• 제목/요약/키워드: Abu Dhabi

검색결과 39건 처리시간 0.018초

Effects of micromechanical models on the dynamics of functionally graded nanoplate

  • Tao Hai;A. Yvaz;Mujahid Ali;Stanislav Strashnov;Mohamed Hechmi El Ouni;Mohammad Alkhedher;Arameh Eyvazian
    • Steel and Composite Structures
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    • 제48권2호
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    • pp.191-206
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    • 2023
  • The present research investigates how micromechanical models affect the behavior of Functionally Graded (FG) plates under different boundary conditions. The study employs diverse micromechanical models to assess the effective material properties of a two-phase particle composite featuring a volume fraction of particles that continuously varies throughout the thickness of the plate. Specifically, the research examines the vibrational response of the plate on a Winkler-Pasternak elastic foundation, considering different boundary conditions. To achieve this, the governing differential equations and boundary conditions are derived using Hamilton's principle, which is based on a four-variable shear deformation refined plate theory. Additionally, the Galerkin method is utilized to compute the plate's natural frequencies. The study explores how the plate's natural frequencies are influenced by various micromechanical models, such as Voigt, Reuss, Hashin-Shtrikman bounds, and Tamura, as well as factors such as boundary conditions, elastic foundation parameters, length-to-thickness ratio, and aspect ratio. The research results can provide valuable insights for future analyses of FG plates with different boundaries, utilizing different micromechanical models.

Refashioning Cities in the Middle East: The Case of Dubai

  • Kheir Al-Kodmany
    • 국제초고층학회논문집
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    • 제13권1호
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    • pp.11-32
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    • 2024
  • In recent years, urban landscapes across the globe have undergone a remarkable transformation marked by a substantial surge in skyscraper development. This paper offers a comprehensive overview of the contemporary evolution of tall buildings, with a particular emphasis on the Middle East. It surveys tall building development in the ten "tallest cities" across the Middle East, including Dubai, Doha, Abu Dhabi, Sharjah, Riyadh, Manama, Tel Aviv, Kuwait, Mecca, and Jeddah, while listing the tallest ten buildings in each city. The focus sharpens on Dubai, UAE, serving as a compelling case study that vividly illustrates the city's swift metamorphosis from a low-rise to a high-rise urban center. Through meticulous examination, the study aims to unveil the key drivers propelling the construction of the world's tallest buildings, asserting that globalization factors play a pivotal role in fostering this transformative shift. The impetus behind this surge is rooted in the aspiration to project a modern and progressive image on the global stage. With Dubai at the forefront, cities in the Middle East strategically endeavor to reshape their international image and reclaim historical grandeur through ambitious skyscraper projects.

국내·외 초음파사의 아랍에미리트 취업 과정에 대한 고찰 (Analysis of Healthcare Employment into United Arab Emirates : Focused on Korean and Overseas Sonographers)

  • 염진영;김정수
    • 대한방사선기술학회지:방사선기술과학
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    • 제43권4호
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    • pp.281-288
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    • 2020
  • This study was intented as an investigation of the employment process into UAE for Korean and overseas sonographers to understand requirements for working abroad in regards to primary education curriculum and employment expansion abroad. A total of 10 candidates are selected who were working together with a job title of a cardiac sonographer in the same department under one hospital in Abu Dhabi, UAE. The candidates had clinical experience over 2 years in other countries after graduation and for 1 year at least in UAE. Data was collected through in-depth interviews, a web search and literature reviews. We analyzed the process regarding their curriculums studying in colleges, educational courses and certificates related medical fields. The findings were created with four essential themes: first, there are specific colleges or diploma courses corresponding academic major in United states, Portugal, Turkey, India and Pakistan. Secondly, healthcare professions were systemized by certifying as a specialist relevant medical fields. Thirdly, it is mandatory to be employed in UAE that are clinical experience for 2 years at least after graduation of specific courses. Lastly, It is required to work in UAE that is a license of healthcare authority under each state by taking a national examination or transferring own certificates to a current license in UAE. In conclusion, the results indicate that employing process for healthcare professionals depends on the educational requirements or clinical experience accumulated due to the various systems to be certified in each country. We believe that this study suggests experimental information for Korean job seekers considering working abroad in the medical ultrasound fields.

Treatment Costs and Factors Associated with Glycemic Control among Patients with Diabetes in the United Arab Emirates

  • Lee, Seung-Mi;Song, Inmyung;Suh, David;Chang, Chongwon;Suh, Dong-Churl
    • Journal of Obesity & Metabolic Syndrome
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    • 제27권4호
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    • pp.238-247
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    • 2018
  • Background: We aimed to estimate the proportion of patients with diabetes who achieved target glycemic control, to estimate diabetes-related costs attributable to poor control, and to identify factors associated with them in the United Arab Emirates. Methods: This retrospective cohort study used administrative claims data handled by Abu Dhabi Health Authority (January 2010 to June 2012) to determine glycemic control and diabetes-related treatment costs. A total of 4,058 patients were matched using propensity scores to eliminate selection bias between patients with glycosylated hemoglobin (HbA1c) <7% and HbA1c ${\geq}7%$. Diabetes-related costs attributable to poor control were estimated using a recycled prediction method. Factors associated with glycemic control were investigated using logistic regression and factors associated with these costs were identified using a generalized linear model. Results: During the 1-year follow-up period, 46.6% of the patients achieved HbA1c <7%. Older age, female sex, better insurance coverage, non-use of insulin in the index diagnosis month, and non-use of antidiabetic medications during the follow-up period were significantly associated with improved glycemic control. The mean diabetes-related annual costs were $2,282 and $2,667 for patients with and without glycemic control, respectively, and the cost attributable to poor glycemic control was $172 (95% confidence interval [CI], $164-180). The diabetes-related costs were lower with mean HbA1c levels <7% (cost ratio, 0.94; 95% CI, 0.88-0.99). The costs were significantly higher in patients aged ${\geq}65$ years than those aged ${\leq}44$ years (cost ratio, 1.45; 95% CI, 1.25-1.70). Conclusion: More than 50% of patients with diabetes had poorly controlled HbA1c. Poor glycemic control may increase diabetes-related costs.

A Model of Artificial Intelligence in Cyber Security of SCADA to Enhance Public Safety in UAE

  • Omar Abdulrahmanal Alattas Alhashmi;Mohd Faizal Abdullah;Raihana Syahirah Abdullah
    • International Journal of Computer Science & Network Security
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    • 제23권2호
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    • pp.173-182
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    • 2023
  • The UAE government has set its sights on creating a smart, electronic-based government system that utilizes AI. The country's collaboration with India aims to bring substantial returns through AI innovation, with a target of over $20 billion in the coming years. To achieve this goal, the UAE launched its AI strategy in 2017, focused on improving performance in key sectors and becoming a leader in AI investment. To ensure public safety as the role of AI in government grows, the country is working on developing integrated cyber security solutions for SCADA systems. A questionnaire-based study was conducted, using the AI IQ Threat Scale to measure the variables in the research model. The sample consisted of 200 individuals from the UAE government, private sector, and academia, and data was collected through online surveys and analyzed using descriptive statistics and structural equation modeling. The results indicate that the AI IQ Threat Scale was effective in measuring the four main attacks and defense applications of AI. Additionally, the study reveals that AI governance and cyber defense have a positive impact on the resilience of AI systems. This study makes a valuable contribution to the UAE government's efforts to remain at the forefront of AI and technology exploitation. The results emphasize the need for appropriate evaluation models to ensure a resilient economy and improved public safety in the face of automation. The findings can inform future AI governance and cyber defense strategies for the UAE and other countries.

Effect of Sulfation on Physicochemical Properties of ZrO2 and TiO2 Nanoparticles

  • Wijaya, Karna;Pratika, Remi Ayu;Fitri, Edhita Rahmawati;Prabani, Prisnu Fadilah;Candrasasi, Yufinta;Saputri, Wahyu Dita;Mulijani, Sri;Patah, Aep;Wibowo, Arief Cahyo
    • 한국재료학회지
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    • 제32권3호
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    • pp.125-131
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    • 2022
  • Effect of sulfation processes on the physicochemical properties of ZrO2 and TiO2 nanoparticles were thoroughly investigated. SO4/ZrO2 and SO4/TiO2 catalysts were synthesized to identify the acidity character of each. The wet impregnation method of ZrO2 and TiO2 nanoparticles was employed using H2SO4 with various concentrations of 0.5, 0.75, and 1 M, followed by calcination at 400, 500, and 600 ℃ to obtain optimum conditions of the catalyst synthesis process. The highest total acidity was found when using 1 M SO4/ZrO2-500 and 1 M SO4/TiO2-500 catalysts, with total acidity values of 2.642 and 6.920 mmol/g, respectively. Sulfation increases titania particles via agglomeration. In contrast, sulfation did not practically change the size of zirconia particles. The sulfation process causes color of both catalyst particles to brighten due to the presence of sulfate. There was a decrease in surface area and pore volume of catalysts after sulfation; the materials' mesoporous structural properties were confirmed. The 1 M SO4/ZrO2 and 1 M SO4/TiO2 catalysts calcined at 500 ℃ are the best candidate heterogeneous acid catalysts synthesized in thus work.

AUTOMATIC DATA COLLECTION TO IMPROVE READY-MIXED CONCRETE DELIVERY PERFORMANCE

  • Pan Hao;Sangwon Han
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.187-194
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    • 2011
  • Optimizing truck dispatching-intervals is imperative in ready mixed concrete (RMC) delivery process. Intervals shorter than optimal may induce queuing of idle trucks at a construction site, resulting in a long delivery cycle time. On the other hand, intervals longer than optimal can trigger work discontinuity due to a lack of available trucks where required. Therefore, the RMC delivery process should be systematically scheduled in order to minimize the occurrence of waiting trucks as well as guarantee work continuity. However, it is challenging to find optimal intervals, particularly in urban areas, due to variations in both traffic conditions and concrete placement rates at the site. Truck dispatching intervals are usually determined based on the concrete plant managers' intuitive judgments, without sufficient and reliable information regarding traffic and site conditions. Accordingly, the RMC delivery process often experiences inefficiency and/or work discontinuity. Automatic data collection (ADC) techniques (e.g., RFID or GPS) can be effective tools to assist plant managers in finding optimal dispatching intervals, thereby enhancing delivery performance. However, quantitative evidence of the extent of performance improvement has rarely been reported to data, and this is a central reason for a general reluctance within the industry to embrace these techniques, despite their potential benefits. To address this issue, this research reports on the development of a discrete event simulation model and its application to a large-scale building project in Abu Dhabi. The simulation results indicate that ADC techniques can reduce the truck idle time at site by 57% and also enhance the pouring continuity in the RMC delivery process.

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Predicting the splitting tensile strength of manufactured-sand concrete containing stone nano-powder through advanced machine learning techniques

  • Manish Kewalramani;Hanan Samadi;Adil Hussein Mohammed;Arsalan Mahmoodzadeh;Ibrahim Albaijan;Hawkar Hashim Ibrahim;Saleh Alsulamy
    • Advances in nano research
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    • 제16권4호
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    • pp.375-394
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    • 2024
  • The extensive utilization of concrete has given rise to environmental concerns, specifically concerning the depletion of river sand. To address this issue, waste deposits can provide manufactured-sand (MS) as a substitute for river sand. The objective of this study is to explore the application of machine learning techniques to facilitate the production of manufactured-sand concrete (MSC) containing stone nano-powder through estimating the splitting tensile strength (STS) containing compressive strength of cement (CSC), tensile strength of cement (TSC), curing age (CA), maximum size of the crushed stone (Dmax), stone nano-powder content (SNC), fineness modulus of sand (FMS), water to cement ratio (W/C), sand ratio (SR), and slump (S). To achieve this goal, a total of 310 data points, encompassing nine influential factors affecting the mechanical properties of MSC, are collected through laboratory tests. Subsequently, the gathered dataset is divided into two subsets, one for training and the other for testing; comprising 90% (280 samples) and 10% (30 samples) of the total data, respectively. By employing the generated dataset, novel models were developed for evaluating the STS of MSC in relation to the nine input features. The analysis results revealed significant correlations between the CSC and the curing age CA with STS. Moreover, when delving into sensitivity analysis using an empirical model, it becomes apparent that parameters such as the FMS and the W/C exert minimal influence on the STS. We employed various loss functions to gauge the effectiveness and precision of our methodologies. Impressively, the outcomes of our devised models exhibited commendable accuracy and reliability, with all models displaying an R-squared value surpassing 0.75 and loss function values approaching insignificance. To further refine the estimation of STS for engineering endeavors, we also developed a user-friendly graphical interface for our machine learning models. These proposed models present a practical alternative to laborious, expensive, and complex laboratory techniques, thereby simplifying the production of mortar specimens.

CCS 기술의 CDM 사업화 수용에 대한 방식과 절차 분석 및 대응방안 고찰 (Analysis of Modality and Procedures for CCS as CDM Project and Its Countmeasures)

  • 노현정;허철;강성길
    • 한국해양환경ㆍ에너지학회지
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    • 제15권3호
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    • pp.263-272
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    • 2012
  • 유엔기후변화협약회의(UNFCCC)에서는 이산화탄소 포집 및 저장(Carbon dioxide capture and storage, CCS)의 부족한 경제성 확보 및 개발도상국으로의 확대의 하나의 방편으로 CCS를 청정개발체제(Clean Development Mechanism, CDM)로 수용하는 것에 대한 논의가 2005년부터 진행되었다. CCS의 CDM 수용과 관련하여 CCS 기술보유국 및 산유국과 개발도상국간의 의견차이로 인하여 합의를 이루지 못하고 논의가 거듭되다, '10.12월 칸쿤 회의결과, CCS의 CDM 수용 가능성에 대해 합의가 이루어졌다(CMP[2010], Decision7/CMP.6). 당시 당사국들은 CCS의 CDM 수용을 위해 방식 및 절차에 관련한 주요 이슈, 즉, 1) 저장지 선정, 2) 모니터링, 3) 모델링, 4) 경계, 5) 누수 측정 및 계산, 6) 월경 효과, 7) 연계프로젝트 배출 계산, 8) 위해성 및 안전성 평가, 9) CDM 체제하의 책임 등에 대한 합의를 우선 요구하였으며, 동기간 동안 과학 기술자문부속기구(SBSTA)에서는 의견 교환 및 워크숍 개최 등을 통해 방식 및 절차에 대한 초안을 마련하였다. 이 초안을 바탕으로 '11년 12월 남아공 더반 회의에서 마침내 CCS기술을 CDM으로 수용키로 최종 합의하였다(CMP[2011], Decision-/CMP.7). CCS의 CDM 수용은 단순히 경제적 인센티브의 제공이라는 의미를 넘어 CCS 기술이 국제사회에서 이산화탄소 저감기술로 공식적으로 인정받았다는 것을 의미하기에 국내의 관련 기술 및 산업뿐만 아니라 법 정책적 측면에서도 큰 영향을 미칠 것으로 보인다. 이에 본 논문에서는 각 이슈들에 대한 국제적 논의 동향을 분석하고, 이를 통해 현재 우리나라가 계획하고 있는 CCS 실용화를 위해 선행되어야 할 정책적 고려 사항을 도출하였다. 금번에 채택된 CCS기술의 CDM 체제 방식 및 절차에 따르면, 우리나라와 같은 비부속서 I 당사국도 방식 및 절차에서 제시한 법 제도를 수립할 경우 CCS CDM 사업 활동 수행이 가능하다. 현재 우리나라는 상위법인 '저탄소 녹색성장 기본법'이 제정되어 있으나 CCS CDM 방식과 절차에서 요구하고 있는 세부 법 제도 프레임웍은 미비한 상황이다. 따라서 단기적으로 포집, 수송, 저장 분야 별로 관련법 개정을 통해 CCS CDM 기반 조기 마련과 함께 장기적으로는 단일법 제정을 포함한 CDM 체제 하의 CCS 사업관련 종합적 법제도 기반을 준비할 것을 제언하고자 한다.