submit CrossRef Open Access Subscribe New Journal Ideal

Click on image to enlarge

Journal of Communication, Navigation, Sensing and Services (CONASENSE)

Editors-in-Chief: Ernestina Cianca, University of Tor Vergata, Rome, Italy
Albena Mihovska, Aalborg University, Denmark

ISSN: 2246-2120 (Print Version),

ISSN: 2246-2139 (Online Version)
Vol: 2016   Issue: 1

Published In:   January 2016

Publication Frequency: Continuous Article Publication

Search Availabe Volume and Issue for Journal of Communication, Navigation, Sensing and Services (CONASENSE)

Journal Description        Read Full Articles        Editorial Board        Subscription        Indexed

Adaptive Filtering Technique for Chronic Wound Analysis under Tele-Wound Network

doi: 10.13052/jconasense2246-2120.2016.005
Chinmay Chakraborty and Bharat Gupta

Department of Electronics and Communication, Birla Institute of Technology, Jharkhand, India

Abstract: [+]    |    Download File [ 6894KB ]   |    Read Article Online

Abstract: Efficient diagnosis of chronic wound depends on the quality of digital image that has reached the Tele-Medical Hub through Tele-Wound Network. However, how much ever precaution we take, while capturing the image by digital camera or by smartphone, presence of random/impulse noise would be always there to corrupt the captured image. The wound images give the vital information such as size, wound status, tissue composition and healing rate. In this paper, we have proposed adaptive filtering technique for chronic wound (CW) image analysis under Tele-wound network to improve the diagnosis. Here, the best filter has been chosen which can help to improve the diagnosis of wound.Acomparative study of 16 different filters has also been performed on 72 different wound images. The experimental results are given by comparing 8 different parameters. These various parameters are Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Signal to Noise Ratio (SNR), NegativeAbsolute Error (NAE), Maximum Difference (MD), Mean Structural Similarity Index (MSSIM), Universal Image Quality Index (UIQI) and Mean Absolute Error (MAE). Simulated results shows adaptive median provides better performances with respect to high value of PSNR (66.23), SNR (58.05) and lower value ofMSE(3.01),MAE(0.29), andNAE(0.01) between original and filtered image. The proposed methodology will assist the clinicians to take better decision towards diagnosis ofCWin terms of qualitative at low-resource setup.

Keywords: Adaptive Median Filter; Chronic Wound; Wound Image Analysis; Tele-Wound Network.

Tuberculosis Screening by Means of Speech Analysis

doi: 10.13052/jconasense2246-2120.2016.004
G. Saggio1 and S. Bothe2

1Dept. of Electronic Eng., Univ. of Rome Tor Vergata, Rome, Italy
2Dept. of MCA, IMED, Bharati Vidyapeeth Univ., Pune, India

Abstract: [+]    |    Download File [ 1322KB ]   |    Read Article Online

Abstract: The parameters of the human voice change according to a mix of emotional, psychological and physical body conditions. However, while it is evident that this change occurs because of happiness, sadness, euphoria, depression, excitement, and so ahead, there is less evidence of a direct correlation of the change of the voice with respect to specific physical and/or pathological conditions and/or diseases. This work intends to demonstrate such a correlation in the specific case of the tuberculosis disease, evidencing differences in the voice parameters of unhealthy with respect healthy people.

Keywords: Screening, tuberculosis, voice parameters.

Multiple Frame Rates for Feature Extraction and Reliable Frame Selection at the Decision for Speaker Identification Under Voice Disguise

doi: 10.13052/jconasense2246-2120.2016.003
Swati Prasad, Zheng-Hua Tan and Ramjee Prasad

Electronic Systems, Aalborg University, Aalborg-9220, Denmark

Abstract: [+]    |    Download File [ 1030KB ]   |    Read Article Online

Abstract: Determining the person who spoke a given speech utterance from a group of people is referred to as Speaker Identification. It is used in crime scenes, surveillance and consumer electronic products like smart TV. But it faces poor performance due to a mismatch between the train and the test speech data, that arises because of the adoption of voice disguise. Therefore, this paper studies the effect of three different types of voice disguises, namely, Fast (nonimitative), Synchronous (Imitative) and Repetitive Synchronous Imitation along with the normal speaking from the CHAINS corpus on the speaker identification performance. Finally, a system combining different frame rates for feature extraction and reliable frame selection at the decision level has been proposed. The evaluated system showed an overall better performance than the baseline systems.

Keywords: Robust speaker identification, voice disguise, biometric, frame selection

Beamforming Algorithms for UWB Radar-based Stroke Detection: Trade-off Performance-Complexity

doi: 10.13052/jconasense2246-2120.2016.002
E. Ricci, E. Cianca and T. Rossi

Department of Electronic Engineering, University of Rome “Tor Vergata”, Rome, Italy

Abstract: [+]    |    Download File [ 2683KB ]   |    Read Article Online

Abstract: The use ofUWB(Ultra-Wide Band) radar microwave imaging in stroke detection opens the possibility to develop low cost, fast response and transportable diagnostic devices, which could play a key role in emergency scenarios. The feasibility of such a device is strictly related to the trade-off performancecomplexity, which depends from the chosen beamforming algorithm, the number of antennas and the radar mode (monostatic/multistatic). This paper aims to provide a better understanding of this trade-off for several beamforming algorithms and radar configurations (monostatic/multistatic) applied to stroke detection. Comparisons are performed assuming an antenna system with a low number of antennas (namely 8) with respect to more commonly considered settings for this application (from 16 to 48 antennas). The study is based on FDTD simulations and considered beamforming algorithms are: Delay & Sum (considered in most of the works on UWB radar stroke detection); MIST algorithms and adapted versions of the MIST and RAR algorithms originally proposed for breast cancer detection.

Keywords: Brain stroke detection, beamforming algorithms, microwave UWB radar.

An Introduction to Radio Locationing with Signals of Opportunity

doi: 10.13052/jconasense2246-2120.2016.001
Homayoun Nikookar1,2,∗ and Patrick Oonincx1

1Netherlands Defence Academy
2Delft University of Technology

Abstract: [+]    |    Download File [ 274KB ]   |    Read Article Online

Abstract: In this paper radio positioning techniques using “Signals of Opportunity (SOP)” are discussed. In some applications of navigation and positioning, Global Navigation Satellite Systems (GNSS), in general, and the Global Positioning System (GPS), in particular, do not work well and therefore researchers are interested in using other sources of radio signals (which are intended for other purposes) for the navigation and radio positioning applications. In this contribution first we mention some drawbacks of GPS. Then several types of signals of opportunity for positioning are enlisted and the advantages and disadvantages of these signals as well as methods of measurements are presented. The most crucial challenges of SOP for radio positioning are explained. Finally, a brief conclusion on the usage of signals of opportunity is presented.


River Publishers: Journal of Communication, Navigation, Sensing and Services (CONASENSE)