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Having broken away from Luwu District in 2001, the Luwu Utara District Government has faced many problems in its three years of implementing decentralization. The obstacles to implementing decentralization were due mainly to the inconsistency of national laws and regulations, unclear division of responsibility and authority between district, provincial and central governments, an unfair balancing mechanism for reforestation funds between producing and non-producing districts, increased claims of tenure by local communities, low levels of public participation in decision-making processes and a lack of spatial planning at the district level. This study found that at the beginning of decentrali...
The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2023), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during June 27–28, 2023. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.
While much scholarship has been devoted to the interplay between language, identity and social relationships, we know less about how this plays out interactionally in diverse transient settings. Based on research in Indonesia, this book examines how talk plays an important role in mediating social relations in two urban spaces where linguistic and cultural diversity is the norm and where distinctions between newcomers and old timers changes regularly. How do people who do not share expectations about how they should behave build new expectations through participating in conversation? Starting from a view of language-society dynamics as enregisterment, Zane Goebel uses interactional sociolinguistics and the ethnography of communication to explore how language is used in this contact setting to build and present identities, expectations and social relations. It will be welcomed by researchers and students working in the fields of linguistic anthropology, sociolinguistics, the anthropology of migration and Asian studies.
This book explores the causes of the current economic crisis, evaluates the foundational principles of capitalism that contribute to crises, and investigates how an Islamic economic and banking system could play a role in fostering global stability. It includes theoretical and empirical analysis and assesses the resilience of the Islamic economic system and Islamic financial institutions in the face of economic and financial crises, with a particular focus on Organisation of Islamic Cooperation (OIC) member countries. Furthermore, the effects of these crises on income and wealth distribution are discussed. The book compares Islamic and conventional economics in response to economic crises, b...
This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.
The book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications.
The text comprehensively discusses the latest Opto-VLSI devices and circuits useful for healthcare and biomedical applications. It further emphasizes the importance of smart technologies such as artificial intelligence, machine learning, and the internet of things for the biomedical and healthcare industries. Discusses advanced concepts in the field of electro-optics devices for medical applications. Presents optimization techniques including logical effort, particle swarm optimization and genetic algorithm to design Opto-VLSI devices and circuits. Showcases the concepts of artificial intelligence and machine learning for smart medical devices and data auto-collection for distance treatment....
In today’s world, it has become necessary to shift towards a more eco-friendly and sustainable approach in the industrial field to reduce pollution and stop toxic chemicals from entering the environment. Green chemistry is an emerging concept that can be utilized to assist with these environmental issues. To ensure this concept is employed to its full potential, further study on the best practices and challenges of implementation are required. Green Chemistry for the Development of Eco-Friendly Products discusses the main objective of green chemistry and how it can redefine and modify manufacturing processes and products in order to decrease hazards to human health. The book also considers key concepts of green chemistry, such as the need to make better use of available resources for the development of a chemical process. Covering critical topics such as bioplastics, waste, and hydrogen law, this reference work is ideal for chemists, business owners, environmentalists, policymakers, academicians, scholars, researchers, practitioners, instructors, and students.
In the past decade, feature-based design and manufacturing has gained some momentum in various engineering domains to represent and reuse semantic patterns with effective applicability. However, the actual scope of feature application is still very limited. Semantic Modeling and Interoperability in Product and Process Engineering provides a systematic solution for the challenging engineering informatics field aiming at the enhancement of sustainable knowledge representation, implementation and reuse in an open and yet practically manageable scale. This semantic modeling technology supports uniform, multi-facet and multi-level collaborative system engineering with heterogeneous computer-aided...