Although there are many ways to deploy the Jenkins open-source automation server on Amazon Web Services (AWS), this whitepaper focuses on two specific approaches. First, the traditional deployment on top of Amazon Elastic Compute Cloud (Amazon EC2). Second, the containerized deployment that leverages Amazon EC2 Container Service (Amazon ECS). These approaches enable customers to take advantage ...

Previous Studies Although the operation of leucotomy is now over 20 years old only a few attempts at a controlled assessment of its therapeutic effect have been made (Penrose, 1944; Mettler, 1949, 1952; Friedman, Moore, Ranger, and Russman, 1951; Livingston, 1953; Jenkins and Holsopple, 1953; Freeman, Davis, East, Tait, Johnson, and Rogers, 1954; Jenkins, Holsopple, and Lorr, 1954; Medina, Pear...

Agile practices are receiving considerable attention from industry as an alternative to traditional software development approaches. However, there are a number of challenges in combining Agile [2] with Test-driven development (TDD) [10] practices, cloud deployments, continuous integration (CI), non-stop performance, load, security and accessibly testing. From these challenges; Continuous Integ...

Most models for the time series of stock prices have centered on autoregressive (AR) processes. Traditionaly, fundamantal Box-Jenkins analysis [2] have been the mainstream methodology used to develop time series models. Next, we briefly describe the develop a classical AR model for stock price forecasting. A fuzzy regression model is then introduced. Following this description, an artificial fu...

Most models for the time series of stock prices have centered on autoregressive (AR) processes. Traditionally, fundamental Box-Jenkins analysis have been the mainstream methodology used to develop time series models. We briefly describe developing a classical AR model for stock price forecasting. Then a fuzzy regression model is introduced. Following this description, an artificial fuzzy neural...

Well-known Box-Jenkins Autoregressive integrated moving average (ARIMA) methodology has virtually dominated analysis of time-series data since 1930s. However, it is applicable to only those data that are either stationary or can be made so. Another limitation is that the resultant model is “Linear”. During the last two decades or so, the area of “Nonlinear time-series” is rapidly growing. Here,...