Abstract
Laser guidance is a continuous process, during which a lot of operational data and corresponding changes are generated. Aiming at the live-fire drill shooting training and assessment ...evaluation of a certain type of laser-guided missile, this paper analyzes the principle of laser guidance, studies the weighting system of the information field based on the importance of characteristic intervals, integrates and processes the data and outputs the aiming effect picture and sheet, and constructs the aiming and tracking ability evaluation model. Stationary targets and moving targets are tested respectively, and the verification model can realize the calculation of laser information field, the integration of coordinate data, the output of aiming effect diagram, and the evaluation of the shooter’s aiming and tracking ability expressed in a percentage system. The model realizes data collection, integration and processing based on MATLAB software, and builds graph and table output ports, which can realize low delay processing of a large amount of short-term data.
This paper presents a detailed survey of the research on warehouse design, performance evaluation, practical case studies, and computational support tools. This and an earlier survey on warehouse ...operation provide a comprehensive review of existing academic research results in the framework of a systematic classification. Each research area within this framework is discussed, including the identification of the limits of previous research and of potential future research directions.
There are many factors that affect the faults sealing capacity, but the traditional lateral sealing model only considers the clay content, which leads to the great limitations of the established ...evaluation model. The objective of this study is to comprehensively examine the influence of potentially contributing factors on the fault sealing capacity. The Shuangtaizi structure is selected as the research focus in this study, where a 3D geological model is established to conduct detailed reservoir characterization for calculating trap elements and hydrocarbon column height. Subsequently, a dataset on the sealing attributes of fault-bounded traps is constructed after optimizing the dataset. By utilizing both machine learning evaluation models and traditional methods, the evaluation of the lateral sealing capacity of Shuangtaizi structural faults is performed. The influencing factors of fault rock sealing are clearly delineated as ten key parameters: effective normal stress, clay content, fault strike, fault throw, dip angle, transverse gradient, dip slip gradient, longitudinal gradient, longitudinal strain and shear strain in descending order of importance. Among these factors analyzed for fault sealing considerations, the most significant is the effective normal stress followed by clay content. By establishing a novel machine learning-based lateral sealing evaluation model and comparing it with the traditional SGR-AFPD fault lateral sealing evaluation model, it could be observed that the machine learning model exhibits a smaller error range and higher confidence in its evaluation results compared to the traditional model. Notably, the conventional model fails to consider the crucial influence of effective normal stress on sealing performance, which accounts for its inadequate accuracy. The model incorporates a comprehensive assessment of various factors that influence the lateral sealing capability of faults. In order to obtain objective and more realistic evaluation results, it is imperative to establish a multidimensional evaluation model in future studies.
•The study presents an innovative machine learning model for the assessment of fault sealing capacities.•Unlike previous studies, this new model incorporates ten parameters influencing fault sealing.•It is observed that the impact of effective normal stress on fault sealing surpasses that of clay content.•The developed BP neutral network model exhibits reduced error and enhanced confidence.
A review of wind energy technologies Joselin Herbert, G.M.; Iniyan, S.; Sreevalsan, E. ...
Renewable & sustainable energy reviews,
08/2007, Letnik:
11, Številka:
6
Journal Article
Recenzirano
Energy is an essential ingredient of socio-economic development and economic growth. Renewable energy sources like wind energy is indigenous and can help in reducing the dependency on fossil fuels. ...Wind is the indirect form of solar energy and is always being replenished by the sun. Wind is caused by differential heating of the earth's surface by the sun. It has been estimated that roughly 10 million MW of energy are continuously available in the earth's wind. Wind energy provides a variable and environmental friendly option and national energy security at a time when decreasing global reserves of fossil fuels threatens the long-term sustainability of global economy. This paper reviews the wind resources assessment models, site selection models and aerodynamic models including wake effect. The different existing performance and reliability evaluation models, various problems related to wind turbine components (blade, gearbox, generator and transformer) and grid for wind energy system have been discussed. This paper also reviews different techniques and loads for design, control systems and economics of wind energy conversion system.
The paper discusses the concept of a proprietary decision-making model that allows for determining whether the planned development in areas not protected by flood embankments and at risk of flooding ...can be shaped in a safe manner. The model was used to evaluate the possibility of shaping the development in flood-risk areas on the example of one of the types of Olęder villages – a dispersed village located in the floodplains of the Warta River (western Poland). So far, there has been no comprehensive evaluation method supporting proper spatial planning for flood-risk areas. The use of multi-criteria analysis methods enabled to specify the key criteria of this evaluation, which form the basis of the decision-making support system. Additionally, the elaborated method enables to determine whether the localities under study can retain their current functional nature and if there is a potential for further spatial development based on the characteristics of an Olęder village. The presented methodology can be easily adapted to other cultural areas located in countries with different levels of development, traditions, landscape or climate.
Display omitted
•Shaping the development in flood-risk areas•Proprietary decision-making model based on PROMETHEE II method•Assessment of the decision-making model for villages located in flood plains•Sensitivity analysis of the developed decision-making model
Stress corrosion cracking (SCC) has always been a crucial issue affecting the safe operation of pipeline steels. To address the challenges of SCC evaluation for pipeline steels in external ...environments, this study establishes and validates a SCC quick-evaluation model for pipeline steel in external environments. This model requires only electrochemical tests and a small number of slow strain rate test to obtain the stress corrosion susceptibility distribution of pipeline steel across the entire potential range. The model is applicable to different environments and pipelines, demonstrating broad applicability, operational convenience, and accurate results. The evaluation error of the model is less than 18 %, meeting the requirements for SCC assessment in engineering. Based on the quick-evaluation model, non-steady-state electrochemical test provides electrochemical information for crack-tip and non-tip regions at different potentials, serving as the basis for determining SCC mechanisms. As the applied potential shifts negatively from OCP, the SCC mechanisms of pipeline steel can be divided into the AD+HE and HE mechanism.
•A dedicated standalone piece of software for fish habitat simulation was constructed.•Spur dike deployment enhances physical habitat quality and quantity in bends.•The deployment of dike group ...reduces ecological flow demand by 25%.•Combination of spur dikes and bend flow optimizes habitat improvement.
Although channel meandering is currently a popular approach for river ecological restoration, the spiral flow formed in bends may lead to fragmentation of aquatic habitats due to the concave bank erosion and convex bank sedimentation. The aforementioned issue motivated this study, which aims to mitigate the adverse effects of curved flow on aquatic habitats within bends. We proposed a placement strategy of dike group within the curved channel to adjust the water–sediment structure of meandering rivers, thereby safeguarding against bank erosion and the fragmentation of river habitats. The effectiveness of this strategy has been validated by the development of numerical models based on 2D depth-averaged water–sediment equations, coupled with the IFIM method. These models investigate the mechanism of aquatic habitat enhancement achieved by deploying groups of submerged and non-submerged dikes on the convex and concave banks of the Fuhe River in Chengdu, China. The findings indicate that the implementation of dike groups resulted in an enhancement of approximately 30% in the weighted usable area (WUA) of the specific river. This improvement was accompanied by a 25% decrease in the ecological flow threshold (WUAmax). Furthermore, subsequent comprehensive comparative analyses under various conditions revealed that the fluctuations in enhancement effects were mitigated by flow increases. The degree of submergence parameter exhibits heightened sensitivity to enhancement effects, especially when the flow remains below the ecological threshold. The findings of this study can serve as a reference for the ecological restoration of river systems.
•Integrated Decision Model: The research introduces a decision model for optimizing the operation of cascade hydropower stations, balancing power generation and ecological considerations.•Jinsha ...River Case Study: The model’s application in the lower Jinsha River uncovers significant conflicts between energy production and ecological preservation objectives.•Comprehensive Decision-Making: The study underscores the necessity of a holistic decision-making strategy that integrates multiple objectives and utilizes advanced algorithms to promote sustainable river management and align economic and ecological interests.
The establishment and functioning of cascade hydropower stations have significantly altered the natural state of rivers, leading to increasingly severe ecological impacts downstream. To mitigate the adverse effects of cascade reservoir impoundment on river ecosystems and achieve the multi-objective goals of hydropower development and environment protection, this study presents an integrated decision model for optimizing the operation of cascade hydropower stations, utilizing the lower Jinsha River as a case illustration. The proposed model comprises three main components: ecological flow calculation, establishment of a multi-objective optimization model, and scheme evaluation. The ecological flow threshold for the river was determined using the Tennant method. The multi-objective optimization model was formulated with objectives including power generation, ecological flow shortage, and navigation disruption days. The NSGA-II algorithm was employed to resolve the optimization framework. The improved TOPSIS method was adopted for evaluating the operation schemes. The case study conducted in the downstream region of the Jinsha River revealed significant conflicts between the objectives of power generation and ecological conservation. Moreover, different typical years exerted a considerable influence on determining the optimal operation scheme. The proposed integrated decision model provides a scientific framework for guiding the water resource dispatching of cascade hydropower stations and achieving the harmonization of economic and ecological benefits. Overall, this research contributes to the academic field by addressing the complex difficulties related to optimizing the operation of cascade hydropower stations while considering ecological concerns. The findings underscore the importance of adopting a comprehensive decision-making approach that integrates multiple objectives and utilizes advanced algorithms for sustainable river management.
EDUCATIONAL APPLICATIONS EVALUATION MODEL: EVALUATING GOOGLE PLAY® ORGANIC CHEMISTRY APPS. Over the years it has been possible to notice the growth of applications for educational purposes available ...on digital platforms. Many of these apps are used in teaching and learning processes, however few are evaluated regarding their theoretical and practical aspects. In this context, in chemistry teaching, specifically the area of organic chemistry, it is inferred that apps can help build knowledge of this Science through visualization and interaction with them, but little is discussed about how these apps are evaluated in practice. Therefore, the present work proposes a new model based on technical and pedagogical aspects, based on evaluation models for educational digital games and Bloom’s digital taxonomy, called the educational application evaluation model (EAEM). In addition, organic chemistry applications available on the Google Play® platform through EAEM are analyzed. The results indicate that the EAEM was efficient in evaluating organic chemistry apps, configuring itself as an alternative for choosing educational apps regardless of the subject, where teachers can analyze the characteristics of the apps according to their pedagogical activities.
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