• Journal of Environmental Health Sciences
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• v.50 no.3
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• pp.221-228
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• 2024

Background: Social interest is increasing due to frequent accidents caused by chemicals in the electronics industry. Objectives: The purpose of this study is to present a management plan by evaluating the exposure characteristics of dichloromethane (DCM), trichloromethane (TCM), and tetramethyl ammonium hydroxide (TMAH), which are high-risk substances to which people may be exposed in the electronics industry in South Korea. Methods: To investigate the handling companies and status of the hazardous chemicals DCM, TCM, and TMAH, the handling status of the three substances was classified based on electronics industry-related codes from the 2019 Work Environment Survey (Chemical Handling and Manufacturing) data with work environment measurement results for five years. Results: DCM, TCM, and TMAH are commonly used as cleaning agents in the electronics industry. For DCM, it was found that all work environment measurement results from 2018 to 2021 but not 2022 exceeded the exposure standard. Conclusions: Identifying the distribution channels of hazardous chemicals is an intervention point that can reduce exposure to hazardous chemicals. It requires management through tracking systems such as unique verification numbers at the import and manufacturing stages, and proper cultivation of and related support for handling chemicals by business managers.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.11-20
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• 2024

In this paper, we propose the BAG (Bit-width Aware Generator) and the Intermediate Layer Knowledge Distillation using Channel-wise Attention to reduce the knowledge gap between a quantized network, a full-precision network, and a generator in GDFQ (Generative Data-Free Quantization). Since the generator in GDFQ is only trained by the feedback from the full-precision network, the gap resulting in decreased capability due to low bit-width of the quantized network has no effect on training the generator. To alleviate this problem, BAG is quantized with same bit-width of the quantized network, and it can generate synthetic images, which are effectively used for training the quantized network. Typically, the knowledge gap between the quantized network and the full-precision network is also important. To resolve this, we compute channel-wise attention of outputs of convolutional layers, and minimize the loss function as the distance of them. As the result, the quantized network can learn which channels to focus on more from mimicking the full-precision network. To prove the efficiency of proposed methods, we quantize the network trained on CIFAR-100 with 3 bit-width weights and activations, and train it and the generator with our method. As the result, we achieve 56.14% Top-1 Accuracy and increase 3.4% higher accuracy compared to our baseline AdaDFQ.

• Journal of Advanced Navigation Technology
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• v.27 no.6
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• pp.835-840
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• 2023

RFID(Radio Frequency Identification) systems are attracting attention as a key component of Internet of Things technology due to the cost and energy efficiency of application services. In order to use RFID technology in the IoT application service field, it is necessary to be able to store and manage various information for a long period of time as well as simple recognition between the reader and tag of the RFID system. And in order to read and write information to tags, a performance improvement technology that is strong and reliable in poor wireless channels is needed. In particular, in the UHF(Ultra High Frequency) RFID system, since multiple tags communicate passively in a crowded environment, it is essential to improve the recognition rate and transmission speed of individual tags. In this paper, Middleton's Class A impulsive noise model was selected to analyze the performance of the RFID system in an impulsive noise environment, and FM0 encoding and Miller encoding were applied to the tag to analyze the error rate performance of the RFID system. As a result of analyzing the performance of the RFID system in Middleton's Class A impulsive noise channel, it was found that the larger the Gaussian noise to impulsive noise power ratio and the impulsive noise index, the more similar the characteristics to the Gaussian noise channel.

• Information Systems Review
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• v.20 no.4
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• pp.59-78
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• 2018

With the advent of the various device types and marketing communication, customer's search and purchase behavior have become more complex and segmented. However, extant research on multichannel marketing effects of the purchase funnel has not reflected the specific features of device User Interface (UI) and User Experience (UX). In this study, we analyzed the marketing channel effects of multi-device shoppers using a unique click stream dataset from global online retailers. We examined device types that activate online shopping and compared the differences between marketing channels that promote visits. In addition, we estimated the direct and indirect effects on visits and purchase revenue through customer's accumulated experience and channel conversions. The findings indicate that the same customer selects a different marketing channel according to the device selection. These results can help retailers gain a better understanding of customers' decision-making process in multi-marketing channel environment and devise the optimal strategy taking into account various device types. Our empirical analyses yield business implications based on the significant results from global big data analytics and contribute academically meaningful theoretical framework using an economic model. We also provide strategic insights attributed to the practical value of an online marketing manager.

• Information Systems Review
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• v.21 no.1
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• pp.23-38
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• 2019

The social network service (SNS) is one of the important marketing channels, so many companies actively exploit SNSs by posting SNS messages with appropriate content and style for their customers. In this paper, we focused on the psychological distances embedded in the SNS messages and developed a method to measure the psychological distance in SNS message by mixing a traditional content analysis, natural language processing (NLP), and machine learning. Through a traditional content analysis by human coding, the psychological distance was extracted from the SNS message, and these coding results were used for input data for NLP and machine learning. With NLP, word embedding was executed and Bag of Word was created. The Support Vector Machine, one of machine learning techniques was performed to train and test the psychological distance in SNS message. As a result, sensitivity and precision of SVM prediction were significantly low because of the extreme skewness of dataset. We improved the performance of SVM by balancing the ratio of data by upsampling technique and using data coded with the same value in first content analysis. All performance index was more than 70%, which showed that psychological distance can be measured well.

• The Korean Journal of Physiology and Pharmacology
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• v.28 no.4
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• pp.313-322
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• 2024

Mutations within the SCN5A gene, which encodes the α-subunit 5 (Na_V1.5) of the voltage-gated Na⁺ channel, have been linked to three distinct cardiac arrhythmia disorders: long QT syndrome type 3, Brugada syndrome (BrS), and cardiac conduction disorder. In this study, we have identified novel missense mutations (p.A385T/R504T) within SCN5A in a patient exhibiting overlap arrhythmia phenotypes. This study aims to elucidate the functional consequences of SCN5A mutants (p.A385T/R504T) to understand the clinical phenotypes. Whole-cell patch-clamp technique was used to analyze the Na_V1.5 current (I_Na) in HEK293 cells transfected with the wild-type and mutant SCN5A with or without SCN1B co-expression. The amplitude of I_Na was not altered in mutant SCN5A (p.A385T/R504T) alone. Furthermore, a rightward shift of the voltage-dependent inactivation and faster recovery from inactivation was observed, suggesting a gain-of-function state. Intriguingly, the co-expression of SCN1B with p.A385T/R504T revealed significant reduction of I_Na and slower recovery from inactivation, consistent with the loss-of-function in Na⁺ channels. The SCN1B dependent reduction of I_Na was also observed in a single mutation p.R504T, but p.A385T co-expressed with SCN1B showed no reduction. In contrast, the slower recovery from inactivation with SCN1B was observed in A385T while not in R504T. The expression of SCN1B is indispensable for the electrophysiological phenotype of BrS with the novel double mutations; p.A385T and p.R504T contributed to the slower recovery from inactivation and reduced current density of Na_V1.5, respectively.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.27-34
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• 2024

The direct and indirect damages caused by fires in underground utility tunnels have a great impact on society as a whole, so efforts are needed to prevent and manage them in advance. To this end, research is ongoing to prevent disasters such as fire flooding by applying digital twin technology to underground utility tunnels. A network is required to transmit the sensed signals from each sensor to the platform. In essence, it is necessary to analyze the application of wireless networks in the underground utility tunnel environments because the tunnel lacks the reception range of external wireless communication systems. Within the underground utility tunnels, electromagnetic interference caused by transmission and distribution cables, and diffuse reflection of signals from internal structures, obstacles, and metallic pipes such as water pipes can cause distortion or size reduction of wireless signals. To ensure real-time connectivity for remote surveillance and monitoring tasks through sensing, it is necessary to measure and analyze the wireless coverage in underground utility tunnels. Therefore, in order to build a wireless network environment in the underground utility tunnels. this study minimized the shaded area and measured the actual cavity environment so that there is no problem in connecting to the wireless environment inside the underground utility tunnels. We analyzed the data transmission rate, signal strength, and signal-to-noise ratio for each section of the terrain of the underground utility tunnels. The obtained results provide an appropriate wireless planning approach for installing wireless networks in underground utility tunnels.

• Journal of The Korean Association For Science Education
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• v.44 no.2
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• pp.219-229
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• 2024

The purpose of this study is to analyze the concerns and difficulties encountered by authors involved in the development of integrated science textbooks. Specifically, it focuses on their experiences with understanding and implementing the 2022 revised science curriculum. We collected 89 opinions from textbook authors and categorized them into several key areas: understanding the terminology and descriptors provided in the curriculum, structuring learning content, inquiries and activities, and the depth and scope of learning content. The analysis revealed that the most difficulty encountered by the textbook authors was in defining the level and scope of learning content. Many also expressed concerns and difficulties related to the ambiguity of terms and predicates. In terms of the composition of learning content, difficulties were identified in concerning the repetitive descriptions of achievement standards and the discrepancy between the arrangement of achievement standards and the flow of learning. Regarding inquiries and activities, there were experiments presented that were difficult to experience or actually implement, along with limitations in activity composition due to the need to optimize learning volume. Given the importance of high-quality textbooks for effective science education at the national level, it is crucial to establish effective communication channels between curriculum developers and textbook authors. Additionally, a robust support system for textbook development should be established.

• Journal of the Korea Organic Resources Recycling Association
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• v.17 no.2
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• pp.81-92
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• 2009

This study investigated the occurrence of residues derived animals produced during the process of slaughter and the subsequent channels of processing those residues derived animals; the status of recycling of these residues derived animals by recycling business is investigated to utilize the results as the basic data for management purposes. At present, animal slaughter is highly specialized and the residues derived animals obtained from the slaughter of animals are separated and dissected into different parts to serve as fodder and residual compost. Some of the residues derived animals obtained from slaughter, which are edible are utilized for edible purposes and those parts which are not edible such as horns, claws, fats etc. are confirmed to be recycled. Poultry residues derived animals are mostly recycled as single-component feed, used as original forms, residual compost whereas fish remains are recycled mostly as singlecomponent feed etc. Most of the companies that recycle residues derived animals are situated in provinces such as Jeollanamdo, Jeollabukdo, Gyeongsangnamdo, Gyeongsangbukdo, where many of the slaughterhouses are located. And many of these recylcing business find themselves in the vicinity of these slaughterhouse. Majority of these slaughterhouse are capable of processing residues derived animals in the range of 10~60 ton/day, which is quite small in terms of processing capacity. The problem encountered in the recycling of the residues derived animals is the occurrence of foul smell caused by the decomposition, for which appropriate measures have to be taken. The residues derived animals are on many occasions directly collected and transported to save costs and secure required amount of residues derived animals.

• Economic and Environmental Geology
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• v.57 no.4
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• pp.431-447
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• 2024

This study aims to analyze the supply and demand trends and regional distribution characteristics of the stone industry through transaction records of the domestic natural stone market. The demand for natural stone is increasing globally, but domestic stone producers are facing financial difficulties due to the influx of low-cost stone, and the government is implementing various support policies, such as mandating the use of domestic stone. However, the influx of low-cost stones has led to management deterioration for domestic stone producers, prompting the government to implement various support policies such as mandating the use of domestic stones. An analysis of the natural stone transaction records from the Public Procurement Service revealed that granite was the main type of rock. The main trading items were natural stone curbs and natural stone slabs, with an average annual transaction amount of approximately 312.8 billion KRW from 2017 to 2021. A comparison of the stone distribution status between the metropolitan area and non-metropolitan areas showed that the metropolitan area had high demand, while non-metropolitan areas served as major supply sources. Cities such as Pocheon in Gyeonggi-do, Iksan in Jeollabuk-do, and Geochang in Gyeongsangnam-do play important roles as major stone suppliers. Based on these results, this study proposes fostering the stone industry tailored to regional characteristics, diversifying distribution channels, and establishing a sustainable supply chain for the sustainable development of the stone industry. Additionally, it emphasizes the need for close cooperation and support among the government, industry, and research institutions.