The control of liquid level and flow between tanks is a basic problem in the process industries. Measuring the flow of liquids is a critical need in many industrial plants. Realizing lower development costs, better performance can be achieved using fuzzy logic which has better stability and fast response over other methods. The suggested solution aims to improve the control processes in a garden. The intended system can be used efficiently with high accuracy, low cost, a high quality.
The system developed in this paper uses a cloud based multi-channel technology to implement and design a robust and dynamic cross platform software as a services (SaaS) application for students’ information management system (SIMS). The system runs on a network of infrastructure as a service (IaaS) for the purpose of overcoming the lapses associated with the existing systems developed for managing students’ information. The system was built with the capability to resolve issues on manual documentation of information on staff and students, share information simultaneously among multiple users and perform its tasks without delay or deadlock.
Human resources are indispensable assets as well as the livewire of any organization. For the attainment of set goals, every organization must device adequate, effective and efficient means of managing its human resources. Keeping log of personnel arrival and exit times as well as in and out movements are valuable tasks that promote objective decision on human resource performance evaluation. This paper reports on the development of a Radio Frequency Identification (RFID) and Real-Time Location Tracking System (RTLS)-based real-life personnel monitoring system. Real Time Location System (RTLS) based approach was used for accurate and reliable estimation of the distance and coordinate location of personnel at any instant. The simulation was performed on Dell Inspiron 1525 system with Alien ALR-8800 RFID readers and passive RFID tags operating at 865-867MHz frequency on Windows 7 platform. Java programming language and NetBeans IDE 7.2 on JDK1 7.0 (Java Development Kit) served as the front-end while My Structured Query Language (MySQL) relational database and PHP5 served as the back-ends. Analyses of the results of case studies of real-time data on the arrival and departure times, availability period, among others for some selected personnel of a unit in a Nigerian University show the adequacy and the feasibility of the proposed system for a reliable real-life personnel monitoring and control.
The formula of Fa`a Di Bruno provides a powerful tool to calculate the higher order derivative of a composite function. Unfortunately it has three weaknesses: it is not a recursive formula, it totally depends on the resolution of the diophantine equation and a change in the order of the derivative requires the total change of the calculation. With these weaknesses and the absence of a formula to program, Fa`a Di Bruno’s formula is less useful for formal computation. Other complicated techniques based on finite difference calculation (see ) are recursive, however the complexity of the calculation algorithm is very high. There is as well some techniques based on graphs (see ) to calculate the coefficients to a certain order, but without giving the general formula. In our work we propose a new formula to calculate the higher order derivative of a composite function gof. It is of great interest, because it is recursive and it is not based on the resolution of the diophantine equation. We complete this work by giving an expression that allows to find directly the n-th derivative of a composite function.
In this paper, the compactness of soft topological space is discussed in the soft rough formal context T = (G,M,R, F). The countable (finite) cover is de ned over the rough soft formal context. Based on them, the soft compact topological space, compact subset, relative soft topology are de ned, and compact properties of soft rough topological space is discussed over the rough soft formal context. The sufficient and necessary condition is given to check whether a given soft rough topological space is a compact.
Functional magnetic resonance imaging (fMRI) has become one of the most widely used techniques in investigating human brain function over the past two decades. However, the analysis of fMRI data is extremely complex due to its difficulties in big data processing, complicated structure of relationship between hemodynamic response and brain activity, and analysis using advanced technology and sophisticated techniques for classification and pattern recognition. Hence, efficient and accurate machine learning models are necessary to interpret fMRI data by incorporating spatial with temporal information. In this paper, we investigate a class of spatial multitask learning models which incorporates spatial information of each task's neighborhood. Simulation and real application results show satisfactory performance from spatial multitask learning algorithms.
This paper is devoted to study the following nonlinear elliptic problem with Neumann boundary condition, (Pμ) : −Δu + μu = Ku3 , u > 0 in Ω and ∂u/∂v = 0 on ∂Ω where Ω is a smooth bounded domain in R4, μ is a positive parameter and K is a C3 positive Morse function on Ω. Using dynamical methods involving the study of Palais-Smale condition of the associated variational structure J, we prove some existence results of (P μ).