• Journal of Information Processing Systems
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• v.17 no.6
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• pp.1138-1156
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• 2021

Emotional semantics are the highest level of semantics that can be extracted from an image. Constructing a system that can automatically recognize the emotional semantics from images will be significant for marketing, smart healthcare, and deep human-computer interaction. To understand the direction of image emotion recognition as well as the general research methods, we summarize the current development trends and shed light on potential future research. The primary contributions of this paper are as follows. We investigate the color, texture, shape and contour features used for emotional semantics extraction. We establish two models that map images into emotional space and introduce in detail the various processes in the image emotional semantic recognition framework. We also discuss important datasets and useful applications in the field such as garment image and image retrieval. We conclude with a brief discussion about future research trends.

• Electronics and Telecommunications Trends
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• v.37 no.5
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• pp.22-32
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• 2022

Optical character recognition is a primary technology required in different fields, including digitizing archival documents, industrial automation, automatic driving, video analytics, medicine, and financial institution, among others. It was created in 1928 using pattern matching, but with the advent of artificial intelligence, it has since evolved into a high-performance character recognition technology. Recently, methods for detecting curved text and characters existing in a complicated background are being studied. Additionally, deep learning models are being developed in a way to recognize texts in various orientations and resolutions, perspective distortion, illumination reflection and partially occluded text, complex font characters, and special characters and artistic text among others. This report reviews the recent deep learning-based text detection and recognition methods and their various applications.

• 중국학논총
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• no.67
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• pp.43-60
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• 2020

This paper explores the upper and lower contexts of the literature, and examines the meaning that the context intends to say and the era indicated by '古'. This not only helps to objectively and concretely recognize and interpret the "old" era, it can also be used to dig deeper into the meaning of the literature. In particular, such research is expected to play an even greater role in the literature that needs to clarify historical facts. '古' can be specified differently depending on the literature. In this paper, in particular, focusing on this point, in order to examine more closely how the periodic interpretation of '古' was done, the interpretation and usage examples of '古' were intensively examined. Notable items in the meaning of '古' are the meanings of beginning, ancestor, always, forever, and so on. In particular, in historical literature, the first beginning of civilization was viewed as 'old'. It is emphasized that the age of pay wages is viewed as the "old" at the base point.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.157-161
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• 2023

Reliability is one of the computable quality features of the software. To assess the reliability the software reliability growth models(SRGMS) are used at different test times based on statistical learning models. In all situations, Tradational time-based SRGMS may not be enough, and such models cannot recognize errors in small and medium sized applications.Numerous traditional reliability measures are used to test software errors during application development and testing. In the software testing and maintenance phase, however, new errors are taken into consideration in real time in order to decide the reliability estimate. In this article, we suggest using the Weibull model as a computational approach to eradicate the problem of software reliability modeling. In the suggested model, a new distribution model is suggested to improve the reliability estimation method. We compute the model developed and stabilize its efficiency with other popular software reliability growth models from the research publication. Our assessment results show that the proposed Model is worthier to S-shaped Yamada, Generalized Poisson, NHPP.

• Journal of Yeungnam Medical Science
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• v.40 no.1
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• pp.102-105
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• 2023

Symptomatic extravasation of irrigation fluid is a rare complication of hip arthroscopy. However, depending on the amount of fluid, intra-abdominal hypertension (IAH) may occur and even develop into abdominal compartment syndrome, which can seriously alter hemodynamic circulation. Therefore, it is important for anesthesiologists to promptly recognize the abnormal signs of IAH for early diagnosis and better clinical outcomes. Nevertheless, these signs are difficult to detect because they are usually obscured when the patient is under anesthesia and masked by surgical drapes. We report a case of IAH under general anesthesia during hip arthroscopy to highlight possible symptoms and signs.

• Journal of the military operations research society of Korea
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• v.25 no.1
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• pp.14-28
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• 1999

Statistical data have shown that most of aircraft accidents attributed to the spatial disorientation result from visually restricted environments such as a flight amid clouds or a night flight, in particular during roll maneuvering. This study investigates the time necessary for a flighting pilot to recognize a sloped status as a horizontal status on the condition that the roll maneuver is operating when the visual sense is blocked In this study, aspects which affect such disorientation phenomena are examined. The result of this study shows that a pilot is rushed into a somatogyral illusion when a certain time elapses with visual sense blocked, and that as a speed of the flight increases and a bank of aircraft decreases, so a rushing time increases rapidly.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.549-550
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• 2021

This paper, we propose a multi-population differential evolutionary algorithm using MUDE (Uniform Local Search) to recognize various mutation strategies. In MUDE, a population is divided into several subpopulations with different population sizes that perform different mutation strategies according to evolutionary ratios (DE/rand/1 and DE/current-to-rand/1). To improve population diversity, information is migrated between subpopulations by a soft island model.

• Journal of the Korean Society of Safety
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• v.14 no.2
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• pp.192-199
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• 1999

We propose a rotation invariant fingerprint identification system based on the circular harmonic filter(CHF) and binary phase extraction joint transform correlator(BPEJTC) for validation and security verification. It is shown that this system has the shift and rotation robust properties and can recognize the fingerprint in real-time. The complex circular harmonic filter, which is used to obtain the rotation invariance, is converted into the real-valued filter for real-time implementation. Experimental results show that this system has a good performance in the rotated fingerprints.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.163-168
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• 2024

Technologies that are considered to be a part of the fourth industrial revolution include holograms, augmented reality, and virtual reality. As technology advances, the industry's scale is growing quickly as well. While the development of technology for direct use is moving slowly, awareness of floating holograms-which are considered realistic content-is growing as the industry's scale and rate of technological advancement continue to accelerate. Specifically, holograms that have been incorporated into museums and exhibition spaces are static forms of content that viewers gaze at inertly. Additionally, their use in educational fields is very passive and has a low rate of utilization. Therefore, in order to improve usability from the viewpoint of viewers of realistic content, such as exhibition halls or museums, we introduce realistic content control technology in this study using a machine learning framework to recognize hands. It is anticipated that using the study's findings, manipulating realistic content independently will enhance comprehension of objects presented as realistic content and boost its applicability in the industrial and educational domains.

• Advances in concrete construction
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• v.16 no.2
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• pp.97-106
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• 2023

This research endeavors to explore the enhancement of workforce economic efficiency through the application of nanotechnology, focusing on its economic implications. The findings of this investigation reveal that in recent years, surging global population growth and escalating demands for products and services have led to excessive resource consumption, resulting in adverse environmental consequences and altering environmental conditions-a phenomenon referred to as the economic growth dilemma. Entrepreneurs and economic stakeholders have begun to recognize the importance of sustainable development and the integration of environmental considerations into the production of goods and services. Within this context, knowledge-based economies have emerged as a driving force for sustainable business practices, particularly in the realm of nanotechnology. The integration of nanotechnology across various industries, including pharmaceuticals, agriculture, environmental management, and the chemical and petroleum sectors, as well as energy distribution, has yielded remarkable results. Consequently, this research aims to investigate the application and integration of nanotechnology in environmentally friendly silver nanoparticle production within select industries. Subsequently, it will examine the far-reaching implications of nanotechnology on economic growth and sustainable development.