International Journal Of Sociotechnology And Knowledge Development Ijskd Volume 6

This is an open access book. Faculty of Social and Political Science, State Islamic University Walisongo Semarang, has been playing significant roles in building global peace and justice by conducting scientific research and creating a space for academic dialogue and discussion. This goal is in line with our vision to be a Research Faculty based on the unity of sciences for humanity and civilization. As part of the efforts to create a space for academic dialogue at a global level, we organize an international conference which aims to develop scientific knowledge, build institutional capacity, and strengthen international networking. The conference is also held to support State Islamic University Walisongo Semarang in achieving its vision to be an Islamic world-class university. The conference raises the issue of democracy and social transformation to capture the social and political dynamics. The selection of this topic is based on the idea that technological development is becoming a crucial issue within modern society in which people tend to experience alienation within the rapid social and political transformation. Democracy as a political system that ensures transparency, citizen participation, and human rights protection is now under threat. Having the fact that there is a growing tendency of using transactional politics to win political interests such as the use of money and identity in political processes, therefore, political analysts consider this situation as the regression of democracy. Rapid social and cultural transformation as a consequence of advanced technology creates problems in modern society. On one hand, technology has made the life of people easier. However, on the other hand, the sense of humanity’s values and principles is declining. This situation can be observed in the decrease in social solidarity and the rise of individualism. Modernity that values productivity and economic growth has brought a negative impact on the life of human being and nature. The exploitative character of industrialization has created an ecological crisis. Advanced information technology has loosened social cohesivity and the rise of instrumental rationality has removed local genius or local wisdom from the life of society. Since the ultimate goal of humanity is respecting the dignity of human beings, hence, bringing back humanity to the center of the development program is crucial, especially in the current social and political dynamics. In the political context, humanity means respecting the basic rights of the citizen and putting them as a subject of political development and not perceiving citizens as only an instrument to win political power. Based on the above background, this conference is organized. The overall goal of the conference is to mainstream humanity in the current social and political change. The conference is also expected to be an arena for scholars and experts in social and political science as well as practitioners and policymakers to meet and exchange ideas and perspectives for a better future of our society.

The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.

This is an open access book. The first international Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022) is a biennial conference organized by Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (MS) India, during August 1–2, 2022. ACVAIT 2022, is dedicated towards advances in the theme areas of Computer Vision, Image Processing, Pattern Recognition, Artificial Intelligence, Machine Learning, Human Computer Interactions, Biomedical Image Processing, Geospatial Technology, Hyperspectral image processing and allied technologies but not limited to. ACVAIT 2022, invites young and/or advanced researchers contributing in the theme area of the conference and also provide them platform for discussing their scientific contributions / research findings with the domain experts, exchange ideas with them and foster closer collaboration between members from the top universities / Higher Education Institutes (HEI). ACVAIT 2022, inviting domain specific work from research scholars, academician, machine learning & AI scientist, industry experts to contribute their scientific contribution in the following areas but not limited to. • Shape representation• Biometrics: face matching, iris recognition, footprint verification and many more.• Statistical, Structural and syntactic pattern recognition• Brain Computer Interface and Human Computer Interactions• Feature extraction and reduction• Biomedical Image Processing• Color and texture analysis• Speech analysis and understanding• Image segmentation• Speaker verification & Synthesis• Image compression, coding and encryption• Clustering and classification• Object recognition, scene understanding and video analytics• Machine learning algorithms • Image matching (pattern matching)• Extreme learning machine• Content based image retrieval and indexing• Artificial Intelligence Trends in Deep learning• Optical character recognition• Big data• Image & Video Forensics• Information retrieval• Pattern recognition and machine learning for Internet of Things• Data mining and Data Analytics• Pattern classification through Sensors• Pattern Recognition for Hyper Spectral Imaging• Satellite Image Processing

An interdisciplinary, peer-reviewed publication, Journal of International Students is a professional journal that publishes narrative, theoretical and empirically-based research articles, study abroad reflections, and book reviews relevant to international students, faculty, scholars, and their cross-cultural experiences and understanding in higher education. The Journal audience includes international and domestic students, faculty, administrators, and educators engaged in research and practice in international students in colleges and universities. More information on the web: http: //jistudents.org/

The Journal of International Students (JIS), an academic, interdisciplinary, and peer-reviewed publication (Print ISSN 2162-3104 & Online ISSN 2166-3750), publishes scholarly peer reviewed articles on international students in tertiary education, secondary education, and other educational settings that make significant contributions to research, policy, and practice in the internationalization of higher education. visit: www.ojed.org/jis

Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks. Features: A structured overview of deep learning in object detection A diversified collection of applications of object detection using deep neural networks Emphasize agriculture and remote sensing domains Exclusive discussion on moving object detection

While organisations become more and more global, they also become more and more dispersed and virtual. This challenges the sense of a shared organisational identity and the ability of employees to communicate personally held knowledge. To address these challenges this book offers an innovative multidisciplinary approach to knowledge communication in global organisations. The book develops a multidisciplinary analytical lens through which to understand employee identity formations and knowledge communication practises. Using detailed analyses of interviews from a real organisation, the book builds an understanding of how 21st century employees make sense of a virtual organisational reality characterised by multiple simultaneous projects and virtual, dispersed teams. These analyses are conducted using a new discourse analysis method for analysing research interviews, Discursive Sensemaking Analysis. Using these methods and findings, researchers, project managers and HR professionals will be able to analyse their own organisations to discover how employees make sense of the complexity of 21st century global organisations.

There is a void of research and other academic materials to support stakeholders operating within industry and the service sector with respect to their perceptions and experiences of remote work, particularly in the context of global business, sustainability, and change management. As more businesses consider remaining and maintaining a remote workforce, it is of paramount importance that new research be conducted regarding the multifaceted area of remote work and sustainable change for global business. Remote Work and Sustainable Changes for the Future of Global Business raises awareness of the multifaceted area of remote work in the context of sustainable change. In particular, it explores remote technology in an attempt to cope with the changing landscape of work environments amidst global change from a sociotechnical perspective. This book provides insight into the challenges both national and international businesses face during a world crisis. Covering topics such as crisis management, the human cloud, and virtual collaboration, this book is essential to business managers, project managers, business clusters, entrepreneurs, higher education practitioners, faculty and PhD researchers, educational boards, technology vendors and firms, and academic researchers.