scholarly journals Robust Airport Gate Assignment Based on the Analysis of Flight Arrival Time

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Caimao Tan ◽  
Junliang He
Keyword(s):  
Evaluation Method ◽  
Arrival Time ◽  
Operating Cost ◽  
Hybrid Genetic Algorithm ◽  
Cost Savings ◽  
Objective Evaluation ◽  
The Sustainable Development ◽  
Emergency Situations ◽  
Gate Assignment ◽  
Hub Airport

At present, hub airport is facing a lot of emergency situations, e.g., the management of irregular flight, which affects the sustainable development of the airport. Most of the methods for evaluating the robustness of airport gate assignment have been proposed by giving an independent evaluation function based on their experience, and thus, subjective factors are involved in varying degrees. Therefore, this paper puts forward an objective evaluation method based on the analysis of airport flight arrival, which gives a digital transformation strategy for the airport resource scheduling. A novel evaluation method based on data analysis of flight arrival time, and a mathematical model are formulated accordingly. In order to solve the proposed NP-hard problem, a new hybrid genetic algorithm combined with a heuristic algorithm is designed. In numerical experiments, the actual flight data of an international hub airport are used to analyze and verify the effectiveness of the proposed method. The results showed the advantages in scheme stability, operating cost savings, and risk reduction of the proposed method.

Das rupturierte infrarenale Aortenaneurysma – eine kritische Analyse

VASA ◽  
1999 ◽  
Vol 28 (1) ◽  
pp. 30-33 ◽  
Author(s):  
Bürger ◽  
Meyer ◽  
Tautenhahn ◽  
Halloul
Keyword(s):  
Aortic Aneurysm ◽  
Aortic Rupture ◽  
Anesthetic Management ◽  
Objective Evaluation ◽  
Left Ventricular ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Infrarenal Aortic Aneurysm ◽  
Emergency Situations ◽  
Probability Of Death

Background: Objective evaluation of the management of patients with ruptured infrarenal aortic aneurysm in emergency situations has been described rarely. Patients and methods: Fifty-two consecutive patients with ruptured infrarenal aortic aneurysm (mean age, 70.3 years; range, 56–89 years; SD 7.8) were admitted between January 1993 and March 1998. Emergency protocols, final reports, and follow-up data were analyzed retrospectively. APACHE II scores at admission and fifth postoperative day were assessed. Results: The time between the appearance of first symptoms and the referral of patients to the hospital was more than 5 hours in 37 patients (71%). Thirty-eight patients (71%) had signs of shock at time of admission. Ultrasound was performed in 81% of patients as the first diagnostic procedure. The most frequent site of aortic rupture was the left retroperitoneum (87%). Intraoperatively, acute left ventricular failure occurred in four patients, and cardiac arrest in two others. The postoperative course was complicated significantly in 34 patients. The overall mortality rate was 36.5% (n = 19). In 35 patients, APACHE II score was assessed, showing a probability of death of more than 40% in five patients and lower than 30% in 17 others. No patient showing probability of death of above 75% at the fifth postoperative day survived (n = 7). Conclusions: Ruptured aortic aneurysm demands surgical intervention. Clinical outcome is also influenced by preclinical and anesthetic management. The severity of disease as well as the patient’s prognosis can be approximated using APACHE II score. Treatment results of heterogenous patient groups can be compared.

scholarly journals A multi-objective evaluation method based on connection numbers theory of hazardous chemical accidents emergency medical rescue capability

2019 ◽  
Vol 27 (3) ◽  
pp. 125-133
Author(s):  
Yapeng Wang ◽  
Jinguo Zhang ◽  
Yundou Wang ◽  
Xiaowen Xiong ◽  
Xin Zhao
Keyword(s):  
Index System ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Objective Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Chemical Accidents ◽  
Hazardous Chemical ◽  
Emergency Medical ◽  
Partial Connection

Background: An objective, comprehensive and scientific evaluation of emergency medical rescue capability (EMRC) is of great realistic significance in assisting the health administrative department to grasp the overall response capability of all emergency medical rescue teams, enabling each team to have a full understanding of its own strengths and weakness and improve itself accordingly. At present, the research on the evaluation of EMRC in Hazardous Chemicals Accidents (HCA) is not systematic and in-depth, and the existing research results also have some shortcomings, such as, the lack of strong theoretical support for the evaluation index system, the relatively single function of evaluation methods, and so on. Objectives: The objective of this article is to research the evaluation index system and a new evaluation method of EMRC in HCA to overcome the above shortcomings. Methods: It establishes an emergency medical rescue capability model by employing the competency model and then constructs the evaluation index system on the basis of the analysis of all the factors of emergency medical rescue capability in hazardous chemical accidents and sets up an evaluation model based on the theory of connection numbers and partial connection numbers. It determines the competence ranking of several emergency medical rescue teams and the competence state of an individual emergency medical rescue team by calculating the connection principal value, and it also predicts how the emergency medical rescue capability will develop based on the values of partial connection numbers. Results: The example shows that the calculation process of this model is relatively simple, and its assessment results are objective and authentic, and moreover, its multi-functions can make up for the deficiency of the simplified function of other evaluation models. Conclusion: This method is scientific and rational to some extent and can provide reference for evaluation problems of the same kind.

Seawater Scrubbing for the Removal of Sulfur Dioxide in a Steam Turbine Power Plant

2005 ◽  
Author(s):  
Akili D. Khawaji ◽  
Jong-Mihn Wie
Keyword(s):  
Power Plant ◽  
Sulfur Dioxide ◽  
Steam Turbine ◽  
Flue Gas ◽  
Operating Cost ◽  
Cooling Water ◽  
Cost Savings ◽  
Fuel Oil ◽  
So2 Emissions ◽  
Heavy Fuel Oil

The most popular method of controlling sulfur dioxide (SO2) emissions in a steam turbine power plant is a flue gas desulfurization (FGD) process that uses lime/limestone scrubbing. Another relatively newer FGD technology is to use seawater as a scrubbing medium to absorb SO2 by utilizing the alkalinity present in seawater. This seawater scrubbing FGD process is viable and attractive when a sufficient quantity of seawater is available as a spent cooling water within reasonable proximity to the FGD scrubber. In this process the SO2 gas in the flue gas is absorbed by seawater in an absorber and subsequently oxidized to sulfate by additional seawater. The benefits of the seawater FGD process over the lime/limestone process and other processes are; 1) The process does not require reagents for scrubbing as only seawater and air are needed, thereby reducing the plant operating cost significantly, and 2) No solid waste and sludge are generated, eliminating waste disposal, resulting in substantial cost savings and increasing plant operating reliability. This paper reviews the thermodynamic aspects of the SO2 and seawater system, basic process principles and chemistry, major unit operations consisting of absorption, oxidation and neutralization, plant operation and performance, cost estimates for a typical seawater FGD plant, and pertinent environmental issues and impacts. In addition, the paper presents the major design features of a seawater FGD scrubber for the 130 MW oil fired steam turbine power plant that is under construction in Madinat Yanbu Al-Sinaiyah, Saudi Arabia. The scrubber with the power plant designed for burning heavy fuel oil containing 4% sulfur by weight, is designed to reduce the SO2 level in flue gas to 425 ng/J from 1,957 ng/J.

Research on commercial vehicle sound quality objective evaluation

2021 ◽  
Vol 263 (2) ◽  
pp. 4526-4531
Author(s):  
Kun Qian ◽  
Zhichao Hou ◽  
Ruixue Liu ◽  
Dengke Sun ◽  
Rongkang Luo
Keyword(s):  
Evaluation Method ◽  
Commercial Vehicle ◽  
Objective Evaluation ◽  
Sound Quality ◽  
Subjective Perception ◽  
Commercial Vehicles ◽  
Comfort Evaluation ◽  
Quality Design ◽  
Increasing Demand ◽  
And Control

With the increasing demand of users for the acoustical comfort of commercial vehicles, the sound quality has become one of the important indicators of comfort evaluation. The research focuses on the objective evaluation method of the subjective perception of the sound quality in commercial vehicle. The interior noises of commercial vehicle with an inline six diesel engine are measured. The five psychoacoustic parameters (loudness, roughness, sharpness, fluctuation strength, tonality and articulation index) are applied to the evaluation and analysis of the interior noises of the commercial vehicle. Using psychoacoustic parameters to evaluate the noises in commercial vehicle, it is of great significance for the analysis and control of the noises in commercial vehicle. The research results provide a theoretical basis for guiding the sound quality design and development of commercial vehicles.

scholarly journals Optical Camouflage Effect Objective Evaluation Method Research Under The Condition of Complex Backgrounds

2016 ◽  
Vol 61 ◽  
pp. 06013 ◽  
Author(s):  
Jianfei Qin ◽  
Liyong Qu ◽  
Liyan Zhu ◽  
Jianghua Hu ◽  
Shuwei Song
Keyword(s):  
Evaluation Method ◽  
Objective Evaluation

The sensitivity of economic gains from high-speed planting

2017 ◽  
Vol 8 (2) ◽  
pp. 662-667
Author(s):  
C. R. Dillon ◽  
J. Shockley ◽  
T. Mark
Keyword(s):  
Optimization Model ◽  
Technological Progress ◽  
High Speed ◽  
Operating Cost ◽  
Cost Savings ◽  
Variable Rate ◽  
Net Returns ◽  
Variable Rate Application ◽  
Technology Changes ◽  
Profit Potential

Recent technological progress in high-speed planting (HSP) warrants economic analysis of its potential. A whole farm optimization model of a 1000 ha Kentucky, USA corn and soybean operation finds that operating cost savings (labor, fuel, tractor repairs) and yield increases couple in recovering annual ownership costs of HSP technology. Changes in farm net returns are positive for all 12-row planter scenarios and all double speed cases for the 16-row planter but not for a 50% increase in speed with the 16-row planter. The greatest profit potential occurred when adopting the combination of HSP and variable rate application (VRA), with increased net returns of up to 6.57% compared to conventional speed no VRA for the 12-row planter.

scholarly journals Optimum Energy Flow Management of a Grid-Tied Photovoltaic-Wind-Battery System considering Cost, Reliability, and CO2 Emission

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Meryeme Azaroual ◽  
Mohammed Ouassaid ◽  
Mohamed Maaroufi
Keyword(s):  
Greenhouse Gas Emission ◽  
Storage System ◽  
Operating Cost ◽  
Cost Savings ◽  
Substantial Effect ◽  
Energy Management Strategy ◽  
Optimum Energy ◽  
Ghg Reduction ◽  
Reliable Model ◽  
Cover Ratio

The main goal of this paper is to explore the performance of a residential grid-tied hybrid (GTH) system which relies on economic and environmental aspects. A photovoltaic- (PV-) wind turbine- (WT-) battery storage system with maximizing self-consumption and time-of-use (ToU) pricing is conducted to examine the system efficiency. In so doing, technical optimization criteria with taking into consideration renewable energy benefits including feed-in-tariff (FIT) and greenhouse gas emission (GHG) reduction are analyzed. As the battery has a substantial effect on the operational cost of the system, the energy management strategy (EMS) will incorporate the daily operating cost of the battery and the effect of the degradation. The model can give the opportunity to the network to sell or purchase energy from the system. The simulation results demonstrate the effectiveness of the proposed approach in which the new objective function achieves the maximum cost-saving (99.81%) and income (5.16 $/day) compared to other existing strategies as well as the lowest GHG emission. Furthermore, the battery enhances the best daily self-consumption and load cover ratio. Then, as the model is nonlinear, a comparison with other existing algorithms is performed to select the feasible, robust, and reliable model for the residential application. A hybrid algorithm (HGAFMINCON) is developed to demonstrate the superiority of the algorithm over FMINCON and GA shown in terms of cost savings and income.

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