• Title/Summary/Keyword: organized performance

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The Effect of 12-week Weight Training with Muscle Strength, Agility Training on Physical Fitness Factors and Isokinetic Muscle Function in of Elementary School Male Soccer Players (초등학교 남자 축구선수들의 12주간 근파워 및 민첩성 트레이닝이 체력요인, 등속성 근기능에 미치는 영향)

  • Kim, Ji-Sun
    • Journal of the Korean Applied Science and Technology
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    • v.39 no.4
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    • pp.527-534
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    • 2022
  • The purpose of this study was to investigate the effects of 12 weeks of muscle power and agility training on physical fitness factors and isokinetic muscle function in elementary school male soccer players. For this purpose, 6 muscle power and agility training programs were organized for 12 elementary school male soccer players and were conducted 3 times a week for 12 weeks. The results of measurement and analysis of physical fitness factors before and after the muscle strength and agility training are as follows. First, there was a significant difference in the standing long jump in place of muscle power(p<.001). Second, there was a significant difference in the standing vertical jump of muscle power(p<.05). Third, there was a significant difference in the side step of agility(p<.01). As a result, 12 weeks of muscle power and agility training can be expected to have a positive effect on the improvement of agility and agility of elementary school male soccer players, and it is judged that it can provide training basic data for injury prevention and performance improvement.

An Examination of the Characteristics and Manufacturing Techniques of Joseon-era Metal Bullets (조선시대 금속제 탄환의 특징과 제작기법 검토)

  • Choi, Bo Bae;Lee, Hye Jin;Kim, Myung Hoon;Jeong, Hyeon Jin
    • Conservation Science in Museum
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    • v.28
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    • pp.65-88
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    • 2022
  • The characteristics and behavior of bullets are important because they are directly related to the firearm performance. However, research related to bullets have been small. In this paper, scientific analysis was conducted to find out the materials and manufacturing process of metal bullets during the Joseon Dynasty, owned by Korea Army Museum, and the types of firearms available were classified and organized according to the bullet diameter. As a result, bullets were classified into iron bullets, lead bullets, and lead-coated iron bullets. Most of the iron bullets and lead bullets were made from casting. Some iron bullets were made from forging. And the lead-coated iron bullet was made by pouring molten lead after putting the iron bullet into the mold. Finally, the bullets could be used for Hand Cannon, Matchlock Musket, Frankish Cannon, Hyeon-ja Cannon, Dae-Wiwon Cannon, Small Cannon, and Hong-Yi Cannon.

Text summarization of dialogue based on BERT

  • Nam, Wongyung;Lee, Jisoo;Jang, Beakcheol
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.8
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    • pp.41-47
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    • 2022
  • In this paper, we propose how to implement text summaries for colloquial data that are not clearly organized. For this study, SAMSum data, which is colloquial data, was used, and the BERTSumExtAbs model proposed in the previous study of the automatic summary model was applied. More than 70% of the SAMSum dataset consists of conversations between two people, and the remaining 30% consists of conversations between three or more people. As a result, by applying the automatic text summarization model to colloquial data, a result of 42.43 or higher was derived in the ROUGE Score R-1. In addition, a high score of 45.81 was derived by fine-tuning the BERTSum model, which was previously proposed as a text summarization model. Through this study, the performance of colloquial generation summary has been proven, and it is hoped that the computer will understand human natural language as it is and be used as basic data to solve various tasks.

Development of Teaching Competency Scales: Focused on CTL Teaching Program (대학 CTL 교수지원프로그램 맞춤형 교수역량진단도구 개발)

  • Kang, Dae-Sik
    • Journal of Practical Engineering Education
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    • v.14 no.1
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    • pp.49-59
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    • 2022
  • This study was conducted to develop a teaching competency scales customized for teaching programs conducted by Center for Teaching & Learning at A University. To achieve this purpose, a preliminary study was set up, which consists of three competency groups (basic competency, practice competency, innovation competency) and 26 learning competency factors through a review of previous studies. In order to verify the reliability and validity of the provisional teaching competency scales, an online survey was conducted on A university teachers in September 2020, The collected questionnaire data were organized and exploratory factor analysis and confirmatory factor analysis were conducted. As a result of exploratory factor analysis, 26 teaching competency was reduced to 17. As a result of the confirmatory factor analysis, the model was found to be good, Also, as a result of analyzing the construct reliability and AVE of the confirmed teaching competency factors, all 17 factors showed a good level of .7 or more. The teaching competency scales developed through this study can be used as basic data for performance evaluation and development of new programs of CTL teaching program.

Investigating the future changes of extreme precipitation indices in Asian regions dominated by south Asian summer monsoon

  • Deegala Durage Danushka Prasadi Deegala;Eun-Sung Chung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.174-174
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    • 2023
  • The impact of global warming on the south Asian summer monsoon is of critical importance for the large population of this region. This study aims to investigate the future changes of the precipitation extremes during pre-monsoon and monsoon, across this region in a more organized regional structure. The study area is divided into six major divisions based on the Köppen-Geiger's climate structure and 10 sub-divisions considering the geographical locations. The future changes of extreme precipitation indices are analyzed for each zone separately using five indices from ETCCDI (Expert Team on Climate Change Detection and Indices); R10mm, Rx1day, Rx5day, R95pTOT and PRCPTOT. 10 global climate model (GCM) outputs from the latest CMIP6 under four combinations of SSP-RCP scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) are used. The GCMs are bias corrected using nonparametric quantile transformation based on the smoothing spline method. The future period is divided into near future (2031-2065) and far future (2066-2100) and then the changes are compared based on the historical period (1980-2014). The analysis is carried out separately for pre-monsoon (March, April, May) and monsoon (June, July, August, September). The methodology used to compare the changes is probability distribution functions (PDF). Kernel density estimation is used to plot the PDFs. For this study we did not use a multi-model ensemble output and the changes in each extreme precipitation index are analyzed GCM wise. From the results it can be observed that the performance of the GCMs vary depending on the sub-zone as well as on the precipitation index. Final conclusions are made by removing the poor performing GCMs and by analyzing the overall changes in the PDFs of the remaining GCMs.

  • PDF

Corporate Brand Management of SK

  • Lee, Jinyong
    • Asia Marketing Journal
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    • v.20 no.1
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    • pp.23-48
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    • 2018
  • SK group has been a pioneer in overall brand management and, more recently, in CSR-imbedded brand management. SK vision of "improving itself to give greater happiness to all of its customers" and the symbol mark of "Wings of Happiness" are some good examples of integrating distinct brand identities of various member companies. After impressive growth and expansions into diverse business areas, SK group is ranked as the third largest company based on asset amounts according to the Fair Trade Commission of Korea, only after Samsung and Hyundai Motor groups. SK brand management can be analyzed, using the framework of 4 stages - 'infrastructure', 'planning', 'doing', and 'seeing' stages. In order to secure 'infrastructure' of brand management system, SK has invested huge resources to the 'SK BMS' (SK Brand Management System). At the 'planning' stage, the most important task of SK like other Korean business groups is perhaps to adopt a well-organized 'brand identity (BI) system' which may consolidate brand values of individual member companies. In actuality, SK BI consists of Customer Happiness located at the center and 3 other elements of Pride, Professionalism, and Customer-orientation. At the 'doing' stage, the slogan of 'OK! SK' and the logo of 'Wings of Happiness' have been placed at the core of the SK group brand building programs. SK adopts the principle of 'independent yet united', pinpointing that each member company independently works for its business performance but it is, at the same time, encouraged to integrate its capabilities for the SK group brand. In addition, SK has sought 'shared growth' with business partners for happiness for all the members in the society. 'Social Contribution Philosophy' based on SK value of 'creation of greater happiness' is again one of the most important guidelines for CSR (corporate social responsibility) at the doing stage. At the seeing stage, SK regularly evaluates its branding programs. SK has shown some very impressive achievements in brand management: (1) a core identity of 'Customer Happiness' participating member companies may share, (2) harmonious relationships between the group brand management office and brand management divisions of member companies, and (3) consistency-keeping in brand management over time. However, there remain two major challenges: (1) globalization of SK and (2) reinforcing sustainable superiority over not only Korean rivals but also global ones.

A High Speed Optimized Implementation of Lightweight Cryptography TinyJAMBU on Internet of Things Processor 8-Bit AVR (사물 인터넷 프로세서 8-bit AVR 상에서의 경량암호 TinyJAMBU 고속 최적 구현)

  • Hyeok-Dong Kwon;Si-Woo Eum;Min-Joo Sim;Yu-Jin Yang;Hwa-Jeong Seo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.2
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    • pp.183-191
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    • 2023
  • Cryptographic algorithms require extensive computational resources and rely on complex mathematical principles for security. However, IoT devices have limited resources, leading to insufficient computing power. As a result, lightweight cryptography has emerged, which uses fewer computational resources. NIST organized a competition to standardize lightweight cryptography and TinyJAMBU, one of the algorithms in the competition, is a permutation-based algorithm that repeats many permutation operations. In this paper, we implement TinyJAMBU on an 8-bit AVR processor with a proposedtechnique that includes a reverse shift method and precomputing some operations in a fixed key and nonce environment. Our techniques showed a maximum performance improvement of 7.03 times in permutation operations and 5.87 times in the TinyJAMBU algorithm, improving up to 9.19 times in a fixed key and nonce environment.

Improving Classification Accuracy in Hierarchical Trees via Greedy Node Expansion

  • Byungjin Lim;Jong Wook Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.6
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    • pp.113-120
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    • 2024
  • With the advancement of information and communication technology, we can easily generate various forms of data in our daily lives. To efficiently manage such a large amount of data, systematic classification into categories is essential. For effective search and navigation, data is organized into a tree-like hierarchical structure known as a category tree, which is commonly seen in news websites and Wikipedia. As a result, various techniques have been proposed to classify large volumes of documents into the terminal nodes of category trees. However, document classification methods using category trees face a problem: as the height of the tree increases, the number of terminal nodes multiplies exponentially, which increases the probability of misclassification and ultimately leads to a reduction in classification accuracy. Therefore, in this paper, we propose a new node expansion-based classification algorithm that satisfies the classification accuracy required by the application, while enabling detailed categorization. The proposed method uses a greedy approach to prioritize the expansion of nodes with high classification accuracy, thereby maximizing the overall classification accuracy of the category tree. Experimental results on real data show that the proposed technique provides improved performance over naive methods.

Water demand forecasting at the DMA level considering sociodemographic and waterworks characteristics (사회인구통계 및 상수도시설 특성을 고려한 소블록 단위 물 수요예측 연구)

  • Saemmul Jin;Dooyong Choi;Kyoungpil Kim;Jayong Koo
    • Journal of Korean Society of Water and Wastewater
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    • v.37 no.6
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    • pp.363-373
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    • 2023
  • Numerous studies have established a correlation between sociodemographic characteristics and water usage, identifying population as a primary independent variable in mid- to long-term demand forecasting. Recent dramatic sociodemographic changes, including urban concentration-rural depopulation, low birth rates-aging population, and the rise in single-person households, are expected to impact water demand and supply patterns. This underscores the necessity for operational and managerial changes in existing water supply systems. While sociodemographic characteristics are regularly surveyed, the conducted surveys use aggregate units that do not align with the actual system. Consequently, many water demand forecasts have been conducted at the administrative district level without adequately considering the water supply system. This study presents an upward water demand forecasting model that accurately reflects real water facilities and consumers. The model comprises three key steps. Firstly, Statistics Korea's SGIS (Statistical Geological Information System) data was reorganized at the DMA level. Secondly, DMAs were classified using the SOM (Self-Organizing Map) algorithm to consider differences in water facilities and consumer characteristics. Lastly, water demand forecasting employed the PCR (Principal Component Regression) method to address multicollinearity and overfitting issues. The performance evaluation of this model was conducted for DMAs classified as rural areas due to the insufficient number of DMAs. The estimation results indicate that the correlation coefficients exceeded 0.9, and the MAPE remained within approximately 10% for the test dataset. This method is expected to be useful for reorganization plans, such as the expansion and contraction of existing facilities.

The Efficiency Analysis of CRM System in the Hotel Industry Using DEA (DEA를 이용한 호텔 관광 서비스 업계의 CRM 도입 효율성 분석)

  • Kim, Tai-Young;Seol, Kyung-Jin;Kwak, Young-Dai
    • Journal of Intelligence and Information Systems
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    • v.17 no.1
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    • pp.91-110
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    • 2011
  • This paper analyzes the cases where the hotels have increased their services and enhanced their work process through IT solutions to cope with computerization globalization. Also the cases have been studies where national hotels use the CRM solution internally to respond effectively to customers requests, increase customer analysis, and build marketing strategies. In particular, this study discusses the introduction of the CRM solutions and CRM sales business and marketing services using a process for utilizing the presumed, CRM by introducing effective DEA(Data Envelopment Analysis). First, the comparison has done regarding the relative efficiency of L Company with the CCR model, then compared L Company's restaurants and facilities' effectiveness through BCC model. L Company reached a conclusion that it is important to precisely create and manage sales data which are the preliminary data for CRM, and for that reason it made it possible to save sales data generated by POS system on each sales performance database. In order to do that, it newly established Oracle POS system and LORIS POS system concerned with restaurants for food and beverage as well as rooms, and made it possible to stably generate and manage sales data and manage. Moreover, it set up a composite database to control comprehensively the results of work processes during a specific period by collecting customer registration information and made it possible to systematically control the information on sales performances. By establishing a system which unifies database and managing it comprehensively, impeccability of data has been greatly enhanced and a problem which generated asymmetric data could be thoroughly solved. Using data accumulated on the comprehensive database, sales data can be analyzed, categorized, classified through data mining engine imbedded in Polaris CRM and the results can be organized on data mart to provide them in the form of CRM application data. By transforming original sales data into forms which are easy to handle and saving them on data mart separately, it enabled acquiring well-organized data with ease when engaging in various marketing operations, holding a morning meeting and working on decision-making. By using summarized data at data mart, it was possible to process marketing operations such as telemarketing, direct mailing, internet marketing service and service product developments for perceived customers; moreover, information on customer perceptions which is one of CRM's end-products could feed back into the comprehensive database. This research was undertaken to find out how effectively CRM has been employed by comparing and analyzing the management performance of each enterprise site and store after introducing CRM to Hotel enterprises using DEA technique. According to the research results, efficiency evaluation for each site was calculated through input and output factors to find out comparative CRM system usage efficiency of L's Company four sites; moreover, with regard to stores, the sizes of workforce and budget application show a huge difference and so does the each store efficiency. Furthermore, by using the DEA technique, it could assess which sites have comparatively high efficiency and which don't by comparing and evaluating hotel enterprises IT project outcomes such as CRM introduction using the CCR model for each site of the related enterprises. By using the BCC model, it could comparatively evaluate the outcome of CRM usage at each store of A site, which is representative of L Company, and as a result, it could figure out which stores maintain high efficiency in using CRM and which don't. It analyzed the cases of CRM introduction at L Company, which is a hotel enterprise, and precisely evaluated them through DEA. L Company analyzed the customer analysis system by introducing CRM and achieved to provide customers identified through client analysis data with one to one tailored services. Moreover, it could come up with a plan to differentiate the service for customers who revisit by assessing customer discernment rate. As tasks to be solved in the future, it is required to do research on the process analysis which can lead to a specific outcome such as increased sales volumes by carrying on test marketing, target marketing using CRM. Furthermore, it is also necessary to do research on efficiency evaluation in accordance with linkages between other IT solutions such as ERP and CRM system.