scholarly journals High Capacitive Secure Image Transmission Over Wireless Channels

2021 ◽  
Vol 10 (2) ◽  
pp. 564-570
Keyword(s):  
Medical Care ◽  
Data Transmission ◽  
Communication Systems ◽  
Wireless Channels ◽  
Clinical Information ◽  
Image Transmission ◽  
Care Practice ◽  
Text Data ◽  
Open Networks ◽  
Security Algorithm

Expansion of internet connectivity and its usage globally has increased various demands of providing security for the data transmission. Telemedicine is a modern way of medical care that can be extended to any remote place across the globe. This medical care practice is a result of the deployment of communication systems and information technology into healthcare system. With this technology the diagnosed data can be shared with physician and take his consultation remarks and also physicians can access to diagnostic archive and share for medical practice and learning. However, this exchange of information is confined with several risks of data theft when they are shared in open networks and hence they are to be protected with high security algorithms. This paper provides a high capacitive security algorithm for protecting the images with hidden confidential information. The approach provides a two-way security by encrypting the clinical information initially and embedding it imperceptibly in the concerned image so that the user on other can obtain both the visual and text data at same instance

Data Transmission Oriented on the Object, Communication Media, Application, and State of Communication Systems

2011 ◽  
Vol 3 (2) ◽  
pp. 51-65
Author(s):  
Mike Sabelkin ◽  
François Gagnon
Keyword(s):  
Data Transmission ◽  
Channel Coding ◽  
Communication Systems ◽  
Reference Model ◽  
Image Transmission ◽  
Wireless Channel ◽  
Superior Performance ◽  
Communication Media ◽  
Fast Analysis ◽  
Wide Range

The proposed communication system architecture is called TOMAS, which stands for data Transmission oriented on the Object, communication Media, Application, and state of communication Systems. TOMAS could be considered a Cross-Layer Interface (CLI) proposal, since it refers to multiple layers of the Open Systems Interconnection Basic Reference Model (OSI). Given particular scenarios of image transmission over a wireless LOS channel, the wireless TOMAS system demonstrates superior performance compared to a JPEG2000+OFDM system in restored image quality parameters over a wide range of wireless channel parameters. A wireless TOMAS system provides progressive lossless image transmission under influence of moderate fading without any kind of channel coding and estimation. The TOMAS system employs a patent pending fast analysis/synthesis algorithm, which does not use any multiplications, and it uses three times less real additions than the one of JPEG2000+OFDM.

Data Transmission Oriented on the Object, Communication Media, Application, and State of Communication Systems

2013 ◽  
pp. 117-132
Author(s):  
Mike Sabelkin ◽  
François Gagnon
Keyword(s):  
Data Transmission ◽  
Channel Coding ◽  
Communication Systems ◽  
Reference Model ◽  
Image Transmission ◽  
Wireless Channel ◽  
Communication Media ◽  
Fast Analysis ◽  
Open Systems Interconnection ◽  
The One

The proposed communication system architecture is called TOMAS, which stands for data Transmission oriented on the Object, communication Media, Application, and state of communication Systems. TOMAS could be considered a Cross-Layer Interface (CLI) proposal, since it refers to multiple layers of the Open Systems Interconnection Basic Reference Model (OSI). Given particular scenarios of image transmission over a wireless LOS channel, the wireless TOMAS system demonstrates superior performance compared to a JPEG2000+OFDM system in restored image quality parameters over a wide range of wireless channel parameters. A wireless TOMAS system provides progressive lossless image transmission under influence of moderate fading without any kind of channel coding and estimation. The TOMAS system employs a patent pending fast analysis/synthesis algorithm, which does not use any multiplications, and it uses three times less real additions than the one of JPEG2000+OFDM.

scholarly journals Secure image transmission over wireless network

2018 ◽  
Vol 7 (4) ◽  
pp. 2758
Author(s):  
Salah A. Aliesawi ◽  
Dena S. Alani ◽  
Abdullah M. Awad
Keyword(s):  
Turbo Codes ◽  
Channel Coding ◽  
Communication Systems ◽  
Wireless Channels ◽  
Image Transmission ◽  
Signal Propagation ◽  
Data Encryption ◽  
Error Rates ◽  
Delay Spread ◽  
High Level

The advances recently seen in data compression, and communication systems, have made it viable to design wireless image transmission systems. For many applications such as confidential transmission, military and medical applications, data encryption techniques should be also used to protect the confidential data from intruders. For these applications, both encryption and compression need to be performed to transmit a message in a fast and secure way. Further, the wireless channels have fluctuating channel qualities and high bit error rates. In this paper, a new scheme based on encryption and channel coding has been proposed for secure image transmission over wireless channels. In the proposed scheme, the encryption process is based on keys generator and Chaotic Henon map. Turbo codes are utilized as channel coding to deal effectively with the channel errors, multipath signal propagation and delay spread. Simulation results show that the proposed system achieves a high level of robustness against wide different of attacks and channel impairments. Further, it improves image quality with acceptable data rates. 

scholarly journals Deep-learning-based high-resolution recognition of fractional-spatial-mode-encoded data for free-space optical communications

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Youngbin Na ◽  
Do-Kyeong Ko
Keyword(s):  
Deep Learning ◽  
Communication Systems ◽  
Degrees Of Freedom ◽  
Image Transmission ◽  
Data Traffic ◽  
Free Space Optical ◽  
Learning Classifier ◽  
Communication Capacity ◽  
Data Rates ◽  
Mode Space

AbstractStructured light with spatial degrees of freedom (DoF) is considered a potential solution to address the unprecedented demand for data traffic, but there is a limit to effectively improving the communication capacity by its integer quantization. We propose a data transmission system using fractional mode encoding and deep-learning decoding. Spatial modes of Bessel-Gaussian beams separated by fractional intervals are employed to represent 8-bit symbols. Data encoded by switching phase holograms is efficiently decoded by a deep-learning classifier that only requires the intensity profile of transmitted modes. Our results show that the trained model can simultaneously recognize two independent DoF without any mode sorter and precisely detect small differences between fractional modes. Moreover, the proposed scheme successfully achieves image transmission despite its densely packed mode space. This research will present a new approach to realizing higher data rates for advanced optical communication systems.

scholarly journals Epidemiological features and medical care-seeking process of patients with COVID-19 in Wuhan, China

2020 ◽  
Vol 6 (2) ◽  
pp. 00142-2020 ◽  
Author(s):  
Jing Hua ◽  
Rongzhang Chen ◽  
Liming Zhao ◽  
Xiaodong Wu ◽  
Qian Guo ◽  
...  
Keyword(s):  
Medical Care ◽  
Early Recognition ◽  
Early Stage ◽  
Evaluation Process ◽  
Clinical Information ◽  
Healthcare Setting ◽  
Care Seeking ◽  
Medical Visit ◽  
Illness Onset ◽  
Clinical Recovery

BackgroundWe aimed to investigate the epidemiological and clinical features, and medical care-seeking process of patients with the 2019 coronavirus disease (COVID-19) in Wuhan, China, to provide useful information to contain COVID-19 in other places with similar outbreaks of the virus.MethodsWe collected epidemiological and clinical information of patients with COVID-19 admitted to a makeshift Fangcang hospital between 7 and 26 February, 2020. The waiting time of each step during the medical care-seeking process was also analysed.ResultsOf the 205 patients with COVID-19 infection, 31% had presumed transmission from a family member. 10% of patients had hospital-related transmission. It took as long as a median of 6 days from the first medical visit to receive the COVID-19 nucleic acid test and 10 days from the first medical visit to hospital admission, indicating early recognition of COVID-19 was not achieved at the early stage of the outbreak, although these delays were shortened later. After clinical recovery from COVID-19, which took a mean of 21 days from illness onset, there was still a substantial proportion of patients who had persistent SARS-CoV-2 infection.ConclusionsThe diagnostic evaluation process of suspected patients needs to be accelerated at the epicentre of the outbreak and early isolation of infected patients in a healthcare setting rather than at home is urgently required to stop the spread of the virus. Clinical recovery is not an appropriate criterion to release isolated patients and as long as 4 weeks' isolation for patients with COVID-19 is not enough to prevent the spread of the virus.

scholarly journals Homogeneous row-continuous bivariate markov chains with boundaries

1988 ◽  
Vol 25 (A) ◽  
pp. 237-256
Author(s):  
J. Keilson ◽  
M. Zachmann
Keyword(s):  
Data Transmission ◽  
Communication Systems ◽  
Buffer Capacity ◽  
Passage Time ◽  
Finite Buffer ◽  
Transition Rates ◽  
Boundary Problems ◽  
Ergodic Distribution ◽  
The Matrix ◽  
Voice Data

The matrix-geometric results of M. Neuts are extended to ergodic row-continuous bivariate Markov processes [J(t), N(t)] on state space B = {(j, n)} for which: (a) there is a boundary level N for N(t) associated with finite buffer capacity; (b) transition rates to adjacent rows and columns are independent of row level n in the interior of B. Such processes are of interest in the modelling of queue-length for voice-data transmission in communication systems. One finds that the ergodic distribution consists of two decaying components of matrix-geometric form, the second induced by the finite buffer capacity. The results are obtained via Green's function methods and compensation. Passage-time distributions for the two boundary problems are also made available algorithmically.

scholarly journals Performance of Polar-Coded 3D Image Transmission over Fading Channel

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Jianjun Hao ◽  
Luyao Liu ◽  
Wei Chen
Keyword(s):  
White Noise ◽  
Data Transmission ◽  
Fading Channel ◽  
Point Cloud ◽  
Gaussian White Noise ◽  
Image Data ◽  
Image Transmission ◽  
Transmission System ◽  
3D Point Cloud ◽  
3D Image

Any signal transmitted over an air-to-ground channel is corrupted by fading, noise, and interference. In this paper, a Polar-coded 3D point cloud image transmission system with fading channel is modeled, and also the simulation is performed to verify its performance in terms of 3D point cloud image data transmission over Rician channel with Gaussian white noise and overlap of Gaussian white noise + periodic pulse jamming separately. The comparison of Polar-coded scheme with RS-coded scheme in the same scenario indicates that Polar-coded system gives far better performance against AWGN noise and fading than the RS-coded system does in the case of short block length. But RS-coded scheme shows better performance on antipulse jamming than that of Polar-coded scheme, while there is no interleaving between codewords.

scholarly journals Adaptive algorithm based on antenna arrays for radio communication systems

2017 ◽  
Vol 14 (3) ◽  
pp. 301-312 ◽  
Author(s):  
Valentin Fedosov ◽  
Andrey Legin ◽  
Anna Lomakina
Keyword(s):  
Wireless Networks ◽  
Antenna Arrays ◽  
Data Transmission ◽  
Communication Systems ◽  
Electromagnetic Compatibility ◽  
Signal Propagation ◽  
Time Signal ◽  
Adaptive Antenna ◽  
Spatial Coding ◽  
Multiple Input

Trends in the modern world increasingly lead to the growing popularity of wireless technologies. This is possible due to the rapid development of mobile communications, the Internet gaining high popularity, using wireless networks at enterprises, offices, buildings, etc. It requires advanced network technologies with high throughput capacity to meet the needs of users. To date, a popular destination is the development of spatial signal processing techniques allowing to increase spatial bandwidth of communication channels. The most popular method is spatial coding MIMO to increase data transmission speed which is carried out due to several spatial streams emitted by several antennas. Another advantage of this technology is the bandwidth increase to be achieved without expanding the specified frequency range. Spatial coding methods are even more attractive due to a limited frequency resource. Currently, there is an increasing use of wireless communications (for example, WiFi and WiMAX) in information transmission networks. One of the main problems of evolving wireless systems is the need to increase bandwidth and improve the quality of service (reducing the error probability). Bandwidth can be increased by expanding the bandwidth or increasing the radiated power. Nevertheless, the application of these methods has some drawbacks, due to the requirements of biological protection and electromagnetic compatibility, the increase of power and the expansion of the frequency band is limited. This problem is especially relevant in mobile (cellular) communication systems and wireless networks operating in difficult signal propagation conditions. One of the most effective ways to solve this problem is to use adaptive antenna arrays with weakly correlated antenna elements. Communication systems using such antennas are called MIMO systems (Multiple Input Multiple Output multiple input - multiple outputs). At the moment, existing MIMO-idea implementations do not always noticeably accelerate traffic at short distances from the access point, but, they are very effective at long distances. The MIMO principle allows reducing the number of errors in radio data interchange (BER) without reducing the transmission rate under conditions of multiple signal re-reflections. The work aims at developing an adaptive space-time signal algorithm for a wireless data transmission system designed to improve the efficiency of this system, as well as to study the efficiency of the algorithm to minimizing the error bit probability and maximizing the channel capacity.

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