The global economy is at a turning point when the raw material is less and less about demand and harder to obtain. Moreover, the reduction of dioxide emissions carbon is mandatory in the context of climate change. At ...
The global economy is at a turning point when the raw material is less and less about demand and harder to obtain. Moreover, the reduction of dioxide emissions carbon is mandatory in the context of climate change. At the same time, the waste in construction and other economic areas is increasingly difficult to manage because its sorting and recycling are not yet in line with the rules imposed by the European community and assumed by each state. In the current context of the need to reduce carbon dioxide emissions more and more, materials used for thermal protection of buildings must be obtained if possible from recyclable materials with low thermal conductivity and minimum energy consumption. In this paper, we propose a comparative analysis of the thermal conductivity obtained experimentally of some synthetic wood boards with variable content of recyclable waste (polystyrene, fly ash, sunflower husks, cement, polymer, etc ) using a double-climate chamber, with those obtained by numerical modeling using the finite element method. Experimental planning of synthetic wood boards was carried out with the help of the design of the experiment method which allowed a decrease in the number of experiments necessary for such investigations but with maximum efficiency on the results of the physicomechanical characteristics obtained. The results obtained by the two methods were very conclusive surrounding this material in the category of insulating ones with thermal conductivity between 0.071 and 0.107. We can say that synthetic wood obtained with variable addition of different compatible waste can contribute to more efficient use of this and implicitly to the decrease of the effect on the environment.
Commonly, rainfall prediction uses historical data or the time series data. But there are many factors can affect rainfall such as temperature and humidity. Therefore, an approach is needed that can model forecasting ...
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A formal computational model is presented for the sequential kernel of an automotive embedded real-time operating system, which provides infrastructural mechanism to support the isolation between applications and the ...
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computer muscle modelling is used for many pur-poses, from injury recovery and treatment of chronic diseases to disease prediction. These predictions often involve computing the muscle's internal forces to determi...
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computer muscle modelling is used for many pur-poses, from injury recovery and treatment of chronic diseases to disease prediction. These predictions often involve computing the muscle's internal forces to determine further how fast something may happen (e.g. how quickly the muscle joint wears out). During the simulation of such a model, collisions of soft and rigid bodies inevitably occur. This paper tests various state-of-the-art collision handling methods: voxelisation, one using Signed Distance Fields and one based on Bounding Volume Hierarchies. These methods are tested in the context of muscle modelling with the previously proposed position-based dynamics approach. Compared to the other options, using the Discregrid library for Signed Distance Field generation shows the best results, mainly due to its accuracy to the speed of execution ratio. In contrast to the current system, visually pleasant improvements are significant.
This paper reports on an efficient approach within the control of the school education process. Namely, we use the discrete Markov chain for a system with fuzzy states that based on processing data from time series (a...
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ISBN:
(数字)9798350309126
ISBN:
(纸本)9798350309133
This paper reports on an efficient approach within the control of the school education process. Namely, we use the discrete Markov chain for a system with fuzzy states that based on processing data from time series (a set of student’s grades within some time period). In this case, the transition matrix has stochastic nature. Such an approach makes it possible to obtain stationary states of the system that characterize its status at a certain given time interval. This result can be used in a decision support system for targeted status changes. A feature of the resulting Markov chain for fuzzy states of a system is the ability to take into account the dynamics of changes in system states when calculating average status values, in contrast to the widely used averaging based on calculating arithmetic averages.
The dense deployment of small cell networks is primary feature of next generation mobile networks assigned to offer essential ability. The small cells are deployed in regions covered through macro-Base Stations (eNBs)...
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ISBN:
(数字)9798331508456
ISBN:
(纸本)9798331508463
The dense deployment of small cell networks is primary feature of next generation mobile networks assigned to offer essential ability. The small cells are deployed in regions covered through macro-Base Stations (eNBs) for supplying required local capacity depended on hierarchical networks. Additionally, small cell networks utilize high capacity backhaul links on millimeter wave bands for developing multi-hop topologies to overcome data broadcasting costs. In this manuscript, developed the dynamic improved optimization method for reducing energy consumption of 5G networks and offers significant capacity and coverage. By optimizing the carrier allocation and power usage, developed algorithm determined when to turn ON or OFF small cells to meet constraints of Quality of Service (QoS) of users with greatest level of energy efficiency. Moreover, developed the multi-hop backhauling strategy for effective utilization of existing architecture of small-cell networks for continuous dual-hop transmissions. In accordance with simulation outcomes, the energy efficiency and data rates of system effectively enhanced.
In recent years, with the continuous development of society, there has been rapid progress in intelligent buildings and their associated technologies. Among these, the application of intelligent construction products ...
ISBN:
(纸本)9798400709517
In recent years, with the continuous development of society, there has been rapid progress in intelligent buildings and their associated technologies. Among these, the application of intelligent construction products and new technologies can significantly enhance the efficiency of construction operations, ensure the safety of on-site personnel, and improve the accuracy of construction data. Consequently, intelligent construction products have become a focal issue for the majority of enterprises. Addressing this market demand, this paper simulates a technology company which specializing in intelligent building products, and investigates various innovative technologies and products related to intelligent construction. Simultaneously, a series of market surveys were conducted to analyze the current understanding and awareness of intelligent buildings among the public. Then we analyze construction techniques under smart management scenarios, presents the design of a smart construction management software based on BIM (Building Information modeling) technology. Finally, this paper innovatively proposes an intelligent construction evaluation method based on genetic algorithms, integrated with BIM technology. This algorithm provides intuitive and clear forecasts for construction time and cost, and selects the most appropriate construction plan according to predefined rules.
Digital Twin is one of the fast-growing technology digitalization space which needs to complete Smart City's problem areas. Digital twin is virtual representation of physical things or assets or process in a conne...
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Digital Twin is one of the fast-growing technology digitalization space which needs to complete Smart City's problem areas. Digital twin is virtual representation of physical things or assets or process in a connected network. The data from Physical asset or things IOT Devices, Sensors, Cameras needs to be collected in a large cloud store which contains the engineering data like machine diagrams or flow charts, building blueprint, building electrical map or waterline map, Building information Model, 3D images, computer Aided Design (CAD), controls data IOT Sensors, IOT Gateway, Drones, Cameras, etc. and supporting data. This research paper narrates the different types of digital twin with a use case of Smart Building and how it should be protected during disaster time with different technologies and dataset
With the integration of IT and OT, cyberattacks against ICS have been on the rise recently, and more and more advanced methods are resorted to by attackers to break down the physical system. To do further research in ...
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In this paper, we propose a model driven approach to facilitate the integration of Nets within Nets (NWN) modeling language in CINCO modeling tool. Despite that, NWN has a sophisticated modeling-simulation tool called...
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In this paper, we propose a model driven approach to facilitate the integration of Nets within Nets (NWN) modeling language in CINCO modeling tool. Despite that, NWN has a sophisticated modeling-simulation tool called Renew, moving NWN models from a platform to another has been a challenge for programmers. The development of our tool is heavily benefits from being implemented with CINCO; a full generation of the application code is provided, a powerful tool is developed with a few efforts and facilities are provided to add semantic to the platform. Combine formal method with a sophisticated model driven tool simplifies the prototypical of domain specific systems, promotes the interoperability capabilities between different technologies and assists designer in the validation of the correctness of the modeled system.
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