• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.210-216
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• 2023

Demand prediction is an essential component of any business or supply chain. Large retailers need to keep track of tens of millions of items flows each day to ensure smooth operations and strong margins. The demand prediction is in the epicenter of this planning tornado. For business processes in retail companies that deal with a variety of products with short shelf life and foodstuffs, forecast accuracy is of the utmost importance due to the shifting demand pattern, which is impacted by an environment of dynamic and fast response. All sectors strive to produce the ideal quantity of goods at the ideal time, but for retailers, this issue is especially crucial as they also need to effectively manage perishable inventories. In light of this, this research aims to show how Machine Learning approaches can help with demand forecasting in retail and future sales predictions. This will be done in two steps. One by using historic data and another by using open data of weather conditions, fuel, Consumer Price Index (CPI), holidays, any specific events in that area etc. Several machine learning algorithms were applied and compared using the r-squared and mean absolute percentage error (MAPE) assessment metrics. The suggested method improves the effectiveness and quality of feature selection while using a small number of well-chosen features to increase demand prediction accuracy. The model is tested with a one-year weekly dataset after being trained with a two-year weekly dataset. The results show that the suggested expanded feature selection approach provides a very good MAPE range, a very respectable and encouraging value for anticipating retail demand in retail systems.

• Journal of Korean Dental Hygiene Science
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• v.5 no.2
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• pp.113-121
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• 2022

Background: This study aimed to create and present content that can be used in the dental hygiene ethics process to help dental hygiene students develop desirable work ethics and ethical values. Methods: In order to operate the dental hygiene ethics course in all academic systems, one three-year dental hygiene professor and one four-year dental hygiene professor participated in setting core competencies and learning goals for the dental hygiene ethics course. The class consisted of two credits, two hours of theoretical classes, and class activity sheets developed according to the learning contents and learning topics for each week that can be operated for 15 weeks. Results: The contents of the dental hygiene ethics subject were developed to be conducted as theoretical education and case-oriented discussion classes. The 15-week class consisted of a theory lecture on dental hygiene work ethics (eight weeks), discussions and presentations for ethical decisions based on actual cases related to dental hygiene ethics (four weeks), and the design and presentation of individual professional mission statements and codes of conduct (three weeks). The class data for each week consisted of four stages: "Learning goal-thinking," "open-thinking," "learning content-thinking," and "according to learning goal." Conclusions: In order to establish desirable workplace ethics and ethical values for dental hygiene students, it is necessary to approach education in a way that values understanding and application of dental hygiene practices, legal and ethical standards, ethical decision-making models, and ethical principles.

• Journal of Hospice and Palliative Care
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• v.26 no.2
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• pp.42-50
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• 2023

Purpose: The purpose of this study was to identify barriers to effective conversations about advance care planning (ACP) and palliative care reported by health care and community-based service providers in Massachusetts, USA. Methods: This qualitative research analyzed open-ended responses to two survey questions, inquiring about perceived barriers to having conversations about ACP and palliative care with patients and consumers. Data were collected between November 2017 and June 2019 from nine organizations in Massachusetts, including health care provider organizations, health insurers, community-based organizations, and a nursing education institution. Two researchers reviewed and coded the responses and identified common themes inductively. Results: Across 142 responses, primary barriers to ACP included hesitation and lack of understanding and knowledge, discomfort and resistance among service providers, lack of staff knowledge, difficulties with followup, and differences in ACP policies across regions. Common barriers to palliative care were misconceptions about palliative care and lack of knowledge, service providers' lack of preparedness, and limited policy support and availability. Challenges relevant to both ACP and palliative care were fear and discomfort around serious illness discussions, lack of knowledge and awareness, discussions that occur too late, and cultural and language barriers. Conclusion: Health care practitioners and community-based professionals reported consumer-, service provider-, and system-level barriers to facilitating conversations about ACP and palliative care with patients experiencing serious illness. There is a need for more tools and support to strengthen service providers' ACP and palliative care competencies and to promote a structured approach to health care planning conversations.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.268-272
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• 2023

With the development of SNS, companies and individuals are actively marketing through social media to develop their own products. It is also important to post posts promoting on simple SNS or to show a lot of exposure using algorithms, but customers upload reviews or proof shots of the product on their own, naturally increasing the exposure of the product and increasing the purchasing power of potential customers. As the number of products that users want to purchase through SNS is increasing, they want to access and purchase not only tangible products such as goods and food, but also intangible services through SNS. In this paper, we would like to study exhibitions that have both tangible and intangible characteristics. SNS accounts that mainly introduce these products by searching for reviews have been created while spending leisure time such as exhibitions and fairs, reducing the hassle of searching for personal interests on search engines, and providing prices and reviews from the exhibition's schedule, lowering entry barriers and increasing purchasing power. Using this point, many exhibitions not only display works, but also open various experience centers, and create a photo zone or a unique exhibition hall atmosphere to attract many customers. In this study, we study the impact of SNS on the leisure culture of exhibition. The marketing direction in the situation where SNS marketing is becoming the mainstream is presented, and the change in the form of exhibition is described and presented as an academic approach.

• Journal of IKEEE
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• v.26 no.1
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• pp.62-66
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• 2022

Recently, there have been many research efforts based on data-based deep learning technologies to deal with the interference problem between heterogeneous wireless communication devices in unlicensed frequency bands. However, existing approaches are commonly based on the use of complex neural network models, which require high computational power, limiting their efficiency in resource-constrained network interfaces and Internet of Things (IoT) devices. In this study, we address the problem of classifying heterogeneous wireless technologies including Wi-Fi and ZigBee in unlicensed spectrum bands. We focus on a data-driven approach that employs a supervised-learning method that uses received signal strength indicator (RSSI) data to train Deep Convolutional Neural Networks (CNNs). We propose a simple measurement methodology for collecting RSSI training data which preserves temporal and spectral properties of the target signal. Real experimental results using an open-source 2.4 GHz wireless development platform Ubertooth show that the proposed sampling method maintains the same accuracy with only a 10% level of sampling data for the same neural network architecture.

• Asia-Pacific Journal of Business
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• v.13 no.4
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• pp.45-59
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• 2022

Purpose - This study investigates the performance of investment strategies incorporating estimated stock market cycle based on a lead-lag relationship between business cycle and stock market cycle, thereby deriving empirical implications on risk management. Design/methodology/approach - The data period ranges from June 1953 to September 2022 and de-trended short rate, term spread, credit spread, stock market volatility are considered as major input variables to estimate business cycle and stock market cycle by applying probit model. Based on the estimated stock market cycle, two types of strategies are constructed and their performance relative to the benchmark is empirically examined. Findings Two types of strategies based on stock market cycle are considered: The first strategy is to long(short) on stocks when stock market stage is expected to be an expansion(a recession), and the second one is to long on stocks(bonds) when expecting an expansion(a recession). The empirical results show that the strategies based on stock market cycle outperforms a simple buy and hold strategy in both in-sample and out-of-sample investigation. Also the out-of-sample evidence suggests that the second strategy which is in line with asset allocation is more profitable than the first one. Research implications or Originality The strategies considered in this study are based on the estimated stock market cycle which only depends on a few easily available financial variables, thereby making easier to establish such a strategy. It implies that investors enhance investment performance by constructing a relatively simple trading strategies if they set their position on stocks or choose which asset class to buy conditioning on stock market cycle.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.4A
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• pp.343-352
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• 2010

Recently, many researchers have been carried out to estimate more controlled service life and long-term performance of carbonated concrete structures. Durability analysis and design based on probability have been induced to new concrete structures for design. This paper provides a carbonation prediction model based on the Fick's 1st law of diffusion using statistic data of carbonated concrete structures and the probabilistic analysis of the durability performance has been carried out by using a Bayes' theorem. The influence of concerned design parameters such as $CO_2$ diffusion coefficient, atmospheric $CO_2$ concentration, absorption quantity of $CO_2$ and the degree of hydration was investigated. Using a monitoring data, this model which was based on probabilistic approach was predicted a carbonation depth and a remaining service life at a variety of environmental concrete structures. Form the result, the application method using a realistic carbonation prediction model can be to estimate erosion-open-time, controlled durability and to determine a making decision for suitable repair and maintenance of carbonated concrete structures.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.4
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• pp.450-468
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• 2023

Purpose: This study aimed to conduct a qualitative synthesis of workplace bullying experiences among nurses in Republic of Korea. Methods: Following the PRISMA guideline, a literature search was conducted using seven domestic and three international databases. Studies published in Korean or English from inception to December 31, 2022 were included. A meta-aggregation approach suggested by the Joanna Briggs Institute was used to synthesize the research findings. Results: Fourteen studies were included in this review. As a result of a data analysis of the selected studies, 199 subthemes and supporting illustrations were identified and grouped into 36 related categories. Based on the subthemes and categories, five synthesized findings were developed: (1) the individual and organizational causes of workplace bullying; (2) the various types of physical violence and psychological harassment; (3) the negative impact of workplace bullying and its effect on self-growth; (4) active and passive coping efforts in dealing with bullying; and (5) strategies for preventing bullying incidents. Conclusion: Based on the synthesized findings, four recommendations were made: (1) improving the challenging working conditions for nurses; (2) enhancing educational programs for new nursing graduates; and (3) promoting proactive responses from nursing managers in conjunction with an expansion of resilience training for nursing students. Finally, to address the issue of workplace bullying, (4) multi-center and multi-level research involving nursing organizations needs to be conducted.

• Journal of The Korean Society of Grassland and Forage Science
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• v.43 no.3
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• pp.190-198
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• 2023

This study was conducted to calculate the damage of Italian ryegrass (IRG) by abnormal climate using machine learning and present the damage through the map. The IRG data collected 1,384. The climate data was collected from the Korea Meteorological Administration Meteorological data open portal.The machine learning model called xDeepFM was used to detect IRG damage. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The calculation of damage was the difference between the Dry matter yield (DMY)_normal and DMY_abnormal. The normal climate was set as the 40-year of climate data according to the year of IRG data (1986~2020). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization (WMO) standard. The DMY_normal was ranged from 5,678 to 15,188 kg/ha. The damage of IRG differed according to region and level of abnormal climate with abnormal temperature, precipitation, and wind speed from -1,380 to 1,176, -3 to 2,465, and -830 to 962 kg/ha, respectively. The maximum damage was 1,176 kg/ha when the abnormal temperature was -2 level (+1.04℃), 2,465 kg/ha when the abnormal precipitation was all level and 962 kg/ha when the abnormal wind speed was -2 level (+1.60 ㎧). The damage calculated through the WMO method was presented as an map using QGIS. There was some blank area because there was no climate data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

• Journal of Korean Medical classics
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• v.36 no.4
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• pp.93-108
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• 2023

Objectives : This paper aims to study the characteristics of zhongfeng treatment by examining the eight principles of zhongfeng treatment in the Zhongfeng Jiaoquan of Zhang Shanlei along with Zhang Bolong's treatment of 'Yangxu Leizhongfeng[Yang deficiency pseudo Wind damage]' which is missing from the eight principles. Methods : The treatment methods in the Zhongfeng Jiaoquan was organized in the order of cause, characteristic, symptom, treatment, and precautions, in order to analyze features that were emphasized by Zhang in zhongfeng treatment. Results : First, treatment for bizheng is to 'open and close', then apply methods of 'qianyang jiangqi(潛陽降氣)' and 'zhenni huatan(鎭逆化痰)' while that for tuozheng is to 'lianyin yiye(戀陰益液)' accompanied by medicinals that 'qianzhen xutang(潛鎭虛陽)'. Second, treatment for ganyang shangnizheng is to 'qianzhen rougan', while for tanzian yongsezheng, one must 'dangdi(蕩滌)' for those who are strong in qi, 'xiehua(泄化)' for those who are weak in qi, while for those who have qinizheng[qi reverse syndrome] to 'shunqi(順氣).' Third, for deficiency in xinye and ganyin, one must 'yuyin yangxue[育陰養血]', while for deficiency in shenyin, one must first 'qianjiang shena[潛降攝納]' then slowly apply the method of 'ziyang shenyin[滋養腎陰]' if there is no phlegm turbidity. Fourth, in order to communicate the meridians and unfold collaterals, if the pathogen is external, apply the method of 'yangxue tongluo[養血通絡]', while if the pathogen is internal, calm by doing 'qianyang zhenni[潛陽鎭逆].' Fifth, in order to treat pseudo zhongfeng caused by yang deficiency, one must 'lianyin gutuo[戀陰固脫]' while using medicinals that 'jiangxiang[潛降]'. Conclusions : Treatment of zhongfeng in the Zhongfeng Jiaoquan diverged from 'wenjing sanhan', the usual approach to zhongfeng which sees it as external, and established the 'qianjiang zhenshe [潛降鎭攝]' treatment method based on the internal wind theory. It suggests a new Korean Medical pathology based on theories of Western medicine, and introduces eight principles in treating zhongfeng, which would influence the treatment of zhongfeng in the future.