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Computer is a part and parcel of our daily life. It is being widely used at homes, offices, schools and industries. It is now an important issue to save user program and data as well as hardware and software of the personal computer (PC) itself from damage and corruption due to sudden power failure. This paper presents the solution of the problem. A graphical user interface (GUI) has been developed that monitors the status of the power supply of the PC. Whenever power goes out, it saves all the files that are opened and initiates auto-shutdown of the PC. Keywords: Graphical user interface (GUI); Auto-shutdown; Auto-saving

In this paper, we present a case study wherein several work analysis methods were incorporated in the design of a graphical interface for a petrochemical production process. We follow this case from the application of the work analysis methods, through the consolidation of information requirements, to the design of a novel interface that integrates the requirements. The findings confirm earlier assertions that task-based and work domain-based analysis frameworks identify unique and complementary requirements for effective information systems that are intended to support supervisory control of complex systems. It further provides the first industrial demonstration of ecological interface forms based on integrated task- and work domain-based work requirements. Index Terms--Graphical user interfaces, man-machine systems, petroleum industry, process control.

This paper discusses graphical interfaces to improve equipment control in construction and facility/ infrastructure maintenance environments. Most large construction and maintenance machines are difficult to control because of insufficient visual feedback to equipment operators. In many emerging applications such as hazardous waste cleaning, it is also necessary to control such equipment from a distance using teleoperation techniques. Initial evidence indicates that real-time updated graphical representation of equipment and work environments can enhance equipment control by providing better spatial perception to the equipment operator. Real-time simulation and task planning with graphical models can also ensure safe and reliable operation of equipment. However, graphical control interfaces require careful design for successful results as it is very difficult to generate exact graphical models of unstructured and dynamic environments such as construction and maintenance. Design of graphical control interfaces for construction equipment also requires knowledge in various technological areas. In this paper, design issues and principles for graphical control interfaces for construction and maintenance equipment are presented. The usefulness of graphical control interfaces is also presented through performance tests of a teleoperated clinker clearing robot for power plant maintenance.

Visual mediators can be effectively used to assist low spatial individuals in information search works on computer screens. The adjustment of low spatial individuals is dependent on the removal of the need to evolve a mental model of the structure of embedded task information. This can be accomplished through the presentation of the information in an hierarchical or linear form on the screen.

An interactive Graphical User Interface (GUI) package for the design, simulation and analysis of a power plant electrical auxiliary system is presented in this paper. The purpose of this package is to assist the engineer in performing non real-time, what-if, analysis in an interactive and intuitive environment. The package, AUXSYS, is capable of performing load flow and motor starting simulations. It provides a graphical interface for designing the one-line diagram of the plant and analyzing the output of the simulations. It is currently used for modelling Wisconsin Electric Power Company's (WEPCO) power plant electrical auxiliary systems and is implemented for use on PC's.

The Spice Internet Package (SIP) was developed using an Internet browser as a platform-independent graphical user interface. The SIP application has many options that include simulation of SPICE files, graphical postprocessing data, and online editing of SPICE files. It can run remotely through a network on any operating system. Index Terms--Design automation, Internet, SPICE.

This technical note describes the design and application of a group of graphical finite-element object classes that were developed using the object-oriented approach and were implemented in C++. These object classes were designed to encapsulate the characteristics of finite-element objects and corresponding graphic drawing functionalities. Thus, graphic functionalities can be incorporated easily into a finite-element analysis program by the selective use of these object classes. Extension of these object classes can lead to new finite elements with different functional and graphical characteristics. A windows-based finite-element analysis program with an interactive graphic user interface was developed using these object classes as basic building blocks. The inheritance feature of the object-oriented programming (OOP), which allows some codes of existing classes to be reused, was utilized to simplify the programming process. To demonstrate the reusability and extendability characteristics of the object classes, a different finite-element analysis program was coded by using the same object classes.

This paper presents an interactive graphical user interface (GUI) based multiobjective evolutionary algorithm (MOEA) toolbox for effective computer-aided multiobjective (MO) optimization. Without the need of aggregating multiple criteria into a compromise function, it incorporates the concept of Pareto's optimality to evolve a family of nondominated solutions distributing along the tradeoffs uniformly. The toolbox is also designed with many useful features such as the goal and priority settings to provide better support for decision-making in MO optimization, dynamic population size that is computed adaptively according to the online discovered Pareto-front, soft/hard goal settings for constraint handlings, multiple goals specification for logical "AND"/"OR" operation, adaptive niching scheme for uniform population distribution, and a useful convergence representation for MO optimization. The MOEA toolbox is freely available for download at http://vlab.ee.nus.edu.sg/~kctan/moea.htm, which is ready for immediate use with minimal knowledge needed in evolutionary computing. To use the toolbox, the user merely needs to provide a simple "model" file that specifies the objective function corresponding to his/her particular optimization problem. Other aspects like decision variable settings, optimization process monitoring and graphical results analysis can be performed easily through the embedded GUIs in the toolbox. The effectiveness and applications of the toolbox are illustrated via the design optimization problem of a practical ill-conditioned distillation system. Performance of the algorithm in MOEA toolbox is also compared with other well-known evolutionary MO optimization methods upon a benchmark problem. Index Terms--Evolutionary algorithms, multiobjective optimization, software.