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vol. 12, no. 4,2016

WEB ANALYTICS COMBINED WITH EYE TRACKING FOR SUCCESSFUL USER EXPERIENCE DESIGN: A CASE STUDY

The authors propose a new approach for the mobile user experience design process by means of web analytics and eye-tracking. The proposed method was applied to design the LUT mobile website. In the method, to create the mobile website design, data of various users and their behaviour were gathered and analysed using the web analytics tool. Next, based on the findings from web analytics, the mobile prototype for the website was created and validated in eye-tracking usability testing. The analysis of participants’ behaviour during eye-tracking sessions allowed improvements of the prototype.
  • APA 6th style
Borys, M., Czwórnóg, M., & Ratajczyk, T. (2016). Web analytics combined with eye tracking for successful user experience design: a case study. Applied Computer Science, 12(4), 96-110. 
  • Chicago style
Borys, Magdalena, Monika Czwórnóg, and Tomasz Ratajczyk. "Web Analytics Combined with Eye Tracking for Successful User Experience Design: A Case Study." Applied Computer Science 12, no. 4 (2016): 96-110.
  • IEEE style
M. Borys, M. Czwórnóg, and T. Ratajczyk, "Web analytics combined with eye tracking for successful user experience design: a case study," Applied Computer Science, vol. 12, no. 4, pp. 96-110, 2016.
  • Vancouver style
Borys M, Czwórnóg M, Ratajczyk T. Web analytics combined with eye tracking for successful user experience design: a case study. Applied Computer Science. 2016;12(4):96-110.
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COMPUTER ANALYSIS OF ELECTROMOTORIC SWIVEL WALKER MOVEMENT

The first mechanical construction of swivel walker is from year 1963 and it was aimed for support movement of people with disabilities. This solution was very difficult and it was main reason for purpose of electromotoric module, which facilitates movement and reduce effort of people with disabilities. Therefore further research in this area are still provided. In this paper trajectory of swivel walker with electromotoric modules is described. To analyze the tilt and trajectory structure of the walker SolidWorks software was implemented.
  • APA 6th style
Varga, J., Hajduk, M., & Świć, A. (2016). Computer analysis of electromotoric swivel walker movement. Applied Computer Science, 12(4), 88-95. 
  • Chicago style
Varga, Jozef, Mikuláš Hajduk, and Antoni Świć. "Computer Analysis of Electromotoric Swivel Walker Movement." Applied Computer Science 12, no. 4 (2016): 88-95.
  • IEEE style
J. Varga, M. Hajduk, and A. Świć, "Computer analysis of electromotoric swivel walker movement," Applied Computer Science, vol. 12, no. 4, pp. 88-95, 2016.
  • Vancouver style
Varga J, Hajduk M, Świć A. Computer analysis of electromotoric swivel walker movement. Applied Computer Science. 2016;12(4):88-95.
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COMPARISON OF PARETO EFFICIENCY AND WEIGHTED OBJECTIVES METHOD TO SOLVE THE MULTI-CRITERIA VEHICLE ROUTING PROBLEM USING THE ARTIFICIAL IMMUNE SYSTEM

The solutions to the multi-criteria vehicle routing problem, dependent on route length and travelling time of delivery van, are presented in the paper. This type of problem is known as a traveling salesman problem. The artificial immune system is used to solve it in this article. Since there are two variables – route length and travelling time - two methods are employed. They are: Weighted Objectives Method and Pareto Efficiency Method. The results of calculation are compared.
  • APA 6th style
Mrówczyńska, B. (2016). Comparison of Pareto Efficiency and Weighted Objectives Method to solve the multi-criteria vehicle routing problem using the artificial immune system. Applied Computer Science, 12(4), 78-87. 
  • Chicago style
Mrówczyńska, Bogna. "Comparison of Pareto Efficiency and Weighted Objectives Method to Solve the Multi-Criteria Vehicle Routing Problem Using the Artificial Immune System." Applied Computer Science 12, no. 4 (2016): 78-87.
  • IEEE style
B. Mrówczyńska, "Comparison of Pareto Efficiency and Weighted Objectives Method to solve the multi-criteria vehicle routing problem using the artificial immune system," Applied Computer Science, vol. 12, no. 4, pp. 78-87, 2016.
  • Vancouver style
Mrówczyńska B. Comparison of Pareto Efficiency and Weighted Objectives Method to solve the multi-criteria vehicle routing problem using the artificial immune system. Applied Computer Science. 2016;12(4):78-87.
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A COMPARATIVE STUDY ON MULTI-SWARM OPTIMISATION AND BAT ALGORITHM FOR UNCONSTRAINED NON LINEAR OPTIMISATION PROBLEMS

A study branch that mocks-up a population of network of swarms or agents with the ability to self-organise is Swarm intelligence. In spite of the huge amount of work that has been done in this area in both theoretically and empirically and the greater success that has been attained in several aspects, it is still ongoing and at its infant stage. An immune system, a cloud of bats, or a flock of birds are distinctive examples of a swarm system. . In this study, two types of meta-heuristics algorithms based on population and swarm intelligence - Multi Swarm Optimization (MSO) and Bat algorithms (BA) - are set up to find optimal solutions of continuous non-linear optimisation models. In order to analyze and compare perfect solutions at the expense of performance of both algorithms, a chain of computational experiments on six generally used test functions for assessing the accuracy and the performance of algorithms, in swarm intelligence fields are used. Computational experiments show that MSO algorithm seems much superior to BA.
  • APA 6th style
Baidoo, E., & Opoku Oppong, S. (2016). A comparative study on Multi-Swarm Optimisation and Bat algorithm for unconstrained non linear optimisation problems. Applied Computer Science, 12(4), 59-77.
  • Chicago style
Baidoo, Evans, and Stephen Opoku Oppong. "A Comparative Study on Multi-Swarm Optimisation and Bat Algorithm for Unconstrained Non Linear Optimisation Problems." Applied Computer Science 12, no. 4 (2016): 59-77.
  • IEEE style
E. Baidoo and S. Opoku Oppong, "A comparative study on Multi-Swarm Optimisation and Bat algorithm for unconstrained non linear optimisation problems," Applied Computer Science, vol. 12, no. 4, pp. 59-77, 2016.
  • Vancouver style
Baidoo E, Opoku Oppong S. A comparative study on Multi-Swarm Optimisation and Bat algorithm for unconstrained non linear optimisation problems. Applied Computer Science. 2016;12(4):59-77.
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ARTIFICIAL NEURAL NETWORK MODELLING OF CUTTING FORCE COMPONENTS DURING AZ91HP ALLOY MILLING

The paper presents simulation of the cutting force components for machining of magnesium alloy AZ91HP. The simulation employs the Black Box model. The closest match to (input and output) data obtained from the machining process was determined. The simulation was performed with the use of the Statistica programme with the application of neural networks: RBF (Radial Basis Function) and MLP (Multi-Layered Perceptron). 
  • APA 6th style
Kulisz, M., Zagórski, I., & Semeniuk, A. (2016). Artificial neural network modelling of cutting force components during AZ91HP alloy milling. Applied Computer Science, 12(4), 49-58.
  • Chicago style
Kulisz, Monika, Ireneusz Zagórski, and Aleksandra Semeniuk. "Artificial Neural Network Modelling of Cutting Force Components During Az91hp Alloy Milling." Applied Computer Science 12, no. 4 (2016): 49-58.
  • IEEE style
M. Kulisz, I. Zagórski, and A. Semeniuk, "Artificial neural network modelling of cutting force components during AZ91HP alloy milling," Applied Computer Science, vol. 12, no. 4, pp. 49-58, 2016.
  • Vancouver style
Kulisz M, Zagórski I, Semeniuk A. Artificial neural network modelling of cutting force components during AZ91HP alloy milling. Applied Computer Science. 2016;12(4):49-58.
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