IoT-Enabled Big Data Analytics Architecture for Multimedia Data Communications

The present spreading out of the Internet of Things (IoT) originated the realization of millions of IoT devices connected to the Internet. With the increase of allied devices, the gigantic multimedia big data (MMBD) vision is also gaining eminence and has been broadly acknowledged. MMBD management offers computation, exploration, storage, and control to resolve the QoS issues for multimedia data communications. However, it becomes challenging for multimedia systems to tackle the diverse multimedia-enabled IoT settings including healthcare, traffic videos, automation, society parking images, and surveillance that produce a massive amount of big multimedia data to be processed and analyzed efficiently. There are several challenges in the existing structural design of the IoT-enabled data management systems to handle MMBD including high-volume storage and processing of data, data heterogeneity due to various multimedia sources, and intelligent decision-making. In this article, an architecture is proposed to process and store MMBD efficiently in an IoT-enabled environment. The proposed architecture is a layered architecture integrated with a parallel and distributed module to accomplish big data analytics for multimedia data. A preprocessing module is also integrated with the proposed architecture to prepare the MMBD and speed up the processing mechanism. The proposed system is realized and experimentally tested using real-time multimedia big data sets from athentic sources that discloses the effectiveness of the proposed architecture.

Digital Archaeology: From Interdisciplinarity to the ‘Fusion’ of Core Competences Towards the Consolidation of New Research Areas

The aim of this article is to explore the interdisciplinary turn observed in the development of humanities computing, in terms of integration and fusion of expertise. The debate started with the Seminar on Discipline umanistiche e informatica. Il problema dell’integrazione, held in 1991 at the Accademia Nazionale dei Lincei. Moving backwards in time, already from the 1960s the role of ‘integration’ was at the heart of many interdisciplinary initiatives supported by the National Research Council of Italy and the Accademia Nazionale dei Lincei as part of their coordinated efforts to promote scientific progress. Through a number of archaeological case studies pivoting around the Etruscan civilisation, it will be shown how over time archaeological computing, and its evolution towards digital archaeology, has found in GIS and multimedia systems a unitary platform on which methods and practice of data acquisition, analysis, interpretation, and communication can converge. The concept of ‘fusion’, however, is much more recent and responds to a global resource management model, which combines the methods of archaeology with the objectives of Heritage Science, along the research path that goes from field and laboratory investigation to the protection, enhancement and communication of cultural heritage.

Comparative Study of Hybrid Optimizations Technique for On-Chip Interconnect in Multimedia SoCs

This paper presents the design and analysis of on-chip interconnect architectures for real time Multimedia Systems-on-Chip (MSoC) targeting Internet of Things (IoT) applications. The interconnect architecture provides high flexibility in connection for hardware implementation of reconfigurable neural network. Due to technology’s miniaturization in ultra-deep submicron technology, the on-chip interconnect performance and power consumption become a bottle-neck. In this paper, the hybrid optimization technique is proposed to address these challenges using schmitt trigger as a repeater and tapering. Here, the proposed optimization technique is incorporated with a dedicated point to point based interconnection (PTP-BI) configuration. A comparative study with others without optimization technique (Model–I) shows the effectiveness of the proposed optimization technique (Model–II). The technology node scaling impacts are also analyzed for both techniques. Finally, the percentage reduction of latency and power consumption are evaluated in two different cases to observe the impacts of varying the interconnect length.

Distance education: the introduction of new computer technologies in the learning process

The article defines the concept of distance multimedia training system and consider the use of distance multimedia training systems in higher education in the field of design; investigated the structure and composition of distance learning multimedia systems; identify the specific features of learning using distance multimedia learning systems; the specifics of user personalization in the multimedia space are considered; a format for describing data in distance multimedia learning systems has been developed. The results show that the automatic evaluation system for graphic images is an important step towards the creation of distance learning systems in the field of graphic design.

Architecture of the discrete sosine transformation processor for image compression systems on the losless-to-lossy circuit

The hardware implementations of fixed-point DCT blocks, known as IntDCT [1] and BinDCT [2], require some solutions. One of the main issues is the choice between the implementation of the conversion on FPGA, or the implementation on a digital signal processor (Digital Signal Processor, DSP). Each of the implementations has its own pros and cons. One of the most important advantages of the DSP implementation is the presence of special instructions used in DSP, in particular, the ability to multiply two numbers in one clock cycle. Therefore, with the advent of DSP, the limitation on the number of multiplications in algorithms was removed. On the other hand, when implementing a block on an FPGA, we can limit not ourselves to the bitness of the data (within reasonable limits), we have the ability to parallelize all incoming data and implement specialized computing cores for various tasks. In fact, designing multimedia systems on FPGAs reminds the design of similar systems based on the logic of a small and medium degree of integration. Such an implementation has the same limitations: a relatively small amount of available memory, the need to design basic structural elements (multipliers, divisors), etc. It is the inequality of the addition and multiplication operations when they are implemented on FPGAs that caused the search for DCT algorithms with the smallest number of factors. However, even this is not enough, since the structure of the multiplier is many times more complex than the structure of the adder, which made it necessary to look for ways to transform without using multiplications at all. This article shows how, on the basis of integer direct and inverse DCT and distributed arithmetic, to create a new universal architecture of decorrelated transform on FPGAs without multiplication operations for image transformation coding systems that operate on the principle of lossless-to-lossy (L2L), and to obtain the best experimental results in terms of hardware resources compared to comparable compression systems.