• Title/Summary/Keyword: gain boosting

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A Descriptive Study on the Job Information Service Market

  • Yoon, Jongwook
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.11
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    • pp.143-152
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    • 2019
  • In this study, the author seeks to identify the status of the online job information service market and present strategic guidelines to maintain the market ecosystem based on it. The research method was carried out as a descriptive study to identify the online job information service market by utilizing various secondary data. Specifically, the market analysis identified the high potential growth rate of the job information service market and key issues. Industry trend analysis analyzed key service features, job seeker types and features, service use trends, promotion and marketing methods. Finally, through SWOT analysis of the market, strategic guidelines were proposed to lead the market ecosystem into a virtuous circle. In the first place, these findings will help us gain a comprehensive view of the market by identifying the status of the job information service market with a focus on the main issues. It may also provide companies in the industry with the necessary clues to their continued survival within the industry. Furthermore, the government and public organizations are expected to contribute to boosting the job information service market with the aim of creating and improving jobs.

Effects of a Newly Designed Pelvic Belt Orthosis on Functional Mobility of Adults with Post-Stroke Hemiparesis

  • Cho, Byeong-Mo;Zarayeneh, Neda;Suh, Sang C.
    • Journal of The Korean Society of Integrative Medicine
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    • v.8 no.4
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    • pp.125-131
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    • 2020
  • Purpose : Lower extremity orthoses have been used as conservative methods to recover gait of the stroke patients. The purpose of this study is to examine how newly designed pelvic belt orthosis can improve gait ability and dynamic balance of adults with Hemiparesis after stroke. Methods : 22 patients who had hemiparesis after stroke participated in this study. Two groups were randomly created by assigning 10 subjects to the experimental group and the rest of the 12 subjects to the control group. The control group was treated by conventional physical therapy and occupational therapy. Identical therapy protocols were used to treat the experimental group who were assigned to wear the pelvic belt orthosis during post measurement. This study has a group of independent variables including group, gender, age, height, MAS, lesion side, cause and a group of dependent variables including gait speed, cadence, step length, stride length, and dynamic balance. The GAITRite system was used to measure spatial-temporal gain parameters and the balance system SD to measure dynamic balance. The data was analyzed using R version 3.3.1. Random forest, boosting algorithm, and MANOVA test were conducted to determine the effects of independent variables on dependent variables. Results : This study has a group of independent variables including group, gender, age, height, MAS, lesion side, cause and a group of dependent variables including gait speed, cadence, step length, stride length, and dynamic balance. The independent variable "group" has the most important value, which is approximately 25.42 (%IncMSE) representing a value three times greater than the second important predictor "height." Conclusion : As a result of this research, the hypothesis is validated with conclusion that Pelvic Belt orthosis could be effectively used for improving gait ability and balance of the patients with post-stroke hemiparesis.

Application of Machine Learning Techniques for Problematic Smartphone Use (스마트폰 과의존 판별을 위한 기계 학습 기법의 응용)

  • Kim, Woo-sung;Han, Jun-hee
    • Asia-Pacific Journal of Business
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    • v.13 no.3
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    • pp.293-309
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    • 2022
  • Purpose - The purpose of this study is to explore the possibility of predicting the degree of smartphone overdependence based on mobile phone usage patterns. Design/methodology/approach - In this study, a survey conducted by Korea Internet and Security Agency(KISA) called "problematic smartphone use survey" was analyzed. The survey consists of 180 questions, and data were collected from 29,712 participants. Based on the data on the smartphone usage pattern obtained through the questionnaire, the smartphone addiction level was predicted using machine learning techniques. k-NN, gradient boosting, XGBoost, CatBoost, AdaBoost and random forest algorithms were employed. Findings - First, while various factors together influence the smartphone overdependence level, the results show that all machine learning techniques perform well to predict the smartphone overdependence level. Especially, we focus on the features which can be obtained from the smartphone log data (without psychological factors). It means that our results can be a basis for diagnostic programs to detect problematic smartphone use. Second, the results show that information on users' age, marriage and smartphone usage patterns can be used as predictors to determine whether users are addicted to smartphones. Other demographic characteristics such as sex or region did not appear to significantly affect smartphone overdependence levels. Research implications or Originality - While there are some studies that predict smartphone overdependence level using machine learning techniques, but the studies only present algorithm performance based on survey data. In this study, based on the information gain measure, questions that have more influence on the smartphone overdependence level are presented, and the performance of algorithms according to the questions is compared. Through the results of this study, it is shown that smartphone overdependence level can be predicted with less information if questions about smartphone use are given appropriately.

Analyzing Soybean Growth Patterns in Open-Field Smart Agriculture under Different Irrigation and Cultivation Methods Using Drone-Based Vegetation Indices

  • Kyeong-Soo Jeong;Seung-Hwan Go;Kyeong-Kyu Lee;Jong-Hwa Park
    • Korean Journal of Remote Sensing
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    • v.40 no.1
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    • pp.45-56
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    • 2024
  • Faced with aging populations, declining resources, and limited agricultural productivity, rural areas in South Korea require innovative solutions. This study investigated the potential of drone-based vegetation indices (VIs) to analyze soybean growth patterns in open-field smart agriculture in Goesan-gun, Chungbuk Province, South Korea. We monitored multi-seasonal normalized difference vegetation index (NDVI) and the normalized difference red edge (NDRE) data for three soybean lots with different irrigation methods (subsurface drainage, conventional, subsurface drip irrigation) using drone remote sensing. Combining NDVI (photosynthetically active biomass, PAB) and NDRE (chlorophyll) offered a comprehensive analysis of soybean growth, capturing both overall health and stress responses. Our analysis revealed distinct growth patterns for each lot. LotA(subsurface drainage) displayed early vigor and efficient resource utilization (peaking at NDVI 0.971 and NDRE 0.686), likely due to the drainage system. Lot B (conventional cultivation) showed slower growth and potential limitations (peaking at NDVI 0.963 and NDRE 0.681), suggesting resource constraints or stress. Lot C (subsurface drip irrigation) exhibited rapid initial growth but faced later resource limitations(peaking at NDVI 0.970 and NDRE 0.695). By monitoring NDVI and NDRE variations, farmers can gain valuable insights to optimize resource allocation (reducing costs and environmental impact), improve crop yield and quality (maximizing yield potential), and address rural challenges in South Korea. This study demonstrates the promise of drone-based VIs for revitalizing open-field agriculture, boosting farm income, and attracting young talent, ultimately contributing to a more sustainable and prosperous future for rural communities. Further research integrating additional data and investigating physiological mechanisms can lead to even more effective management strategies and a deeper understanding of VI variations for optimized crop performance.

Impact of Lifestyles of Cultural Center Users in Discount Stores on the Store Usage Intention: Mediating Effect of Shopping Value (대형마트부설 문화센터 이용고객의 라이프스타일 유형이 대형마트 이용의도에 미치는 영향: 쇼핑가치의 매개효과)

  • Lee, Gi-Hwang;Kim, Sang-Cheol;Kim, Pan-Jin
    • Journal of Distribution Science
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    • v.13 no.10
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    • pp.83-91
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    • 2015
  • Purpose - The purpose of this study is to identify whether the operation of cultural centers in discount stores contributes to their profitability. Thus, this study is aimed at exploring how the lifestyles of customers who use the cultural centers influence their intention to use the discount stores. Specifically, the effect of shopping value on the correlation between the lifestyle types and usage intention of the customers were examined through a structured research model. To verify the effect, a survey on 139 customers of the Cultural Center of Nonghyup Hanaro Club's S branch was conducted and the valid questionnaires were used for analysis. Research design, data, and methodology - The findings are as follows. First, the lifestyles seeking self-realization had a positive effect on utilitarian value, and lifestyles seeking pop cultures had a positive effect on hedonic value. Second, the mediating effect of shopping value on the correlation between the lifestyle types and usage intention of the customers is as follows. Utilitarian value had a mediating effect only on the lifestyles seeking self-realization. In case of lifestyles seeking pop cultures, the use of Cultural Center had no effect on the intention to use the discount store. Third, an analysis of a revised research model revealed that the store usage intention of lifestyles seeking pop cultures can be enhanced by boosting the utilitarian value through hedonic value. Results - The findings suggest the following. Customers with lifestyles seeking self-realization, who value what is beneficial to them with little attention to the perceptions of others, are highly interested in the benefits they can gain from shopping. As for customers with lifestyles seeking pop cultures, they are highly likely to consume products popular in a particular culture such as new products and sports, based on financial stability they pursue. Thus, they prefer more subjective, personal experience, unlike consumers pursuing utilitarian value. Conclusions - As a result, the former pursues hedonic value gained in the process of shopping with fun and joy, rather than doing shopping with a particular purpose in mind. Therefore, Cultural Centers need to offer information that fits the lifestyles of the users so that they are more likely to use the discount stores. However, if the Cultural Centers offer unified, profit-driven products and information, just to increase their store sales, it can backfire, which occurred in the past. On the other hand, if they provide information that fits the lifestyles of the users, it can actually increase the sales. Also, the findings suggest that sophisticated marketing strategies that can boost the hedonic value of customers by linking the educational contents of Cultural Centers to actual shopping, which is beneficial to consumers, should be set and operated by discount stores. In particular, customers with lifestyles seeking self-realization can be encouraged to use the stores by making them recognize the utilitarian value. However, the use of Cultural Centers doesn't necessarily lead to higher sales among customers with lifestyles seeking pop cultures. As mentioned previously, unified marketing strategy is not as effective for Cultural Centers of large discount stores.

Parks' Lighting Measurement and Analysis for Lighting Plan around Waterfront in Jeju (제주 수변공간 조명계획을 위한 공원조명 실측과 해석)

  • Kim, Eel-Hwan;Oh, Seong-Bo;Ko, Bong-Woon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.2
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    • pp.116-122
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    • 2017
  • The environmental lighting of a city advances its landscape standards and the city's touristic value because the lighting can help improve the city's safety and security as well as its esthetic value. The types of parks in cities vary in size and function and should be reflected carefully in lighting planning to gain the best effect. The importance of city lighting has been increased in recent years due to the expanded span of urban night life. Lighting systems around rivers and coastal waterfronts in cities play an important role not only in their functional aspects, such as safety and security, but also in boosting the city's identities. This paper performed comparison analysis among Tsim Sha Tsui Promenade in Hong Kong, Fukuoka Nakagawa Park in Japan, and the walking path in Hamdeok Beach in Jeju City, Korea. According to the evaluation, Hong Kong is excellent in 8 evaluation criteria for park lighting so that the city shows its superior installation and management. Fukuoka is also good by being analyzed as 'fair' in 5 criteria. Finally, Jeju is judged as inferior overall by showing 'poor' in several criteria. The paper shows how they differ in their environment lighting characteristics and aims to suggest stable lighting planning strategies for seaside parks in Jeju so the citizens and visitors of Jeju can enjoy the beautiful sceneries and nighttime activities.

A 13b 100MS/s 0.70㎟ 45nm CMOS ADC for IF-Domain Signal Processing Systems (IF 대역 신호처리 시스템 응용을 위한 13비트 100MS/s 0.70㎟ 45nm CMOS ADC)

  • Park, Jun-Sang;An, Tai-Ji;Ahn, Gil-Cho;Lee, Mun-Kyo;Go, Min-Ho;Lee, Seung-Hoon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.3
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    • pp.46-55
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    • 2016
  • This work proposes a 13b 100MS/s 45nm CMOS ADC with a high dynamic performance for IF-domain high-speed signal processing systems based on a four-step pipeline architecture to optimize operating specifications. The SHA employs a wideband high-speed sampling network properly to process high-frequency input signals exceeding a sampling frequency. The SHA and MDACs adopt a two-stage amplifier with a gain-boosting technique to obtain the required high DC gain and the wide signal-swing range, while the amplifier and bias circuits use the same unit-size devices repeatedly to minimize device mismatch. Furthermore, a separate analog power supply voltage for on-chip current and voltage references minimizes performance degradation caused by the undesired noise and interference from adjacent functional blocks during high-speed operation. The proposed ADC occupies an active die area of $0.70mm^2$, based on various process-insensitive layout techniques to minimize the physical process imperfection effects. The prototype ADC in a 45nm CMOS demonstrates a measured DNL and INL within 0.77LSB and 1.57LSB, with a maximum SNDR and SFDR of 64.2dB and 78.4dB at 100MS/s, respectively. The ADC is implemented with long-channel devices rather than minimum channel-length devices available in this CMOS technology to process a wide input range of $2.0V_{PP}$ for the required system and to obtain a high dynamic performance at IF-domain input signal bands. The ADC consumes 425.0mW with a single analog voltage of 2.5V and two digital voltages of 2.5V and 1.1V.