2021 Third International Sustainability and Resilience Conference: Climate Change最新文献_第6页

Thermal and Morphological Characterization of Coagulation-Processed Nanocomposite of Polypropylene and Bio-nanocarbon obtained from Bamboo 竹基聚丙烯/生物纳米炭混凝法制备纳米复合材料的热性能和形貌表征

2021 Third International Sustainability and Resilience Conference: Climate Change Pub Date : 2021-11-15 DOI: 10.1109/IEEECONF53624.2021.9668152

Z. Nisa, Lee Kean Chuan, Saba Ayub, Beh Hoe Guan, F. Ahmad

引用次数: 4

Application of Machine Learning for Prediction of Early Seven-Day Strength of Concrete in Factories 机器学习在工厂混凝土早期7天强度预测中的应用

2021 Third International Sustainability and Resilience Conference: Climate Change Pub Date : 2021-11-15 DOI: 10.1109/IEEECONF53624.2021.9667970

S. A. Osman, Ayed Eid Alluqmani, M. Arifuzzaman, M. Aburizaiza, W. K. Sindi, Md Shah Alam

{"title":"Application of Machine Learning for Prediction of Early Seven-Day Strength of Concrete in Factories","authors":"S. A. Osman, Ayed Eid Alluqmani, M. Arifuzzaman, M. Aburizaiza, W. K. Sindi, Md Shah Alam","doi":"10.1109/IEEECONF53624.2021.9667970","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9667970","url":null,"abstract":"In this study, several machine learning techniques were applied to predict the compressive strength of concrete on the 7th day. For the current research, samples were collected from 60 different concrete mixer plants in the Eastern province of Saudi Arabia. A total of 12 to 15 sets of samples were collected from each plant. Each set consisted of 6 cylinders; therefore, a database was established from tests on more than 567 samples. The data was used to validate and train three machine learning (ML) models: Credal Decision Trees (CDT), Multi-Layer Perceptron (MLP) and Naïve Bayes Classifiers. Modelling related to ML (specifically, CDT, MLP and Naïve Bayes) is used in the current study to see the possibility of predicting the compressive strength of concrete at 7 days. The Naïve Bayes performed the best with respect to prediction, Kappa stat and time consumption. The results show that Naive Bayes had the higher Kappa stat compared to CDT and MLP, indicating that NB has the best match between the trained and tested data. In addition, NB had the highest F-Measure score, which shows high precision. The results also show that NB has the highest Correctly Classified Instance among the algorithms tested, with respect to the time needed to build the model.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128340671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation of a novel drying technique in tableware production process 一种新型餐具干燥工艺的研究

2021 Third International Sustainability and Resilience Conference: Climate Change Pub Date : 2021-11-15 DOI: 10.1109/IEEECONF53624.2021.9667975

Haneen Hassan, Sherif M. Elhady, I. Fahim

引用次数: 0

Biodiversity and occurrence of plant viruses over four decades: Case study for Iraq 四十年来植物病毒的生物多样性和发生:伊拉克案例研究

2021 Third International Sustainability and Resilience Conference: Climate Change Pub Date : 2021-11-15 DOI: 10.1109/IEEECONF53624.2021.9668128

M. Adhab, N. Al-Kuwaiti, R. Al-ani

{"title":"Biodiversity and occurrence of plant viruses over four decades: Case study for Iraq","authors":"M. Adhab, N. Al-Kuwaiti, R. Al-ani","doi":"10.1109/IEEECONF53624.2021.9668128","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9668128","url":null,"abstract":"During the past 35 years, Iraq has invested a tremendous amount of resources to develop a modern agricultural system. This effort has resulted in a leap, particularly, in cereal and vegetable production that met up to 70% of the nation's demands in 1990s. Since 2003, the percent has dropped to score 35% in the year 2010 due to political unrest. Although the agricultural system has been extremely affected in the past 15 years, farmers have been struggling to keep on their business and to contribute to the Iraqi market against high competent producers that include big agricultural neighboring countries like Turkey, Iran and Syria. However, there is another important issue tackling the production and has not been well documented in Iraq. This issue is the plant disease and viral diseases in particular, which has been a limiting factor for sustainable production of many important crops in Iraq. This article presents a comprehensive view on the plant viruses, their importance, and distribution in Iraq. Collectively, there are 43 different viruses reported countrywide. Most studies have been published in local journals, which are published in Arabic. The data presented in this article were gleaned from literatures publicly available from local and international publications as well as conferences and official reports. We are here abstracting the information about virus diseases in Iraq for the first time in order to present it internationally rather than locally.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124158099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Identification and evaluation of barriers and drivers to sustainable construction in China 中国可持续建设的障碍与驱动因素的识别与评价

2021 Third International Sustainability and Resilience Conference: Climate Change Pub Date : 2021-11-15 DOI: 10.1109/IEEECONF53624.2021.9668070

M. Sajjad, Hu Anfeng, A. H. Qureshi, Liao Yonghua

{"title":"Identification and evaluation of barriers and drivers to sustainable construction in China","authors":"M. Sajjad, Hu Anfeng, A. H. Qureshi, Liao Yonghua","doi":"10.1109/IEEECONF53624.2021.9668070","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9668070","url":null,"abstract":"The rapid economic development of China is also a threat to environmental sustainability, there is an urgent need to boost the environment friendly construction to cope with the rising issues. In this regard, a questionnaire-based survey was conducted to identify and evaluate the major barriers and drivers to sustainable construction (SC) in China. Moreover, SC experts were interviewed to get an insight of where these barriers are likely to cause hinderance during the construction phases and where the drivers can help up to some extent to tackle the problems. The overall aim of the research was to identify barriers that need to be overcome so that progress can be made towards the adoption of sustainable development. The results show that, lack of clear benefits from SC; lack of technical knowledge or trainings; concerns about durability and performance; affordability or financing; and de-lay in decision making; are the top five barriers with extremely high impact to slowdown the race towards sustainability in construction. On the other hand, financial incentives; more demonstration on policies and procedures; developing regulatory mechanism; client demand; and legislation or legal requirement; are the top five drivers which can spur the green buildings construction in China.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115558519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implementation Challenges of Automated Construction Progress Monitoring Under Industry 4.0 Framework Towards Sustainable Construction 面向可持续建筑的工业4.0框架下自动化施工进度监控的实施挑战

2021 Third International Sustainability and Resilience Conference: Climate Change Pub Date : 2021-11-15 DOI: 10.1109/IEEECONF53624.2021.9668074

A. H. Qureshi, W. Alaloul, B. Manzoor, S. Saad, A. M. Alawag, K. Alzubi

{"title":"Implementation Challenges of Automated Construction Progress Monitoring Under Industry 4.0 Framework Towards Sustainable Construction","authors":"A. H. Qureshi, W. Alaloul, B. Manzoor, S. Saad, A. M. Alawag, K. Alzubi","doi":"10.1109/IEEECONF53624.2021.9668074","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9668074","url":null,"abstract":"Industry 4.0 and progress monitoring via digital technologies for sustainable construction projects are greenfield areas among the research community. However, special consideration is required towards the effective implementation of the Industry 4.0 theme in automated construction progress monitoring processes as an emerging concept, as it leads to sustainable construction. This study intends to identify the macro-level and the micro-level implementation challenges towards sustainable automated progress monitoring processes under the Industry 4.0 framework. The Industry 4.0 operational framework was developed for automated construction progress monitoring to review the whole process, based on the collected literature. This study divides the automated progress monitoring process into three categories, and challenges were highlighted separately, based on the specific mode of operation. The study also highlights the Industry 4.0 challenges in the execution of automated construction progress monitoring and the remedial actions for procedural improvements.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124541560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A Numerical Study of High Hydrostatic Pressure Using CFD 基于CFD的高静水压力数值研究

2021 Third International Sustainability and Resilience Conference: Climate Change Pub Date : 2021-11-15 DOI: 10.1109/IEEECONF53624.2021.9668153

Ghani Albaali, F. Al-Naima

引用次数: 0

A case study on Green Buildings and its applicability in Bahrain 巴林绿色建筑案例研究及其适用性

2021 Third International Sustainability and Resilience Conference: Climate Change Pub Date : 2021-11-15 DOI: 10.1109/IEEECONF53624.2021.9668090

Abdulla Sayed Ahmed, Abdulla Almanea, Ahmed Alsuliman, Abdulla Alsuliman, M. Ismail

{"title":"A case study on Green Buildings and its applicability in Bahrain","authors":"Abdulla Sayed Ahmed, Abdulla Almanea, Ahmed Alsuliman, Abdulla Alsuliman, M. Ismail","doi":"10.1109/IEEECONF53624.2021.9668090","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9668090","url":null,"abstract":"The environment is being heavily affected due to human actions and increased urbanization. It is well known that with the increase of conventional buildings, the risk is higher on the environment due to its unsustainable nature and the way it drains resources and harms the environment. This case study paper aims to show the importance of moving from conventional buildings into green buildings. Specifically, it provides information needed to understand what green buildings are and why they are better options than conventional buildings. Green buildings are structures that focus on not harming the environment and draining resources. The most common criteria to measure how green a building is LEED (Leadership in Energy and Environmental Design). A case study was conducted on an existing building in Bahrain to illustrate green buildings' applicability. A comparison was made between conventional buildings and green buildings, and the method to compare was LEED crediting system. This case study proved that conventional buildings consume much more resources, and green buildings are considered a better option in terms of all aspects related to the environment, energy, and cost. The case study showed that green buildings have a lower cost, less material waste, and less energy consumption. As a recommendation, the concept of green buildings should be considered when constructing new buildings and applied to existing buildings.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127364854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An effective predictive model for daily evapotranspiration based on a limited number of meteorological parameters 基于有限数量气象参数的日蒸散量有效预测模型

2021 Third International Sustainability and Resilience Conference: Climate Change Pub Date : 2021-11-15 DOI: 10.1109/IEEECONF53624.2021.9668072

M. Hameed, Faidhalrahman Khaleel, M. Abed, Deiaaldeen Khaleel, M. Alomar

引用次数: 2

IoT-based Smart Water Quality Monitoring System for Malaysia 马来西亚物联网智能水质监测系统

2021 Third International Sustainability and Resilience Conference: Climate Change Pub Date : 2021-11-15 DOI: 10.1109/IEEECONF53624.2021.9668120

Kamalanathan Shanmugam, Muhammad Ehsan Rana, Roshenpal Singh Jaspal Singh

引用次数: 6