• Journal of Korean Neurosurgical Society
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• v.66 no.5
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• pp.598-604
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• 2023

Penetrating head injury is a serious open cranial injury. In civilians, it is often caused by non-missile, low velocity flying objects that penetrate the skull through a weak cranial structure, forming intracranial foreign bodies. The intracranial foreign body can be displaced due to its special quality, shape, and location. In this paper, we report a rare case of right-to-left displacement of an airgun lead bullet after transorbital entry into the skull complicated by posttraumatic epilepsy, as a reminder to colleagues that intracranial metal foreign bodies maybe displaced intraoperatively. In addition, we have found that the presence of intracranial metallic foreign bodies may be a factor for the posttraumatic epilepsy, and their timely removal appears to be beneficial for epilepsy control.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.11-14
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• 2020

The importance of data in the development of deep learning is very high. Data with high morphological features are usually utilized in the domains where careful lens calibrations are needed by a human to capture those data. Synthesis of high morphological data for that domain can be a great asset to improve the classification accuracy of systems in the field. Unsupervised learning can be employed for this task. Generating photo-realistic objects of interest has been massively studied after Generative Adversarial Network (GAN) was introduced. In this paper, we propose Morpho-GAN, a method that unifies several GAN techniques to generate quality data of high morphology. Our method introduces a new suitable training objective in the discriminator of GAN to synthesize images that follow the distribution of the original dataset. The results demonstrate that the proposed method can generate plausible data as good as other modern baseline models while taking a less complex during training.

• ETRI Journal
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• v.45 no.6
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• pp.963-973
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• 2023

Non-orthogonal multiple access (NOMA) is considered a key candidate technology for next-generation wireless communication systems due to its high spectral efficiency and massive connectivity. Incorporating the concepts of multiple-input-multiple-output (MIMO) into NOMA can further improve the system efficiency, but the hardware complexity increases. This study develops an energy-efficient (EE) subchannel assignment framework for MIMO-NOMA systems under the quality-of-service and interference constraints. This framework handles an energy-efficient co-training-based semi-supervised learning (EE-CSL) algorithm, which utilizes a small portion of existing labeled data generated by numerical iterative algorithms for training. To improve the learning performance of the proposed EE-CSL, initial assignment is performed by a many-to-one matching (MOM) algorithm. The MOM algorithm helps achieve a low complex solution. Simulation results illustrate that a lower computational complexity of the EE-CSL algorithm helps significantly minimize the energy consumption in a network. Furthermore, the sum rate of NOMA outperforms conventional orthogonal multiple access.

• Advances in nano research
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• v.16 no.2
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• pp.155-164
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• 2024

The rapid evolution of intelligent sports equipment and gadgets has led to the transformation of smartphones into personalized coaching devices. This transformative role is central in today's technologically advanced landscape, addressing the needs of individuals with contemporary lifestyles. The development of intelligent sports gadgets is geared towards elevating overall quality of life by facilitating sports activities, workouts, and promoting health preservation. This categorization yields two primary types of devices: smart sports devices for exercise and smart health control devices, which encompass functionalities such as blood pressure monitoring and muscle volume measurement. Illustrative examples include smart headbands, smart socks, smart wristbands, and smart shoe soles. Significantly, the global market for smart sports devices has garnered substantial popularity among enthusiasts. Moreover, the integration of sensors within these devices has instigated a revolution in group and professional sports, facilitating the calculation of impact intensity and ball speed. The utilization of various types of smart sports equipment has proliferated, encompassing applications in both sports' performance and health monitoring across diverse demographics. This article conducts an assessment of the application of nanotechnology in the continuous modeling of the magnetic electromechanical sensor integrated within smart shoe soles, with a specific emphasis on its implementation in soccer training. The exploration delves into the nuanced intersection of nanotechnology and sports equipment, elucidating the intricate mechanisms that underlie the transformative impact of these advancements.

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.789-816
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• 2019

Text classification is a challenging task, especially when dealing with a huge amount of text data. The performance of a classification model can be varied depending on what type of words contained in the document corpus and what type of features generated for classification. Aside from proposing a new modified version of the existing algorithm or creating a new algorithm, we attempt to modify the use of data. The classifier performance is usually affected by the quality of learning data as the classifier is built based on these training data. We assume that the data from different domains might have different characteristics of noise, which can be utilized in the process of learning the classifier. Therefore, we attempt to enhance the robustness of the classifier by injecting the heterogeneous data artificially into the learning process in order to improve the classification accuracy. Semi-supervised approach was applied for utilizing the heterogeneous data in the process of learning the document classifier. However, the performance of document classifier might be degraded by the unlabeled data. Therefore, we further proposed an algorithm to extract only the documents that contribute to the accuracy improvement of the classifier.

• Physical Therapy Rehabilitation Science
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• v.13 no.2
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• pp.196-204
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• 2024

Objective: Cortical Visual Impairment (CVI) is a leading cause of pediatric blindness and the most common form of pediatric visual disability, particularly prevalent among children with cerebral palsy (CP). This systematic review synthesizes the latest research on various interventions for managing CVI, focusing on studies published in the last decade. Design: A systematic review Methods: A comprehensive search was conducted in March 2024 across several databases including MEDLINE, CINAHL, Embase, and Web of Science. Studies were selected based on inclusion criteria set under the PICOSD framework and were limited to those involving human subjects, published in English, and conducted within the past ten years. The selected studies included randomized controlled trials, observational studies, and case reports focusing on rehabilitation, therapy, and surgical interventions for CVI. Results: Out of 221 studies screened, 5 met the inclusion criteria and were reviewed in detail. These studies covered a range of interventions including physiotherapy, sensory integration training, visual training programs, neuromotor rehabilitation, and surgical procedures aimed at improving visual function and overall quality of life for CVI patients. Conclusions: The studies demonstrate the potential benefits of structured, early intervention programs that incorporate family involvement and are tailored to the unique needs of children with CVI. However, there remains a significant need for further research to establish evidence-based practices in this field.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.8
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• pp.2199-2213
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• 2024

To enhance the quality of defect detection for Printed Circuit Board Assembly (PCBA) during electronic product manufacturing, this study primarily focuses on optimizing the YOLOv7-based method for PCBA defect detection. In this method, the Mish, a smoother function, replaces the Leaky ReLU activation function of YOLOv7, effectively expanding the network's information processing capabilities. Concurrently, a Squeeze-and-Excitation attention mechanism (SEAM) has been integrated into the head of the model, significantly augmenting the precision of small target defect detection. Additionally, considering angular loss, compared to the CIoU loss function in YOLOv7, the SIoU loss function in the paper enhances robustness and training speed and optimizes inference accuracy. In terms of data preprocessing, this study has devised a brightness adjustment data enhancement technique based on split-filtering to enrich the dataset while minimizing the impact of noise and lighting on images. The experimental results under identical training conditions demonstrate that our model exhibits a 9.9% increase in mAP value and an FPS increase to 164 compared to the YOLOv7. These indicate that the method proposed has a superior performance in PCBA defect detection and has a specific application value.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.35 no.3
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• pp.192-196
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• 2024

Objectives: Borderline intelligence has been excluded from formal diagnostic systems and not included in disability diagnoses, leaving gaps in treatment, education, and social welfare despite various functional impairments. Therefore, we aimed to shed light on ways to enhance the intelligence and functioning of individuals with borderline intelligence by reviewing research on its progression, education, and treatment. Methods: Ten studies that met the inclusion and exclusion criteria were included in the final literature review and analyzed according to detailed topics (participant characteristics, design, and results). Results: Borderline intelligence is associated with various comorbid conditions, such as anxiety, depression, attention deficit/hyperactivity disorder, and addictive disorders, which negatively impact its course and prognosis. Individuals with borderline intelligence often face challenges in academics, employment, interpersonal relationships, and health owing to lifelong cognitive impairments. The treatment of borderline intelligence necessitates addressing environmental factors, such as neglect and abuse, as well as treating comorbid mental disorders, which are crucial for prognosis. Tailoring treatment programs for cognitive profile characteristics have been proposed, and studies have reported the effectiveness of pharmacotherapy, working memory training, and intensive rehabilitation training. Therefore, early intervention during childhood brain development is necessary. Risk factors, such as lack of parental education, and their impact on treatment outcomes have also been reported. Conclusion: Extensive research is needed on education, treatment, and prognosis related to borderline intelligence. Active intervention for children with borderline intelligence is essential to improve their functioning and quality of life.

• Journal of Korean Society on Water Environment
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• v.35 no.6
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• pp.589-597
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• 2019

The purpose of this study was improve accuracy the IOPs inversion model(IOPs-IM) developed in 2016 for phycocyanin(PC) concentration estimation in the Nakdong River. Additionally, two optimum models were developed and evaluated with 2017 measurement field spectral data for the Geum River and the Yeongsan River. The used measurement data for IOPs-IM analyzation was randomly classified as training and verification materials at the ratio of 2:1 in all data sets. Using the training data set from 2015-2017, accuracy results of the IOPs-IM generally improved for the Nakdong River. The RMSE(Root Mean Square Error) decreased by 14 % compared to 2016. For the GeumRiver, the results of the IOPs-IM were suitable, except for some point results in 2016. Results of the IOPs-IM in the Yeongsan River followed the overall 1:1 line and MAE(Mean Absolute Error) was lower than other rivers. But the RMSE and MAE values were higher. As a result of applying the validation data to the IOPs-IM, the accuracy of the Nakdong River was reduced to RMSE 17.7 % and MRE 16.4 %, respectively compared with 2016. However, the MRE(Mean Relative Error) was estimated to be higher by 400 % in the Geum River, and the RMSE was more than 100 mg/㎥ of the Yeongsan River. Therefore, it is necessary to get the continuously data with various sections of each river for obtain objective and reliable results and the models should be improved.

• Quality Improvement in Health Care
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• v.6 no.1_2
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• pp.92-106
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• 1999

Background : In many university hospitals, intravenous(IV) therapies and samplings had been one of the most important works of doctors who are in training. However, recently as patient oriented care is becoming more weighted for qualified health service IV therapies should be the works of specialized personnels. This study was conducted to investigate the medical staff's perception on IV team, to survey patient or parent's expectation on IV team, and to assess the frequency of IV therapy related complications and the characteristics of phlebitis among the hospitalized children. Methods : We collected data prospectively before the start of IV team from February 22 to February 29. 1999 and from September 27 to October 3, 1999, 6 months after beginning of IV team at Seoul National University Children's Hospital. IV team started their activities from March 1, 1999. General pediatric wards were not included for the IV and sampling team and oncology ward and surgical units were all included for the IV and sampling team's work. IV specialist was the well trained nurse who had been working in the field of pediatrics especially for the oncology patients. The subjects of this study were medical staffs who were working in children's hospital as doctors in training and patients who were treated with IV therapies in children's hospital during the same period. Results : Doctors responded that IV team need to be organized for IV care and expected IV team could reduce their work load. Parents of patients also responded IV team was very improtant to perform high quality IV care. They had willingness to pay extra charge for IV team care. In the wards where IV team did not work, they used various kinds and sizes of catheters, but in the wards where IV team worked, they needed just one or two types of catheters. As the exact role of IV team is not still established, job description is needed between the IV team and medical doctors. In the aspects of medical costs. it could save the materials for the IV also. Conclusion : This study showed that IV team could increase patient's satisfaction with decrease of medical doctors work load and concomitantly could save the costs of IV materials. And for the expansion of the IV team, job description is needed and for the total care of the children IV specialist and sampling team should expand their roles.