Structural Analysis of Tunnel using FEA

Tunnels are typically built for transportation, such as roads, railways, or canals, but they can also be used for other purposes, such as mining, sewerage, or water supply. Tunnels allow us to travel safely and efficiently through difficult terrain, and they provide us with access to essential resources such as water and energy. The objective of current research is to evaluate the structural characteristics of tunnel structure under geo-mechanical loading conditions. The structural analysis of tunnel is conducted using techniques of FEA. The CAD modelling and FEA simulation of tunnel is conducted using ANSYS simulation package. The shear stress, normal stress and deformation data are generated. From the generated data, the critical regions are identified and the lateral zone of tunnel is one of them. This region is likely to induce damage in the form of crack

Deep Learning Unveils Hidden Insights: Advancing Brain Tumor Diagnosis

Timely detection and treatment are crucial in managing brain tumors, a severe medical condition. MRI is a commonly used diagnostic tool to detect brain tumors. However, because of the complex structure of the brain and the wide range of tumors sizes and forms, MRI scan interpretation can be time-consuming and error-prone. The automated detection and segmentation of brain tumors has shown encouraging results with to recent developments in DL techniques. We suggest a CNN-RNNs and GANs based DL technique for brain tumor identification in this paper. Transfer learning and data augmentation techniques are used in the suggested method to train the CNN on a sizable dataset of MRI images labelled with tumor areas. The suggested strategy, according to experimental findings, is more accurate than the most advanced techniques now available for finding brain tumors. The suggested strategy has the potential to help radiologists identify brain tumors quickly and reliably, improving patient outcomes

The Impact of AI on Recruitment and Selection Processes: Analysing the role of AI in automating and enhancing recruitment and selection procedures

Human resource management is the process of identifying, recruiting, hiring, and training talented individuals, as well as providing them with career advancement possibilities and critical feedback on their performance. The purpose of this study was to investigate the function of AI in HRM practises using qualitative bibliometric analysis. Scopus, emerald, and the Jstore library are used as data sources. This analysis contains adjustments to data spanning 18 years. It also showed that there is a constant improvement and introduction of new technological conveniences. In accordance with the present market climate, which promotes and celebrates process management and people management practises targeted at making the organisation economically viable and different from the competition, this is a positive development. This work advances the theoretical understanding of AI\u27s growth in the HR sector in light of this reality. Articles and proceedings examined in this research reveal that different authors and academic institutions provide different perspectives on the problem

Knowledge Transfer: A Critical Review of Research Approaches

Knowledge transfer occurs when individuals in the organization share knowledge, skills, recommendations, and ideas pertinent to the organization. Individuals, members of one group, or members of different groups communicate. Direct commitment between the broadcaster and receiver is necessary to ensure that knowledge sharing is successful. Knowledge transfer considers sharing information throughout the organization\u27s divisions and employees. There has been tremendous growth in the amount of study done on knowledge generation and transfer. The latter is caused by knowledge development and transfer, both of which increase an organization\u27s competitiveness. Since the beginning of knowledge management research in the middle of the 1990s, the theoretical development of knowledge transfer has continued to grow. The researcher conducted a critical review of the literature to evaluate the various research approaches utilized by past studies. The paper tries to review and summarize the different approaches which will guide future research studies in knowledge transfer

A Review of Sustainable Growth challenges faced by Small and Medium Enterprises

The idea that businesses with a focus on increasing shareholder value were successful is a thing of the past. The last few years have seen a big shift in the trend; now, firms are required to consider social and environmental factors when making choices in order to provide value for all stakeholders in addition to shareholders. The results of earlier studies have confirmed the crucial role that organisations play in shifting the emphasis from rapid development to sustainable development. Small and medium enterprises (SMEs) have been recognized for their socio-economic contribution. Thus, the concept of sustainable growth is extremely relevant to SMEs. In this paper the researcher conducted review of extant literature to trace the conceptual development of sustainable development and growth. The researcher provides a conceptual overview of the challenges of sustainable growth of the SMEs. The study is significant as it extends the knowledge and paves the way for further research

A Study Of Bed Occupancy Management In The Healthcare System Using The M/M/C Queue And Probability

Many diverse healthcare systems, including hospitals, laboratories, pharmaceutical business, radiology, organ transplant etc. have been modelled and studied using queuing models. Due to their analytical nature and capacity for speedy resolution, queueing models are well-liked by researchers and system designers and can offer reasonably accurate assessments of system performance. The problem of allocating the ideal number of beds to different wards, as well as assigning roles to doctors in various hospital wards and outside the hospital, is one that health care management is now dealing with. In this paper, we will use (M/M/C) queue to explore bed occupancy management, patient movement, and ideal bed counts in hospitals. Additionally, we will look for the probability that a patient will be chosen for a bed allocation and the expected occupancy rates for a specific time frame

Analysing the Efficacy of Training Strategies in Enhancing Productivity and Advancement in Profession: Theoretical Analysis in Indian Context

An assessment of those needs, also known as a needs analysis, must be carried out in order to ascertain if the organization\u27s requirements, objectives, and concerns can be achieved or addressed via training. In conducting our research, we reviewed training and development-related writing from 1971 to 2023. We believed that the use of more sophisticated training evaluation techniques and statistical approaches, together with an increase in the technological complexity of training design and methodology, set the post-1971 era apart. To be effective, a qualitative review must place more of a focus on qualitative methods of evaluating training effectiveness. Similar to earlier training and development reviews, the present study considered practitioner-oriented literature if it met the criteria listed below for inclusion. A thorough search of the academic literature was conducted to find empirical studies that assessed training programmes or examined the effectiveness of specific training components. After reviewing their abstracts, it was decided to keep 58 articles and papers since they had the proper information. Our research showed that organisations with a strong reputation for employee development are a completely different tale. The majority of businesses monitor the effects of their training efforts in the area of organisational effectiveness. For the second category, increases in productivity, revenue, and profitability are typical signs of organisational success. Overall, there is far more research on team and individual benefits than there is on organisational ones

Optical Upconversion Properties Of Tm2O3 / Yb2O3 Doped Lead Tellurite Glasses

The melt-quench process was used to create the lead-tellurite glasses codoped with lanthanides as thulium and ytterbium. Thermal characterization carried by differential scanning calorimetry. X-ray diffraction is studies to get the nature of sold sample. The UV-Visible-IR absorption spectra was carried in range of 300 nm to 1100 nm. There were four unique absorption peaks on the glass thulium –ytterbium doped glass. The frequency up-conversion (UC) fluorescence has been seen at room temperature by 975 nm excitation

Unleashing the Power of Multi-Agent Deep Learning: Cyber-Attack Detection in IoT

Detecting botnet and malware cyber-attacks is a critical task in ensuring the security of computer networks. Traditional methods for identifying such attacks often involve static rules and signatures, which can be easily evaded by attackers. Dl is a subdivision of ML, has shown promise in enhancing the accuracy of detecting botnets and malware by analyzing large amounts of network traffic data and identifying patterns that are difficult to detect with traditional methods. In order to identify abnormal traffic patterns that can be a sign of botnet or malware activity, deep learning models can be taught to learn the intricate interactions and correlations between various network traffic parameters, such as packet size, time intervals, and protocol headers. The models can also be trained to detect anomalies in network traffic, which could indicate the presence of unknown malware. The threat of malware and botnet assaults has increased in frequency with the growth of the IoT. In this research, we offer a unique LSTM and GAN-based method for identifying such attacks. We utilise our model to categorise incoming traffic as either benign or malicious using a dataset of network traffic data from various IoT devices. Our findings show how well our method works by attaining high accuracy in identifying botnet and malware cyberattacks in IoT networks. This study makes a contribution to the creation of stronger and more effective security systems for shielding IoT devices from online dangers.  One of the major advantages of using deep learning for botnet and malware detection is its ability to adapt to new and previously unknown attack patterns, making it a useful tool in the fight against constantly evolving cyber threats. However, DL models require large quantity of labeled data for training, and their performance can be affected by the quality and quantity of the data used.  Deep learning holds great potential for improving the accuracy and effectiveness of botnet and malware detection, and its continued development and application could lead to significant advancements in the field of cybersecurity

Indian Hindi Cinema and Queer Gaze: Presentation Of LGBTQ+ In Bollywood

Cinema has long been a pillar of our culture. On a variety of subjects, it shocked, amused, inspired, and exceeded hopes and expectations. Film is also seen as a powerful tool for accelerating social change, subtly influencing society\u27s way of thinking. Indian cinema is said to have different genres as they should appeal to a wide range of audiences. The topic undergoes constant paradigm shifts. Various epics, myths, tales, and retellings of side stories were shown at the beginning of the movie. The film then highlighted the ideas of the freedom movement and Gandhi\u27s philosophy. More recently, true events have been incorporated and film actors have waged battles for social justice. In addition, through widespread publicity, they started enacting important changes that affected politics and other political dramas. The contents of the film are frequently taken from society and vice versa, and the term is used to designate a broad range of sexual identities, including non-cisgender. Without a doubt, the LGBT movement in India has benefited enormously from the movies. Like many other modern social movements, the Indian queer movement seeks to change society. a shift in our perception of sexuality away from seeing it as a passing phase. His objective is to dismantle the constructed barriers of predominate notions that characterize the typical adult\u27s sexual world