An Approach to Develop Web-Based Application for Simulation and Visualization of Operating System Algorithms

Learning about algorithms and different system concepts related to programming is a difficult task and often becomes complex for students to grasp. If ever a concept is being learned using visualization techniques it becomes easy to learn and remember. There are many Algorithm visualizers built for it, though students may interpret them in a wrong way and that is why it should be appropriate and correct. Based on the previous works this paper describes an effective way to learn the various complex algorithms of the operating system in which we have considered various levels of interactivity, that includes zero interactivity, partial interactivity, and complete interactivity that will be discussed further in detail.[10] Keywords: Algorithm, Visualization, Operating System, Simulator, Programming, FCFS, SJF, etc

PRODUCTION RULE ONTOLOGY OF AUTOMATIZED SMART EMERGENCY DISPATCHING SUPPORT OF THE POWER SYSTEM

The research deals with improving methods and systems of control over power systems based on intellectualization of dispatch decision support. There are results of developing a principal trigger scheme of the decision support system algorithm. The proposed model of algorithm visualization in the form of a trigger state network of the computer system provides interaction with power objects of mining and metallurgical complexes and regions. A new interpretation of components of the network trigger model is introduced. The model is interactively related to both user-operator actions and states of power system components. With that, the state of the automata model is associated with fulfillment a set of metarules to control the logical inference. There are new forms of presenting algorithms controlling knowledgebases that interact with the external environment and aggregate primitives of states, triggers and transactions of operations and generalize standard visualization languages of algorithms are proposed. This allows unification of smart systems interacting with the external environment. The authors develop models for representing knowledgebase processing algorithms interacting with power objects that combine states, triggers and transaction operations and generalize standard visualization languages of algorithms. This enables description of functioning database algorithms and their event model, which provides a reliable unification of smart systems interacting with control objects of mining and metallurgical power systems. The research solves the problem of building a knowledgebase and a software complex of the dispatch decision support system based on the data of computational experiments on the power system scheme. The research results indicate practical effectiveness of the proposed approaches and designed models

Development of software control tools for power systems of mining and metallurgical regions

There are presented results of developing a conceptual trigger chart of the functioning mechanism of the decision support system. The suggested model of visualizing algorithms as a trigger net of states of the computer decision support system provides for interaction of power objects of mining and metallurgical complexes and regions. The authors introduce new interpretation of components of the network trigger model. The model is interactively connected with both the user-operator’s actions and states of power system components. With that, the state of the automatic model is associated with realizing a set of metarules to control the logic output. The authors elaborate a new formalism of representing algorithms of controlling knowledgebases interacting with the outer environment which aggregates primitives of conditions, triggers and transactions of operations and greatly generalizes standard languages of algorithm visualization. It enhances elaboration of standardized smart systems interacting with the external environment. This allows description of functioning algorithms of knowledgebases and the event-driven output to ensure development of reliable standardized smart systems interacting with control objects of power systems in mining and metallurgical regions.

Visualisasi Algoritma sebagai Sarana Pembelajaran K-Means Clustering

Algorithm Visualization (AV) is often used in computer science to represents how an algorithm works. Educators believe that visualization can help students to learn difficult algorithms. In this paper, we put our interest in visualizing one of Machine Learning (ML) algorithms. ML algorithms are used in various fields. Some of the algorithms are used to classify, predict, or cluster data. Unfortunately, many students find that ML algorithms are hard to learn since some of these algorithms include complicated mathematical equations. We hope this research can help computer science students to understand K-Means Clustering in an easier way.

Identification of Continued Improvement in the Resolution of an Order Picking Model for a Furniture Factory to Improve the Distribution of Wood Furniture

This chapter is about the analysis with respect to the accommodation of wooden furniture inside a vehicle for their respective distribution, verifying the option of finding the correct stow model and accommodation maximum within the same, taking as a basis the traditional industry of furniture. Driving this problematic alluding to what is known as order picking takes into account the various restrictions in order to carry out a logical arrangement and awareness on the various care that must be carried out at the time of the handling of the same, all this with the aim of finding the best practices at the time of the mount of merchandise in the vehicle and the further optimization of space in the interior. With the help of software order picking algorithm visualization, it will display the virtual simulation associated with the improvement of material and products in a warehouse to display the form of accommodation of the goods within the container selected for the study. The management of a warehouse is a complex process that in turn comprises a good number of processes and activities typical of the logistics function that has evolved enormously in recent years. Continuous improvement that recurs costs and increases the productivity of the products. This management model is focused on the creation of flow to be able to deliver a maximum value to customers. It is essential to manage the resources of the warehouse, as units where a proposal is made, and to give possible solutions in the management of their processes, for which a record of information of a warehouse was made. For this, the order picking model was used, which is the selection of orders where you can define how they will be stored.