Karmaveer Kakasaheb Wagh Institute of Engineering Education & Research, Nashik (KKWIEER) is the oldest engineering college in Nashik.It is a self-financed, privately managed college recognized by AICTE, adjudged in "A" grade by the Govt. of Maharashtra and affiliated to Pune University.[citation needed]K K Wagh Institute of Engineering Education & Research was established in 1984 and is located at Hirabai Haridas Vidyanagari Amtutdham, Panchvati, Nashik. The college is spread over area of 10 hectares and offers bachelor's degree programmes in Electrical, Electronics & Telecommunication, Mechanical, Production, Computer, Civil, Chemical Engineering, Information Technology. They also have Management department in their campus..
Addressing the growing problem of urban air pollution requires that sophisticated air pollution monitoring and forecasting systems be incorporated into civil engineering practice. New technologies that support smarter and more sustainable urban environments include the Internet of Things (IoT), big data analytics, and machine learning (ML). These technologies allow for real-time data acquisition, high-resolution monitoring, and precise predictive optimization. Continuous, spatially dense air quality monitoring is made possible by IoT-based sensor networks, while big data frameworks can effectively integrate and analyse diverse, multi-source datasets. Meanwhile, ML and deep learning can further improve forecasting accuracy, enabling urban planners and civil engineers to foresee pollution trends and implement proactive mitigation measures. Notwithstanding these developments, challenges persist for data integration, sensor calibration, model transparency, and the reliability of inexpensive monitoring systems. To overcome these constraints, improvements are needed in terms of data accuracy, robust calibration techniques, and the implementation of interpretable ML models. This review emphasizes the vital role of civil engineers in promoting resilient and sustainable urban development, advancing effective air quality management, and safeguarding public health through interdisciplinary collaboration between data scientists and policymakers.
This article presents a bridgeless power factor correction (PFC) rectifier that utilizes Sepic topologies. The rectifiers presented offer a significantly larger step-down voltage gain compared to their competitors, achieved by utilizing a higher duty cycle. In addition, they provide increased efficiency, reduced current strain, and overall maximum power for switching devices. This method offers a comprehensive and simple approach to designing in the discontinuous conduction mode. It assures a power factor of one and minimal total harmonic distortion, all while utilizing a straightforward control technique. This study compares the performance of the suggested rectifier with a number of other traditional Sepic PFC rectifiers. The slide-mode controller is utilized by the presented converter. The SMC controllers are compared to PI and FLC controllers, resulting in enhanced voltage levels and reduced voltage output setting time. A laboratory setup is constructed using a 100Vrms/50Hz source to produce a 48Vdc output voltage. The system includes a 65-W high-gain sepic rectifier, which has shown excellent performance in the experimental results and MATLAB/Simulink. The performance is confirmed through experiments using calibrated instruments, and the results are checked against IEC standards to ensure they are accurate and reliable.
An experimental study comparing heat transfer characteristics of single-row and double-row circular isothermal jets impinging on a concave surface is presented. Experiments were conducted at Reynolds numbers of 10,000, 23,000, and 35,000 for a nozzle-to-surface diameter ratio (d/D) of 0.1, nozzle length-to-diameter ratios (L/d) of 0.6 and 1.5, and nozzle-to-target spacings (H/d) of 2 and 4, while maintaining a constant jet-to-jet spacing (P/d) of 4. The peak local and spanwise-averaged Nusselt numbers for single- and two-row configurations were found to be nearly identical; however, the two-row configuration covered a larger cooling area. The mass flow rate required for the two-row configuration was approximately twice that of the single-row case. When compared at the same mass flow rate, the single-row configuration produced about 20-25% higher peak Nusselt number values due to the higher jet Reynolds number. Under constant pumping power conditions, the average Nusselt number for both configurations remained nearly the same, indicating similar overall thermo-hydraulic performance. The peak pressure coefficient for single and two rows was nearly identical for H/d = 2, whereas for H/d = 4 it decreased for the two-row configuration due to increased entrainment effects. Shorter nozzles (L/d = 0.6) produced approximately 8-12% higher Nusselt number values compared with longer nozzles (L/d = 1.5). The effect of jet-to-jet spacing was also investigated for P/d = 2 and 4 with curvature ratios (d/D) of 0.1 and 0.2. While the local Nusselt number distributions were nearly the same, the spanwise-averaged Nusselt number increased by about 25-30% for P/d = 2 due to stronger jet interaction. However, when compared at constant pumping power, the spanwise-averaged Nusselt numbers for P/d = 2 and P/d = 4 were almost identical. Nevertheless, the variation in spanwise local Nusselt number was smaller for P/d = 2, resulting in more uniform cooling. Heat transfer with and without coolant ejection near the stagnation region was also examined. Front coolant ejection resulted in a 5-10% increase in Nusselt number, although the improvement remained within the experimental uncertainty limits.
The conventional real estate rental market suffers from significant challenges including fraudulent listings, contract disputes, payment delays, and transparency issues. These problems create friction between landlords and tenants, often resulting in legal and financial complications. This paper presents LeaseNova, a decentralized application (dApp) that addresses these challenges through blockchain technology, smart contracts, and the InterPlanetary File System (IPFS). LeaseNova provides a comprehensive framework for secure, transparent, and automated rental lifecycle management. The system automates legally compliant lease agreement generation, manages hybrid on-chain and off-chain data storage, facilitates automated rent payments with penalty mechanisms, and introduces periodic property condition verification through timestamped image uploads. By maintaining an immutable audit trail of all transactions and agreements, LeaseNova enhances trust, reduces administrative overhead, and minimizes dispute potential, establishing a foundation for a more efficient rental ecosystem.
The widespread use of electronic appliances is driving the increasing electricity demand in residential sectors, putting immense pressure on local distribution grids. While smart grid technologies integrated with renewable energy systems are widely promoted for demand-side energy management, their effectiveness is often hindered by the intermittent nature of solar and wind power and the lack of user-independent control strategies. Most existing studies have not addressed the impact of human behavior on IoT-enabled smart grid performance in real-world residential settings, nor proposed adaptive control solutions that operate reliably across seasonal variations. This study aims to bridge this gap by experimentally analyzing a solar photovoltaic (PV)-powered household equipped with IoT-based energy monitoring systems and evaluating its seasonal energy performance. The test environment consisted of a family of four, and energy usage data were collected across summer, winter, and monsoon seasons. Initial assessments showed only marginal reductions in grid electricity demand, especially during the monsoon (1.5
