Special Issue "Smart Interfacing"

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: 15 May 2019

Special Issue Editors

Guest Editor
Prof. Subhas Mukhopadhyay

School of Engineering, MQ Centre for Smart Green Cities, Macquarie University, NSW 2109, Australia
Website | E-Mail
Interests: Internet of Things; sensor networks; wireless sensor networks; smart sensors; Sensors modeling
Guest Editor
Prof. Dr. Boby George

Department of Electrical Engineering, Indian Institute of Technology Madras, Madras 600036, Tamil Nadu, India
Website | E-Mail
Interests: sensors; instrumentation; interfacing circuits; sensors for industrial applications
Guest Editor
Prof. Dr. Joyanta Kumar Roy

System Advance Technologies Pvt. Limited, Kolkata 700051, West Bengal, India
Website | E-Mail
Interests: smart wireless sensors and actuators; Industry 4.0; distributed SCADA; Internet of systems; wearable IoT enabled devices

Special Issue Information

Dear Colleagues,

Accurate and reliable feedback information from the sensors is a key factor that determines the quality of overall performance of most of the modern engineering systems.  Timely availability of the sensor data, in the correct form, is indispensable to ensure that the information is available to the decision-making units through reliable channels, when and where required. To achieve this goal in the finest way, a chain of optimized subsystems that includes sensing elements, signal conditioning or interfacing circuits, digitizers or analog-to-digital converters and communication modules and channels are required. Performance of the whole sensor system depends directly on the performance of each subsystem in the chain.

As time advances, there is always a need for new sensor systems that are called for by the ever-progressing streams of science and engineering. Growth in the technology helped us to device new and efficient sensing elements, but to capture the best out of them one has to have the subsystems, listed above, with matched performance. Advancements in the interfacing schemes and data transmission or sharing methods have expedited the ability to realize efficient sensor systems that we use today to sense various valuable parameters to provide effective feedback to the required systems. Interfacing schemes can be purely analog or digital or a combination of both. A number of research groups, across the world, are working towards developing new interfacing circuits to read from the recently developed sensing elements or to elicit better performance from the existing sensor systems. The performance parameters include reduction in power consumption, area, drift, complexity and cost. Additionally, it contains improvement in noise performance, usability, connectivity, accuracy, resolution, non-linearity, etc. On similar lines, innovation in the Wireless Sensor Network (WSN) and Internet of Things (IoT) have changed the way sensors are now integrated in small as well as large systems and hence the possibility of new sensing applications today is unlimited.

This Special Issue is envisioned to present the recent outcomes of the high-quality research steered by the researchers in the domain of smart interfacing. Authors are invited to submit original papers in the following areas (but not limited to)

(a) Smart Sensors, (b) sensor Interfacing, (c) IoT, (d) WSN, (d) intelligent instrumentation (e) Sensor signal processing and (f) novel sensing applications

Prof. Dr. Subhas Chandra Mukhopadhyay
Prof. Dr. Boby George
Prof. Dr. Joyanta Kumar Roy
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 550 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Smart Sensors
  • Smart Interfacing
  • Interfacing Electronics
  • Embedded Interfacing
  • Readout Circuits
  • Digital Interfacing
  • Sensor Networks
  • Internet of Things
  • Sensor Signal Processing
  • Sensing Applications
  • Intelligent Instrumentation

Published Papers (1 paper)

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Open AccessArticle Robust Computer Vision Chess Analysis and Interaction with a Humanoid Robot
Received: 15 January 2019 / Revised: 2 February 2019 / Accepted: 5 February 2019 / Published: 8 February 2019
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As we move towards improving the skill of computers to play games like chess against humans, the ability to accurately perceive real-world game boards and game states remains a challenge in many cases, hindering the development of game-playing robots. In this paper, we [...] Read more.
As we move towards improving the skill of computers to play games like chess against humans, the ability to accurately perceive real-world game boards and game states remains a challenge in many cases, hindering the development of game-playing robots. In this paper, we present a computer vision algorithm developed as part of a chess robot project that detects the chess board, squares, and piece positions in relatively unconstrained environments. Dynamically responding to lighting changes in the environment, accounting for perspective distortion, and using accurate detection methodologies results in a simple but robust algorithm that succeeds 100% of the time in standard environments, and 80% of the time in extreme environments with external lighting. The key contributions of this paper are a dynamic approach to the Hough line transform, and a hybrid edge and morphology-based approach for object/occupancy detection, that enable the development of a robot chess player that relies solely on the camera for sensory input. Full article
(This article belongs to the Special Issue Smart Interfacing)

Figure 1

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Image Fusion Based on Principal Component Analysis and Slicing Image Transformation
Author: Leonardo Acho and Pablo Buenestado
Abstract:Image fusion deals with the ability to integrate data from image sensors at different instants when the source information is uncertain. Although there exist many techniques on the subject, in this paper, we develop an originative technique based on principal component analysis and slicing image transformation to efficiently fuse a small set of noisy images. For instance, in neural data fusion, this approach requires a considerable number of corrupted images to efficiently produce the desired outcome and also requiring a considerable computing time because of the dynamics involved in the fusion data process. In our approach, the computation time is considerably smaller. This results appealing to increasing feasibility, for instance, in remote sensing or wireless sensor network. Moreover, and according to our numerical experiments, when our method is compared against the neural data fusion algorithm, it presents better performance.

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