Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

29,758 Article Results

Electricity theft detection framework based on universal prediction algorithm

10.11591/ijeecs.v15.i2.pp758-768
Abdulrahaman Okino Otuoze , Mohd Wazir Mustafa , Ibim Ebianga Sofimieari , Abdulhakeem Mohd Dobi , Aliyu Hamza Sule , Abiodun Emmanuel Abioye , Muhammad Salman Saeed
Electricity theft has caused huge losses over the globe and the trend of its perpetuation constantly evolve even as smart technologies such as smart meters are being deployed. Although the smart meters have come under some attacks, they provide sufficient data which can be analysed by an intelligent strategy for effective monitoring and detection of compromised situations. So many techniques have been employed but satisfactory result is yet to be obtained for a real-time detection of this electrical fraud. This work suggests a framework based on Universal Anomaly Detection (UAD) utilizing Lempel-Ziv universal compression algorithm, aimed at achieving a real-time detection in a smart grid environment. A number of the network parameters can be monitored to detect anomalies, but this framework monitors the energy consumption data, rate of change of the energy consumption data, its date stamp and time signatures. To classify the data based on normal and abnormal behaviour, Lempel-Ziv algorithm is used to assign probability of occurrence to the compressed data of the monitored parameters. This framework can learn normal behaviours of smart meter data and give alerts during any detected anomaly based on deviation from this probability. A forced aggressivemeasure is also suggested in the framework as means of applying fines to fraudulent customers.
Volume: 15
Issue: 2
Page: 758-768
Publish at: 2019-08-01

AUTO-CDD: automatic cleaning dirty data using machine learning techniques

10.12928/telkomnika.v17i4.12780
Jesmeen M. Z.; Multimedia University H. , Abid; Khulna University Hossen , J.; Multimedia University Hossen , J. Emerson; Multimedia University Raja , Bhuvaneswari; Multimedia University Thangavel , S.; Multimedia University Sayeed , Tawsif; Multimedia University K.
Cleaning the dirty data has become very critical significance for many years, especially in medical sectors. This is the reason behind widening research in this sector. To initiate the research, a comparison between currently used functions of handling missing values and Auto-CDD is presented. The developed system will guarantee to overcome processing unwanted outcomes in data Analytical process; second, it will improve overall data processing. Our motivation is to create an intelligent tool that will automatically predict the missing data. Starting with feature selection using Random Forest Gini Index values. Then by using three Machine Learning Paradigm trained model was developed and evaluated by two datasets from UCI (i.e. Diabetics and Student Performance). Evaluated outcomes of accuracy proved Random Forest Classifier and Logistic Regression gives constant accuracy at around 90%. Finally, it concludes that this process will help to get clean data for further analytical process.
Volume: 17
Issue: 4
Page: 2076-2086
Publish at: 2019-08-01

A transition from manual to Intelligent Automated power system operation -A Indicative Review

10.11591/ijece.v9i4.pp2274-2280
Yamanappa N. Doddamani , U. C. Kapale
This paper reviews the transition of the power system operation from the traditional manual mode of power system operations to the level where automation using Internet of Things (IOT) and intelligence using Artificial Intelligence (AI) is implemented. To make the review paper brief only indicative papers are chosen to cover multiple power system operation based implementation. Care is taken there is lesser repeatation of similar technology or application be reviewed. The indicative review is to take only a representative literature to bypass scrutinizing multiple literatures with similar objectives and methods. A brief review of the slow transition from the traditional to the intelligent automated way of carrying out power system operations like the energy audit, load forecasting, fault detection, power quality control, smart grid technology, islanding detection, energy management etc is discussed .The Mechanical Engineering Perspective on the basis of applications would be noticed in the paper although the energy management and power delivery concepts are electrical.
Volume: 9
Issue: 4
Page: 2274-2280
Publish at: 2019-08-01

Energy efficient resources allocations for wireless communication systems

10.12928/telkomnika.v17i4.10135
Vinsensius Sigit; Telkom university Widhi Prabowo , Arfianto; Telkom university Fahmi , Nachwan Mufti; Telkom University Adriansyah , Nur; Telkom University Andini
The energy consumption level of the telecommunication process has become a new consideration in resource management scheme. It is becoming a new parameter in the resource management scheme besides throughput, spectral efficiency, and fairness. This work proposes a power control scheme and user grouping method to keep the rational energy consumption level of the resource management scheme. Inverse water-filling power allocation is a power allocation scheme that optimizes the energy efficiency by giving the power to the user which have good channel conditions. The user grouping method becomes the solution for carrier aggregation (CA) scheme that prevents edge cell user get the resources from the high-frequency carrier. This can prevent energy wastage in the transmission process. This power control scheme and user grouping method can optimize the spectral and energy efficiency without increasing the time complexity of the system.
Volume: 17
Issue: 4
Page: 1625-1634
Publish at: 2019-08-01

Depression and anxiety detection through the closed-loop method using DASS-21

10.12928/telkomnika.v17i4.12619
Setiyo; Universitas Mercu Buana Budiyanto , Harry Candra; Universitas Mercu Buana Sihombing , Fajar Rahayu; Universitas Mercu Buana I. M.
The change of information and communication technology has brought many changes in daily life. The way humans interacting is changing. It is possible to express each form of communication directly and instantly. Social media has contributed data in size, diversity and capacity and quality. Based on it, the idea was to see and measure the tendency of depression and anxiety through social media using the Closed-Loop method using Facebook text mining posts. Through the stages of pre-processing including text extraction using the Naïve Bayes machine learning model for text classification, the early signs of depression and anxiety are measured using DASS-21 parameter. In total, 22,934 Facebook posts were contributed as training and learning data collected from July 2017 until July 2018. As a results, analysis and mapping of social demographics of users that are usually as a trigger of depression, and anxiety, such as grief, illness, household affairs, children education and others are available.
Volume: 17
Issue: 4
Page: 2087-2097
Publish at: 2019-08-01

A low cost spectroscopy with Raspberry Pi for soil macronutrient monitoring

10.12928/telkomnika.v17i4.12775
Suhaila; Universiti Teknologi Malaysia Isaak , Yusmeeraz; Universiti Teknologi Malaysia Yusof , Nor Hafizah; Universiti Tun Hussien Onn Ngajikin , Norhafizah; Universiti Teknologi Malaysia Ramli , Chuan Mu; Universiti Teknologi Malaysia Wen
Soil spectroscopy measurement is widely used to determine the macronutrients content in the soil. Spectrometer is costly equipment and commonly used to determine the transmittance, absorbance or reflectance level of various liquids and opaque solids by measuring the intensity of light as a light source passes through a sample chemical substance. This paper is reported on a low cost experimental assessment of soil macronutrient for soil spectroscopy utilizing Raspberry Pi (RPI) module in visible and near-infrared (NIR) wavelength. The sensitivity measurements are mainly due to the concentration level and the intensity of light emitting diode (LED) light source. The work is focusing on the absorbance spectroscopy particularly on linear relationship to determine the Nitrogen (N), Phosphorus (P) and Potassium (K) content level in soil using colour-developing reagent. The development of low cost and portable RPI based spectrophotometer has created new possibilities to measure the concentration level of the existed soil macronutrient within visible and infrared light wavelength of light sources. The absorbance of light was computed based on Beer-Lambert Law. The low cost RPI based spectrometer costs 80% less than the spectrometer available in the market and is capable of recording the absorbance measurements up to 5 samples. The performance of this prototype shows that it is possible to build the spectrometer using open-source software and hardware by considering the limiting factors such as light transfer to the sample, spectral filtering and the sensitivity due to the signal-to-noise ratio.
Volume: 17
Issue: 4
Page: 1867-1873
Publish at: 2019-08-01

Performance analysis for power-splitting energy harvesting based two-way full-duplex relaying network over nakagami-m fading channel

10.12928/telkomnika.v17i4.11191
Tan N.; Ton Duc Thang University Nguyen , Van-Duc; Nguyen Tat Thanh University Phan , Hoang-Nam; Ton Duc Thang University Nguyen , Minh; Ton Duc Thang University Tran , Tran Thanh; Van Hien University Trang
Energy harvesting relay network is considered as the promising solution for a wireless communication network in our time. In this research, we present and demonstrate the system performance of the energy harvesting based two-way full-duplex relaying network over Nakagami-m fading environment. Firstly, we propose the analytical expressions of the achievable throughput and outage probability of the proposed system. In the second step, the effect of various system parameters on the system performance is presented and investigated. In the final step, the analytical results are also demonstrated by Monte-Carlo simulation. The numerical results demonstrated and convinced the analytical and the simulation results are agreed with each other.
Volume: 17
Issue: 4
Page: 1595-1603
Publish at: 2019-08-01

A weighted least squares consideration for IR-UWB radar based device-free object positioning estimation for indoor environment

10.11591/ijeecs.v15.i2.pp894-901
Terence Jerome Daim , Razak Mohd Ali Lee
Impulse Radio Ultra-Wideband (IR-UWB) radar is a type of radar functioning based on UWB transmission technology that uses an exceedingly wide bandwidth low power impulse signal to continuously transmitting and receiving the impulse signal for object detection within a range. To date, most of the proposed Ultra-Wideband (UWB) transmission technology based object positioning estimation systems for indoor environment depends on objects to be attached with an active UWB devices. In certain circumstances, it is ideal to track objects in passive manner without the requirement of any attached tracking devices or device-free object positioning estimation. IR-UWB radar has shown promising utilization in realizing device-free object positioning estimation for indoor environment.  With this motivation, in this paper a work on weighted least squares consideration for IR-UWB radar based device-free object positioning estimation for indoor environment is presented.
Volume: 15
Issue: 2
Page: 894-901
Publish at: 2019-08-01

Optimal capacitor placement in a distribution system using ETAP software

10.11591/ijeecs.v15.i2.pp650-660
M. J. Tahir , Badri. A. Bakar , M. Alam , M. S. Mazlihum
Mostly loads are inductive in nature in content of distribution side for any power system. Due to which system faces high power losses, voltage drop and reduction in system power factor. Capacitor placement is a common method to improve these factors. To maximize the reduction of inductive load impact, optimal capacitor placement (OCP) is necessary with the objective function of system cost minimization for voltage profile enhancement, power factor improvement and power losses minimization. As OCP is a non-linear problem with equality and inequality limitations, so the stated objective depends upon he placement and sizes of the capacitor banks. Electrical transient analyzer program (ETAP) software is used for the evaluation and modelling the power systems and genetic algorithm (GA) is used as an optimization technique for the minimization of the objective function. In this paper, to show the effectiveness of the technique IEEE 4bus,33bus system and NTDC 220KV real time grid system is modelled and evaluated in terms of objective minimization i-e maximum cost saving of the power system
Volume: 15
Issue: 2
Page: 650-660
Publish at: 2019-08-01

Wide to multiband elliptical monopole reconfigurable antenna for multimode systems applications

10.12928/telkomnika.v17i4.12764
I. H.; Universiti Teknologi Malaysia Idris , M. R.; Universiti Teknologi Malaysia Hamid , K.; Universiti Teknologi Malaysia Kamardin , M. K. A.; Universiti Teknologi Malaysia Rahim
Wideband-multiband reconfigurable elliptical monopole antenna is investigated in this paper. By having conventional elliptical monopole antenna, wideband operating frequency is obtained. With the combination of dual pairs of slotted arms and a band-pass filter on the ground plane of the elliptical monopole, multiband is achieved. Dual-band operating frequencies at 1.6 GHz and 2.6 GHz while wideband operates from 3.35 GHz to 9 GHz. Therefore, wide range of wireless communication systems is obtained from the proposed antenna to support the multiband mode (i.e. GPS and LTE) and UWB systems. Frequency reconfigurable is achieved by controlling the switches integrated on the antenna structure. Simulated results of reflection coefficient, radiation patterns and gain performance are presented. The proposed antenna design is suitable candidate for different wireless communication applications.
Volume: 17
Issue: 4
Page: 1663-1669
Publish at: 2019-08-01

Pre-filters in-transit malware packets detection in the network

10.12928/telkomnika.v17i4.12065
Ban Mohammed; AL-Nahrain University Khammas , Ismahani; Universiti Teknologi Malaysia Ismail , M. N.; Universiti Teknologi Malaysia Marsono
Conventional malware detection systems cannot detect most of the new malware in the network without the availability of their signatures. In order to solve this problem, this paper proposes a technique to detect both metamorphic (mutated malware) and general (non-mutated) malware in the network using a combination of known malware sub-signature and machine learning classification. This network-based malware detection is achieved through a middle path for efficient processing of non-malware packets. The proposed technique has been tested and verified using multiple data sets (metamorphic malware, non-mutated malware, and UTM real traffic), this technique can detect most of malware packets in the network-based before they reached the host better than the previous works which detect malware in host-based. Experimental results showed that the proposed technique can speed up the transmission of more than 98% normal packets without sending them to the slow path, and more than 97% of malware packets are detected and dropped in the middle path. Furthermore, more than 75% of metamorphic malware packets in the test dataset could be detected. The proposed technique is 37 times faster than existing technique.
Volume: 17
Issue: 4
Page: 1706-1714
Publish at: 2019-08-01

Velocity measurement based on inertial measuring unit

10.12928/telkomnika.v17i4.11826
Waru; Brawijaya University Djuriatno , Eka; Brawijaya University Maulana , Hasan; National Sun Yat-sen University Hasan , Effendi Dodi; Lembaga Penerbangan dan Antariksa Nasional Arisandi , Wijono; Brawijaya University Wijono
Vehicles technology have been a priority area of research over the last few decades. With the increasing the use of electronic components in the automotive industry to measure conditions around the vehicle, the focus of automotive technology development is now leading to the development of active technology. Information on the speed of conventional vehicles is generally still obtained based on the rotation of the wheel, but there are weakness in the system that is the diference between wheel and road through vehicle also changes wheel radius of the vehicle due to wind tube air preasure that can change at any time. In this research used Inertial Measuring Unit (IMU) 6 axis (accelerometer and gyroscope) which have been done filtering by using Kalman filter in order to make output sensor value more stable, results obtained at the test of 0 m/s had an RMS error of 0.8696 m/s when elevation is +450; 0.0393 m/s when elevation is 00; and 0.3030 m/s when elevation is -450. this research is expected to be an exploration for the development of a decent system that is suitable to be used as vehicle speed estimator which is as reliable as it is by using an existing speedometer on a ground vehicle generally regardless of slippage and changes in wind capacity on wheels.
Volume: 17
Issue: 4
Page: 1898-1906
Publish at: 2019-08-01

An ingenious invasive weed optimization (IWO) aided maximum power tracking for partially shaded photovoltaic array

10.11591/ijeecs.v15.i2.pp543-553
Sridhar R , Boopathi C.S , Deepanjali Das , Sakshi Agrawal , Hardik Choubisa
The inborn non-direct power voltage trademark bends concerning barometrical temperature and light makes the photovoltaic (PV) source a discontinuous one. Maximum power point (MPPT) following is a procedure through which most extreme accessible power is yielded from the PV for the given purpose of time. Prior, the customary MPPT methods, for example, perturb and observe, incremental conductance, hill climbing and so forth strategies were utilized and these methods stayed inadequate when the PV source is partially shaded (PS), since amid (PS) the power voltage (P-V) bends show different power crests. There wins each possibility that the ordinary calculations will stall out to the local maximum point and the global maximum point won't be accomplished and in this way control misfortune is brought about. The metaheuristic calculations give better arrangements however confront the downside of high weight on processor and enormous number of information prerequisites. In this way, in this paper, a novel calculation in light of invasive weed optimisation (IWO) technique is utilized to locate the Global maximum point for MPPT under in part shaded condition and it is contrasted and its nearby partner differential evolution(DE) MPPT algorithm and furthermore with the very much settled in perturb and observe (P&O) calculation. The proposed calculation is actualized in MATLAB condition and tried on a 3-board PV cluster arrangement of 150 W. The flexibility of the calculation is tried through various experiments and the outcomes demonstrate the effectiveness and exactness of the proposed calculation in finding the global maximum point.
Volume: 15
Issue: 2
Page: 543-553
Publish at: 2019-08-01

Road crack detection using adaptive multi resolution thresholding techniques

10.12928/telkomnika.v17i4.12755
Zuraini; Universiti Teknikal Malaysia Melaka Othman , Azizi; Universiti Kebangsaan Malaysia Abdullah , Fauziah; Universiti Teknikal Malaysia Melaka Kasmin , Sharifah Sakinah Syed; Universiti Teknikal Malaysia Melaka Ahmad
Machine vision is very important for ensuring the success of intelligent transportation systems, particularly in the area of road maintenance. For this reason, many studies had been focusing on automatic image-based crack detection as a replacement for manual inspection that had depended on the specialist’s knowledge and expertise. In the image processing technique, the pre-processing and edge detection stages are important for filtering out noises and in enhancing the quality of the edges in the image. Since threshold is one of the powerful methods used in the edge detection of an image, we have therefore proposed a modified Otsu-Canny Edge Detection Algorithm in the selection of the two threshold values as well as implemented a multi-resolution level fixed partitioning method in the analysis of the global and local threshold values of the image. This is then followed by a statistical measure in selecting the edge image with the best global threshold. This study had utilized the road crack image dataset that were obtained from Crackforest. The results had revealed the proposed method to not only perform better than the conventional Canny edge detection method but had also shown the maximum value derived from the local threshold of 5x5 partitioned image outperforming the other partitioned scales.
Volume: 17
Issue: 4
Page: 1874-1881
Publish at: 2019-08-01

Efficient datamining model for prediction of chronic kidney disease using wrapper methods

10.11591/ijict.v8i2.pp63-70
Ramaswamyreddy A , Shiva Prasad S , K V Rangarao , A Saranya
In the present generation, majority of the people are highly affected by kidney diseases. Among them, chronic kidney is the most common life threatening disease which can be prevented by early detection. Histological grade in chronic kidney disease provides clinically important prognostic information. Therefore, machine learning techniques are applied on the information collected from previously diagnosed patients in order to discover the knowledge and patterns for making precise predictions. A large number of features exist in the raw data in which some may cause low information and error; hence feature selection techniques can be used to retrieve useful subset of features and to improve the computation performance. In this manuscript we use a set of Filter, Wrapper methods followed by Bagging and Boosting models with parameter tuning technique to classify chronic kidney disease. The capability of Bagging and Boosting classifiers are compared and the best ensemble classifier which attains high stability with better promising results is identified.
Volume: 8
Issue: 2
Page: 63-70
Publish at: 2019-08-01
1 2 3
...
1983 1984
Show 1262 of 1984

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration