International Journal of New Practices in Management and Engineering <h2>International Journal of New Practices in Management and Engineering</h2> <div id="content" style="font-family: Arial; text-align: justify;"> <div><strong>e-ISSN: </strong> 2250-0839<strong> | Frequency Quarterly </strong>(4 Issue Per Year)<strong> | Nature: </strong>Online<strong> | Language of Publication: </strong>English<strong> | Article Processing Charges: </strong>None (Free of cost)<strong> | Publisher: </strong>Auricle Global Society of Education and Research</div> <div> </div> <div id="journalDescription"><strong>Introduction</strong> <br />The <strong>International Journal of New Practices in Management and Engineering (IJNPME)</strong> offers an avenue for researchers and practitioners to present contemporary issues associated with management and Engineering. The journal publishes peer-reviewed papers, case studies, technical notes, and discussions of interest to the practice of Engineering and Management.</div> <div>Management and leadership issues include trends in Engineering technologies, contract management, project management, partnering, office management, professional practice and development, financial management, human resources management, marketing and sales, ethics, technology and innovation management, information management, continuing education, organizational theory, strategic planning, conflict management, negotiating, risk management, globalization, networking, change management, teamwork, team building, communication, mentoring, coaching, and diversity. Papers discussing legislative and regulatory issues, corporate and public policy, and the role of engineering in the political process at all levels of government are welcomed. Interdisciplinary studies and collaborations are encouraged. Theoretical papers submitted for publication should preferably include real-world applications of the techniques. <br /> <div class="row"> <div class="jumbotron" style="padding: 10px; margin-bottom: 5px;"> <p><strong>Basic Journal Information</strong></p> <ul class="list-group"> <li class="list-group-item show"><strong>e-ISSN: </strong> 2250-0839 | <strong>Frequency</strong> Quarterly (4 Issue Per Year) | <strong> Nature: </strong> Online | <strong>Language of Publication: </strong> English | <strong>Article Processing Charges: </strong>None (Free of cost) | <strong>Funded By: </strong>Auricle Global Society of Education and Research</li> <li class="list-group-item show"><strong>Coverage Areas: </strong>Although the list is not prescriptive, IJNPME intends to focus on advances in the following sub-domains: <ol> <li>New Trends in Engineering Technology</li> <li>Professional Practice and Development</li> <li>Human Resource Management</li> <li>Technology and Innovation Management</li> <li>Creativity and Technical Entrepreneurship</li> <li>Technical Organisations and Their Management</li> <li>Leadership and HRM; Motivating/Leading Technical People</li> <li>Product Development, R&amp;D, Design Management</li> <li>Managing Engineering and Production Operations</li> <li>Project Planning, Acquisition, Organisation, Leadership/Control</li> <li>Financial Management for Engineers, Cost Estimation/Accounting</li> <li>Decision-Making Processes</li> <li>Technology and Knowledge Management</li> <li>Planning, Forecasting and Marketing Issues</li> <li>Project and Risk Management</li> <li>Economic Decision/Capital Investment Analysis; Design/Project Economics</li> <li>Education</li> <li>Engineering Management in the Service Industry</li> <li>Public Policy Analysis</li> </ol> </li> <li class="list-group-item show" style="text-align: justify;"><strong>Types of Papers: </strong>The Journal accepts the following categories of papers:<br /> <ul> <li>Original research</li> <li>Position papers/review papers</li> <li>Short-papers (with well-defined ideas, but lacking research results or having preliminary results)</li> <li>Technology Discussion/Overview Papers</li> </ul> </li> <li class="list-group-item show" style="text-align: justify;"><strong>Peer Review Process: </strong>All submitted papers are subjected to a comprehensive blind review process by at least 2 subject area experts, who judge the paper on its relevance, originality, clarity of presentation and significance. The review process is expected to take 8-12 weeks at the end of which the final review decision is communicated to the author. In case of rejection authors will get helpful comments to improve the paper for resubmission to other journals. The journal may accept revised papers as new papers which will go through a new review cycle.</li> <li class="list-group-item show" style="text-align: justify;"><strong>Periodicity: </strong>The Journal is published in 4 issues per year.</li> <li class="list-group-item show" style="text-align: justify;"><strong>Citation Analysis: <a href=";user=odFGTaMAAAAJ&amp;view_op=list_works&amp;alert_preview_top_rm=2&amp;authuser=3&amp;gmla=AJsN-F5TlxwUwy17ZhOdLpBk6wp4H3nXxvsv4CW3ttcl2D2rrygdXZAAUJFNBy0FmQmDp1EdPwGNQpONfXRioRb2uRsjYLQFEg" target="_blank" rel="noopener">Google Scholar Profile</a> | </strong><a href=""><strong>Scopus</strong></a> </li> <li class="list-group-item show" style="text-align: justify;"><strong>Global Author Contribution Map: <a href="" target="_blank" rel="noopener">Author Distribution </a></strong></li> <li class="list-group-item show" style="text-align: justify;"><strong>Geographical Distribution of Authors: </strong>India, Iraq, Malaysia, China, Ethiopia, Pakistan, Mexico, Indonesia, Bhutan, Peru, Taiwan, Jordon</li> <li class="list-group-item show" style="text-align: justify;"><strong>Editorial Geogrphical Distribution: </strong>India, USA, UK, Malaysia, Indonesia, China, Yemen, Iraq, Iran, Russia, Brazil, South Africa, Ethiopia, Pakistan, Egypt, Jordon</li> <li class="list-group-item show" style="text-align: justify;"><strong>Editorial Contribution Percentage in Articles Per Year:</strong> 30%</li> </ul> </div> </div> </div> </div> Auricle Global Society of Education and Research en-US International Journal of New Practices in Management and Engineering 2250-0839 Enhancing Image Segmentation: A Novel Grow Cut Algorithm with Advanced Cellular Automata <p>Image segmentation is a fundamental technique pivotal in a myriad of vision-related applications, yet the field lacks a universally accepted methodology for selecting and comparing segmentation algorithms. This absence of standardization can lead to inaccurate interpretations and unexpected results, underscoring the inherent challenges of image segmentation, which lacks a definitive meaning. In computer graphics, segmentation refers to the division of a pixel collection into subsets, a concept that aligns with other scholarly interpretations, albeit with debated criteria. This process echoes human cognitive behaviour, specifically pattern recognition, amplifying the complexity of segmentation challenges. Various methodologies characterize the landscape of image segmentation, where one prevalent approach involves text retrieval to generate localized feature sets. Object recognition in computer science, which entails the automatic classification of objects, intertwines deeply with image segmentation, enhancing the understanding of objects within images. The chosen segmentation algorithm critically influences the overall outcome, necessitating meticulous selection tailored to specific frameworks. Despite the availability of numerous segmentation techniques, their complexity often deters practical research applications. This research delves into an enhanced graph cut method for distinguishing foreground and background elements through image labelling and segmentation. This approach is scrutinized against performance metrics to evaluate the efficacy of the proposed algorithm in image segmentation. By methodically comparing results, this study aims to provide insights into the algorithm's effectiveness, contributing to the broader discourse on segmentation techniques and their applicability in various vision-related fields.</p> Raman Gaur Toofan Mukherjee Akash Dadhich Copyright (c) 2024 2023-09-30 2023-09-30 12 3 07 21 Optimizing Brain-Computer Interface Reception: A GUI Design for Enhanced Signal Acquisition from the Peripheral Nervous System <p>This paper presents a novel approach to optimizing the reception of brainwave signals from the Peripheral Nervous System (PNS) through the design of a Graphical User Interface (GUI) for Brain-Computer Interface (BCI) systems. The efficient acquisition of signals from the PNS is essential for the accurate interpretation of neural activity and subsequent interaction with external devices. Our proposed GUI design focuses on enhancing signal acquisition by providing intuitive visualization tools and real-time feedback mechanisms. Through a combination of user-centered design principles and advanced signal processing algorithms, the GUI facilitates the seamless integration of PNS signals into BCI systems, enabling more robust and responsive neurofeedback applications. We discuss the key features of our GUI design, its potential applications in neurorehabilitation, cognitive enhancement, and assistive technology, and outline future directions for research in this rapidly evolving field.</p> Dipannita Debasish Mondal Mukil Alagirisamy Copyright (c) 2024 2023-09-30 2023-09-30 12 3 01 06