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Articles 2851 - 2880 of 20200

Full-Text Articles in Engineering

Soft Wheat Quality Parameters Evaluation By Near Infrared Spectroscopy: From Field To Shelf Analysis, Kliton Bylykbashi Jun 2022

Soft Wheat Quality Parameters Evaluation By Near Infrared Spectroscopy: From Field To Shelf Analysis, Kliton Bylykbashi

International Journal of Business and Technology

Near InfraRed Spectroscopy (NIRS) is a powerful tool that is widely applied in agro-food science and technology research for qualitative as well as quantitative analysis. It is one analytical technique that is taking place in this sector due to its low costs, reliability, rapidity and not invasive / non-destructive nature. NIRS along with chemometric modelling can provide accurate assessment of various grain quality attributes and the chemical composition of grain. The present work investigates the ability of using NIRS for the evaluation of different wheat quality parameters by using a portable spectroradiometer working in Visible – Short Wave InfraRed (Vis-SWIR: …

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Development Trends Of Mechatronics, Peter Kopacek Jun 2022

Development Trends Of Mechatronics, Peter Kopacek

International Journal of Business and Technology

Mechatronics is an interdisciplinary field integrating Mechanical Engineering, Electronics, and Computer Science. In this paper are presented the “face” of was changing dramatically over recent years. The complexity of devices and systems has increased dramatically, requiring a system-level approach to mechatronics design. This approach helps engineers to combine mechanical and control design, execute a test easily, and reuse algorithms within the final embedded delivery framework. This trend at system level is fuelled by growing investments in the fields of medical, life sciences and renewable energy as well as developments in industrial machinery. This approach greatly improves the design process by …

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Optimization Of Energy Flow In A Microgrid Application With A Photovoltaic Electricity Supply, Vassil Guliashki Jun 2022

Optimization Of Energy Flow In A Microgrid Application With A Photovoltaic Electricity Supply, Vassil Guliashki

International Journal of Business and Technology

Microgrids can be powered using wind turbines, generators, batteries, or solar panels. In case of emergency, a microgrid provides backup from the main grid in times of crisis like storms or power outages, also it can be used to reduce the energy consumption from the main grid. This paper presents optimization of a battery schedule in a microgrid application when it is used in a grid-connected mode (connected to the main grid) with a photovoltaic electricity supply, battery and inverter. The data used for the problem formulation include the photovoltaic energy production in 24 hours for 3000 houses of California …

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One-Time Pad Cipher (Otp) Use Cases And Simulation Examples For Electronic Financial Transactions, Ana Savic Jun 2022

One-Time Pad Cipher (Otp) Use Cases And Simulation Examples For Electronic Financial Transactions, Ana Savic

International Journal of Business and Technology

This paper presents some applications of One-Time pad (OTP) cipher in business communications and processing the electronic financial transactions. Several simulation models created in the CrypTool, making a mention of the misuse and weaknesses if the same OTP key is used several times, are also given. Some examples of processing an electronic financial transaction through the application of the OTP are proposed.

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Types Of Suturing Materials In Oral Surgery, Biljana Evrosimovska Jun 2022

Types Of Suturing Materials In Oral Surgery, Biljana Evrosimovska

International Journal of Business and Technology

Aim: In everyday surgical practice, different types of suturing materials are available. They play an important role in tissue healing, facilitate the process of hemostasis, enable the reconstruction and reunification of tissue whose integrity has been compromised during surgery or trauma. The aim of this study is to examine the reaction of the tissue to different suturing materials, as well as to determine the speed of wound healing and the incidence of complications after their use, in order to prove which of them is most suitable for oral surgery procedure. Material and methods: These researches were done based on analyzes …

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Can Democratic Subjectivity Be A Way Out Of Recent Crisis Of Democracy? The Case Of Turkey, Erdem Damar Jun 2022

Can Democratic Subjectivity Be A Way Out Of Recent Crisis Of Democracy? The Case Of Turkey, Erdem Damar

International Journal of Business and Technology

Drawing from poststructuralist perspective with a specific emphasis on agonistic democracy, this paper emphasises on the notion of democratic subjectivity as a possible way out of the contemporary crisis of liberal democracy. The two faces of this crisis will be elaborated in the first part. While the crisis of democracy is largely produced by the implementations of conservative, technocratic and capitalist politics that embrace minimalist approaches to democracy by reducing it into a set of rules to govern politics, it also gains visibility to the emergence of a wide range of counter-mobilisations contesting these neoliberal variants. In that respect, post-structuralist …

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Image Center Layout Optimization Method Based On Improved Genetic Algorithm, Zhijie Li, Haoqi Shi, Changhua Li, Jie Zhang Jun 2022

Image Center Layout Optimization Method Based On Improved Genetic Algorithm, Zhijie Li, Haoqi Shi, Changhua Li, Jie Zhang

Journal of System Simulation

Abstract: Aiming at the layout optimization methods of image center being influenced by the subjective factors and low level of automation, a method of combining systematic layout planning(SLP) with the improved genetic algorithm is proposed. The layout scheme generated by SLP improves the initial population of the genetic algorithm and increases the diversity of the initial population. In order to improve the efficiency of optimization, the improved algorithm updates the crossover probability and mutation probability adaptively according to the evolution stages and the fitness value of the individuals. On the basis of the layout area model and multi-objective optimization mathematical …

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Airport Flight Transit Support Time Collaborative Planning Modeling Based On Stn, Bin Chen, Yue Liu, Yalei Yang Jun 2022

Airport Flight Transit Support Time Collaborative Planning Modeling Based On Stn, Bin Chen, Yue Liu, Yalei Yang

Journal of System Simulation

Abstract: Under the constraint of resources, the collaborative planning of airport flight transit support time is one of the effective methods to improve airport operation efficiency. Based on Simple Temporal Network (STN), a planning model of flight transit support time is established. Based on the temporal decoupling, the shortest path matrix simplification, and the distance graph solving of STN task model considering resources, the method of collaborative planning of flight transit support time for airport considering resources is obtained. The comparison results of the simulation and the actual data show that STN task model considering resources can optimize the airport …

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A High Spectral-Efficiency Maritime Very-High-Frequency Communication Technology And Simulation, Xinyu Dou, Xiaohui Chen, Dequn Liang, Bin Lin Jun 2022

A High Spectral-Efficiency Maritime Very-High-Frequency Communication Technology And Simulation, Xinyu Dou, Xiaohui Chen, Dequn Liang, Bin Lin

Journal of System Simulation

Abstract: Marine communications cannot follow the development route on land of developing high frequency resources and high spectral-efficiency modulation technologies in 5G and 6G high-speed communication. The data rate and spectral-efficiency of maritime communications are low and are difficult to be improved. A high spectral-efficiency maritime very-high-frequency (VHF) communication technology based on multi-carrier time-delay overlapping modulation (MC-TDOP) is proposed. The core is delaying the subcarriers in turn and directly overlapping them in time domain. The orthogonality between the subcarriers can be neglected, thus the spectral-efficiency can be further enhanced from the fundamental information modulations. The results show that the proposed …

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Multi-Uavs 3d Path Planning Method Based On Random Strategy Search, Sen Zhang, Mengyan Zhang, Jingping Shao, Jiexin Pu Jun 2022

Multi-Uavs 3d Path Planning Method Based On Random Strategy Search, Sen Zhang, Mengyan Zhang, Jingping Shao, Jiexin Pu

Journal of System Simulation

Abstract: In view of the difficulty of the traditional path planning method without energy consumption constraints to meet the emergency rescue requirements in the complex mountain operation environment, a three-dimensional path planning algorithm for multi-UAVs is proposed based on LSTM-DPPO(long short-term memory-distributed proximal policy optimization) framework. The LSTM long and short-term memory neural network is used to extract the important characteristic state information sequence of the multiple unmanned aerial vehicles in their respective flight process. After repeated iteration and updating, an optimal network parameter model is obtained. Combined with the energy consumption, the optimal 3D detection path is generated. …

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A Hybrid Algorithm Based On Seeker Optimization Algorithm And Salp Swarm Algorithm For Pid Parameters Optimization, Shaomi Duan, Huilong Luo, Haipeng Liu Jun 2022

A Hybrid Algorithm Based On Seeker Optimization Algorithm And Salp Swarm Algorithm For Pid Parameters Optimization, Shaomi Duan, Huilong Luo, Haipeng Liu

Journal of System Simulation

Abstract: Aiming at the premature convergence of seeker optimization algorithm(SOA) during optimizing the global problems, a new SOA-SSA hybrid algorithm based on seeker optimization algorithm and salp swarm algorithm (SSA) is proposed.The SOA-SSA algorithm is based on a double population evolution strategy, in which some individuals of the population are evolved by seeker optimization algorithm and the rest are evolved from salp swarm algorithm. The individuals in SOA and SSA both employ an information sharing mechanism to realize the coevolution. These strategies increase the diversity of the population and avoid the premature convergence. The experimental results show that …

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Multi-Agent Simulation For Online Fresh Food Autonomous Delivery, Miaojia Lu, Chengyuan Huang, Jing Teng Jun 2022

Multi-Agent Simulation For Online Fresh Food Autonomous Delivery, Miaojia Lu, Chengyuan Huang, Jing Teng

Journal of System Simulation

Abstract: Autonomous delivery can solve the last-mile delivery problems of low efficiency, high manual cost, and potential safety hazard. The autonomous delivery of the online fresh food in urban communities is discussed and a data-driven agent-based platform with the actual spatial-temporal demand is built. Three kinds of agents including the autonomous vehicles, customers, and distribution center and the simulation environment based on the actual road network are construct. To achieve the objectives of the minimum total operating costs and maximum customer satisfaction, the different static and dynamic order dispatch strategies and the route planning strategies with the principle of …

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An Unsupervised Deep Neural Network For Image Fusion, Peipei Zhou, Xinglin Hou Jun 2022

An Unsupervised Deep Neural Network For Image Fusion, Peipei Zhou, Xinglin Hou

Journal of System Simulation

Abstract: Due to the low dynamic range of camera, can not be expressed in the different region of the high dynamic scene a single-exposure image. An unsupervised depth neural network is constructed to fuse the multi-exposure images into a high dynamic image. Based on the VGG-Net, encoding and decoding sub-networks are designed. Guided by the structural similarity of the images before and after fusion, a loss function suitable for image fusion is designed by introducing the weight factors based on the local image information, and the valid information of the different input images is given consideration. Compared with the …

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Research And Simulation Of Internet Of Vehicles Task Offloading Based On Mobile Edge Computing, Peng Cheng, Wenzhu Zhang, Shuhan Xie, Zixuan Yang Jun 2022

Research And Simulation Of Internet Of Vehicles Task Offloading Based On Mobile Edge Computing, Peng Cheng, Wenzhu Zhang, Shuhan Xie, Zixuan Yang

Journal of System Simulation

Abstract: In order to use the computing resources of edge devices to provide high-quality services, a joint resource allocation and task offloading mechanism is designed for the Internet of Vehicles architecture based on mobile edge computing. In the mechanism, the original problem is decomposed into two sub-problems of resource allocation and offloading decision. The original problem is simplified into the resource allocation of maximizing system capacity, and the initial offloading set is obtained through the proportional resource allocation algorithm; the above problem is solved by the joint offloading decision-making and resource allocation mechanism. The stable experimental results are obtained …

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Design And Realization Of 6-Dof Parachuting Simulation Training System, Xiaoguang Zhou, Peng Zhu, Yuanyuan Zhang, Huan Lu, Yuan Zhou Jun 2022

Design And Realization Of 6-Dof Parachuting Simulation Training System, Xiaoguang Zhou, Peng Zhu, Yuanyuan Zhang, Huan Lu, Yuan Zhou

Journal of System Simulation

Abstract: Aiming at restoring the 6-DOF motion process of each stage during parachuting, a 6-DOF parachuting simulation training system is designed and implemented. The architecture of the simulator is designed, and the realization of the sub-systems such as the motion calculation, 6-DOF motion platform, control loading system, virtual reality scene, somatosensory system and management console is explained. Compared with the same type of parachute simulator, this system has introduced a 6-DOF motion platform which can drive the trainees to simulate the various postures of parachuting. It can also help the trainees master the control methods of parachute and enhance the …

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Fuzzy Super-Twisting Second Order Sliding Mode Trajectory Tracking Control For Robotic Manipulator, Baolin Du, Dachang Zhu, Yihua Pan Jun 2022

Fuzzy Super-Twisting Second Order Sliding Mode Trajectory Tracking Control For Robotic Manipulator, Baolin Du, Dachang Zhu, Yihua Pan

Journal of System Simulation

Abstract: A fuzzy super-twisting second order sliding mode control method is proposed for the uncertainties of the model error and external disturbance on the trajectory tracking accuracy of robotic manipulator. Based on the dynamic model of the robotic, a new non-singular terminal sliding mode manifold is designed, and an improved super-twisting algorithm is used to design the second order sliding mode controller. In order to solve the problem that the matching disturbance can only be compensated under the condition of the known disturbance boundary in the sliding mode control, the fuzzy logic algorithm is used to carryout the online compensation …

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Vehicle Detection Method Based On Multi Scale Feature Fusion, Yin Wang, Feixiang Wang, Qianlai Sun Jun 2022

Vehicle Detection Method Based On Multi Scale Feature Fusion, Yin Wang, Feixiang Wang, Qianlai Sun

Journal of System Simulation

Abstract: Vehicle detection is the important research content and hotspot in the intelligent transportation. Aiming at the low detection accuracy and poor small-scale recognition effect of the traditional vehicle detection algorithm, an improved detection method based on YOLOv4(you only look once v4) is proposed to improve the detection performance of small target vehicles in traffic scenes. By redesigning the YOLOv4 network, the MobileNetv2 deep separable convolution module is used to replace the traditional convolution, and the convolutional block attention module (CBAM) attention module is integrated into the feature extraction network to ensure the detection accuracy of the model and reduce …

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Application Of Improved Q Learning Algorithm In Job Shop Scheduling Problem, Yejian Zhao, Yanhong Wang, Jun Zhang, Hongxia Yu, Zhongda Tian Jun 2022

Application Of Improved Q Learning Algorithm In Job Shop Scheduling Problem, Yejian Zhao, Yanhong Wang, Jun Zhang, Hongxia Yu, Zhongda Tian

Journal of System Simulation

Abstract: Aiming at the job shop scheduling in a dynamic environment, a dynamic scheduling algorithm based on an improved Q learning algorithm and dispatching rules is proposed. The state space of the dynamic scheduling algorithm is described with the concept of "the urgency of remaining tasks" and a reward function with the purpose of "the higher the slack, the higher the penalty" is disigned. In view of the problem that the greedy strategy will select the sub-optimal actions in the later stage of learning, the traditional Q learning algorithm is improved by introducing an action selection strategy based on the …

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Denoising Algorithm Based On Multi-Feature Non-Local Mean Filtering For Monte Carlo Rendered Images, Kai Yang, Chunyi Chen, Xiaojuan Hu, Haiyang Yu Jun 2022

Denoising Algorithm Based On Multi-Feature Non-Local Mean Filtering For Monte Carlo Rendered Images, Kai Yang, Chunyi Chen, Xiaojuan Hu, Haiyang Yu

Journal of System Simulation

Abstract: Aiming at the rendering noise in Monte Carlo synthesized images induced by the low light-path sampling rate, a denoising algorithm based on the multi-feature non-local-mean filtering is proposed. The gradient image of the scene's albedo information is calculatedwith the canny operator, and a guided filter together with the said gradient image is employed to prefilter the normal vector image. The structural similarity of the sub-blocks in the prefiltered normal vector image is calculated and the improved weights of the non-local mean filter are computed according to the logarithmic value of the reciprocal of the structural similarity. The improved …

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Visual Inspection Model Of Uav Cluster Based On Improved Pigeon Flock Hierarchy, Qi Chen, Haoyang Cui Jun 2022

Visual Inspection Model Of Uav Cluster Based On Improved Pigeon Flock Hierarchy, Qi Chen, Haoyang Cui

Journal of System Simulation

Abstract: Aim at UAV being vulnerable to the environmental interference and the low efficiency of the traditional single-person-UAV model in the transmission line inspection, a visual inspection model for the power line by UAV is proposed based on the improved pigeon flock hierarchy. The initial landmark point of the UAV is generated based on GPS coordinates of the aircraft-carrying vehicle and the tower to be inspected, and the movement trajectory is planned. The return point of the UAV is used to update the initial landmark of onward UAV, which realizes the dynamic handover between the work-exchanging UAV, and the landmark …

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Simulation Method Of Virtual Human Pose Optimization Based On Vr Peripherals, Muqing Wang, Lei Zhang, Xiumin Fan, Xiaomeng Luo, Wenmin Zhu Jun 2022

Simulation Method Of Virtual Human Pose Optimization Based On Vr Peripherals, Muqing Wang, Lei Zhang, Xiumin Fan, Xiaomeng Luo, Wenmin Zhu

Journal of System Simulation

Abstract: The commonly used VR peripheral is the position tracker worn on the operator body and is not very convenient. Focus on the problem, a visual sensor combination-based scheme is proposed to realize the simple and real-time unmarked virtual human driven simulation. On the basis of the parameterized human model SMPL, by minimizing the objective function of multiple error terms, the driven accuracy of the virtual human is improved, and the fitted human body model conforming to the operator form and posture is calculated and the ergonomic evaluation is realized. The module is verified by a case of evaluation in …

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Design Of Interactive Simulated Water Gun Fire Fighting Training System Based On Steam Vr, Cheng Lu, Xuesheng Jin Jun 2022

Design Of Interactive Simulated Water Gun Fire Fighting Training System Based On Steam Vr, Cheng Lu, Xuesheng Jin

Journal of System Simulation

Abstract: In order to save the fire fighting training resources and increase the immersion and experience of VR training, an interactive simulated water gun fire fighting training system based on Steam VR is designed. By using the Hall sensors and signal conversion circuit boards to collect and transmit the signal of the simulated water gun, and by using the Unity3D engine combined with the VIVE head-mounted display to build and present VR fire scene. The gun is controlled through C# programming to complete the interaction with the virtual fire scene. The system is evaluated by a post-questionnaire survey …

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Application Of Observability In Performance Evaluation Of Photosynthesis Model, Hongnai Gao, Lijiang Fu, Qian Xia, Ya Guo Jun 2022

Application Of Observability In Performance Evaluation Of Photosynthesis Model, Hongnai Gao, Lijiang Fu, Qian Xia, Ya Guo

Journal of System Simulation

Abstract: The photochemical reaction of photosynthesis involves a variety of physiological substances that cannot be directly measured. By modeling the control system, the state of these physiological substances can be es-timated based on the chlorophyll fluorescence, but the reliability of the state estimation is not given in all the reference documents. In response to this problem, based on the photochemical reaction kinetic model, the observability of the nonlinear system is introduced to evaluate the reliability of the state estimation. Aiming at the existing observability methods lacking the direct comparability due to the different dimensions of the components of different states, …

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Research On Fire Emergency Evacuation Simulation Based On Cooperative Deep Reinforcement Learning, Lingjia Ni, Xiaoxia Huang, Hongga Li, Zibo Zhang Jun 2022

Research On Fire Emergency Evacuation Simulation Based On Cooperative Deep Reinforcement Learning, Lingjia Ni, Xiaoxia Huang, Hongga Li, Zibo Zhang

Journal of System Simulation

Abstract: The fire accident is a major threat to the public safety, in which the high temperature, toxic and harmful gases seriously interfer the selection of the evacuation routes. Deep reinforcement learning is introduced into the research of emergency evacuation simulation, and a cooperative double deep Q network algorithm is proposed for the multi-agent environment. A fire scene model that changes dynamically over time is established to provide the real-time information on the distribution of the dangerous areas for the evacuation. The independent agent neural networks are integrated and the multi-agent unified deep neural network is established to realize the …

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Multi-Person Interactive Globe System Based On Ar Technology, Yiling Sun, Yi Chen, Guihua Shan, Xiaoxing Li Jun 2022

Multi-Person Interactive Globe System Based On Ar Technology, Yiling Sun, Yi Chen, Guihua Shan, Xiaoxing Li

Journal of System Simulation

Abstract: The characteristic of multi-source, high-dimensional, time-varying and massive of the Earth big data is difficult to be understood and analyzed. Aiming at this problem and for the science popularization needs, an AR-based multi-person interactive globe system is proposed and implemented. A system architecture integrating AR technology is proposed to realize the seamless overlay combination effect of the virtual information and the physical globe. A data visualization display scheme is designed to realize the visualization of the Earth big data in three-dimensional space. A lightweight multi-person multi-terminal collaboration mechanism is proposed to improve the practicality and interestingness of the system. …

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Simulation Of Multi-Layer Ship Evacuation System Based On Improved A* Algorithm, Dun Meng, Zhuo Hu, Huajun Zhang Jun 2022

Simulation Of Multi-Layer Ship Evacuation System Based On Improved A* Algorithm, Dun Meng, Zhuo Hu, Huajun Zhang

Journal of System Simulation

Abstract: Aiming at the low efficiency of emergency evacuation at sea, an emergency evacuation system based on improved A* algorithm is proposed. Based on the network flow model, the traversal mode of the adjacency node is used to complete the path search, and the influence of the path personnel density and path obstacles is added to the calculation of the cost, which makes the algorithm more practical. In order to improve the efficiency of the algorithm, the node optimization of the network is carried out, and a multi-path optimal scheme is proposed in the case of single layer with multiple …

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Why We Should Reuse Wastewater, Bridget Sarver Jun 2022

Why We Should Reuse Wastewater, Bridget Sarver

Certified Public Manager® Applied Research

As population and industry grow, the need to reuse wastewater is growing. Aquifers are often the dominant water supplies to surrounding areas. The levels of those aquifers are declining each year. Water loss affects many things like water wells, lakes, and rivers. Lakes and rivers that are used as water sources are seeing a decline in levels. Low water levels and drought occur because of the changing water cycle. Heavy rain and runoff can help refill lakes and rivers; however precipitation does not always fall back on the area that it evaporated from. By reusing wastewater, we will be saving …

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A Simplified Model For The Intermediate Structure Of Strong Fire Whirls, Forman A. Williams Jun 2022

A Simplified Model For The Intermediate Structure Of Strong Fire Whirls, Forman A. Williams

Progress in Scale Modeling, an International Journal

A model is described for the overall structure of intense fire whirls, based on a spatially evolving vortex, with circulation enhancement driven by the axial acceleration of low-density gas in the core through the axial pressure gradient. The axial acceleration increases the entrainment rate into the core which, through mass conservation, increases the circulation if the angle between the tangential and radial velocity components remains fixed. The two-zone model employs general balance equations for regions inside and outside a cylinder of fixed radius, each inviscid, the inside region being presumed to have a constant density small compared with the (constant) …

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A Jesuit Way Of Innovating?, Lanny Vincent Jun 2022

A Jesuit Way Of Innovating?, Lanny Vincent

Jesuit Higher Education: A Journal

Innovation and entrepreneurship (I&E) initiatives have taken root in colleges and universities over the past several decades. I&E centers, relatively commonplace on campuses in the United States, are now sprouting up in European universities. I&E initiatives are not confined to centers or business schools, but extend throughout curricular, co-curricular and extra-curricular efforts in schools of engineering and colleges of arts and sciences. Can and should these initiatives at Jesuit universities and colleges have a distinctive different in their orientation and approach? The following inquiry explores this potential by looking more closely at where and how STEM-based innovating, entrepreneurship and Jesuit …

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العلاقة بين معدل التضخم ومعدل البطالة في مناطق السلطة الوطنية الفلسطينية دراسة قياسية للفترة (1997- 2019م), Jalal Sheikhalid Jun 2022

العلاقة بين معدل التضخم ومعدل البطالة في مناطق السلطة الوطنية الفلسطينية دراسة قياسية للفترة (1997- 2019م), Jalal Sheikhalid

Palestine Technical University Research Journal

This study discusses the problems of both unemployment and inflation in the areas of the Palestinian National Authority, compare with the West Bank and the Gaza Strip separately, during the period (1997-2019). This study aims to show the strength of connection between unemployment and inflation in whole Palestinian economy, and the economy of both the West Bank and Gaza Strip, separately, highlighting the results of the most important statistical tests (F, T, DW, ARCH, LM, Godfrey Breusch-Pagan, White) between unemployment and inflation in the Palestinian economy as one unit, compared to the economies of the West Bank and Gaza Strip …

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