Volume 9 | Issue 6 | June-2021

 Abstract

The construction of large marine infrastructures such as wharves and berths is complex by nature and rife with environmental, technical, and operational risks. Classical deterministic scheduling methods often become obsolete in these settings due to greater uncertainty. The present study proposes a risk-based scheduling framework that caters model characteristics for marine construction. The suggested framework uses risk analysis tools such as the Monte Carlo simulation, Program Evaluation and Review Technique (PERT), and Failure Mode and Effects Analysis (FMEA) for support in order to establish schedule realism and resilience. This case demonstrates how the framework application resulted in better predictability of timelines, visibility of risks, and a high level of project control during the redevelopment of a container terminal. Quantitative and qualitative risk analyses were carried out for informing aspects of the timetable; these analyses, combined with scenarios, simulations, and float management strategies, helped to mitigate probably disruptions. The results demonstrate that dynamic and risk-aware scheduling can lead to great performance in construction projects and reduced exposure to costs arising from delay in marine construction.

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 Keywords

Marine construction, risk-based scheduling, project management, wharf and berth projects, Monte Carlo simulation, PERT, FMEA, schedule risk analysis, maritime infrastructure, uncertainty mitigation, contingency planning, probabilistic scheduling.

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Abstract This paper examines the innovative educational policies and initiatives introduced by the Travancore royal family from the early 19th century to the early 20th century. By analysing reforms implemented by Rani Gouri Parvathi Bayi, Maharaja Swathi Thirunal Rama Varma, Maharaja Marthanda Varma, Maharaja Ayilyam Thirunal Rama Varma, Maharaja Moolam Thirunal Rama Varma, Rani Setu Lakshmi Bayi, and Maharaja Sree Chithira Thirunal Rama Varma, the study elucidates how a blend of traditional knowledge and modern educational practices laid a robust foundation for Kerala's high literacy rates and social inclusivity. The paper discusses the historical context, specific policy implementations, and the lasting impact these reforms have had on the state's educational landscape.

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 Keywords

Royal patronage, educational reforms,Sangam age,Proclamation,Oriental,Western education,eqality,Shift system,Scholarship

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Landmine identification is one of the most important aspects of combat since it allows armed vehicles to be deployed into enemy territory. These armed vehicles or main battle tanks follow the path of the pilot tank, which is manually operated to avoid battle tank damage/distraction and defensive crew casualties. Furthermore, post-war, mines buried during battle can be identified and diffused by deploying a mine detection robot, saving civilian lives and avoiding human casualties. So we're creating a prototype model of an automated guided vehicle. The safety of humans was addressed and created with a particular set of sensors used to avoid obstructions. This project prototype was fabricated utilizing a lightweight, temperature-resistant metal. A Global Positioning System (GPS) sensor determines and communicates the vehicle's current location. Path planning, obstacle recognition, and avoidance algorithms will be utilized to correctly drive the vehicle and go along the intended path while avoiding impediments. The Arduino microcontroller is used in this vehicle. The automated vehicle system incorporates a metal detector capable of detecting the landmine. Furthermore, a temperature sensor is utilized to identify landmines by measuring the temperature difference between the floor and the buried landmines. The landmine detection algorithm has been used to determine whether the acquired signal is the desired object or not.

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 Keywords

Land mine detector, Robotic System, Proximity sensor

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 Abstract

Ordinary Differential Equations (ODEs) are fundamental in modeling a wide range of phenomena in science, engineering, economics, and various other fields. However, finding exact analytical solutions to ODEs is not always possible, especially for complex, non-linear, or high-dimensional systems. In such cases, numerical methods offer a practical approach to approximating solutions. This paper explores various numerical techniques for solving ODEs, including the Euler method, Runge-Kutta methods, and multistep methods. It highlights the advantages and limitations of each approach in terms of accuracy, stability, and computational efficiency. The paper also discusses the concept of step size selection, error analysis, and the impact of discretization on the convergence of solutions. Additionally, we investigate specialized methods for stiff ODEs, which pose unique challenges due to the presence of rapidly changing variables alongside slow dynamics. Methods like the backward Euler and implicit Runge-Kutta schemes are reviewed for their effectiveness in handling stiffness. Finally, the paper presents several examples and applications to demonstrate the practical implementation of these methods and their ability to approximate solutions for real-world problems. We conclude by emphasizing the importance of choosing appropriate numerical techniques based on the nature of the problem at hand and the desired accuracy of the solution.

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 Keywords

Ordinary Differential Equations, Numerical Methods, Galerkin's Method, Runge-Kutta Methods, Stiff ODEs, Error Analysis, Stability

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Creative Commons Attribution 4.0 and The Open Definition

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This research investigates the impact of ERP (Enterprise Resource Planning) cloud integration on organizational agility and decision-making processes. As businesses increasingly adopt cloud-based solutions, understanding how these systems enhance operational flexibility and support timely, informed decisions becomes crucial. The study employs a mixed-methods approach, combining quantitative surveys and qualitative interviews across various industries to gather data on the effectiveness of cloud-based ERP systems. Preliminary findings indicate that ERP cloud integration significantly improves organizational agility by facilitating real-time data access, enhancing collaboration, and streamlining processes. Additionally, the integration fosters better decision-making through improved information flow and analytical capabilities. This research contributes to the existing literature by elucidating the relationship between cloud ERP adoption and key organizational outcomes, offering practical insights for businesses aiming to leverage technology for competitive advantage. The findings underscore organizations' need to embrace cloud ERP solutions to enhance agility and elevate decision-making effectiveness in an increasingly dynamic business environment.

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 Keywords

ERP (Enterprise Resource Planning), Cloud Integration, Organizational Agility, Decision-Making, Business Intelligence.

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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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 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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

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 Abstract

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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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 Keywords

Component, formatting, style, styling, insert

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Creative Commons Attribution 4.0 and The Open Definition