Volume 12 | Issue 6 |

 Abstract

In India energy demands are expected to be more than double by 2030, and there is a pressing need to develop ways to conserve energy for future generations. Thus energy consumption can be reduced drastically by using energy efficient appliances. In India, the Union Ministry of power's research pointed out that about 20-25% of the total electricity utilized in government buildings in India is wasted due to unproductive design, resulting in an annual energy related financial loss of about Rs 1.5 billion. Conventional Heating Ventilation and Air Conditioning systems (HVAC) consume approximately 50% of the building energy. This type of air conditioning is therefore neither eco-friendly or sustainable. Selection of proper air conditioning system for buildings can not only help the country to save electrical energy but also reduce green house emissions. As renewable energies become a growing part of the energy, the focus is being put on increased performance and efficiency of proven sources such as horizontal axis air coolers. Generally air coolers are predominantly horizontal-axis, three-bladed with a fixed blade design. The domestic air coolers, which are cost effective, play a positive role in providing human comfort during hot weather. However the performance is dissatisfactory in the high humid regions. This project paves a way to investigate the performance of air cooler integrated by eliminating the problem of rise in humidity that usually encountered in the conventional air cooler. The objective of the present invention is to provide cooled air to maintain the room temperature according to the requirement. This paper presents a simplified analysis model for Cooling Effect of 360 degree Air Cooler for Vertical Axis to make computation tractable with better performance and efficiency by varying speed, number of blades and energy utilization and comparing suitable for cooling effect over a site-specific air cooling distribution.

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 Keywords

Energy consumption, cooling effect, vertical axis

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This research paper provides a thorough examination of the evolving landscape of cyber security threats and the corresponding strategies employed to mitigate them. In an era where technology plays an integral role in everyday life, the importance of safeguarding digital assets cannot be overstated. The paper explores various categories of cyber threats, including malware, data breaches, and social engineering attacks, while also discussing emerging threats such as AI-driven cyberattacks and the challenges posed by the Internet of Things (IoT). Furthermore, it delves into the multifaceted approaches employed by organizations and individuals to defend against these threats, including encryption, intrusion detection systems, and user awareness training. By shedding light on the latest developments in the field, this paper serves as a valuable resource for professionals and researchers seeking to stay ahead in the ongoing battle for cyber security.

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 Keywords

cybersecurity, threats, robotics, computer network, firewall, malware, cybercrime

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 Abstract

Welding is a permanent joining process both by using gas torch or electricity to generate heat and also by using filler materials. Similar materials or dissimilar materials both can be joined by implementing welding process. Pressure can be used instead of filler materials to get the permanent joint. For fabricating various engineering components Welding has been considered as one of the best process in the recent years. Various applications include constructions, automotive industries, ship building, aerospace, etc. Gas Tungsten Arc Welding (GTAW) is one of the majorly applied welding processes. There are different welding factors which determine the soundness of weld and investigate the weldability of a metal. Weldability is defined as the easiness with which two or more similar or dissimilar metals can be joined without any problem. In GTAW, the Heat Input and the Gas Flow Rate are two major factors during the welding process. They have an influence on Weld Bead Geometry. One of the important characteristics of welding is consider as weld beads. Metals weldability has been determined by reinforcement height, width if the weld beads, and depth of penetration. In the present research work the Tungsten Gas Arc Welding (GTAW) was carried on AA6063 aluminium alloy. of Response Surface Methodology (RSM) has been implemented to design the experiment that too CCD (Central Composite Design). Gas Flow Rate and Heat Input are the two factors and three level has been considered to create DOE. Bead geometry parameters were studied for different combinations of the mentioned factors. The influence of each factor on the bead geometry was analysed using ANOVA. It was observed that the maximum depth of penetration was obtained at heat input values of 0.36-0.4 kJ/mm and gas flow rate of 15.5 l/min. Minimum bead width is recommended and this was obtained at heat input of 0.45-0.48 kJ/mm and gas flow rate of 15-16 l/min. Nominal positive reinforced height is acceptable and this is obtained through the entire range of heat input and gas flow rate of 10.5-13.5 l/min.

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 Keywords

Weldability, GTAW, Bead Geometry, Response Surface Methodology, ANOVA

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Nearest Neighbour Analysis, also known as K-nearest neighbour (KNN) and neighbourhood component analysis (NCA), is a method that stores training samples in an n-dimensional pattern space and calculates the distance between samples using a distance metric formula. An example of the search for order in settlement or other patterns in the landscape is the use of a technique known as nearest neighbour analysis. This attempts to measure the distributions according to whether they are clustered, random or regular. Here, settlement distribution may be expected to be regular, rather than the random or scattered pattern.

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 Keywords

Clustered, Random, Hexagonal, Concentration, Dispersed, High concentration.

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This paper introduces a Chat-bot Assisted Multilingual Platform for Re-use, Re-Cycle, Re-Sale, Disposal of Industrial Material, and Electronics," represents a pivotal intersection of technology and environmental responsibility. In the past, waste management posed challenges, leaving consumers unaware of proper disposal methods. The digital age, chatbots emerged as intelligent conversational agents, bridging the gap between users and information on industrial material and electronics. Originally designed for customer support, chatbots evolved into sophisticated virtual assistants, automating tasks. In our project, chatbots serve as a linchpin, creating an efficient, user-friendly platform for re-use, recycling, sale, and disposal. The initiative addresses the multilingual aspect, seamlessly integrating English, Hindi, and Kannada to ensure inclusivity and accessibility. The project classifies industrial materials, distinguishing plastics for informed decision-making. In electronics, it emphasizes reuse and recycling, diverting devices from landfills. In essence, it stands as a beacon for technology-driven environmental responsibility. The multilingual interface fosters familiarity, transcending linguistic barriers.

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This paper introduces a Chat-bot Assisted Multilingual Platform for Re-use, Re-Cycle, Re-Sale, Disposal of Industrial Material, and Electronics," represents a pivotal intersection of technology and environmental responsibility. In the past, waste management posed challenges, leaving consumers unaware of proper disposal methods. The digital age, chatbots emerged as intelligent conversational agents, bridging the gap between users and information on industrial material and electronics. Or

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India's legal framework is witnessing a transformative shift with the introduction of the Bharatiya Nyaya Sanhita (BNS) Act, 2023. This new legislation aims to replace the Indian Penal Code (IPC) of 1860, bringing about significant changes to modernize the criminal justice system. Here, we delve into the key aspects, innovations, and implications of the BNS.

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BNS, The Bharatiya Nyaya Sanhita

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Due to their effectiveness and eco-friendliness, electric golf carts are growing in popularity on golf courses. With the use of a literature review and data analysis, this research paper intends to present a cost report and business report on electric golf carts. The study examines electric golf cart pricing patterns and how they affect the golf cart market. According to the study's findings, electric golf carts are more cost- and environmentally-friendly than gas-powered golf carts.

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Electric Vehicles, Electric Golf Cart, Business model of electric Golf Cart & Analysis, Sector wise Analysis.

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This review paper presents a comparative analysis of 16-bit and 32-bit Reduced Instruction Set Computing (RISC) pipelined processors, with a focus on their design and implementation using Verilog Hardware Description Language (HDL). The study explores key architectural differences, performance metrics, and resource utilization associated with both processor types. By delving into the pipeline stages, instruction sets, and data paths, the review highlights the trade-offs between the two architectures in terms of complexity, speed, power consumption, and scalability. Detailed simulations and synthesis results will be analyzed to provide a comprehensive understanding of the advantages and limitations of each processor size. The findings aim to guide designers in selecting the appropriate processor configuration for specific applications, balancing the need for efficiency, cost, and performance. The paper concludes with insights into future trends in RISC processor design and potential areas for further research in the context of evolving computational demands and technological advancements.

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Keywords: RISC Architecture, Pipeline Stages, Verilog HDL, Performance Metrics, Resource Utilization

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Attendance tracking is a crucial aspect of daily operations in educational institutions, organizations, and offices. Traditionally, this task involves manual methods like calling out names or roll numbers, which can be time-consuming and prone to errors. The aim of this project is to revolutionize attendance management by implementing a Face Recognition-based system, automating the process and enhancing efficiency. This innovative system, installed in classrooms or designated areas, utilizes facial recognition technology to identify and mark attendance. Students' information, including their names, roll numbers, class, section, and photographs, is stored and trained within the system. OpenCV is employed to extract facial images for training purposes .The system operates by capturing images of individuals approaching the device before the start of the class. These images are then processed through several stages: facial detection using a Haar cascade classifier, facial recognition utilizing the LBPH (Local Binary Pattern Histogram) Algorithm, comparison of histogram data with the established dataset, and automatic attendance marking. An Excel sheet is generated and updated regularly with attendance information, ensuring accurate record-keeping. Overall, this project offers a modernized approach to attendance management, leveraging advanced technology to streamline processes and improve time management in educational and organizational settings.

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 Keywords

Face Recognition-based system, OpenCV, Haar cascade classifier, LBPH (Local Binary Pattern Histogram) Algorithm

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Amidst the dynamic and ever-changing business environment of today, entrepreneurs encounter a multitude of obstacles in streamlining their activities and attaining long-term expansion. Artificial intelligence (AI) integration has become a promising tool for improving efficiency, simplifying processes, and overcoming operational challenges in startup ecosystems. This paper examines the current use of artificial intelligence (AI) to improve the efficiency of startup operations. It discusses the importance of adopting AI, the main obstacles faced, and the rising trends in the startup industry. This paper explores the complex and diverse role of artificial intelligence (AI) in startup environments, using secondary data analysis. The paper highlights the potential of AI to revolutionize operations and enhance competitiveness by analyzing existing literature. Ethical AI practices are becoming increasingly important in the adoption of AI in startups. These policies prioritize transparency, justice, and responsibility in the decision-making processes driven by AI. Furthermore, it is crucial to make investments in AI-powered cybersecurity solutions in order to protect against ever-changing cyber threats and secure valuable data. In addition, the report emphasizes developing patterns such as the integration of artificial intelligence (AI) in edge computing. This integration provides startups with chances to analyze data in proximity to its origin, hence decreasing delays and facilitating instantaneous decision-making. Startups can improve their operational agility, responsiveness, and scalability by adopting these new trends and utilizing AI technologies.

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 Keywords

Artificial Intelligence, Startups, Operational Efficiency, Ethical AI, Cybersecurity, Emerging Trends.

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