Forecasting currency exchange rate time series with fireworks-algorithm-based higher order neural network with special attention to training data enrichment

Exchange rates are highly fluctuating by nature, thus difficult to forecast. Artificial neural networks (ANN) have proved to be better than statistical methods. Inadequate training data may lead the model to reach suboptimal solution resulting, poor accuracy as ANN-based forecasts are data driven. To enhance forecasting accuracy, we suggests a method of enriching training dataset through exploring and incorporating of virtual data points (VDPs) by an evolutionary method called as fireworks algorithm trained functional link artificial neural network (FWA-FLN). The model maintains the correlation between the current and past data, especially at the oscillation point on the time series. The exploring of a VDP and forecast of the succeeding term go consecutively by the FWA-FLN. Real exchange rate time series are used to train and validate the proposed model. The efficiency of the proposed technique is related to other models trained similarly and produces far better prediction accuracy

Efficient Implementation of Low Complexity High Throughput QR Decomposition for MIMO Systems

MIMO techniques have been widely adopted to increase the data transmission rate or to improve the quality of services(QoS) in recent wireless communication system. thus MIMO signal processing plays an important role and attracts much attentions in system design, regarding both aspects of performance and implementations.to deal with the multi-dimensional signals, matrix inversion or triangularization is often required. Consequently, QR decomposition is an essential tool to achieve the goal. For example QR decomposition has been utilized in the precoder of the transmitter to convert a MIMO-OFDM channel into layered subchannels. it is also needed to pre-process the signal to be detected by MIMO sphere decoders. Besides, MIMO signal detection can be accomplished simply by QR decomposition. Hence to meet the demands of a high transmission rate, a high throughput QR decomposition module is necessary. This thesis presents a design to achieve high performance QR decomposition, using the given’s rotation. It utilizes a new 2-D systolic array architecture with pipelined processing elements, which are based on the COrdinate Rotation Digital Computer(CORDIC) algorithm. CORDIC computes vector rotations through shifts and additions. This approach allows a continuos computation of QR factorizations with simple hardware

Manufacture of die and their designing parameters for sintered AMC product

The main goal in the advancement of composites with an aluminum metal matrix is to provide high performance and better mechanical properties from the currently available materials. Aluminium metal composite (AMC) can be researched and used in many industrial applications, such as manufacturing, aerospace, defense, pipelines and the automotive industry. The production of AMC is only possible with help of a suitable die in solid route of powder metallurgy process. Thus, the design of die is most important step in the process of powder metallurgy. The shape, size and design of the die directly influence the final AMC product. A number of steps and considerations like stress concentration and the propagation of cracks should be made for designing the die before its manufacture. The present work is made to attempt the fabrication and design of a cold compaction die with EN 10083 steel used for powder metallurgy process

A comprehensive study of the estuary sea environment in the Bay of Bengal, near the Mahanadi River confluence

Abstract This study focuses on the environmental conditions of the Mahanadi Estuary near Paradeep Harbor and the adjacent sea. Data collected from May 2013 to April 2020 from 32 GPS fixed stations was analyzed to assess the water quality in different zones (estuarine, mixed zone, mixed zone south, and mixed zone north) of study area. Parameters such as pH, SST, TSS, nitrite, phosphate, silicate, TOC, chlorophyll, fecal coliform, and heavy metals were used to estimate the Water Quality Index (WQI) for each zone. The study found a deterioration (> 30%) in the overall water quality of the Mahanadi Estuary from 2013 to 2020, potentially attributed to river inflows, port activities, and industrial outflows in to the coastal ecosystem. Seasonal variations in temperature, salinity, turbidity, nitrite, nitrate, and ammonia were observed. The water quality showed a deteriorating trend in estuarine, mixed zone, mixed zone south, and mixed zone north. Based on the water quality indices, the ecosystem shows moderate levels of stress. The degraded water quality highlights the need for a targeted mitigation plan to reduce external pressures and enhance the overall ecosystem quality. Graphical Abstrac

Effect of a Recombinant Human Soluble Thrombomodulin on Mortality in Patients With Sepsis-Associated Coagulopathy The SCARLET Randomized Clinical Trial

Importance: Previous research suggested that soluble human recombinant thrombomodulin may reduce mortality among patients with sepsis-associated coagulopathy. Objective: To determine the effect of human recombinant thrombomodulin vs placebo on 28-day all-cause mortality among patients with sepsis-associated coagulopathy. Design, Setting, and Participants: The SCARLET trial was a randomized, double-blind, placebo-controlled, multinational, multicenter phase 3 study conducted in intensive care units at 159 sites in 26 countries. All adult patients admitted to one of the participating intensive care units between October 2012 and March 2018 with sepsis-associated coagulopathy and concomitant cardiovascular and/or respiratory failure, defined as an international normalized ratio greater than 1.40 without other known etiology and a platelet count in the range of 30 to 150 × 10 9/L or a greater than 30% decrease in platelet count within 24 hours, were considered for inclusion. The final date of follow-up was February 28, 2019. Interventions: Patients with sepsis-associated coagulopathy were randomized and treated with an intravenous bolus or a 15-minute infusion of thrombomodulin (0.06 mg/kg/d [maximum, 6 mg/d]; n = 395) or matching placebo (n = 405) once daily for 6 days. Main Outcome and Measures: The primary end point was 28-day all-cause mortality. Results: Among 816 randomized patients, 800 (mean age, 60.7 years; 437 [54.6%] men) completed the study and were included in the full analysis set. In these patients, the 28-day all-cause mortality rate was not statistically significantly different between the thrombomodulin group and the placebo group (106 of 395 patients [26.8%] vs 119 of 405 patients [29.4%], respectively; P =.32). The absolute risk difference was 2.55% (95% CI, -3.68% to 8.77%). The incidence of serious major bleeding adverse events (defined as any intracranial hemorrhage; life-threatening bleeding; or bleeding event classified as serious by the investigator, with administration of at least 1440 mL [typically 6 units] of packed red blood cells over 2 consecutive days) was 23 of 396 patients (5.8%) in the thrombomodulin group and 16 of 404 (4.0%) in the placebo group. Conclusions and Relevance: Among patients with sepsis-associated coagulopathy, administration of a human recombinant thrombomodulin, compared with placebo, did not significantly reduce 28-day all-cause mortality. Trial Registration: ClinicalTrials.gov Identifier: NCT01598831