Systems analysis of airport parking facilities

1978 ◽  
Vol 5 (3) ◽  
pp. 391-402
Author(s):  
Michel A. Sargious ◽  
Harvey E. Olsen
Keyword(s):  
Dynamic Programming ◽  
Systems Analysis ◽  
Systems Approach ◽  
Point Of View ◽  
Relative Importance ◽  
Planning Tool ◽  
Terminal Complex ◽  
Programming Technique ◽  
Multi Stage ◽  
Parking Facilities

In this study, a multi-stage systems approach has been discussed for implementation to planning of airport parking facilities. Six objectives were selected for comparing alternatives. Two sets of questionnaires were distributed to identify the relative importance of the objectives and the degree to which they are satisfied by the alternatives from the point of view of users and planners. A computer program, based on dynamic programming technique, was used in evaluating the alternatives and searching for the ones that are most effective in satisfying the objectives.The technique was tested, using actual data for the proposed parking facility of the new Air Terminal Complex, Calgary International Airport. The results show the applicability of the method and its usefulness as a planning tool. The actual alternative implemented at Calgary Airport, independent of this study, ranked second according to this analysis.

Optimal Scheduling of Compressors Considering Linepack Storage in a Pipeline Network

2013 ◽  
Vol 331 ◽  
pp. 271-276
Author(s):  
Gong Tao Wang ◽  
Chen Zheng ◽  
Abed Halimah
Keyword(s):  
Dynamic Programming ◽  
Complex Systems ◽  
State Transition ◽  
Storage Capacity ◽  
Point Of View ◽  
Optimal Scheduling ◽  
Power Calculation ◽  
Pipeline Network ◽  
Multi Stage ◽  
Data Constraints

This paper presents an algorithm using dynamic programming to solve the problem of opitimal scheduling of compressors considering the linepack storage in a pipeline network. Both centrifugal and piston compressors are modelled for power calculation. For a forecast profile of gas loads, a multi-stage problem is formed by discretizing the storage capacity of linepack and tank along the timeline, and then is solved by a dynamic programming to obtain optimal day-ahead schedules for each compressor. While creating the multi-stage data, constraints on compressors, stations (sources), and pipeline network are utilized to exclude infeasible paths, avoiding dimension disaster and ensuring the feasibility of the paths from the point of view of state transition. Case studies have been done on both simple and complex systems, and the results indicate the practicability of the proposed algorithm.

EFFECTIVE DYNAMIC PROGRAMMING ALGORITHMS

2020 ◽  
pp. 3-11
Author(s):  
D. A. Karpov ◽  
V. I. Struchenkov
Keyword(s):  
Dynamic Programming ◽  
Optimal Solution ◽  
Optimization Method ◽  
Point Of View ◽  
Theoretical Point ◽  
Regular Grid ◽  
Multi Stage ◽  
Effective Dynamic ◽  
Programming Algorithms ◽  
Two Parameter

This article is devoted to the analysis of the possibilities of increasing the speed of dynamic programming algorithms in solving applied problems of large dimension. Dynamic programming is considered rather than as an optimization method, but as a methodology that allows developing, from a single theoretical point of view, algorithms for solving problems that can be formalized in the form of multi-stage (multi-step) processes in which similar tasks are solved at all steps. It is shown that traditional dynamic programming algorithms based on preliminary setting of a regular grid of states are ineffective, especially if the parameters defining the states are not integer. The problems are considered, in the solution of which it is advisable to build a set of states in the process of counting, moving from one stage to another. Additional conditions are formulated that must be satisfied by the problem so that deliberately hopeless states do not fall into sets of states at each step. This ensures the rejection of not only the paths leading to each of the states, as in traditional dynamic programming algorithms, but also the unpromising states themselves, which greatly increases the efficiency of dynamic programming. Examples of applied problems are given, for the solution of which traditional dynamic programming algorithms were previously proposed, but which can be more efficiently solved by the proposed algorithm with state rejection. As applied to two-parameter problems, the concrete examples demonstrate the effectiveness of the algorithm with rejecting states in comparison with traditional algorithms, especially with increasing the dimension of the problem. An applied problem is considered, in the solution of which dynamic programming is used to construct recurrent formulas for calculating the optimal solution without enumerating options at all.

The role of graining in ensuring food security

2020 ◽  
pp. 75-79
Author(s):  
R. M. Gambarova
Keyword(s):  
Food Security ◽  
Comparative Analysis ◽  
Systems Approach ◽  
Point Of View ◽  
Government Support ◽  
Grain Production ◽  
The Government ◽  
Favorable Conditions ◽  
Grain Farms

Relevance. Grain is the key to strategic products to ensure food security. From this point of view, the creation of large grain farms is a matter for the country's selfsufficiency and it leading to a decrease in financial expense for import. Creation of such farms creates an abundance of productivity from the area and leads to obtaining increased reproductive seeds. The main policy of the government is to minimize dependency from import, create abundance of food and create favorable conditions for export potential.The purpose of the study: the development of grain production in order to ensure food security of the country and strengthen government support for this industry.Methods: comparative analysis, systems approach.Results. As shown in the research, if we pay attention to the activities of private entrepreneurship in the country, we can see result of the implementation of agrarian reforms after which various types of farms have been created in republic.The role of privateentrepreneurshipinthedevelopmentofproduction is great. Тhe article outlines the sowing area, production, productivity, import, export of grain and the level of selfsufficiency in this country from 2015 till 2017.

scholarly journals A Systems Analysis of Small-Holder Agriculture. A Systems Approach to Mechanisation

1977 ◽  
Vol 10 (14) ◽  
pp. 545-557
Author(s):  
G. Muchiri ◽  
M.M. Shah ◽  
J.B. Holtman
Keyword(s):  
Systems Analysis ◽  
Systems Approach ◽  
Small Holder

Evaluation of health system in Iraq from people's point of view: a comparative study of two different eras

2021 ◽  
Vol 4 (2) ◽  
pp. 380-387
Author(s):  
Saad Ahmed Ali Jadoo ◽  
Adil H. Alhusseiny ◽  
Shukr Mahmood Yaseen ◽  
Mustafa Ali Mustafa Al-Samarrai ◽  
Anmar Shukur Mahmood
Keyword(s):  
Health System ◽  
Health Sector ◽  
Health Resources ◽  
Sampling Technique ◽  
Point Of View ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Current Health ◽  
Multi Stage ◽  
Geographical Regions

Background: Since the 2003 United States–British Coalition military invasion, Iraq has been in a state of continuous deterioration at all levels, including the health sector. This study aimed to elicit the viewpoints of the Iraqi people on the current health system, focusing on many provided health services and assessing whether the public prefers the current health system or that was provided before the invasion. Methods: A cross-sectional survey designed to explore the Iraqi people’s opinions on their health system. A self-administered questionnaire using a multi-stage sampling technique was distributed in five geographical regions in Iraq to collect the data from the head of household between 1st October and 31st of December 2019. Multiple logistic regressions were recruited to determine the significant contributing variables in this study. Results: A total of 365 heads of households (response rate: 71.7%) with the mean age of 48.36 + 11.92 years (ranged 35-78) included in the study. Most of the respondents (61.4%) complained of healthcare inaccessibility, 59.7% believed that health resources were not available, 53.7% claimed a deterioration in the quality of care, and 62.2% believed that the political / media position did not contribute to positive changes during the past two decades. Indeed, most respondents (66.0%) believe that the current healthcare system is worse than before. In the multivariate analysis, there was a statistically significant relationship between the characteristics and opinions of the respondents. Young age group (p = 0.003), men (p = < 0.001), unmarried (p = 0.001), high educated (p = < 0.001), rural resident (p = < 0.001), unemployed (p = 0.003), monthly income of less than USD 400 (p = < 0.001), consider themselves to be unhealthy (p = 0.001),  and those who think that people are unhappy now than two decades ago (p = 0.012) have a more negative opinion of the health system. Conclusions: Most Iraqis surveyed expressed disappointment from the health system after the 2003 US-led invasion. The current health system is faltering at all levels and does not meet the citizens' basic needs. Health Transformation Program (HTP) has become inevitable to develop an accessible, affordable, high-quality, efficient, and effective health system.

A Dynamic Dyadic Systems Approach to Interpersonal Communication

2021 ◽  
Author(s):  
Denise Haunani Solomon ◽  
Miriam Brinberg ◽  
Graham D Bodie ◽  
Susanne Jones ◽  
Nilam Ram
Keyword(s):  
Interpersonal Communication ◽  
Systems Analysis ◽  
Time Series Data ◽  
Systems Approach ◽  
Dynamic Structure ◽  
Relevant Information ◽  
Dyadic Interaction ◽  
Series Data ◽  
Conversational Units ◽  
Dyadic Systems

Abstract This article articulates conceptual and methodological strategies for studying the dynamic structure of dyadic interaction revealed by the turn-to-turn exchange of messages between partners. Using dyadic time series data that capture partners’ back-and-forth contributions to conversations, dynamic dyadic systems analysis illuminates how individuals act and react to each other as they jointly construct conversations. Five layers of inquiry are offered, each of which yields theoretically relevant information: (a) identifying the individual moves and dyadic spaces that set the stage for dyadic interaction; (b) summarizing conversational units and sequences; (c) examining between-dyad differences in overall conversational structure; (d) describing the temporal evolution of conversational units and sequences; and (e) mapping within-dyad dynamics of conversations and between-dyad differences in those dynamics. Each layer of analysis is illustrated using examples from research on supportive conversations, and the application of dynamic dyadic systems analysis to a range of interpersonal communication phenomena is discussed.

scholarly journals Dynamic Operation Management of a Renewable Microgrid including Battery Energy Storage

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Shaozhen Jin ◽  
Zhizhong Mao ◽  
Hongru Li ◽  
Wenhai Qi
Keyword(s):  
Dynamic Programming ◽  
Energy Storage ◽  
Renewable Energy Sources ◽  
Main Idea ◽  
Optimal Operation ◽  
Optimal Control Strategy ◽  
Programming Technique ◽  
Battery Energy Storage ◽  
Comparison Results ◽  
Battery Energy

In this paper, a novel dynamic programming technique is presented for optimal operation of a typical renewable microgrid including battery energy storage. The main idea is to use the scenarios analysis technique to proceed the uncertainties related to the available output power of wind and photovoltaic units and dynamic programming technique to obtain the optimal control strategy for a renewable microgrid system in a finite time period. First, to properly model the system, a mathematical model including power losses of the renewable microgrid is established, where the uncertainties due to the fluctuating generation from renewable energy sources are considered. Next, considering the dynamic power constraints of the battery, a new performance index function is established, where the Lagrange multipliers and interior point method will be presented for the equality and inequality operation constraints. Then, a feedback control scheme based on the dynamic programming is proposed to solve the model and obtain the optimal solution. Finally, simulation and comparison results are given to illustrate the performance of the presented method.

scholarly journals A dynamic alignment algorithm for imperfect speech and transcript

2010 ◽  
Vol 7 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Ye Tao ◽  
Li Xueqing ◽  
Wu Bian
Keyword(s):  
Dynamic Programming ◽  
Boundary Detection ◽  
Multimedia Content ◽  
Alignment Algorithm ◽  
Optimal Alignment ◽  
Multi Stage ◽  
Sentence Level ◽  
Sentence Boundary ◽  
English Training ◽  
Dynamic Alignment

This paper presents a novel alignment approach for imperfect speech and the corresponding transcription. The algorithm gets started with multi-stage sentence boundary detection in audio, followed by a dynamic programming based search, to find the optimal alignment and detect the mismatches at sentence level. Experiments show promising performance, compared to the traditional forced alignment approach. The proposed algorithm has already been applied in preparing multimedia content for an online English training platform.

Sign in / Sign up

Export Citation Format

Share Document