International Conference on Signal Processing and Communication


ICSPC'17 28 & 29 july 2017

Keynote Speakers


Computer-aided Diagnosis of Retinopathy of Prematurity

Prof. Rangaraj M Rangayyan, University of Calgary, Canada



Abstract: The structure of the blood vessels in the retina is affected by diabetes, hypertension, arteriosclerosis, retinopathy of prematurity (RoP), and other conditions through modifications in shape, width, and tortuosity. Computer-aided detection, modeling, and quantitative analysis of features related to the retinal vascular architecture could assist in consistent, quantitative, and accurate assessment of pathological processes by ophthalmologists. This seminar provides details on digital image processing and pattern recognition techniques for the detection and analysis of retinal blood vessels, detection of the optic nerve head, modeling of shape for quantitative analysis of the temporal arcades, measurement of the thickness of retinal vessels, and detection of tortuous vessels.



Narrow - band Rate Prediction for Broad-band Wireless Access - How Elusive and Slippery can this be?

Prof. K.Giridhar, IIT Madras, India


Wireless access technology has evolved from voice-only services in the early days of 2G cellular, to data plus voice services in 2.5G and 3G, and to purely data services in 4G standards. The key element that has made this transition to data services possible is called adaptive modulation and coding (AMC), where the rate served by the transmit node to the receive node on the forward link is nearly continuously adapted based on the channel quality indicators (CQIs) provided by the receive node on the feedback (reverse) link.

Since only occasional feedback can be given by a mobile receiver to conserve power, this AMC based link adaptation scheme can suffer from several inaccuracies. The scheme not only requires the estimation of the current bit-rate that the receiver can accept on a given resource element, but also requires a prediction of what the receive node can accept some time later into the future.

We would like to bring out the fact that this rate prediction problem is very elusive, especially if it is to be predicted on a narrow-band basis where the short-term fading effects of the channel will also have a role to play. Current 4G wireless access systems such as 3GPP-LTE use “proprietary” methods to handle this rate prediction. Indeed, this problem becomes even more slippery when beamforming dominated access solutions are introduced in the so-called 5G wireless systems which are expected to be prevalent by the next decade.

  Curriculum Vitae



Will be Updated

Prof. S. Raghavan, NIT Trichy, India

Abstract: Will be Updated
  Curriculum Vitae



Ubiquitous Virtual Reality: Context-based Dual Reality Linkage in Product Design Environment

Dr. Bernadetta Kwintiana Ane, University of Stuttgart, Germany


Ubiquitous Virtual Reality (U-VR) is a new computing paradigm established to apply the concept of virtual reality into ubiquitous computing environments. The U-VR is defined as as a concept of realizing VR on ubiquitous smart space, i.e., making VR pervasive into our daily lives and ubiquitous by allowing VR to meet a new infrastructure, so-called ubiquitous computing. The basic concept of U-VR is based on the seamless mapping between a virtual world and the corresponding real world. Virtual reality extends human abilities in a virtual space which is constructed by computers, while ubiquitous computing extends human abilities in real space by developing networked infrastructure, smart objects, intelligent interaction, etc. The U-VR has three key characteristics: reality, context, and human activity. Here ‘context’ is a key factor to unify virtual reality and ubiquitous computing. Context in real world is changing as time goes on, thus it could have different representation according to time granularity. In design environment, the graphical-user interface (GUI) authoring tools such as mouses and keyboards in most cases are more precise so that users can set more specific values exactly. But, as the number of properties increase, the more time and effort is needed by common users to work with the tool. On the other hand, the tangible-user interface (TUI) authoring tool has showed ability to create an intuitive interface, where novice users can perform such manipulation as 3D translation, rotation, and scaling in a seamless dual reality environment. In the U-VR environment, the TUI authoring tools provide higher ability and flexibility to do manipulation of visual, sounds, and haptic effects at the same time.





On-demand Processing of Science Data and Software Defined Networks - Challenges and Opportunities
Dr. Rajkumar Kettimuthu



As the volume and velocity of data generated by scientific experiments increase, research success in a growing number of scientific fields depends on the ability to analyze data rapidly. In many situations, scientists and engineers want instant feedback, so that results from one experiment can guide selection of the next—or even influence the course of a single experiment. This requirement to process the large-scale scientific data in a near real-time fashion posses significant challenges for both computation and communication. In this talk, I will discuss the challenges and opportunities in 1) enabling on-demand processing of science data in supercomputers, and 2) communicating large-scale data over the wide-area network in near real-time. I will describe our work on 1) highly-parallelized data processing framework which can process 4 terabytes of data within 5 minutes on a supercomputer, 2) software-defined networking to provision end-to-end communication resources in a multi-domain environments, and 3) stream processing to provide instant feedback and enable automated experimental steering.