检索结果-内蒙古大学图书馆

Large eddy simulation on effects of trench geometry on film cooling effectiveness through fan-shaped holes

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 2023年第1期216卷

作者： Zamiri, Ali Abdeh, Hamed Barigozzi, Giovanna Chung, Jin Taek Korea Univ Sch Mech Engn Seoul South Korea Univ Bergamo Dept Engn & Appl Sci Dalmine Italy

Modern gas turbines require the use of external film-cooling techniques to effectively cool the turbine blades, which are heated by hot combustion gases. Large eddy simulation (LES) is conducted to numerically evaluate the influences of trench configurations on film-cooling effectiveness and flow-field behavior of a shaped hole. The cooling hole was a laidback fan-shaped hole with a 17.5-degree forward expansion angle located on a flat plate surface with a 30-degree injection angle at a constant blowing ratio of 2.0 and a constant density ratio of 1.5. The computed film-cooling effectiveness was validated with that obtained in the experimental data for the reference case at two blowing ratios. Two geometrical parameters of the trench height and width were selected as design variables, and overall area-averaged film-cooling effectiveness was considered as an objective function. The Latin Hypercube sampling (LHS) method was applied to generate the designed cases and two different optimization algorithms, the response surface methodology (RSM) and the Kriging method, were employed to maximize the objective function. The computational LES results revealed that trenched cases with a larger trench height and a relatively smaller trench width improved cooling performance. The optimal trench configurations based on the RSM and Kriging method, demonstrated improvements in cooling performance by 27% and 25%, respectively, compared to the reference case without a trench slot. The transient analysis also showed that the flow unsteadiness and velocity disturbances near the trench exit at the mixing region were weakened for the cooling holes with the optimal trench cases.

关键词： Film-cooling effectiveness Fan-shaped cooling hole optimization algorithm Large eddy simulation

来源：评论

学校读者我要写书评

暂无评论

Community energy storage system: Deep learning based optimal energy management solution for residential community

引用

JOURNAL OF ENERGY STORAGE 2023年 64卷

作者： Alam, Md. Morshed Bin Mofidul, Raihan Jang, Yeong Min Kookmin Univ Dept Elect Engn Seoul South Korea

The concept of community energy storage system (CESS) is required for the efficient and reliable utilization of renewable energy and flexible energy sharing among consumers. This paper proposes a novel approach to assess the practical benefits of CESS deployment in a residential community by decreasing the daily electricity cost and maximizing the self-consumption of PV energy. To this end, a deep-learning-based forecasting model, namely a bi-directional long short-term memory model, is implemented to predict the operational constraints and dependency. Furthermore, a hybrid optimization technique that comprises a clustering and optimization algorithm is developed in which the clustering algorithm ensures appropriate combinations of user groups to develop optimal control policies. Finally, the forecasting model is integrated with the hybrid optimization algorithm to find the optimal solution involving PV-CESS energy utilization. Numerical analyses are performed using real historic data of the energy demand and PV generation for three consecutive days considering different scenarios. The results demonstrate that the electricity costs and self-consumption associated with the CESS are lower and greater than those of an individual ESS system, respectively, with the daily electricity cost decreasing by 21.89%, 13.81%, and 7.66% in the three analyzed scenarios.

关键词： Energy management system Community energy storage system Optimal scheduling optimization algorithm Bi-directional long short-term memory Clustering algorithm

来源：评论

学校读者我要写书评

暂无评论

An artificial hummingbird algorithm based localization with reduced number of reference nodes for wireless sensor networks

引用

PHYSICAL COMMUNICATION 2022年 55卷

作者： Bhat, Soumya J. Santhosh, K. V. Manipal Acad Higher Educ MAHE Manipal Inst Technol Ctr Cyber Phys Syst Dept Instrumentat & Control Engn Manipal 576104 Karnataka India Shri Madhwa Vadiraja Inst Technol & Management Dept Comp Sci & Engn Bantakal 574115 Karnataka India

Wireless Sensor Networks (WSN) are widely used in recent years due to the advancements in wireless and sensor technologies. Many of these applications require to know the location information of nodes. This information is useful to understand the collected data and to act on them. Existing localization algorithms make use of a few reference nodes for estimating the locations of sensor nodes. But, the positioning and utilization of reference nodes increase the cost and complexity of the network. To reduce the dependency on reference nodes, in this paper, we have developed a novel optimization based localization method using only two reference nodes for the localization of the entire network. This is achieved by reference nodes identifying a few more nodes as reference nodes by the analysis of the connectivity information. The sensor nodes then use the reference nodes to identify their locations in a distributive manner using Artificial Hummingbird algorithm (AHA). We have observed that the localization performance of the reported algorithm at a lower reference node ratio is comparable with other algorithms at higher reference node ratios. (c) 2022 Elsevier B.V. All rights reserved.

关键词： Artificial hummingbird algorithm Hop based localization optimization algorithm Range free Reference nodes Wireless sensor network

来源：评论

学校读者我要写书评

暂无评论

Comprehensive exploration: Automatic mode-locking technology and its multidisciplinary applications

引用

INFRARED PHYSICS & TECHNOLOGY 2024年 138卷

作者： Liu, He Sun, Chenxi Zhang, Haoran Harbin Univ Sci & Technol Sch Measurement & Commun Engn Harbin Peoples R China

We present a thorough review of the evolution and current status of automatic mode -locking technology, offering insights into its remarkable developments. Automatic mode -locking technology commences with traversal algorithms and genetic algorithms, progressing to machine learning. The advancements of optimization algorithms have ushered in a new era characterized by exceptional time efficiency, enhanced precision, adaptability to multiple variables, and the ability to engage with complex mode -locking regimes. This review concentrates on the improvements of hardware components of automatic mode -locking technology in addition to these algorithmic advances. We introduce the evolution of pivotal components, including polarization control elements and central control sections, which play a critical role in achieving stability and integration, and introduction of realtime measurement techniques in hardware, such as the time -stretched dispersive Fourier transform, which accurate monitoring and adjustment of clamping status and optical characteristics. Finally, a summary and outlook on the development of automatic mode -locking technology is presented.

关键词： Automatic mode -locking optimization algorithm Time -stretched dispersive Fourier transform

来源：评论

学校读者我要写书评

暂无评论

Self-Organizing Migrating algorithm with narrowing search space strategy for robot path planning

引用

APPLIED SOFT COMPUTING 2022年 116卷 108270-108270页

作者： Diep, Quoc Bao Truong, Thanh Cong Das, Swagatam Zelinka, Ivan VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Ostrava Czech Republic Univ Finance Mkt Ho Chi Minh City Vietnam Indian Stat Inst Elect & Commun Sci Unit Kolkata India Ton Duc Thang Univ Fac Elect & Elect Engn Ho Chi Minh City Vietnam

This article introduces a version of the Self-Organizing Migrating algorithm with a narrowing search space strategy named iSOMA. Compared to the previous two versions, SOMA T3A and Pareto that ranked 3rd and 5th respectively in the IEEE CEC (Congress on Evolutionary Computation) 2019 competition, the iSOMA is equipped with more advanced features with notable improvements including applying jumps in the order, immediate update, narrowing the search space instead of searching on the intersecting edges of hyperplanes, and the partial replacement of individuals in the population when the global best improved no further. Moreover, the proposed algorithm is organized into processes named initialization, self-organizing, migrating, and replacement. We tested the performance of this new version by using three benchmark test suites of IEEE CEC 2013, 2015, and 2017, which, together contain a total of 73 functions. Not only is it superior in performance to other SOMAs, but iSOMA also yields promising results against the representatives of well-known algorithmic families such as Differential Evolution and Particle Swarm optimization. Moreover, we demonstrate the application of iSOMA for path planning of a drone, while avoiding static obstacles and catching the target. (C) 2021 The Author(s). Published by Elsevier B.V.

关键词： Self-Organizing Migrating algorithm optimization algorithm Swarm intelligence Numerical optimization Path planning Drone

来源：评论

学校读者我要写书评

暂无评论

Detecting Lung Cancer Region from CT Image Using Meta-Heuristic Optimized Segmentation Approach

引用

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 2022年第16期36卷 2240001-2240001页

作者： Shakeel, Pethuraj Mohamed Aboobaider, Burhanuddin bin Mohd Salahuddin, Lizawati Binti Univ Tekn Malaysia Fac Informat & Commun Technol Melaka 76100 Malaysia

Lung tumor detection using computer-aided modeling improves the accuracy of detection and clinical recommendation precision. An optimal tumor detection requires noise reduced computed tomography (CT) images for pixel classification. In this paper, the butterfly optimization algorithm-based K-means clustering (BOAKMC) method is introduced for reducing CT image segmentation uncertainty. The introduced method detects the overlapping features for optimal edge classification. The best-fit features are first trained and verified for their similarity. The clustering process recurrently groups the feature matched pixels into clusters and updates the centroid based on further classifications. In this classification process, the uncertain pixels are identified and mitigated in the tumor detection analysis. The best-fit features are used to train local search instances in the BOA process, which influences the similar pixel grouping in the uncertainty detection process. The proposed BOAKMC improves accuracy and precision by 10.2% and 13.39% and reduces classification failure and time by 11.29% and 11.52%, respectively.

关键词： Lung tumor detection CT images segmentation K-means clustering optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Traffic Management using Logistic Regression with Fuzzy Logic

引用

Procedia Computer Science 2018年 132卷 451-460页

作者： Anurag Singh Tomar Mridula Singh Girish Sharma K.V. Arya School of Computer Science University of Petroleum and Energy Studies Dehradun India Department of Computer Science Engineering Uttarakhand Technical University Dehradun India Department of Electronics and Telecommunication College of engineering Roorkee India Department of Master of Computer Application Bhai Parmanand Institute of Business Studies Shakarpur New Delhi India Department of Computer Science Engineering Institute of Engineering and Technology Lucknow India

Traffic congestion is one of the major problems in most of the cities across the globe and it leads to several other problems like pollution, time wastage, long traffic queues on roads and may cause accidents. Improvement of Road infrastructure is not always the feasible solution to resolve the problem. In real life scenario shorter distance route towards the destination attracts majority of people and at times it may aggravate traffic jam conditions. Therefore, a real time traffic information for intelligent decision making to decide the route preference is required. Moreover, a system which considers the factor of distance towards the destination along with real time traffic situation on that route will add to the solution to the congestion problem. certain parameters such as distance, weather condition, road location, day of week and time are considered to formulate the problem and to find solutions to these problems This paper outlines a combination of logistic regression with fuzzy logic such that a smart decision to preferred path can be taken. It is used to compute the probability of each possible path by considering the real time traffic information, distance and road condition and later is used to take decisions in an uncertain scenario. Proposed Method considers the number of parameters like distance, weather condition, road location, day of week and time.

关键词： Logistic regression Traffic management congestion fuzzy logic optimization algorithm fuzzy controller

来源：评论

学校读者我要写书评

暂无评论

Optimizing Urban Electric Vehicle Charging Infrastructure Selection: An Approach Integrating GPS Data, Battery Levels, and Energy Availability

引用

IFAC-PapersOnLine 2024年第13期58卷 392-397页

作者： Meriem Belaid Said El Beid Anas Hatim CISIEV Team Cadi Ayyad University Marrakech 40160 Morocco TIM team Cadi Ayyad University Marrakech 40160 Morocco

This research paper offers a comprehensive exploration of how to enhance the charging infrastructure for Electric Vehicles (EVs) in urban settings. The analysis assesses three hypothetical charging infrastructures in a city, each with generators connected to the national grid and strategically placed AC and DC chargers. The proposed method employs GPS data, EV battery levels, and energy availability across the charging infrastructures. Using an optimization algorithm implemented via the Pandapower Python library, the most appropriate charging infrastructure is identified for individual drivers. The algorithm considers factors such as GPS data and energy availability to suggest the optimal charging station for each EV’s battery level. This pioneering solution aims to streamline the charging process, enhance user experience, and encourage efficient use of urban charging infrastructure for electric vehicles.

关键词： Electric Vehicle (EV) Charging Infrastructure Urban Environments AC Chargers DC Chargers GPS Data Battery Levels optimization algorithm Pandapower Python Library Sustainable Transportation User Experience

来源：评论

学校读者我要写书评

暂无评论

COMPUTATION OF MAXIMIZED GUST LOADS FOR NONLINEAR AIRCRAFT USING MATCHED-FILTER-BASED SCHEMES

引用

JOURNAL OF AIRCRAFT 1993年第5期30卷 763-768页

作者： SCOTT, RC POTOTZKY, AS PERRY, B NASA Langley Research Center Hampton Virginia 23681 Lockheed Engineering and Sciences Company Hampton Virginia 23665

This article describes and illustrates two matched-filter-theory-based schemes for obtaining maximized and time-correlated gust loads for a nonlinear airplane. The first scheme is computationally fast because it uses a simple one-dimensional search procedure to obtain its answers. The second scheme is computationally slow because ft uses a more complex multidimensional search procedure to obtain its answers, but it consistently provides slightly higher maximum loads than the first scheme. Both schemes are illustrated with numerical examples involving a nonlinear control system.

关键词： Mach Number Model Aircraft Nonlinear Control Atmospheric Turbulence Nonlinear Systems optimization algorithm Computing Federal Aviation Administration Linear Quadratic Gaussian Aeroservoelasticity

来源：评论

学校读者我要写书评

暂无评论

Theoretical and experimental analyses and optimizations of direct coupling photovoltaic-thermoelectric systems

引用

ENERGY 2024年 307卷

作者： Xiong, Bowen Zhang, Jiayao Liao, Tianjun Zhao, Ye He, Zhihui Yang, Zhimin Yanan Univ Sch Phys & Elect Informat Yanan 716000 Peoples R China Chongqing Univ Technol Dept Phys & Energy Chongqing 400054 Peoples R China

A photovoltaic-thermoelectric (PV-TE) system is modeled theoretically and demonstrated experimentally. Mathematical formulations of the system are proposed according to energy conservation and finite-time thermodynamics, which can be applicable to analyze and optimize the system that consists of commercial photovoltaic (PV) cells and thermoelectric generators (TEGs). The genetic algorithm is introduced to maximize the system's power by optimizing multiple parameters. In Yan'an City, which is located in the northern Shaanxi Province in northwest China, the actual solar irradiance is recorded for almost a full year and the proposed model is verified. Theoretical and experimental results are analyzed and compared. It is found that there are several independent structure parameters in the PV-TE systems and they should be optimized simultaneously to maximize the performance. The PV-TE system's maximum theoretical average power of 0.343 W is 2.69 % greater than the solo PV cell's maximum theoretical power of 0.334 W. The measured average power of the system of 0.317 W is 0.32 % more than that of a solo PV cell of 0.316 W. The duration of strong lighting in Yan'an City reaches 8 h every day for nearly one year and the irradiation intensity can approach 1000 W/m2. The solar radiance is weakly affected by the seasonal changes of four seasons but is greatly affected by rainy days and cloud thickness. The research findings can serve as a helpful guide for the specific implementation of the PV-TE system and exploitation of solar energy resources in northwest China.

关键词： Photovoltaic-thermoelectric system Theoretical analysis Experimental validation Northwest China optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：