This book is a compilation of selected papers from the 5th International Conference on Building Energy and Environment (COBEE2022), held in Montreal, Canada, in July 2022. The work focuses on the most recent technologies and knowledge of building energy and the environment, including health, energy, urban microclimate, smart cities, safety, etc. The contents make valuable contributions to academic researchers, engineers in the industry, and regulators of buildings. As well, readers encounter new ideas for achieving healthy, comfortable, energy-efficient, resilient, and safe buildings.
2022 published articles from ITJEMAST (https://tuengr.com/Vol13-1.html) Organizational Backstabbing Techniques Roles of Self-Efficacy in Using Social Networking to Improve Productivity Influences of Intangible Needs on the Architectural Expression of Tangible Culture Heritage: Comparative Study between Mosque and Church Evolution of Corporate Governance in Russian Transparent Market Environment Internet of Things Application in Controlling the Coronavirus Disease Spread in Hajj Season Impacts of Perceived Care Quality on Psychological Wellbeing of Cancer Patients Recycling of Animal and Bird Waste Helped by Black Lion Fly Larvae Investigating Criminal Thinking Behavior and Interpersonal Reactivity among Adolescents: A View of Dark Personality Triad Analysis of the Activities of Religious Youth Organizations: the Civil-Patriotic Direction of Education A Hybrid New Gravitational Coefficient Function of Gravitational Search Algorithm with Mutation for Search Performance. Development Phases of the Larva of the Black Soldier Fly Hermetia Illucens on the Metabolic Byproducts of Monogastric Animals and Birds The Distribution Service Pricing for Third-Party Access to Preserve the Responsibility of National Distribution Service Operator in Thailand: The Case of Industrial Estates Composition Optimal Marketing Strategy Using a Combination of Fuzzy Hierarchical Analysis Technique and SWOT Analysis for a Case of the Insurance Industry Anatomical and Topographic Features of the Major Masticatory Muscle in Sheep Redesigning the Base Eye of a Telescopic Hydraulic Cylinder with Topology Optimization Method Conceptual Approaches to the Development of the Mechanism of Effective Interaction Between Business and Government in Russia Dialectical Analysis of Sustainability Assessment Framework in India for Agenda 2030 Location Selection Model for a Dental Clinic in a Low to Medium Rent Commercial Building A Qualitative Study of Women Entrepreneurs in Education Sector in Punjab Petroleum & Mineral Geochemistry of Pyroxene & Plagioclase in Eocene Basin Volcanic Rocks of Baladeh Region of Central Alborz of Iran Hemostatic Profile of Holstein Heifers Depending on Age
Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science mainly focuses on the techniques of artificial intelligence (AI), Internet of Things (IoT) and data science for future communications systems. The goal of AI, IoT and data science for future communications systems is to create a venue for industry and academics to collaborate on the development of network and system solutions based on data science, AI and IoT. Recent breakthroughs in IoT, mobile and fixed communications and computation have paved the way for a data‐centric society of the future. New applications are increasingly reliant on machine‐to‐machine connections, resulting in unusual workloads and the need for more efficient and dependable infrastructures. Such a wide range of traffic workloads and applications will necessitate dynamic and highly adaptive network environments capable of self‐optimization for the task at hand while ensuring high dependability and ultra‐low latency. Networking devices, sensors, agents, meters and smart vehicles/systems generate massive amounts of data, necessitating new levels of security, performance and dependability. Such complications necessitate the development of new tools and approaches for providing successful services, management and operation. Predictive network analytics will play a critical role in insight generation, process automation required for adapting and scaling to new demands, resolving issues before they impact operational performance (e.g., preventing network failures and anticipating capacity requirements) and overall network decision‐making. To increase user experience and service quality, data mining and analytic techniques for inferring quality of experience (QoE) signals are required. AI, IoT, machine learning, reinforcement learning and network data analytics innovations open new possibilities in areas such as channel modeling and estimation, cognitive communications, interference alignment, mobility management, resource allocation, network control and management, network tomography, multi‐agent systems and network ultra‐broadband deployment prioritization. These new analytic platforms will aid in the transformation of our networks and user experience. Future networks will enable unparalleled automation and optimization by intelligently gathering, analyzing, learning and controlling huge volumes of information.
This book is to provide readers with up-to-date advances in applied and interdisciplinary engineering science and technologies related to nonlinear dynamics, vibration, control, robotics, and their engineering applications, developed in the most recent years. All the contributed chapters come from active scholars in the area, which cover advanced theory & methods, innovative technologies, benchmark experimental validations and engineering practices. Readers would benefit from this state-of-the-art collection of applied nonlinear dynamics, in-depth vibration engineering theory, cutting-edge control methods and technologies, and definitely find stimulating ideas for their on-going R&D work. This book is intended for graduate students, research staff and scholars in academics, and also provides useful hand-up guidance for professional and engineers in practical engineering missions.
This book gathers selected original papers presented at the Sixth Beijing Normal University - University College London, Institute of Education International Conference in Education, a biennial event organised in partnership between this two universities. Readers will find a wealth of papers and reports on research involving schools and the initial and professional development of teachers, revealing links between research, policy and practice, while also analyzing key themes in education, including public goals and policies, pedagogy, curricula, organisation, resources and technologies, and institutional effectiveness. An essential guide for anyone who wishes to understand the main issues involved in mobilities of ideas, people and technology in the field of education, the book offers an extensive introduction, and can also be used as a resource for empirical and conceptual research into related issues.
This book draws on the responses to learning and teaching and applied education futures thinking, that provide insights into the future of learning. It brings together more than 30 novel and important applied research and scholarly contributions from around the world, including Australia, Canada, Finland, Germany, Hong Kong, Japan, Macau, Mainland China, Malaysia, Morocco, Pakistan, and the UK. The chapters, including reflective essays and practice-based case examples, are divided into five major themes: • Future ready values and competencies for the future of work • Innovative pedagogies in applied degree learning and training • Driving student access, engagement, and success through digital technologies • Intelligent technologies: Embedding the new world of work into applied degrees • Lifelong learning, partnering, and the future of work This book is important for readers interested in international perspectives on the future of work and professional education.
Despite the relatively recent popularity of culminating experiences, a multidisciplinary and practical resource that provides information for all types of culminating student experiences is not yet available. The idea for this volume arose because of the recognition that a holistic and applied resource for those looking to have general knowledge of different ways to assess student learning, especially at the undergraduate level was lacking. This text seeks to fill a gap and provide a historical context for culminating experiences, suggestions for assessment, foundational knowledge for different types of projects, and finally approaches to using these experiences in various disciplines. Because of the information desired, experts in their field from a wide variety of disciplines were approached to be chapter contributors. This resource focuses predominantly on undergraduate students but many of the chapters can either be applied to both undergraduate and graduate students (e.g., thesis) or specifically focus on the graduate student population (e.g., dissertation).
What if we recognized that the human sciences collectively investigate a few dozen key phenomena that interact with each other? Can we imagine a human science that would seek to stitch its understandings of this system of phenomena into a coherent whole? If so, what would that look like? This book argues that we are unlikely to develop one unified "theory of everything." Our collective understanding must then be a "map" of the myriad relationships within this large – but finite and manageable – system, coupled with detailed understandings of each causal link and of important subsystems. The book outlines such a map and shows that the pursuit of coherence – and a more successful human science enterprise – requires integration, recognizing the strengths and weaknesses of different methods and theory types, and the pursuit of terminological and presentational clarity. It explores how these inter-connected goals can be achieved in research, teaching, library classification, public policy, and university administration. These suggestions are congruent with, and yet enhance, other projects for reform of the human sciences. This volume is aimed at any scholar or student who seeks to comprehend how what they study fits within a broader understanding.
This edited book seeks to evolve a global community of practice to share case studies, engage in critical discussion and spearhead thought leadership, to address the paradigm shift in next generation educational practice. This book showcases novel research studies in various forms and engenders interdisciplinary conversation and exchange concerning innovation, technology, and the role of applied education in workforce futures. It also equips readers with global perspectives on the latest developments in applied degree education and thinking on new education futures.
