Overview Globally, governments are paying high attention to the development of the military and defense sector. They are pouring sizeable funds into military modernization programs, which is translating into a driving factor for the global military embedded systems market.
Advancements in Knowledge Elicitation for Computer-based Critical Systems This special issue focuses on novel approaches, solutions and techniques able to combine the power of both model manipulation and data analysis.
We are particularly interested in contributions that focus on model-driven approaches able to combine models and data according to different paradigms and techniques e.
Special Issue on Advancements in 5G Networks Security With the great success and development of 4G mobile networks it is expected that the 5th generation wireless systems in short 5G will be a continued effort toward rich ubiquitous communication infrastructure, promising wide range of high-quality services.
It is envisioned that 5G communication will offer significantly greater data bandwidth and almost infinite capability of networking resulting in unfaltering user experiences for among others: Special Issue on "Data Exploration in the Web 3.
In such a pervasive and highly dynamic scenario, existing Latest research papers embedded systems for accessing and managing web content seem to be actually inadequate to satisfy the user needs and more automatic ways of exploring, joining and sharing information are needed to improve the usability of web resources.
This raises several important challenges for future data and web mining methods. Such challenges range from the analysis of poorly structured information, such as annotations and tags, to the provision of intelligent methods that support users in searching and integrating information offered by web resources.
The overall goal of these challenges is not limited to enhance information retrieval but also includes exploiting the enriched semantics a dataset acquires when used in conjunction with other sources of information.
The synergy of different technologies, including semantic web, natural language search, machine learning, recommendation agents and artificial intelligence, can be especially fruitful in this perspective. Special Issue on New, Modern and Advanced Digital Forensic Techniques A digital forensic operation is a technological inspection, acquisition, and examination of digital media and their contents using forensic equipment and special software tools.
The objective is to locate, identify, collect and acquire data which may be relevant to an investigation, and may be used as evidence in administrative, disciplinary and judicial procedures. The stages of the digital forensics process require differing specialist training and knowledge.
Nowadays there is not a universally accepted process model for digital forensics.
New Computing Paradigms of Stream Data Mining and Optimization in Non-Stationary Environments Lately the number of application scenarios where fast data streams are produced with varying characteristics along time is growing at a fast pace over very diverse sectors, particularly in industrial systems prognosishealth condition monitoring, anomaly detectiontelecommunications ultra-fast resource allocation, fraud detection and security intrusion detection over high-speed communication networks among many others.
In these scenarios, data may come from devices, sensors, web sites, social media feeds, applications, and other data-intensive infrastructures and processes alike, hence they are often noisy, heterogeneous in nature and evolve over time.
In this context, real-world applications require to deal with changing environments, e. Graph models and algorithms are ubiquitous of a large number of application domains, ranging from transportation to social networks, semantic web, or data mining.
However, many applications require graph models that are time dependent. For example, applications related to urban mobility analysis employ a graph structure of the underlying road network. Indeed, the nature of such networks are spatiotemporal. Therefore, the time a moving object takes to cross a path segment typically depends on the starting instant of time.
So, we call time-dependent graphs, the graphs that have this spatio-temporal feature. Special Issue on Cognitive-inspired Computing and Applications Cognition is emerging as a new and promising methodology with the development of cognitive-inspired computing, cognitive-inspired interaction and systems, which has the potential to enable a large class of applications and has emerged with a great potential to change our life.
However, recent advances on artificial intelligence AIfog 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.
How to enhance human cognitive performance with machine learning, common sense, natural language processing etc. 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.
Special Issue on Social and Intelligent Applications for Future Cities In the last few years we have observed an increasing presence of intelligent applications in our daily lives: Many of these applications have certainly had an impact in our lifestyle, but they have mostly remained in the realm of the digital world.
Despite the fact that we are increasingly digital citizens, cities and urban areas will always be our main ecosystem and, therefore, the main aspect affecting our daily lives. The next barrier for intelligent applications is pervading urban areas to optimize resources, foster sustainable practices, fighting inequalities, creating new opportunities, and, generally, improving the welfare of their inhabitants.
While the goals seem attractive, they do not come without their challenges: Special Issue on FinTech Security and Privacy Advances in the capability of data computing and processing have ignited an explosion in paradigm, driving Financial Technology FinTech forward at an ever-accelerating rate with unprecedented new financial services.
The result is that FinTech is now widely perceived as the next phase in the evolution of financial services, in which financial affairs and technology are seamlessly integrated. It has become clear that established financial institutions will need to continue driving innovation and meeting consumer needs while simultaneously satisfying new regulatory requirements.
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.
There is currently no consensus on best practices regarding how FinTech can be applied with robust security and privacy preservation. Special issue on cognitive computing for Internet of Medical Things The cognitive computing is computational technology that provides an artificial physical response, permitting a subject to test events and various activities comparable to those that can be established in reality.
By employing sensors and intelligent algorithms, the machines or computers can sense similar to human behaviour seeing, hearing and even feeling. In recent years, the Internet of Medical Things IoMT support the out-of-hospital concept that modify and provide higher care standards.
This is executed with individual data-driven treatment schemes and high performance optimised devices customised to act as individual requirements. The IoMT are designed mainly to sense the individual health status data where it can be sent to the clinical for interpretation issue.
With the aid of cognitive algorithms, a pre-learned intelligent system can be developed for improving the diagnosis process and automate it. Moreover, the valuable information from the clinical database is used for individual health prevention and protection through emergency situations.The PC/ Consortium, the organization that maintains standards and provides information about PC/ and related small form factors, has today announced the latest revision of the PCIe/ExpressTM specification, rev , that sports a new variations that is called OneBankTM.
EMBEDDED SYSTEMS WEEK Call for Papers and Tutorials exchange information on the latest advances in compilers and architectures for high-performance, low-power embedded systems.
The IoT special day is devoted to research on advanced IoT systems. It will provide a . Initially, Embedded Systems were used for large, safety-critical and business-critical applications that included Rocket & satellite control Energy production control Telephone switches Air Traffic Control Embedded Systems research and development is now concerned with a very large proportion of the advanced products designed in the world.
The research report provides a degree view of the global military embedded systems market. Primary and secondary research have come into play while compiling this report.
Various paid and unpaid sources such as white papers, press releases, presentations, and journals were referred to collate this study on the military embedded systems. Top Embedded Systems Projects for Engineering Students 1. Embedded Web Tech in Traffic Monitoring System.
The principal objective of this project is to create software & hardware that can streamline audio data with the aid of USB Embedded systems are self-contained programs that are embedded within a piece of hardware. Usually embedded systems are set to a specific task that cannot be altered without physically manipulating the circuitry.
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