On the Non-Optimality of Optimal Procedures

2009 ◽  
pp. 31-46
Author(s):  
Peter J. Huber
Keyword(s):  
Optimal Procedures

scholarly journals UAV MULTISPECTRAL SURVEY TO MAP SOIL AND CROP FOR PRECISION FARMING APPLICATIONS

2016 ◽  
Vol XLI-B1 ◽  
pp. 1023-1029 ◽  
Author(s):  
Giovanna Sona ◽  
Daniele Passoni ◽  
Livio Pinto ◽  
Diana Pagliari ◽  
Daniele Masseroni ◽  
...  
Keyword(s):  
Bare Soil ◽  
Precision Farming ◽  
Surface Model ◽  
Maximum Height ◽  
Test Field ◽  
Scientific Software ◽  
Soil Indices ◽  
Optimal Procedures ◽  
New Sensors ◽  
Water Nutrients

New sensors mounted on UAV and optimal procedures for survey, data acquisition and analysis are continuously developed and tested for applications in precision farming. Procedures to integrate multispectral aerial data about soil and crop and ground-based proximal geophysical data are a recent research topic aimed to delineate homogeneous zones for the management of agricultural inputs (i.e., water, nutrients). Multispectral and multitemporal orthomosaics were produced over a test field (a 100 m x 200 m plot within a maize field), to map vegetation and soil indices, as well as crop heights, with suitable ground resolution. UAV flights were performed in two moments during the crop season, before sowing on bare soil, and just before flowering when maize was nearly at the maximum height. Two cameras, for color (RGB) and false color (NIR-RG) images, were used. <br><br> The images were processed in Agisoft Photoscan to produce Digital Surface Model (DSM) of bare soil and crop, and multispectral orthophotos. To overcome some difficulties in the automatic searching of matching points for the block adjustment of the crop image, also the scientific software developed by Politecnico of Milan was used to enhance images orientation. <br><br> Surveys and image processing are described, as well as results about classification of multispectral-multitemporal orthophotos and soil indices.

scholarly journals UAV MULTISPECTRAL SURVEY TO MAP SOIL AND CROP FOR PRECISION FARMING APPLICATIONS

2016 ◽  
Vol XLI-B1 ◽  
pp. 1023-1029 ◽  
Author(s):  
Giovanna Sona ◽  
Daniele Passoni ◽  
Livio Pinto ◽  
Diana Pagliari ◽  
Daniele Masseroni ◽  
...  
Keyword(s):  
Bare Soil ◽  
Precision Farming ◽  
Surface Model ◽  
Maximum Height ◽  
Test Field ◽  
Scientific Software ◽  
Soil Indices ◽  
Optimal Procedures ◽  
New Sensors ◽  
Water Nutrients

New sensors mounted on UAV and optimal procedures for survey, data acquisition and analysis are continuously developed and tested for applications in precision farming. Procedures to integrate multispectral aerial data about soil and crop and ground-based proximal geophysical data are a recent research topic aimed to delineate homogeneous zones for the management of agricultural inputs (i.e., water, nutrients). Multispectral and multitemporal orthomosaics were produced over a test field (a 100 m x 200 m plot within a maize field), to map vegetation and soil indices, as well as crop heights, with suitable ground resolution. UAV flights were performed in two moments during the crop season, before sowing on bare soil, and just before flowering when maize was nearly at the maximum height. Two cameras, for color (RGB) and false color (NIR-RG) images, were used. &lt;br&gt;&lt;br&gt; The images were processed in Agisoft Photoscan to produce Digital Surface Model (DSM) of bare soil and crop, and multispectral orthophotos. To overcome some difficulties in the automatic searching of matching points for the block adjustment of the crop image, also the scientific software developed by Politecnico of Milan was used to enhance images orientation. &lt;br&gt;&lt;br&gt; Surveys and image processing are described, as well as results about classification of multispectral-multitemporal orthophotos and soil indices.

Green Airport Investments to Mitigate Externalities

2017 ◽  
pp. 231-256 ◽  
Author(s):  
Maria Nadia Postorino ◽  
Luca Mantecchini ◽  
Filippo Paganelli
Keyword(s):  
General Framework ◽  
Green Economy ◽  
Transport Systems ◽  
Global Level ◽  
The Sustainable Development ◽  
Air Transport Industry ◽  
The Status ◽  
Land Consumption ◽  
Optimal Procedures

Transport systems are important pollution sources, mainly in terms of greenhouse gases, noise and land consumption. To mitigate the problem and safeguard airport development at the same time, the involved stakeholders are fixing goals, priorities and duties in order to promote the sustainable development of the air transport industry at global level and the wellness of local communities as well. It is desirable to estimate airport noise and carbon impacts in order to suitably manage them and identify strategies in line with the concept of green economy. In this chapter, a general framework to identify optimal procedures and methods to evaluate the effectiveness of policies addressed to reduce airport impacts on the airport surroundings is proposed. The case study of the airport of Bologna is presented as an example of Transport Company that effectively operates to minimize its noise and carbon impacts. According to the proposed general framework, impacts and estimated costs to achieve the status of green company have been computed.

scholarly journals Multiobjective Scheduling of Remote-Area Employees with Minimum Cost of Transportation

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Hesham K. Alfares
Keyword(s):  
Programming Model ◽  
Optimal Solution ◽  
Minimum Cost ◽  
Transportation Cost ◽  
Solution Procedure ◽  
Primary Objective ◽  
Remote Work ◽  
Optimal Procedures ◽  
Oil Company ◽  
Cost Of Transportation

An integer programming model and optimal solution procedure are presented for assigning employees to the (10, 14) days-off schedule. This schedule is used by a large oil company to schedule employees in remote work locations. The primary objective is to minimize the total number of employees. Since employees are flown to their remote work sites, the company also aims to minimize transportation cost. Therefore, secondary objectives include (1) minimizing the number of active days-off work patterns, (2) consistently using the same set of active days-off patterns, (3) assigning work schedules fairly among employees, and (4) avoiding the use of specialized optimization solvers. A rotation schedule is used in which two scheduling rules are enforced: a minimum proportion of weekend days off needs to be given and a maximum limit on the number of successive workdays cannot be exceeded. Utilizing the problem structure, simple optimal procedures are developed to solve this unique complex scheduling problem.

Professional Profile: Facilitating Research Education to Research-Naïve, Healthcare Professionals

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Sophia Miranda
Keyword(s):  
Primary Outcome ◽  
Healthcare Professionals ◽  
Research Study ◽  
Healthcare Setting ◽  
Human Subject Research ◽  
Research Education ◽  
Clinical Research Coordinator ◽  
Research Coordinator ◽  
Professional Profile ◽  
Optimal Procedures

Having available research education for novice researchers and other healthcare professionals not currently in the field, allows them to gain knowledge of federal regulations and guidelines associated with conducting human subject research in a healthcare setting. Research education also provides optimal procedures to conduct a successful research study. Therefore, the purpose of facilitating the Clinical Research Coordinator (CRC) 101 training to research-naïve healthcare professionals is to further their exposure to the field and expand their knowledge on the foundation of research, theories, design, and methodologies that are used to conduct clinical and social behavioral research. Additionally, there is an end-of-training exam that allows the learner to demonstrate their knowledge on what they learned during the training, to ensure that each learner retains the knowledge given. As a result, the primary outcome to this activity is the knowledge gained by the learner.

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