confirmed object. But P. F. Drucker has prescribed the large enterprise as the object of his study of management, because the large enterprise it the decisive, the representative, and constitutive in modern industrial country. And it is usual that we would consider the large manufacturing enterprise as the object of study. But, in fisheries management, because large fisheries enterprises are almost attached too much to the pelagic fisheries, it is judged that they are not "decisive". And it is judged that they are not "representative", because the large fisheries enterprises can not sufficiently symbolize the managerial characteristic of fisheries industry. The coastal and inshore fisheries which constitute th real part of fishing industry have been operating by private enterprises which are small business in scale, so the large fisheries enterprises could not be considered "constitutive " Therefore, the private fisheries enterprises is "decisive" because it is distributed in all most fisheries management, "representative" because it is exceedingly symbolize the managerial characteristic of fishing industry, and constitutive because it constitute the real part of fisheries industry. From the above-mentioned, it could be concluded that the object of study is regarded the private fisheries enterprise as appropriate as long as it is engaging in producing fisheries product as good and conducts the pursuit of principle of profit maximization. Because the object of study can not include all the thing which has to be observed in order to study, the materialization of the object is actually necessary. And then as aforesaid we intend to realize the materialization through taking the private fisheries enterprise as the object in fisheries management theory. And the materialization does mean a necessary process in choosing the object of analysis, but not the entity itself.choosing the object of analysis, but not the entity itself.

• The Pure and Applied Mathematics
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• v.17 no.2
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• pp.137-143
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• 2010

Category Fuz of fuzzy sets has a similar function to the Category Set. But it forms a weak topos. We study a natural number object and a weak natural number object in the weak topos Fuz. Also we study the weak natural number object in $Fuz^C$.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.3
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• pp.15-28
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• 2019

Artificial intelligence is evolving rapidly in the ICT field, smart convergence media system and content industry through the fourth industrial revolution, and it is evolving very rapidly through Big Data. In this paper, we propose a face recognition method based on object recognition based on object recognition through artificial intelligence. In this method, Were experimented and studied through the object recognition technique of artificial intelligence. In the conventional 3D image field, general research on object recognition has been carried out variously, and researches have been conducted on the side effects of visual fatigue and dizziness through 3D image. However, in this study, we tried to solve the problem caused by the quantitative difference between object recognition and object recognition for human factor algorithm that measure visual fatigue through cognitive function, morphological analysis and object recognition. Especially, The new method of computer interaction is presented and the results are shown through experiments.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.4
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• pp.71-79
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• 2017

Recently, Fire watching and dangerous substances monitoring system has been being developed to enhance various fire related security. It is generally assumed that fire flame extraction plays a very important role on this monitoring system. In this study, we propose the fire flame extraction method of Non-Residential Facilities based on core object extraction in image. A core object is defined as a comparatively large object at center of the image. First of all, an input image and its decreased resolution image are segmented. Segmented regions are classified as the outer or the inner region. The outer region is adjacent to boundaries of the image and the rest is not. Then core object regions and core background regions are selected from the inner region and the outer region, respectively. Core object regions are the representative regions for the object and are selected by using the information about the region size and location. Each inner region is classified into foreground or background region by comparing its values of a color histogram intersection of the inner region against the core object region and the core background region. Finally, the extracted core object region is determined as fire flame object in the image. Through experiments, we find that to provide a basic measures can respond effectively and quickly to fire in non-residential facilities.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.1-12
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• 2016

Digital imaging technology has developed into a state-of-the-art IT convergence, composite industry beyond the limits of the multimedia industry, especially in the field of smart object recognition, face - Application developed various techniques have been actively studied in conjunction with the phone. Recently, face recognition technology through the object recognition technology and evolved into intelligent video detection recognition technology, image recognition technology object detection recognition process applies to skills through is applied to the IP camera, the image object recognition technology with face recognition and active research have. In this paper, we first propose the necessary technical elements of the human factor technology trends and look at the human object recognition based spFACS (Smile Progress Facial Action Coding System) for detecting smiles study plan of the image recognition technology recognizes objects. Study scheme 1). ASM algorithm. By suggesting ways to effectively evaluate psychological research skills through the image object 2). By applying the result via the face recognition object to the tooth area it is detected in accordance with the recognized facial expression recognition of a person demonstrated the effect of extracting the feature points.

• Asia pacific journal of information systems
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• v.10 no.2
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• pp.1-22
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• 2000

This paper presents an exploratory research on the application of the Technology Acceptance Model(TAM) to the domain of object orientation to investigate the validity of TAM in the perspective of its causal relationships. In the Management Information Systems(MIS) area, TAM has been applied to computer usage behavior as a specific technology adoption model. This paper also suggests the factors that affect the technology acceptance of object orientation in U.S. organizations through a modified TAM. Two major research questions are addressed. First, this research investigates the effect of these external variables on the dependent variable, the actual usage of object orientation in the viewpoint of knowledge interaction between structured methods and object orientation. Second, is TAM valid for the technology acceptance of object orientation in terms of its causal relationships? This study empirically explores the impact of the external variables on the level of actual usage of object orientation via the mediating variables in TAM. A structured questionnaire is administered to Data Processing Management Association(DPMA) professionals in US. The result of this study reveals one important contradictory finding that is not consistent with expectations based on related theory. TAM does not accommodate the technology acceptance of object orientation perhaps because object orientation is a complex and organization-level adoptive technology or the measures for the mediating constructs in TAM may not be appropriate in industry settings.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1998.10a
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• pp.613-622
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• 1998

This study investigates the factors that affect the adoption of object orientation . One major research question is addressed : What are the factors that significantly influeence the adoption of object orientation ? This study especially explores the impact of independent variables on the level of actual usage of object orientation. The independent variables are classified into four categories as follow ; (1) Individual factors : amount of experience in using the structures methods and level of openness toward new technologies ; (2) Managerical factors : perceived management support and training : (3) Organizatinal factors : number of IS professionals in the working group and that in organization ; and (4) Environmental factors ; accessibility to technology champions and software hardware environment supporting object orientation. A Questionnaire measuring the above variables was utilized to investigate the effect of these variables on the dependent variable, the actual usage of object orientation. The structured questionnaire was administered to Data Processing Management Association (DPMA) professionals in U. S. The results of this study revealed several important findings with most results being consistent with expectations based on related theory. The personal openness toward new technologies, perceived management support, training, and hardware/software environment were highly related to the usage of object orientation. This study suggested an empiriclal basis for understanding the early adoption of object orientation in organization.

• Proceedings of the IEEK Conference
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• 2000.06d
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• pp.50-53
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• 2000

In this work, the new algorithm that automatically extracts moving object of the video image is presented. In order to extract moving object, it is that velocity vectors correspond to each frame of the video image. Using the estimated velocity vector, the position of the object are determined. the value of the coordination of the object is initialized to the seed, and in the image plane, the moving object is automatically segmented by the region growing method. As the result of an application in sequential images, it is available to extract a moving object.

• 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 Korea Society of Digital Industry and Information Management
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• v.11 no.3
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• pp.99-112
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• 2015

Digital imaging technology has advanced beyond the limits of the multimedia industry IT convergence, and to develop a complex industry, particularly in the field of object recognition, face smart-phones associated with various Application technology are being actively researched. Recently, face recognition technology is evolving into an intelligent object recognition through image recognition technology, detection technology, the detection object recognition through image recognition processing techniques applied technology is applied to the IP camera through the 3D image object recognition technology Face Recognition been actively studied. In this paper, we first look at the essential human factor, technical factors and trends about the technology of the human object recognition based SPFACS(Smile Progress Facial Action Coding System)study measures the smile detection technology recognizes multi-faceted object recognition. Study Method: 1)Human cognitive skills necessary to analyze the 3D object imaging system was designed. 2)3D object recognition, face detection parameter identification and optimal measurement method using the AAM algorithm inside the proposals and 3)Face recognition objects (Face recognition Technology) to apply the result to the recognition of the person's teeth area detecting expression recognition demonstrated by the effect of extracting the feature points.