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29,734 Article Results

Wireless Sensor Network Design for Earthquake’s and Landslide’s Early Warnings

10.11591/ijeecs.v11.i2.pp437-445
Haziel Latupapua , Andrias Izaac Latupapua , Abdi Wahab , Mudrik Alaydrus
Indonesia including the earthquake-prone areas because Indonesia is situated between three tectonic plates and in the Maluku island it self has a fault line 10 zones, the impact of frequent tectonic earthquake on the island of Maluku resulted in a domino effect, such as the frequent occurrence of soil landslides at several points in the city of Ambon, and due to faults that occur lead ease rising sea levels to population centers so Ambon was becoming flooded. This research aims to design and analyzing measurements of earthquake monitoring system indication and landslides integrated via Wireless Sensor Network (WSN) by implementing a star topology, technology, ZigBee, WiFi technology Shield and GPRS (General Packet Radio Service). Researchers technology utilizes Wireless Sensor Network (WSN) to acquire and distribute widely the data to be monitored and controlled centrally.By detecting suspicious indicators such as tremor or landslides through nodes or end devices, the system provides information to the number of monitors and warnings. The system can also be accessed in real-time via the website by accessing the IP address of the Wireless-LAN devices Wi-Fi Arduino Shield.
Volume: 11
Issue: 2
Page: 437-445
Publish at: 2018-08-01

RF Simulations for AAβ Cryptosystem, an Asymmetric Encryption Scheme

10.11591/ijeecs.v11.i2.pp542-548
Syed Farid Syed Adnan , Mohd Anuar Mat Isa , Habibah Hashim
Internet of Things (IoT) is a way of providing data with the physical thing that interconnected to the network, which is the Internet. The IoT devices connected to the internet, broadcast of the data to the broker or a server, becomes an open route for attackers to gain the data and making the data becomes vulnerable. Thus, the data could be altered or spoofed by an attacker which led to security issues especially on data integrity. Therefore, the data security collected from the sensors is as important as on the servers that eventually become the big data. However, most sensors are low powered devices in term of CPU, storage, memory and batteries that cryptographic algorithm computations might give overhead to the sensors and reduce the batteries even faster than it is supposed to be. Instead of looking at symmetric encryption scheme, this paper tries to explore the capabilities of the asymmetric scheme on resource constrained devices communications. Thus, this paper presents an RF communication analysis of a low consumption asymmetric encryption, the AAβ (AA-Beta) that promising to implement on the IoT devices to secure the IoT networks. The result shows only 14% size increased in ciphertext from plaintext and the RF simulation communications show a better result in Raspbian OS environment compare to windows environment even though with same configurations
Volume: 11
Issue: 2
Page: 542-548
Publish at: 2018-08-01

The Study of Stresses on Soil From Roadways Using Plaxis To Generate Potential Energy With Piezoelectric

10.11591/ijeecs.v11.i2.pp755-760
A.J.M.S. Lim , S.Y. Sim , Anting, N. , J. Prasetijo , T. I. T Noor Hasanah , H.H. Goh , Y.M.Y. Buswig , C.C. Kang
Environmental resources exploitation is one of the critical problems in environmental engineering. The overuse of environmental resources can lead to a huge impact for the environment and human itself. The problems of extracting and processing of raw materials from earth such as mining, steam power and machinery has increased year by year and this is the main reason that the resources has become very limited for the future generations to use them. This study is focused in designing a roadway through software analysis which will use the concept of piezoelectricity that will convert the stress energy from the roadways into electrical energy. A software which is called PLAXIS 2D will be used to simulate the stresses from the roadway which are caused by moving vehicle loading. The parameters of laterite and clay soil such as Specific Gravity, Liquid Limit, Friction Angle and Cohesion are obtained from the past research is needed for the input of the software. The loading application in the PLAXIS 2D uses the Mohr-Coulomb failure criterion in which fully drained and axisymmetric conditions were assumed. A non-uniform grid with 1726 elements was performed for the calculations on a 2-dimensional cross-sections of 11m x 3m roadway. The stresses resulted from the software are used to determine the value of stresses required for the piezoelectric to convert the stress energy into electrical energy.
Volume: 11
Issue: 2
Page: 755-760
Publish at: 2018-08-01

Modelling and Control Design for Energy Management of Grid Connected Hybrid PV-wind System

10.11591/ijape.v7.i2.pp166-180
Hassan Abouobaida , Said El Bied
This paper deals with the control of hybrid PV-WIND power conversion structure. This paper develops a very important contribution which is the use of a single DC to DC converter, linearization of control of the three- level boost converter (TLBC) considering the imperfections of the passive components. The (TLBC) control provides balancing of capacitor voltages and maximum power operation of PV generator. For reasons of simplicity, a linearization based on the dynamic compensation of the disturbance is proposed. A sensorless maximum power point tracking (MPPT) algorithm is used to maximize a power extracted of the wind generator. The proportional relation between the rotational speed and the output voltage of the rectifier allows to use a voltage sensor to estimate the DC bus voltage reference instead of a mechanical speed sensor. The control of the three-phase inverter allows a transfer of the active power, the power factor close to the unit and thus a limitation of the reactive power injected into the grid. The external control loop performs the regulation of the common DC bus voltage while the internal control loop regulates the dq components of the currents injected into the grid. The simulation results showed the validity of the control approach. The proposed power conversion structure based on a single static converter has shown very good performance in terms of efficiency, the quality of the energy produced, complementarity between the two renewable sources and reliability. The paper ends with conclusions.
Volume: 7
Issue: 2
Page: 166-180
Publish at: 2018-08-01

Reliability worth Assessment of Active Distribution System Considering Protective Devices and Multiple Distributed Generation Units

10.11591/ijape.v7.i2.pp111-119
Subramanya Sarma S , V. Madhusudhan , V. Ganesh
Reliability worth assessment is a primary concern in planning and designing of electrical distribution systems those operate in an economic manner with minimal interruption of electric supply to customer loads. Renewable energy sources (RES) based Distributed Generation (DG) units can be forecasted to penetrate in distribution networks due to advancement in their technology. The assessment of reliability worth of DG enhanced distribution networks is a relatively new research area. This paper proposes a methodology that can be used to analyze the reliability of active distribution systems (DG enhanced distribution system) and can be applied in preliminary planning studies to compute the reliability indices and statistics. The reliability assessment in this work is carried out with analytical approach applied on a test system and simulated results validate that installation of distributed generators can improve the distribution system reliability considerably.
Volume: 7
Issue: 2
Page: 111-119
Publish at: 2018-08-01

Solar Energy System Based Impedance-Source Inverter for Grid Connected System

10.11591/ijape.v7.i2.pp129-138
S Kamalakkannan , D. Kirubakaran
In this work, the fickleness of solar energy can be overcome by using Maximum Power Point Tracking algorithm (MPPT). Perturb and Observation (P&O) MPPT algorithm accomplish fast the maximum power point for rapid change of environmental conditions such as irradiance intensity and temperature. The MPPT algorithm applied to solar system keep the boost converter output constant. Output from boost converter is taken to three phase impedance-source inverter with RL load and grid system. Impedance-source inverter performs the transformation of variable DC output of the solar system in to near sinusoidal AC output. This near sinusoidal AC output consecutively is served to the RL load first and then to grid system. The simulation is carried out in matlab/simulink platform both for RL load and grid system and the simulation results are experimentally validated for RL load arrangement only.
Volume: 7
Issue: 2
Page: 129-138
Publish at: 2018-08-01

Sensorless Control of Brushless Doubly-Fed Generator Using Luenberger Observer Based Wind Energy Conversion Systems

10.11591/ijape.v7.i2.pp188-198
Hicham Serhoud , Djilani Benattous
This paper investigates the use of Luenberger observer for sensorless power control of brushless double fed induction machine (BDFM) in wind energy conversion systems, the control strategy for flexible power flow control is developed by applying flux oriented vector control (technique), In order to estimate the rotor speed, an adaptive algorithm based on Lyapunov stability theory will be design. Finally the analyzed and simulation results in MATLAB/ Simulink platform confirmed the good dynamic performance of this new sensorless control for BDFG based variable speed wind turbines.
Volume: 7
Issue: 2
Page: 188-198
Publish at: 2018-08-01

An Efficient Schema of a Special Permutation Inside of Each Pixel of an Image for its Encryption

10.11591/ijeecs.v11.i2.pp496-503
Hana Ali-Pacha , Naima Hadj-Said , Adda Ali-Pacha , Mustafa Mamat , Mohamad Afendee Mohamed
The developments of communications and digital transmissions have pushed the data encryption to grow quickly to protect the information, against any hacking or digital plagiarisms. Many encryption algorithms are available on the Internet, but it's still illegal to use a number of them. Therefore, the search for new the encryption algorithms is still current. In this work, we will provide a preprocessing of the securisation of the data, which will significantly enhance the crypto-systems. Firstly, we divide the pixel into two blocks of 4 bits, a left block that contains the most significant bit and another a right block which contains the least significant bits and to permute them mutually. Then make another permutation for each of group. This pretreatment is very effective, it is fast and is easy to implement and, only consumes little resource.
Volume: 11
Issue: 2
Page: 496-503
Publish at: 2018-08-01

Meleagris Gallopavo Algorithm for Solving Optimal Reactive Power Problem

10.11591/ijape.v7.i2.pp99-110
K. Lenin
In this paper, Meleagris Gallopavo Algorithm (MGA) is proposed for solving optimal reactive power problem.As a group-mate Meleagris gallopavo follow their poultry to  explore food,  at the same time it prevent the  same ones  to eat their own food. Always the overriding individuals have the lead to grab more food and Meleagris gallopavo would arbitrarily pinch the high-quality food which has been already found by other Meleagris gallopavo. In the region of the mother Meleagris gallopavo, Poults always search for food. In the Projected Meleagris Gallopavo Algorithm (MGA) additional parameters are eliminated, in order to upsurge the search towards global optimization solution.Proposed Meleagris Gallopavo Algorithm (MGA) has been tested on two modes a. with the voltage stability Evaluation in standard IEEE 30 bus test system, b. Without voltage stability Evaluation in standard IEEE 30, 57,118 bus test systems & practical 191 test system. Simulation results show clearly the better performance of the proposed Meleagris Gallopavo Algorithm (MGA) in reducing the real power loss, enhancement of static voltage stability Index and particularly voltage profiles within the specified limits.
Volume: 7
Issue: 2
Page: 99-110
Publish at: 2018-08-01

Evaluation of Water Content in Milk Using Microwave Transmission Approach with Horn Antenna

10.11591/ijict.v7i2.pp77-81
Ashok. Ja , Kiran Patil
As the diary industries delivery the milk to consumer bottles in pouches the thickness of the milk is varied with each company. The microwave transmission line approach with horn antenna is introduced as an effective method for the assessment of milk for the first time with different frequency. The electrical permittivity is an intrinsic parameter of a material that can be used as an index of delivered water content. For the permittivity calculation, we use horn antenna transmitter and receiver in microwave frequency .The microwave travelled via the milk according to its thickness. A design of horn antenna and its minimum distance transmission length is followed to evaluate the thickness of milk. The dissipated power is calculated with the help of VSWR meter in decibel. The results are plotted with different microwave frequency with unique wave length with unique concentration of water with milk. Mat lab is used to plot the graph. The effects exhibit that the milk thickness makes the wave travel of microwave produces the decibel value changes at the output. The measurements demonstrate that the permittivity of milk increases with increased added water. A relationship between the added water content and the permittivity of milk -water mixture is established, which should be a powerful tool for detecting milk thickness.
Volume: 7
Issue: 2
Page: 77-81
Publish at: 2018-08-01

Mobile Application for Electric Power Monitoring on Energy Consumptions at a Campus University

10.11591/ijeecs.v11.i2.pp637-644
Murizah Kassim , Maisarah Abdul Rahman , Cik Ku Haroswati Che Ku Yahya , Azlina Idris
This paper presents a research on electric power monitoring prototype mobile applications development on energy consumptions in a university campus. Electric power energy consumptions always are the issue of monitoring usage especially in a broad environment. University campus faces high used of electric power, thus crucial analysis on cause of the usage is needed. This research aims to analyses electric power usage in a university campus where implemented of few smart meters is installed to monitor five main buildings in a campus university. A Monitoring system is established in collecting electric power usage from the smart meters. Data from the smart meter then is analyzed based on energy consume on 5 buildings. Results presents graph on the power energy consume and presented on mobile applications using Live Code coding. The methodology involved the setup of the smart meters, monitoring and data collected from main smart meters, analyzed electrical consumptions for 5 buildings and mobile system development to monitor. A Live Code mobile app is designed then data collected from smart meter using ION software is published in graphs. Results presents the energy consumed for 5 building during day and night. Details on maximum and minimum energy consumption presented that show load of energy used in the campus. Result present Tower 1 saved most eenergy at night which is 65% compared to block 3 which is 8% saved energy although block 3 presents the lowest energy consumption in the working hours and non-working hours. This project is significant that can help campus facility to monitor electric power used thus able to control possible results in future implementations.
Volume: 11
Issue: 2
Page: 637-644
Publish at: 2018-08-01

Ship Speed Estimation using Wireless Sensor Networks: Three and Five Sensors Formulation

10.12928/telkomnika.v16i4.7596
Ajib Setyo; Universitas Indonesia Arifin , Dina Kusuma; Universitas Indonesia Wahyuni , Muhammad; Universitas Indonesia Suryanegara , Muhammad; Universitas Indonesia Asvial
Intrusion detection on the sea is an important surveillance problem for harbor protection, border security, and commercial facilities such as oil platforms, fisheries facilities and other marine wealth. Widely used methods for ship detection are using radar or satellite which is very expensive. Besides the high cost, the satellite image is easy affected by the cloud. And it is difficult to detect small boats or ships on the sea with marine radar due to the noise or clutters generated by the uneven sea surface. In this paper, we propose ship speed estimation by taking advantage of ship-generated wave’s characteristics with Wireless Sensor Network (WSN). We use a grid fashion for sensor node deployment that can be clustered into three and five sensors. We propose the ship speed formulation for each type of claster. We use three sensors, we may expect to improve energy efficiency by involving small number of sensor for detection. We use five sensors, we may expect to improve accuracy of detection. We also propose an algorithm for detection by incorporating individual sensor detection. The individual sensor detection produces a time stamp that records the ship-generated waves intruding the sensors.
Volume: 16
Issue: 4
Page: 1527-1534
Publish at: 2018-08-01

High PV Penetration Impact on European-based LV Residential Network

10.12928/telkomnika.v16i4.9056
Kyairul Azmi; Universiti Teknikal Malaysia Melaka Baharin , Nur Aliah; Universiti Teknikal Malaysia Melaka Isa , Chin Kim; Universiti Teknikal Malaysia Melaka Gan , Meysam; Universiti Teknikal Malaysia Melaka Shamshiri
The impact of high PV penetration into the grid particularly at the distribution side has been extensively studied. However, most of the available research focuses on North American style systems. This project aims to investigate the effect of high PV penetration at a residential area in a European-based distribution network, which is electricity supply system Malaysia is based on. The modeling is done using OpenDSS while the network model used is the IEEE European Low Voltage Test Feeder which consists of 55 loads representing a generic housing area. Each load point is then equipped with a 4 kW PV system-representing a typical size for a house installation. PV output variability is then introduced into the modeling using two sample days of actual irradiance variability obtained from UTeM Malaysia; one for clear day and another for a high variability day. Voltage unbalance, voltage rise and reverse power flow were analyzed. One significant finding of this project is that voltage rise exceeds the standard of 1.05 pu during noon. Besides that, the high variability days significantly affect the mitigation measures required to manage reverse power flow.
Volume: 16
Issue: 4
Page: 1375-1382
Publish at: 2018-08-01

Semi-Supervised Keyphrase Extraction on Scientific Article using Fact-based Sentiment

10.12928/telkomnika.v16i4.5473
Felix Christian; Maranatha Christian University Jonathan , Oscar; Maranatha Christian University Karnalim
Most scientific publishers encourage authors to provide keyphrases on their published article. Hence, the need to automatize keyphrase extraction is increased. However, it is not a trivial task considering keyphrase characteristics may overlap with the non-keyphrase’s. To date, the accuracy of automatic keyphrase extraction approaches is still considerably low. In response to such gap, this paper proposes two contributions. First, a feature called fact-based sentiment is proposed. It is expected to strengthen keyphrase characteristics since, according to manual observation, most keyphrases are mentioned in neutral-to-positive sentiment. Second, a combination of supervised and unsupervised approach is proposed to take the benefits of both approaches. It will enable automatic hidden pattern detection while keeping candidate importance comparable to each other. According to evaluation, fact-based sentiment is quite effective for representing keyphraseness and semi-supervised approach is considerably effective to extract keyphrases from scientific articles.
Volume: 16
Issue: 4
Page: 1771-1778
Publish at: 2018-08-01

Deep Learning for Tuning Optical Beamforming Networks

10.12928/telkomnika.v16i4.8176
Herminarto; Universitas Pertamina Nugroho , Wahyu Kunto; Universitas Pertamina Wibowo , Aulia Rahma; Universitas Pertamina Annisa , Hanny Megawati; Universitas Pertamina Rosalinda
In communication between planes and satellites, Optical Beamforming Networks (OBFNs), which rely on many small and flat Phased Array Antennas (PAAs), need to be tuned in order to receive signals from specific angles. In this paper, we develop a deep neural network representation of tuning OBFNs. The problem of tuning an OBFN is in many aspects similar to training a deep neural network. We present a way to exploit the special structure of OBFNs into deep neural network and an algorithm for tuning OBFNs based on feedback that can be easily measured in real system. Training data, which consists of full signals, can be measured, and therefore is used in this paper. For pilot signals, the desired signal is known explicitly. Given the configuration of OBFNs and all nominal parameters required, it was verified in simulation that the deep neural network can be used to tune large scale OBFNs for any desired delays.
Volume: 16
Issue: 4
Page: 1607-1615
Publish at: 2018-08-01
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