Science topic

# Wolves - Science topic

Any of several large carnivorous mammals of the family CANIDAE that usually hunt in packs.
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Twitter is considered a useful tool for effective tracking and management of disaster-related incidents. However, due to a large number of irrelevant features in textual data, the problem of high dimensionality arises which eventually increases the computational cost and also decreases the classification performance. Thus to handle such type of pro...
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The optimal scheduling problem of integrated energy system (IES) has the characteristics of high-dimensional nonlinearity. Using the traditional Grey Wolf Optimizer (GWO) to solve the problem, it is easy to fall into a local optimum in the process of optimization, resulting in a low-quality scheduling scheme. Aiming at the dispatchability of electr...
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Fault current magnitude in a microgrid depends upon its mode of operation, namely, grid-connected mode or islanded mode. Depending on the type of fault in a given mode, separate protection schemes are generally employed. With the change in microgrid operating mode, the protection scheme needs to be modified which is uneconomical and time inefficien...
Article
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Hybrid renewable energy (HRE) sources have become a popular alternative in isolated and rural locations; because of the increased prices of fossil fuels and their CO2 emissions. This paper investigates the application of recent optimization methods to dedicate the optimal configuration of HRE sources. These HRE sources comprise photovoltaic (PV) pa...
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We propose a BFGS method with Wolfe line searches for unconstrained multiobjective optimization problems. The algorithm is well defined even for general nonconvex problems. Global convergence and R-linear convergence to a Pareto optimal point are established for strongly convex problems. In the local convergence analysis, if the objective functions...
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This paper introduces an innovative and cost-effective multi-generation plant, driven by the central receiver-based concentrated solar systems, to facilitate the desired global green-transition process. The vanadium chlorine thermochemical cycle, which uses hydrogen instead of natural gas in the combustion chamber, is used as an innovative approach...
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Validation of agent-based models is underappreciated in scientific studies even though this process is an important part of ensuring that a model is a reliable research tool. Here we propose modifications to a model validation framework and illustrate this framework with a case study of territorial behavior. In species that defend territories, larg...
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This paper proposes a variant of the Gray Wolf Optimizer (GWO) called the Cross-Dimensional Coordination Gray Wolf Optimizer (CDCGWO), which utilizes a novel learning technique in which all prior best knowledge is gained by candid solutions (wolves) is used to update the best solution (prey positions). This method maintains the wolf's diversity, pr...
Article
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Accurate photovoltaic (PV) power prediction plays an increasingly crucial role to maintain the safety and reliability of power grid operation. However, the fluctuation and non‐stationarity of PV power make it a challenging task to optimize the accurate results. This paper presents a novel prediction model which is the combination of Hodrick–Prescot...
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This paper proposes a modified quasi-opposition-based grey wolf optimization (mQOGWO) method to solve complex constrained optimization problems. The effectiveness of mQOGWO is examined on (i) 23 mathematical benchmark functions with different dimensions and (ii) four practical complex constrained electrical problems that include economic dispatch o...
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The efficiency of a photovoltaic (PV) system under partial shading conditions (PSCs) is primarily determined by how the PV panels are connected to the load. Various PV system architectures have been developed to improve power processing capability and thus power conversion efficiency. In this article, a central and string architecture are considere...
Preprint
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We settle the complexities of the maximum-cardinality bipartite matching problem (BMM) up to poly-logarithmic factors in five models of computation: the two-party communication, AND query, OR query, XOR query, and quantum edge query models. Our results answer open problems that have been raised repeatedly since at least three decades ago [Hajnal, M...
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Auto-grading of short answer questions is considered a challenging problem in the processing of natural language. It requires a system to comprehend the free text answers to automatically assign a grade for a student answer compared to one or more model answers. This paper suggests an optimized deep learning model for grading short-answer questions...
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In this paper, I argue that accounts of the normative basis of morality face the following puzzle, drawing on a case found in Susan Wolf’s influential discussion of conflicts between the moral and personal points of view. On the one hand, morality appears to constitute an independent point of view that can intelligibly conflict with, and can concei...
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Conservation management for a species generally rests on intraspecific units, while identification of their geographic boundaries is necessary for the implementation. Intraspecific units can be discriminated using population genetic methods, yet an analytical approach is still lacking for detecting their geographic boundaries. Here, based on landsc...
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Solar photovoltaic technology has become eminent in the world because of its clean and abundant nature and can be effectively used for water pumping applications. A maximum power point tracking method is indispensable to achieve the best benefit from photovoltaic systems. Conventional maximum power tracking methods become successful only under unif...
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Analyses of temporal partitioning and overlaps in activity rhythms are pivotal to shed light on interspecific coexistence between similar species or prey and predators. In this work, we assessednthe overlap of activity rhythms between the Eurasian beaver Castor fiber and its potential competitors and predators through camera trapping in an area in...
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Historical information is useful to set conservation baselines and, in turn, to inform the legal status of species and habitats. The conservation value of historic data has been acknowledged in international and national conservation laws, such as in the case of the implementation of the European Habitats Directive of 1992, and the guiding criteria...
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Liquefaction has caused many catastrophes during earthquakes in the past. When an earthquake is occurring, saturated granular soils may be subjected to the liquefaction phenomenon that can result in significant hazards. Therefore, a valid and reliable prediction of soil liquefaction potential is of high importance, especially when designing civil e...
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Annual streamflow prediction is of great significance to the sustainable utilization of water resources, and predicting it accurately is challenging due to changes in streamflow have strong nonlinearity and uncertainty. To improve the prediction accuracy of annual streamflow, this study proposes a new hybrid prediction model based on extracting inf...
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The arrival of a new carnivore can have important effects on local communities. While several effects of introduced alien species have been well documented, few studies have reported the ecological consequences of an expanding native species. Golden jackals (Canis aureus) are rapidly expanding their distribution in Europe, far beyond their historic...
Article
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Hyperspectral image (HI) analysis is becoming popular in remote sensing applications due to its high spectral resolution along with high spatial resolution compared to a Multispectral image. Classification of pixel vectors in a hyperspectral image (HI) to their respective classes is challenging. HI classification is an elementary task for land cove...
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Commenting the 11-year sunspot cycle, Wolf (1859, MNRAS 19, 85–86) conjectured that “the variations of spot-frequency depend on the influences of Venus, Earth, Jupiter, and Saturn.” The high synchronization of our planetary system is already nicely revealed by the fact that the ratios of the planetary orbital radii are closely related to each other...
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We study the tight upper bound of the transient mean waiting time in the classical GI/GI/1 queue over candidate interarrival-time distributions with finite support, given the first two moments of the interarrival time and the full service-time distribution. We formulate the problem as a non-convex nonlinear program. We derive the gradient of the tr...
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Canids are believed to be clever animals applying sophisticated social and hunting strategies. However, current studies under natural conditions do not indicate higher cognitive requirements beyond associative learning, but likely also underestimate them as applied methods are still in a fledgling stage. Experimental studies on captive canids — alm...
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Many works have employed Machine Learning (ML) techniques in the detection of Diabetic Retinopathy (DR), a disease that affects the human eye. However, the accuracy of most DR detection methods still need improvement. Gray Wolf Optimization-Extreme Learning Machine (GWO-ELM) is one of the most popular ML algorithms, and can be considered as an accu...
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The stock index is a barometer of the market economy. However, there are few reliable methods to forecast the stock market accurately and steadily owing to the complexity and non-linearity of the stock market. In this paper, a novel hybrid forecasting system is established based on the singular spectrum analysis (SSA), a novel multi-features extrac...
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Communication via email has expanded dramatically in recent decades due to its cost-effectiveness, convenience, speed, and utility for a variety of contexts, including social, scientific, cultural, political, authentication, and advertising applications. Spam is an email sent to a large number of individuals or organizations without the recipient's...
Article
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To solve the problem in traditional technology of the time lag in determining formation information based on drilling time and rock physical characteristics, which leads to the failure of the guided drilling tool, a Levy flight optimized gray wolf support vector machine (LGWO-SVM) shale gas geosteering identification method based on gamma spectrum...
Article
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Two geological steering models, the particle swarm support vector machine (PSO-SVM) and the gray wolf support vector machine (GWO–SVM), were analyzed to determine the models’ optimal global parameters. The fitness function was used to compare and analyze the models, while the original data and feature reconstruction data were used to simulate and a...
Article
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Renewable resources can help reduce carbon emissions, but their inconsistency causes inconsistent energy generation, mandating the introduction of a battery bank to overcome the demand‐supply gap. The integration of renewables for electrical supply systems in rural regions has received much attention, as has the hybrid energy system with storage fo...
Article
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Circular-bored tunnel (CBTT) machines are used as an alternative to drill and for blasting in rock and conventional "hand mining" in soil. The penetration rate (PR) prediction is a difficult issue plus the related analysis between CBTT and rock mass. Circular tunnels are high proposed for general projects. Experimental and analytical models in anal...
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Metal bending tube is widely used in industry while its forming defects extremely affect the bending quality. Among all defects, the bending-inside wrinkling caused by the non-uniform compressive stress is a zero-tolerated defect, particularly when the tube is for transportation. However, the current wrinkling detection approach, suffering from the...
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Herein, by using 3D printing technology and data‐driven surrogate model‐assisted optimization method, design of a ceramic material‐based nonuniform nonplanar microstrip filter is taken into the consideration in a computationally efficient and low‐cost manner. For this aim, 3D EM model of the proposed design had been used for generating training and...
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Specimens of the pentastomid parasite, Linguatula serrata, have been reported from several animals in Romania, including some domestic dogs translocated to other parts of Europe. In this study, gray wolves (Canis lupus, n = 80), golden jackals (C. aureus, n = 115), red foxes (Vulpes vulpes, n = 236), and roe deer (Capreolus capreolus, n = 1) were e...
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Organismal traits are presumed to be well suited for performance in the tasks required for survival, growth, and reproduction. Major injuries to such traits should therefore compromise performance and prevent success in the natural world; yet some injured animals can survive for long periods of time and contribute to future generations. We here exa...
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To predict the thermal error of the motorized spindle during machining and improve the accuracy of the error compensation system of the motorized spindle, a method for predicting the thermal error of the motorized spindle under different preload forces is proposed. Based on the theory of Palmgren, the relationship between the preload force and the...
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Nowadays, concretes blended with pozzolanic additives such as fly ash (FA), silica fume (SF), slag, etc., are often used in construction practices. The utilization of pozzolanic additives and industrial by-products in concrete and grouting materials has an important role in reducing the Portland cement usage, the CO2 emissions, and disposal issues....
Preprint
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A wolf pack with black-coated individuals was spotted for the first time in the Sainte-Baume Regional Park, Provence, France. Camera trapping (CT) was used from August to December 2021 to characterize and compare the phenotypes of grey and black wolves. We used a detection dog to rapidly collect wolf-scats and allow genotyping.
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A novel meta-heuristic algorithm, Egret Swarm Optimization Algorithm (ESOA), is proposed in this paper, which is inspired by two egret species' (Great Egret and Snowy Egret) hunting behavior. ESOA consists of three primary components: Sit-And-Wait Strategy, Aggressive Strategy as well as Discriminant Conditions. The performance of ESOA on 36 benchm...
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Nowadays, optimal value creation by smart awareness in the composition of enterprise business services in an architecture-centric way in industrial internet of things (IIoT) manufacturing is a leading trend. In this research, as the first innovation, integer linear optimization modeling of enterprise service composition (ESC) as an NP-hard problem...
Article
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Deep learning is the most dominant area to perform the complex challenging tasks such as image classification and recognition. Earlier researchers have been proposed various convolution neural network (CNN) with different architectures to improve the performance accuracy for the classification and recognition of images. However, the fine-tuning of...
Preprint
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In this paper, we give a cubic Goldreich-Levin algorithm which makes polynomially-many queries to a function $f \colon \mathbb F_p^n \to \mathbb C$ and produces a decomposition of $f$ as a sum of cubic phases and a small error term. This is a natural higher-order generalization of the classical Goldreich-Levin algorithm. The classical (linear) Gold...
Preprint
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A wolf pack with black-coated individuals was spotted for the first time in the Sainte-Baume Regional Park, Provence, France. Camera trapping was used between August to December 2021 to characterize and compare the phenotypes of gray and black wolves. We used a detection dog to rapidly collect wolf-scats and allow genotyping. Potential hybridizatio...
Article
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Renewable generation uncertainty, dynamic load change, and system parameter variation play a significant role in the performance degradation of non-linear multi-microgrid (MMG) systems. As a result, intelligent control becomes the need of the hour for assisting superlative attribute-based consistent electric power. The application of marine predato...
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The grey wolf (Canis lupus) is one of the most challenging species to conserve in our modern and crowded world. Due to various factors, most European wolf populations are currently growing. In Hungary, numbers have increased since the 2000s. Although spontaneous recolonisation from Slovakia is considered to be the most likely mechanism by the major...
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Does the return of large carnivores affect voting behavior? We study this question through the lens of wolf attacks on livestock. Sustained environmental conservation has allowed the wolf ( Canis lupus) to make an impressive and unforeseen comeback across Central Europe in recent years. While lauded by conservationists, local residents often see th...
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This essay responds to an earlier article by Yossi Kuperwasser concerning Lone Wolf Behavior
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Nowadays, Internet of Things (IoT) devices are ubiquitous and their number is growing rapidly. These devices produce massive amount of data which need to be efficiently processed. Since most of the IoT devices are resource constrained in terms of computational capability and power resources, they have to offload their computation jobs to more power...
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Although most prey have multiple predator species, few studies have quantified how prey respond to the temporal niches of multiple predators which pose different levels of danger. For example, intraspecific variation in diel activity allows white-tailed deer (Odocoileus virginianus) to reduce fawn activity overlap with coyotes (Canis latrans) but f...
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The quality of the photovoltaic (PV) cell model impacts many simulation studies for PV systems, such as maximum power point tracking and other assessments. Moreover, due to limited information found in the datasheets of the PV cells, several parameters of the model are unavailable. Thus, this paper introduces a novel approach using a hybrid Particl...
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Human dimensions research has proposed a multitude of variables impacting the viability of wildlife populations. Extant approaches to systematizing these variables have mostly focused on human relations to only one animal species or taxon and are largely descriptive, rather than explanatory. In this study, we provide a three-layer framework for und...
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«И побѣди радимичѣ Волъчии Хвостъ»: семантико-мотиваційна реконструкція неофіційного антропоніма. 1 // Мовознавство. 2022. № 2. С. 22-40. Стаття присвячена реконструкції референтних зв’язків, денотативних і конотативних компонентів змісту, функціонального призначення, мотиваційної основи наявного в літописних статтях *984 і *1016 рр. антропоніма Во...
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Articles Review Article 1 – “Machine Learning Techniques for Anomaly Detection in Smart Healthcare” Article 2 – “Hybrid Framework Combining Deep Learning and Grey Wolf Optimizer for Anomaly Detection in IoT-Enabled Systems” Article 3 – “Gaussian Distribution-Based Machine Learning Scheme for Anomaly Detection in Healthcare Sensor Cloud” Articl...
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Research on the evolution of dog foraging and diet has largely focused on scavenging during their initial domestication and genetic adaptations to starch-rich food environments following the advent of agriculture. The Siberian archaeological record evidences other critical shifts in dog foraging and diet that likely characterize Holocene dogs globa...
Thesis
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Praca licencjacka pt. „Kreacja świata we współczesnej baśni w oparciu o stare legendy, mitologie i wierzenia na przykładzie filmu Tomma Moore’a »Sekrety morza« (2014)” poświęcona jest analizie świata przedstawionego w irlandzkiej animacji fantastycznej „Sekrety morza” widzianego poprzez pryzmat celtyckich (głownie irlandzkich) mitów, postaci mitolo...
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In this paper, a modified version of the Multi-objective Grey Wolf Optimizer (MGWO), known as linked-based GWO (LMGWO), is proposed for the Appliances Energy Scheduling Problem (AESP). The proposed LMGWO is utilized by combining the MGWO searching mechanism with a novel strategy, called neighbourhood selection strategy, to improve local exploitatio...
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The use of keratinized tissues (e.g., hair, claws) to investigate physiological effects of environmental and anthropogenic stressors in free-ranging wildlife populations has increased because these tissues retain steroid hormones during growth and are relatively easy to collect and store in the field. We measured reproductive and stress-related ste...
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In this paper, a multi-objective mixed-integer nonlinear programming model for transmission congestion management through optimal placement and sizing of thyristor-controlled series capacitor (TCSC) devices and electrical energy storages (EESs) is presented. This problem is modeled as a two-objective optimization problem, where objective functions...
Article
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An accurate battery model is of great importance for battery state estimation. This study considers the parameter identification of a fractional-order model (FOM) of the battery, which can more realistically describe the reaction process of the cell and provide more precise predictions. Firstly, an improved sparrow search algorithm combined with th...