Ensar Gul

Design and simulation of a fuzzy controller for fed-batch yeast fermentation

In bakers yeast fermentation, the process is non-linear and the response of the system to changes in glucose feeding has a very long delay time. Therefore, a conventional system can not give satisfactory results. In this paper, a fuzzy controller designed to control a fed-batch fermenter is presented. The fuzzy controller uses Respiratory Quotient (RQ) as a controller input and produces glucose feeding rate as control variable. The controller has been tested on a simulated fed-batch fermenter. The results show that the maximum yeast production is possible by keeping the specific growth rate (μ) and the glucose concentration (Cs) at preset values (μCand Cs,c) and minimizing the ethanol production.

On the track similarity test in track splitting algorithm

In the track splitting algorithm track splitting occurs when more than one measurement is used to update a track, the new tracks, therefore, are correlated. The test used to find those tracks which may represent the same target is modified to include the correlation between two tracks. >

Transputer implementation for multiple target tracking

Abstract The paper considers the implementation of an algorithm for tracking multiple targets using a transputer system. The procedure used is based on a track splitting algorithm and requires the use of multiple Kalman filters. A particular scenario of four crossing targets has been studied from which the approach shows that significant speed improvements can be achieved by using parallel computations compared with a serial implementation.

Using XP in Telecommunication Software Development

In recent years agile software development methods have been used by software development teams. In this paper practical results of applying an agile software development methodology, extreme programming (XP), in the development of telecommunication software projects, are presented. Experience gained by applying XP rules are reported and each rule is scrutinized. Our conclusion is that XP could give better results provided that it is tailored for telecommunication software projects.

Target Tracking Using Transputers as Parallel Processors

Abstract The paper discusses several aspects of the problem of tracking multiple targets from noisy measurement data using the track splitting algorithm. Particular attention is focussed on the performance of the sub-optimal α — β filter relative to that of the Kalman filter. The former is often used to speed up the computation time but it is shown that due to the difficulty of data association in multiple target tracking the benefits of using the α — β filter in place of the optimal Kalman filter are not as great as expected. Because the track splitting algorithm requires multiple filters it is particularly appropriate for implementation on parallel processors. Several ways of implementing the algorithm on transputer arrays are given and the simulation results show their relative advantages.

Neural network-based approaches for predicting query response times

Query response time prediction is an important and challenging problem in database systems. Especially for applications which handle large amounts of data or where time loss and deadlocks are hardly tolerated, it is very useful to predict the query response times before actual execution. This paper aims to predict query response times automatically using neural network-based approaches, and compares these approaches in terms of training time and accuracy. We implemented three methods based on artificial neural networks, and compared these methods using the TPC-DS benchmark database on Microsoft SQL Server. This study shows that two of our methods, multilayer perceptron with back-propagation and small-world network methods, present accurate results in predicting query response times within acceptable training times.

Comparison of digital audio watermarking techniques for the security of VOIP communications

In this paper, the authors present digital audio watermarking techniques that can be used for source origin authentication in real-time Session Initiation Protocol (SIP) Communications, such as Voice over IP (VoIP). The watermark-enabled VoIP mechanism utilizes audio watermarking techniques as a covert channel between calling parties to send source origin indicator information during the transportation phase of VoIP. The effects of audio watermarking were measured using the Signal-to-Noise Ratio, watermark extract durations and the effects of a-law, u-law and GSM encoding during the transportation phase of VoIP. Moreover, various audio watermarking algorithms were implemented to demonstrate the applicability of aforementioned security solution in terms of certain parameters: robustness, evaluation times, complexity and capacity. The experimental results suggest that some watermarking algorithms are applicable in VoIP, while others are not suitable for source origin authentication.

Application of Fuzzy Control to Fed-Batch Yeast Fermentation

A new fuzzy controller has been designed and compared with the one developed previously for the control of fed-batch yeast fermentation. The respiratory quotient (RQ) was used as controller input and flow rate of glucose solution was controlled to maximize conversion of glucose to biomass. The new controller was found to be stable throughout the production period, keeping the glucose flow rate at the desired value, whereas the old controller was unstable towards the end of the fermentation and was unable to control and minimize the ethanol concentration in the fermentation broth.

Concurrent multi-path data transfer using modified SCTP

SCTP (Stream Control Transmission Protocol) has multi-homing features, but SCTP implementations do not actively use this feature. If the active path is disabled or packets are lost SCTP uses alternative paths; this multi-homing feature can be used to transfer data concurrently. In this study, data has been sent from these multi-homing paths and load balancing has been implemented on these paths, with the development of an adaptive algorithm for load balancing to transfer data via concurrent multi-path on low bandwidth networks. This algorithm enables data to be sent using all available paths in networks and thus leads to higher transfer rates.

A Fuzzy System Model for Task Implementation in Extreme Programming Process

Software simulation enables us to see how a software process is working and gives indications of some of the parameters of the process. In this study the implementation of the tasks in extreme programming software process was modeled using a fuzzy system. The inputs of the system are defined as communication between pair programmers, the writing of unit tests and the coding rules, while the output is the implemented task. The defuzzified output of this fuzzy system provides quantitative results that can be used to determine to how good a task has been implemented.