Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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Non-Coherent CFAR Detector Using Compound Gaussian Clutter
No full textIn practical, the problem of radar signal detection is to automatically detect a target embedded in clutter. For high resolution radars, the modeling of sea clutter showed that compound Gaussian distributions are appropriate to describe the clutter returns. In this paper, we introduced a novel Constant False Alarm Rate (CFAR) detector in a non-coherent context, where the clutter follows a non-Gaussian distribution. The simulations via Monte Carlo showed that this new detector is robust for three Compound Gaussian (CG) clutter models; namely the K distribution, Compound Gaussian with inverse gamma texture (Generalized Pareto model, GP) and Compound Inverse Gaussian (CIG) distribution. The false alarm regulation was then examined within the presence of interfering targets. Finally, the performance of the proposed algorithm was validated using real data sea clutter
An algorithm for securing user credentials by combining Encryption and Hashing method
No full textInternet browsers, run on electronic devices usually preserve sensitive information, for example, client identifications. With present day innovation, most of the internet browsers uses password logins as an initial validation to demonstrate a client's individuality. Passwords perform as the primary safeguard against provoker manipulation. But, some internet browsers usually preserve client passwords in the records as plaintext. This saved client’s password help the attackers to promptly get client accreditations and break it. This paper proposes a new algorithm for the security of user credentials using the encryption and the hashing method. Specifically, the motivation behind this technique is to make sure about client identifications against data fraud. This approach ensures client accreditations utilizing a new algorithm that at the first stage keeps a password and then encrypt the password. After that, the respected encrypted data is hashed and sent to the internet browser server to store. This devised method is easy to develop and execution in the internet browser
Game-Based Learning (GBL) Success Factors in the Public Higher Education Learning System
Get PDFGame-based learning (GBL) is a form of gaming that leads to learning outcomes. It is designed to align the subject matter with how we play the game and the willingness of the player to apply and execute the matter in real-life circumstances. GBL defines a modern form of teaching technique where students are discovering a significant feature of the game in a teacher-related learning environment. The goal of this study is to investigate the performance of GBL in the quality of learning at higher public institutions. The questionnaires were distributed to the target respondents and the datacollectedwasanalyzedusingquantitative analysis methods to identify the study objectives and its performance. Results have shown that usefulness, perceived intention to use, and architectural design have a positive influence on the relationship to the efficiency of higher education learning systems. In conclusion, the outcome reveals that usefulness is the most important factor affecting the efficacy of the higher education system.Keywords—Game-based learning, Usability, Usefulness, Effectiveness of Learnin
The Study on the Effect of Frequency Selective Surface to the Return Loss of Microstrip Array Antenna at 28 GHz Frequency
No full textMicrostrip Array Antenna has been operated at 28- GHz because of the basic features of the famous microstrip patch. The purpose of this research is to study the effects of Frequency Selective Surface (FSS) on the return loss of microstrip array antenna. In this research, Rogers Duroid RT5880 with a dielectric constant r is 2.2 and the thickness is 0.254 mm is chosen to be the based substrate. Frequency Selective Surface (FSS) is used with air gap separation, which is 1-wavelength is 10.7143 mm. This research proposed a triangle shape rather than a circle, which is a conventional shape that significantly enlarges the fringe capacitance to compress the overall size of unit cell. The CST Microwave Studio 2016 software has been used. By selecting optimum parameters, the simulated return loss of the proposed antenna with and without FSS is -64.677 dB and -37.621 dB respectively. The results for both simulations fall at 28 GHz. After the fabrication and measurement, the result shifted forward by 1 GHz. At 29 GHz, the result with FSS and without FSS is -43.55 dB and -36.71 dB respectively. Both of result simulation and measurement can be used since the results of both are more than 1 GHz
Balancing Control of Two-Wheeled Robot by Using Linear Quadratic Gaussian (LQG)
No full textThe Optimal Control method such as Linear Quadratic Regulator (LQR) deals with both the qualities of the response and its consumed power. In such a system, LQR faces a problem with the feedback sensor, which contains a lot of noise. Therefore, this issue can be solved by combining it with the Kalman filter, called the Linear Quadratic Gaussian (LQG). This research investigated the LQG applied in the Two-Wheeled Balancing Robot. According to the obtained data from MPU6050 (Accelero-Gyro sensor), Kalman Filter was firstly designed by adjusting the matrix R and Q. In the same way, LQR was also designed by manually tuning the matrix Q(1,1), Q(2,2) and R. The results of Kalman Filter showed that while Qacc, Qgyro, and R are 0.001, 0.003, and 1, respectively, the noise of the sensor can be successfully decreased. At the same time, while Q(1,1), Q(2,2), R of LQR are set to 1650, 25, and 3, respectively, the Two-Wheeled Robot can be stabilized in the set-point with the lowest J-function (1365.86). The verification experiment indicates that the controller can maintain the system stability even when the external disturbance is present
Increasing Accuracy of C4.5 Algorithm by Applying Discretization and Correlation-based Feature Selection for Chronic Kidney Disease Diagnosis
Get PDFData mining is a technique of research necessary hidden information in a database to find interesting pattern. In the health sector, data mining can be used to diagnose a disease from the patient's medical data record. This research used a Chronic Kidney Disease (CKD) dataset obtained from UCI machine learning repository. In this dataset almost half of attributes are numeric types that are continuous. Continuous attributes can make accuracy lower because the data forms are unlimited, so it need to be transformed into discrete. In certain cases, if all attributes are used, it can produce a low level of accuracy because it is irrelevant and does not have a correlation with the target class. So, these attributes need to be selected in advance to get more accurate results. Classification is one technique in data mining. Which one of classification algorithms is C4.5. Purpose of this study is increasing accuracy of C4.5 algorithm by applaying discretization and Correlation-Based Feature Selection (CFS) for chronic kidney disease diagnosis. Accuracy improvement is done by applying discretization and CFS. Discretization is used to handle continuous value, while CFS is used as attribute selection. Experiment was conducted with WEKA (Waikato Environment for Knowledge Analysis). By applying discretization and CFS in C4.5 shows an increase in accuracy of 0.5%. The C4.5 has an accuracy of 97%. The accuracy of C4.5 with discretization are 97.25% and accuracy of C4.5 algorithm with discretization and CFS is 97.5%
Investigation On The Interaction Analysis Of Beam-Nonlinear Isolator With Low And High Stiffness Support
Get PDFThis paper presents the study of the interaction between a beam and a nonlinear isolator for low and high supporting stiffness. The system consists of an elastic beam- like structure and a geometrically nonlinear isolation system in which a horizontal degree provides a physical approach for realising the required horizontal force. The generalised dynamic equations of the system are derived and the modal summation method is used to analyse the beam. The dynamic interaction mechanism between the nonlinear isolation system and the elastic structure is revealed. The beam- nonlinear isolator design for low stiffness support and high stiffness support is discussed. It is found that the beam provides additional mass, stiffness and force to the nonlinear vibration isolator and the requirement to perform ground vibration test whereby the rigid mode of the beam must be less than one third of the first elastic natural frequency of the free-free beam has been satisfied. The condition to achieve high stiffness support has also been satisfied. Nonlinear dynamical behaviour of the beam-nonlinear isolator indicates that period doubling bifurcation occurs when the excitation force is 1 and excitation frequency is 0.5Hz. Poincare’ maps reveals that the system form closed loops and no chaotic behaviour is observed. Perfomance analysis in terms of force transmissibility of the nonlinear isolator shows that the nonlinear isolator performs better than a linear isolator and also performs better than a hardening HSLDS mount
An Intelligent Heuristic Algorithm Based on Tabu Search to Enhance Open Shortest Path Protocol
No full textNowadays, a number of artificial intelligence search algorithms have been engaged with the problem of computer networks, especially in the area of network routing problems. Nodes in a network with many connections can be called hubs and some other nodes with fewer connections can create problems in routing messages around the network. In general, the protocol Open Shortest Path First OSPF is a link state protocol and it provides a good connection performance. However, this protocol has some drawbacks such as the determination of like weights and the increase of routing load. In this paper, an intelligent heuristic method based on the Tabu Search algorithm is proposed to find the optimal link cost/weight set and to determine the best path for the OSPF in a dynamic network. The simulation results show that other paths can be checked and selected to avoid congestion problem with the optimal path
Synchronise Control of Chua Circuits
No full textChua circuit is a nonlinear circuit that shows complex dynamical behaviour including chaos. In chaos theory, the principle is known as ‘Butterfly Effect’ where a small change in the initial condition will cause large difference in the result. In this paper, the range of value of a resistor that cause chaotic behaviour is identified. A mathematical modelling is derived from the Chua’s circuit and represented in state-space equation. Then, a state-feedback controller is configured to stabilise and synchronise the slave system for two cases of reference input, that are, constant and chaotic signals. The output results showed the slave system follows the master system’s behaviour with zero synchronisation error.
Economic Dispatch Solution Using Hybrid Salp Swarm Algorithm and Simulated Annealing Approach
No full textIn this paper, a new optimization technique called SSA-SA approach has been suggested. This proposed technique, which is the hybridization of two meta-heuristic techniques named Salp Swarm Algorithm (SSA) and Simulated Annealing (SA) method aims to improve the global optimal solution of ED problem in electrical power systems, considering the various complexities of practical operational constraints, such as valve point effects, active transmission losses, Prohibited Operating Zones (POZ) and Ramp Rate Limits (RRL). The SSA algorithm is used as a global optimization approach, while the SA algorithm is employed to enhance the quality and the exploitation of the best global solution found at each iteration of the SSA. Three electrical test systems, which are the 06-units, 15-units and 40-units are implemented in order to investigate the performances of the SSA-SA approach. The simulation results using the proposed approach are compared to those of the basic SSA method and other optimization techniques, newly published in literature