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In an era where localization is increasingly vital for daily activities, determining an individual's location and providing suggestions is crucial for successful navigation. Central to our method is the concept of visibility areas, defined as spaces from which a landmark is at least partially visible. We tessellate space into a grid and use raycasting to determine these visibility areas. Visibility areas are further subdivided into sub‐spaces, each representing a unique set of visible landmarks. To efficiently manage and query these sub‐spaces, we create a tree of options for each landmark and merge them into one compact multitree. This structure represents a hierarchical composition of sub‐spaces and enhances query efficiency while storing each sub‐space only once in the memory. The multitree is designed to support the rapid identification of sub‐spaces based on observed landmarks, resulting in efficient localization within the environment is presented to calculating the optimal localization point in a visibility area based on suggested visible landmarks. The paper concludes with a discussion of the approach targeting indoor localization but highlights also its potential for further research and some limitations. [ABSTRACT FROM AUTHOR]

The Camellia sinensis (L.) Kuntze agroforestry system has been a dominant driver of land transformation for over a century. However, most previous studies have not captured the dynamics of tea plantations since their inception. To address this research gap, this study investigates 150 years (1876 to 2023) of tea area dynamics and two decades (2001–2022) of tree loss in the Bengal-Dooars region (Jalpaiguri and Alipurduar districts). Various data sources were employed, including Sentinel-2A imagery (10 m), early twentieth century topographic maps at a 1:50,000 scale, and historical records from the British colonial period. Results revealed that the tea area expanded from 331 to 95,800 ha (a 70% increase) during the study period. The 1-km grid-wise spatial analysis indicated that approximately 70% of the increase was attributed to the 60–90% and > 90% grid categories, signifying the expansion of large tea estates. Most tea gardens (TG) are sustained with trees, which can significantly contribute to carbon stock. Tree loss within and outside TG for 2001–2022 was analyzed using annual tree loss data at 30 m from the Global Forest Watch (GFW) platform. Between 2001 and 2022, about 52.7% of tree loss was attributed to TG, although tea covers only 15.3% of the geographic area of the study region. Our findings highlight the historical expansion of tea plantations and their impact on natural land cover. We suggest that future studies address the mean age of TG along with tree fractions for improved carbon estimates. [ABSTRACT FROM AUTHOR]

Electric vehicles (EVs) are becoming increasingly popular as an efficient transportation solution but they also present unique challenges for energy management. Bi-directional charging (BDC) is a solution that allows EVs to not only consume energy from the grid but also supply energy back to the grid. This facilitates vehicle-to-load (V2L) integration, where EVs can act as mobile power sources for homes, buildings, and the grid. V2L enables better energy management by utilizing EVs as a flexible resource to balance grid demand and supply in the proposed system. This is achieved through intelligent coordination between the EVs, charging stations, and the grid, using smart meters and communication networks. Integration of BDC and V2L also enables EVs to provide backup power during grid outages, reduce the need for costly grid infrastructure, and support renewable energy integration. BDC with V2L integration is a promising approach for optimal energy management in EVs and can play a significant role in the future of sustainable transportation and energy systems. The proposed model reached 95.13% charging efficiency, 95.03% energy management, 95.69% power rating, 96.28% voltage support and 87.99% temperature management. [ABSTRACT FROM AUTHOR]

The article focuses on the use of Manhattan's grid in Colson Whitehead's "Zone One" as a symbol of control and governance. Topics include the grid's role in reinforcing social and political systems, its connection to the architectural structure of the city. The article also explores the grid's function as a mechanism of bureaucratic control, and the ethical implications of its use in governance, particularly in relation to the novel's depiction of zombie extermination.

Bidirectional DC–DC converters play a crucial role in enabling the transfer of energy between low-voltage and high-voltage sides, a fundamental requirement in applications like vehicle-to-grid and grid-to-vehicle scenarios. The motivation behind the application of common ground converters is the quest for enhanced reliability and safety while also seeking to prevent electromagnetic interferences and address the issue of d v d t between the input and output sides. This paper introduces an enhanced SEPIC converter with a common ground configuration, incorporating a quadratic switched-inductor cell. This innovative design allows for both voltage step-up and step-down operations in both directions of energy flow. The converter exhibits substantial gains and efficiency. To validate the theoretical findings, a 300W laboratory prototype of the converter was constructed and tested. Control and switching operations are managed by a DSP-based microcontroller operating at a sampling speed of 80 Mb/s, utilizing a fuzzy logic control technique. The Arvin converter, as suggested, offers numerous advantages that can be encapsulated as follows: It introduces a common ground-based high-gain topology, governed by a simple fuzzy logic controller, thus eliminating the requirement for intricate current and voltage equations for circuit elements. It makes the bidirectional energy flow possible and adopts a cost-effective, non-isolated configuration with a reduced count of semiconductor devices and passive components. The designed circuit was named ARVIN in honor of my 7-year-old son. [ABSTRACT FROM AUTHOR]

This paper presents a new optimization technique based on the hybridization of two meta-heuristic methods, Jellyfish Search (JS) and Moth Flame Optimizer (MFO), to solve the Optimal Power Flow (OPF) problem. The JS algorithm offers good exploration capacity but lacks performance in its exploitation mechanism. To improve its efficiency, we combined it with the Moth Flame Optimizer, which has proven its ability to exploit good solutions in the search area. This hybrid algorithm combines the advantages of both algorithms. The performance and precision of the hybrid optimization approach (JS-MFO) were investigated by minimizing well-known mathematical benchmark functions and by solving the complex OPF problem. The OPF problem was solved by optimizing non-convex objective functions such as total fuel cost, total active transmission losses, total gas emission, total voltage deviation, and the voltage stability index. Two test systems, the IEEE 30-bus network and the Mauritanian RIM 27-bus transmission network, were considered for implementing the JS-MFO approach. Experimental tests of the JS, MFO, and JS-MFO algorithms on eight well-known benchmark functions, the IEEE 30-bus, and the Mauritanian RIM 27-bus system were conducted. For the IEEE 30-bus test system, the proposed hybrid approach provides a percent cost saving of 11.4028%, a percent gas emission reduction of 14.38%, and a percent loss saving of 50.60% with respect to the base case. For the RIM 27-bus system, JS-MFO achieved a loss percent saving of 50.67% and percent voltage reduction of 62.44% with reference to the base case. The simulation results using JS-MFO and obtained with the MATLAB 2009b software were compared with those of JS, MFO, and other well-known meta-heuristics cited in the literature. The comparison report proves the superiority of the JS-MFO method over JS, MFO, and other competing meta-heuristics in solving difficult OPF problems. [ABSTRACT FROM AUTHOR]

Single abnormal gene structure of disorders, specifically the alpha (α) and beta (β) thalassemia recessive disorders are focused. From the NCBI website, the preferred DNA sequencing is downloaded. The objective is to study the structure of Single Abnormal Gene using modified Box counting principle and FFD-Fuzzy Fractal Dimension analysis. Initially the fractal dimension method is used and analyzed single abnormal gene structure with the help of box counting method where the grids are segmented into triangles. Further the analysis is enhanced through grid and triangular method of improved box counting methods named as Ruby Triangular dimension which is the novelty of the research. Comparison of Grid Dimension with Triangular Dimension based fractal and fuzzy fractal dimension in the severity of disease from its secondary structure of the disorder related genes structures are performed. Further the complexity of the Single Abnormal Gene structure evaluated to generate a unique Attractor for the prediction of the α-thalassemia and β-thalassemia disorder in earlier diagnosis, refer as bifurcation theory. The results shows that the triangular Ruby Dimension based improved box counting method facilitate quick with more exactitude. In grid method the size of the image should be 2n pixels and shrink to at most 2048 pixels, whereas the triangular pixels may be reduced to 23 times than grid method. Hence, this novel Fuzzy Fractal Ruby Triangular Dimension method shows better results and can be applied for image of higher dimensions with the same procedure. [ABSTRACT FROM AUTHOR]

Copyright of Duzce University Journal of Science & Technology is the property of Duzce University Journal of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Jiaoyu Kexue Wenxian is the property of Educational Science Literature (Chinese) Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper we investigate the pair difference cordial labeling behaviour of some product related graphs. [ABSTRACT FROM AUTHOR]

This paper presents a novel hybrid structural control solution designed for distillation systems that utilize a solar source alongside an electrical grid. The power conversion architecture incorporates a reversible bridge rectifier and a quadratic boost converter. The hybrid photovoltaic grid configuration offers several benefits, including source complementarity, enhanced dependability, and energy availability aligned with power requirements. Leveraging a photovoltaic source operating at maximum power facilitates energy conservation. On the control front, an adaptive technique based on a reference model is proposed. Fuzzy logic governs the quadratic boost converter, simplifying the management of its complex nonlinear nature. The control strategy aims to maximize solar power utilization, minimize harmonic components in the grid current, synthesize an adaptive controller, and achieve a near-unit power factor on the grid. The simulation results for a steady distillation system demonstrate promising findings. Despite variations in irradiation, load power, and grid drops, the system maintains a minimal bus voltage ripple, remaining close to the intended value. Optimization of the panel-generated power leads to improved PV source utilization and enhanced system efficiency. Furthermore, the combination with an electrical grid achieves a low rate of grid current distortion and a unitary power factor. [ABSTRACT FROM AUTHOR]

A hybrid approach is proposed for optimizing distribution systems (DSs) by integrating clean energy sources, specifically photovoltaic (PV) and wind power (WT). The proposed technique combines the mud ring algorithm (MRA) and quantum neural network (QNN), referred to as the MRA‐QNN technique. The primary objective is to minimize power loss and enhance voltage stability. The MRA method generates the control signal of the converter, while the QNN method predicts the control signal based on the MRA output. The effectiveness of the approach is revealed through simulations on standard IEEE 33 bus and 69 bus systems. Implementation in MATLAB shows superior performance compared to existing methods, with lower power loss values. There has been a sustained rise in the system voltage profile (In the WT and PV situations, 0.950. and 93 p.u), as well as a considerable reduction in the active power (AP) losses (to 132.39 kW with PV and 81.23 kW with WT from 362.86 kW). With PV, the entire yearly economic loss is lowered from $158932.68 to just $57996.939, and with WT, it is decreased to $56805.479. With three PVs, the yearly economic loss and active power losses are decreased to 30419.871 $ and 69.449, and 4.27 kW and 1875.930 $, respectively. [ABSTRACT FROM AUTHOR]

The whole world is now widely using green energy compared to fossil because of the depletion of fossil fuels, the rising temperature of the earth, and changing weather conditions, all these things are becoming a big threat to the life of the earth. This study proposed a stand-alone hybrid renewable energy system using different types of batteries. This model includes photovoltaic arrays, wind turbines, diesel generators, converters, and batteries. Lead-acid and lithium-ion batteries have been compared for the selection of optimal battery based on hybrid renewable energy system and sustainable development requirements. The purpose of this study is to find the optimal configuration, and techno-economic characteristics, using the hybrid optimization of multiple energy resources technique. The results of Lithium-ion and Lead Acid have been compared and it is found that the best configuration is photovoltaic arrays/wind turbines/ diesel generators /Battery/converter with lithium-ion Batteries. The net present cost and cost of energy are found to be 1.64M and 0.144$ respectively, for the selected study location. The carbon dioxide emission for configuration with LI batteries is 107314 kg/year as against the LA batteries which have 351288 kg/year. The results show LI batteries are technically as well as economically better than the LA batteries.

The country is blessed with vast resources required to make her energy secured. However, despite these huge resources, electricity supplies to the populace is still epileptic. Factors responsible for this has continued to be gas supply shortages to thermal power plants, under-utilization of plants, transmission and distribution challenges. In a bid to provide electricity for needed use, individuals and corporations have had to depend on self-generation using internal combustion engine generators fueled with petroleum products. However, the exorbitant cost and pollution effects are forcing many to a rethink. Technological advancement in Solar photovoltaics has made it more affordable and coupled with the timespan of sunshine, it is now receiving immerse attention. Electricity generation capacity from Solar Photovoltaics installation in the country that exist in literature has been stated as a bulk value, however, this study has gone further to state the capacity of different installations and also stating the aggregate. The aggregate figures for undocumented generations tends to be appalling. The next 3-5 years is posed to witness a great leap in solar photovoltaic installations in the country. The projected generation capacity based on ongoing projects by the year 2030 has also been provided and it is expected that it will account for about 39% of the total, a very great leap from the present fraction of about 2%. Routing Solar Photovoltaics generated electricity through mini-grids or utilizing it in off-grid mode will put it in a better stead to solving the country power challenges.

Typhoon disaster factors show multiplicity, so the risk assessment of typhoon-related disasters is more difficult than other hazards. Using the typhoon precipitation and maximum wind speed data of 81 national meteorological stations and 1 035 regional automatic meteorological stations in Anhui Province, a comprehensive typhoon wind and rain intensity index is first constructed. Then the typhoon wind and rain intensity index and disaster pregnant environment impact coefficient are used to assess the risk of typhoon disasters. According to the theory of natural disaster risk assessment, the risk assessment of housing damage by typhoon disaster in Anhui Province is conducted by integrating disaster-causing hazards, exposure level and vulnerability of disaster-bearing bodies. The results show that Anhui Province is affected by about 1.9 typhoons per year on average, with a duration of 2-4 days. The results are as follows. The southern part and mountainous areas usually have more typhoon precipitation than the northern part and plain areas. The high-hazard region caused by typhoon disasters is mainly located in the southern mountainous and Dabie Mountains in Anhui Province, with the relatively high-hazard region in the east of Jianghuai region, and the low-hazard area in most of the regions to the north of the Huaihe River and in the northwest of Jianghuai region. The high and relatively high-risk area of housing damage caused by typhoon disasters is located in the Dabie Mountains, the eastern part of the Jianghuai region, and the southern mountainous area in Anhui Province. These areas are generally high in elevation, and easily suffer from geological disasters and mountain floods during typhoon transit. In addition, the vulnerability of houses is high, which further causes a high risk of house collapse and damage. The medium-risk region is scattered in the Huaihe River region and Jiangnan region. Lower and low-risk areas are located in the central and western parts to the north of the Huaihe River, regions along the Yangtze River, and main urban areas. Using reports on house damage caused by typhoons from different counties in Anhui Province, the zoning results are verified through spatial consistency and scatter correlation. A high degree of spatial consistency between the risk zoning results and the actual damage, with scatter correlation between them passing a significance test of 0.01, indicating that the risk zoning results of housing damage by typhoon disaster in Anhui Province are basically consistent with the actual situation.

Several concepts that model processes of spreading (of information, disease, objects, etc.) in graphs or networks have been studied. In many contexts, we assume that some vertices of a graph G are contaminated initially, before the process starts. By the q -forcing rule, a contaminated vertex having at most q uncontaminated neighbors enforces all the neighbors to become contaminated, while by the p -percolation rule, an uncontaminated vertex becomes contaminated if at least p of its neighbors are contaminated. If given a set S of initially contaminated vertices all vertices eventually become contaminated when continuously applying the q -forcing rule (respectively the p -percolation rule), S is called a q -forcing set (respectively, a p -percolating set) in G. In this paper, we consider sets S that are at the same time q -forcing sets and p -percolating sets, and call them (p , q) -spreading sets. Given positive integers p and q , the minimum cardinality of a (p , q) -spreading set in G is a (p , q) -spreading number, σ (p , q) (G) , of G. While q -forcing sets have been studied in a dozen of papers, the decision version of the corresponding graph invariant has not been considered earlier, and we fill the gap by proving its NP-completeness. This, in turn, enables us to prove the NP-completeness of the decision version of the (p , q) -spreading number in graphs for an arbitrary choice of p and q. Again, for every p ∈ N and q ∈ N ∪ { ∞ } , we find a linear-time algorithm for determining the (p , q) -spreading number of a tree, where in the case p ≥ 2 we apply Riedl's algorithm from [Largest and smallest minimal percolating sets in trees, Electron. J. Combin. 19 (2012) Paper 64] on p -percolation in trees. In addition, we present a lower and an upper bound on the (p , q) -spreading number of a tree and characterize extremal families of trees. In the case of square grids, we combine some results of Bollobás from [The Art of Mathematics: Coffee Time in Memphis. Cambridge Univ. Press, New York, 2006], and the AIM Minimum Rank-Special Graphs Work Group from [Zero forcing sets and the minimum rank of graphs, Linear algebra Appl. 428 2008 1628–1648], and new results on (2 , 1) -spreading and (4 , q) -spreading to obtain σ (p , q) (P m □ P n) for all (p , q) ∈ (N ∖ { 3 }) × (N ∪ { ∞ }) and all m , n ∈ N. [ABSTRACT FROM AUTHOR]

Today, the utilization of small‐scale solar systems for houses has increased significantly around the globe. The rise of electricity prices due to elevated prices of fossil fuels coupled with the global concerns about the increased emission of greenhouse gases has fueled the increased application of renewable energy systems. However, such policies have been ineffective in particular countries where the electricity prices are kept too low to control social atmosphere and enhance the people's well‐being for political purposes—in this case, solar systems have witnessed no growth as they have rendered not economically justifiable. In this respect, the present research considers Iran as a country with very low electricity prices coupled with very large potentials for utilizing solar energy in the presence of imbalanced electricity supply and demand, with the research objective being an investigation of the required incentive policies to promote the utilization of distributed solar photovoltaic (DSPV) systems in the country. According to the results, it was figured out that, under the current conditions, escalating the price of electricity for houses (even to as high as 10 times the current prices) cannot cover the costs of the equivalent DSPV systems, indicating a need for another cluster of policies. As an option, one may consider buying the generated electricity by the customer (from renewable sources) at a higher price than that at which the electricity is offered to households via the grid (by a margin of 15 folds), which is supposed to provide the required incentive to expand the utilization of DSPV systems. [ABSTRACT FROM AUTHOR]

Currently, the solar photovoltaic (PV) systems are becoming more and more important in order to meet the world's increasing demand for electricity. In this study, a unique Hybrid Group Search Integrated Rider (HGSR)-MPPT control technique is developed to track the maximum solar energy from the PV panels in order to meet the grid systems' need for electricity. Then, the output voltage of the PV is boosted using the cutting-edge Cuk Step-Up converter, which has a higher voltage gain efficiency and lower stress voltage between the switches. Consequently, the Self-Adaptive Rao Control (SARC) technique is implemented to produce the pulses required to actuate the converter's switching components. More specifically, the improved switched capacitor five-level inverter circuit is modelled in this study to improve the grid unit's power quality with low leakage current, switching stress, and minimal component consumption. In order to improve the performance of the MLI's switching operating modes, the unique Deep Reinforced Q-Learning Control (DRQLC) technique is implemented. The output voltage, current, power, THD, and voltage gain efficiency of the proposed controlling mechanisms' simulation results are evaluated and analyzed. • To track the maximum solar energy from the PV panels. • The improved switched capacitor five-level inverter circuit Proposed. • Deep Reinforced Q-Learning Control (DRQLC) technique is implemented. • Cuk Step-Up converter is being used to boost the output voltage of PV. • Five level inverter and DQRLC control technique produce good grid performance in terms of 99% efficiency and 1.12% of THD. [ABSTRACT FROM AUTHOR]

Recently, Egypt has recognized the pivotal role of High Performance Computing in advancing science and innovation. Additionally, Egypt realizes the importance of collaboration between different institutions and universities to consolidate their own computational and data resources into a unified platform to serve different disciplines (e.g., scientific, industrial, governmental). Otherwise, additional resources would be needed to be purchased with the associated cost, effort, and time difficulties (e.g., setup, administration, maintenance, etc.). Thus, this paper delves into the architecture and capabilities of the EN-HPCG grid using two different workload management systems: (i) Slurm (Open-Source) and (ii) PBS Pro (Licensed). This paper compares the performance of the grid between Slurm and PBS Pro in specific high-throughput computing (HTC) applications using the NAS Grid parallel benchmark (NGB) to determine which workload manager is more suitable for EN-HPCG. The evaluation includes grid-level performance metrics such as throughput, and the number of tasks completed as a function of time. Also, the presented methodology aims to assist potential partners in their decision-making process to join the EN-HPCG grid, with a focus on the site speed-up metric. Our results showed that, unless an open-source solution without cost and license problems is an obligation (in which case, Slurm is the viable solution), then it is not advisable to integrate a cluster with high-speed hardware with a cluster possessing outdated hardware when using the Slurm scheduler. In contrast, the PBS Pro scheduler takes into account online decision-making in a dynamic environment using a unified grid. [ABSTRACT FROM AUTHOR]

Polarization and charge-transfer interactions play an important role in ligand–receptor complexes containing metals, and only quantum mechanics methods can adequately describe their contribution to the binding energy. In this work, we selected a set of benzenesulfonamide ligands of human Carbonic Anhydrase II (hCA II)—an important druggable target containing a Zn2+ ion in the active site—as a case study to predict the binding free energy in metalloprotein–ligand complexes and designed specialized computational methods that combine the ab initio fragment molecular orbital (FMO) method and GRID approach. To reproduce the experimental binding free energy in these systems, we adopted a machine-learning approach, here named formula generator (FG), considering different FMO energy terms, the hydrophobic interaction energy (computed by GRID) and logP. The main advantage of the FG approach is that it can find nonlinear relations between the energy terms used to predict the binding free energy, explicitly showing their mathematical relation. This work showed the effectiveness of the FG approach, and therefore, it might represent an important tool for the development of new scoring functions. Indeed, our scoring function showed a high correlation with the experimental binding free energy (R2 = 0.76–0.95, RMSE = 0.34–0.18), revealing a nonlinear relation between energy terms and highlighting the relevant role played by hydrophobic contacts. These results, along with the FMO characterization of ligand–receptor interactions, represent important information to support the design of new and potent hCA II inhibitors. [ABSTRACT FROM AUTHOR]

The whole world is now widely using green energy compared to fossil because of the depletion of fossil fuels, the rising temperature of the earth, and changing weather conditions, all these things are becoming a big threat to the life of the earth. This study proposed a stand-alone hybrid renewable energy system using different types of batteries. This model includes photovoltaic arrays, wind turbines, diesel generators, converters, and batteries. Lead-acid and lithium-ion batteries have been compared for the selection of optimal battery based on hybrid renewable energy system and sustainable development requirements. The purpose of this study is to find the optimal configuration, and techno-economic characteristics, using the hybrid optimization of multiple energy resources technique. The results of Lithium-ion and Lead Acid have been compared and it is found that the best configuration is photovoltaic arrays/wind turbines/ diesel generators /Battery/converter with lithium-ion Batteries. The net present cost and cost of energy are found to be 1.64M and 0.144$ respectively, for the selected study location. The carbon dioxide emission for configuration with LI batteries is 107314 kg/year as against the LA batteries which have 351288 kg/year. The results show LI batteries are technically as well as economically better than the LA batteries. [ABSTRACT FROM AUTHOR]

Photovoltaic (PV) has become an important alternative because of the increased demand for electricity and the limited supply of traditional energy sources. Harmonic distortion (HD) on the grid-connected PV can lead to several undesirable outcomes, including overheating of connected equipment, frequent grid interruptions, reduced accuracy of electrical meters, and an increase in the required current. This manuscript proposes the novel use of the Sunflower Optimization (SFO) Algorithm in grid-connected single-stage DC–AC converter with minimizing Total HD (THD) and enhancing the efficiency of the system as its primary objective. The SFO algorithm is used to maximize the system's features and control the switched inductor boost converter. The proposed technique is then simulated using MATLAB and its performance is contrasted with other existing technologies Recurrent Neural Network (RNN), Garra-Rufa Fish Optimization-Student Psychology Optimization Algorithm (GRFO-SPOA), and Fuzzy Logic Control (FLC). The proposed method attains an efficiency of 97% with a low THD of 3.1%. The findings suggest that the proposed method outperforms the existing approaches. [ABSTRACT FROM AUTHOR]

The aim of this article is to analyze the impact of land use changes on trade-offs/synergies of the ecosystem service in Gangu County, Gansu province, China, from 2000 to 2020, and intends to provide a reference for decision-making on regional ecological environment protection and restoration. We analyzed the land use changes in Gangu County with the dynamic degree of single land use. Changes in ecosystem service values (ESV) were analyzed using the equivalent factor method. The temporal and spatial distribution patterns of ecosystem service trade-offs/synergies were elaborated with the help of the correlation coefficient method and local autocorrelation analysis. The impact of land use change on trade-offs/synergies of ecosystem service was analyzed according to the ecological contribution rate of land use changing and the changing of land use area. The results showed that: (1) cultivated land and grassland were the dominant land use types in Gangu County, China; the largest increase in the dynamic degree of single land use was in construction land, followed by grassland, and the largest decrease in the dynamic degree of single land use was in unused land, followed by grassland. (2) Between 2000 and 2020, the ESV showed an upward trend; the regulating service provided the largest part of the ESV among the four first ecosystem service types. The medium ESV zone occupied the largest area, and the spatial distribution pattern of ESV was high in the south and low in the north of Gangu County, China. (3) The relationships of ecosystem services were dominated by synergistic and supplemented by trade-offs. The strongest synergistic relationship was expressed between EP and BP, then, between EP and AL. Meanwhile, the strongest trade-off relationship was carried out between BP and FP. During the 20 years, the relationship of ecosystem service showed a weak shift from mainly synergistic to trade-off temporally. Spatially, the synergistic relationship was dominated and concentrated in the central and southern parts of the study area. (4) The increase in the area of grassland and forest land were the root causes resulting in the increase of ESV in Gangu County. In the time dimension, land use change had the greatest impact on the trade-off synergistic relationship between FP and all other services. In the spatial dimension, land use change has little impact on trade-offs/synergies in the northern region and more in the central and southern regions of Gangu County. The results of this study can provide a scientific basis for improving the ecological environment and promoting sustainable development in Gangu County. At the same time, it will lay the foundation for the region to realize a win–win situation between economic development and ecological protection. [ABSTRACT FROM AUTHOR]

In wind energy systems, increasing system efficiency by maximizing the usage of wind speed has become an important issue. In this study, a single-phase grid-connected Maximum Power Point Tracking (MPPT) system that does not use a speed sensor or any motor control algorithm under variable wind speeds is proposed. In the proposed system, a Permanent Magnet Synchronous Generator (PMSG) is chosen as the generator, and a diode rectifier circuit is used at its output. To achieve the necessary DC bus voltage for grid connection at variable speeds, a DC-DC boost converter is included. The system is simplified by not using any motor control techniques and by employing PI and PR controllers for regulation. Additionally, the use of a diode rectifier instead of a controlled rectifier at the PMSG output reduces the system's cost and size. The proposed MPPT system, with a nominal power of 2kW and a bus voltage of 400V, was tested in simulation studies. The results demonstrated the system's performance and accuracy. [ABSTRACT FROM AUTHOR]

In classical broadcast models, information is disseminated in synchronous rounds under the constant communication time model, wherein a node may only inform one of its neighbors in each time-unit—also known as the processor-bound model. These models assume either a coordinating leader or that each node has a set of coordinated actions optimized for each originator, which may require nodes to have sufficient storage, processing power, and the ability to determine the originator. This assumption is not always ideal, and a broadcast model based on the node's local knowledge can sometimes be more effective. Messy models address these issues by eliminating the need for a leader, knowledge of the starting time, and the identity of the originator, relying solely on local knowledge available to each node. This paper investigates the messy broadcast time and optimal scheme in a grid graph, a structure widely used in computer networking systems, particularly in parallel computing, due to its robustness, scalability, fault tolerance, and simplicity. The focus is on scenarios where the originator is located at one of the corner vertices, aiming to understand the efficiency and performance of messy models in such grid structures. [ABSTRACT FROM AUTHOR]

This paper proposes a hybrid COA‐QNN approach for an interleaved KY converter with closed‐loop control for a single‐phase grid‐connected photovoltaic (PV) system. The proposed strategy combines both Cheetah Optimizer algorithm (COA) and Quantum Neural Network (QNN), and it is commonly named the COA‐QNN technique. The interleaved KY converter is connected in the converter side. The primary goal of the COA‐QNN technique is to enhance PQ while maximizing PV electricity being transferred to the grid. The proposed COA is utilized to identify the optimal closed‐loop controller enhancements for on‐grid solar photovoltaic systems. The QNN is used to predict the optimal control parameter. The PV‐interleaved KY converter is managed by a predictive control mechanism to carry out both tasks of PQ enhancement. By then the COA‐QNN technique is implemented on the MATLAB platform and compared with existing methods. Finally, the proposed method shows better results in all methods, such as GWO, FF optimization and combined GWO‐FF. [ABSTRACT FROM AUTHOR]

The separation of impurities from raw cotton is investigated. The possibility of increasing the efficiency by reducing the stiffness of the cotton is considered. Vibration of the grid that holds the cotton may be used to that end. [ABSTRACT FROM AUTHOR]

Localisation is an important task and is complex in 3D WSNs in comparison to 2D. The presence of obstacles or irregular terrain makes the localisation task more challenging due to the lack of network connectivity. Few approaches proposed have considered irregular topology but for limited structures like C, H, valley, mountainous areas, etc. This paper investigates the localisation error of sensor nodes deployed in four different 3D real terrains. The network area is divided into grids and a mobile anchor node broadcasts a signal from each grid. This network division provides sufficient anchor signal to each sensor node and found that more than 95% of sensor nodes have been localised with an average localisation error of 19 m. The use of a mobile anchor node eliminates the requirement for many fixed-grounded anchor nodes. The results obtained demonstrate that the localisation error is dependent on terrain topography, grid size and UAV height. [ABSTRACT FROM AUTHOR]

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In this work, a grid-connected hybrid energy system composed of wind/PV/FC/DG with a HESS based on a battery and supercapacitor. To protect the latter from deep discharge and enhance network flexibility, we use a diesel generator. The objectives of this research are: For generator-side control systems, we apply the TSR strategy for the wind power generator and the FLC strategy for the photovoltaic generator to achieve maximum energy operation. On the management side, we proposed and implemented a new hybrid intelligent energy management strategy based on the FLC-ANN to balance energy supply and demand and increase the life cycle of the proposed system. As for the grid side, the DPC-FLC was applied to control the flow of active and reactive power flowing in the grid. To evaluate the effectiveness of the proposed controllers under changing conditions in energy demand and climate, a simulation test of the proposed system was conducted using the Matlab-Simulink platform. Finally, the results obtained demonstrated the efficiency of the proposed system in terms of the feasibility and effectiveness of the proposed control techniques, in addition to the THD of the network current, which reached 0.34%, which contributes to improving the power quality of hybrid systems. [ABSTRACT FROM AUTHOR]

This paper provides a comprehensive analysis of a grid-connected hybrid microgrid system that seamlessly integrates renewable energy sources, encompassing wind generators, solar arrays, and Fuel Cells (FCs). Emphasis is placed on the pivotal role of power electronic converters in optimizing control and energy management strategies for these diverse sources. The wind and solar subsystems employ Perturb and Observe (P&O) controllers to achieve Maximum Power Point Tracking (MPPT). Additionally, the study delves into the analysis and control design of the grid-connected hybrid system inverter, employing a Proportional-Integral (PI) control technique in the synchronous d-q frame to maximize the output voltage response and active power. In managing renewable grid energy based on artificial neural networks (ANNs), the main goal is to address grid availability concerns by prioritizing renewable sources. The hybrid system acts as a backup during grid unavailability and simultaneously produces hydrogen via electrolysis. The excess energy is seamlessly supplied to the grid upon filling the hydrogen tank. The proposed solution shows great promise for use in renewable energy management systems that combine hybrid technologies. [ABSTRACT FROM AUTHOR]

The grid plays a prominent role in architecture, aiding in space organization and influencing all aspects of planning, ranging from urban design to intricate building details. This paper posits that the grid receives heightened emphasis in Brutalism, particularly in constructivist Brutalism, where materials and construction are intentionally exposed. A question arises regarding the grid's characteristics—despite its subtle appearance, the grid can sometimes be deceptive, ambiguous, and manipulative. The paper analyzes the merits and drawbacks of employing the grid in architecture, shedding light on its contributions to both structural and perceptual comprehensibility, as well as its role in increasing usefulness. To illustrate the application and perception of the grid, the paper examines two primary planning levels: urban planning and building design. The case studies focus on examples from New York City housing developments, specifically those constructed between the 1950s and the 1970s, and projects by architect I. M. Pei, which offer valuable insights into practical implementation. The paper concludes that while the grid can establish order, it may also engender an "uncanny" feeling. [ABSTRACT FROM AUTHOR]

Nowadays, the production of renewable energy is increasing rapidly due to its enormous potential and environmental advantages. Still, the addition of renewable energy to the grid has resulted in some volatility in the electrical system. In this work, the national grid of Ethiopia is used as an example to examine the impact of significant wind power integration on grid stability. In particular, issues with voltage stability in both steady-state and emergency scenarios are taken into account for the network. The dynamic modeling of the wind farm is taken into consideration for contingency-based analysis, and the whole nation's power network, including the largest wind farm in the nation, Adama-II, is modeled for base-case analysis using MATLAB's built-in PSAT software. The result indicates that the bus voltages are within an acceptable standard voltage range for the base-case system. Nevertheless, the wind farm will be disconnected from the network in compliance with the global manufacturer's guideline in the case of a three-phase fault at the network point of common coupling (PCC), where the voltage at PCC is equivalent to 0.045 per unit voltage. The results also demonstrate that the voltage profile throughout the whole nation power network is lower when there is a problem at PCC. As a result, as Ethiopia is building several huge wind farms, it is advised that fault detection and control methods be thoroughly designed before connecting the major wind farms to the grid.