Volume 9 | Issue 6

 Abstract

Transforming legacy systems into modern Enterprise Resource Planning (ERP) systems is a complex but crucial task for large organizations striving to maintain competitiveness and operational efficiency. Legacy systems, often characterized by outdated technologies, limited integration capabilities, and high maintenance costs, pose significant challenges during ERP implementations. This paper explores the strategies that large organizations can employ to ensure successful ERP implementations, focusing on overcoming the unique challenges associated with legacy systems. One of the primary challenges in legacy system transformation is data migration. Organizations must ensure that data from outdated systems is accurately and efficiently transferred to the new ERP system without loss of integrity. This paper highlights best practices for data cleansing, mapping, and validation, which are essential for mitigating the risks associated with data migration. Additionally, the paper discusses the importance of establishing a robust data governance framework to maintain data quality throughout the implementation process. Change management is another critical factor in the success of ERP implementations. The paper emphasizes the need for organizations to develop comprehensive change management strategies that address the cultural and operational shifts required by ERP systems. This includes stakeholder engagement, training programs, and continuous communication to ensure that all levels of the organization are aligned with the transformation objectives. Integration of the ERP system with existing IT infrastructure is another significant challenge, particularly in large organizations with complex technology landscapes. The paper outlines strategies for seamless integration, including the use of middleware, APIs, and microservices architectures to ensure that the new ERP system can interact effectively with other enterprise systems. This section also examines the role of cloud-based ERP solutions in facilitating integration and scalability. The paper further discusses the importance of selecting the right ERP solution that aligns with the organization's strategic goals and operational needs. It provides a framework for evaluating ERP vendors and solutions, considering factors such as scalability, customization capabilities, and support services. The role of external consultants in providing expertise and guidance during the selection and implementation process is also explored. Finally, the paper addresses the post-implementation phase, which is critical for realizing the benefits of ERP systems. It emphasizes the need for continuous monitoring, optimization, and support to ensure that the ERP system evolves with the organization's needs. The paper concludes with a discussion on the future trends in ERP implementations, including the rise of AI and machine learning in enhancing ERP functionalities and decision-making processes.

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ERP implementation, legacy systems transformation, data migration, change management, system integration, cloud ERP, vendor selection, post-implementation optimization, large organizations, enterprise resource planning

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The unification of Kannada-speaking regions into a single state was a transformative movement that began in the late 19th century. This effort, initially driven by cultural and literary figures, evolved into a significant political struggle supported by a range of leaders and organizations. The eventual formation of Karnataka in 1956 was a milestone in this process, reflecting both achievements and ongoing regional disparities. This article provides an in-depth exploration of the historical context, key figures, major milestones, and the enduring impacts of the Kannada unification movement.

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Key words : Kannada Unification , Linguistic Nationalism, Aluru Venkata Rao , Karnataka Gatha Vaibhava , Karnataka Vidya Vardhaka Sangha , Political Mobilization, Regional Disparities , ndian National Congress , Karnataka Ekikarana Sangha , State Reorganization , Post-Independence Challenges

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Social network analysis has gained much attention in recent times. A graph can be used to depict social networks. In the analysis of social networks, every individual is denoted as a node, and the connections between them are represented as edges. Identifying communities and representing the interactions between entities and individuals in real-world network graphs is a difficult task. There are numerous established methods for locating the linked nodes that eventually result in the discovery of communities. This paper presents a novel method for community detection in social networks by integrating unnormalized spectral clustering with the k-nearest neighbors (KNN) algorithm. The approach leverages the strengths of spectral clustering for global structure analysis and KNN for local neighborhood refinement. The primary objective of the algorithm proposed in this study is to identify and eliminate any noisy nodes from the identified communities, hence enhancing the quality of the identified communities. Experimental results on synthetic and real-world datasets demonstrate the method's effectiveness in accurately identifying community structures.

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Community Detection, Social Networks, Spectral Clustering, K-Nearest Neighbors (KNN).

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Video super-resolution (VSR) aims to enhance the visual quality of low-resolution videos by generating corresponding high-resolution frames. Traditional methods for VSR often suffer from limitations in handling complex motion patterns and preserving temporal consistency across frames. This paper proposes an efficient VSR approach leveraging generative adversarial networks (GANs) and temporal consistency constraints to address these challenges. Our method consists of two key components: a generator network that learns to map low-resolution video frames to their high-resolution counterparts and a discriminator network that distinguishes between generated and real high-resolution frames. Additionally, we introduce temporal consistency constraints to ensure smooth transitions between consecutive frames in the super-resolved video sequence. Experimental results on benchmark datasets demonstrate that our proposed approach achieves state-of-the-art performance in quantitative metrics and visual quality, effectively enhancing low-resolution videos' resolution and temporal coherence

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Component, formatting, style, styling, insert

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The global entrepreneurial landscape is witnessing a paradigm shift with startups emerging as pivotal players in economic development. This research paper conducts a comparative analysis of entrepreneurial ecosystems in leading global startup hubs, aiming to unravel the key success factors that entrepreneurs navigate. With a focus on regions such as Silicon Valley, Tel Aviv, Berlin, and Bangalore, the study employs a multidimensional approach, encompassing funding landscapes, government policies, talent availability, network density, and cultural nuances. By synthesizing qualitative interviews, surveys, and secondary data, the paper elucidates the intricacies of each ecosystem. Findings are anticipated to provide policymakers, entrepreneurs, and stakeholders with actionable insights, fostering informed decisions to bolster local ecosystems and contribute to sustained economic growth and innovation.

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Entrepreneurial Ecosystems, Startup Hubs, Economic Development, Entrepreneurial Strategies, Funding Landscape, Sustainable Growth, Global Comparative Analysis

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Numerical analysis is a critical branch of mathematics and computer science that provides methods and algorithms for solving mathematical problems arising in various fields, including engineering, physics, finance, and computer science. This abstract explores the fundamentals of numerical analysis, emphasizing the core algorithms and their diverse applications. The foundation of numerical analysis lies in the development and analysis of numerical algorithms, which are step-by-step procedures designed to approximate solutions to mathematical problems that may be challenging or impossible to solve analytically. These algorithms are essential for tackling real-world problems where analytical solutions are often impractical due to complexity or nonlinearity. This abstract delves into the key components of numerical analysis, starting with the basics of approximation theory and error analysis. It highlights the importance of understanding the limitations and sources of error in numerical computations, emphasizing the trade-offs between accuracy and computational efficiency. Numerical stability, an essential concept, is explored to ensure that algorithms produce reliable results in the presence of rounding errors and computational imprecisions. The abstract then explores various numerical techniques, including interpolation, numerical integration, and solution of linear and nonlinear equations. The focus extends to iterative methods and optimization algorithms, illustrating their role in solving large-scale problems encountered in scientific and engineering applications. Additionally, the abstract discusses the numerical treatment of differential equations, a crucial aspect with widespread applications in physics, engineering, and biology. To illustrate the practical significance of numerical analysis, this abstract presents a selection of applications across different domains. Examples include finite element analysis for structural engineering, numerical simulation of fluid dynamics, and financial modeling for risk assessment. The role of numerical algorithms in image processing, machine learning, and data analysis is also highlighted, showcasing the interdisciplinary nature of numerical analysis. In conclusion, this abstract provides an overview of the fundamentals of numerical analysis, emphasizing the development, analysis, and application of numerical algorithms. By understanding these fundamentals, researchers, engineers, and practitioners can employ robust numerical techniques to address complex problems in a wide range of scientific and engineering disciplines. The abstract encourages further exploration of advanced numerical methods and their integration into emerging technologies, contributing to ongoing advancements in computational science.

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Numerical Analysis, Algorithms and Applications

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As the number of companies continues to grow, there arises a need for establishing a mechanism that accurately portrays the structure and operations of any business entity. In this regard, the concept of corporate governance plays a crucial and indispensable role. Numerous stakeholders are invested in the performance of these companies, and shareholders, in particular, seek assurance that the company operates with transparency in all its business actions and critical decisions. While companies are artificial entities, it is unjust to hold the entire corporate responsible for any fraud committed by an insider. Corporate governance addresses this issue by providing provisions to uncover the truth and hold the real individuals behind corporate frauds accountable. In India, SEBI has introduced clause 49, which outlines mandatory and non-mandatory parameters that every listed company must adhere to. The main focus of this paper is to comprehensively understand the concept of corporate governance and its significance in the Indian market. Furthermore, the paper will discuss the major opportunities and challenges faced in implementing corporate governance in India.

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Corporate Governance, India, Challenges, Opportunity, SEBI Clause 49

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Menopause involves hormonal changes that cause physical symptoms which vary from woman to woman. The vasomotor symptoms include hot flushes and night sweats. The vaginal symptoms include uterine prolapsed and vaginal atrophy. During high intensity exercise, when the minute ventilation increase, the work of abdominal muscles is required to increase expiratory flow rate. The enhanced abdominal muscles activity during exercise helps expiration of air out of the lungs which result in decrease in the end-expiratory lung volume. Aim: The purpose of the study is to understand the effect of abdominal muscle strengthening exercises and thoracic mobility exercises and to determine general activity improvement in post-menopausal females. Methodology: Quasi experimental design, Simple random sampling, 30 post-menopausal women were divided into 3 groups, Group 1 performed thoracic mobility exercises and Group 2 performed abdominal muscle strengthening exercises and Group 3 performed both thoracic and abdominal muscle strengthening exercises. Result: Within the group pre and post intervention comparison was done by chi-square test. Normality test was done by Shapiro-Wilk test. The intervention was given twice a day for 2 weeks. Post exercise outcome measures were measured. The mean difference of PEFR for group A was 21 and for group B was 19 and for group C was 27. Our study concluded that group C who did both thoracic mobility and abdominal muscle exercises was more significant as comparison to group A who did only thoracic mobility exercise and group B who did only abdominal muscle strengthening exercises. Although group A and group B also showed significant result. Conclusion: Combined thoracic mobility and abdominal muscle strengthening exercises were more effective as comparison to single thoracic mobility and single abdominal muscle strengthening exercises.

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post-menopausal females, thoracic mobility, chest expansion, abdominal exercises, strengthening exercises, chest mobility exercises

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Examinations of the photochemical literature of uranium compounds clearly indicate that attention has been given to uranium hexafluoride (UF6) extensively. The economics of laser isotope separation have dictated the directions of much of the applied photochemical research on UF6 and other volatile uranium compounds. Presently, we report the photochemical investigations carried out in our laboratory on various volatile uranium compounds namely UF6, uranium tetrahydroborate, U(BH4)4 and uranyl hexafluoro-acetylacetonate tetrahydrofuran UO2(hfacac)2. THF using conventional lamps and various lasers sources in UV/visible and infracted regions. Incidentally we have demonstrated laser isotope separation of uranium using the last compound.

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Uranium hexafluoride, Laser isotope separation, Conventional lamps, UV-visible]

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 Abstract

BADAL SIRCAR BANGLA TATTIK NATTYAKAR O UDBHOT NATAK BHOMA.

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BADAL SIRCAR BANGLA TATTIK NATTYAKAR O UDBHOT NATAK BHOMA.

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Tourism has become a universal sensation. Hospitality industry is also on boom. Destinations in Asia, Oceania are becoming popular day by day. A growing thirst for adventure and a rapidly growing interest in clean nature are generally considered to be the factors that support the region. As India is strategically located and has a tremendous natural and cultural wealth of tourism resources, this is the right time to positively influence the influx of tourists by promoting new and emerging forms of tourism. Over time, adventure tourism is becoming a diverse tourism product. With the source of getting adventure tourists, this study focuses on the support and role of hospitality sector in promoting Adventure Tourism, in this a small survey has been done in various adventure tourist destinations in Kangra, Shimla and Kullu region of Himachal Pradesh.

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Tourism, Hospitality, Hotel, Adventure Tourism, Himachal Pradesh

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The ultrasonic velocity (u) and density (?) has been measured for binary liquid mixture of Tetrahydrofuran with Amyl alcohol at different temperatures (303.15K, 308.15K and 313.15 K) for a constant frequency (2 MHz). Acoustic parameters like isentropic compressibility (?s), intermolecular free length (Lf), and molar volume (Vm) for the solution have been computed. The excess values of the parameters are also calculated and discussed.

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Ultrasonic velocity, density, binary liquid mixture, isentropic compressibility intermolecular free length.

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Biographical Variables, Human Values, Sex, Type of Management, Medium of Instruction

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Indian culture, Oriya culture, poetry, sensibility, self-exploration, self-discovery.

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The purpose of this study is to understand the perspectives of Internet of Things (IoT) which is being widely accepted and implemented by the large numbers of domestic and commercial users for various day-to-day applications to facilitate the optimum use of devices/objects (things) over the internet. IoT fulfills the requirements of almost all kind of users to use their domestic and commercial equipments/ devices by accessing them remotely over the internet. As the backbone of IoT is internet, so provision of security of data and information being exchanged is important for users and service providers. The fact that IoT is so expansive and affects practically all areas of our lives, makes it a significant research topic for studies in various related fields such as information technology and computer science. Thus, IoT is paving the way for new dimensions of research to be carried out. This paper will cover design paradigms, types and applications of IoT with security challenges in remotely accessing of heterogeneous networks and devices.

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The tribals of Nandurbar district have their own Traditional landraces of Lablab beans. Lablab beans landraces are discussed here with their morphological and ethnobotanical characters.

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Tribals, Lablab beans, ethnobotany, Akrani, Nandurbar, etc.

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In this paper, Class Management System provides a simple interface for maintenance of important data as well as notification. It can be used by the college to maintain the records of all current appearances easily. In this application we maintain all the up-to-date news like the events, workshop and notifications like current lecture, assignment, test mark all these carried out in the department. Also the Time-Table of all the semesters is display and which is also updated. In this application, parents are able to see progress of their student. Also the attendance of the students is stored and their marks in each subject can be displayed. This system interface between student, teacher and parent. So, the each students, staff and guardian have its own user name and the password.

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-Classroom Management System; Timetable Generation; Event, Assignment and Lecture Notification.

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The method of topological roughness and constructed according to the Andronov- Pontryagin concept of roughness, is under consideration. The method is used for research of roughness and bifurcations of dynamic and synergetic systems of various physical nature, chaos in these systems too.

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TOPOLOGICAL ROUGHNESS

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Political Science

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Political

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