International Journal of Intelligent Systems Design and Computing (10 papers in press)
DESIGN AND IMPLEMENTATION OF A WIRELESS CONTROLLED OBJECT CARRYING HEXACOPTER
by Ifthekhar Ahammad, Ariful Alam, Neyamul Islam, Jamil Sorowar, Mowdud Ahmed
Abstract: Unmanned Arial Vehicle (UAV) is becoming the future of remote operation, monitoring and delivery system. For a UAV, remote operation requires a versatile control system that can maintain its position without disturbing the task at hand. This paper introduces a hexacopter which is able to pick and place an object by using a robotic arm, while it is flying. The arm is used to grip an object firmly and carry it to the desired destination. It maintains its position on air accurately while performing the pick and place operation.rnThis UAV is able to withstand windflaw to maintain its position. This project can be used for rescuing, transportation of products, first aid supply etcetera.
Keywords: Hexacopter; Drone; Rescue; payload; wireless; object carrying hexacopter; Intelligent Systems; Intelligent Systems Design and Computing.
Ontology-based approach for document semantic similarity using concept map
by Poonam Chahal, Manjeet Singh
Abstract: Ontology plays an important role in the process of semantic similarity computation. To extract the relevant and important information from a given document it is necessary to understand the semantic associated with the document. This understanding of semantic information comes through the concepts representing the words that are present in the given documents. These concepts and relationships between these concepts are used to construct the concept map which is the first step in the construction of ontology of a document. However, to extract the concepts and their relationships, the document set of words needs to be considered. These set of words further represents the concepts which are then used in the document ontology construction process. Finally, the matching process of constructed document ontology is applied to find the semantic similarity between any two given documents. However, it can be possible that a concept present in different ontologies may give different meaning depending upon the domain of the document. In our approach of document similarity, we provide a novel method of construction of document ontology based on concept map for computation of similarity between any two given documents.
Keywords: concept map; ontology; concepts; relationships; semantic; similarity.
Hardware and software load power control in smart home applications based on Taguchi optimisation technique
by Yasmina Azzougui, Abdelmadjid Recioui
Abstract: Power control is one of the concerns in smart grid implementation. The balance between the supplied power and the demand must be maintained so that blackouts are avoided. Smart metres play an important role in establishing this balance. On the other hand, power control implementation is a challenge as one would have to find the right mix between the hardware and the software parts. The purpose of this work is to optimise and implement a small power control system of home appliances. The objective of the optimisation is to reschedule some tasks if the power demand exceeds a certain peak level. The optimisation is based on Taguchi method which is known of its robustness and relatively fast convergence. The system casts a real life situation and can be considered as a small-scale prototype that can be extended to larger systems.
Keywords: load side management; software; hardware; optimisation; Taguchi method.
Automatic shadow elimination in a high-density scene
by Hocine Chebi, Dalila Acheli, Mohamed Kesraoui
Abstract: This paper presents an automatic system for monitoring high-density images to estimate parameters from video sequences using a single camera. Unlike traditional methods, which can detect and monitor this behaviour under the right conditions, the proposed method has a good ability to segment more specific objects (vehicles and people) by introducing a new shadow elimination algorithm. In addition, the proposed system may well address the problem of vehicle occlusions caused by shadows, which often results in failure of vehicle counting and grading. This problem is solved by a new linear shadow algorithm that uses simple tools to eliminate all undesirable shadows. Therefore, an automatic algorithm for detecting shadows is also proposed. The experimental results show that the proposed method is more robust, more precise and more powerful than other traditional methods.
Keywords: shadow; high-density; automatic detection; video surveillance.
An analysis of adaptive neural networks for speech enhancement
by Rashmirekha Ram, Mihir Narayan Mohanty
Abstract: Adaptive algorithms have the versatile characteristics when applied on signals. In this paper, we attempt to enhance the speech signal using adaptive techniques. Initially, adaptive linear neuron (ADALINE) model is used for five different noisy speech signals. Further, the same signals are verified with deep neural network (DNN) model. In both the models, four hidden layers are used to analyse the noisy signal. However, for ADALINE case, the learning method used is weights and bias, whereas the restricted Boltzmann machines (RBMs) learning algorithm is used in DNN. Perceptual evaluation of speech quality (PESQ) and signal-to-noise-ratio (SNR) parameters are considered for verification and comparison purpose. The DNN is found better in terms of verified parameters as compared to ADALINE model. Nevertheless, the ADALINE model can be omitted in such comparison to prove the adaptability for the developments of automated system.
Keywords: neural networks; adaptive linear neuron; ADALINE; deep neural network; DNN; speech enhancement; perceptual evaluation of speech quality; PESQ; signal-to-noise-ratio; SNR.
Investigations on applicability of meta-heuristics for survivability of WDM optical networks
by Himanshi Saini, Amit Kumar Garg
Abstract: Wavelength division multiplexing (WDM) technology have increased the optical fibre bandwidth to THz and beyond by multiplexing number of wavelengths in a fibre. Survivability is of prime concern in high-speed networks as any single failure in WDM optical networks leads to tremendous information and revenue loss. These networks demand optimum planning. In the paper, the networks are configured with pre-planned traffic model. Ant colony optimisation (ACO), genetic algorithm (GA) and simulated annealing (SAN) meta-heuristics are applied in networks with link and node failures with an objective to minimise network congestion. The novelty of the work lies in investigations of network performance under failures with different optimisation techniques and proposed traffic model. This work can assist in optimising overall network planning of survivable networks. It is observed that GA optimisation has reduced network congestion for network under failure. Least variation in congestion for different failures is also obtained for GA meta-heuristic.
Keywords: ant colony optimisation; ACO; genetic algorithm; GA; simulated annealing; SAN; optimisation; survivability; congestion.
Study of skew mitigation techniques in MapReduce applications
by Narinder K. Seera, S. Taruna
Abstract: Data skew is one of the reasons due to which MapReduce has been criticised for years. Skew occurs as a result of uneven assignment of workload to computational nodes. Many real world applications such as PageRank, CloudBurst, etc. severely suffer from the problem of skew which occurs either at map side or at reduce side in MapReduce model. Unfair task distribution in such applications shows the negative impact of skew on overall job execution and its performance. This study attempts to explore various types of skew, their causes and existing solutions for skew mitigation. The study observed that unfair task distribution in distributed environment leaves the potential parallelism unexploited. The paper also presents few applications which show the presence of skew and possible improvements.
Keywords: MapReduce; skew; straggler; skew mitigation; task distribution.
Robust integral back-stepping control for a quadrotor: experiments and simulation
by Scott Cardimen, Mohamed A. Zohdy, Moath Sababha, Andrew Rusek
Abstract: This paper presents a robust integral back-stepping (RIB) control method applied to a constructed quadrotor prototype. The controller provides stabilisation of attitude and motion under various assumptions. The controller is robust to reject external disturbances and compensate for potential parameter uncertainties. An analysis of the benefits of the proposed control method is presented by comparison to classic linear control methods. This analysis is supported by simulation and implementation on a physical prototype. The simulation parameters match that of the prototype to provide a consistent means of validation.
Keywords: quadrotor; control; robust integral back-stepping; RIB; controller.
Intelligent control of nonlinear inverted pendulum system using Mamdani and TSK fuzzy inference systems: a performance analysis without and with disturbance input
by Lal Bahadur Prasad, Hari Om Gupta, Barjeev Tyagi
Abstract: Fuzzy control, an intelligent control technique uses the human expert knowledge to make control decisions. The inverted pendulum, a highly nonlinear unstable system is used as a benchmark for implementing the control methods. In this paper the modelling and control design of nonlinear inverted pendulum-cart dynamic system with and without disturbance input have been presented. Here PID control and fuzzy control methods using Mamdani type and Takagi-Sugeno-Kang (TSK) type fuzzy inference systems (FIS) have been implemented to control the cart position and to stabilise the inverted pendulum in vertically upright position. The MATLAB-Simulink models have been developed for simulation of the control schemes. The simulation results and performance analysis justify the comparative advantages of fuzzy control methods.
Keywords: inverted pendulum; IP; disturbance input; nonlinear system; PID control; fuzzy control; intelligent control; Mamdani FIS; TSK FIS.
Special Issue on: Machine Learning in Multi Modality Recognition System
A novel multi-objective hybrid QoS optimisation technique for MANETs
by Rangaraj Jayavenkatesan, Anitha Mariappan
Abstract: Mobile ad hoc network (MANET) requires the support of optimisation techniques for improving the quality of service (QoS) it delivers. Optimisation becomes mandatory due to the autonomous and infrastructure less characteristics of the network. This manuscript formulates a hybrid optimisation by assimilating ant colony optimisation (ACO) and fitness distance ratio (FDR)-based particle swarm optimisation (PSO) to improve the performance of the network. For ensuring better QoS, ACO is aimed at optimal solution based on throughput maximisation. Contrarily, the FDR PSO considers overhead and residual energy for précising the optimal solution further. The proposed hybrid technique is implemented in a scenario consisting of 100 mobile nodes and the performance of the proposed technique is investigated using the metrics throughput, packet delivery ratio, delay, overhead and energy.
Keywords: ant colony optimisation; ACO; FDR PSO; QoS routing; mobile ad hoc network; MANET; hybrid optimisation.