In summation, utilizing DWC for subgrade soil stabilization emerges as an avant-garde and sustainable approach in pavement engineering, presenting an eco-friendly strategy for repurposing construction waste and thus, forging a sustainable pathway for future urban development. The value of CBR increased from 100.8% to 316.7% and then decreased by 174.9% for different percentages of Demolished Concrete Waste used in the soil sample in unsoaked conditions. The value of CBR increased from 109.24% to 298.96% and then decreased by 251.72% for different percentages of Demolished Concrete Waste used in the soil sample in 4 days-soaked condition. At 40% of Demolished Concrete Waste used in concrete, more economical results are provided because the CBR value is optimum.

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Various molar concentrations of sodium hydroxide and sodium silicate solutions were prepared, ranging from 11M to 14M, and were utilized to activate the geopolymerization process. For each molarity, a series of mixes was designed with incremental RHA replacements of 5%, 10%, 15%, and 20%. On the 28th day, the compressive strength of the concrete mixes find the optimum value of 12M, 900Ccuring temperature and 10% replacement of rice husk provide the best result as per the design of M-30 grade of geopolymer concrete.Laboratory assessments revealed several key findings. Firstly, as RHA content increased, a noticeable improvement in the early strength of GC was observed, attributed to the high reactivity of the silica in RHA. However, beyond 10% RHA replacement, diminished returns in strength properties were noted. Secondly, the molarity of the alkaline activator played a significant role in the setting time and workability of the GC, with higher molarities causing rapid setting but reduced workability.

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This research aimed to determine the viability of slag as a sand replacement and its subsequent effects on concrete's strength properties. At 40% replacement of iron slag give optimum strength of M-30 mix design. 40% iron slag as coarse aggregate in concrete offers good results of the compressive strength as in sample A3 with aggregate (natural aggregate=60%) & (iron slag =40%) targeted compressive strength reached in 28 days. Proposed model is reliable for prediction of compressive strength evaluation for modified concrete and A3 sample give higher value of R2. The early age strength gain is higher as compared to later ages of 40% of fine aggregate is replaced by iron slag.

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RC Buildings are very usual type of construction in India. Analytically while modelling the structure, we design only structural members which transmit the load like beams, columns, slabs and footings, where walls are not considered while designing and their impact on the structural response is neglected. Their impact is shown in the global behaviour of RC frames subjected to seismic loads. So it is very significant to study the impact of infill on the RC bare frames. The presence of infill results in increase in the structural stiffness; it also increases natural frequency of vibration which depends on seismic spectrum. In addition to that, it also decreases the storey drift demands and increases the storey lateral forces. This study gives the overview of performance of RC frame buildings with and with-out infill walls. In this study, two different buildings i.e. with and without infill walls are considered, whose analysis have been done for gravity and seismic loads using software (Etabs). The different materials considered in this study for the infill walls are Burnt Clay Bricks, Cement Bricks & Hollow Concrete Blocks. In this study, a G+11 - storied reinforced frames without infill and with infill walls are considered as a strut and with the finite modelling which has been evaluated through linear dynamic analysis. The objective of this paper is to compare various parameters such as Time period, Base shear, Storey drifts, Displacements and to study the performance of the building. Taking the above parameters into consideration, we can compare performance of infill Structures with the structures without infill in severe seismic zone as per IS 1893:2016.

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In order to evaluate its machining and mechanical capabilities, a hybrid aluminium metal matrix composite was created for this investigation. Composites made of an aluminium metal matrix are reinforced with silicon carbide and titanium di boride. The shape and structure of the composites and improved particle dispersion were thoroughly examined using optical microscopy. Using a Vickers hardness testing apparatus, the cast composite underwent the hardness test to assess its hardness. The results of the hardness tests show that the hardness value is increased by SiC and TiB2 reinforcing. The hardness rating decreases when the reinforcement is increased by up to 15%, though. Mechanical testing was done on tensile samples created from cast composite specimens of diverse compositions. According to the results of tensile tests, applying reinforcement SiC to the base metal provided the composite 20% more strength, however adding TiB2 decreased the strength by 50–60%. Wear test analysis was the method used to study the TiB2 wear resistance behaviour. The addition of TiB2 increased the composite's wear resistance, according to wear tests. The samples made of cast composite were carefully machined. The impact of machining parameters including cutting speed (s), feed rate (f), depth of cut (d), and TiB2 weight percentage on surface roughness (Ra) throughout a turning operation was investigated. The proportion of TiB2 reinforcement, having a contribution of 38.86%, is the single most important parameter impacting surface quality, according to the examination of variance approach. Research on tool wear was conducted to examine tool wear patterns, built-up edge formation, the impact of TiB2 on tool wear, and how these factors affect the surface's cast composite quality. Surface quality is affected by TiB2's increased tool wear, poor surface polish, and built-up edge formation.

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Brick is the building material of choice and is well known in our country as well as other countries for creativity, low maintenance, weatherproof etc. brick production emits gases include sulphur dioxide, carbon monoxide, carbon dioxide, oxides of nitrogen and suspended particulate matter (SPM) in the atmosphere which are harmful gases when they are present in excessive amount and lead to increase in temperature of atmosphere. Bricks are not preferred in high seismic zones due to its weight. Manufacture of brick through natural resources will lead to reduction of environmental pollution and reduction in its weight. In search of natural and renewable source which is easily available for us is Cow Dung (75%) which is waste material of animal and can be used for making bricks by adding lime (10%), clay (5%), guar gum powder (1.5%), gypsum (3%), Citric acid powder (0.5%) and sand (5%) all by volume. In this experimental analysis comparison between normal red brick, fly ash brick and cow dung brick with the help of compressive strength test, water absorption test and efflorescence test is done. Cost analysis of cow dung brick is done for comparative costs.

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Blood is essential component in human body and fulfills many functions, including transporting oxygen and nutrients to the lungs and tissues. Once extracted from the human body, it becomes a perishable product that can be used in surgeries, organ transplants, and in the treatment of cancer and blood diseases. Management of the blood supply chain is considered essential to minimize shortages and wastage of blood and to manage the flow of blood products from donor to patient. Blockchain technology has the potential to address these challenges by providing a secure, transparent, and tamper-proof way to track and manage the supply chain of blood products. This article aims the usage of blockchain as a platform for a trusted ecosystem for blood supply chain, to enable the tracking & transparency, safety & efficacy, and secure data storage & sharing.

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The digital transformation in our contemporary world is profoundly impacting every sector, particularly under the pervasive influence of the Information Technology (IT) field [1]. In the context of de-developing countries like India, the agricultural sector stands in need of substantial support for its advancement. Price prediction serves as a pivotal tool for both farmers and governmental bodies to make informed and effective decisions [2]. This study delves into the intricacies of predicting vegetable prices, harnessing the unique attributes of neural networks—such as self-adaptability, self-learning, and high fault tolerance [3]. Using the tomato as a case study, the model's parameters are meticulously examined through experimental analysis [4]. The conclusive findings of the Backpropagation neural network model unveil the absolute error percentages in monthly and weekly vegetable price predictions, offering a comprehensive analysis of the prediction accuracy [5].

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In today's digital era, safeguarding computer systems and information is a paramount challenge. The primary goal is to ensure that only authorized individuals have access to the systems and data. Authorization can't occur without authentication. For this authentication various techniques are available. Among them the most popular and easy is the password technique. A password is a way to control access to computers or information, ensuring that only those with permission can view or use them. The traditional approach involves using textual passwords (alphanumeric), but these can be vulnerable to different types of attacks. In response to these weaknesses, a graphical password technique has been developed as a more secure alternative. As name suggests in this technique images (pictures) are used as a password instead of text.[3] Graphical passwords are an alternative to alphanumeric passwords in which users click on images to authenticate themselves rather than type alphanumeric strings [1]. The graphical password systems, a replacement for the conventional alphanumeric username and password authentication mechanism, are the subject of this article. The latter has been shown to have serious disadvantages, such as users' propensity to select simple passwords or forget difficult ones. Images are used as passwords in graphic password systems, and this page gives a thorough description of the approaches currently being used in this field. The methods are divided into two groups: approaches based on detection and those based on memory [4]. A novel option in password security is the use of graphic-based passwords, and there is a rising preference for such a method. Research in human psychology indicates that people tend to find it simpler to recall images compared to words. The graphical password scheme involves two key elements: security and usability. This study undertakes a thorough examination of the existing Recognition-Based graphical password schemes.

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