Browsing by Author "Bhatt, Mohammed Wasim"

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3D modelling and visualization for Vision-based Vibration Signal Processing and Measurement
(De Gruyter Open Ltd, 2021-04-10T00:00:00) Yao, Qi; Shabaz, Mohammad; Singh, Raj Karan; Lohani, Tarun Kumar; Bhatt, Mohammed Wasim; Panesar, Gurpreet Singh
With the technological evolutionary advent, a vision-based approach presents the remote measuring approach for the analysis of vibration. The structure vibration test and model parameter identification in the detection of the structure of the bridge evaluation occupies the important position. The bridge structure to operate safely and reliably is ensured, according to the geological data of qixiashan lead-zinc mine and engineering actual situation, with the aid of international mining software Surpac. To build the 3D visualization model of the application of visualization in mine production are discussed. The results show that the final solid model of -425 stope can accurately display the spatial form of each layer of stope through rotation, amplification and movement. The proposed system is effectually able to perform cutting, volume calculation and roaming in any direction, which has certain guiding significance for mine production management. An accuracy value of 98.75%, the sensitivity of 99%, specificity of 99.64% and PPV of 99.89% are achieved using the proposed 3D modelling and visualization algorithm for vibration signal processing and management. � 2021 Q. Yao et al., published by De Gruyter.
Application of UAV tilt photogrammetry in 3D modeling of ancient buildings
(Springer, 2021-11-03T00:00:00) Guo, Qiu; Liu, Hechun; Hassan, Faez M.; Bhatt, Mohammed Wasim; Buttar, Ahmed Mateen
The initiation of photogrammetry that arrived in late 90�s permitted the 3D stereoscopic vision for the acquirement of information. A number of methodologies were embraced by several researchers to discover the innumerable aspects of photogrammetry, digital photography and image processing. Among these technologies UAV addressed tools were also employed in fast capturing of substantial areas in the efficient time slot this method was used by conventional aircrafts for efficient capturing. The expansion of unmanned aerial vehicles (UAV) in various fields has expanded comprehensively towards 3D modeling of ancient buildings. This expansion leads to the burden of obtaining highly precise information at multi-angle level and it becomes difficult for traditional technology to solve the 3D reconstruction problems of ancient buildings. To solve the problem of high precision 3D information acquisition and multi-angle real texture feature acquisition, this article proposes a new method of 3D reconstruction of ancient buildings combined with 3D laser scanning and tilt photogrammetry. The new method modifies the advantages of the two technologies and uses the feature point matching algorithm to realize the accurate fusion of multisource data, to gather the construction of a complete three-dimensional model inside and outside the ancient building. Considering the traditional ancestral hall of China as an example, the relative median error is computed for the constructed3D model, which is found to be minimized to 5�mm. The modeling efficiency is greatly improved by the proposed method when compared with the traditional method. The accuracy is relatively high and meets the requirements of modeling accuracy. Because the 3D model, elevation data of ancient buildings constructed in this study are derived from high precision point cloud data extraction. The accuracy of the model can also reach the millimeter level from the calculation results of error and relative middle error. Therefore, the 3D model constructed in this study has a high accuracy. It is revealed that this method provides significant technical support for the restoration and protection of ancient architectural cultural heritage. � 2021, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.
Experimental replacement of hops by mango in beer: production and comparison of total phenolics, flavonoids, minerals, carbohydrates, proteins and toxic substances
(Springer, 2021-09-01T00:00:00) Mohanasundaram, Sugumar; Ramirez-Asis, Edwin; Quispe-Talla, Angel; Bhatt, Mohammed Wasim; Shabaz, Mohammad
Humulus lupulus (Hops) based commercial beer contain chemical substances that are hazardous to human health. An effective substitute to Hops will be a revolution in brewing industries. The main objective of this study was to replace Hops in beer production owing to its insalubrious nature and to develop a nutritious beer using vegetables and fruits. In this study, the leaves and seeds of Mangifera indica (Mango) was experimentally used due to its aroma and bitterness as an auxiliary to Hops. The Mango Based Light Beer (MBLB) was produced with mango as gruit, barley malt as the main source, beetroot as an adjunct, and Citrus reticulata as a seasoning. Finally, Orange flavored, MBLB was produced by lab-scale fermentation using Saccharomyces cerevisiae. MBLB has high nutritious substances (protein, carbohydrate, minerals, Total phenols, Flavonoids, Vit. C). GC�MS analysis reveals the presence of beneficial bioactive compounds like Maltol, 4H-Pyran-4-one, 2,3-dihydro-3,5-dihydroxy-6-methyl, 5-Hydroxymethylfurfural, Furan-2-carboxaldehude, 5-(1-piperidyly) in the Mango based light beer. The level of Total phenolics and Flavonoids was comparatively high than HBCB. The presence of harmful chemicals includes 1-Pentanol, Silanediol, Urea, Pyridine and dl-Threitol in the HBCB was also observed by GCMS. Due to its high Phenolic and Flavonoid contents, MBLB showed increased antioxidant properties. From this study, it was clear that the MBLB was found to be effective and nutritionally enhanced, in comparison with the HBCB. The higher antioxidant potential of MBLB further supports its nutritional significance. � 2021, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.
Study on non-linear planning model of green building energy consumption under multi-objective optimization
(Springer, 2021-11-09T00:00:00) Fan, Miao; Su, Danna; Bhatt, Mohammed Wasim; Mangal, Adarsh
The research on economic balance and balanced competition is the initial concept that has reflected the idea of multi-objective programming which is usually encountered in the modeling of green buildings. This concept has laid the base in building a multi-objective optimization problem, for the establishment of model and calculation. By establishing a nonlinear planning model for determining the control target value of the project and by calculating the results, it is assumed that the sample is estimated as a very large likelihood, with consistency and non-biasing. In this paper several variables are analyzed and focus has been paid to weather conditions by making several interpretations: If the weather is good, the pit = 1, the engine can successfully complete the project amount of the plan; if constructed, when the weather is not conducive to engineering construction, then pit < 1 indicates that the increasing amount caused by the imbalance is used. Thus, the imbalance of resources has increased the entire project cost; the usage of closer approach to investment reflects less payment, small use of funds, therefore lower will be the cost. By establishing a model to determine the control target value of the project, the total amount of actual investment is 153.439 million Yuan, after the results calculation is optimized and the total cost after the initial progress plan is 5.34 million Yuan, combined with the project. Using NLP cost optimization is obtained with the overall construction efficiency. � 2021, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.