Miracle-dz/UniFAR-FTUs huggingface dataset:
A Hybrid Machine Learning Model for Emotion Recognition From Speech Signals

The emotion recognition is the addressed communication that has been gaining more interest through the public. Speech emotion recognition has become a region of interest in the field of Human-Computer Interaction(HCI). Speech recognition (SR) is the technology that is connected with the methods and fields to identify the speech from the speech signals. Different technological; developments in the area of the SPMs (Signal Processing Methods), the recognition of the expression has become probable. Though there has been a massive growth in the field of voice recognition, there are various voice yields that have been implemented like Amazon Alex, Google, Home, and Apple Homepage that purposes basically on voice-based commands. SER (Speech emotion recognition) is a research area issue that tried to gather sentiments from the speech signals. Different surveys stated that the development in sentiment detection made a lot of the networks simpler and the world an appropriate location for living. Emotion recognition is a challenging issue so that the emotion may vary that depends on the situation, culture, person face-response that leads to ambiguous results; speech quantity is not adequate to precisely infer the emotion; lack of speech database in many languages. Moreover, SER has been used in various applications like interaction with robots, bank services, digital games, and so forth. In existing research, different speech emotions like Happy, Anger, and Sad, and were detected or recognized through the feature vectors. The various feature sets used were removed from the acoustic signals named such as Voice Pitch, MFCC (Mel Frequency cepstral coefficients), and STM (Short Term Energy). The various techniques have developed on the feature sets, and the influence of the increasing amount of the feature sets provide for the classifier. It presents the observation of the performance classification for India, Hindi, and Marathi speech. Moreover, the accuracy of the music or normal vocal-speech was 80%. In research work has designed an SER (Speech Emotion Recognition) model depends on the GFCC algorithm to citation the feature sets based on the DCT and High pass Filter method. After that, the ALO algorithm is using to select the instances with the help of coverage and Fitness function. The novel MSVM algorithm is using to classify the emotion-based on the feature set and evaluate the performance metric such as accuracy rate etc. In proposed work using the MATLAB simulation tool and evaluates the maximum accuracy rate and mitigate the error rates as compared with the existing parameters.
Image Processing based Number Plate Detection Using LabVIEW

License plate detection along with the identification of the state and the district of the given vehicle images has been performed, where the image processing part is done in LabVIEW software. The binarization of the image is done by Otsu's thresholding technique due to its success rate and the simplest of calculations involved in this technique. Contour detection helps us to locate the license plate whose coordinates are then compared with the original image. After which the license plate extraction is done followed by segmentation and character classification. The processed information is then sent to an excel sheet which classifies the cars based on the district they are from and is later sent to the concerned department for the necessary action. The information is then sent as an SMS to a mobile number from the excel sheet.
Impact of consumer attitudes on online advertising: hotel industry in Sri Lanka

Businesses have recognized that the Internet is the medium channel for promoting online advertising to consumers around the world. The attitude of end users plays an important role in creating effective online advertising. Hence, the objective of this study is to examine the key factors influencing consumers� attitude towards online advertising in hotel businesses in Sri Lanka. An online survey was conducted to collect data from a sample of 150 people living in the Kandy district. The study revealed that key determinants such as information, entertainment, reliability, economy and value have a positive and significant impact on consumers' attitude towards online advertising in the hotel industry in Sri Lanka. The regression model was significant at 0.001 and the adjusted R2 of the fitted model was 0.642, indicating that 64.2% of the variance in online advertising is explained by independent variables. This research contributes to the existing knowledge by providing empirical support to explain consumers' attitude towards online advertising in hotel businesses in Sri Lanka, while adding value to various stakeholders. The fitted model and factors shall be applied to enhance the attitude of consumers in different domains in Sri Lanka.
Polysilicon Grating Switches for LiDAR

Novel polysilicon grating switches are demonstrated, consisting of an optical grating suspended on a moving platform above a waveguide. Electrostatic attraction pulls the grating into close proximity to the waveguide, ejecting light out of the waveguide plane. The switches move only 0.9 to 1.4 <inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula>, and have MHz mechanical resonant frequencies, making them robust to mechanical vibration and shock. These switches enable a new mode of LiDAR imaging; by creating a focal plane array of switches, and coupling it with a standard camera lens, the LiDAR beam can be scanned across the scene with high speed and arbitrary pattern. Both time of flight and coherent ranging techniques are compatible with this approach. We have demonstrated a <inline-formula> <tex-math notation="LaTeX">$10\times 10$ </tex-math></inline-formula> pixel array of these switches in a LiDAR system, collecting 3D raging data at up to 15 meters away and 5 frames per second, over a 1 degree field of view with 0.1 degree resolution. Additionally, we have shown the switches to be robust, efficient, and reliable, actuating at 15 Volts, with speeds faster than <inline-formula> <tex-math notation="LaTeX">$4~\mu \text{s}$ </tex-math></inline-formula>, for over 9 billion cycles without degradation or failure. [2020-0132]
Security Facets of Cyber Physical System

Cyber-Physical System (CPS) is the new digital system generation, where it is integrated with a physical, computational element and communicational element. The real-time applications of CPS are leveraged in medical, transportation, power grid, government, industries, and other similar areas. These systems require diverse stages of security and protection on the susceptive data. Through the expanding development of cyber-physical systems (CPSs), novel safety encounters are developed. In this research, author pays significant research attention to enlarge the safety of cyber physical systems and further the analysis is done on the prerequisite of safety in CPS based on bouts in CPS captivating interest in the description of the prevailing safety constraints and the tasks to offer the required safety.
Sentiment Analysis using Cuckoo Search and Computational Intelligence

Sentiment analysis (SA) is a computational study focusing on analyzing an individual’s attitude and beliefs based on textual information. Presently, it is considered to be the most popular field in business analytics reflecting customer’s opinions by reviewing feedback on their products This unstructured data is collected and pre-processed to transform it into a usable form which involves removal of normalization, punctuation removal, and stop-word removal. It is followed by the tokenization of the text reflecting the feature extraction stage in the proposed methodology. Nature-inspired Cuckoo Search (CS) is implemented to optimize the feature data that is fed to Feed Forward Back Propagation Neural Network (FFBPNN) for classification of sentiment data to reflect positive, negative, and neutral reviews The performance of the proposed SA work is evaluated in terms of precision, recall, f-measure, and classification accuracy.
The effects of dual modification with ultrasound and annealing treatments on the properties and glycemic index of the Thai glutinous rice cultivar ‘RD6’

Glutinous rice is a popular food and an important source of carbohydrate, especially in the North and North-Eastern areas of Thailand. However, glutinous rice can be considered unhealthy because it has a high glycemic index (GI=75-92), which makes it unsuitable for people suffering with type II diabetes. Therefore, a method of processing glutinous rice that reduces its GI could make it a more acceptable food and more suitable for diabetics. Ultrasound, which applies mechanical waves with a frequency above 16 kHz, and annealing (ANN), which is a hydrothermal treatment, have both been successfully used to modify starch. Ultrasound impacts starch granules and can change molecular structure and properties. ANN can reduce starch hydrolysis and improve its relative crystallinity, which affected its thermal properties. Therefore, the combination of ultrasound and ANN treatments were investigated to determine their effects on the glycemic index of the Thai glutinous rice cultivar ‘RD6’. Samples of ‘RD6’ were treated with ultrasound, at 100% amplitude, for 15 min followed by storage at 4 o C for 24 h and then exposed to ANN at 45, 50 or 55 o C. The samples were then evaluated for their pasting properties (pasting temperature, pasting viscosity, breakdown, final viscosity and setback), gelatinization properties, starch hydrolysis and glycemic index. All the pasting properties of the ‘RD6’ samples that treated with ultrasound and ultrasound plus ANN had significantly (p<0.05) increased levels of all compared to the untreated samples (control). These treatments also significantly (p<0.05) increased onset temperature and gelatinization enthalpy, particularly the ANN at the higher temperatures (50 and 55 o C). In addition, ultrasound plus ANN significantly (p<0.05) decreased starch hydrolysis and promoted a decrease in their glycemic index from (76.78-77.62) as compared to the control (84.14) and ultrasound alone (80.71), but none of these treatments reduced glycemic index to below 70, which is ranked as high.
UAV Path-Following Strategy for Crossing Narrow Passages

Integration of unmanned aerial vehicles in different tasks and services rely on their ability to deliberate and plan solutions to navigate an environment, which is often subject to geometric constraints that frequently cannot be tackled with classic obstacle avoidance. Therefore, we propose a smooth, closed path that ensures safe passage through challenging locations while respecting a robot’s physical limitations. A novel approach for proposing control points in Bèzier curve path planning is outlined and a multi-layer control scheme is presented and validated in simulation and experiments with a varying number of robots and restrictions in motion.
Simplified Analysis of Multichannel Semiconductor High Power Converter

Recent increasing of power consuming in electric ship propulsion exceed the capability of modern semiconductor devices. Propulsion drive converter must be at least 20 MW with tough voltage limitation to explore and use Arctic region. This paper is describing alternative simplified approach to analyze multichannel power converter which is represented by MISO system with similar input channels. Described approach limit the time constants of single channel in converter and external load circuit. This restriction allow reducing rank of system to equivalent with single input channel. In common power converters time constants is hard to split up but in low frequency high power propulsion drives this approach can be used. Specific object of control and analysis is multichannel current stabilizer on inductive load.
A Uni ̄ed Framework for Monetary Theory and Policy Analysis¤

Search-theoretic models of monetary exchange are based on explicit descriptions of the frictions that make money essential. However, tractable versions usually have strong assumptions that make them ill-suited for discussing some policy questions, especially those concerning changes in the money supply. Hence most policy analysis uses reduced-form models. We propose a framework that attempts to bridge this gap: it is based explicitly on microeconomic frictions, but allows for interesting macroeconomic policy analyses. At the same time, the model is analytically tractable and amenable to quantitative analysis. ¤First version: May 2000. Many people provided extremely helpful input to this project, including S.B. Aruoba, A. Berentsen, V.V. Chari, L. Christiano, N. Kocherlakota, G. Rocheteau, S. Shi and N. Wallace. Financial support from the C.V. Starr Center for Applied Economics at NYU, STICERD at the LSE, the NSF, and the Federal Reserve Bank of Cleveland is acknowledged. The usual disclaimer applies. \The matching models are without doubt ingenious and beautiful. But it is quite hard to integrate them with the rest of macroeconomic theory { not least because they jettison the basic tool of our trade, competitive markets. " Kiyotaki and Moore (2001)
Comparative study of biosorption of Cu+2, Ni+2, Cd+2, Zn+2 and Co+2 ions on the Pleurotus mutilus biomass

Abstract : In this study the biomass Pleurotus mutilus was used for the biosorption of Cu 2+ , Ni 2+ , Cd 2+ , Zn +2 and Co +2 ions. The effect of different parameters such as contact time, adsorbate concentration, pH of the medium and temperature were investigated. The sorption capacities were in the order of Cd 2+ > Zn +2 > Co +2 >Cu 2+ > Ni 2+ . This order can be explained by their different values of affinities respectively. In order to prediction of the rate controlling step(external or internal mass transfer) , Boyd model was used in all case. Results showed that the external mass transfer is the rate controlling step. Different thermodynamic parameters such as enthalpy and entropy and change in standard free energy have also been evaluated and it has been found that the reaction was spontaneous and exothermic in nature. The Freundlich, Langmuir, Temkin and Dubinin-Raduskuvich adsorption models were used for the mathematical description of the biosorption equilibrium.
Fabry–Pérot-Based Compound All-Dielectric Huygens’ Structure for Circularly Polarized Millimeter-Wave Beamforming

An all-dielectric Fabry–Pérot compound Huygens’ structure is proposed for beam-forming at the millimeter-wave (mm-wave) band for circularly polarized (CP) waves. The proposed structure is based on a symmetric unit cell in the plane of the structure, which allows for CP wave transmission, and is demonstrated in the near field of a 60 GHz right-hand CP slot array antenna. Full-wave demonstration of a uniform structure shows a negligible effect on the reflection and radiation of the antenna from 59 to 62 GHz. Full-wave simulations were further used to demonstrate a phase-gradient structure for beam-steering from 59 to 61 GHz. Finally, a difference-pattern structure was fabricated and experimentally demonstrated for operation from 61 to 62 GHz, exhibiting low reflection and good axial ratio (AR) performance across the bandwidth.
Evaluation of Information Retrieval Performance Metrics using Real Estate Ontology

With an ever-increasing data over the internet, efficient information retrieval of data for its users has always been on stake. The issue is deeper when it comes to e-governance based real estate scenario, where there is a lack of interoperability found in buying and selling of property formats and loads of miscellaneous legal terminology that fetches inappropriate legal documentation for the users. Hence in today's Semantic web scenario, a Real estate ontology has been proposed under the Real Estate Information Retrieval Model and the model is evaluated by applying various information retrieval measures. This paper shows the implementation and analysis of various popular information retrieval metrics, be it a set retrieval or rank retrieval that can be used for performance evaluation of web retrieval of data. The proposed system depicts better results in almost all the metrics as compared to the initial user query set.
Generalized Small-Signal Averaged Switch Model Analysis of a WBG-based Interleaved DC/DC Buck Converter for Electric Vehicle Drivetrains

To achieve a high-performance index and accurate controllability of power electronics converters (PEC), generalized small-signal analysis of the closed-loop power electronics converters is a key aspect. This article presents a detailed generalized small-signal averaged switch model (GSSASM) of a Wide Bandgap (WBG)-based Interleaved DC/DC Buck converter (IBC) for electric vehicle (EV) drivetrains to better understand the circuit characteristics, performance, stability and control systems. The derived GSSASM considers the power electronics device (e.g., switch & diode) and passive components (inductor, capacitor and internal resistance of input source), which can result in an accurate mathematical model representing the real-time (RT) system. The proposed model can be utilized for any number of phases in the IBC systems. Furthermore, a field-programmable gate array-based (FPGA) programming board of dSPACE MicroLabBox, is used to validate the proper control compensators towards high dynamic performance in the Real-Time Workshop (RTW)-system. Finally, the performance of the proposed mathematical model is verified with a 30-kW SiC-based IBC prototype in both transient and steady-state conditions, respectively.
Multiaperture Focusing for Spaceborne Transmitter/Ground-Based Receiver Bistatic SAR

The article proposes a methodology to perform azimuth focusing of spaceborne transmitter-stationary receiver bistatic synthetic aperture radar data across multiple along-track apertures to increase azimuth resolution. The procedure uses as input several azimuth apertures (continuous groups of range compressed pulses) from one or more satellite bursts and comprises the following stages: antenna pattern compensation, slow time resampling, reconstruction of missing azimuth samples between neighboring sets of pulses using an autoregressive (AR) model and back-projection focusing of the resulting multiaperture range image. A novel, highly efficient method is proposed to estimate the optimal order for the AR model. It differs from the traditional approach that uses the Akaike Information Criterion to directly estimate the order because the proposed method estimates the order indirectly by detecting the number of targets using principle component analysis. Spatial smoothing is used to obtain a full rank covariance matrix, whose eigenvalues are then analyzed using minimum description length. The optimal order is an integer multiple of the number of targets, which depends on signal-to-noise ratio. The approach is evaluated with real bistatic data acquired over an area of Bucharest city, Romania.
Destructive and Useful Insects, 5th edition

“The more things change, the more they stay the same. ” In its fifth edition, Destructive and Useful Insects represents the return of a classic. In the preface to this revision, the Metcalfs express their desire to remain true to the purpose of the first edition: “a text for beginning students in entomology and also as a guide or reference book for practical farmers, gardeners, fruit growers, farm advisors, physicians, and general readers. ” Previous editions have found acceptance worldwide, especially as reference books.
UAV-deployment for city-wide area coverage and computation of optimal response trajectories

The selection of the UAV-dispatching stations within the city’s border is amongst the topics addressed in this article. Under the assumption of a concave planar city-area, a constrained minimization problem is formulated, which provides a set of near-optimum UAV-locations. Following this selection, and given the capacity of the on-board energy and the tetrahedralized-based decomposition of the concave hull of the allowable 3D-space that the UAV’s can fly, an A*- algorithm optimized by an iterative procedure relying on ray casting is provided to compute the boundary of the UAV’s reachable space. At the end, this article provides the necessary on-board energy so that every point within the metropolitan area can be reached by a certain number of UAVs.
Offshore wind farm layout optimization considering wake effects

With the serious concern for environmental problems, the exploitation of renewable energies is becoming a need and no longer a choice, offshore wind energy is one of the trends in the renewable energy market. The exploitation of this energy demands important investment costs that's why optimizing the wind farm layout is primordial to make a cost effectiveness during the lifetime of the park. Otherwise, minimizing the Levelized Cost Of Energy (LCOE) is the key to have the tradeoff between wind farm cost and the annual energy delivered to the terrestrial network. For a realistic framework, the wind farm losses must take into account the wake losses between turbines so a calculation tool of wake effect is developed in this paper.
Data Aggregation Algorithms in IoT: An Organized Evaluation of The Literature

IoT is an innovative idea in technology and communication, and by a good data communication network the data receiving and sending is possible. There are few challenges faced by IoT as there are restricted hardware and communicational functioning ability as well as small scopes. As a result, essential limitations in the productivity of accumulation, broadcast, communication between the nodes, and, very importantly, degrading its routing performance are all caused by these inherent challenges. Seeing these situations, data aggregation (DA) and broadcast methods in these networks are planned more logically to handle the problem of reduced time and unsteady communications between the nodes. DA has a significant part in the IoT; thus, its important mechanism has been analyzed by a systematic and comprehensive study. So, this survey evaluates the DA approached methodically. Three main groups are categorized by the DA mechanism, which are clustering, central, and tree. And, each class contains a detailed comparison of essential techniques which brings a reference for more studies.
Cramér-Rao Bounds for Direction Estimation in the Presence of Circular and Noncirular Signals

In direction finding, the use of noncircularity of signals arriving at a sensor array can allow us to improve estimation performance. It will be more realistic, rather than the assumption of all noncircular sources, to consider some sources transmitting circular signals. In the presence of both circular and noncircular signals, this paper presents the deterministic Cramér-Rao bound (CRB) of direction estimation. The derivation of the CRB is quite general so that the bounds with unknown signal structures and with known waveforms can be readily obtained from it. Moreover, we show that the more information on signal structures is available the less the CRB is. And we present general conditions under which the CRBs for the direction parameters obtained from different Fisher information matrices are equal. Based on these basic theoretical results, the bounds with different information are analytically compared. Numerical results confirm the theoretical results.