Efficient error correcting scheme for chaos shift keying signals

An effective error-correction scheme based on normalized correlation for a non coherent chaos communication system with no redundancy bits is proposed in this paper. A modified logistic map is used in the proposed scheme for generating two sequences, one for every data bit value, in a manner that the initial value of the next chaotic sequence is set by the second value of the present chaotic sequence of the similar symbol. This arrangement, thus, has the creation of successive chaotic sequences with identical chaotic dynamics for error correction purpose. The detection symbol is performed prior to correction, on the basis of the suboptimal receiver which anchors on the computation of the shortest distance existing between the received sequence and the modified logistic map’s chaotic trajectory. The results of the simulation reveal noticeable Eb/No improvement by the proposed scheme over the prior to the error- correcting scheme with the improvement increasing whenever there is increase in the number of sequence N. Prior to the error-correcting scheme when N=8, a gain of 1.3 dB is accomplished in Eb/No at 10-3 bit error probability. On the basis of normalized correlation, the most efficient point in our proposed error correction scheme is the absence of any redundant bits needed with minimum delay procedure, in contrast to earlier method that was based on suboptimal method detection and correction. Such performance would render the scheme good candidate for applications requiring high rates of data transmission

An Improved M-ary Modulation Scheme Based on Chaotic Dynamics, Journal of Telecommunications and Information Technology, 2019, nr 4

This paper proposes an improved chaos-based M-ary modulation system. It reproduces deterministic chaotic dynamics to create M-ary non-coherent modulation. The proposed modulation system transmits data using autonomous chaotic sequences. It separates the chaotic dynamics through the use of interleavers and realigns them through the use deinterleavers. The simulation results show that the improved scheme overperforms its traditional counterpart. The degree of improvement grows as the M-ary order is increased, with a penalty of increased system complexit

The Bacillus Calmette-Guérin (BCG) Vaccine: Is it a better choice for the treatment of viral warts?

Objectives: This study aimed to compare the effectiveness of the bacillus Calmette-Guérin (BCG) vaccine with topical salicylic acid (SA) in the treatment of viral warts. Methods: This non-randomised controlled trial was conducted at the Al-Sader Teaching Hospital, Basrah, Iraq, from January 2016 to April 2017. A total of 201 patients with viral warts were injected with an intradermal purified protein derivative. Subsequently, those with negative tuberculin test results received an intradermal BCG vaccination, while those with positive results underwent conventional treatment with topical SA. Patients were assessed for any signs of improvement at one, two and three months. Results: Overall, 190 patients completed the trial; of these, 133 (70%) received the BCG vaccine and 57 (30%) were treated with topical SA. Complete response to treatment was observed in 9.8% and 5.3% of patients in the BCG and SA groups, respectively (P <0.001). Cure rates were significantly higher for patients with genital (22.2% versus 7.7%; P = 0.002) and common warts (8.5% versus 0%; P = 0.001) treated with the BCG vaccine; however, the reverse was true for flat warts (12.9% versus 25%; P = 0.041). A binary logistic regression analysis indicated that BCG therapy was the only significant independent predictor of positive treatment response (odds ratio: 7.56, 95% confidence interval: 3.72–15.36; P <0.001). Conclusion: The BCG vaccine was more effective than topical SA for treating viral warts, with the best response noted in the treatment of genital warts, followed by flat warts. However, plantar warts demonstrated least response to this treatment.Keywords: Human Papilloma Viruses; Warts; Immunotherapy; BCG Vaccine; Salicylic Acid; Clinical Trial; Treatment Effectiveness

Numerical Investigation of the Bedding Factor of Concrete Pipes under Deep Soil Fill

Abstract -The Indirect Design Method is often used to design buried concrete pipes. This method is based on linking the required strength of the buried concrete pipe to the laboratory strength of the pipe by using an empirical factor called the bedding factor. Hence, the bedding factor is key in the Indirect Design Method. However, a thorough review of the literature showed that the bedding factor has not received signification attention in previous studies. This study therefore reports the preliminary results of ongoing research investigating the bedding factors and the behaviour of concrete pipes under deep soil fill using validated numerical modelling. The results showed that the AASHTO bedding factors for type 2, type 3 and type 4 AASHTO installations are conservative, while the bedding factor is unsafe for pipes buried in type 1 installation with a backfill height of less than 2.4 m. Comparing the results of the present study with the British Standard bedding factors showed that these factors are overly conservative. Hence, both design standards should be updated to enhance the robustness of the design approaches and make the design of concrete pipes more economic. Keywords: The Indirect Design Method, The bedding factor, Reinforced Concrete pipes, AASHTO, BS. Nomenclatur

A Novel Poisoned Water Detection Method Using Smartphone Embedded Wi-Fi Technology and Machine Learning Algorithms

Water is a necessary fluid to the human body and automatic checking of its quality and cleanness is an ongoing area of research. One such approach is to present the liquid to various types of signals and make the amount of signal attenuation an indication of the liquid category. In this article, we have utilized the Wi-Fi signal to distinguish clean water from poisoned water via training different machine learning algorithms. The Wi-Fi access points (WAPs) signal is acquired via equivalent smartphone-embedded Wi-Fi chipsets, and then Channel-State-Information CSI measures are extracted and converted into feature vectors to be used as input for machine learning classification algorithms. The measured amplitude and phase of the CSI data are selected as input features into four classifiers k-NN, SVM, LSTM, and Ensemble. The experimental results show that the model is adequate to differentiate poison water from clean water with a classification accuracy of 89% when LSTM is applied, while 92% classification accuracy is achieved when the AdaBoost-Ensemble classifier is applied

Investigation of the performance of a Solar Powered Adsorption Heat Pipe

An adsorption heat pipe was designed and built from a stainless steel tube of 32 mm outer diameter, 30 mm inner diameter and 1000 mm long, the inner surface of the tube was coated by 10 mm thickness of active carbon, which was assumed to be the adsorbent, while the adsorbent was assumed to be the methanol, or acetone. The adsorption heat pipe consist of three zones, namely adsorption/ desorption, adiabatic and evaporation/condensation zones. Electrical heater with variables capacity is used to heat up the unit generator during desorption process, water was used to cool the condenser, while air was used to cool the generator. Two types of adsorption pair are used, namely active carbon-methanol and active carbon-acetone. The effect of heat input to the generator on the heat pipe surface temperature and evaporator temperature are studied. The results showed that the adsorption heat pipe can work at a relatively low temperature namely 70-100 oC, the time required for cooling process in the range of 18 to 24 minutes, and activated carbon – Acetone pair gave a good behavior for the heat pipe due to the short cycle– time compared with that for activated carbon – Methano

Evaluation of Vascular Endothelial Growth Factor-A (VEGF-A) in Iraqi patients with urinary bladder cancer

Abstract:Objective: The aim of this work is to study the alterations in the vascular endothelial growth factor (VEGF-A), and its role in pathogenicity of bladder cancer in serum of men who are initially diagnosed with this disease.Methods: The current study was applied in pathology department of British United Kingdom kings college hospital during April 2112 to August 2113 by using Enzyme Linked Immuno Assay (ELISA) on serum taken from 42 men infected with bladder cancer , and other 33 benign considered as a control group to detect vascular endothelial growth factor type A (VEGF-A).Data analysis: SPSS computerizing system has been used for statistically analysis of data.Results: The results revealed a highly significant (P<1.15) level of VEGF-A in serum of patients in comparison with the control group.Conclusion:It was concluded from the results of the present study that VEGF-A was good prognostic biomarker for urinary bladder cancer in men ,and these results significantly correlate with the early stages of disease.Recommendation : It may be recommended that using VEGF-A to predict and diagnosis the bladder cancer.Key words:VEGF-A, bladder cancer