Volume 12 | Issue 6 |

 Abstract

Sarkari Evam Gair Sarkari Madhyamik Vidyalayo Mein Karyarat Shikshako Ke Vyavasayik Santusti Ka Tulnatmak Adhyayan

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Sarkari Evam Gair Sarkari Madhyamik Vidyalayo Mein Karyarat Shikshako Ke Vyavasayik Santusti Ka Tulnatmak Adhyayan

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Unmanned aerial vehicle (UAV) communication has emerged as a prominent technology for emergency communications (e.g., natural disaster) in the Internet of Things (IoT) networks to enhance the ability of disaster prediction, damage assessment, and rescue operations promptly. A UAV can be deployed as a flying base station (BS) to collect data from time-constrained IoT devices and then transfer it to a ground gateway (GW). In general, the latency constraint at IoT devices and UAV's limited storage capacity highly hinder practical applications of UAV-assisted IoT networks. In this paper, full-duplex (FD) radio is adopted at the UAV to overcome these challenges. In addition, half-duplex (HD) scheme for UAV-based relaying is also considered to provide a comparative study between two modes (viz., FD and HD). Herein, a device is considered to be successfully served if its data is collected by the UAV and conveyed to GW timely during flight time. In this context, we aim to maximize the number of served IoT devices by jointly optimizing bandwidth, power allocation, and the UAV trajectory while satisfying each device's requirement and the UAV's limited storage capacity. The formulated optimization problem is troublesome to solve due to its non-convexity and combinatorial nature. Towards appealing applications, we first relax binary variables into continuous ones and transform the original problem into a more computationally tractable form. By leveraging inner approximation framework, we derive newly approximated functions for non-convex parts and then develop a simple yet efficient iterative algorithm for its solutions. Next, we attempt to maximize the total throughput subject to the number of served IoT devices. Finally, numerical results show that the proposed algorithms significantly outperform benchmark approaches in terms of the number of served IoT devices and system throughput.

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Emergency communications, full-duplex, information freshness, Internet-of-Things, timely data collection, unmanned aerial vehicle (UAV).

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The birth of a daughter in an Indian household triggers a complex interplay of emotions and cultural norms. This paper explores the nuanced dynamics of the mother-daughter relationship in Indian literature, focusing on Manju Kapur's Difficult Daughters and Arundhati Roy's The God of Small Things. Through an analysis of the protagonists Virmati and Ammu's experiences, it aims to address a research gap concerning personal development, identity formation, and familial dynamics. Utilizing Showalter's feminist theory and contemporary research on mother-daughter bonds, the paper investigates how maternal influence shapes protagonists' choices and self-perception. It scrutinizes the impact of societal expectations and patriarchal norms on familial dynamics, particularly in romantic decisions. Moreover, it examines instances of rebellion against traditional gender roles and their repercussions within the family. By delving into familial interactions and external relationships, the study unveils the broader societal implications of protagonists' experiences. It enriches the discourse on familial influence, romantic decisions, and gender dynamics in Indian society, offering a nuanced understanding of the intricate relationships shaping individual identity and societal norms.

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mothers, daughters, feminism, gender dynamics

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 Abstract

Sarso Fasal Ki Lagat v Aay Ka Anya Nakdi Faslo Ki Lagat Aay Ke Sath Tulnatmak Adhyan

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Sarso Fasal Ki Lagat v Aay Ka Anya Nakdi Faslo Ki Lagat Aay Ke Sath Tulnatmak Adhyan

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Children's safety and well-being are vital considerations in any society, and law enforcement organisations play a critical role in protecting children from crime on a nationwide scale. This paper provides an overview of a comprehensive study that investigates the diverse function of police in numerous elements of child protection. The study investigates the many functions of the police force in dealing with crimes against children, such as prevention, intervention, and response. It dives into the legislative and policy frameworks that regulate police child protection actions, emphasising the need of coordination with other stakeholders such as social agencies, schools etc. Furthermore, the study examines the problems that law enforcement organisations confront in their efforts to safeguard children from crime, such as resource constraints, training requirements, and the developing nature of threats in the digital era. The paper also emphasises effective tactics and best practises by police for increasing child protection efforts and improving outcomes.

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Child Crime, Police, Role of Law Enforcement, Best Strategies.

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Chest X-ray (CXR) pictures are essential for the diagnosing various respiratory diseases, but accurate and efficient disease classification remains challenging. This project proposes a novel approach for disease classification from CXR pictures by employing CNN's or Convolutional Neural Networks with sophisticated algorithms including Efficient Net, Resent, Dense Net, CNN, and VGG. By utilizing these algorithms, our system seeks to enhance the efficiency and accuracy of disease classification, enabling timely diagnosis and treatment planning. Through comprehensive testing and evaluation, we prove that our method is efficient in accurately classifying chest diseases, paving the way for enhanced healthcare diagnostics and patient care.

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Efficient Disease Classification from Chest X-Rays Using CNN with DenseNet-201

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The contributions of control systems and information technology are important in the functioning of today's world. Further, these systems have brought changes in communication modalities that have been no less profound. Combining industrial safety concepts with the powerful communication features of Internet, feasible network solutions can be designed using either wired or wireless networks. In these networks, Web based remote Safety is classified into different categories based on the research directions such as major research, Safety the process/ operations with the web enabled platform, process Safety with control features over the web platform and Safety, control as well as reporting and fault diagnosis features. The web enabled Safety and control platform have many advantages for the engineering community as well for the business community such as Safety the process and operational performance of the entire system from a remote location, providing expert support for performance optimization and minimizing the downtime between failures on the system control level or plant level. Recent research attempts that have been made in the web-based platforms for applications at different levels are in the areas of educational laboratory experimental studies, industrial applications etc., where the operations are required to be continuously monitored, controlled and fault diagnosis to be done away from plant locations. However, detailed analysis of various web-based remote Safety and control systems shows that most of the difficulties exist in architecture, data transfer, web-based graphical user interface, multiple user access, security and safety.

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Safety, World Wide Web, Supervisory Control and Data Acquisition.

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 Abstract

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The employment nature in the insurance sector is extremely challenging due to acute flexibility through resource management. Since, mostly for all employees, the sources of job reward remain limited to the salary only expectation to gain incentives and create a threatening atmosphere of competition and loss of job security. This situation creates job stress and brings decline in performance and lack of commitment towards job. As the insurance sector is dynamic in nature, economic fluctuations can create uncertainty. The main object of this study is to investigate the relationship between job stress and organizational commitment among insurance sector employees in palakkad district. The study aims to provide insights into the challenges faced by insurance sector employees. A sample of 93 employees was selected by stratified sampling method. The findings of the study reveal that there is significant negative relationship between job stress and organizational commitment among insurance sector employees.

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resource management, insurance sector, customer expectation, job stress, organisational commitment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition