Perpustakaan Digital

The fast development of the industrial internet is boosting the evolution of the manufacturing industry to a new stage of socialization, servitization, universal interaction and connection, and platformization. Under this background, social manufacturing emerged as a new kind of manufacturing paradigm, established based on the self-driven, self-organizing and self-adaptive cyber-physical–social interaction among extensive numbers of socialized manufacturing resource providers. Up until now, social manufacturing has drawn attention from both academic and industrial fields due to its promising research and application values. However, social manufacturing is still at its infant stage as the fast development of the industrial internet, artificial intelligence, collective intelligence, cloud/edge/fog computing, and a new generation of information and communication technologies, etc., are changing the interaction, configuration and operation mechanisms of social manufacturing every day. I

This Special Issue highlights the valuable contributions to wireless and mobile communication technologies, mobile edge computing, and blockchain using modern artificial intelligence and machine learning techniques. The applications of machine learning in wireless and mobile communication networks have been receiving increasing attention, especially in the new era of big data and the Internet of Things (IoT), where data mining and data analysis technologies are effective approaches to solving wireless system issues. Artificial intelligence is one of the leading technologies in 5G, beyond 5G, and future 6G networks. Intelligence is playing a crucial role in unlocking the full potential of the 5G networks and the future 6G mobile wireless networks by leveraging universal infrastructure, open network architectures, software-defined networking, network function virtualization, multi-access edge compu-ting, vehicular networks, etc. The implementation of blockchain and mobile edge computing has become a significant part of new wireless and mobile communication networks, helping to perform computations as close to IoT devices as possible.

Plant reactions to abiotic stresses are extraordinarily complex. They take place at various levels of plant organization, starting from changes in biochemical processes, such as respiration, photosynthesis, and transpiration, and ending during morphological and anatomical changes in plant organs. However, these above-mentioned changes are preceded by the activation of efficient molecular signaling machinery, which ensures that plants tune in to external abiotic stimuli.

This reprint focuses on various types of surface topography descriptions. Since the detailed analysis of surface topography influences many material layer property evaluations, its proper study rely on both data collection and processing. Many errors occur not only when the measuring instrument is forwarding but also when the received data are processed. Therefore, the whole surface topography evaluation process depends on each of the actions provided. This reprint provides an insight on how to determine a proper description of a surface by examining its topography. The variety of studies regarding surface topography in each of the chapters included can provide advantages for resolving different problems of surface metrology.

Navigation is one of the main challenges in robotics. Different technologies and strategies are involved, such as sensing, positioning, mapping, approaching, tracking, formation, control, communication, human interfaces, and learning. The aim of this Special Issue is to contribute to the state-of-the-art and current applications of robot navigation. Typical areas of interest include the following: development of robotics and sensors designed to be utilized within any radiological environment; perception, stand-alone, and cooperative approaches; SLAM; map-based, landmark-based, and beacon-based navigations (2D and 3D); data fusion for mobile robot navigation; wireless sensor networks for mobile robot navigation; network control systems; robot formation and tracking; adaptive robot navigation and control; biologically inspired robot navigation; path planning; applications of mobile robot navigation; genetic algorithms for mobile robot navigation; and tracking algorithms.

This Special Issue focuses on the modeling and analysis of network science, including that of key node identification, community detection, personalized recommendation systems, image processing, object detection, and the optimization method of artificial intelligence technology. Related Books Computation in Complex Networks Computer Science & Mathematics ... Artificial Intelligence in Modeling and Simulation Public Health & Healthcare ... Advanced Artificial Intelligence Models and Its Applications Computer Science & Mathematics Artificial Intelligence and Big Data Applications Biology & Life Sciences ... Future Intelligent Systems and Networks 2019 Business & Economics The recommendations have been generated using an AI system. About: About MDPI Books Advisory Board Legal Information: MDPI Privacy Policy Terms and Conditions Terms of Use Accessibility Sales: Order and Delivery Indexing and Distribution Further Information: Book Series Reprints Book/Chapter Processing Charg

The Special Issue reprint presents the latest developments in the food industry field, with a specific focus on the biotechnological processes that take place in various branches of the food industry, which have major implications in determining the overall quality of food products. This Special Issue capitalizes the experience of the authors in the latest advancements and future trends in biotechnologies from the food industry, applied engineering sciences, food product quality, food safety, environment protection, and equipment for the food industry. Related Books Innovative Technologies for Food Preservation and Processing Biology & Life Sciences Advances in Food Processing (Food Preservation, Food Safety, Quality and Manufacturing Processes) Engineering Fermentation and Bioprocess Engineering Processes Biology & Life Sciences ... Advances in Food, Bioproducts and Natural Byproducts for a Sustainable Future: From Conventional to Innovative Processes Biology & Life Sciences ... Fu

Modern computer technology has opened up new opportunities for the development of digital signal processing methods. The applications of digital signal processing have expanded significantly and today include audio and speech processing, sonar, radar, and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, signal processing for telecommunications, control systems, biomedical engineering, and seismology, among others. This Special Issue is aimed at wide coverage of the problems of digital signal processing, from mathematical modeling to the implementation of problem-oriented systems. The basis of digital signal processing is digital filtering. Wavelet analysis implements multiscale signal processing and is used to solve applied problems of de-noising and compression. Processing of visual information, including image and video processing and pattern recognition, is actively used in robotic systems and industrial processes