• Journal of Korea Society of Digital Industry and Information Management
• /
• v.9 no.1
• /
• pp.141-150
• /
• 2013

This study proposes technology using Active Shape Model to track the object separating it by depth-sensors. Unlike the common visual camera, the depth-sensor is not affected by the intensity of illumination, and therefore a more robust object can be extracted. The proposed algorithm removes the horizontal component from the information of the initial depth map and separates the object using the vertical component. In addition, it is also a more efficient morphology, and labeling to perform image correction and object extraction. By applying Active Shape Model to the information of an extracted object, it can track the object more robustly. Active Shape Model has a robust feature-to-object occlusion phenomenon. In comparison to visual camera-based object tracking algorithms, the proposed technology, using the existing depth of the sensor, is more efficient and robust at object tracking. Experimental results, show that the proposed ASM-based algorithm using depth sensor can robustly track objects in real-time.

• Asia pacific journal of information systems
• /
• v.20 no.2
• /
• pp.23-37
• /
• 2010

Conventional Support Vector Machines (SVMs) have been utilized as classifiers for binary classification problems. However, certain real world problems, including corporate bond rating, cannot be addressed by binary classifiers because these are multi-class problems. For this reason, numerous studies have attempted to transform the original SVM into a multiclass classifier. These studies, however, have only considered nominal classification problems. Thus, these approaches have been limited by the existence of multiclass classification problems where classes are not nominal but ordinal in real world, such as corporate bond rating and multiclass customer classification. In this study, we adopt a novel multiclass SVM which can address ordinal classification problems using ordinal pairwise partitioning (OPP). The proposed model in our study may use fewer classifiers, but it classifies more accurately because it considers the characteristics of the order of the classes. Although it can be applied to all kinds of ordinal multiclass classification problems, most prior studies have applied it to finance area like bond rating. Thus, this study applies it to a real world customer level classification case for implementing customer relationship management. The result shows that the ordinal multiclass SVM model may also be effective for customer level classification.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.21 no.3
• /
• pp.109-125
• /
• 1996

Biases and errors in the human being's reasoning process have been studied continuously by the researchers, especially psychlogists and social scientists. These bias phenomenon is classified on the basis of the origin, i. e. motivation and cognition. Furthermore the necessity of research on the bias in the management and management information system areas in increased more and more recently, which have their academic backgrounds in the psychology and social science. The biased information stream is transformed into the systematic error due to the motivation and cognitive bias of human-being, then its resulting phenomena are as follows; 1. the availability of salient information 2. preconceived ideas or theories about peoples and event 3. anchoring and perseverence phenomena. In order to reduce the information errors, Satty suggested the Analytic Hierarchy Process (AHP) that is the subject of this paper and that is widely used for evaluation of complex decision making alternatives. THerefore this paper studies AHP's effects and its limitations in applying to the management area. Thus this paper compared the performances of the 3 models : 1 the traditional additive regression model. 2 regression model using the factor score, and 3 the regression model with AHP. As a result, 3 models produce the different outcomes.

• Convergence Security Journal
• /
• v.13 no.3
• /
• pp.79-84
• /
• 2013

In this study the improved service innovation model to solve the problems that appear from a vantage point of the providing security services process through the application and appeal process of convergence security technologies proposed. The model was in view of service science to resolves the limitations that facilities management and unmanned security of physical security field through the application of meteorological information on convergence security technologies. The contribution of this research: improved risk management based on convergence security technologies through service innovation management, evaluated the quantitative value of risk management activity using service effects, and development of physical security service providing methodology using meteorological information.

• Asia pacific journal of information systems
• /
• v.25 no.4
• /
• pp.746-762
• /
• 2015

This study developed a conceptual model that integrated psychological and physical reactions resulting from online tourism reviews through a longitudinal trust-satisfaction model (LSTM) developed based on the extended valence framework and expectation-confirmation theory. Online reviews are essential factor of consumer's purchase decision. This phenomenon is well applied in a tourism context. However, investigations on online reviews in a longitudinal approach in a tourism context are quite limited. Therefore, this study suggests a conceptual model based on LTSM and several propositions about how online tourism reviews, which are divided into factual and experiential reviews, influence the future travelers' perceptions and attitudes, such as expectation, confirmation, and destination loyalty, in a longitudinal format by examining previous related studies. Finally, expected results were discussed and several implications were described theoretically and practically.

• Journal of the Korean Society of Safety
• /
• v.32 no.5
• /
• pp.179-185
• /
• 2017

Accident analysis is an essential process to make basic data for accident prevention. Most researches depend on survey data and accident statistics to analyze accidents, but these kinds of data are not sufficient for systematic and detailed analysis. We, in this paper, propose an accident classification model that extracts task type, original cause materials, accident type, and the number of deaths from accident reports. The classification model is a support vector machine (SVM) with word occurrence features, and these features are selected based on mutual information. Experiment shows that the proposed model can extract task type, original cause materials, accident type, and the number of deaths with almost 100% accuracy. We also develop an accident ontology to express the information extracted by the classification model. Finally, we illustrate how the proposed classification model and ontology effectively works for the accident analysis. The classification model and ontology are expected to effectively analyze various accidents.

• Asia pacific journal of information systems
• /
• v.3 no.1
• /
• pp.3-30
• /
• 1993

This paper provides a model for aligning business and information technology strategies. The model, expanded from the earlier study by Henderson and Venkatraman, is composed of four elements: business strategy, business infrastructure, information technology strategy, and information technology infrastructure, and suggests different ways of aligning business and information technology strategies. Basically, there are three types of aligning: integrating, domain based aligning, business reengineering. The validity of the model is supported by case studies.

• Journal of Korean Library and Information Science Society
• /
• v.33 no.1
• /
• pp.169-192
• /
• 2002

Knowledge management(KM) is a concept that has emerged explosively in the business community as a major issue of the 1990s. In this paper, the background and definition of KM and some major issues such as central groups and themes dominating the field of KM are outlined In brief. In particular, a descriptive model is proposed integrating explicit knowledge, tacit knowlegde and the infrastructure, and its key characteristics are examined in detail. Also a few methods to build efficient KM systems(KMS) as well as some conventional practices in KMS, and the librarian's role in KMS realization are briefly introduced.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.19 no.3
• /
• pp.37-44
• /
• 2023

In the future society, a means to verify the identity of the information owner is required at the beginning of most services that the information owner encounters, and the emergence and gradual spread of digital identification that proves the identity of the information owner is essential. In addition, as the utilization value of personal information increases, discussions on how to provide personal information are active. Therefore, there is a need for a personal information management method necessary for building a hyper-connected society that is safe from various hacking, forgery, alteration, and theft by allowing the owner to directly manage and provide personal information management. In this study, a decentralized identity information management model that overcomes the problems and limitations of the centralized identity management method of personal information and manages and selectively provides personal information by the information owner himself and implemented a smart personal information provision system(SPIPS: Smart Personal Information Provision System) using a smartphone.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.460-463
• /
• 2002

The construction sector is under growing pressure to increase productivity and improve quality, most notably in reports. A major problem for constriction companies is the lack of project assessing model for project management. One method of solving the problem is through the systematic management of construction processes. A development of model for assessing PMIS practice is attempting to develop a stepwise process assessment framework for the construction industry using Capability Maturity Model. This paper have provided further insights into the understanding of the framework, as well as its value for construction sector.