Wyniki wyszukiwania - BazTech

1

Performance evaluation of stock price prediction models using EMAGRU

Erizal Erizal, Diqi Mohammad

Applied Computer Science

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2023

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Vol. 19, no 3

160--173

EN

Stock price prediction is an exciting issue and is very much needed by investors and business people to develop their assets. The main difficulties in predicting stock prices are dynamic movements, high volatility, and noises caused by company performance and external influences. The traditional method investors use is the technical analysis based on statistics, valuation of previous stock portfolios, and news from the mass media and social media. Deep learning can predict stock price movements more accurately than traditional methods. As a solution to the issue of stock prediction, the authors offer the Exponential Moving Average Gated Recurrent Unit (EMAGRU) model and demonstrate its utility. The EMAGRU architecture contains two stacked GRUs arranged in parallel. The inputs and outputs are the EMA10 and EMA20, formed from the closing prices over ten years. The authors also combine the AntiReLU and ReLU activation functions into the model so that EMAGRU has 6 model variants. The proposed model produces low losses and high accuracy. RMSE, MEPA, MAE, and R^2 are 0.0060, 0.0064, 0.0050, and 0.9976 for EMA10, and 0.0050, 0.0058, 0.0045, and 0.9982 for EMA20, respectively.

2

Non-intrusive current-based fault detection of electro-mechanical actuators with brushed DC motors

Hanuš Ondřej, Smid Radislav

Metrology and Measurement Systems

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2022

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Vol. 29, nr 3

505--523

EN

This paper proposes data-based fault detection methods for an electromechanical actuator (EMA) with a brushed DC motor. The jam and winding short faults are considered in the study as the most prominent EMA faults. The fault detection is based on evaluating the properties of the motor current, considering the basic electromechanical parameters of EMAs. The main advantages are a non-intrusive approach utilising a commonly accessible motor current measurement, simple configurability, and the ability to detect faults under varying operation modes of EMA, including changes of speed, load, or movement profiles. The proposed methods have been evaluated with a custom testing system, and the results have proven the performance of the proposed approach to detect faults under varying operating conditions in industrial applications.

3

Jaya Spider Monkey Optimization-driven Deep Convolutional LSTM for the prediction of COVID’19

Chander Satish, Padmanabha Vijaya, Mani Joseph

Bio-Algorithms and Med-Systems

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2020

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Vol. 16, no. 4

art. no. 20200030

EN

COVID’19 is an emerging disease and the precise epidemiological profile does not exist in the world. Hence, the COVID’19 outbreak is treated as a Public Health Emergency of the International Concern by the World Health Organization (WHO). Hence, an effective and optimal prediction of COVID’19 mechanism, named Jaya Spider Monkey Optimization-based Deep Convolutional long short-term classifier (JayaSMO-based Deep ConvLSTM) is proposed in this research to predict the rate of confirmed, death, and recovered cases from the time series data. The proposed COVID’19 prediction method uses the COVID’19 data, which is the trending domain of research at the current era of fighting the COVID’19 attacks thereby, to reduce the death toll. However, the proposed JayaSMO algorithm is designed by integrating the Spider Monkey Optimization (SMO) with the Jaya algorithm, respectively. The Deep ConvLSTM classifier facilitates to predict the COVID’19 from the time series data based on the fitness function. Besides, the technical indicators, such as Relative Strength Index (RSI), Rate of Change (ROCR), Exponential Moving Average (EMA), Williams %R, Double Exponential Moving Average (DEMA), and Stochastic %K, are extracted effectively for further processing. Thus, the resulted output of the proposed JayaSMO-based Deep ConvLSTM is employed for COVID’19 prediction. Moreover, the developed model obtained the better performance using the metrics, like Mean Square Error (MSE), and Root Mean Square Error (RMSE) by considering confirmed, death, and the recovered cases of COVID’19 for China and Oman. Thus, the proposed JayaSMO-based Deep ConvLSTM showed improved results with a minimal MSE of 1.791, and the minimal RMSE of 1.338 based on confirmed cases in Oman. In addition, the developed model achieved the death cases with the values of 1.609, and 1.268 for MSE and RMSE, whereas the MSE and the RMSE value of 1.945, and 1.394 is achieved by the developed model using recovered cases in China.

4

Near electromagnetic field measurement of microprocessor

Martinasek Z., Zeman V., Sysel P., Trasy K.

Przegląd Elektrotechniczny

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2013

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R. 89, nr 2a

203--207

EN

The article describe systematically the electromagnetic (EM) side channels sources and electromagnetic field of the microprocessor and is focused on the best way how to measure the near electromagnetic field of microprocessor. It was suggested and realized several electromagnetic probes and it was performed the measurement regarded to the theoretical background on the testbed with cryptographic module (microprocessor) performed the Advanced Encryption Standard (AES). On the measured waveforms of the electromagnetic emission was studied the influence of probe construction namely two parameters wire diameter and number of turns. In following measurement was studied how induced voltage depending on the distance of measuring coil to microprocessor and the last measurement dealt with position of probe and microchip.

PL

W artykule przedstawiono zagadnienie emisji pola elektromagnetycznego przez mikroprocesor i zawartych w nim informacji o stanie układu. Korzystając z platformy mikroprocesorowej, zaimplementowano AES i dokonano pomiarów sondami cewkowymi, badając zależność indukowanego napięcia od parametrów sondy (grubość drutu, ilość zwojów).

5

Wielowejściowe bramki prądowe

Łuczak R., Rajewska M.

Elektronika : konstrukcje, technologie, zastosowania

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2011

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Vol. 52, nr 9

171-174

PL

W pracy ukazane są wybrane aspekty realizacji cyfrowych układów prądowych, a w szczególności nakład sprzętowy i pobierana moc. Podejmuje się próbę redukcji nakładu sprzętowego i mocy poprzez realizację wielowejściowych bramek prądowych. Zaproponowano budowę bramek wielowejściowych, realizujących te same funkcje logiczne, które dotychczas realizowano za pomocą kilku bramek. Pokazano zastosowanie nowych bramek, a w szczególności nowej dwuwejściowej bramki, realizującej funkcję logiczną NOR do implementacji funkcji wzorcowej typu T. Ponieważ algebra Bramek prądowych różni się od algebry Boole'a, gdyż poza stanami logicznymi "1" i "O", występuje stan logiczny "-1", minimalizację układów przeprowadza się z innymi technikami, wyszukując tzw. funkcji wzorcowych. Funkcja typu T jest jedną z nich. Jej realizacja sprzętowa wymagała dotychczas zastosowania dwóch bramek. Skutkiem stosowania bramek wielowejściowych jest znacząca redukcja nakładu sprzętowego i mocy pobieranej przez system CMCL (Current-Mode Current Logic), co jednocześnie wpływa na wzrost szybkości przetwarzania.

EN

In present paper the issues of the realisation of digital circuits of current-mode gates are presented. Especially the power consumption and large complexity of circuits were shown. The attempt of the reduction of both of adverse features, by the realisation of multi-input modules using for the synthesis of current-mode gates is taken. As a result of the research. the modification of modules was done. With new modules, the construction of multi-input current-mode gates, realising the same logical functions as several gates together before is possible. The new multi-input currenl-mode gates, aspecially the dual-input NOR gate for the hardware implementation of the T-type standard logical function is proposed. The algebra of current-mode gates is different than boolean. With logical states "O" and "1" the state "-1" occurs. The state "-1" makes possible to realise the T-type standard function by simple way. For the more reduction of the hardware complexity of the realization of this function, the application of a new current-mode gate is proposed. As effect of an application of new multi-input gates are a reduction of a power consumption and reduction of the hardware complexity of the current-mode digital system. The less complexity and power consumption cause the acceleration of the performance of digital circuits.

6

Thermal conductivity of 2D random interfaces

Szecówka M., Domański Z.

Prace Naukowe Instytutu Matematyki i Informatyki Politechniki Częstochowskiej

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2010

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Vol. 9, nr 2

229-234

EN

Heat transfer through dense granular interfaces formed by squares or triangles with randomly assigned thermal conductivities is discussed. The effective thermal conductivities of the interface are found by means of the steady heat flux induced by connection of interface with the external heat source assuring the constant value of boundary temperature. Some statistical properties of effective conductivities are also presented.

7

Nowe opakowania w warzywnictwie

Adamicki F.

Przemysł Spożywczy

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2000

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T. 54, nr 8

10-11

PL

Omówiono rolę i znaczenie dotychczas stosowanych i nowych opakowań używanych w przechowalnictwie, transporcie i handlu detalicznym warzyw świeżych. Rosnące wymagania konsumentów dotyczące wysokiej jakości, higieny i bezpieczeństwa w obrocie i podczas sprzedaży warzyw świeżych i przygotowanych do bezpośredniego spożycia zmuszają do stosowania nowych opakowań. Przedstawiono także nowe sposoby pakowania (MAP, CAP, EMA, APC, opakowania jadalne) świeżych warzyw.

EN

The roles of commercial used and newly developed packaging for storage, transport and marketing of vegetables are described. The increasing demands by consumers for high quality, guaranteed safety and hygiene of fresh vegetables (whole and prepared produce) have an influence on the type of packaging used in the practice. Development in new packaging techniques such as MAP, CAP, EMA, APC - system and edible coatings are also discussed.