Traffic congestion is a growing problem in many countries especially in large urban areas. The reason behind this is the increase in number of vehicles all over the world. Due to this vehicles do not run efficiently which increasestravel time, noise pollution, carbon dioxide emissions and fuel usages.In large urban cities, traffic signal controller plays an important role to improve the efficiency of vehicles, traffic congestion and hence reduces travel time, noise pollution, carbon dioxide emission and fuel used. In this paper, a two stage traffic light system for real-time traffic monitoring has been proposed to dynamically manage both the phase and green time of traffic lights for an isolated signalized intersection with the objective of minimizing the average vehicle delay in different traffic flow rate. There are two different modules namely traffic urgency decision module (TUDM) and extension time decision module (ETDM). In the first stage TUDM, calculates urgency for all red phases. On the bases of urgency degree, proposed system selects the red light phase with large traffic urgency as the next phase to switch. In second stage ETDM, calculatesgreen light time i.e., extension time of the phase which has higher urgencyaccording to the number of vehicles. Software has been developed in MATLAB to simulate the situation of an isolated signalized intersection based on fuzzy logic. Simulation results verify the performance of our proposed two stage traffic light system using fuzzy logic.

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In the entire world, there is a widespread recognition that evaluation framework is a key to building stronger and fairer academic institution system. All countries emphasize the evaluation not as end in itself but instead an important tool for achieving improved student outcomes. Teacher evaluation typically has two major purposes. First, it seeks to improve the teacher's own practice by identifying strengths and weaknesses for further professional development and involves helping teachers learn about, reflect on and adjust their practice. Second it is aimed at holding teacher's accountability for their performance in enhancing student learning. It typically entails performance based career advancement and/or salaries, bonus pay, or the possibility of sanctions for underperformance and usually involves evaluating performance at nodal points in a teacher's career. The term soft computing represents the combination of emerging problem solving technologies, such as fuzzy logic, probabilistic reasoning, neural networks and genetic algorithms. Each of these technologies provides us with complementary reasoning and searching methods to solve complex real world problems. We have proposed a soft computing model for evaluating teachers' overall performance using fuzzy logic. There are two different modules namely teachers' overall performance module-1 (TOP-M1) and teachers' overall performance module-2 (TOP-M2). First module TOP-M1, calculates teaching performance. Second module TOP-M2, calculates academic and administrative performance. On the bases of teaching performance and academic and administrative performance we calculate overall performance. Software has been developed in MATLAB. This soft computing model for evaluating teachers' overall performance using fuzzy logic will not only be useful for decision makers to evaluate teachers' abilities and improve student outcomes but may also be adopted in writing Annual Confidential Reports(ACR) for appraisal of all the teachers of an academic institution. Simulation results verify the performance of our proposed soft computing model for evaluating teachers' overall performance using fuzzy logic.

Java has recently emerged as a powerful programming language for developing platform-independent, interactive and computational based software that can be used on the WorldWide Web through a Java-enabled Web browser. The paper introduces the Java programming language, its advantages and disadvantages, and its characteristics for developing interactive instructional applications on the WorldWide Web. The interactive and computational capabilities of Java are demonstrated through a simple matrix assembly applet (a piece of networked software). This applet allows the student to assemble element equations into the global (assemblage) equations for the finite element method (FEM). The matrix assembly applet features a graphical user-friendly interface, on-line help and interactive feedback. The authors are currently using Java to develop a prototype interactive learning tool for the onedimensional bar element. The interactive learning tool for finite element method is called FEMur-CAL (Finite Element Method universal resource Computer-Assisted Learning). This FEM tool does not replace the conventional classroom experiences, but provides supplementary instruction to students who need extra help. The prototype will be integrated into the 'Learn the Finite Element Method' component of the Finite Element Method universal resource (FEMur).