Machine Learning Techniques and Analytics for Cloud Security. Группа авторов

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      1 *Corresponding author: [email protected]

Part II CLOUD SECURITY SYSTEMS USING MACHINE LEARNING TECHNIQUES

      4

      Cost-Effective Voice-Controlled Real-Time Smart Informative Interface Design With Google Assistance Technology

       Soumen Santra1, Partha Mukherjee2 and Arpan Deyasi3*

       1 Department of Computer Application, Techno International Newtown, Kolkata, India

       2 Infiflex Technologies Pvt Ltd, Kolkata, India

       3 Department of Electronics and Communication Engineering, RCC Institute of Information

       Abstract

      In 21st century, passive intelligence makes a new surrounding around humans through various natural and intelligent interfaces which are interconnected with different computing devices. It creates a user-authenticated and also authorized smart milieu for endowing efficient support to individual communications and convenience. This technology integrates reasoning, processing, sensing, and capabilities of network formation along with other diverse relevance and applications, supports, and services, providing easy access to web contents (audio, video, text, and other file formats). The present work as proposed here is directed and sharply focused toward architectural design and improvement of a mirror boundary with smart informative system embedded within it for the smart terrain environment of home.

      Here, we propose a smart real-time interface in such a way that even though it provides us with the mirror like effect, it also smart enough to view us multiple information like news, clock, calendar events, and fitness tracking on the background. The information is relayed with the help of a LCD screen behind the glass. The proposed automation system is associated where voice instructions (Google Assistance) in alliance with sensors are utilized for controlled authoritarian measures.

      The proposed system/architecture has high reliability for the senior citizen and also for handicapped or especially able people moving with wheelchair and is dependent on others. It is also applicable on the areas where you need your appliance to work without reaching the switch board and for saving energy. By virtue of its real-time nature due to application of machine intelligence, it may be the system can be implemented in households with very less cost.

Keywords: Informative interface, passive intelligence, real-time smart system, voice-controlled mechanism, Google Assistant technology, cloud console

      4.1 Introduction

      The rapid evolution of smart industry [1] in the first part of 21st century is in synchronous with growth of semiconductor industry, and as per the latest available data, it is close to a 50 billion industry. This exponential advancement becomes realizable due to the growth of information and communication technology which ensures the transform of computer-aided industry to embedded system-based industry [2, 3], where decision-making becomes totally data-driven, augmented with emotional intelligence, and sentiment analysis. The role of Internet of Things (IoT) here is to make sustainable connection between corporeal industrial environments [4, 5] with cyberspace of calculating systems. The proper augmentation generates a new system, termed as Cyber-Physical System (CPS), which makes a large paradigm shift in the industrial progress. The rapid multidisciplinary industrial wings as obtained after inclusion of IoT, in terms of living, manufacturing, food industry, travel, and utilities, improve the efficacy of production by enhancing work flow [6, 7], whereas machine effort reduces the physical manpower requirement, and therefore, quality of output is enhanced. The major challenges that the emerging industry face can effectively subdued through [i] proper decentralization of systems, [ii] assortment of systems and associated devices, [iii] data complexity and heterogeneity, and [iv] complexity of existing network. Major security issues are nullified through incorporation of these features [8, 9]. In particular, IoT-enabled system contains the following assets:

       Across various IoT-based devices, the ability to exchange information between the systems/devices applied