WSEAS TRANSACTIONS on SYSTEMS archive 

About: WSEAS TRANSACTIONS on SYSTEMS archive is an academic journal. The journal publishes majorly in the area(s): Control theory & Fuzzy logic. Over the lifetime, 737 publications have been published receiving 3580 citations.

Neuro-Fuzzy Systems: A Survey

Abstract: – The techniques of artificial intelligence based in fuzzy logic and neural networks are many times applied together. The reasons to combine these two paradigms come out of the difficulties and inherent limitations of each isolated paradigm. Generically, when they are used in a combined way, they are called Neuro-Fuzzy Systems. This term, however, is many times used to assign a specific type of system that integrates both techniques. This type of system is characterised for a fuzzy system where fuzzy sets and fuzzy rules are adjusted using input output patterns. There are several different implementations of neuro-suzzy systems, therefore each author defined its own model. This article summarizes a general vision of the area describing the most known hybrid neuro-fuzzy techniques, its advantages and disadvantages.

Analysis and interpretation of ground reaction forces in normal gait

Abstract: The locomotion biomechanics study provides very extensive and interesting material for investigating the physiological process involved and the neural mechanisms controlling the systems. Gait analysis - the systematic analysis of locomotion - is used today for pretretment assessment, surgical decision making, postoperative follow-up, and management of both adult and young patients. Over the past few decades, multiple advances in bioengineering technology have permited precise analysis of many specific gait characteristics, such as joint angles, angular velocities and angular accelerations (kinematic analysis), as well as ground reaction forces, joint forces, moments and powers (kinetic analysis); electromyographic activity and energy consumption. Sophisticated gait analysis equipment can generate a visible force vector on an oscilloscope screen and superimpose it simultaneously on a photograph of a gait subject. Visualizing ground reaction forces helps us understand the effect they are having on the body in walking. If we have a full kinematic description, accurate anthropometric measures, and the external forces, we can calculate the joint reaction forces and musle moments. This predicition, called the inverse solution, is a very powerful tool in gaining insight into the net summation of all muscle activity at each joint. In this paper, we present and discuss the results of a ground reaction force analysis, conducted using the data samples of 40 voluntary subjects from our faculty student and employee population, differing in age, sex, height and weight, measured by the AMTI force platform.

Tuning of fractional PID controllers using adaptive genetic algorithm for active magnetic bearing system

Abstract: This paper proposes a novel adaptive genetic algorithm (AGA) for the multi-objective optimization design of a fractional PID controller and applies it to the control of an active magnetic bearing (AMB) system. Different from PID controllers with three constants, the fractional PID controller's parameters are composed of proportional constant, integral constant, derivative constant, derivative order and integral order. The fractional PID controller is more flexible and gives the possibility of adjusting more carefully the closed-loop system characteristics. However, its design becomes more complex than that of conventional integer order PID controller. An adaptive genetic algorithm is proposed to design the fractional PID controller. The five parameters of the fractional PID controller are selected as parameters to be determined. The dynamic model of an AMB system for axial motion is also presented. The simulation results of this AMB system show that a fractional PID controller designed via the proposed AGA has good performance.

Gray-level co-occurrence matrix bone fracture detection

Abstract: Fractures of bone are a common affliction in orthopedic wards at any given time. Trained radiologists generally identify abnormal pathologies including fractures with a relatively high level of accuracy. However studies examining reader accuracy have shown that in some cases the miss rate can be as high when reading x-rays containing multiple abnormalities. Accurate diagnosis of fractures is vital to the effective management of patient injuries. As a result, detection of long-bone fractures is an important orthopedics and radiologic problem, and it is proposed that a novel computer aided detection system could help lowering the miss rate. This paper examines the development of such a system, for the detection of long-bone fractures. This project fully employed MATLAB 7.8.0 (.r2009a) as the programming tool for loading image, image processing and user interface development. Results obtained demonstrate the performance of the femur's long bone fracture detection system with some limitations.