• Title/Summary/Keyword: Post-Management System

Search Result 688, Processing Time 0.025 seconds

Development and Research of SMT(Smart Monitor Target) Game Interface for Airsoft Gun Users (AirSoft Gun 사용자를 위한 SMT(Smart Monitor Target)게임 인터페이스 개발 연구)

  • Chung, Ju Youn;Kang, Yun Geuk
    • Journal of Information Technology Applications and Management
    • /
    • v.28 no.1
    • /
    • pp.83-93
    • /
    • 2021
  • The purpose of this study was to develop a personalized SMT (smart monitor target) game interface for game users who enjoy airsoft sports as individual purchases of SMT have increased since the advent of the untouched era. For this study, the UX (user experience) of the game interface was designed based on previous research. In particular, the personalized game service was reinforced by adding the CP (command post) of the SMT system that performs the home function of the console game, which was intended to help the user maintain immersed in the game in the personalized space of the SMT. Major design elements for the SMT game interface included layout, color, graphics, buttons, and text, and the interface design was proceeded based on them. After composing a grid with a layout in which the tab function was applied to the interface with a vertical three-segment structure and the outer margin value secured, the military camouflage pattern and texture were applied to the colored tone to perform graphics work. Targets and thumbnails were produced as illustrations using experts to ensure the consistency of the interface, and then function buttons and texts on each page were used concisely for intuitive information delivery. The design sources organized in this way were developed using the Unity engine. In the future, we hope that game user-centered personalized interfaces will continue to develop and provide differentiated services unique to SMT systems in the airsoft gun market.

A Study on Non-Face-to-Face General English Courses for International Students: Reading Movie Scripts Aloud (유학생 대상의 비대면 교양 영어 수업 방안: 영화 대본 소리 내어 읽기를 중심으로)

  • Lee, Ji-Hyun
    • The Journal of the Convergence on Culture Technology
    • /
    • v.7 no.4
    • /
    • pp.267-272
    • /
    • 2021
  • This study's purpose is to investigate the effects of reading movie scripts aloud in non-face-to-face general English courses on international students' English ability in the COVID-19 era. A general English class was delivered once a week for 15 weeks to 47 international students at a Seoul-based university. The animated movie Tangled and its script were used as learning materials. Biweekly, students had to watch video lectures using the university's learning management system(LMS) and read scripts aloud through Zoom. In the video lectures, the teacher went over specific vocabulary and interpreted the movie scripts in easy Korean. For the second activity through Zoom, international students read the movie script aloud individually and in groups. The post-test revealed significant improvements in both reading and writing, as compared to the pre-test. Through the study's survey, participants exhibited positive attitudes in affective domains(understanding, satisfaction, interest, and recommendation).

Impact of COVID-19 Pandemic on Use of Reference Sources and Services by Postgraduates' in Kenneth Dike Library, University of Ibadan, Nigeria

  • Samson Oyeyini Akande;Olalekan Abraham Adekunjo
    • International Journal of Knowledge Content Development & Technology
    • /
    • v.13 no.1
    • /
    • pp.27-41
    • /
    • 2023
  • The outbreak of the corona virus diseases (COVID-19) in the late 2019 has affected all facets of educational system including library and information services. Reference services, an important aspect of library services are not exempted from this impact. This study therefore, investigated the impact of COVI\D-19 pandemic on the use of reference services and sources by postgraduate students using Kenneth Dike Library (KDL), University of Ibadan, as a case study. Using descriptive survey of correlational type, the study adopted the use of structured questionnaire to randomly select three hundred (300) postgraduate users of reference sources and services in KDL using online survey monkey. Of the three hundred (300) copies, two hundred and twenty three (223) copies, repre- senting 74.3% were retrieved and used for analysis. Findings revealed that, in spite of COVID-19 pandemic, most postgraduate students used Current Awareness Services (203, 91.0%, mean = 3.19), Reference Sources (202, 90.5%, mean = 3.18) and On-line Public Access Catalogue (195, 87.4%, mean = 3.13); low frequency of bibliotherapy (mean=2.22), Reader's Advisory services (mean=2.30) and inter-library loan (mean=2.13) and that COVID-19 pandemic had high impact on post- graduate students' use of reference services in Kenneth Dike Library, University of Ibadan. Based on the findings, recommendations were made that library management should consider the adoption of virtual reference services (VRS) in addition to the conventional mode of refer- ence services to enhance patronage in the COVID-19 era. The library users should also be trained on how to take advantage of the COVID-19 pandemic to learn new skills in the digital space that will eventually optimize the usage of the library remotely.

Trends in infection-related patient safety incident reporting before and during the COVID-19 pandemic in Korea (COVID-19 대유행 시기 전후 국내 감염관련 환자안전 사고 보고 현황 분석)

  • Eun-Jin Kim;Yeon-Hwan Park
    • Journal of Korean Biological Nursing Science
    • /
    • v.25 no.2
    • /
    • pp.95-104
    • /
    • 2023
  • Purpose: The purpose of this study was to analyze the trends and characteristics of infection-related patient safety incident reporting before and during the coronavirus disease 2019 (COVID-19) pandemic in Korea, and to provide basic data for preventing infection-related patient safety incidents and improving their management. Methods: A cross-sectional analysis of secondary national data (Patient Safety Reporting Data) was conducted. In total, 517 infection-related patient safety incidents reported from 2018 to 2021 were analyzed. Changes in the number of reports before and during the COVID-19 pandemic and differences in variables related to infection-related patient safety incidents were analyzed using the chi-square test and independent t-test in SPSS 29.0. Results: This study found that infection-related patient safety incidents decreased during the COVID-19 pandemic compared to before the pandemic. Furthermore, incident-related characteristics, such as the type of healthcare organization, severity of harm, and post-incident actions, changed during the COVID-19 pandemic. Conclusion: The many changes in the infection control system and practices during the COVID-19 pandemic may have contributed to a decrease in the reporting of infection-related patient safety incidents. It is hoped that longitudinal studies on patient safety incidents related to the pandemic and analytical studies on factors influencing patient safety incidents will continue to be conducted to prevent and improve patient safety incidents.

Effect of internal structures on the accuracy of 3D printed full-arch dentition preparation models in different printing systems

  • Teng Ma;Tiwu Peng;Yang Lin;Mindi Zhang;Guanghui Ren
    • The Journal of Advanced Prosthodontics
    • /
    • v.15 no.3
    • /
    • pp.145-154
    • /
    • 2023
  • PURPOSE. The objective of this study was to investigate how internal structures influence the overall and marginal accuracy of full arch preparations fabricated through additive manufacturing in different printing systems. MATERIALS AND METHODS. A full-arch preparation digital model was set up with three internal designs, including solid, hollow, and grid. These were printed using three different resin printers with nine models in each group. After scanning, each data was imported into the 3D data processing software together with the master cast, aligned and trimmed, and then put into the 3D data analysis software again to compare the overall and marginal deviation whose results are expressed using root mean square values and color maps. To evaluate the trueness of the resin model, the test data and reference data were compared, and the precision was evaluated by comparing the test data sets. Color maps were observed for qualitative analysis. Data were statistically analyzed by one-way analysis of variance and Bonferroni method was used for post hoc comparison (α = .05). RESULTS. The influence of different internal structures on the accuracy of 3D printed resin models varied significantly (P < .05). Solid and grid models showed better accuracy, while the hollow model exhibited poor accuracy. The color maps show that the resin models have a tendency to shrink inwards. CONCLUSION. The internal structure design influences the accuracy of the 3D printing model, and the effect varies in different printing systems. Irrespective of the kind of printing system, the printing accuracy of hollow model was observed to be worse than those of solid and grid models.

Analysis of Public-private Governance Based on the Cooperative Governance Model: A Case of Urban Parks in Cheongju (협력적 거버넌스 모형을 통한 민관거버넌스의 성과 분석: 청주시 도시공원 사례를 중심으로)

  • Kim, Young Bae
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.8
    • /
    • pp.403-415
    • /
    • 2022
  • This study aims to analyze the performance of public-private governance of urban parks in Cheongju-city, focusing on the 'cooperative governance' model of Ansell & Gash(2007) and find implications. The performance and limitations of the governance were analyzed using 13 success factors suggested by this model. According to the results of the analysis, four categories are satisfied: initial conditions, institutional design, leadership, and cooperation process. 8 out of 13 factors were analyzed at a 'good' level and thus this governance can be evaluated as successful one. Building trust and committed collaboration can be seen as key elements of successful governance. On the other hand, 5 factors were evaluated as 'average' because some limitations were revealed. The results of this analysis suggests that in order to improve cooperative governance, a post-implementation management system should prepared, and the inclusiveness of participation should further strengthened, and also regulations that ensure a regular forum for indirect participants and the public from the institutional design stage should be established. Although this study was analyzed based on the evaluation category of the objectively verified model, there is a limitation in that the evaluation was based on subjective judgment.

Analysis on Performance Assessment Framework of Construction Phase for Road Construction Projects (도로건설사업 시공단계 성과평가 프레임워크 연구)

  • Mun, Junbu;Lee, Kangwook;Yun, Sungmin
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.43 no.6
    • /
    • pp.801-809
    • /
    • 2023
  • Road construction projects have a long duration so cost overruns and schedule delays are occurred. However, performance assessment system that can manage and prepare for this in advance is insufficient. In addition, road construction are affected by many factors during under construction. Therefore it is necessary to conduct performance assessment considering the characteristics of roads and prepare for similar projects in the future. The purpose of this study is to provide a framework to evaluate construction phase performance and present a performance management plan using road construction information. Also, This study conducted time adjustment between the start and the finish of the project and developed performance metrics based on absolute and relative indicator. This study analyzed the cost, schedule, and changes of the road project construction process, showing the possibility of advancement of performance assessment and how to use it when planning new road construction projects.

Diabetes Detection and Forecasting using Machine Learning Approaches: Current State-of-the-art

  • Alwalid Alhashem;Aiman Abdulbaset ;Faisal Almudarra ;Hazzaa Alshareef ;Mshari Alqasoumi ;Atta-ur Rahman ;Maqsood Mahmud
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.10
    • /
    • pp.199-208
    • /
    • 2023
  • The emergence of COVID-19 virus has shaken almost every aspect of human life including but not limited to social, financial, and economic changes. One of the most significant impacts was obviously healthcare. Now though the pandemic has been over, its aftereffects are still there. Among them, a prominent one is people lifestyle. Work from home, enhanced screen time, limited mobility and walking habits, junk food, lack of sleep etc. are several factors that have still been affecting human health. Consequently, diseases like diabetes, high blood pressure, anxiety etc. have been emerging at a speed never witnessed before and it mainly includes the people at young age. The situation demands an early prediction, detection, and warning system to alert the people at risk. AI and Machine learning has been investigated tremendously for solving the problems in almost every aspect of human life, especially healthcare and results are promising. This study focuses on reviewing the machine learning based approaches conducted in detection and prediction of diabetes especially during and post pandemic era. That will help find a research gap and significance of the study especially for the researchers and scholars in the same field.

Performance Study on Odor Reduction of Indole/Skatole by Composite

  • Young-Do Kim
    • Journal of Wellbeing Management and Applied Psychology
    • /
    • v.7 no.3
    • /
    • pp.67-72
    • /
    • 2024
  • This study developed a dry composite module-type deodorization facility with Twisting airflow changes and two forms (catalyst, adsorbent) within one module. Experiments were conducted to evaluate the reduction efficiency of odor substances C8H7N and C9H9N. The device combines UV oxidation using TiO2, catalytic oxidation using MnO2, and adsorption using A/C in five different methods. Data analysis of experimental results utilized the statistical package program Python 3.12. The program applied frequency analysis of odor removal efficiency, one-way ANOVA, and post-hoc tests, with statistical significance determined by p-value to ensure reliability and validity of the measurements. Results indicated that the highest removal efficiency of C8H7N and C9H9N was achieved by the UV+A/C method, suggesting the superior effectiveness and efficiency of the developed device. Combining multiple processes and technologies within one module enhanced odor treatment efficiency compared to using a single method. The device's modularity allows for flexibility in adapting to various sewage treatment scenarios, offering easy maintenance and cost-effective deodorization. This composite reaction module device can apply multiple technologies, such as biofilters, plasma, activated carbon filters, UV-photocatalysis, and electromagnetic-chemical systems. However, this study focused on UV-photocatalysis, catalysts, and activated carbon filters. Ultimately, the research demonstrates the practical applicability of this innovative device in real sewage treatment operations, showing excellent reduction efficiency and effectiveness by integrating UV oxidation, TiO2 photocatalysis, MnO2 catalytic oxidation, and A/C adsorption within a modular system.

Trends in Antidote Technologies for Nerve Agents (신경작용제 해독 기술 동향)

  • Sungyiel Kim;Jinkwang Jeong;Dongwook Kim;Seungyul Hwang;Yoonje Cho;Yeongwook Yoon;Taein Ryu;Keunhong Jeong
    • Applied Chemistry for Engineering
    • /
    • v.35 no.4
    • /
    • pp.284-295
    • /
    • 2024
  • Chemical agents are classified according to their mechanism of toxicity into categories such as nerve agents, choking agents, blood agents, blister agents, etc. Among them, nerve agents cause toxic symptoms by binding with acetylcholinesterase (AChE) in the body, which breaks down neurotransmitters, thus disrupting the autonomic nervous system. In severe cases, this can lead to death, making it a critical chemical agent. Therefore, once it has penetrated into the human body, it is important to detoxify it swiftly. Antidotes used for detoxification include chemical medicines such as pretreatment agents, post-treatment agents, anticonvulsants, and bioscavengers. This review will address the uses, forms, components, and principles of detoxification of nerve agent antidotes and the association with bioscavengers.