Optimization of infrastructure projects parameters in the program

The object of research is infrastructure projects as part of the program. The products of infrastructure projects are various infrastructural objects that together provide a certain value for stakeholders, for example, a certain bandwidth of the transport network or the capacity of a port, channel, etc. Identification of the parameters of project products is carried out at the stage of program development. For most projects, these parameters allow for variability within certain limits. The interconnection of infrastructure projects is determined not only by general financing and management, but, above all, by the consistency of the properties of goods. Therefore, the optimization of the parameters of the products of such projects is carried out integrally, within a single model. Coordination of the parameters of the products of infrastructure projects as part of the program requires formalized methods that allow them to be optimized taking into account both local constraints for each project and the global conditions for implementing the program. As a result of the study, a concept has been formed and an appropriate model has been developed, which allows setting the optimal parameters of the products of infrastructure projects as part of the program. Modeling is based on the ability to vary the parameters of project products and their relationship with the characteristics of projects and the program as a whole, such as value, costs, and the magnitude of risks. Since the program and the projects included in it can be of a non-commercial nature, therefore, the main criterion of optimality for the parameters of the products of projects and programs is a universal category – value, and it is considered for all stakeholders. The use of this model in the development of the program and the infrastructure projects included in it ensures the optimization of the required result while meeting certain requirements and limiting conditions. The model belongs to the class of nonlinear models and is developed for a situation where a so-called «main» project (or their combination) can be distinguished, which form(s) the requirements for the products of other projects interconnected with it, which is typical for infrastructure programs.

Download Full-text

ON THE POSSIBILITY OF MARKING EGGS WITH A CO2 LASER

Environment Technology Resources Proceedings of the International Scientific and Practical Conference ◽

10.17770/etr2021vol3.6625 ◽

2021 ◽

Vol 3 ◽

pp. 168-172

Author(s):

Lyubomir Lazov ◽

Pēteris Čeirs ◽

Imants Adijans

Keyword(s):

Processing Speed ◽

Food Industry ◽

Laser System ◽

Expiration Date ◽

Optimal Parameters ◽

Main Criterion ◽

Technological Parameters ◽

Laser Marking ◽

Safety Issues ◽

Chicken Eggs

A number of policies and standards regarding food safety issues and quality management have been established for the food industry. One of these requirements is related to the marking of food products describing the expiration date, content and quality. The report examines the possibility of using laser technology to mark chicken eggs. The contrast of the laser marking is the main criterion for determining its quality. The study examines the functional dependences of the contrast on the main technological parameters of the marking process: laser output power (7 – 20.3 W) and processing speed (50 - 300 mm/s). As a result of the research, optimal parameters for marking with a technological laser system CO2 have been determined.

Download Full-text

Technique for the design of forest transport network in terms of multiple use of forest.

Известия СПбЛТА ◽

10.21266/2079-4304.2016.216.43-57 ◽

2016 ◽

Author(s):

И.А. Громов ◽

Н.А. Тюрин

Keyword(s):

Economic Model ◽

Transportation Network ◽

Economic Feasibility ◽

Transport Network ◽

Optimal Parameters ◽

Multiple Use ◽

Forest Land ◽

Buffer Zones ◽

The Individual ◽

Forest Rent

Проектирование лесной транспортной сети в условиях многоцелевого использования лесов требует наличия специальной методики, учитывающей особенности данных условий. Предметом исследования является методика проектирования лесной транспортной сети в условиях многоцелевого использования лесов. Цель - раскрытие сущности данной методики и связанных с ней вопросов. Предложенная методика основывается на двух составляющих. Первой составляющей является методика оптимизации размещения лесной транспортной сети. Оптимизация размещения осуществляется на основании оптимальных параметров сети, определяемых по критерию минимума суммарных удельных затрат на осуществление комплекса мероприятий по лесоосвоению. Она заключается в выявлении лесных участков, нуждающихся в транспортном освоении, которое осуществляется с использованием геоинформационных систем методом создания и анализа буферных зон. Приводится описание математической модели оптимизации параметров лесотранспортной сети. Данная модель не учитывает индивидуальных особенностей конкретных лесных участков и не отражает экономической целесообразности их освоения, что требует применение особого метода. Второй составляющей методики проектирования является методика создания экономической модели местности, отражающей пространственное распределение лесной ренты по осваиваемой территории. Приводятся математические зависимости, на основании которых определяются показатели лесной ренты для каждого осваиваемого лесного участка. Экономическая модель местности создается средствами ГИС и отражается в виде тематической карты. Она позволяет учесть индивидуальные условия и определить степень экономической целесообразности освоения лесных участков. Интеграция созданных в ГИС совмещенных буферных зон и экономической модели местности позволяет выявить транспортно неосвоенные лесные участки, нуждающиеся в освоении по экономическим критериям, и соответствующим образом разместить элементы лесотранспортной сети. Предложенная методика позволяет учесть влияние условий многоцелевого использования лесов и осуществить проектирование лесотранспортной сети на основании оптимальных параметров по критерию минимума суммарных удельных затрат и критерию положительной лесной ренты, что повышает эффективность проектирования. The subject of the article is a technique for the development of forest transport network in terms of multiple use of forests. The aim of this work is a demonstration of this method and the questions connected with it. The design of forest transportation network in conditions of multipurpose use of forests requires special techniques that take into account the specific features of these conditions. The proposed method is based on two components. The first component is the method of optimization of forest transport network. Optimization is performed on the basis of optimal parameters of the network, defined by the criterion of minimum total specific costs of implementation of complex of measures on the involvement of forests into economic circulation. It is to identify forest areas in need of transport development, which is carried out with the use of geographic information systems. In this case it is used method of analysis and creation of buffer zones. The article describes the mathematical model of optimization of parameters of transportation network. This model does not take into account the individual characteristics of specific forest areas and does not reflect the economic feasibility of their development, which requires the use of a special method. The second component of the method is the technique of creating economic model of the terrain that reflects the spatial distribution of forest rent on the forest territory. The article presents the mathematical relationships on the basis of which are determined by the indicators of forest rent for each forest land. The model generated in GIS is displayed in the form of thematic maps. It allows to take into account the individual conditions of forest land and determine the degree of economic feasibility of development of forest areas. Integration created in GIS of buffer zones and economic model of the terrain allows to identify the transport of undeveloped forest land and areas requiring transport development. The proposed method allows to take into account the influence of the conditions of multipurpose use of forests. It also allows and to carry out the design of a transportation network based on optimal parameters according to the criterion of minimum total unit cost and the criterion of positive forest rents, which increases the efficiency of the design.

Download Full-text

Remaining useful life prediction based on a modified SVR method with health stage division, cluster sampling and similarity matching

10.21203/rs.3.rs-20832/v1 ◽

2020 ◽

Author(s):

Jian-wen Yan ◽

Xiao-hu Zhong ◽

Yu-cheng Cheng ◽

Yu Fan

Keyword(s):

Life Cycles ◽

Remaining Useful Life ◽

Cluster Sampling ◽

Optimal Parameters ◽

Similarity Matching ◽

Single Model ◽

Testing Sample ◽

Stage Division ◽

Useful Life ◽

Sample Set

Abstract Remaining useful life (RUL) prediction is an advanced methodology of prognostics and health management (PHM), and is in advantage of life cycles management of equipment and maintenance cost reduction. Among the data driven methods, support vector regression (SVR) is one of the most suitable methods when there are limited failure history data for analysis. However, many uncertain factors such as individual variation and time varying operating conditions, will lead that the failure time of all equipment statistically dispersive, and with the increase of sample set, such dispersity may inevitably increase and further reflects in the model training. In consequent, the dispersity may cause two drawbacks. On the one hand, the linearity of SVR model will increase with the increase of sample set, and overfitting or underfitting tends to occur. And on the other hand, a single model only performs well in its generalization and robustness, but may lost its effectiveness that it may fail to work well for a new on-service equipment. In order to deal with the two drawbacks, this paper proposes a modified SVR method with health stage division, cluster sampling and similarity matching. Through health stage division and cluster sampling, each state of the whole degradation process can obtain the optimal parameters, then the irrelevant linearity can be reduced. In addition, since that similar input results similar output, the optimal parameters of the most similar testing sample are also suitable for the on-service equipment, and through similarity matching the most similar testing sample can be obtained, thus the drawback of a single model can be avoided. Finally, the effectiveness of the proposed method is verified systematically by a simulated dataset of fatigue crack growth and a real-world degradation dataset of GaAs-based lasers.

Download Full-text