Performance Analysis of CUDA and OpenCL by Implementation of Cryptographic Algorithms

This paper presents a Performance Analysis of CUDA and OpenCL. Three different cryptographic algorithms, i.e. DES, MD5, and SHA-1 have been selected as the benchmarks for extensive analysis of the performance gaps between the two.Our results show that, on the average scenario, CUDA performs 27% better than OpenCL while in the best case scenario it takes over OpenCL by 30%. As far as the optimal number of threads per block goes, 256 threads per block is the most performant choice,proving that the CUDA architecture is able to deal with an increased pressure on the register file without problems as CUDA scores 4.5 times over OpenCL in terms of stability

Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified

An intelligent approach to optimize the EDM process parameters using utility concept and QPSO algorithm

Although significant research has gone into the field of electrical discharge machining (EDM), analysis related to the machining efficiency of the process with different electrodes has not been adequately made. Copper and brass are frequently used as electrode materials but graphite can be used as a potential electrode material due to its high melting point temperature and good electrical conductivity. In view of this, the present work attempts to compare the machinability of copper, graphite and brass electrodes while machining Inconel 718 super alloy. Taguchi’s L27 orthogonal array has been employed to collect data for the study and analyze effect of machining parameters on performance measures. The important performance measures selected for this study are material removal rate, tool wear rate, surface roughness and radial overcut. Machining parameters considered for analysis are open circuit voltage, discharge current, pulse-on-time, duty factor, flushing pressure and electrode material. From the experimental analysis, it is observed that electrode material, discharge current and pulse-on-time are the important parameters for all the performance measures. Utility concept has been implemented to transform a multiple performance characteristics into an equivalent performance characteristic. Non-linear regression analysis is carried out to develop a model relating process parameters and overall utility index. Finally, the quantum behaved particle swarm optimization (QPSO) and particle swarm optimization (PSO) algorithms have been used to compare the optimal level of cutting parameters. Results demonstrate the elegance of QPSO in terms of convergence and computational effort. The optimal parametric setting obtained through both the approaches is validated by conducting confirmation experiments

Statistical Modeling of the Machinability of an In-Situ Synthesized RZ5/TiB2 Magnesium Matrix Composite in Dry Turning Condition

Machinability analyses of metal matrix composites are essential for manufacturing industries. The current study is focused on the mathematical modeling of the machinability of an in-situ synthesized RZ5-8 wt.% TiB2 composite using the Taguchi design statistical tools and analysis of variance (ANOVA). Taguchi&rsquo;s method indicates that the feed rate is the most influential parameter, followed by the depth of cut and cutting speed in determining the cutting force and surface roughness during the machining of the RZ5/8 wt.% TiB2 composite. A regression analysis of the experimental data was carried out using ANOVA, and regression equations were established to estimate cutting force and surface roughness under different parametric conditions. The regression model was validated for other test conditions and the maximum deviation observed was &plusmn;10%. Main effects plots and response surface plots were developed to analyze the machining parameters&rsquo; individual and combined effects on the RZ5/8 wt.% TiB2 composite&rsquo;s machinability. The chip morphology and tool wear of the RZ5/8 wt.% TiB2 composite were analyzed using FESEM under different machining conditions

Statistical Modeling of the Machinability of an In-Situ Synthesized RZ5/TiB₂ Magnesium Matrix Composite in Dry Turning Condition

Machinability analyses of metal matrix composites are essential for manufacturing industries. The current study is focused on the mathematical modeling of the machinability of an in-situ synthesized RZ5-8 wt.% TiB2 composite using the Taguchi design statistical tools and analysis of variance (ANOVA). Taguchi’s method indicates that the feed rate is the most influential parameter, followed by the depth of cut and cutting speed in determining the cutting force and surface roughness during the machining of the RZ5/8 wt.% TiB2 composite. A regression analysis of the experimental data was carried out using ANOVA, and regression equations were established to estimate cutting force and surface roughness under different parametric conditions. The regression model was validated for other test conditions and the maximum deviation observed was ±10%. Main effects plots and response surface plots were developed to analyze the machining parameters’ individual and combined effects on the RZ5/8 wt.% TiB2 composite’s machinability. The chip morphology and tool wear of the RZ5/8 wt.% TiB2 composite were analyzed using FESEM under different machining conditions

Biochemical profile of patients with organophosphorus poisoning: Report from a rural based teaching hospital in eastern India

Background: Organophosphorus (OP) poisoning is a very common form of poisoning, especially in rural areas due to the use of OP poisons for agricultural purposes. There is high mortality and morbidity among patients with a history of consumption of this poison. Aim: This study aimed to find various biochemical test parameters among patients with OP poisoning admitted to a hospital in the state of West Bengal, India. Materials and Methods: This was an observational cross-sectional study and conducted from January 2020 to July 2021. During the study period, any patients admitted to General Medicine with a history of OP poisoning were included in the study. Aseptically collected venous blood was collected on admission, 12 hours, 24 hours, and 48 hours of admission and immediately sent to the central laboratory for analysis in an automated analyzer. Result: A total of 100 patients were analyzed. Among them 80 patients were alive and 20 patients died. The majority of the patients were young adults(21 - 30 years [53%]). Among the patients, 64% were male, 91% were rural inhabitants, and 43% were a farmer in the profession. The level of haemoglobin was higher, total WBC count was lower, liver enzymes were lower, and urea and creatinine were lower among the patients who survived. However, the sodium, potassium, and calcium were not significantly different between dead and alive patients. Conclusion: In the management of OP poisoning, the biochemical profile of blood may help identify the patients at risk, and appropriate management can be started accordingly. The biochemical profile also helps in the prognosis of OP poisoning. &nbsp