Discover the Latest Journals in Architecture and Architectonics
Architecture is both the process and product of planning, designing, and constructing a building or structure, while architectonics is the scientific study of architecture itself. Architectural works are often considered important cultural symbols and works of art, and we often identify past civilizations with their architectural heritage.
Architecture and Architectonics
Abstract
This paper focuses on the relationship between the composition of foam glass and its thermal conductivity and density. In this experimental research, three levels of glass particle size and foaming agent (SiC) quantity were tested. The results showed that the thermal conductivity increased by increasing the ratio of fine glass particles. On the contrary, the thermal conductivity was not affected by changing the foaming agent weight ratio. The density of foam glass increased by decreasing the foaming agent ratio, and there was no linear relation between the size of glass particles and the density of foam glass.
Abstract
Scour is the leading cause of bridge collapse beneath any bridge pier located within the waterway. A numerical-based hydraulic model named the Hydrologic Engineering Centre River Analysis System and a mathematical model of the Florida Department of Transport were implemented to investigate their performance and accuracy in estimating the maximum scour depth beneath bridge piers where large and small-scale physical prototypes are used as a benchmark. The main findings are that a hydraulic model is an effective tool when employing the Colorado State University equation, which compares well with physical prototypes irrespective of the variation in piers' size and shape. Also, it has achieved more consistent results than the Froehlich and the Florida Department of Transport methodologies.
Abstract
In the present study, a comparison has been conducted to investigate the efficiency of using the near-surface mounted steel bars technique for strengthening and repairing the damaged reinforced concrete corbels. Three configurations for installing the steel bars have been considered; horizontal, diagonal, and combined. Results revealed that is better to use this technique within the early stages of loading. Moreover, results proved that the strengthening by the diagonal scheme yielded a better response in terms of cracking and failure loads with values of 166 and 95% relative to the control specimen. Also, it is found that for damage of 45%, the horizontal arrangement yielded the highest failure load of 99% whereas for damage of 65%, the diagonal system yielded the optimum value of 50% relative to the control specimen.
Abstract
Speech scrambler is used to transform clear speech into an unintelligible signal to prevent eavesdropping. The speech scrambling algorithm involves the permutation of speech segments depending on a specific permutation matrix which may be fixed or dynamic during encryption. A fixed permutation matrix is easy to break and has given high residual intelligibility in the scrambled signal. The proposed scheme used a particle swarm optimization algorithm to generate a dynamic permutation array that can attain a high degree of security. The outcome of the scrambled speech signal does not have any residual intelligibility, and the quality of the descrambled speech is extremely satisfying, with zero mean squared error.
Abstract
One of the most expensive components of constructing a cellular network is frequency planning. The cost of building and maintaining a network will be reduced if a set of base stations can be established with minimal service and preparation. Planning and optimization are carried out to guarantee that the scarce frequency is used to its maximum capability. The goal of this paper is to provide an autonomous method for planning and optimizing frequency in cellular networks. The method substitutes the inefficient, inaccurate, and time-consuming manual method. The automatic technique makes work easier for radio frequency (RF) engineers and lowers operating costs. Also, this article provides an autonomous planning and optimization technique that reduces intra-system interference levels to acceptable levels within the key performance indicators (KPIs) set for any suitable cellular network.
Abstract
A mathematical model is developed to determine the steady-state electric current flow through in non-homogeneous isotropic conductor whose shape has a three-dimensional hollow body. The equations of the Maxwell's theory of electric current flow in a non-homogeneous isotropic solid conductor body are used to formulate the corresponding electric boundary value problem. The determination of the steady motion of charges is based on the concept of the electrical conductance. The derivation of the upper and lower bound formulae for the electrical conductance is based on Cauchy-Schwarz inequality. Two numerical examples illustrate the applications of the derived upper and lower bound formulae.
Abstract
Based on the theory of space syntax, this study quantitatively analyzes the landscape space of Baosteel Zhanjiang Steel Co. Ltd., which is constrained by epidemic preventive measures and steel plant safety production requirements in the post-epidemic age. Space syntax has the benefits of decreasing research expenses, boosting analytical efficiency, assessing space use efficiency, minimizing environmental interference, and addressing epidemic prevention demands.
Abstract
Stretching periods between precipitations have been recorded, and an adjustment of the dispersion of rainfall over the long run could be seen. An expanded number of these peculiarities have additionally been affirmed by the international panel on climate change. Due to this adjustment of the reallocation of water and the effect of high urbanization, the sewerage frameworks are affected. The aim of the work was to compare simulations of the rain event on the combined sewer overflow due to the reduced water quality recorded in the Trnávka River. The current state and the proposed building modification were compared because the current hydraulic and construction modification of the combined sewer overflow is absolutely not corresponding to the environmental regulations.
Abstract
The present study aims at developing a non-destructive evaluation technique based on elastic wave scattering and the finite element method for the detection and evaluation of localized damage in rebar of reinforced concrete beams. Simulation of corrosion effect was taken for a tensile bar by creating a defect in this bar while the rest of the rebar and stirrups were kept unchanged. The study is based on comparison of propagation pattern of elastic waves in the presence and in the absence of defect. The proposed method was found capable to provide non-destructive evaluation of rebar corrosion in reinforced concrete beams, thus enabling diagnosis of reinforcement concretes structures attacked by corrosion. The obtained results can be further used to locate corroded areas.
Abstract
In this manuscript, the combination of IoT and Multilayer Hybrid Dropout Deep-learning Model for waste image categorization is proposed to categorize the wastes as bio waste and non-bio waste. The input captured images are pre-processed and remove noises in the captured images. Under this approach, a Nature inspired Multilayer Hybrid Dropout Deep-learning Model is proposed. Multilayer Hybrid Dropout Deep-learning Model is the consolidation of deep convolutional neural network and Dropout Extreme Learning Machine classifier. Here, deep convolutional neural network is used for feature extraction and Dropout Extreme Learning Machine classifier for categorizing the waste images. To improve the classification accurateness, Horse herd optimization algorithm is used to optimize the parameter of the Dropout Extreme Learning Machine classifier. The objective function is to maximize the accuracy by minimize the computational complexity. The simulation is executed in MATLAB. The proposed Multilayer Hybrid Dropout Deep-learning Model and Horse herd optimization algorithm attains higher accuracy 39.56% and 42.46%, higher Precision 48.74% and 34.56%, higher F-Score 32.5% and 45.34%, higher Sensitivity 24.45% and 34.23%, higher Specificity 31.43% and 21.45%, lower execution time 0.019(s) and 0.014(s) compared with existing waste management and classification using convolutional neural network with hyper parameter of random search optimization algorithm waste management and classification using clustering approach with Ant colony optimization algorithm. Finally, the proposed method categorizes the waste image accurately.
