This paper describes current trends in the prediction of crop pests using machine learning technology. With the advent of data mining, the field of agriculture is also focused on it. Currently, various studies, domestic and overseas, are under progress using machine learning technology, and cases of its utilization are increasing. This paper classifies and introduces SVM (Support Vector Machine...

The present investigation presents a stochastic model for a flexible manufacturing system consisting of flexible machine, loading/unloading robot and an automated pallethandling device. We consider unreliable flexible manufacturing cell (FMC) wherein machine and robot operate under individual as well as common cause random failures. The pallethandling system is completely reliable. The pallet o...

Heterogeneous Associative Computing (HAsC) is a new distributed heterogeneous computing paradigm that is a combination of associative computing, superconcurrency, and distributed heterogeneous computing. Its task mapping and resulting execution decision is based on data locality along with a variety of system, data, and algorithmic factors. In this paper, we present Data Placement Analysis (DPA...

This paper presents the idea of creating cells while reducing part-level sequence-dependent setup time in general cellular manufacturing systems (CMS). Setup time reduction in CMS has gained modest attention in the literature. This could be attributed to the fact that the fundamental problem in cell formation in CMS has been mainly related to material handling and machine utilization while setu...

Performance of a Java Virtual Machine (JVM) is quantified in terms of the JVM’s relative CPU availability at executing concurrent Java threads. The total CPU loading of a JVM is defined by the sum of the CPU utilization factors of all threads executing on the JVM. Sharp performance degradation has been observed while JVM executes concurrent threads with exactly same CPU load. An analytical mode...

In this paper, we embed the microeconomic decisions associated with investment under uncertainty, capacity utilization, and machine replacement in a general equilibrium model based on putty-clay technology. We show that the combination of log-normally distributed idiosyncratic productivity uncertainty and Leontief utilization choice yields an aggregate production function that is easily charact...

Preformed coils are used in electrical machines to improve the copper slot fill factor. A higher utilization of machine can be realized. The improvement is a result both, low losses due increased factor and an improved heat transition out slot. In this study, influence these two aspects on operational studied. Detailed simulation models allow separation effects. preform wound winding comparison...

Powerful data centers are the essential supporting infrastructure for mobile, ubiquitous, and cognitive computing, which are the most popular computing paradigms to utilize all kinds of physical resources and provide various services. To ensure the high quality of services, the performance and cost of a data center is a critical factor. In this paper, we investigate the issue of increasing the ...

Abstract Purpose of Review Recent advances in donor heart preservation have allowed the utilization hearts that would typically be discarded due to prolonged ischemic times or donation via circulatory death pathway. This review will discuss recent including optimization machine perfusion technologies and future strategies potential benefit for transplant outcomes. Findings Improvements organ en...

This paper discusses the initial efforts to implement simulation modeling as a visual management and analysis tool at an automotive foundry plant manufacturing engine blocks. The foundry process was modeled using Pro Model to identify bottlenecks and evaluate machine performance, cycle times and production data (total parts, rejects, throughput, products/hr) essential for efficient production c...