The building functions like a living organism, creating a controllable micro-ecosystem within an uncontrollable larger ecosystem to provide suitable living conditions. This metabolic process involves various components, including the façade. While façade design dates back to the earliest architectural creations, "Façade Engineering" is a relatively new scientific discipline, gaining importance due to concerns about building sustainability and climate change. This study uses a qualitative approach and content analysis to identify eight key groups of effective façade engineering components: Structure, Sociability, Material, Security, Physics, Management, Integrity, and Aesthetics, providing a basis for developing a conceptual framework. In this paper, we choose a case study of a building with a façade and conduct a cost analysis.

Read More...

With the exponential growth of digital ecosystems, Application Programming Interfaces (APIs) have become essential for enabling seamless communication between different software applications. API connectors serve as the bridge that allows these applications to interact efficiently. However, developing API connectors can be complex and time-consuming, requiring meticulous attention to detail and extensive programming expertise. Automation has emerged as a powerful solution to streamline and expedite the development process of API connectors. By automating certain aspects of connector development, developers can focus more on the design and functionality of the connectors, rather than spending excessive time on repetitive tasks. This research paper explores the various aspects of automation in API connector development, including its benefits, challenges, and implementation strategies. The paper begins by providing an overview of API connectors and their importance in modern software development. It then delves into the concept of automation and its relevance in the context of API connector development. Various automation techniques, such as code generation, testing automation, and deployment automation, are discussed in detail, highlighting their role in enhancing the efficiency and effectiveness of API connector development. One of the key benefits of automation in API connector development is its ability to reduce development time and effort. By automating repetitive tasks, developers can accelerate the development process and deliver connectors more quickly. Moreover, automation can also improve the quality of the connectors by reducing the risk of human error and ensuring consistency in the code. However, implementing automation in API connector development is not without its challenges. One of the main challenges is the complexity of APIs and the diverse range of technologies used in API development. This complexity can make it difficult to create generic automation solutions that work across different APIs. Additionally, there is also a learning curve associated with implementing automation tools and techniques, which can be daunting for developers unfamiliar with automation concepts. To address these challenges, the paper proposes several strategies for implementing automation in API connector development. These include using code generation tools, leveraging existing automation frameworks, and adopting best practices for automation. By following these strategies, developers can overcome the challenges of automation and reap the benefits of faster, more efficient API connector development. In conclusion, automation has the potential to revolutionize API connector development by streamlining the development process, reducing errors, and improving the overall quality of connectors. While there are challenges associated with implementing automation, the benefits far outweigh the costs. By embracing automation, developers can stay ahead in the rapidly evolving landscape of API development and deliver better, more robust connectors to meet the growing demands of modern software applications.

Read More...

This paper describes the unknown parameter, reliability and hazard function of the Weibull distribution-based on failure censored data. The estimation of parameter of the Weibull distribution is considered with a Natural Conjugate Gamma Prior and Linex Loss Function. Lindley's approximation is used to obtain Approximate Bayes estimator of Reliability function. The result from Bayesian method is used to compare with Bayes and Maximum likelihood estimate (MLE) methods. The simulation shows that the results from Bayes is Robust for Approximate Bayesian method than MLE in terms of mean square error (MSE).

Read More...

The continuous reduction in raw resources in the construction industry has reached the alarming stage such that the usage of waste by-products from various industries has become necessity. Fly ash had used in the construction industry for the last decade; but there a need for more experimental studies with other materials as a substitution. Concrete is better for compression. Hence, it used in compression regions. The M25 concrete had used to prepare both GPC cubes. The trial mix is test for compressive strength. Tension, compression, and flexural has done for 28 days of curing of the beams. Development of flexural cracks is relatively less in geopolymer Compression strength increased from 17.25 MPa to 37.25 MPa in the period of 7 days to 28 days for conventional specimens. In the GPC samples, the compression strength increased from 21.4 to 43.6 MPa for the same period.

Read More...

The increasing demand for autonomous and low-power electronic devices has spurred interest in energy harvesting technologies, particularly radio frequency (RF) energy harvesting. RF-DC rectifiers play a critical role in converting RF signals into usable direct current (DC) power for such applications. This paper presents a novel high-efficiency RF-DC CMOS rectifier design tailored for RF energy harvesting applications. Through comprehensive analysis and simulation, we demonstrate the superior performance of the proposed rectifier in terms of efficiency and power conversion the proposed design holds significant promise for enabling self-powered and energy-efficient wireless sensor networks and Internet of Things (IoT) devices.

Read More...

Historical , legal , cultural And socio - political viewpoints To Involved Do happened Ayodhya Ram Temple issues Of versatile dimensions But Light puts Is , it Paper Ayodhya In controversial venue of historical background Of Address to put , that place But One Hindu Temple Of Existence Of about In competitor claims of Test to do From Start Would Is. legal section Important courtroom decisions And long Time till Let's go Ayodhya Controversy To to solve In legal officers of Role Of Analysis does is , in which Indian archeology Survey Of conclusion Too Involved Are Who legal Discussion To Affected Do Are. it research Wool searches But Attention concentrated Do happened Ayodhya venue From Connected archaeological evidences of investigation does is , who Temple of appearance Of around Story To size Gave Is. socio - political Effect of Test Do done , paper Discussion does Is That How Ayodhya Controversy Indian Politics And Society In spread Went yes , people of Opinion To Affected Did Is And various reactions get of Are. Religious Approach of Test of caste yes , hindu Religion In God Ram And Ayodhya venue Of Importance To Expose Did go with is _ hee various Religious leaders Of Approach But Too Idea Did go Is. it Study Ram Temple Of Construction But Light puts yes , let's go doing process , architecture nuances And Temple Of symbolic Importance Of about In Information provide does Is , Ayodhya issues But international reactions of Test of Went is , due to which it Address walks Is That global stage But This How saw Went Is. conclusion in , paper main findings Of Summary Presented does is , in which Ayodhya Ram Temple Story To size to give In historical , legal , cultural And socio - political factors of Complex mutual verb But emphasis Gave Went Is. Temple Of Construction To potential long term effects Of with One transformative Event Of Form In saw Went Having more Paper This historical Form From accused issues From attached Complications To to understand Of For various viewpoints To Accept to do Of Importance To Underlined does Is.

Read More...

Record participation is one of the most important activities carried out every day in colleges, universities, organizations, schools and companies. It is usually done manually, such as searching by name or roll number. The main goal of this project is to create a unified attendance system based on facial recognition that will complement the current manual process. The program meets today's attendance standards and time management goals. This device is installed in the classroom and used to share student information such as name, roll number, class, seconds and photo. Extract images using OpenCV. Before the main lesson begins, students can access the machine that will begin taking photos and comparing them to appropriate items. In this project, Logitech C270 network camera and OPENCV are used as motherboards. The images are as follows: First, faces are recognized using the Haar Cascade classifier, then the LBPH (Local Binary Pattern Histogram) algorithm is used for recognition, first the histogram data is compared with the dataset and the device automatically verifies participation. The Excel file is updated every hour with the information provided by the classroom teacher. Keywords: face detection, face recognition. Attendance is very important for teachers and students in educational institutions. It is therefore important to keep attendance records. The problem arises when we consider how to participate in class. Calling student names or student numbers to check attendance is not only time-consuming but also energy-consuming. Therefore, automatic enrolment system can solve all the above problems.

Read More...

The e-royalty authority platform is a digital solution designed to address the complexities associated with managing substantial amounts of royalty data. By automating the collection of data from diverse sources such as streaming platforms and online stores, the platform ensures precision and effectiveness. A pivotal aspect of its functionality lies in its overload detection system, which constantly monitors the workload of the infrastructure, promptly alerting administrators to potential issues. This platform simplifies the management and monitoring of royalty payments, providing comprehensive reporting and analytical tools to facilitate informed decision-making. In summary, it presents a contemporary and efficient approach to managing royalty data, thereby saving time and alleviating administrative burdens.

Read More...

In today's fast-paced work environments, time efficiency is paramount for businesses across various industries. Recognizing the significance of optimizing workforce productivity, our project introduces an IoT-based worker monitoring device. This innovative solution offers comprehensive insights into worker attendance, live location tracking, temperature monitoring, and heart rate analysis. The system not only ensures accurate attendance records but also enhances safety protocols by constantly monitoring workers' vital signs and environmental conditions. By leveraging IoT technology, employers gain real-time access to crucial data, enabling them to make informed decisions to streamline operations and ensure the well-being of their workforce.

Read More...

Healthcare is changing rapidly, and proper management of patient data; billing, and expenses are important. This abstract describes a modern solution, which employs the Near Field Communication (NFC) technology that would simplify retrieval of patient details, maintain a log billing, administer medications as well as monitor all costs in the hospital room. The NFC-based system ensures seamless and secure access to vital information for healthcare providers including medical history, plans for treatment and allergies by just swiping an NFC-enabled device on a patient’s tag within their rooms. This helps health professionals to make quick decisions while improving care quality. Additionally, the system combines billing and expense management into one whole. It automates the calculation and recording of medical expenses as well as drug prices thus facilitating correct and timely invoicing of patients. As such this enhances financial operations in hospital while promoting transparency and accountability in provision of healthcare services.

Read More...

The study provides the experimental analysis of CI DI engine performances using blends of biodiesel (waste cooking oil) and diesel fuel. This experimental analysis has 6 permutations of blends of biodiesel with diesel in various quantity such as diesel, 100%WCO, 80% WCO diesel, 60% WCO diesel, 40% WCO diesel, 20% WCO diesel. Respective graphs depicting the correlation with multiple affecting parameters on engine performance is also presented in this paper. Based on the experimental findings, it is demonstrated that the highest mechanical efficiency achievable, at 83.54839%, is attained when utilizing 100% biofuel, surpassing all other combinations tested. Furthermore, the results indicate a proportional increase in mechanical efficiency with the rise in biofuel usage, while maintaining consistent environmental conditions. The future scope of biodiesel lies in its potential to serve as a sustainable alternative to conventional fossil fuels, offering reduced greenhouse gas emissions and greater energy security. Continued research and technological advancements are expected to enhance its production efficiency and widen its applications across various sectors.

Read More...

A college or an organization should be flexible in order for the smooth running of the very management. Sometimes, due to various reasons or aspects, there may arise uncertainty in the smooth running of the management in various fields such as machinery, programs, or in person conflicts due to differences in opinions too. In such cases, not every individual is built to be so upfront or due to the introverted behaviour, one may not be able to convey the needful. Our application will help for the betterment of the running group, service or organization. A Blood bank management system Application solely based on Python using other resources such as Django. The blood bank management system is a crucial tool for maintaining the inventory of blood donations and blood samples. In this paper, we propose the design and implementation of a blood bank management system using a Database Management System (DBMS) and Java Database Connectivity (JDBC). The system will help in the efficient management of blood donations and blood samples. The system will also allow for tracking of donor information, blood types, and inventory records. The system is implemented in Eclipse IDE and provides an easy-to-use interface for managing blood donations and monitoring inventory levels.

Read More...

These One of the most trusted and low maintenance and low in operation costs of wastewater treatment is the setup of and operation of a Vertical Flow Constructed Wetland. These wetlands systems have a very good ability to handle the sudden increase in the amount of domestic wastewater and sudden increase in a load of various contents of the wastewater. The plant here used in this wetland setup is Eranthemum Nigrum. The plant was specifically chosen for its growth of roots and development of rootzone in the soil providing more contact area and substrate for the microorganisms for their processing and playing an important role in the treatment of wastewater. A constructed wetland unit of capacity 20 litres was constructed to treat the domestic wastewater with COD and BOD values of 544 and 270 mg/L respectively. The wetland media consisted of soil and a fine aggregate bed. The bed is filled to a height of 15cm with soil of size 2 μm. The soil used for the growth of plants is laterite soil for a depth of 15cm. and fine aggregate depth is 5cm, size 300 μm. The plant used in this treatment is Eranthemum Nigrum. About 40 Eranthemum Nigrum of an average size of 30 cm are used in the constructed wetland. From the test reports, it was observed that all the pollutants were reduced to 50-80%. The highest BOD and COD removal occurred at the retention time of 6 days. The Eranthemum Nigrum plant showed good efficiency. The average removal of TDS, Nitrate, and Phosphate for a retention time of 1, 2, 4, and 6 days was 60%, 75%, 80 and 90% respectively. The treated water can be used safely for household works and irrigation purposes as the test results were within the IS standard limits. There was an increase in the height of the plant about 2-3cm averaging from the actual height. Hence the overall removal efficiency of plant Eranthemum Nigrum was proved to give better efficiency compared to conventional plants. This method can be used for small-scale domestic wastewater.

Read More...

This water efficiency is considered important in all countries around the world, and many research projects (such as integrated water management) have been developed to improve water management. Therefore, smart water systems are designed to ensure the integrity of water, provide economic benefits for consumers and utility companies, improve management and achieve the highest water level. A prepaid water meter is a device that measures the drinking water of the homeowner who installs the device in his home. Saving water is a big issue for many homes. Public electricity meters are installed and the money received from households is more than the bills paid.

Read More...

This study delves into the practices of Municipal Solid Waste Management (MSWM) in Udaipur city, Rajasthan. Utilizing a mixed-methods approach, the research integrates waste audits, surveys, interviews, and focus group discussions to comprehensively evaluate the current waste management landscape. The results emphasize the necessity for tailored strategies that account for the distinct challenges associated with waste generation in Udaipur. By focusing on quantitative analysis, the study sheds light on the hurdles confronting municipal solid waste management in Udaipur City. The swift urbanization and population surge in Udaipur have amplified solid waste generation, placing considerable strains on the city's waste management infrastructure. Through surveys, data gathering, and statistical scrutiny, this investigation aims to pinpoint critical challenges, including inadequate waste collection infrastructure, improper segregation practices, limited landfill capacity, and insufficient public awareness. These insights offer valuable guidance for policymakers, urban planners, and stakeholders to devise effective strategies and interventions aimed at enhancing MSWM in Udaipur City and similar urban environments.

Read More...

This project presents the development of a chatbot system using PHP, MySQL, and XAMPP. The chatbot provides natural language interaction, leveraging MySQL for data storage and XAMPP for local server deployment. Key components include a chat interface, MySQL database for storing conversation history and user information, and XAMPP for local hosting. The project aims to showcase the integration of these technologies to create a functional chatbot system suitable for various applications.

Read More...

Groundwater is the most precious resource on the earth as it is the basic necessity among all forms of life on the earth for sustainability, we all have to very strongly depend on this source of water for our daily domestic, Agricultural, industrial, Commercial, etc water requirements. In the area of Navsari District especially in the coastal region, it was found from the past data that water is getting polluted periodically, and as a result of that it was decided to assess the groundwater quality of Navsari District. The present study mainly aimed at the assessment of groundwater quality based on the Water Quality Index of different physico-chemical parameters of selected sampling locations of Navsari District. To fulfill the requirements for the determination of the Water Quality Index, samples were collected from selected 48 locations within Navsari District. Mainly for the assessment of groundwater quality purpose pH, Electrical Conductivity, TDS, Chlorides, Total Hardness, and Nitrates were considered as quality parameters. Finally, the determination of the water quality index for the Pre-Monsoon and Post-Monsoon period of each year for three consequent years is decided. After assessment based on contamination results suggests the proper method of artificial recharge for the improvement of Ground water quality of that region.

Read More...

SHETKARI stands as a beacon of hope for farmers, offering not just practical tools but also a supportive community. By harnessing the power of technology and datadriven insights, SHETKARI equips farmers with the knowledge they need to navigate the complexities of modern agriculture. From selecting the right seeds to managing crop health and maximizing yields, the platform serves as a trusted companion on the journey towards agricultural success. Moreover, SHETKARI recognizes the importance of sustainability in farming practices. With a keen focus on environmental stewardship, the platform promotes ecofriendly techniques that minimize the ecological footprint of agricultural activities. By encouraging the adoption of organic farming methods, water conservation practices, and biodiversity preservation, SHETKARI strives to ensure a harmonious coexistence between agriculture and the natural world. In addition to its practical benefits, SHETKARI fosters a sense of community among farmers, facilitating knowledge exchange and collaboration. Through online forums, discussion boards, and interactive workshops, farmers can connect with peers, share experiences, and learn from each other's successes and challenges. This sense of camaraderie strengthens the fabric of the farming community, fostering resilience and solidarity in the face of adversity. Together, these initiatives propel Maharashtra's agricultural sector into a new era of prosperity and sustainability. By empowering farmers with the tools, resources, and support they need to thrive, SHETKARI paves the way for a brighter future for farming families across the region. As Maharashtra's agricultural landscape evolves, SHETKARI remains steadfast in its commitment to driving positive change and building a more resilient, prosperous, and sustainable farming ecosystem.

Read More...

In contrast to traditional learning systems, e-learning quenches the thirst for knowledge and provides learners with a wide selection of e-learning solutions that enable them to access online content at any time, place, or age. Additionally, it offers quick access to particular facts and knowledge. The learning approach has evolved as a result of the time constraints and the quick expansion of extensive knowledge sources. Instead of learning and teaching by hand, e-learning platforms allow learners to acquire knowledge. The cloud-based online e-learning management system with framework is proposed in this research report. This solution has comprehensive database integration and cross-browser functionality. Content management, content protection, learning management, delivery management, evaluation management, access control, and other aspects were the main focus of this system.

Read More...

Credit default analysis is pivotal in financial risk assessment, vital for stability and investment protection. This study examines credit default analysis, covering methodologies, models, and risk factors. From conventional scoring to advanced algorithms, diverse tools are used for accurate risk evaluation. In today's volatile economy, predicting and managing credit default risk is critical. This analysis assesses the creditworthiness of entities like individuals, corporations, and governments, offering insights into portfolio health. Global financial crises emphasize the need for effective risk management. Explore whether analyzing such textual data alongside traditional financial metrics can improve credit default prediction accuracy [3]. The study emphasizes the evolving nature of credit analysis, adapting to market dynamics. Institutions must continually adjust to navigating financial complexities and market fluctuations. Understanding credit default risk enables informed decision-making and resilient capital allocation. Moreover, the study explores credit risk's implications for institutions and the economy, stressing systemic interconnectedness. Robust risk frameworks are crucial to mitigate losses and maintain financial stability. Inaccurate credit assessment can lead to significant institutional losses in how the dataset is used to train machine learning models, which are then assessed for how well they identify fraudulent transactions [4]. This research contributes insights and trends in credit risk management, aiming to enhance industry decision-making. A thorough grasp of credit default analysis fosters stability amidst economic challenges. Unveiling the potential for loan defaults is the essence of credit default analysis. This synopsis delves into the methodologies employed, highlighting their power in risk management. Financial institutions and stakeholders leverage this analysis to assess the probability of borrowers defaulting. By scrutinizing historical data, industry trends, and borrower characteristics, credit default analysis provides critical insights. This proactive approach mitigates risk and fosters financial stability, particularly in today's dynamic economic climate. As financial markets evolve, the methodologies utilized in credit default analysis will continue to adapt, solidifying its role as a cornerstone of financial risk management. Traditional techniques analyze factors like credit history and income, while advanced models incorporate sophisticated statistical analysis and even machine learning algorithms. This nuanced approach provides valuable insights into the health of credit portfolios, empowering stakeholders to make informed decisions regarding risk exposure and capital allocation. As financial markets become increasingly complex, credit default analysis will continue to adapt and refine its methodologies, ensuring its enduring role in mitigating risk.

Read More...

M.V.P Sport Club Academy is to give which manages the exertion of numerous sports at a time. It also manages the selection exertion of scholars to council/ academy and to state position. This operation will give the information regarding a sports event and will give all necessary details about the event. The stoner will consume lower quantum of time when compared to homemade paper work through the automated system. The system will give the serving exertion in quick and easy manner. To maintain information about the brigades sharing in the event and related to particular sports. The main idea of the design is to organize the sport events under state position and quarter position. The pupil's information will be saved in the database depending on the particular sports. event venue and date will be maintained in the database. Sports schoolteacher and also sports scholars can use this system. The winner in the particular event will be blazoned through this system. The named scholars for the coming position will also be blazoned using this system. There are two places ADMIN and USER. Admin has all the access and he can produce match with other platoon, View match details and modernize the match results. Stoner can register, Login pay the freights, apply for a match which was created by admin and can see the match results.

Read More...

Shear walls are structural elements that protect structures from lateral loads such as wind and earthquakes. When the external walls of a building are insufficiently strong and stiff, shear walls are added to the interior to provide greater strength and stiffness. When the permissible span width ratio for the floor or roof diaphragm is exceeded, these shear walls are required. Shear walls are flexural members that are commonly used in high- and low-rise buildings to prevent total collapse due to seismic stresses. Here hybrid shear wall means a combination of shear wall and X bracing this research is focused towards presenting the behaviour of structure considering three different cases namely, structure with X bracing at corner, structure with shear wall at corner and structure with hybrid shear wall at corner. The structure was modelled and analyzed using analytical application ETABS v 2016. The parameters of comparison were Storey displacement, storey shear. Storey drift, storey stiffness and base shear.

Read More...

Introducing a state-of-the-art deep learning method, our approach utilizes a Res-Next CNN for extracting frame-level features and an LSTM-based RNN for classification, effectively distinguishing between authentic and AI-generated fake videos. Trained on a diverse dataset comprising Face-Forensic++, Deepfake Detection Challenge, and Celeb-DF datasets, our method demonstrates robustness in identifying manipulated media. Furthermore, the integration of this deepfake detection model into a virtual universe allows for real-time detection of deepfakes, enriching user experiences within the simulated environment. This integration fosters greater awareness of the risks associated with manipulated media and offers an interactive platform for users to engage with and comprehend the implications of deepfake technology.

Read More...