• Journal of Information Technology and Architecture
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• v.9 no.2
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• pp.177-186
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• 2012

Navy establishes the Naval Task Forces (TF) for many kinds of maritime operations. Then the TF in the maritime environment performs simultaneous component operations such as ASUW (Anti-Surface Warfare), ASW (Anti-Submarine Warfare), AAW (Anti-Aircraft Warfare), and assault operations. The TF consists of many tactical systems for the completion of missions C4I, VOIP (Voice Over Internet Protocol), DMHS (Digital Massage Handling System), and TDLs (Tactical Data Links) such as LINK-11, 16, ISDL (Inter Site Data Link). When the TF executes naval operations to complete a mission, we are interested in the kill chain for the maritime operations in the TF. The kill chain is a standard procedure for the naval operations to crush enemy defenses. Although each ship has a procedure about a manual for 'how to fight', it leave something to be desired for the TF detailed kill chain currently. Therefore, in this paper, we propose the naval TF's kill chain to perform the naval operations. Then, the operational effectiveness of the TF in the kill chain environment is determined through operation scenarios of TDL system implementation. It is to see the operational information sharing effect to a data link model based on MND-AF OV 6c (statement of tracking operational status) in the maritime operations applied to TDL and is to identify improvements in information dissemination process. We made the kill chain of maritime TF for the effective naval operations.

• Journal of the Society of Naval Architects of Korea
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• v.39 no.3
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• pp.57-63
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• 2002

This paper describes a control algorithm for the buffer of a deep-sea mining system, in which the buffer is connected to a long slender pipe and then to a surface ship on one end, and to a collector on sea floor through a flexible hose on the other end. A mathematical modeling is established for designing the controller for buffer thrusters, in which the dynamic response of the long pipe is taken into account based on the mode superposition method. The fluid loading acting on the pipe is estimated by using Morison's formula. For simplicity, the surface ship is assumed to be kept stationary, the reaction from the flexible hose is ignored and only the lateral motions are considered. In order to guide the buffer to react only to the low-frequency motion of the surface vessel, the FIR digital filter is introduced to a PID-based controller It can be shown numerically that the high frequency component of the ship's motion can be effectively filtered out by using the FIR low pass filter.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.40 no.9
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• pp.835-842
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• 2016

In Korea, urban railway cars are typically maintained using the strategy of predictive maintenance. In an effort to overcome the limitations of the existing strategy, there is increased interest in adopting the condition-based maintenance strategy. In this study, a novel method is proposed to detect faults in the solenoid valves of the braking system in urban railway vehicles. We determined the key component (i.e., solenoid valve) that leads to braking system faults through the analysis of failure modes, effects, and criticality. Then, an equivalent circuit model was developed with the compensation of the temperature effect on solenoid coils. Finally, we presented how to detect faults with the equivalent circuit model and current signal measurements. To demonstrate the performance of the proposed method, we conducted a case study using real solenoid valves taken from urban railway vehicles. In summary, it was shown that the proposed method can be effective to detect faults in solenoid valves. We anticipate the outcome from this study can help secure the safety and reliability of urban railway vehicles.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.47 no.4
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• pp.305-316
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• 2021

This study relates to the development of a new gel sheet mask that finally does not require support based on the reactivity and acid/base reaction experiments of Tamarindus indica seed gum (TG), ethanol, and polyols. When TG and a specific alcohol was mixed at a certain mixing ratio, a transparent gel is formed by reaction with each component, and thus a gel sheet mask without support might be obtained using the mixture. In order to maximize skin tone improvement, a carbonation system of acid and base reactions was introduced, and skin brightness and moisturizing power were evaluated using a spectrophotometer and a moisture measuring device. Through this study, it is expected that the gelation reaction by hydrogen bonding of TG, ethanol, and polyols can be developed into various types, and the gel sheet mask formulation introduced in this study is expected to help develop new products in the future.

• Clean Technology
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• v.28 no.3
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• pp.232-237
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• 2022

Biorefineries, in which renewable resources are utilized, are an eco-friendly alternative based on biomass feedstocks. Alginic acid, a major component of brown algae, which is a type of marine biomass, is widely used in various industries and can be converted into value-added chemicals such as sugars, sugar alcohols, furans, and organic acids via catalytic hydrothermal decomposition under certain conditions. In this study, ruthenium-supported activated carbon and magnesium oxide were mixed and applied to the depolymerization of alginic acid in a batch reactor. The addition of magnesium oxide as a basic promoter had a strong influence on product distribution. In this heterogeneous catalytic system, the separation and purification processes are also simplified. After the reaction, low molecular weight alcohols and organic acids with 5 or fewer carbons were produced. Specifically, under the optimal reaction conditions of 30 mL of 1 wt% alginic acid aqueous solution, 100 mg of ruthenium-supported activated carbon, 100 mg of magnesium oxide, 210 ℃ of reaction temperature, and 1 h of reaction time, total carbon yields of 29.8% for alcohols and 43.8% for a liquid product were obtained. Hence, it is suggested that this catalytic system results in the enhanced hydrogenolysis of alginic acid to value-added chemicals.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.517-524
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• 2024

This study aims to train and implement a deep learning model for the fusion of website creation and artificial intelligence, in the era known as the AI revolution following the launch of the ChatGPT service. The deep learning model was trained using 3,000 collected web page images, processed based on a system of component and layout classification. This process was divided into three stages. First, prior research on AI models was reviewed to select the most appropriate algorithm for the model we intended to implement. Second, suitable web page and paragraph images were collected, categorized, and processed. Third, the deep learning model was trained, and a serving interface was integrated to verify the actual outcomes of the model. This implemented model will be used to detect multiple paragraphs on a web page, analyzing the number of lines, elements, and features in each paragraph, and deriving meaningful data based on the classification system. This process is expected to evolve, enabling more precise analysis of web pages. Furthermore, it is anticipated that the development of precise analysis techniques will lay the groundwork for research into AI's capability to automatically generate perfect web pages.

• Journal of Internet of Things and Convergence
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• v.10 no.4
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• pp.101-108
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• 2024

Indoor localization is a critical component for numerous applications, ranging from navigation in large buildings to emergency response. This paper presents an enhanced Pedestrian Dead Reckoning (PDR) scheme using smartphone sensors, integrating neural network-aided motion recognition, Kalman filter-based error correction, and multi-sensor data fusion. The proposed system leverages data from the accelerometer, magnetometer, gyroscope, and barometer to accurately estimate a user's position and orientation. A neural network processes sensor data to classify motion modes and provide real-time adjustments to stride length and heading calculations. The Kalman filter further refines these estimates, reducing cumulative errors and drift. Experimental results, collected using a smartphone across various floors of University, demonstrate the scheme's ability to accurately track vertical movements and changes in heading direction. Comparative analyses show that the proposed CNN-LSTM model outperforms conventional CNN and Deep CNN models in angle prediction. Additionally, the integration of barometric pressure data enables precise floor level detection, enhancing the system's robustness in multi-story environments. Proposed comprehensive approach significantly improves the accuracy and reliability of indoor localization, making it viable for real-world applications.

• Journal of Korean Academy of Nursing
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• v.20 no.3
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• pp.430-458
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• 1990

Care is a central concept of nursing. Nursing would not exist without caring. Care and quality of life are closely related. Human behavior is a manifestation of culture. We can say that caring and nursing care are expression of culture. The nurse must understand the relationship of culture with care for ensure quality nursing care. But knowledge of cultural factors in nursing is not well developed. Time and in - depth study are needed to find meaningful relationships between culture and care. Nurses recognized the importance of culturally appropriate nursing There are two care systems in culturally based nursing. The folk care system and the professional nursing care system. The folk care system existed long before the professional nursing care system was introduced into this culture. If the discrepancy between these two care systems is great, the client may receive inappropriate nursing care. Culture and subcaltures are diverse and dynamic in nature. Nurses need to know the caring behaviors, patterns, and their meaning in their own culture. In Korea we have taken some first step to study cultural nursing phenomena. It is not our intent necessarily to return to the past and develop a nationalistic of nursing, but to identify the core of traditional caring and relate that to professional nursing care. Our Assumptions are as follows : 1) Care is essential for human growth, well being and survial. 2) 7here are diverse and universal forma, expressions, patterns, and processes of human care that exist transcul - turally. 3) The behaviors and functions of caring differ according to the social structure of each culture. 4) Cultures have folk and professional care values, beliefs, and practices. To promote the quality of nursing care we must understand the folk care value, beliefs, and practices. We undertook this study to understand caring in our traditional culture. The Goals of this study were as follows : 1) To identify patterns in caring behavior, 2) To identify the structural components of caring, and 3) To understand the meaning and some principles of caring. We faised several questions in this study. Who is the care-giver? Who is the care-receipient? Was the woman the major care -giver at any time? What are the patterns in caring behavior? What art the priciples underlying the caring process? We used an interdisciplinary team approach, composed of representatives from nursing and anthropology, to contribute in -depth understanding of caring through a socicaltural perspeetive. A Field study was conducted in Ro-Bong, a small agricultural kinship village. The subjects were nine women and one man aged be or more years of age. Data were collected from january 15 to 21, 1990 through opem-ended in-depth interviews and observations. The interview focused on caring behaviors sorrounding birth, aging, death and child rearing. We analysed these data for meaning, pattern and priciples of caring. In this report we describe caring behaviors surrounding childbirth. The care-givers were primarily mothers- in -low, other women in the family older than the mother - to- be, older neighbor woman, husbands, and mothers of the mother-to- be. The care receivers were the mother-to-be the baby, and the immediate family as a component of kinship. Emerging caring behavior included praying, helping proscribing, giving moral advice(Deug - Dam), showing concern, instructing, protecting, making preparations, showing consideration, touching, trusting, encouraging, giving emotional comfort, being with, worrying about, being patient, preventing problems, showing by an example, looking after bringing up, taking care of postnatal health, streng thening the health condition, entering into another's feelings(empathizing), and sharing food, joy and sorrow The emerging caring component were affection, touching, nurtuing, teaching, praying, comforting, encouraging, sharing. empathizing, self - discipline, protecting, preparing, helping and compassion. Emerging principles of. caring were solidarity, heir- archzeal relationships, sex - role distinction. Caring during birth expresses the valve of life and reflects the valued traditional beliefs that human birth is given by god and a unique unifying family event reaching back to include the ancestors and foreward to later generations. In addition, We found positive and rational foundations for traditionl caring behaviors surrounding birth, these should not be stigmatized as inational or superstitious. The nurse appropriately adopts the rational and positive nature of traditional caring behaviors to promote the quality of nursing care.

• Journal of Intelligence and Information Systems
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• v.25 no.4
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• pp.53-65
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• 2019

Object tracking is one of important steps to achieve video-based surveillance systems. Object tracking is considered as an essential task similar to object detection and recognition. In order to perform object tracking, various machine learning methods (e.g., least-squares, perceptron and support vector machine) can be applied for different designs of tracking systems. In general, generative methods (e.g., principal component analysis) were utilized due to its simplicity and effectiveness. However, the generative methods were only focused on modeling the target object. Due to this limitation, discriminative methods (e.g., binary classification) were adopted to distinguish the target object and the background. Among the machine learning methods for binary classification, total error rate minimization can be used as one of successful machine learning methods for binary classification. The total error rate minimization can achieve a global minimum due to a quadratic approximation to a step function while other methods (e.g., support vector machine) seek local minima using nonlinear functions (e.g., hinge loss function). Due to this quadratic approximation, the total error rate minimization could obtain appropriate properties in solving optimization problems for binary classification. However, this total error rate minimization was based on a batch mode setting. The batch mode setting can be limited to several applications under offline learning. Due to limited computing resources, offline learning could not handle large scale data sets. Compared to offline learning, online learning can update its solution without storing all training samples in learning process. Due to increment of large scale data sets, online learning becomes one of essential properties for various applications. Since object tracking needs to handle data samples in real time, online learning based total error rate minimization methods are necessary to efficiently address object tracking problems. Due to the need of the online learning, an online learning based total error rate minimization method was developed. However, an approximately reweighted technique was developed. Although the approximation technique is utilized, this online version of the total error rate minimization could achieve good performances in biometric applications. However, this method is assumed that the total error rate minimization can be asymptotically achieved when only the number of training samples is infinite. Although there is the assumption to achieve the total error rate minimization, the approximation issue can continuously accumulate learning errors according to increment of training samples. Due to this reason, the approximated online learning solution can then lead a wrong solution. The wrong solution can make significant errors when it is applied to surveillance systems. In this paper, we propose an exactly reweighted technique to recursively update the solution of the total error rate minimization in online learning manner. Compared to the approximately reweighted online total error rate minimization, an exactly reweighted online total error rate minimization is achieved. The proposed exact online learning method based on the total error rate minimization is then applied to object tracking problems. In our object tracking system, particle filtering is adopted. In particle filtering, our observation model is consisted of both generative and discriminative methods to leverage the advantages between generative and discriminative properties. In our experiments, our proposed object tracking system achieves promising performances on 8 public video sequences over competing object tracking systems. The paired t-test is also reported to evaluate its quality of the results. Our proposed online learning method can be extended under the deep learning architecture which can cover the shallow and deep networks. Moreover, online learning methods, that need the exact reweighting process, can use our proposed reweighting technique. In addition to object tracking, the proposed online learning method can be easily applied to object detection and recognition. Therefore, our proposed methods can contribute to online learning community and object tracking, detection and recognition communities.

• Journal of Ginseng Research
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• v.27 no.3
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• pp.120-128
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• 2003

Alternative medicines such as herbal products are increasingly being used for preventive and therapeutic purposes. Ginseng is the best known and most popular herbal medicine used worldwide. In spite of some beneficial effects of ginseng on the nervous system, little scientific evidence shows at the cellular level. In the present study, I have examined the direct modulation of ginseng total saponins and individual ginsenosides on the activation of $Ca^{2+}$ channels and NMDA-gated channels in cultured rat dorsal root ganglion (DRG) and hippocampal neurons, respectively. In DRG neurons, application of ginseng total saponins suppressed high-voltage-activated $Ca^{2+}$ channel currents and ginsenoside Rg$_3$, among the 11 ginsenosides tested, produced the strongest inhibition on $Ca^{2+}$ channel currents. Occlusion experiments using selective $Ca^{2+}$ channel blockers revealed that ginsenoside Rg$_3$ could modulate L-, N-, and P/Q-type currents. In addition, ginsenoside Rg$_3$ also proved to be an active component of ginseng actions on NMDA receptors in cultured hippocampal neurons. Application of ginsenoside Rg$_3$ suppressed NMDA-induced [Ca$^{2+}$]$_{i}$ increase and -gated channels using fura-2-based digital imaging and patch-clamp techniques, respectively. These results suggest that the modulation of $Ca^{2+}$ channels and NMDA receptors by ginsenoside Rg$_3$ could be part of the pharmacological basis of ginseng actions in the peripheral and central nervous systems.ous systems.