• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.12
• /
• pp.669-676
• /
• 2018

Schedule management in construction work is an important step for determining the construction period. On the other hand, there is a difference between the planned schedule and execution schedule because the estimation and calculation of Non-Working days, in which possible at the design stage is not performed properly. This paper proposes a method for estimating the working days by analyzing characteristics of the major work type and estimating the Non-Working days reflecting the Chuseok and New Year Holidays, which is the closest method to the actual work in the schedule planning. By applying the correction factor of the existing method and the improved method for the same construction in the same site, improved method was reduced by 22 days (9.1%) based on the actual working days. The importance of schedule management was confirmed as an example by comparing the data before and after the application of the standard (plan). These results show that the schedule delays, which are caused by the inconsistency between actual working days calculation that had been practiced conventionally and the working days on the schedule table, can be prevented. In addition, it will help to establish a schedule plan that is closer to reality.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.31 no.1
• /
• pp.83-97
• /
• 2021

Wireless sensors that make up the Wireless Sensor Network generally have extremely limited power and resources. The wireless sensor enters the sleep state at a certain interval to conserve power. The Sleep deflation attack is a deadly attack that consumes power by preventing wireless sensors from entering the sleep state, but there is no clear countermeasure. Thus, in this paper, using clustering-based binary search tree structure, the Sleep deprivation attack detection model is proposed. The model proposed in this paper utilizes one of the characteristics of both attack sensor nodes and normal sensor nodes which were classified using machine learning. The characteristics used for detection were determined using Long Short-Term Memory, Decision Tree, Support Vector Machine, and K-Nearest Neighbor. Thresholds for judging attack sensor nodes were then learned by applying the SVM. The determined features were used in the proposed algorithm to calculate the values for attack detection, and the threshold for determining the calculated values was derived by applying SVM.Through experiments, the detection model proposed showed a detection rate of 94% when 35% of the total sensor nodes were attack sensor nodes and improvement of up to 26% in power retention.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.30 no.6
• /
• pp.1131-1139
• /
• 2020

The static analysis of the source code is to find the remaining security weaknesses for a wide range of source codes. The static analysis tool is used to check the result, and the static analysis expert performs spying and false detection analysis on the result. In this process, the amount of analysis is large and the rate of false positives is high, so a lot of time and effort is required, and a method of efficient analysis is required. In addition, it is rare for experts to analyze only the source code of the line where the defect occurred when performing positive/false detection analysis. Depending on the type of defect, the surrounding source code is analyzed together and the final analysis result is delivered. In order to solve the difficulty of experts discriminating positive and false positives using these static analysis tools, this paper proposes a method of determining whether or not the security weakness found by the static analysis tools is a spy detection through artificial intelligence rather than an expert. In addition, the optimal size was confirmed through an experiment to see how the size of the training data (source code around the defects) used for such machine learning affects the performance. This result is expected to help the static analysis expert's job of classifying positive and false positives after static analysis.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.28 no.1
• /
• pp.168-174
• /
• 2022

In a wave power generation system, the overtopping system is known as an overtopping wave energy converter (OWEC). The performance of an OWEC is affected by wave characteristics such as height and period because its power generation system is sensitive to those characteristics; these, as well as wave direction, depend on the sea. As these characteristics vary, it is hard for the OWEC to produce power in a stable manner. Therefore, it is necessary to find an appropriate shape for an OWEC, according to the characteristics of the sea it is in. This research verified the effect of the design of the OWEC ramp on the hydraulic efficiency using the smoothed particle hydrodynamics (SPH) particle method. A total of 10 models were designed and used in simulations performed by selecting the design parameters of the ramp and changing the attack angle based on those parameters. The hydraulic efficiency was calculated based on the rate of discharged water obtained from the analysis result. The effect of each variable on the overtopping performance according to the shape of the ramp was then confirmed. In this study, we present suggestions for determining the direction for an appropriately shaped OWEC ramp, based on a specific sea area.

• Journal of Nutrition and Health
• /
• v.55 no.2
• /
• pp.240-249
• /
• 2022

Purpose: Glabridin (GD) is a bio-available isoflavane isolated from the root extract of licorice (Glycyrrhiza glabra L.). It exhibits a variety of pharmacological activities such as anti-inflammatory and anti-oxidant activities. However, extracellular vesicles (EVs) secretion and the anti-cancer mechanism of action remains largely unknown. The present study investigates the anticancer effects of GD by determining the inhibition of EVs secretion in the human breast cancer cell line, MDA-MB-231. Methods: Cell viability, reactive oxygen species (ROS) production, migration, invasion rate, and vascular endothelial growth factor (VEGF) concentration were assessed in MDA-MB-231 cells treated with increasing concentrations of GD (0.1, 1, 5, 10, 20 µM). Subsequently, EV secretion and exosomal DEL-1 protein expression were evaluated to determine the anticancer effects of GD. Results: The results showed that GD significantly inhibited the cell proliferation of MDA-MB-231 cells in a dose- or time-dependent manner. Also, ROS production and apoptosis marker protein cleaved caspase-3 were significantly increased in GD-treated MDA-MB-231, compared to control. Furthermore, GD exposure resulted in significantly decreased not only migration and invasion rates but also the VEGF concentration, thereby contributing to a reduction in angiogenesis. Interestingly, the concentration and number of EVs as well as EV marker proteins, such as CD63 and TSG101, were decreased in GD-treated MDA-MB-231 cells. Markedly, extracellular matrix protein DEL-1 as angiogenesis factor was decreased in EVs from GD-treated MDA-MB-231 cells. Conclusion: This study identifies that the anti-cancer molecular mechanism of GD is exerted via inhibition of angiogenesis and EVs secretion, indicating the potential of GD as a chemotherapeutic agent for breast cancer.

• Journal of the Korean GEO-environmental Society
• /
• v.23 no.3
• /
• pp.15-22
• /
• 2022

This study aims to observe the swelling representative rocks in Korea and to suggest improvements in the use of test methods and prior analysis in relation to the weathering of rocks. The swelling test and analysis were performed on the drilling cores obtained for the ground investigation at the domestic highway construction site. For the method of determining the absorption expansion index of rocks, the method proposed in "Standard Methods for Sample Collection and Specimen Preparation" of ISRM and Korean Rock Engineers Standard Rock Test Method was used. The specimen for the measurement of the expansion displacement was cylindrical with a height of 10 cm and a diameter of 5 cm. The existing swelling analysis method evaluates the sensitivity to weathering by using the maximum expansion displacement, but since the classification by bedrock grade is unclear, it is reasonable to use the rate of change of the expansion displacement according to the immersion time. It is necessary to conduct an experiment to distinguish between weathering and fault deterioration. In addition, long-term weathering prediction technology for each cancer type is needed through the expansion displacement analysis of the chemical weathering stage.

• Journal of Korean Foot and Ankle Society
• /
• v.25 no.4
• /
• pp.157-164
• /
• 2021

Purpose: This study aimed to report the current trends in the management of the hallux valgus (HV) deformity over the last few decades through a survey of the Korean Foot and Ankle Society (KFAS) members. Materials and Methods: A web-based questionnaire containing 34 questions was sent to all KFAS members in September 2021. The questions were mainly related to the preferred techniques and clinical experience in correction in patients with an HV deformity. Answers with a prevalence of ≥50% of respondents were considered a tendency. Results: One hundred and nine (19.8%) of the 550 members responded to the survey. The most common symptom for determining surgical treatment was bunion pain (68.8%), and different surgical techniques were selected according to the following radiological parameters: HV angle 30 to 40 degrees and intermetatarsal angle 15 to 20 degrees. The two procedures most preferred by the respondents were distal chevron osteotomy (55.0%), and proximal chevron osteotomy (21.1%). In an average of 71.6% of respondents, Arkin osteotomy was performed simultaneously during HV surgery. HV accompanied by an overriding deformity of the second toe was most often addressed with a combination of second metatarsal osteotomy and soft tissue rebalancing procedure (35.8%). After HV surgery, the recurrence rate of HV deformity was found to be 12.2% on average and the surgeons who had performed minimally invasive surgery (MIS) for HV comprised 34.9% of the total respondents. Conclusion: This study provides updated information on the current trends in the management of the HV deformity in Korea. Both consensus and variation in the approach to patients with HV were identified by this survey study. Although MIS for HV has increased, it appears the consensus for selecting this method has not yet been established.

• Journal of the Korean Chemical Society
• /
• v.67 no.3
• /
• pp.191-198
• /
• 2023

Acyl transfer reactions of 2,4-dinitrophenyl-5-substituted-2-furoates (1a-d) promoted by R₂NH/R₂NH₂⁺ in 20mol% DMSO(aq) have been studied kinetically. The reactions are second-order and exhibit downward curves of the Brönsted plots with pK_a⁰ = 9.5, β₁ = 0.23-0.35 and β₂ = 0.88-0.99. The k₁ values increased with a stronger nucleophile and as the electron-withdrawing ability of the 5-furyl substituent increases. In contrast, the k₂/k_-1 values were nearly idential regardless of the 5-furyl substituents. From these results, a stepwise mechanism with a change in the rate-determining step(RDS) is proposed.

• Journal of Internet Computing and Services
• /
• v.24 no.4
• /
• pp.127-135
• /
• 2023

This research paper explores the application of FinBERT, a variational BERT-based model pre-trained on financial domain, for sentiment analysis in the financial domain while focusing on the process of identifying suitable training data and hyperparameters. Our goal is to offer a comprehensive guide on effectively utilizing the FinBERT model for accurate sentiment analysis by employing various datasets and fine-tuning hyperparameters. We outline the architecture and workflow of the proposed approach for fine-tuning the FinBERT model in this study, emphasizing the performance of various datasets and hyperparameters for sentiment analysis tasks. Additionally, we verify the reliability of GPT-3 as a suitable annotator by using it for sentiment labeling tasks. Our results show that the fine-tuned FinBERT model excels across a range of datasets and that the optimal combination is a learning rate of 5e-5 and a batch size of 64, which perform consistently well across all datasets. Furthermore, based on the significant performance improvement of the FinBERT model with our Twitter data in general domain compared to our news data in general domain, we also express uncertainty about the model being further pre-trained only on financial news data. We simplify the complex process of determining the optimal approach to the FinBERT model and provide guidelines for selecting additional training datasets and hyperparameters within the fine-tuning process of financial sentiment analysis models.

• Korea Trade Review
• /
• v.43 no.1
• /
• pp.109-130
• /
• 2018

The cumulative standard is one of the criteria determining the origin of imported goods and is a provision that allows non-origin materials to be treated as origin goods when satisfying certain conditions. Regarding the Korea-Canada FTA, new cumulative standards were applied concerning cross accumulation of automobile products. It would benefit U.S. originating intermediate goods of HS code chapter 84, 85, 87, and 94 obtained into HS code heading from 8701 into 8706. We examine the effectiveness of crossover cumulative standards through the change in the import values of 84, 85, 87, 94, which are target items for cross cumulation. Only items designated for automobile parts were selected and analyzed. From the estimation results, significant changes appeared in 20 of the 35 items. It was found that the import amount increased significantly as of January 2015 or the rate of change in trend increases more than before. In addition, the estimation results show that Korean auto companies utilizing the cumulative standards through increased imports of auto parts form the U.S.