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

29,905 Article Results

Power Estimation for Wearable Piezoelectric Energy Harvester

10.12928/telkomnika.v16i3.9034
Noor Hazrin Hany; University Malaysia Mohamad Hanif , Mohd Zulhilmi; University Malaysia Zain , Mas Ehsan; University Malaysia Rohaimie , Huda; University Malaysia Azam
The aim of this research work is to estimate the amount of electricity produced to power up wearable devices using a piezoelectric actuator, as an alternative to external power supply. A prototype of the device has been designed to continuously rotate a piezoelectric actuator mounted on a cantilever beam. A MATLAB® simulation was done to predict the amount of power harvested from human kinetic energy. Further simulation was conducted using COMSOL Multiphysics® to model a cantilever beam with piezoelectric layer. With the base excitation and the presence of tip mass at the beam, the natural frequencies and mode shapes have been analyzed to improve the amount of energy harvested. In this work, it was estimated that a maximum amount of power that could be generated is 250 μW with up to 5.5V DC output. The outcome from this research works will aid in optimising the design of the energy harvester. This research work provides optimistic possibility in harvesting sufficient energy required for wearable devices.
Volume: 16
Issue: 3
Page: 983-988
Publish at: 2018-06-01

Effect of Dew and Raindrops on Electric Field around EHV Transmission Lines

10.12928/telkomnika.v16i3.5408
Budi; National College Technology of Yogyakarta (STTNAS) Utama , Asniar; National College Technology of Yogyakarta (STTNAS) Aliyu
This paper analyses the change of electric field in the proximity of 500 kV extra high voltage (EHV) transmission lines, in the presence of raindrops and dew. The computations were carried out using MatLab software by solving the electrostatic equations. The analysis depicts that the spatial distribution of the electric field strength varies with water drop content along the lateral distance along the transmission line. The peak electric field reduces with the water drop content, whereas the electric field remains the same at around 36 m from the transmission line. Then onwards the field strength increases with the water drop content. At long distances the field strength is not affected by the water drops. Such variation is highly important to analyse the adverse effects on the insulators used in HV applications. The results are of high significance to a country such as Indonesia where the precipitation levels are generally high in most parts of the country.
Volume: 16
Issue: 3
Page: 974-982
Publish at: 2018-06-01

Comprehensive Pineapple Segmentation Techniques with Intelligent Convolutional Neural Network

10.11591/ijeecs.v10.i3.pp1098-1105
Muhammad Azmi Ahmed Nawawi , Fatimah Sham Ismail , Hazlina Selamat
This paper proposes an intelligent segmentation technique for pineapple fruit using Convolutional Neural Network (CNN). Cascade Object Detector (COD) method is used to detect the position of the pineapple from the captured image by returning the bounding box around the detecting pineapple. Image background such as ground, sky and other unwanted objects have been removed using Hue value, Adaptive Red and Blue Chromatic Map (ARB) and Normalized Difference Index (NDI) methods. However, the ARB and NDI methods are still producing misclassified error and the edge is not really smooth. In this case Template Matching Method (TMM) has been implemented for image enhancement process. Finally, an intelligent CNN is developed as a decision maker to select the best segmentation image ouput from ARB and NDI. The results obtained show that the proposed intelligent method has successfully verified the fruit from the background with high accuracy as compared to the conventional method.
Volume: 10
Issue: 3
Page: 1098-1105
Publish at: 2018-06-01

Self-adaptive Software Modeling Based on Contextual Requirements

10.12928/telkomnika.v16i3.7032
Aradea; Bandung Institute of Technology Aradea , Iping; Bandung Institute of Technology Supriana , Kridanto; Bandung Institute of Technology Surendro
The ability of self-adaptive software in responding to change is determined by contextual requirements, i.e. a requirement in capturing relevant context-atributes and modeling behavior for system adaptation. However, in most cases, modeling for self-adaptive software is does not take into consider the requirements evolution based on contextual requirements. This paper introduces an approach through requirements modeling languages directed to adaptation patterns to support requirements evolution. The model is prepared through contextual requirements approach that is integrated into MAPE-K (monitor, anayze, plan, execute - knowledge) patterns in goal-oriented requirements engineering. As an evaluation, the adaptation process is modeled for cleaner robot. The experimental results show that the requirements modeling process has been able to direct software into self-adaptive capability and meet the requirements evolution.
Volume: 16
Issue: 3
Page: 1276-1288
Publish at: 2018-06-01

Text to Emotion Extraction Using Supervised Machine Learning Techniques

10.12928/telkomnika.v16i3.8387
Muhammad Anwarul; University of Chittagong Azim , Mahmudul Hasan; University of Chittagong Bhuiyan
Proliferation of internet and social media has greatly increased the popularity of text communication. People convey their sentiment and emotion through text which promotes lively communication. Consequently, a tremendous amount of emotional text is generated on different social media and blogs in every moment. This has raised the necessity of automated tool for emotion mining from text. There are various rule based approaches of emotion extraction form text based on emotion intensity lexicon. However, creating emotion intensity lexicon is a time consuming and tedious process. Moreover, there is no hard and fast rule for assigning emotion intensity to words. To solve these difficulties, we propose a machine learning based approach of emotion extraction from text which relies on annotated example rather emotion intensity lexicon. We investigated Multinomial Naïve Bayesian (MNB) Classifier, Artificial Neural Network (ANN) and Support Vector Machine (SVM) for mining emotion from text. In our setup, SVM outperformed other classifiers with promising accuracy.
Volume: 16
Issue: 3
Page: 1394-1401
Publish at: 2018-06-01

Improved Vivaldi Antenna with Radiation Pattern Control Features

10.12928/telkomnika.v16i3.9039
Delphine; Universiti Teknologi Malaysia Abijuru , M.R.; Universiti Teknologi Malaysia Hamid , Ali N.; Universiti Teknologi Malaysia Obadiah
Vivaldi antenna has been considered as a mitigation to the scattering effect of an antenna. However, the current performance of Vivaldi antenna suffers from multipath effect, interfering signals and radiation pattern control. This paper proposed an improved Vivaldi antenna which combined triple radiating slot to enable control of radiation pattern features. This is accomplished by controlling the position of the radiating element through the asymmetric arrangement of ideal switches to steer the beam in three desired-directions. The Using operating frequency lied between 900 MHz and 2.5GHz, the proposed design was fabricated and tested. Depending on the radiating element, the proposed antenna covered about ±90º with an almost equal gain at the three different focal in contrast to ±45º coverage of traditional rectangular microstrip antenna beam. The results satisfied pattern reconfigurability and the proposed design can be very useful for wireless communications where multipath fading problems are frequently encountered.
Volume: 16
Issue: 3
Page: 1143-1149
Publish at: 2018-06-01

Weighted Ensemble Classifier for Plant Leaf Identification

10.12928/telkomnika.v16i3.7615
R. Putri; Bogor Agricultural University Ayu Pramesti , Yeni; Bogor Agricultural University Herdiyeni , Anto Satriyo; Bogor Agricultural University Nugroho
Plant leaf identification using image can be constructed by ensemble classifier. Ensemble classifier executes classification of various features independently. This experiment utilized texture feature and geometry feature of plant leaf to find out which features are more powerful. Each classifier trained by specific feature produced different accuracy rate. To integrate ensemble classifier the results of the classification were weighted, so as the score obtained from better features contributed greater to the final results. Weighted classification results were combined to get the final result. The proposed method was evaluated using dataset comprises of 156 variety of plants with 4559 images. Weighting and combining classifier used in this study were Weighted Majority Vote (WMV) and Naïve Bayes Combination. Both of those method result showed better accuracy than using single classifier. The average accuracy of single classifier was 61.2% for geometry classifier and 70.3% for texture classifier, while WMV method was 77.8% and Naïve Bayes Combination was 94.6%. The calculation of classifier’s weight by using WMV method produces a weight value of 0.54 for texture feature classifier and 0.46 for geometry feature classifier.
Volume: 16
Issue: 3
Page: 1386-1393
Publish at: 2018-06-01

The Implementation of E-Learning System Governance to Deal with User Need, Institution Objective, and Regulation Compliance

10.12928/telkomnika.v16i3.8699
Mujiono; Universitas Mercu Buana Sadikin , Purwanto; Universitas Mercu Buana SK
In this digital era, it has been proven that the proper of e-learning system implementation provides various advantages and huge benefits. But to achieve the proper implementation is not an easy way since there are many obstacles have to be addressed. Beside the benefits and advantages, such as the other IT based system, e-learning also bring many risks that come from its environment or embedded in. Although many methods or approaches proposed to tackle those obstacles and risks, but the study that tackle those problems from IT Governance view is still limited. The study presents the report of the IT Governance approach to address some of the risks of eLearning system implementation such as: miss alignment with the enterprise goal and strategies, uncomplianceness with the government regulation, and unmatched with the stakeholder needs. The governance of eLearning system proposed has been implemented in the private university situated in Jakarta, Indonesia for two semesters. Based on the general observation, the University can get some benefits such as their succeed in maintaining its institution as the university that comply with government regulatory.
Volume: 16
Issue: 3
Page: 1332-1344
Publish at: 2018-06-01

Enhanced Fertigation Control System towards Higher Water Saving Irrigation

10.11591/ijeecs.v10.i3.pp859-866
Muhammad Khairie Idham Abd Rahman , Mohamad Shukri Zainal Abidin , Salinda Buyamin , Mohd Saiful Azimi Mahmud
Water saving in agriculture is increasingly important due to critical issues of water and climatic crisis. The focus of agricultural researches nowadays is to minimize the water consumption and at the same time increasing the agricultural yield.   This paper presents the three-types of automatic fertigation controller for irrigation system with different application tools. A weather station, soil moisture and timer based system were used to determine the volume of water supply needed by plants to calculate an accurate irrigation operation timing. The experiment was conducted by supplying water for capsicum annum test crop located in a greenhouse. The plant water demand parameter was calculated and compared for each application tools and the best application tool was chosen to be implemented in controlling the irrigation system.
Volume: 10
Issue: 3
Page: 859-866
Publish at: 2018-06-01

Behavioral Analysis for Detecting Code Clones

10.12928/telkomnika.v16i3.4442
Bayu; Brawijaya University Priyambadha , Siti; Institut Teknologi Sepuluh Nopember Rochimah
The activities of copy and paste fragments of code from a source code into the other source code is often done by software developers because it's easier than generate code manually. This behavior leads to the increase of effort to maintain the code. One of the detection methods of semantic cloning is based on the behavior of the code. The code behavior detected by observing at an input, output and the effects of the method. Methods with the same value of input, output, and effect will indicate that semantically the same. However, the detection method based on the input, output, and effect could not be used in a void method or method without parameters, another side comprehensively detection is required. The challenge is how to detect which variable in a method that acts as input, output, and effect. Detection of the variable input, output, and effects in a void method done using Program Dependence Graph. The use of clone detection methods semantically based on behavior can increase the agreement value.
Volume: 16
Issue: 3
Page: 1264-1275
Publish at: 2018-06-01

Effect of the Thickness of High Tc Superconducting Rectangular Microstrip Patch over Ground Plane with Rectangular Aperture

10.11591/ijece.v8i3.pp1611-1617
Nabil Boukhennoufa , Lotfi Djouane , Houcine Oudira , Mounir Amir , Tarek Fortaki
In recent years, a great interest has been observed in the development and use of new materials in microwave technology. Particularly, a special interest has been observed in the use of superconducting materials in microwave integrated circuits, this is due to their main characteristics. In this paper, the complex resonant frequency problem of a superconductor patch over Ground Plane with Rectangular Aperture is formulated in terms of an integral equation, the kernel of which is the dyadic Green’s function. Galerkin’s procedure is used in the resolution of the electric field integral equation. The surface impedance of the superconductor film is modeled using the two fluids model of Gorter and Casimir. Numerical results concerning the effect of the thickness of the superconductor patch on the characteristics of the antenna are presented.
Volume: 8
Issue: 3
Page: 1611-1617
Publish at: 2018-06-01

Development of Fuzzy Logic Control for Indoor Lighting Using LEDs Group

10.12928/telkomnika.v16i3.8048
M.; Universitas Negeri Yogyakarta Khairudin , S.; Universitas Negeri Yogyakarta Riyanto , Z.; Universiti Teknologi Malaysia Mohammed
This paper presents the design and the development of an indoor lighting control based on fuzzy logic controller (FLC). The objective of this study is to demonstrate how the FLC can optimize the lighting based on indoor and outdoor lighting environments. The FLC system uses two inputs with Light Dependent Resistors (LDR) as a sensor at indoor and outdoor lighting environments. The output is Light Emitting Diodes (LEDs) to provide lighting at the room automatically. The Pulse Width Modulation (PWM) is used to adjust the LEDs lighting in the room. FLC has successfully demonstrated performance to control the output of LEDs as needed. If the LDR 1 input as indoor sensor shows dim, it will automatically turn on brightly. The MSE values for simulation and experiment of LDR 1 and LDR 2 were 34.42 and 30.11 respectively. The results of FLC performance in the simulation work are further validated by an experimental work. Experimental results show similarities compared to the simulation results.
Volume: 16
Issue: 3
Page: 1165-1173
Publish at: 2018-06-01

New Trends in Internet of Things, Applications, Challenges, and Solutions

10.12928/telkomnika.v16i3.8483
Yousra Abdul; University of Baghdad Alsahib S.aldeen , Kashif Naseer; Bahria University Qureshi
Internet of things (IoT) refers to an innovation and advance field to introduce a new concept of technologies with various potential advantages. In IoT, different types of diverse smart devices and gadgets with smart communication interfaces are connected with each other and offers the plethora of services in our daily life. IoT has gained attention in all fields of life like e-home, e-commerce, e-health, smart grids, intelligent transportation systems, and e-governance. The objects in IoT increasing preponderance of entities and transform objects into new and real-world objects. In this review paper, we discuss the new trend in IoT, its applications and recent challenges and their solutions. In addition, the paper also elaborates the existing systems, IoT architecture and technical aspects with future trends in the field. This review will be helpful to new researchers to find the existing technologies and challenges in order to continue their research in the field.
Volume: 16
Issue: 3
Page: 1114-1119
Publish at: 2018-06-01

On-Body Transmission Single-Band Diamond Dipole Antenna with Waveguide Jacket

10.11591/ijeecs.v10.i3.pp1212-1220
M. A. Abdullah , M. K. A Rahim , N. A. Samsuri , K. Kamardin
This paper presents the investigation of on-body transmission single-band diamond dipole antenna with three different jackets. The jackets are named as normal jacket, grounding jacket and waveguide jacket. The on-body transmission is measured using two flexible single-band antennas attach to the jackets. A man with the height of 180 cm and 75 kg weight becomes as a model for the real measurement. The measurement is conducted in small space area by using portable network analyzer with flexible network cable. The measurement results show that the best performance for on-body transmission is with waveguide jacket. 10 dB transmission improvement is archived when the antenna is placed above the waveguide jacket compared to the normal jacket. It is found that the transmission of the antenna is also depends on the antenna orientation and further transmission lossess occur when the antennas are placed above the grounding jacket.
Volume: 10
Issue: 3
Page: 1212-1220
Publish at: 2018-06-01

A Simple Classifier for Detecting Online Child Grooming Conversation

10.12928/telkomnika.v16i3.6745
Fergyanto E.; Bina Nusantara University Gunawan , Livia; Bina Nusantara University Ashianti , Nobumasa; Toyohashi University of Technology Sekishita
The massive proliferation of social media has opened possibilities for the perpetrator conducting the crime of online child grooming. Because the pervasiveness of the problem scale, it may only be tamed effectively and efficiently by using an automatic grooming conversation detection system. The current study intends to address the issue by using Support Vector Machine and k-nearest neighbors’ classifiers. Besides, the study also proposes a low-computational cost classification method, which classifies a conversation using the number of the existing grooming conversation characteristics. All proposed methods are evaluated using 150 textual conversations of which 105 are grooming, and 45 are non-grooming. We identify that grooming conversations possess 17 features of grooming characteristics. The results suggest that the SVM and k-NN can identify grooming conversations at 98.6% and 97.8% of the level of accuracy. Meanwhile, the proposed simple method has 96.8% accuracy. The empirical study also suggests that two among the seventeen characteristics are insignificant for the classification.
Volume: 16
Issue: 3
Page: 1239-1248
Publish at: 2018-06-01
1 2 3
...
1993 1994
Show 1443 of 1994

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