• Korean Journal of Remote Sensing
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• v.15 no.3
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• pp.167-175
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• 1999

So far, the remote sensing technology has widely been used in a variety of application areas such as military, medical imaging, environment, geology and so forth. The microwave remote sensing uses the wavelengths ranging from around one centimeter up to a few tens of centimeters and is known to be very effective regardless of the weather conditions and the day/night time as compared with the reflective InfraRed (IR) remote sensing or the thermal IR remote sensing. There are three generic modes of synthetic aperture radar imaging systems depending on its application, that is, stripmap mode, spotlight mode, or inverse mode. In this article we focus on the issue of imaging of flying aircrafts for the inverse mode of a ground - based, fixed radar with moving objects. The imaging of flying aircrafts is considered to be an important step for the automatic target recognition systems, and therefore a great deal of efforts have recently been made on the subject. Here we review the three representative methods including the Fourier transform processing, the time - frequency processing, and the reconstruction from the projection. Some relative merits and drawbacks are also discussed.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.4
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• pp.265-272
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• 2019

In this paper, a vision-based deep learning algorithm and image processing method are proposed to detect bolt-loosening in steel connections. To achieve this objective, the following approaches are implemented. First, a bolt-loosening detection method that includes regional convolutional neural network(RCNN)-based deep learning algorithm and Hough line transform(HLT)-based image processing algorithm are designed. The RCNN-based deep learning algorithm is developed to identify and crop bolts in a connection image. The HLT-based image processing algorithm is designed to estimate the bolt angles from the cropped bolt images. Then, the proposed vision-based method is evaluated for verifying bolt-loosening detection in a lab-scale girder connection. The accuracy of the RCNN-based bolt detector and HLT-based bolt angle estimator are examined with respect to various perspective distortions.

• Smart Structures and Systems
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• v.32 no.1
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• pp.23-35
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• 2023

Steel bolted joint is an important part of steel structure, and its damage directly affects the bearing capacity and durability of steel structure. Currently, the existing research mainly focuses on the identification of corroded bolts and corroded bolts respectively, and there are few studies on multiple states. A detection framework of corroded and loosened bolts is proposed in this study, and the innovations can be summarized as follows: (i) Vision Transformer (ViT) is introduced to replace the third and fourth C3 module of you-only-look-once version 5s (YOLOv5s) algorithm, which increases the attention weights of feature channels and the feature extraction capability. (ii) Three states of the steel bolts are considered, including corroded bolt, bolt missing and clean bolt. (iii) Line segment detector (LSD) is introduced for bolt rotation angle calculation, which realizes bolt looseness detection. The improved YOLOv5s model was validated on the dataset, and the mean average precision (mAP) was increased from 0.902 to 0.952. In terms of a lab-scale joint, the performance of the LSD algorithm and the Hough transform was compared from different perspective angles. The error value of bolt loosening angle of the LSD algorithm is controlled within 1.09%, less than 8.91% of the Hough transform. Furthermore, the proposed framework was applied to fullscale joints of a steel bridge in China. Synthetic images of loosened bolts were successfully identified and the multiple states were well detected. Therefore, the proposed framework can be alternative of monitoring steel bolted joints for management department.

• Asia-Pacific Journal of Business
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• v.15 no.3
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• pp.17-45
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• 2024

Purpose - This paper studies the impact of digital transformation on corporate performance based on the stakeholder and dynamic capability theories. Digital transformation is divided into digital technologies (big data, artificial intelligence, blockchain, and cloud computing) and digital technology practical applications. Corporate performance includes financial performance and non-financial performance. The mechanism of dynamic capabilities (innovation capability, absorptive capacity, and adaptive capacity) is further explored. Design/methodology/approach - A fixed-effects model is used to construct a panel data of China's Shanghai and Shenzhen A-share listed companies from 2011 to 2023, and Stata is used for empirical analysis. Findings - In general, digital transformation directly improves corporate performance and indirectly promotes corporate performance through dynamic capabilities (innovation, absorptive capacity, and adaptive capacity). After robustness and endogeneity tests, the conclusion still support. In terms of subdivision, the two dimensions of digital transformation and the practical application of digital technology have different effects on corporate financial performance and non-financial performance. Research implications or Originality - Theoretically, the mechanism of digital transformation on corporate performance is fully and deeply explored, filling the research gap whiting this study. Additionally, the model is constructed using the innovation, absorption and adaptability of dynamic capabilities, providing a different perspective. Practically, it helps to alleviate the current situation of some companies "not wanting to transform" or "not daring to transform", and also clarifies how digital transformation can help companies use dynamic capabilities to improve performance. It provides a decision-making basis for government departments to promote the integration of digital economy and real economy, so that digital transformation can better empower and release corporate performance, thereby promoting the development of China's economy.

• Journal of Korean Academy of Nursing
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• v.22 no.3
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• pp.337-351
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• 1992

Nursing as it is practiced and taught, historically has been viewed as natural science. There are new movements to create a paradigm of nursing in the human sciences. A natural science methodologies elicit quantitative data from observable phenomena and reveal causal relationships. Human science methodology is the study of Unitary Man's participative experience in a situation, the simultaneity paradigm. In a theory of nursing rooted in human science assumptions about man and health are synthesized, and the practice of nursing is continuously expanded through research. To find independent nursing interventions especially cognitive nursing intervention models it has been necessary to consult a multitude of journals and text sources for references, and no one nursing textbook can be used in help patients achieve nursing goals. The goals of nursing in the simultaneity paradigm focus on the quality of life from the person's perspective. Cognitive interventions based on the person's perspective were selected from those that colleagues deemed appropriate to nursing and those that were identified in the nursing literature. They were supportive nursing care, reminiscence, meditation, relaxation and imagery. Nurses have been reluctant to make diagnoses, implement actions, and assume responsibility for this actions and this is of concern but can be understood because nurses have had little exposure to action and lack an intervention armamentarium from with which to choose actions to achieve nursing goals. Efforts in nursing education and nursing service are required to remedy this problem. Nurses must be convinced of the challenge and excitement associated with autonomous functioning. It is a characteristic of the true professional. Traditionally, nursing has prescribed one method for handling a situation. Fundamental nursing texts usually only present one way to handle a situation, because alternative interventions to achieve a client goal may be available. Considerably more research is necessary before these can be prescribed. However, unless a first step is taken, progress will not be made. The quality of health care or nursing care is enhanced when nurses transform dilemas into commited action. This is apparent from widespread experiences of nurses.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.41-50
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• 2017

The purpose of this paper is to improve the service tree analysis introduced recently by Geum et al. [15]. Service tree analysis structures the service based on the customer participation perspective and provides a qualitative analysis method categorizing the service elements on the basis of its impact to top service. This paper attempts to apply the concept of reliability importance to the service tree analysis as a perspective of quantitative analysis, which is considered little in Geum et al. [15]. Reliability importance is a measure of the structural impact of the components that make up the system on the system lifetime in reliability engineering field and often used in fault tree analysis. We transform the reliability importance into service importance in accordance with service tree analysis, so that the influence of service elements on the service can be judged and compared. The service importance is defined as the amount of change of the service according to the change of the service element, therefore, it can be utilized as an index for determining a service element for service improvement. In addition, as an index for paired service elements, the relationship between the two service components can be measured by joint service importance. This paper introduces conceptual changes in the process of applying reliability importance to service analysis, and shows how to use the service importance for identifying the priority of service element for the final service and improving customer satisfaction through an example. By using the service importance and joint service importance in service tree analysis, it is possible to make efficient decision making in the process of determining the service elements for analyzing and improving the service.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.2
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• pp.93-100
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• 2014

3D object recognition using only 2D images is a difficult work because each images are generated different to according to the view direction of cameras. Because SIFT algorithm defines the local features of the projected images, recognition result is particularly limited in case of input images with strong perspective transformation. In this paper, we propose the object recognition method that improves SIFT algorithm by using several sequential images captured from rotating 3D object around a rotation axis. We use the geometric relationship between adjacent images and merge several images into a generated feature space during recognizing object. To clarify effectiveness of the proposed algorithm, we keep constantly the camera position and illumination conditions. This method can recognize the appearance of 3D objects that previous approach can not recognize with usually SIFT algorithm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.293-296
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• 2016

In case of an emergency on a busy road of a city, drivers should make way for special vehicles such as police cars, fire engines, or ambulance as soon as possible. If road infrastructures recognize the movements of special vehicles, and transfer alert message to traffic signal controllers and normal cars through wireless network such as WAVE or TPEG, normal cars can prepare to make way in advance. As a result, it help special vehicles move faster. In this paper, we install a roof mark on the roof of a special vehicle, detect the mark through a mark recognition algorithm which includes perspective transformation, and get the inner information by decoding the digital pattern on it. The experiment results show that mark can be recognized 100% and 93.3% of inner digital data of the mark can be recognized, when the size of a mark is larger than $88cm{\times}88cm$ and the mark moves at a speed of 50km/s.

• Journal of Science and Technology Studies
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• v.19 no.2
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• pp.85-116
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• 2019

This research examines the characteristics of the newly emerging 'transformative innovation policy' and discusses the current status and issues of the Korean social problem solving R & D policy. Transformative innovation policy is a new paradigm that aims to transform socio-technical systems to address societal challenges. In this study, we analyzed 'the policy plan for solving social problems based on science and technology'. In the "Policy Plan", efforts are being made to establish new direction of science and technological innovation activities such as emphasis on social values, network formation of innovation actors, and spreading of social impact. But in this "Policy Plan", the perspective of transformative innovation policy is weakly reflected. The Policy Plan refers to system improvement that adds new elements to existing system, but it is not discussing system transformation. In order to develop social problem solving R & D policy from the viewpoint of the transformative innovation policy, it is necessary to construct the innovation platform deliberating vision and prospect for the socio-technical transformation.

• Journal of the Daesoon Academy of Sciences
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• v.33
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• pp.1-30
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• 2019

There have been three trends in the study of the view of humanity in Daesoon Thought: insider theology, outsider theology, and religious studies. This article is intended to interpret the view of humanity in Daesoon Thought from the perspective of Mircea Eliade's New Humanism. We find similarities between Daesoon Thought and Eliade's New Humanism. Daesoon Thought deals with the complexities of life as being labyrinth-like and puts Jeungsan's view of humanity at the center of a Daesoon worldview. Jeungsan examines the existential problems which humans face in the Former World, and gives the religious remedies of Haewonsangsaeng (the resolution of grievances for mutual beneficence) and Boeunsangsaeng (the grateful reciprocation of favors for mutual beneficence) to transform humanity's worldview for usage in the Later World. Jeungsan suggests a way of peace instead of the revolution of Donghak. Through the Reordering Works of Heaven and Earth, Jeungsan changes the mutual contention of the Former World into the mutual beneficence of the Later World. The cosmology of Daesoon Thought recovers the relationship between divine beings and human beings in the three realms, and proposes a system of ethics that promotes virtue and reproves vices and human-centericism. In conclusion, the view of humanity in Daesoon Thought is an unapologetic view of homo-religiosus from within a new humanism.