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29,602 Article Results

Heuristic Based Power Consumption Minimisation and Optimisation on Smartphones

10.11591/ijeecs.v9.i2.pp345-346
Suresh G B , D Mathivanan
In the direction of capable save the energy of battery life in Smartphone accurate with sensible influence form of Wi-Fi data communication in infrastructure mode. The network environment parameters like still time in a 3G system the network throughput and the convey pattern have been accepted all through measurement study the collective impact of an issue has not been systematical.
Volume: 9
Issue: 2
Page: 345-346
Publish at: 2018-02-01

A Survey: Space Vector PWM (SVPWM) in 3φ Voltage Source Inverter (VSI)

10.11591/ijece.v8i1.pp11-18
Shalini Vashishtha , K.R. Rekha
Since last decades, the pulse width modulation (PWM) techniques have been an intensive research subject. Also, different kinds of methodologies have been presented on inverter switching losses, inverter output current/ voltage total harmonic distortion (THD), inverter maximum output of DC bus voltage. The Sinusoidal PWM is generally used to control the inverter output voltage and it helps to maintains drive performance. The recent years have seen digital modulation mechanisms based on theory of space vector i.e. Space vector PWM (SVPWM). The SVPWM mechanism offers the enhanced amplitude modulation indexes (MI) than sinusoidal PWM along with the reduction in the harmonics of inverter output voltage and reduced communication losses. Currently, the digital control mechanisms have got more attention than the analog counterparts, as the performance and reliability of microprocessors has increased. Most of the SVPWM mechanisms are performed by using the analog or digital circuits like microcontrollers and DSPs. From the recent study, analysis gives that use of Field Programmable Gate Arrays (FPGA) can offer more efficient and faster solutions. This paper discusses the numerous existing research aspects of FPGA realization for voltage source inverter (VSI) along with the future line of research.
Volume: 8
Issue: 1
Page: 11-18
Publish at: 2018-02-01

Computer Aided Diagnosis for Screening the Shape and Size of Leukocyte Cell Nucleus based on Morphological Image

10.11591/ijece.v8i1.pp150-158
Retno Supriyanti , Alfin Chrisanty , Yogi Ramadhani , Wahyu Siswandari
Hematology tests are examinations that aim to know the state of blood and its components, one of which is leukocytes. Hematologic examinations such as the number and morphology of blood generally still done manually, especially by a specialist pathologist. Despite the fact that today there is equipment that can identify morphological automatically, but for developing countries like Indonesia, it can only be done in the capital city. Low accuracy due to the differences identified either by doctors or laboratory staff, makes a great reason to use computer assistance, especially with the rapid technological developments at this time. In this paper, we will emphasize our experiment to screen leucocyte cell nucleus by identifying the contours of the cell nucleus, diameter, circumference and area of these cells based on digital image processing techniques, especially using the morphological image. The results obtained are promising for further development in the development of computer-aided diagnosis for identification of leukocytes based on a simple and inexpensive equipment.
Volume: 8
Issue: 1
Page: 150-158
Publish at: 2018-02-01

Performance Evaluation of Smart Home System using Internet of Things

10.11591/ijece.v8i1.pp400-411
Teddy Surya Gunawan , Intan Rahmithul Husna Yaldi , Mira Kartiwi , Hasmah Mansor
Nowadays, many researches have been conducted on smart home. Smart home control system (SHCS) can be integrated into an existing home appliances to reduce the need for human intervention, increase security and energy efficiency. We have proposed a smart home system using internet of things and four types of sensors, including PIR, temperature, ultrasonic, and smoke gas sensor for automatic environmental control and intrustion detection. In this paper, the performance of the previously developed prototype of smart home system will be evaluated. First, experiments on various sensors will be conducted. Next, the communicaton channel using wireless and Ethernet modules will be discussed. Moreover, the overall SHCS will be evaluated in terms of hardware and software performance. Additionaly, solar charger enhances the availability of our prototype system. Results showed the effectiveness of our proposed smart home system in the prototype and real life experiments.
Volume: 8
Issue: 1
Page: 400-411
Publish at: 2018-02-01

Analytical Model of Cage Induction Machine Dedicated to the Study of the Inner Race Bearing Fault

10.11591/ijece.v8i1.pp458-471
Marouane Hadjami , Hubert Razik , Mohamed El Kamel Oumaamar , Abdelmamek Kezzar
This paper presents a new analytical model for inner bearing raceway defect. The model is based on the presentation of different machine inductances as Fourier series without any kind of reference frame transformation. The proposed approach shows that this model is able to give important features on the state of the motor. Simulation based on spectral analysis of stator current signal using Fast Fourier Transform (FFT) and experimental results are given to shed light on the usefulness of the proposed model.
Volume: 8
Issue: 1
Page: 458-471
Publish at: 2018-02-01

Efficient and Energy Scheme for Wireless Rechargeable Sensor Network

10.11591/ijeecs.v9.i2.pp265-266
S V Saravanan
The wireless rechargeable sensor network is attractive crucial and important in recent years for the advancement of wireless energy communication skill. The previous explore shown that not all of sensors can be recharged due to the limitation of power capacity to mobile chargers can carry. If a sensor playing a critical role in a sensing task cannot function as usual due to the exhausted energy, then the sensing task will be interrupted. Therefore, this paper proposes a novel recharging mechanism taking the priorities of sensors into consideration such that mobile chargers can recharge the sensor with a higher priority and the network lifetime can be efficiently sustained. The priority of each sensor depends on its contribution to the sensing task, including the coverage and connectivity capabilities. Based on the priority, the sensor with a higher priority will be properly recharged to extend the network lifetime. Simulation results show that the proposed mechanism performs better against the related work in network lifetime.
Volume: 9
Issue: 2
Page: 265-266
Publish at: 2018-02-01

Improving the Performance of Viterbi Decoder using Window System

10.11591/ijece.v8i1.pp611-621
Rekkal Kahina , Abdesselam Bassou
An efficient Viterbi decoder is introduced in this paper; it is called Viterbi decoder with window system. The simulation results, over Gaussian channels, are performed from rate 1/2, 1/3 and 2/3 joined to TCM encoder with memory in order of 2, 3. These results show that the proposed scheme outperforms the classical Viterbi by a gain of 1 dB. On the other hand, we propose a function called RSCPOLY2TRELLIS, for recursive systematic convolutional (RSC) encoder which creates the trellis structure of a recursive systematic convolutional encoder from the matrix “H”. Moreover, we present a comparison between the decoding algorithms of the TCM encoder like Viterbi soft and hard, and the variants of the MAP decoder known as BCJR or forward-backward algorithm which is very performant in decoding TCM, but depends on the size of the code, the memory, and the CPU requirements of the application.
Volume: 8
Issue: 1
Page: 611-621
Publish at: 2018-02-01

Emotion Recognition from Facial Expression Based on Fiducial Points Detection and using Neural Network

10.11591/ijece.v8i1.pp52-59
Fatima Zahra Salmam , Abdellah Madani , Mohamed Kissi
The importance of emotion recognition lies in the role that emotions play in our everyday lives. Emotions have a strong relationship with our behavior. Thence, automatic emotion recognition, is to equip the machine of this human ability to analyze, and to understand the human emotional state, in order to anticipate his intentions from facial expression. In this paper, a new approach is proposed to enhance accuracy of emotion recognition from facial expression, which is based on input features deducted only from fiducial points. The proposed approach consists firstly on extracting 1176 dynamic features from image sequences that represent the proportions of euclidean distances between facial fiducial points in the first frame, and faicial fiducial points in the last frame. Secondly, a feature selection method is used to select only the most relevant features from them. Finally, the selected features are presented to a Neural Network (NN) classifier to classify facial expression input into emotion. The proposed approach has achieved an emotion recognition accuracy of 99% on the CK+ database, 84.7% on the Oulu-CASIA VIS database, and 93.8% on the JAFFE database.
Volume: 8
Issue: 1
Page: 52-59
Publish at: 2018-02-01

Reversed-Trellis Tail-Biting Convolutional Code (RT-TBCC) Decoder Architecture Design for LTE

10.11591/ijece.v8i1.pp198-209
Trio Adiono , Ahmad Zaky Ramdani , Rachmad Vidya Wicaksana Putra
Tail-biting convolutional codes (TBCC) have been extensively applied in communication systems. This method is implemented by replacing the fixed-tail with tail-biting data. This concept is needed to achieve an effective decoding computation. Unfortunately, it makes the decoding computation becomes more complex. Hence, several algorithms have been developed to overcome this issue in which most of them are implemented iteratively with uncertain number of iteration. In this paper, we propose a VLSI architecture to implement our proposed reversed-trellis TBCC (RT-TBCC) algorithm. This algorithm is designed by modifying direct-terminating maximum-likelihood (ML) decoding process to achieve better correction rate. The purpose is to offer an alternative solution for tail-biting convolutional code decoding process with less number of computation compared to the existing solution. The proposed architecture has been evaluated for LTE standard and it significantly reduces the computational time and resources compared to the existing direct-terminating ML decoder. For evaluations on functionality and Bit Error Rate (BER) analysis, several simulations, System-on-Chip (SoC) implementation and synthesis in FPGA are performed.
Volume: 8
Issue: 1
Page: 198-209
Publish at: 2018-02-01

Fuzzy Cognitive Maps Based Game Balancing System in Real Time

10.11591/ijeecs.v9.i2.pp335-341
Patel Kalpana Dhanji , Santhosh Kumar Singh
Players may stop playing a picked amusement sooner than anticipated for some reasons. A standout amongst the most vital is identified with the way amusement planners and designers adjust diversion challenge levels. Practically speaking, players have distinctive ability levels and may discover common foreordained troublesome levels as too simple or too hard, getting to be noticeably disappointed or exhausted. The outcome might be diminished inspiration to continue playing the diversion, which implies decreased engagement. A way to deal with alleviate this issue is dynamic amusement trouble adjusting, which is a procedure that alters diversion play parameters progressively as indicated by the present player aptitude level. In this paper we propose a constant answer for DGB utilizing Evolutionary Fuzzy Cognitive Maps, for progressively adjusting a diversion trouble, giving a very much adjusted level of test to the player. Transformative Fuzzy Cognitive Maps depend on ideas that speak to setting diversion factors and are connected by fluffy and probabilistic causal connections that can be refreshed progressively. We talk about a few re-enactment tries that utilization our answer in a runner sort amusement to make all the more captivating and dynamic diversion encounters.
Volume: 9
Issue: 2
Page: 335-341
Publish at: 2018-02-01

Usability Analysis of Business Intelligence Tool Based Table Virtualization

10.11591/ijeecs.v9.i2.pp431-437
Muh Zia ul Haq , Suharjito Suharjito
The use of Business Intelligence for Small-Mid Enterprise (SME) no longer impeded by the size of the resources required. The study in this paper provides an overview of how the use of proposed software can be used as an effective and efficient alternative solution in building BI Tools combined with table virtualization utilization in SQL. To know the level of usability and suitability of the developed BI Tool, the researcher conducted evaluation and analyzation using 2 (two) tools (Heuristics Evaluation and UMUX-Lite). The result found the comparison between the output (Business Intelligence Tool) produced by PHP Report Maker has a better level of usability and suitability than its competitors. Although both are in a decent median, the output needs preferences and customizations to achieve maximum functionality like well-known other development software. 
Volume: 9
Issue: 2
Page: 431-437
Publish at: 2018-02-01

Effective Sampling-Based Assessment Method for Evaluating Electrical Engineering Programme Performance

10.11591/ijeecs.v9.i2.pp417-423
W. Mansor , B. N. Sheikh Rahimullah , M. N. Taib , N. Mohamad Zaini , M. F. Abdul Latip , A. R. Mahmud
Challenges in the conventional way of measuring programme outcome include large data sets to be processed, a large amount of manpower, operating cost increment and time consuming. A sampling-based approach to evaluate the performance of a programme is proposed and a mathematical model is developed to determine the overall programme outcome score. The criteria for course selection and percentage of students considered in the assessment, was designed to accelerate the process. The results obtained from the implementation of sampling based approach in the assessment have shown that the programme is successful and the students have achieved the required knowledge and skills. The sampling-based approach is capable of demonstrating the programme and the students’ achievement.
Volume: 9
Issue: 2
Page: 417-423
Publish at: 2018-02-01

Design and Implementation of Smart Non-Invasive Bone Conduction Ear-Plug System

10.11591/ijeecs.v9.i2.pp249-252
Ravichandran G , M Krishnamurthy
The project aim is to design a smart earplug system integrated with non-invasive bone conduction technique which is capable of doing some advanced audio processing to provide voice enhancing, noise filtered audio for the hearing impaired people [2]. The system is also designed to work as an embedded music player, a life activity tracker and a Smartphone companion. It can even read the SMS that is just received on your smartphone into your ear. This project needs a very low power microcontroller but with high-performance signal processing requirements. STM32L476 from STMicroelectronics meets this needs and thus chosen as the main MCU. It is an ultra-low power ARM Cortex-M4 based microcontroller that can run up to 80MHz.  It has got 1MB of Flash memory and 128 KB RAM.
Volume: 9
Issue: 2
Page: 249-252
Publish at: 2018-02-01

Influence Types of Startup on Hydrothermal Scheduling

10.12928/telkomnika.v16i1.6722
Ignatius Riyadi; Institut Teknologi Sepuluh November Surabaya Mardiyanto , Hermagasantos; Politeknik Negeri Bandung Zein , Adi; Institut Teknologi Sepuluh November Surabaya Soeprijanto
The energy costs of a power plant consist of startup cost and cost of power usage. In contrast to the existing literature, this study introduces at startup cost based on the duration of thermal power plant downtime. The approach of startup cost function in this research is done by using startup type. Startup of a steam power plant depends on its condition. Generally, there are three types of startup the power plant when the turbine temperature is still very high, i.e. hot start, very hot start and very-very hot start. This paper uses multistage optimization to solve the problem of hydrothermal scheduling with including the startup type cost in the objective function. The simulation results showed operating cost savings when the objective function for optimization also consider the cost based on startup type i.e. when compared with the optimization result which the objective function does not take the cost of startup type.
Volume: 16
Issue: 1
Page: 25-37
Publish at: 2018-02-01

NO2 Gas Sensing Properties of Carbon Films Fabricated by Arc Discharge Methane Decomposition Technique

10.12928/telkomnika.v16i1.6004
Elnaz; Universiti Teknologi Malaysia Akbari , Zolkafle; Universiti Teknologi Malaysia Buntat , Syed Muhammad; Universiti Teknologi Malaysia Zafar Iqbal , Zulkifli; Universiti Teknologi Malaysia Azman , Norain; Universiti Teknologi Malaysia Sahari , Zainuddin; Universitas Sriwijaya Nawawi , Muhammad Irfan; Universitas Sriwijaya Jambak , Muhammad Abu Bakar; Universitas Sriwijaya Sidik
In this work, a set of experiments has been conducted using arc discharge Methane decomposition attempting to obtain carbonaceous materials (C-strands) formed between graphite electrodes. The current-voltage (I-V) characteristics of the fabricated C-strands have been investigated in the presence and absence of two different gases, NO2 and CO2. The results reveal that the current passing through the carbon films increases when the concentrations of gases are increased from 200 to 800 ppm. This phenomenon is a result of conductance changes and can be employed in sensing applications such as gas sensors.
Volume: 16
Issue: 1
Page: 69-76
Publish at: 2018-02-01
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