More specifically, it looks for the contributions into the state-of-the-art and approaches, methodologies, systems and innovative use of multimedia-based emerging technology services in different application areas. The goal of this special issue is to bring forward the recent advancements in multimedia systems in context to health care services, smart world applications and precision agriculture related fields. Unhindered access to medical media content by heterogeneous devices (such as a mobile phone, laptop, and IPTV), resource capacity demands (such as bandwidth, memory, storage, and processors), the needs for medical multimedia’s quality of service/Experience/Context (m-QoS/m-QoE/m-QoC), and dynamic resource allocation for processing of media content are a few of the challenging open research problems. In addition to improving many technical challenges for many media-rich applications such as video streaming, serious games, rehabilitative exercise, health sports, e-healthcare, and so forth, the integration of multimedia and cloud for healthcare, smart cities, and surveillance is applied in many of the applications. In terms of data capture, data storage, data management, and communications, emerging technology computing (Cloud, Fog, Edge, SDN, Big Data, IoT, Deep Learning) offers scalability, flexibility, agility, and ubiquity. In addition to these systems, the Internet of Things (IoT) is used in a variety of healthcare applications, including tele-healthcare systems for chronic diseases, support for medication intake management, homecare, etc. These ideas can be used to design and develop intelligent systems across a variety of industries, including transportation, education, business, and industry. There is a growing demand of an infrastructure to have on-demand access to a shared pool of configurable computing resources (e.g., networks, storages, servers, applications, and services) for efficient decision as well as quality care.Ī number of new ideas, including Wireless Sensor Networks (WSN), Body Wireless Sensor Networks (BWSN), IoT, Cloud, Fog, Edge, SDN, and Big Data Analytics are emerged in past one decade and contributing in various dimensions. Due to the huge growth in the use of fourth generation (4G) networks and with the possibilities of 5G networks in coming time, there are a lot of possibilities of future research to meet the 5G based demands for development of better multimedia systems. Multimedia based networking applications have been grown significantly in past few years and a lot of research is going on due to advancements in communication technologies. You can discuss simulation with your peers, find the latest resources on SIMULIA simulation technology, get insights from experts and select from a large range of e-seminars to deepen your knowledge.In the present era of research and technology, multimedia systems have seen tremendous growth due to the integration of several technologies which includes Big Data, IoT and Networking Technologies. The SIMULIA Community is our user forum for all those interested in simulation of structures, fluids or electromagnetic fields.
#Cst studio suite purdue download#
You can download the CST Studio Suite Learning Edition free of charge from the SIMULIA Community. These examples are available in the SIMULIA Community.
#Cst studio suite purdue how to#
Each tutorial includes a descriptive text, a CST Studio Suite file and also a short video showing how to construct each of the models. To accompany the CST Studio Suite Learning Edition, we have prepared some examples, which are typical of the type of textbook problems you may encounter during your studies of electromagnetic theory or other related courses. With this free edition you have - bar some restrictions - access to our powerful visualization engine and some of the most advanced solvers of CST Studio Suite, making it ideal for use as part of coursework as well as for anyone wishing to become more proficient with CST Studio Suite. The CST Studio Suite Learning Edition introduces you to the world of electromagnetic simulation, making Maxwell’s equations easier to understand than ever.