background: since the industrial revolution, the rate of industrialization and urbanization has increased dramatically. regarding this issue, specific regions mostly located in developing countries have been confronted with serious problems, particularly environmental problems among which air pollution is of high importance. methods: eleven parameters, including co, so 2 , pm 10 , pm 2.5 , o 3 ...

The article provides a systematic analysis of the economy as type economic activity and basis for development partnership. New approaches to management based on new thinking are outlined. First all, this concerns positioning Ukraine in global world an agrarian, industrial or intellectual economy. It is proved that characterized by integrated industry, science, production, agriculture potential....

in this research, the framework is presented for unsupervised change detection using multitemporal sar images based on integration clustering and level set methods. spatial correlation between pixels were considered by using contextual information. also as proposed method was used integration of gustafson-kessel clustering techniques (gkc) and level set methods for change detection. using clust...

Rice (Latin: Oryza sativa) is one of the most important cultivated plants in civilization. This plant main commodity for almost all Indonesian people. Indonesia third place as largest rice producing country world. However, based on data from Statistics Indonesia, will still import until 2022. The transfer paddy fields reasons why importing to this day. Many lands that used be have turned into a...

Clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. K-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. In recent years, several algorithms are provided based on evolutionary algorithms for cluster...

As an industrial economic organization with specific characteristics, industrial cluster is emerging with strong dynamism in global competition and driving the development of regional economy. However, industrial cluster can bring some negative impact on regional economy development. This paper tries to illustrate the reasons for the stagnation and degradation of resource-based regional industr...

In this paper, a novel outlier detection method is proposed for industrial data analysis based on the fuzzy C-means (FCM) algorithm. An adaptive switching randomly perturbed particle swarm optimization algorithm (ASRPPSO) put forward to optimize initial cluster centroids of FCM The superiority ASRPPSO demonstrated over five existing PSO algorithms series benchmark functions. To illustrate its a...

Frequent geopolitical events have reduced the stability of natural gas supply and caused drastic price fluctuations, which poses a new challenge to consumer market. To improve anti-risk ability industrial market, this study constructs customer value portrait framework discern based on different types behavioral features emerging trends Specifically, we rediscover composition customers establish...