• Journal of Forest and Environmental Science
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• v.27 no.2
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• pp.73-79
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• 2011

The Barind tract is threatened by desertification and undergoing rapid change. In view of this fact it is very much essential to manage this barind tract under proper land-use plan. The present study evaluates the effectiveness of high-resolution satellite data and computer aided GIS techniques in assessing land-use change detection for the period 1990 to 2007 within the study area, which is very much essential to manage this barind tract under proper land-use plan, and for proper land-use plan it is necessary to get reliable information. The present study found five major land-use such as current fallow, current agriculture, settlement, irrigation water and water bodies. From the result, it is found that current fallow and water bodies decrease while settlement and current agriculture increase. Study concludes that as Barind tract is threatened by desertification, decrease of water bodies is not a good sign for the study area.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.1
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• pp.11-20
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• 2019

This study dealt with the tensile strength characteristics of stainless steel 304L steel by hydrogen charging. Especially, the effect of hydrogen charging time on the tensile strength and ductility of 304L stainless steels was evaluated, in conjunction with the observation of their fracture surfaces. The tensile properties of hydrogen-charged 304L stainless steels were also investigated with the variation of tensile loading speeds. The hydrogen amount of 304L stainless steels obviously increased with the increase of hydrogen charging time. The tensile properties of 304L stainless steels were clearly affected by the short term charging of hydrogen. In particular, the elongation of 304L stainless steels decreased with increasing hydrogen charging time, due to the hydrogen embrittlement. It was also found that the tensile properties of hydrogen-charged 304L stainless steels were very sensitive to the crosshead speed for tensile loading.

• Journal of Multimedia Information System
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• v.9 no.1
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• pp.21-32
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• 2022

Early-stage diagnosis of Alzheimer's Disease (AD) from Cognitively Normal (CN) patients is crucial because treatment at an early stage of AD can prevent further progress in the AD's severity in the future. Recently, computer-aided diagnosis using magnetic resonance image (MRI) has shown better performance in the classification of AD. However, these methods use a traditional machine learning algorithm that requires supervision and uses a combination of many complicated processes. In recent research, the performance of deep neural networks has outperformed the traditional machine learning algorithms. The ability to learn from the data and extract features on its own makes the neural networks less prone to errors. In this paper, a dense neural network is designed for binary classification of Alzheimer's disease. To create a classifier with better results, we studied result of different activation functions in the prediction. We obtained results from 5-folds validations with combinations of different activation functions and compared with each other, and the one with the best validation score is used to classify the test data. In this experiment, features used to train the model are obtained from the ADNI database after processing them using FreeSurfer software. For 5-folds validation, two groups: AD and CN are classified. The proposed DNN obtained better accuracy than the traditional machine learning algorithms and the compared previous studies for AD vs. CN, AD vs. Mild Cognitive Impairment (MCI), and MCI vs. CN classifications, respectively. This neural network is robust and better.

• Current Optics and Photonics
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• v.5 no.6
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• pp.699-710
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• 2021

In this study, we propose a biomimetic optical structure design methodology for investigating micro-optical mechanisms associated with the compound eyes of insects. With these compound eyes, insects can respond fast while maintaining a wide field of view. Also, considerable research attention has been focused on the insect compound eyes to utilize these benefits. However, their nano micro-structures are complex and challenging to demonstrate in real applications. An effectively integrated design methodology is required considering the manufacturing difficulty. We show that photorealistic ray-traced visualization is an effective method for designing the biomimetic of a micro-compound eye of an insect. We analyze the image formation mechanism and create a three-dimensional computer-aided design model. Then, a ray-trace visualization is applied to observe the optical image formation. Finally, the segmented images are stitched together to generate an image with a wide-angle; the image is assessed for quality. The high structural similarity index (SSIM) value (approximately 0.84 to 0.89) of the stitched image proves that the proposed MATLAB-based image stitching algorithm performs effectively and comparably to the commercial software. The results may be employed for the understanding, researching, and design of advanced optical systems based on biological eyes and for other industrial applications.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.5
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• pp.42-52
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• 1997

Computer aided process planning and Offline programming are decisive factors in successful implementation of automated robotic production. However, conventional offline programming procedure has proven ineffective due to time-consuming teaching process for robot programming and due to inefficient system modeling. The paper presents an efficient procedure to semi-automatically generate robot job programs for ship block welding applications. In the research, the teaching positions are automatically determined by predefined rules which are functions of the type and the dimensions of the given welding section of ship block. And a sequence of robot movements and welding conditions such as welding type, welding current, welding speed, and welding torch orientation, are determined by use of Standard Program which is experimentally proved to work well for the welding wection group. Finally, a robot program for the welding section is generated automatically. Based on the algorithm, a offline automatic teaching software is developed. The paper presents also the algorithm and structure of the software.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.4D
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• pp.413-421
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• 2010

Scheduling management is one of the most important factors for the efficient performance of construction projects. Various computer-aided solutions for schedule management have been developed, but they are not commonly used in practice. This study conducted surveys on scheduling management methods and the related solutions to identify their status and problems in practice. Based on the results of the surveys, this study also developed a scheduling assistant program to improve the usability of scheduling management solutions. Through the developed program, the usability of scheduling management solutions will be improved in practice, thus enabling efficient scheduling management.

• Clinical Endoscopy
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• v.56 no.5
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• pp.553-562
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• 2023

Colonoscopy plays an important role in reducing the incidence and mortality of colorectal cancer by detecting adenomas and other precancerous lesions. Image-enhanced endoscopy (IEE) increases lesion visibility by enhancing the microstructure, blood vessels, and mucosal surface color, resulting in the detection of colorectal lesions. In recent years, various IEE techniques have been used in clinical practice, each with its unique characteristics. Numerous studies have reported the effectiveness of IEE in the detection of colorectal lesions. IEEs can be divided into two broad categories according to the nature of the image: images constructed using narrow-band wavelength light, such as narrow-band imaging and blue laser imaging/blue light imaging, or color images based on white light, such as linked color imaging, texture and color enhancement imaging, and i-scan. Conversely, artificial intelligence (AI) systems, such as computer-aided diagnosis systems, have recently been developed to assist endoscopists in detecting colorectal lesions during colonoscopy. To gain a better understanding of the features of each IEE, this review presents the effectiveness of each type of IEE and their combination with AI for colorectal lesion detection by referencing the latest research data.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.44 no.12
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• pp.7-11
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• 2007

In this paper, we proposed the dual-mode stepped impedance ring resonator bandpass filter for MMIC (Microwave Monolithic Integrated Circuit) applications using the dielectric-supported air-gapped microstrip line (DAML). The ring resonator fabricated by surface micromachining technology. This filter consists of a DAML resonator layer and a CPW feed line. The DAML ring resonator is elevated with $10{\mu}m$ height from GaAs substrate surface. This bandpass filter is $1-{\lambda}g$ type stepped impedance ring resonator including dual-mode resonance. From the measurements, we obtained attenuation of over 15 dB and insertion loss of 2.65 dB at the center frequency of 97 GHz. Relative bandwidth is about 12 % at 97 GHz. Furthermore, the proposed bandpass filter is useful to integrate with conventional MMICs.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.5
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• pp.2507-2511
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• 2016

Purpose: To study the diagnostic accuracies of serum human epididymis protein 4 (HE-4) levels, virtual organ computer-aided analysis (VOCAL) parameters and endometrial volume in endometrial cancer cases. Materials and Methods: One hundred and seven patients (37 with endometrial cancer and 70 with benign endometrial pathology) were included in this study. VOCAL parameters and serum HE-4 levels were compared between the groups. Results: Area under the curve (AUC) values were 0.702, 0.658, 0.706 for vascularization index (VI), the flow index (FI) and the vascularization flow index (VFI), respectively. A cut off value of 0.568 for VI demonstrated 70% sensitivity, 72% specificity, 56% positive predictive value (PPV) and a81% negative predictive value (NPV). A cut off value of 25.8 for showed a senitivith of 70% and a specificity of 58% with aPPV of 46% and NPV of 78%, and with a cut off value of 0.12 for VFI 70%, 69%, 54% and 81%, respectively. The area under the curve for HE-4 was 0.814. A cut off value of 458 pmol/L was predictive of malignancy with 86% sensitivity and 63% specificity. Conclusions: VOCAL parameters and serum HE-4 levels were statistically significantly higher in the endometrial cancer patients. Serum HE-4 levels provided a greater sensitivity compared to power doppler angiography for predicting malignancy or benign endometrial pathology.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.38 no.8
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• pp.657-663
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• 2014

Since 2007, the defect confirmation test for vehicles using PEMS has been enforced in USA. This test can measure emissions from on-street vehicles using a device mounted on a car. Europe has confirmed its plan for introducing this test from EURO6, 2013. Thus, the Korean government is also under pressure to adopt this method that reflects the real-world driving conditions using PEMS, considering the emission controls for domestic heavy-duty vehicles. To provide various utilizations of the PEM, this emission test has been developed in accordance with the type of driving road, DPF, ISG, and air conditioner. This research aims to provide the fundamental materials for implementing defect confirmation tests for commercial vehicles, which are appropriate for domestic emission control situations, after studying the defect confirmation test methods for heavy-duty vehicles using PEMS.