scholarly journals Big data technology in construction

2019 ◽  
Vol 97 ◽  
pp. 01032 ◽  
Author(s):  
Nikolay Garyaev ◽  
Venera Garyaeva
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Life Cycle ◽  
Construction Industry ◽  
Smart Cities ◽  
Entire Life ◽  
Entire Life Cycle ◽  
Intelligent Buildings ◽  
Big Data Technology

The article presents the results of the analysis of the use of large amounts of data in the construction industry, new trends such as BIM, IOT, cloud computing, intelligent buildings and smart cities with great prospects for application. These problems are related to the presence of huge amounts of data produced by the construction industry during the entire life cycle of a building, which are not fully used for optimizing processes and making decisions in construction.

scholarly journals Measuring the Sustainable Benefits of Modular and Offsite Construction Delivery Techniques Against Conventional On-Site Construction

2016 ◽  
Author(s):  
Mike Benson ◽  
Jeff Rankin
Keyword(s):  
Life Cycle ◽  
Construction Industry ◽  
Energy Use ◽  
Health And Safety ◽  
Business Case ◽  
Efficiency Score ◽  
Construction Operations ◽  
Entire Life ◽  
Entire Life Cycle ◽  
Worker Health And Safety

It is well known that the use of modular and offsite construction (MOC) techniques for project delivery can yield significant economic, environmental, and social benefits throughout a projectäó»s lifetime. Despite these benefits highlighted by the MOC community, there exists a need to objectively measure the sustainable benefits and to integrate them in a comprehensive framework to compare delivery alternatives. The Sustainable Efficiency (SE) model is presented and used to compare the construction of a 2-storey hotel using two delivery methods: i) a conventional onsite construction (COC); and ii) modular and offsite construction (MOC). Sustainable criteria identified in the model originate from ISOäó»s 21929-2 äóìFramework for sustainability indicator for civil engineering worksäó�. These criteria are used to encompass the entire life-cycle of the project, from production and extraction of materials, through construction, operations and maintenance, to the end-of-life or decommissioning stage. MOC presents a significant amount of benefits throughout the entire life-cycle of the project and the SE model presented highlights and takes these benefits into account. Recognizing these benefits can help build the business case for MOC, going past the prescriptive, lowest initial cost, and onsite construction delivery that is widely used in the Canadian construction industry today. Allowing for both the quantitative and qualitative benefits to be included in an objective and metric-based model can address the challenge of making changes to conventional procurement methods, and will strengthen and promote the use of MOC in the construction industry. It was found that, through the use of MOC, the hotel obtained a positive 16.8% sustainable efficiency score over a conventional stick build method. Significant benefits were a result of reduced greenhouse gas emissions, non-renewable energy use, waste production, and worker health and safety. The single disadvantage determined was the social criteria äóìJob Creationäó� where there was a reduced quantity of worker hours required to complete the project.

Epoxidation of juvenile hormone was a key innovation improving insect reproductive fitness

2021 ◽  
Vol 118 (45) ◽  
pp. e2109381118
Author(s):  
Marcela Nouzova ◽  
Marten J. Edwards ◽  
Veronika Michalkova ◽  
Cesar E. Ramirez ◽  
Marnie Ruiz ◽  
...  
Keyword(s):  
Life Cycle ◽  
Juvenile Hormone ◽  
Reproductive Performance ◽  
Reproductive Fitness ◽  
Fitness Cost ◽  
Evolutionary Significance ◽  
Methyl Farnesoate ◽  
Entire Life ◽  
Entire Life Cycle ◽  
Key Innovation

Methyl farnesoate (MF) plays hormonal regulatory roles in crustaceans. An epoxidated form of MF, known as juvenile hormone (JH), controls metamorphosis and stimulates reproduction in insects. To address the evolutionary significance of MF epoxidation, we generated mosquitoes completely lacking either of the two enzymes that catalyze the last steps of MF/JH biosynthesis and epoxidation, respectively: the JH acid methyltransferase (JHAMT) and the P450 epoxidase CYP15 (EPOX). jhamt−/− larvae lacking both MF and JH died at the onset of metamorphosis. Strikingly, epox−/− mutants, which synthesized MF but no JH, completed the entire life cycle. While epox−/− adults were fertile, the reproductive performance of both sexes was dramatically reduced. Our results suggest that although MF can substitute for the absence of JH in mosquitoes, it is with a significant fitness cost. We propose that MF can fulfill most roles of JH, but its epoxidation to JH was a key innovation providing insects with a reproductive advantage.

Rice metabolic regulatory network spanning its entire life cycle

2021 ◽  
Author(s):  
Chenkun Yang ◽  
Shuangqian Shen ◽  
Shen Zhou ◽  
Yufei Li ◽  
Yuyuan Mao ◽  
...  
Keyword(s):  
Life Cycle ◽  
Regulatory Network ◽  
Entire Life ◽  
Entire Life Cycle

Assessment of driving quality and its impact on changes in the technical condition of self-driving cars

2020 ◽  
pp. 24-26
Keyword(s):  
Artificial Intelligence ◽  
Life Cycle ◽  
Computer Technology ◽  
Technical Condition ◽  
Entire Life ◽  
Entire Life Cycle ◽  
Machine Maintenance ◽  
Current Task ◽  
Self Driving Cars

The article describes the current task of developing and improving existing technologies for machine maintenance throughout the entire life cycle. The use of modern achievements in the field of computer technology, digitization of information, as well as the development of artificial intelligence technologies, will allow you to get new scientific and engineering results aimed at managing the technical condition of machines in operation.

scholarly journals Assessment of the Logistic System of Fuel Life Cycle Using the LCA Method

2016 ◽  
Vol 20 (3) ◽  
pp. 125-134
Author(s):  
Aleksander Marek ◽  
Piotr Kardasz ◽  
Mikolaj Karpinski ◽  
Volodymyr Pohrebennyk
Keyword(s):  
Life Cycle ◽  
Rapeseed Oil ◽  
Functional Unit ◽  
Operation Time ◽  
Diesel Oil ◽  
Butyl Alcohol ◽  
Oil Refining ◽  
Entire Life ◽  
Entire Life Cycle ◽  
Management Processes

AbstractThis paper presents the logistic system of fuel life cycle, covering diesel oil and the mixture of rapeseed oil and butanol (2:3 ratio), using the Life-Cycle Assessment (LCA) method. This method is a technique in the field of management processes with a view to assessing the potential environmental hazards. Our intention was to compare the energy consumption needed to produce each of the test fuels and emissions of selected substances generated during ithe production process. The study involved 10,000 liters of diesel and the same amount of rapeseed oil and butanol mixture (2:3 ratio). On the basis of measurements the following results were obtained. To produce a functional unit of diesel oil (i.e. 10,000 liters) it is necessary to extract 58.8 m3 of crude oil. The entire life cycle covering the consumption of 10,000 liters of diesel consumes 475.668 GJ of energy and causes the emission to air of the following substances: 235.376 kg of COx, 944.921 kg of NOx, 83.287 kg of SOx. In the ease of a functional unit, to produce a mixture of rapeseed oil and butanol (2:3 ratio) 10,000 kg of rapeseed and 20,350 kg of straw should be used. The entire life cycle of 10,000 liters of a mixture of rapeseed oil and butyl alcohol (2:3 ratio) absorbs 370.616 GJ of energy, while emitting the following air pollutants: 105.14832 kg of COx, 920.03124 kg of NOx, 0.162 kg of SOx. Analysis of the results leads to the conclusion that it is oil refining which is the most energy-intensive and polluting process in the life cycle of diesel. The process consumes 41.4 GJ of energy, and causes a significant emission of sulfur oxides (50 kg). In the production of fuel that is a mixture of rapeseed oil and butyl alcohol (2:3 ratio), rape production is the most energy-intensive manufacturing process is (absorbs 53.856 GJ of energy). This is due to the long operation time of the farm tractor and combine harvester. The operation of these machines leads also to the emission of a significant amount of pollution in the form of COx (2.664 kg) and NOx (23.31 kg).

scholarly journals IoT Based Smart Garage Vehicle Washing Water Nestor

2020 ◽  
Vol 8 (5) ◽  
pp. 3521-3525
Keyword(s):  
Water Pollution ◽  
Cloud Computing ◽  
Big Data ◽  
Smart Cities ◽  
Human Life ◽  
Research Paper ◽  
Proper Treatment ◽  
Computing Services ◽  
Cloud Computing Services ◽  
The Government

Water is critical part of the human life. In most of the developing nation, water pollution is one of the bigger mess. These issues can be handled strictly by the Government organization, by implementing tougher action rules to the industries, were the water are released without any proper treatment. Where each industries (or) smart cities, should take up self-initiative responsibility for proper treatment of the polluted out flow water. In our research paper, we are not focusing on the wider area of the water pollution; our focus is limited within the smart cities vehicle washing garages. In very smart cities, were a regular multiple vehicles washing is done in the garage, our research paper will focus on the out flow of the populated water from these vehicle washing garages. Our design and implantation process is simpler and straightforward approach. Were we will monitor of the water quality; and how much level of the water is populated, and it requires at what level of the treatment. These process can be easily automated using the multiple IOT (internet of things) based sensors, the data can be streamed into the Big Data lake (or) it can be directly pushed into the cloud computing services for generating the real time graphs and analyses report instantly. These data collected in the Big Data lake (or) cloud computing services, can be used for detail analyses for research purpose. We will incorporate the block chain concept to keep track of the smart garage location address and the detail information of the number of garage in the smart cities details in the form of the blocks.

scholarly journals Reproductive diapause in Nysius huttoni White (Heteroptera Lygaeidae)

2002 ◽  
Vol 55 ◽  
pp. 308-311
Author(s):  
X.Z. He ◽  
Q. Wang ◽  
A. Carpenter
Keyword(s):  
Life Cycle ◽  
Immature Stages ◽  
Life Stages ◽  
Reproductive Diapause ◽  
Entire Life ◽  
Entire Life Cycle ◽  
Adult Females ◽  
Critical Photoperiod

The induction of reproductive diapause of Nysius huttoni was studied in the laboratory at 20 1C and 60 10 RH under a series of photoperiod regimes 168 h 1410 h 1212 h and 1014 h lightdark Reproductive diapause was considered to have occurred if females failed to lay eggs for 50 days after emergence The sensitivity of different life stages to diapauseinducing photoperiods varied When newly emerged females whose immature stages had been reared at 168 h were transferred to 1014 h and 1212 h 467 and 793 of them entered reproductive diapause respectively However when fifth instar nymphs were transferred from 168 h to 1014 h and 1212 h 100 of adult females entered reproductive diapause If the entire life cycle was maintained at 1014 h and 1212 h 667 and 400 of females entered reproductive diapause respectively The critical photoperiod for reproductive diapause was estimated to lie between 1311 h and 135105 h

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

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