Scientific Research Publishing

Read  full  paper  at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53579#.VMnd0CzQrzE Author(s)     Ismail Bin Abdullah , Daw Abdulsalam Ali Daw , Kamaruzzaman Bin Seman Affiliation(s) Faculty of Science and Technology, Universiti Sains Islam Malaysia (USIM), Bandar Baru Nilai, Malaysia . ABSTRACT Network traffic prediction plays a fundamental role in characterizing the network performance and it is of signi?cant interests in many network applications, such as admission control or network management. Therefore, The main idea behind this work, is the development of a WIMAX Traffic Forecasting System for predicting traffic time series based on the daily and monthly traffic data recorded (TRD) with association of feed forward multi-layer perceptron (FFMLP). The quality of forecasting WIMAX Traffic obtained by comparing different configurations of the FFMLP that consist of investigating different FFMLP model architectures and ...

Read  full  paper  at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53336#.VL3H3yzQrzE Author(s)   Jaesung Choi 1 , David C. Roberts 2* , Eun Su Lee 3   Affiliation(s) 1 Transportation and Logistics Program, North Dakota State University, Fargo, USA . 2 Department of Agribusiness & Applied Economics, North Dakota State University, Fargo, USA . 3 Upper Great Plains Transportation Institute, North Dakota State University, Fargo, USA . ABSTRACT North Dakota’s oil production has been rapidly increasing during the past several years. The state’s oil production in March 2013 even increased to more than twice the quantity produced in March 2011, and the estimated Bakken Formation reserves were reported very large compared with those of the United Arab Emirates. It eventually makes a question to us of how much oil will be able to be actually extracted with currently available technologies. To answer this question, this paper...

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=51362#.VGVeQ2fHRK0 Author(s) Oscar S. Silva Filho Affiliation(s) Center for Information Technology Renato Archer—CTI, Campinas, Brazil . ABSTRACT In this paper, a single product, multi-period, aggregate production planning problem is formulated as a linear-quadratic Gaussian (LQG) optimal control model with chance constraints on state and control variables. Such formulation is based on a classical production planning model developed in 1960 by Holt, Modigliani, Muth and Simon, and known, since then, as the HMMS model [1]. The proposed LQG model extends the HMMS model, taking into account both chance-constraints on the decision v...