Simulation of the Forage Harvest Cycle for Asset Allocation

2018 ◽  
Vol 34 (2) ◽  
pp. 327-334 ◽  
Author(s):  
Nathan E Dudenhoeffer ◽  
Brian D Luck ◽  
Matthew F Digman ◽  
Jessica L Drewry
Keyword(s):  
Asset Allocation ◽  
Optimal Number ◽  
Harvest Time ◽  
Analysis Model ◽  
Cycle Times ◽  
Global Positioning ◽  
Harvesting Systems ◽  
Silage Production ◽  
Harvest Model ◽  
Machine Work

Abstract. Harvesting corn () for silage requires the coordination of multiple pieces of equipment to ensure rapid and economical production of silage. A model of corn harvest for silage production, capable of predicting machine work states and total harvest time for an entire field, using a single harvester, and any number of specific transport vehicles, as a function of machine specifications and field properties was developed. Three forage harvesting systems were observed using Global Positioning System (GPS) and the collected data used for model validation. The harvest model predicted harvest times within 10% of observed data and yielded similar results to a previously published cycle analysis. Model scenarios were used to explore the effect of differently sized transport vehicles on harvest time and it was found that placing transport vehicles with longer cycle times at the end of the rotation has the potential to reduce harvest time. This model can be used to determine the optimal number of transport vehicles and their dispatch order to reduce total harvest time. Keywords: Cycle analysis, Forage harvesting, Harvesting, Machinery selection, Silage.

scholarly journals Sensitivity Analysis Model Bus Timetabling Problem by Considering Passenger Ease

2019 ◽  
Vol 8 (2S7) ◽  
pp. 11-16
Keyword(s):  
Sensitivity Analysis ◽  
Optimal Number ◽  
Profit Function ◽  
Analysis Model ◽  
Optimal Model ◽  
Timetabling Problem ◽  
Operational Costs ◽  
Bus Scheduling ◽  
Time Table ◽  
Corporate Profits

The optimal Model Bus Timetabling Problem (MBTP) is a simplification of bus scheduling cases where a bus departure schedule with the optimal number of trips will be searched. The optimal number of trips is defined by maximizing the profit function of the bus by considering constraints such as the availability of buses, the executing officers, the number of passengers and the travel time. This model was developed by adding the constraints of ease of passengers in remembering the schedule. The model is then modified and completed using the branch and bound algorithm. The result of the sensitivity analysis to the model shows that the addition of bus or employee by the manager will not be directly proportional to the addition of passengers. So the addition of buses and employees is done when passengers increase. In addition, the addition of constraints ease passengers in reading the time table will make the increase in corporate profits with the consequences of decreased levels of passenger comfort. If the company chooses to improve the comfort of passengers it will affect the increase of the company's operational costs.

CLUSTERING STOCK DATA FOR MULTI-OBJECTIVE PORTFOLIO OPTIMIZATION

2014 ◽  
Vol 13 (02) ◽  
pp. 1450011 ◽  
Author(s):  
NGUYEN CONG LONG ◽  
NAWAPORN WISITPONGPHAN ◽  
PHAYUNG MEESAD ◽  
HERWIG UNGER
Keyword(s):  
Portfolio Optimization ◽  
Portfolio Selection ◽  
Stock Exchange ◽  
Selection Process ◽  
Optimal Number ◽  
Research Field ◽  
Return Rate ◽  
Analysis Model ◽  
Expected Return ◽  
Multi Objective

Portfolio selection is a vital research field in modern finance. Multi-objective portfolio optimization problem is the portfolio selection process that results in the highest expected return rate and the lowest identified risk among the various financial assets. This paper proposes a model that can efficiently suggest a portfolio that is worth investing. First, a cluster analysis model is introduced in order to categorize a huge amount of stock data into several groups based on their associated return rate and the risk. Several validity indexes are used to select the optimal number of clusters/stocks to be included in the portfolio. Finally, the multi-objective genetic algorithm is used to build portfolio optimization with highest return rate and lowest risk. The proposed model is tested on the data obtained from the Stock Exchange of Thailand.

scholarly journals Study and Analysis of Multiconnectivity for Ultrareliable and Low-Latency Features in Networks and V2X Communications

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Alexander Paramonov ◽  
Jialiang Peng ◽  
Dmitry Kashkarov ◽  
Ammar Muthanna ◽  
Ibrahim A. Elgendy ◽  
...  
Keyword(s):  
Probability Of Failure ◽  
Optimal Number ◽  
Low Latency ◽  
Data Delivery ◽  
5G Networks ◽  
Analysis Model ◽  
Equipment Reliability ◽  
Data Rates ◽  
Analysis Of Results ◽  
Minimum Probability

Ultrareliable and low-latency connection (URLLC) is one of the novel features in 5G networks and subsequent generations, in which it targets to fulfill stringent requirements on data rates, reliability, and availability. Moreover, the multiconnectivity concept is introduced to meet these requirements, where multiple different technologies are connected simultaneously, and the data packet is duplicated and transmitted from multiple transmitters. To this end, in this paper, we present an analysis, model, and method to ensure the reliability of data delivery when organizing URLLC in 5G networks. In addition, a new approach based on the organization of multiple connections (multiconnectivity) and duplication of transmitted data is considered. Further, an analytical model is presented for assessing the probability of failure, taking into account the traffic intensity, the probability of failure of elements, and the number of used connections. Moreover, an efficient method is proposed for increasing the reliability of data delivery by optimizing the number of connections. Further, a multiconnectivity-based URLLC model has been built for evaluating the proposed method and verifies that the optimal number of routes for data delivery between the user and the point of service can be obtained, where the probability of losses and equipment reliability are jointly considered. Finally, detailed analysis of results shown that with “equal” routes in terms of load (with an equally probable traffic distribution) and the probability of equipment failure, the optimal number of routes can be found, at which the minimum probability of losses is achieved.

Extending Strategies for Optimal Bucking to Harvesting and Site Preparation

1990 ◽  
Vol 5 (1) ◽  
pp. 12-15
Author(s):  
Eldon D. Olsen ◽  
Steve Pilkerton ◽  
John J. Garland ◽  
John Sessions
Keyword(s):  
Site Preparation ◽  
Handheld Computers ◽  
Cost Functions ◽  
Harvest Time ◽  
Equipment Selection ◽  
Optimization Program ◽  
Matching Market ◽  
Harvesting Systems ◽  
Selection For ◽  
Market Needs

Abstract Optimal bucking strategies can be implemented in the field with powerful handheld computers, not only for matching market needs with logs cut but for addressing other management decisions within the bucking context. Weight limits for various harvesting systems and conditions can be included to assure feasible log sizes. The bucking optimization program can incorporate different cost functions for determining optimal equipment selection for various logging systems. Decisions about which portion of the tree to leave or to remove at harvest time can also be made with the optimal bucking algorithms. Knowledge of the harvesting cost of various levels of slash removal aids in planning slash treatments. West. J. Appl. For. 5(1):12-15.

scholarly journals Accuracy Assessment for points coordinates surveyed using low-cost Unmanned Aerial Vehicle and Global Positioning System with 3Dsurvey and 3DF Zephyr software

2022 ◽  
Vol 961 (1) ◽  
pp. 012046
Author(s):  
A H Hilal ◽  
O Z Jasim ◽  
H S Ismael
Keyword(s):  
Global Positioning System ◽  
Accuracy Assessment ◽  
Low Cost ◽  
Optimal Number ◽  
Bundle Adjustment ◽  
The Other ◽  
Positioning System ◽  
Adjustment Procedure ◽  
Ground Control Points ◽  
Global Positioning

Abstract Ground Control Points GCPs are the only way to obtain accurate positions in aerial surveys. At least three points should be utilized, and the model will get increasingly accurate in X, Y, and Z coordinates as the number rises. The accuracy of the 3D model created from aerial photography is also affected by the arrangement of GCPs. The goal of this research is to determine the optimal number and arrangement of GCPs in order to obtain the lowest possible error in point positioning. A conventional UAV called DJI Mavic 2 pro was used to photograph one and a half square kilometer site at an elevation equal to hundred meters from earth’s surface with nadir camera configuration. GSD (ground sampling distance) of 2.3 centimeters was used to collect 1515 pictures. 62 GCPs were observed in PPK (Post Processing kinematic) method using a DGPS (differential global positioning system) receiver GS 15 from Leica. The study area was split into two areas, one with a straight arrangement of GCPs and the other with a diagonal arrangement of GCPs. The pictures were processed using 3Dsurvey and 3DF Zephyr software utilizing a full bundle adjustment procedure with increasing GCPs number beginning with three GCPs and ending with twenty-six GCPs for both arrangement layout, with the other points serving as check points for the model’s accuracy at each attempt. The check point coordinates obtained were compared to the DGPS coordinates. The result indicates the optimal GCP number needed for the most accurate position and spread layout. That the minimum gap between adjacent GCPs ought to be not over than 100 meters and spread homogenously.

scholarly journals Application of hydrodynamic models in reducing the indeterminacy of the input parameters for underground streams simulation

2007 ◽  
Vol 5 (2) ◽  
pp. 159-175
Author(s):  
Dusko Djuric
Keyword(s):  
Input Data ◽  
Flow Analysis ◽  
Field Research ◽  
Simulation Models ◽  
Optimal Number ◽  
Separate Analysis ◽  
Hydraulic Systems ◽  
Analysis Model ◽  
Water Resource System ◽  
The One

The key issue which arises during the preparation of the input data at modeling of all the hydraulic systems is the one of the sufficient and optimal number of input data. Here, the answer to the question has been found by using the existing research in this field, with the application of GROW software package which simulates the two-dimensional streaming of ground water in the aquifer strata. Thus, the subject of this paper is: N Analysis of the required number of measuring points in order to reduce the indeterminacy down to the level where the further increase of the number of measuring points would not result in the higher quality. N Analysis of the input data indeterminacy propagation through the simulation models. The sample used for the analyses is a part of the water resource system in the aquifer of Semberija, Bosnia and Herzegovina, in the surrounding area of the town of Bijeljina. Apart from the separate analysis of aquifer as a source of groundwater, the paper specially addresses the analysis of the dominant influence of individual indeterminacies and potential for their reduction Initially, the existing data were used, and then the additional existing and input data were collected, and afterwards the results were compared. Since each new quality piece of input data contribute to the reduction of the model and system indeterminacy, for the purpose of this study, the additional observations and field research were organized. On the basis of the additional measuring and observation, groundwater flow analysis model was calibrated.

An Input–Process–Output Model of Pilot Core Competencies

2017 ◽  
Vol 7 (2) ◽  
pp. 78-85 ◽  
Author(s):  
Heikki Mansikka ◽  
Don Harris ◽  
Kai Virtanen
Keyword(s):  
Path Analysis ◽  
Team Performance ◽  
Core Competencies ◽  
Core Competency ◽  
Principal Component ◽  
Analysis Model ◽  
Input Process ◽  
The Core ◽  
Performance Framework ◽  
Process Output

Abstract. The aim of this study was to investigate the relationship between the flight-related core competencies for professional airline pilots and to structuralize them as components in a team performance framework. To achieve this, the core competency scores from a total of 2,560 OPC (Operator Proficiency Check) missions were analyzed. A principal component analysis (PCA) of pilots’ performance scores across the different competencies was conducted. Four principal components were extracted and a path analysis model was constructed on the basis of these factors. The path analysis utilizing the core competencies extracted adopted an input–process–output’ (IPO) model of team performance related directly to the activities on the flight deck. The results of the PCA and the path analysis strongly supported the proposed IPO model.

Optimal Experimental Design With Nesting of Persons in Organizations

2013 ◽  
Vol 221 (3) ◽  
pp. 145-159 ◽  
Author(s):  
Gerard J. P. van Breukelen
Keyword(s):  
Repeated Measures ◽  
Optimal Number ◽  
Health Centers ◽  
Randomized Experiments ◽  
Optimal Sample ◽  
Treatment Conditions ◽  
Sampling Cost ◽  
Nested Designs ◽  
Simple Equations ◽  
Number Of Individuals

This paper introduces optimal design of randomized experiments where individuals are nested within organizations, such as schools, health centers, or companies. The focus is on nested designs with two levels (organization, individual) and two treatment conditions (treated, control), with treatment assignment to organizations, or to individuals within organizations. For each type of assignment, a multilevel model is first presented for the analysis of a quantitative dependent variable or outcome. Simple equations are then given for the optimal sample size per level (number of organizations, number of individuals) as a function of the sampling cost and outcome variance at each level, with realistic examples. Next, it is explained how the equations can be applied if the dependent variable is dichotomous, or if there are covariates in the model, or if the effects of two treatment factors are studied in a factorial nested design, or if the dependent variable is repeatedly measured. Designs with three levels of nesting and the optimal number of repeated measures are briefly discussed, and the paper ends with a short discussion of robust design.

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