Economic Indicators Selection for Property Crime Rates using Grey Relational Analysis and Support Vector Regression

Features selection is very important in the multivariate models because the accuracy of forecasting results produced by the model are highly dependent on these selected features. The purpose of this study is to propose grey relational analysis and support vector regression for features selection. The features are economic indicators that are used to forecast property crime rate. Grey relational analysis selects the best data series to represent each economic indicator and rank the economic indicators according to its importance to the property crime rate. Next, the support vector regression is used to select the significant economic indicators where particle swarm optimization estimates the parameters of support vector regression. In this study, we use unemployment rate, consumer price index, gross domestic product and consumer sentiment index as the economic indicators, as well as property crime rate for the United States. From our experiments, we found that the gross domestic product, unemployment rate and consumer price index are the most influential economic indicators. The proposed method is also found to produce better forecasting accuracy as compared to multiple linear regressions.

Model for evaluation of technical and economic indicators of offshore wind farms

THE PURPOSE. An urgent problem in the development of offshore wind energy is the high cost of generating electricity, which is due to large capital investments. The solution to this problem is possible by increasing efficiency while reducing costs as much as possible, which requires optimal design of offshore wind farms.GOAL. Development of model for the technical and economic indicators of offshore wind farms based on configuration data, taking into account the factors of climatic conditions and the topography of the seabed at the site of the planned wind farm location.METHODS. Mathematical modeling using Matlab software environment.RESULTS. The model evaluates the impact of wake and electrical losses in the main components of the electrical system on the operation of an offshore wind farm, and also allows to take into account the influence of the seabed relief on the economic characteristics of wind turbine foundations. The model was tested on the example of calculating two existing offshore wind farms «Horns Rev 1» and «Horn Rev 2» by comparing the calculated indicators of the average annual electricity generation, capacity factor, capital expenditures and normalized cost of electricity with the actual indicators obtained during their operation. The comparison results show slight deviations within 5% of the actual values.CONCLUSION. The model for assessing the technical and economic indicators of offshore wind farms was developed and tested on the basis of data on the wind farm configuration and layout, as well as factors of climatic conditions and terrain. Evaluation of the computational speed showed a sufficiently high efficiency of the algorithm, which allows the model to be applied to optimize large offshore wind farms.

Impact of Rural Roads in India: A Case Study Based on Spatial Data Analysis

The Government of India launched its National Rural Roads Program known as Pradhan Mantri Gram Sadak Yojana (PMGSY) to connect the 167 thousand unconnected villages in the country by all-weather roads to improve connectivity there. It is important to study the impact of such intervention on various socio-economic indicators of rural development there. This study assesses the impact of those roads on the different aspects of rural community. The assessment has been completed based on spatial visualisation of the impact created by various facility parameters in rural development using various questionnaires formed and applied on a few selected blocks. Spatial data was collected and integrated using open-source software (QGIS) and statistical analysis has been performed to understand the percentage change in socio-economic indicators related to education, healthcare, agriculture, marketing and employment opportunities which are essential elements of the integrated rural development in India. The analysis appears helpful in estimating the sensitivity of government policies in the context, and thus understanding the requirement of policy changes and implementation in rural India.

Smelting options for carbon ferrochrome based on ore raw materials, middlings and their technological evaluation

The article presents the results of large-scale laboratory tests carried out in the conditions of the Chemical and Metallurgical Institute named after V.I. Zh. Abishev on the use of briquetted mono-charge in the smelting of carbon ferrochrome on a 250 kVA furnace. The purpose of these studies was to determine the technological parameters of the use of briquetted mono-charge containing in its composition chrome ore, wastes from the production of high-carbon ferrochrome, middlings and various carbonaceous reducing agents. The main idea of using these briquettes was to multiply the contact surface of the reductant and ore, which should speed up the technological process. The principal possibility of smelting a standard alloy using briquetted mono-charge is shown. The alloy for individual charge options meets the requirements of the standards. In comparison with the technology without the use of briquettes, the mono-charge technology has shown advantages in all main parameters. The technology with the use of briquettes from the dust of the AktZF gas cleaning system is distinguished by a low yield of non-standard metal and slag, the bulk of the material goes into the gas collection system. Technologies from briquettes from fines pellet production area of Donskoy ore mining and processing plant and flash have very low specific technical and economic indicators and cannot be recommended for industrial use. Improvement of briquetting modes and technology of their smelting is required. The technical and economic indicators were higher than the current one, showed briquettes from ore and coke of the People's Republic of China, briquettes of ore from borlin and shubarkol coals of Kazakhstan.

Project «Aerotropolis Tolmachevo»: Economic Conditions for Implementation

The paper gives a characteristic of a complex project for the development of the territory of Aerotropolis Tolmachevo, provides forecast estimates of the necessary capital expenditures for its implementation. In the course of the study, the advantages of placing business facilities in the airport zone for the main economic entities were identified, an assessment of the most important economic indicators of the Aerotropolis zone is given. The most important conditions for the implementation of the project have been formulated. It is concluded that the implementation of the complex project Aerotropolis Tolmachevo will become an important step in the spatial development of Russia, cementing its economic space and increasing its competitive position in the world economy.