scimago future internet


While researchers have been making advances to the study of IoT and cloud services individually, a very little attention has been given to develop cost-effective and affordable smart healthcare service. Based on the communication and collaboration among embedded devices these IoT networks are able to automatize or improve a lot of tasks and processes. Autonomous Cloud is an exciting area of development and research that utilizes artificial intelligence, machine learning and data analytics to aid in intelligent cloud management and decision making. Read this first: * The Ranking Web is not a ranking of the websites of Universities, it is a Ranking of Universities. Thousands of researchers around the world are currently working in systems based on the Internet of Things. The edge server layer is expected to be a medium that intelligently optimize the use of the computing resources. Immense utilization of natural resources, waste generation and ecological irresponsibility are the reasons for such a dire situation. Protection and Control of Modern Power Systems is an international academic journal co-published by Power System Protection and Control Press and Springer. Building up an intelligent security mechanism in edge/fog computing is an urgent mission in an advanced network setting. Gateways enable not only researchers with a common scientific goal but also students and members of the broader community by providing access to top-tier resources. However, as attackers are taking advantages of social networks to achieve their malicious goals, the security issue is also a critical concern when using Social Networking Big Data in practice. . Therefore, an IoT OS requires to support not only a huge variety of heterogeneous hardware, but also simulators and emulators as well as testbed facilities Further, it should provide the capability to perform small scale to large scale testing with heterogeneous physical devices and communication technologies. The objective of this special issue is to bring together state-of-the-art research contributions that address these key aspects of cognitive-inspired computing and applications. scientific workflows) are routinely used in the majority of data-driven research disciplines today, often exploiting rich and diverse data resources and parallel and distributed computing platforms. Other submissions are also welcome. Cryptocurrencies have become an important research topic recently, thanks partly to the excitement brought by bitcoin. It is a monthly journal. The Far East Journal of Mathematical Sciences (FJMS) is aimed at to provide an outlet to original research papers and survey articles of current interest in all areas of Pure and Applied Mathematics, Statistics, Theoretical Mechanics, Mathematical Physics, Theoretical Computer Science, Mathematical Biology and Financial Mathematics. An emerging but significant field called cybermatics, which aims to build systematic knowledge about new phenomena, behaviors, properties and practices in the cyberspace and cyberization, is developed to model the human individual information processing along with the broad applications across the cyber-enabled systems. At the core of this new advancement is a distributed consensus protocol known as blockchain, a public ledger that acts as the underlying infrastructure to record electronic transactions. Although the capacity and computer power of small and medium devices (as smartphones or tablets) are increasing swiftly, their computing capacities are usually underexploited. A key point in these systems is the control of physical processes from the monitoring of variables and the use of computational intelligence to obtain a deep knowledge of the monitored environment, thus providing timely and more accurate decisions and actions. One of the widely well-known methods of middleware is Group Communication Systems (GCSs). As a very promising solution, Energy Internet recently emerges to be able to tackle these challenges. Big data analytics is a rapidly expanding research area spanning the fields of computer science, information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications. Google-based Journal Impact Factor (2020): 1.81  è  1, Google-based 5-Year CiteScore (Average Citations per Article): 3.43 è  1, Academic Keys (A Higher Education Journals in Sciences), Excellence in Research for Australia (ERA Journal 2018 ID: 519), Far East Journal of Mathematical Sciences (FJMS). The analysis, discrimination, and synthesis of complex networks, therefore, rely on the use of measurements capable of expressing the most relevant topological features. Thus, the Hadoop framework has been slowly replaced by a collection of engines dedicated to specific verticals such as structured data (e.g., Apache Hive, Impala, Presto, Spark SQL), graph data (e.g., Pregel, Giraph, GraphX, GraphLab), streaming data (e.g., Apache Storm, Apache Heron, Apache Flink, Samza) and many others. Since the popularity of OSN Websites such as Facebook, Twitter, Linkedin, etc has grown enormously and playing a significant role among the Internet community. The journal will continue in cooperation with a new publisher. However, recent advances on artificial intelligence (AI), fog computing, big data, and cognitive computational theory show that multidisciplinary cognitive-inspired computing still struggle with fundamental, long-standing problems, such as computational models and decision-making mechanisms based on the neurobiological processes of the brain, cognitive sciences, and psychology. Application oriented work for users of Mathematics is also encouraged. Further, it is importance to make a note that cognitive neural computing and its intelligence techniques has not been adequately investigated from the perspective of OSN user behaviour and its related research issues. This website is best viewed at 1024x768 or higher resolution with Microsoft Internet Explorer 6 or newer. Big Data processing requires a vast amount of storage and computing resources. Smart City is the product of accelerated development of the new generation information technology and knowledge-based economy, based on the network combination of the Internet, telecommunications network, broadcast network, wireless broadband network and other sensors networks where Internet of Things technology (IoT) as its core. Group membership is dynamic, as group membership changes over time, and frequent notification messages are exchanged among group members consistently. Recently, blockchain is perceived as a promising technique to solve the aforementioned problems and to design new decentralization frameworks for IoT. Many of these applications have certainly had an impact in our lifestyle, but they have mostly remained in the realm of the digital world. In this direction, to create an intelligent CH that is attractive and sustainable, it is necessary to design and deploy ubiquitous and pervasive solutions within cultural environments such as museums, archaeological parks, historical centres, art exhibitions and so on. Previous editions were held in: New York City, USA (2015), Xi'an, China (2014), Madrid, Spain (2013); Wu Yi Shan, China (2012); Milan, Italy (2011); Melbourne, Australia; (2010); Gold Coast, Australia (2009); Shanghai, China (2008); and Dalian, China (2007). Aims and Scope : The Far East Journal of Mathematical Sciences (FJMS) is aimed at to provide an outlet to original research papers and survey articles of current interest in all areas of Pure and Applied Mathematics, Statistics, Theoretical Mechanics, Mathematical Physics, Theoretical Computer Science, Mathematical Biology and Financial Mathematics. At present, it is estimated that the transaction volume in cryptocurrencies exceeds 100 million USD per day. Internet of Things (IoT) connects durable goods, cars and trucks, industrial and utility components, and sensors to Internet with data analytics capabilities. Human-centric Computing and Information Sciences will cease to be published by SpringerOpen as of 31-Dec-2020. Smart city’s IoT-based infrastructures envision improvement in quality of life through optimal utilization of resources. On the other hand, certain IoT applications will be tightly linked to sensitive infrastructures and strategic services, like the distribution of water and electricity. In this context, the integration of technological innovations, such as Big Data – Analytics, Cloud Computing, Mobile Connectivity, and Social, the four pillars of digital transformation, in business practice can enable significant competitive advantage. Within the Digital Health domain, several works demonstrated how the real-time monitoring of mood conditions led to an improvement of the overall patients and citizens quality of life. Furthermore the priority of particular performance indicators can vary with changing stakeholder requirements adding more complexity and learning time. Some well-timed such issues are related to the energy consumption that relate to the distributed systems’ operation and their increasingly contributing role to the network neutrality. Cloud computing, which concerns large-scale interconnected systems with the main purpose of aggregation and efficient exploiting the power of widely distributed resources, represent one viable solution. To benefit, however, from numerous promises cloud computing offers, many issues have to be resolved, including architectural solutions, performance optimization, resource virtualization, providing reliability and security, ensuring privacy, etc. The deployment and use of RFID technology is growing rapidly across many different industries. Employing blockchain mechanisms in IoT is still particularly challenging. Original papers describing completed and unpublished work not currently under review by any other journal/magazine/conference are solicited. The threats exist at different layers due to more parties are involved in the service processes. However, the existing techniques based on Map-Reduce paradigm, etc. There is much that is common in gateway development regardless of the domain area. On one hand, Social Networks and Big Data have been an effective platform for the attackers to launch attacks and distribute malicious information. A cyber-physical system (CPS) is a complex blend of physical and computer components in which physical systems are usually monitored or controlled by computer-based algorithms with possibly humans in the loop. The purpose of this Issue is to gather original work and build a strong multidisciplinary community in this increasingly important area of a future information and knowledge economy. This evolution allowed the elimination of silos, the breaking down of hierarchies, the connection of internal and external stakeholders and the empowering of employees. SCImago Journal Rank (SJR): 1.216 ℹ SCImago Journal Rank (SJR): 2019: 1.216 SJR is a prestige metric based on the idea that not all citations are the same. Cyber-Physical Systems (CPS) are increasingly deployed over the cloud in a wide range of applications. to plan a smart city. Cybermatics is a holistic field to systematically study cyber entities in cyberspace, their properties and functions as well as their relations and conjugations with entities in physical, social and mental spaces, which is concerned more with the basic attributes, properties, models, representations, interactions, and evolutions of cyber entities, and all their possible relations conjugated with real things. As we know, the exploration of social media, categorizing the user behaviour and representing logical decisions is contrasting to other quantitative analysis methodologies. At the same time, the Internet of Things (IoT), which will represent the backbone of modern society and the next-generation Internet, have showed a strong potential to meet the information-processing demands of smart environments. Conventional data fusion algorithms such as registration, association, and fusion are not effective for massive datasets. Within the transformations, edge/fog computing is a quick powered component that combines cloud computing with other network-based techniques, such as Internet-of-Things (IoT) and web services. Data-intensive Workflows (a.k.a. It can also support powerful processing and storage facilities of huge IoT data streams (big data) beyond the capability of individual "things," as well as to provide automated decision making in real-time. Large-scale context-awareness combining IoT and Big Data will drive to creation of smarter application ecosystems in diverse vertical domains, including smart health, finance, smart grids and cities, transportation, Industry 4.0, etc. Due to the huge number of heterogeneous network elements interacting and working under IoT based information systems, there is an enormous need of resource management for the smooth running of IoT operations. In light of the rise in interest around FinTech, both the research community and industry must intensify the attention given to overcoming the trust, security and privacy challenges germane to FinTech to unleash its full potential. New research opportunities and challenges for content analysis on CPS networks have arisen. These are some of the questions in the long list of challenges that are needed to be addressed in future CPS. Past, present and future of Industry 4.0- a systematic literature review and research agenda proposal. Lack of related standards and algorithms significantly increase the complexity, inefficiencies, customer frustration and the cost as well. In cyber physical systems, physical and software components are deeply intertwined, each operating on different spatial and temporal scales, exhibiting multiple and distinct behavioral modalities, and interacting with each other in a myriad of ways that change with context. The emerging CPS must be robust and responsive for its implementation in coordinated, distributed, and connected ways. ‘Thing’ refers to a device which is connected to the internet and transfers the device information to other devices. In recent years, security and privacy concerns with online social networks (OSN) have becoming a key research area. Nevertheless, there is no consensus towards any schemes or best practices that specify how blockchain should be used in IoT. By doing so, we can get very light and portable devices that can contain petabytes of data, which need layers of security functions and services to make them protected. The essential components of urban development for a smart city should include smart technology, smart industry, smart services, smart management and smart life. There is a crucial need to conduct fundamental research with a more comprehensive performance evaluation for the various Big Data processing systems and architectures. In the last decades, the complexity of scientific and engineering problems has largely increased. In the IoT, cloud computing environment has made the task of handling the large volume of data generated by connecting devices easy and provides the IoT devices with resources on-demand. We welcome papers that combine micro- and macro-economic principles with resource management strategies in computer science and engineering. Each complex network (or class of networks) presents specific topological features which characterize its connectivity and highly influence the dynamics of processes executed on the network. six volumes annually and each volume comprises of two issues. The said IoT-cloud convergence can play a significant role in the smart healthcare by offering better insight of heterogeneous healthcare content (e.g., X-ray, ECG, MRI, ultrasound image, clinical notes, claims, and so on) to support affordable and quality patient care. There is currently no consensus on best practices regarding how FinTech can be applied with robust security and privacy preservation. How to integrate and analyze the data? Among other extensions of IoT, SIoT is the most recent one. The IoT-Cloud convergence for smart healthcare has the potential to revolutionize many aspects of our society; however, many technical challenges need to be addressed before this potential can be realized. With the development of smart sensorial media, things, and cloud technologies, “Smart healthcare” is getting remarkable consideration from the academia, the governments, the industry, and from the healthcare community. The aim of NSS is to provide a leading edge forum to foster interaction between researchers and developers with the network and system security communities, and to give attendees an opportunity to interact with experts in academia, industry, and governments. How to find a unified way to study and represent the diversified cyber entities along with their tremendous associations and interconnections? The IoT is progressively using by various firms and industries for the planning and development of future Smart City. The spread of the use of artificial intelligence techniques is now pervasive and unstoppable. The availability of highly-volatile heterogeneous computer resources capable of running software agents requires an appropriate design and implementation of algorithms. On the other hand, privacy leakage through Social Networks and Big Data has become common exercise. In these systems, embedded computers and networks monitor (through sensors) and control (through actuators) the physical processes, usually with feedback loops where physical processes and computations affect each other. Important info. International Journal of Production Research. Recent 3 years Impact factor H index is 21 score by the SCImago Lab, using SCOPUS Data Source, which means the rank of this ICACT is the 63rd among 754 international … It cannot only be used in traditional applications (e.g., asset or inventory tracking), but also in security services such as electronic passports and RFID-embedded credit cards. IoT system could leverage wireless sensor network to collect and process data, and could employ cloud technologies, peer to peer systems to provide computation capability. From the industry perspective, the synergy between mobile and cloud technologies has resulted in new cloud provisioning models for supporting mobile application development and deployment, such as Mobile Backend as a Service (MBaaS). In information system the embedded devices and objects working under IoT implementation are resource constrained. The term Fog Computing has been introduced to identify a paradigm for designing applications able to exploit both the (virtually) infinite resources on the cloud and the limited edge computation power by operating also on the devices living in between these two sides.

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