The study evaluated the performance of various machine learning methods in predicting tensile strength of microwave post-cured composite tailored for weight-sensitive applications. Using forty six training data pairs from the Box-Behnken design plan, an Adaptive Network-based Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN) were built to predict the optimum tensile strength of polyurethane

In this paper, the problem of minimizing the smoothness index for an assembly line given a fixed cycle time and the number of workstations is studied. This problem which is known as the workload smoothing line balancing problem (WSLBP) is a mixed-integer quadratic programming problem. Until recently, this problem has only been tackled using heuristic approaches. Recently, there have been some attempts

Mobile ad-hoc network (MANET) is an infrastructure-less network of mobile nodes, connected by wireless links. Although mobility is the key characteristic of MANETs, yet the frequent movement of nodes may lead to link failure. This frequent topology change due to evasive mobility is one of the primary reason of Quality of service (QoS) degradation in conventional MANETs. If link failure time of already

The stock market currently remains one of the most difficult systems to model in finance. Hence, it is a challenge to solve stock portfolio allocation wherein an optimal investment strategy must be found for a curated collection of stocks that effectively maximizes return while minimizing the risk involved. Deep reinforcement learning approaches have shown promising results when used to automate portfolio

Automated target recognition systems are increasingly employed in sonar systems to reduce manning and associated challenges. Although passive acoustic target recognition is an exceptionally challenging endeavor especially in shallow water scenarios, it is being used by naval forces of the world by virtue of its inherent advantages compared to the alternatives. In order to address these challenges as

This paper presents the optimal placement and sizing (OPAS) of active power filter (APF) considering photovoltaic distributed generation (PVDG) and nonlinear load to control the harmonics as per IEEE-519 standard limits. For the varying nature of PVDG output, the injection of harmonics into the distribution system is thoroughly investigated by incorporating hourly solar irradiance data. In this paper

In the near future, the power system network may experience severe voltage distortions due to association of renewable energy sources (RES), and the large penetration of power electronic based loads into the microgrid. To protect sensitive loads from these distorted and unbalanced grid conditions, the commonly used dynamic voltage restorer (DVR) requires effective control algorithms. The effective

In this paper, we propose a multi-objective learning approach for online recruiting. Online recruiting and online dating are the most known reciprocal recommendation problems. However, the reciprocal recommendation has gained little attention in the literature due to the lack of public datasets consisting of reciprocal preferences of users in a network. We aim to resolve this shortage in our study

This paper presents the optimization of parameters involved in the application of air assisted water spray on the PV panel surface. The effect of spray cooling on panel performance was examined. The increase of cell temperature, hence a decrease of electrical efficiency, was obtained experimentally for a conventional PV panel. In order to prevent a decrease in efficiency, effective parameters were

Time series data mining has received significant attention over the past decade, and many approaches have focused on classification tasks where the goal is to define the label of a test time series, given labeled training data. Time series classification approaches can be broadly grouped into two categories as instance-based and feature-based methods. Instance-based approaches utilize similarity information

Fabrication of microperforated panel (MPP) using an additive manufacturing (AM) process produced imperfect perforations with an irregular shape, inconsistent size, and rough inner surface (due to burr formation). This imperfect hole condition leads to a significant deviation between measured and modeled acoustic properties. This study aims to introduce the resistance end correction factor (α) for quantifying

Cooperative relaying scheme is identified as an efficient method for improving the reliability and energy efficiency of underwater acoustic sensor networks (UASNs) by exploiting the spatial diversity. Unlike the existing research works, we propose a full-duplex cooperative relaying with NOMA (FD-CR-NOMA) for UASNs. We derive accurate mathematical equations for the calculation of ergodic rate, outage

Turkey attaches great importance to energy diversification to reduce the energy dependence on fossil resources. In this regard, Turkey assigned energy targets by 2023 including 20 GW of installed wind capacity. Yet, despite the good efforts, the current wind installed capacity of 8 GW is far behind the assigned target. This study presents a comprehensive review of wind energy status in Turkey focusing

Emotion recognition using electroencephalogram (EEG) signals is getting more and more attention in recent years. Since the EEG signals are noisy, non-linear and have non-stationary properties, it is a challenging task to develop an intelligent framework that can provide high accuracy for emotion recognition. In this paper, we propose a new model for emotion recognition that will be based on the creation

Most of the previous studies on mobile robot path planning consider the obstacles as polygons. However, the complex shaped obstacles should be considered as curves rather than polygons, since the latter may result in non-optimal paths. Three new algorithms are proposed for finding the shortest path of a mobile robot among curved obstacles: TAD which uses a tangent drawing method, TRAD which uses trapezoidal

This experimental research deals with the characteristic work on the performance, combustion, and exhaust pollutants for unleaded gasoline mixed with n-pentanol in the proportion of 5%, 10%, 15%, and 20% (by vol.) of the total quantity. The trials were performed on a 1-cylinder, 4-stroke, water-cooled, port-fuel injection (PFI) spark-ignition (SI) engine loading an AC active dynamometer so as to scrutinize

A primary task in autonomous driving is to design a control algorithm that presents an effective and yet human-compatible behavior. To this aim, present paper considers the problem of autonomous overtaking under both state and environment constraints with dynamic surrounding vehicles. The solution is formulated based on quadratic programming optimization and is solved in receding horizon fashion. The

Because of the extensive use of AFM in the displacement of nanoparticles, this paper has focused on the modeling and dynamical analysis of cylindrical nanoparticles during 3D-nanomanipulation by AFM probe. Since it is not possible to observe the manipulation process, it is crucial to know the dynamic model of manipulation process. Therefore, the development of dynamic modeling of a nanocylinder with

In this paper, design and analysis of a flexible antenna backed with Frequency Selective Surface (FSS) is presented for wireless body area communications. Textile based compact monopole antenna (50.5 × 38 mm2) is backed with a modified square loop FSS textile based superstrate (120 × 120 mm2), to improve the wearable antenna’s performance in terms of SAR reduction and gain enhancement. Modified square

In this paper, improved finite control set model predictive voltage control (FCS-MPVC) is proposed for the distributed energy resource (DER) in AC islanded microgrid (MG). Typically, AC MGs have two or more power electronic-based DERs, which have the ability to maintain a constant voltage at the point of common coupling (PCC) as well as perform power sharing among the DERs. Though linear controllers

Heatsinks have quasi-antenna behavior in many cases and cause interference both at the system level and at the PCB design level. Therefore, determination or prediction of both resonance frequencies and maximum radiated emission are crucial at any design step. In this paper, as a novelty, in 2–8 GHz band, a model based on deep learning is developed to predict resonance frequencies in parallel plate-fin

In all forms of confidential communication, the most significant element is security. Cryptography can be used to secure the information, but it discloses the presence of covert communication. Hence, steganography was invented; steganography is an art of concealed communication. Steganography is performed by inserting the secret information in a cover media to camouflage the presence of covert communication

Industries tend to manufacture higher quality products with a low cost due to the competitive environmental loop and dynamic customers’ demand. The integration of intelligent manufacturing planning to agricultural operations and products will permit a spike in efficiency of yield, especially in the regions of agriculturally based economies. Though, to gain a vivid exploitation, the old-fashioned agriculture

Content-Centric Networking (CCN) is being established as an emerging Internet architecture that brings efficient data retrieval technology to access the contents with their names. In CCN, the in-network caching capability plays a critical role in the improvement of network performance by reducing the load of content server and increasing the content availability. Thus, the efficiency of the content

The optimal placement and the sizing of various distribution system components have gained extra significance in the recent past as the concepts of smarter distribution systems, distributed generation, and microgrids blossomed. This paper presents two novel techniques for sizing the Distributed Generators (DGs) in a large-sized radial distribution network. The primary strategy is proposed by considering

The recently proposed waveform called universal filtered multicarrier (UFMC) has already managed to get the attention of science world due to its superior features and it has been accepted as one of the foremost fifth generation (5G) waveform contenders. However, due to being a type of multicarrier waveform, the UFMC suffers from the problem of high peak-to-average power ratio (PAPR). In this paper

The exponential increase in the rate of data size is much higher than the increase in the speed of the computer, which has given much focus to search algorithms in the research literature. Finding an item in an ordered dataset is an efficient method in the data processing. However, binary and interpolation algorithms are commonly used to search ordered datasets in many applications. In this paper,

Ultrasound imaging is a largely used medical imaging system as it is safe, non-invasive, and capable of real-time imaging. In ultrasound imaging, different beamforming methods are used to obtain the image of the field of view. The image quality largely depends on the type of beamforming used in ultrasound imaging. To make the ultrasound imaging system portable, beamforming system needs to be implemented

Increasing the output of a processing machine should often be achieved by increasing the machine’s operating speed. Associated with the increasing operating speed are undesirable effects occurring on the machine or process, e.g. vibrations that limit the operating speed. This paper discusses some selected causes for limitations that may occur on processing machines. An already developed approach to

In this study, the potential usage of wastewater bottle strips produced from polyethylene terephthalate (PET) as a reinforcing material for strength properties of cement stabilized clay was investigated. For this purpose; unconfined compression strength tests were conducted to determine the parameters affecting the strength properties of cement stabilized-reinforced clay. Four different ratios of cement

The solar power generation (SPG) prediction is indispensable to establish a reliable and secure power grid. The intelligent and knowledgeable techniques are required to forecast the most nonlinear and volatile SPG due to its dependency on fluctuating weather conditions (solar irradiance and temperature). In this work, an optimized Extreme Learning Machine (ELM) is employed to forecast real-time SPG

Boundary layer flow in the industrial applications such as extrusion processes is attributable to impulsive movement of an extensible moving surface. However, the velocity of the extruded surface may not necessarily be linear. Hence, this study proposes a unique model to investigate the unsteady stagnation point flow in hybrid nanofluid (Al2O3-Cu/H2O) induced by exponentially permeable stretching/shrinking

Topology optimization is recently employed for the design of light-weight manipulator-link that enhances energy-efficiency. However, the optimized topology at one angular-position is non-optimal for others because of dynamic loading. In this work, two approaches are proposed to synthesize ‘a single optimized topology’ that performs best for all angular-positions. The first approach is based on a weighted-density

The amplitude, frequency and phase angle of the grid voltage are essential three components to ensure synchronization for grid interactive inverters. Synchronous reference frame-phase locked loop (SRF-PLL) is widely used to obtain these components. Although the SRF-PLL shows a perfect performance under ideal grid conditions, its performance deteriorates under unbalanced and distorted grid conditions

Friction stir processing (FSP) has been used successfully to yield surface composites that offer good wear resistance and high hardness. In this work, an attempt was made to produce SiC particles incorporated within the surface of an A380 Al alloy using FSP under various processing parameters. The microstructure of processed surface was characterized using optical and SEM. XRD was employed to investigate

The energy absorption behavior of nested tubes under lateral loading conditions was investigated in this study. Nested tubes are considered as an alternative to energy absorption structures used in many industries including automotive, military, and aerospace. Steel tubes with the same wall thickness and different diameters were used in the experiments. First, experiments of single tubes were carried

The maximum power point tracking (MPPT) algorithms aim to provide maximum power for each time even though the environmental condition changes. It is so important to get maximum available power at each time from the wind energy conversion system (WECS) to be able to get back the capital cost of the system in a short while for the investors. In this paper, an MPPT algorithm based on the modified golden

During braking with ABS (Anti-Lock Brake System), low braking initial speed causes to build-up and reduce brake pressure in longer time period due to extending application time of brake pressure and response time of solenoid valve. Also, the decision about speed and acceleration variations of wheel becomes very difficult due to weak speed signals arising from low speed. This results in lower braking

Prestressed concrete girders are prone to the formation of horizontal end cracks during prestress transfer. These cracks propagate and progress extensively in deeper hollow-type pretensioned girders with larger prestressing forces. This study examines the strand-debonding method to eliminate horizontal cracks at the ends of hollow–type pretensioned girders by directly reducing the vertical tensile

T-junction is broadly utilized for phase separation, as it has a notable function as a conduit to distribute fluid, due to its simple design, low maintenance cost and adaptability to offshore industries. The geometrical parameters that influence phase separation make the phase re-distribution unpredictable. Even though the diameter ratio of the T-junction has a prominent effect on phase separation

The paper proposes an unplanned island detection method in a microgrid with micro phasor measurement unit (μPMU). The μPMU extracts certain features, by using multi domain nature of discrete fractional Fourier transform, from measured voltage data and feeds it to a random forest classifier model to make decision of island or fault occurrence. The method was tested on an IEEE 34 node distribution network

This paper investigates the material properties and free vibration characteristics of Stainless Steel (SS) 304 joints reinforced with Al2O3 microparticles fabricated by tungsten inert gas (TIG) welding and laser welding (LW) processes. The influence of Al2O3 microparticle addition on the metallurgical behavior, mechanical properties, and free vibrational characteristics were studied and discussed.