Abstract The objective of this chapter is to provide practical guidelines for implementing various logistic-oriented applications. In particular, part starts with a crucial point pertaining access control using KIS.Devices and external RFID readers. Subsequently, an application concerning monitoring product levels in small warehouse proposed. remaining three sections deal transportation systems...

Abstract The logistic birth and death process is perhaps the simplest stochastic population model that has both density-dependent reproduction a phase transition, lot can be learned about by studying its extinction time, $\tau_n$ , as function of system size n . A number existing results describe scaling $n\to\infty$ for various choices reproductive rate $r_n$ initial $X_n(0)$ We collect comple...

Logistic regression is a technique to map the input feature to the posterior probability for a binary class. The optimal parameter of regression function is obtained by maximizing log likelihood of training data. In this report, we implement two optimization techniques 1) stochastic gradient decent (SGD); 2) limited-memory BroydenFletcherGoldfarbShanno (L-BFGS) to optimize the log likelihood fu...