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A new approach of extremely randomized trees for attacks detection in software defined network
Hasan Kamel;
Mahmood Zaki Abdullah
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v28.i3.pp1613-1620
Software defined networking (SDN) is the networking model which has completely changed the network through attempting to make devices of network programmable. SDN enables network engineers to manage networks more quickly, control networks from a centralized location, detect abnormal traffic, and distinguish link failures in efficient way. Aside from the flexibility introduced by SDN, also it is prone to attacks like distributed denial of service attacks (DDoS), that could bring the entire network to a halt. To reduce this threat, the paper introduces machine learning model to distinguish legitimate traffic from DDoS traffic. After preprocessing phase to dataset, the traffic is classified into one of the classes. We achieved an accuracy score of 99.95% by employing an optimized extremely randomized trees (ERT) classifier, as described in the paper. As a result, the goal of traffic flow classification using machine learning techniques was achieved.
Pedestrian mobility management for heterogeneous networks
Mohammed Hicham Hachemi;
Sidi Mohammed Hadj Irid;
Miloud Benchehima;
Mourad Hadjila
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v28.i3.pp1530-1540
Pending the arrival of the next generation of 5G which is not yet deployed insome countries like Algeria, 4G LTE remains one of the main mobile networks to ensure adequate quality services. Mostly, the deployment of femtocells to support the macrocell structure is crucial in the handover decision process. This paper presents a new approach called the epsilon Kalman Filter with normalized least-mean-square (ϵKFNLMS) to realize the handoff triggering in two-tier long-term evolution networks to ensure communication continuity to the pedestrian UE and improve mobility management. ϵKFNLMS uses a two-step process: a tracking process and a prediction process, to produce an optimal future state estimate at ”t+p”, where ”p” is the prediction footstep. The tracking process is performed by the Kalman filter, known for its precision in the state of the signal at time ”t”. It perfectly reduces the estimation error, injected afterward in the variable step-size NLMS algorithm (VSS-NLMS). While the predictionprocess is performed by the VSS-NLMS algorithm, an adaptive filterknown for its prediction of the future state at ”t+p”. Thus, the goal is to achieve a faster convergence with a steady-state. ϵ value provides a precise setting of the handover trigger. Through different numerical simulations in several indoor environments, the results show that the performance and effectiveness of the proposed approach (ϵKFNLMS) provide lower mean square error (MSE), stable physical appearance in the prediction process (convergence with a steady-state), and excellent speed of convergence compared to the classical Normalized LMS (NLMS) and Li-NLMS adaptive filters.
A bio inspired maximum power point tracking controller for PV systems under partial shading conditions
Titri Sabrina;
Azli Hadjer;
Izeboudjen Nouma;
Larbes Cherif
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v28.i3.pp1425-1436
Maximum power point tracking (MPPT) is a technique used in extracting the maximum power from a photovoltaic panel (PV) under different weather conditions. The last decade has witnessed a wide variety of algorithm based on MPPT controllers, ranging from simple to more complexe ones. Each of them has its own advantage and disadvantage. Hence, it is crutial to propose methods that are both simple and effective to track and maintain the MPPT of a PV system, even under partial shading conditions. In this study, we propose a new bio inspired method namely seagull optimization algorithm (SOA) for solving the MPPT problem in a PV system. To evaluate the proposed SOA _MPPT performance in terms of accuracy, convergence and stability, a simulation methodology is used. First, by tunning the appropriate parameters, then, we consider the following scenarios: rapid change of solar irradiation, temperature, and three patterns to test partial shading effect. The results are compared with latest bio-inspired methods, namely, particle swarm optimization (PSO), Bat optimisation algorithm (BAT) and fire fly algorithm (FA). The obtained results confirm the effectiveness and robustness of the proposed controller compared to existing conventional and bio inspired controllers.
Google pagerank algorithm: using efficient damping factor
Ali Ali Saber;
Aso Kamaran Omer;
Noor Kaylan Hamid
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v28.i3.pp1633-1639
A vital feature of modern web search engine is the ability to display relevant and reputable pages near the top of the list of query results. A well-used search engine nowadays is Google search engine, it is the world's most popular search engine, rely on PageRank technology to determine a website's ranking. We put our attention on important benefactions to improving the quality of rankings via the value which is called damping factor, commonly the original suggestion d=0.85 by Brin and Page is the most common choice. In this paper, we suggest a new value which plays an important role to rank web sites accurately, our work focuses on damping factor value which improves the efficiency of PageRank value for each website. Our results show that the suggested value can get greater performance. Finally, we will show satisfactory result without link spam and dangling node applying PageRank algorithm on graphs with over 5000 links.
Best Proximity Point Results for Generalization of α ̌–η ̌ Proximal Contractive Mapping in Fuzzy Banach Spaces
Raghad I. Sabri;
Buthainah A. Ahmed
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v28.i3.pp1451-1462
The best proximity point is a generalization of a fixed point that is beneficial when the contraction map is not a self-map. On other hand, best approximation theorems provide an approximate solution to the fixed-point equation Tҳ = ҳ. It is used to solve the problem to determine an approximate solution that is optimum. The main goal of this paper is to present new types of proximal contraction for nonself mappings in a fuzzy Banach space. At first, the notion of the best proximity point is presented. We introduce the notion of α ̌–η ̌-β ̌ proximal contractive. After that, the best proximity point theorem for such type of mappings in a fuzzy Banach space is proved. In addition, the concept of α ̌–η ̌-φ ̌ proximal contractive mapping is presented in a fuzzy Banach space and under specific conditions, the best proximity point theorem for such type of mapping is proved. Additionally, some examples are supplied to show the results' applicability.
Modernisation of DC-DC converter topologies for solar energy harvesting applications: A review
Tole Sutikno;
Hendril Satrian Purnama;
Rizky Ajie Aprilianto;
Awang Jusoh;
Nuryono Satya Widodo;
Budi Santosa
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v28.i3.pp1845-1872
Solar photovoltaic (PV) power generation has become increasingly important as a renewable source of energy due to the many benefits it offers. These benefits include the ease with which it can be allocated; the absence of noise; the longer life; the absence of pollution; the shorter amount of time required for installation; the high mobility and portability of its parts; and the capability of its output power to meet peak load requirements. DC-DC converters are typically incorporated into solar energy harvesting systems because they allow for the more efficient exploitation of solar cells. One of the difficulties is in the selection of a suitable converter since this has an effect on the operation of the PV system. This study discusses the modernisation of several different DC-DC converter topologies for solar energy harvesting systems. Some of these topologies are boost, buck-boost, single-ended primary-inductance converter (SEPIC), Cuk, and flyback. The topologies have been compared so that detailed information on the complexity of the hardware, the cost of implementation, the efficiency of the energy transfer elements, the tracking efficiency, and the efficiency of the converters can be provided. This paper will be useful as a handy reference in choosing the best converter topology for solar energy harvesting applications.
Experiment analysis of non-uniformity measurement by array detector scanning system
Napat Watjanatepin;
Patcharanan Sritanauthaikorn;
Chaiyant Boonmee;
Paiboon Kiatsookkanatorn;
Sarayoot Thongkullaphat;
Suvinai Sodajaroen
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v28.i3.pp1369-1380
Solar simulator is used to analysis characteristic of the solar cells. The non-uniformity is its major performance. The traditional non-uniformity measurement calls single detector method. The paper’s objective is to design and construct an array detector scanning system and to determine the optimal scanning time to achieve the lowest uncertainty. To investigate the non-uniformity by our proposed method and the traditional method, our detector consisted of eight photodiodes mounted on an arm of a linear motion lead screw to guide the detector scaning onto the lighting area. A microcontroller applied for controling and measuring light irradiance in 64 points corresponding to IEC 60904-9 standard. The results showed that the array detector scanned at a speed of 33.33 mm/s to obtain the non-uniformity with the lowest uncertainty, less than 0.6%. Analysis results of the non-uniformity obtained from our system on the test areas of (mm×mm) 156×156, 166×166 and 200×200 compared with the single detector. It showed that the mean absolute error was 1.27. Our system provided a lower uncertainty than the traditional method. The measurement accuracy was acceptable. The advantage is for testing on different test areas within a single device. The measurement time is around 1/32 of the traditional method.
Improvement of the LTE handover algorithms in terms of quality of service
Samia Hakkou;
Tomader Mazri;
Nabil Hmina
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v28.i3.pp1720-1729
With the emergence of new possibilities and user requirements in the field of mobile technology, long term evolution (LTE) is the most popular as it offers high-speed service. LTE is a 4G wireless network developed by the 3rd generation partnership project (3GPP). The implementation of LTE is strongly affected by the quality of service (QoS) when transfer management is the main issue. Handover management allows communication to be maintained when switching from one base station to another. In this paper, we explain that there are several types of transfers that are not efficient in terms of quality of services such as throughput, signal-to-interference-plus-noise ratio (SINR), and latency. For this purpose, we thought of creating a new algorithm on the A1 and A3 events and the reference signal received quality (RSRQ). Our algorithm is effective compared to other already available algorithms using the NS3 network simulator.
Quadruple band MIMO dielectric resonator antenna for 5G SUB-6 GHz applications
Nur Atika Bazadry;
Hasliza A. Rahim;
Mohd Najib Mohd Yasin;
Mohamedfareq Abdulmalek
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v28.i3.pp1554-1562
A quadruple band with L-slotted MIMO square dielectric resonator antenna (SDRA) for Fifth Generation (5G) applications at the sub-6 GHz band which can cover 5G New Radio band N77 (3.3 – 4.2) GHz and N79 (4.4 – 5) GHz. The proposed structure consists of a single SDRA which mounted on a substrate excited by an aperture slot underneath Dielectric Resonators (DR)s. The performance of SDRA is improved by introducing L shaped slots on the central part of DRA. Results show that the MIMO SDRA antenna achieves |S11|< -10 dB and S21<= -15 dB for all resonant frequencies at 3.5 GHz, 4 GHz, 4.6 GHz and 5 GHz, indicating a good performance of the antenna at the desired frequencies. The maximum realized gain is 5.61 dB and 5.01 dB at port 1, 4 GHz and port 2, 4.6 GHz, respectively. The radiation efficiencies are acceptable for all resonant frequencies. Moreover, a low (< 0.1) envelop correlation coefficient, and about 10 dB of diversity gain at both desired frequencies. Thus, the antenna can be used for 5G sub-6 GHz applications.
Information management system for research of Don Mariano Marcos Memorial State University–South La Union Campus
Ara Rivina N. Malaya;
Emely A. Munar;
Floribeth Panay Cuison;
Enrico G. Dacanay
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v28.i3.pp1668-1675
This study aimed to develop an information management system for research (IMSR) for the South La Union Campus of Don Mariano Marcos Memorial State University. The descriptive-developmental research design was applied, and the rapid application development model was used in the system development. An interview was conducted and ISO/IEC 25010-based questionnaire was employed. Respondents consisted of 37 faculty members and five (5) research office personnel. The researchers were able to develop the intended IMSR and were able to check its acceptability revealing that the system was very acceptable based on the measurement criteria of the ISO/IEC 25010 as to the following characteristics: functional suitability, reliability, usability, efficiency, maintainability, portability, compatibility, and security. The overall result was found that the IMSR is a deployable functional information management system in enhancing the research operations.