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27,544 Article Results

An Optimal LFC in Two-Area Power Systems Using a Meta-heuristic Optimization Algorithm

10.11591/ijece.v7i6.pp3217-3225
Mushtaq Najeeb , Muhamad Mansor , Hameed Feyad , Esam Taha , Ghassan Abdullah
In this study, an optimal meta-heuristic optimization algorithm for load frequency control (LFC) is utilized in two-area power systems. This meta-heuristic algorithm is called harmony search (HS), it is used to tune PI controller parameters ( ) automatically. The developed controller (HS-PI) with LFC loop is very important to minimize the system frequency and keep the system power is maintained at scheduled values under sudden loads changes. Integral absolute error (IAE) is used as an objective function to enhance the overall system performance in terms of settling time, maximum deviation, and peak time. The two-area power systems and developed controller are modelled using MATLAB software (Simulink/Code). As a result, the developed control algorithm (HS-PI) is more robustness and efficient as compared to PSO-PI control algorithm under same operation conditions.
Volume: 7
Issue: 6
Page: 3217-3225
Publish at: 2017-12-01

Dielectrophoresis Effect of Dielectric Liquids with Suspended Cellulose Impurities under DC Electric Field

10.11591/ijece.v7i6.pp3254-3261
Muhamad Hafiy Syazwan Zainoddin , Hidayat Zainuddin , Aminudin Aman
For decades, petroleum-based mineral oils are the insulating media conventionally used in the industry, particularly for high voltage (HV) applications. However, due to the disadvantages of mineral oils, there is growing interest in replacing these oils with environmentally friendly alternatives in order to fulfill the demanding requirements of dielectric liquids.  One of the promising substitutes for mineral oils is ester oils. Nevertheless, the implementation of ester oils is not widespread compared with mineral oils due to the lack of understanding on the performance of ester oils in HV applications. Hence, the objective of this study is to investigate the bridging phenomenon of two dielectric liquids with different viscosities: palm fatty acid ester and mineral oil under the influence of direct current electric field. The results show that oil viscosity plays an important role in the formation of cellulose bridge and breakdown behavior.
Volume: 7
Issue: 6
Page: 3254-3261
Publish at: 2017-12-01

Wireless Fault Detection System for an Industrial Robot Based on Statistical Control Chart

10.11591/ijece.v7i6.pp3421-3435
Alaa Abdulhady Jaber , Robert Bicker
Industrial robots are now commonly used in production systems to improve productivity, quality and safety in manufacturing processes. Recent developments involve using robots cooperatively with production line operatives. Regardless of application, there are significant implications for operator safety in the event of a robot malfunction or failure, and the consequent downtime has a significant impact on productivity in manufacturing. Machine healthy monitoring is a type of maintenance inspection technique by which an operational asset is monitored and the data obtained is analysed to detect signs of degradation and thus reducing the maintenance costs. Developments in electronics and computing have opened new horizons in the area of condition monitoring. The aim of using wireless electronic systems is to allow data analysis to be carried out locally at field level and transmitting the results wirelessly to the base station, which as a result will help to overcome the need for wiring and provides an easy and cost-effective sensing technique to detect faults in machines. So, the main focuses of this research is to develop an online and wireless fault detection system for an industrial robot based on statistical control chart approach. An experimental investigation was accomplished using the PUMA 560 robot and vibration signal capturing was adopted, as it responds immediately to manifest itself if any change is appeared in the monitored machine, to extract features related to the robot health conditions. The results indicate the successful detection of faults at the early stages using the key extracted parameters.
Volume: 7
Issue: 6
Page: 3421-3435
Publish at: 2017-12-01

Denial of impedance for Mobile Cellular Systems

10.11591/ijeecs.v8.i3.pp657-661
Ms. Dhanya.T
Wireless network broadly utilized today incorporate, cell system, remote cross section system (WMNs), remote neighbourhood and individual zone system. The expanding interest for these systems has transformed range into a valuable asset. Consequently, there is dependably a requirement for techniques to pack more bits/Hz. In this paper, we list the purposes behind this far reaching doubt, and talk about how present and future patterns will expand the need and reasonability of multiuser collectors for both the uplink, where numerous offbeat clients will be all the while identified, and the downlink, where clients will be planned and generally orthogonal zed, yet the portable handset will in any case need to adapt to a couple of predominant meddling base stations. New results for impedance wiping out beneficiaries that utilization traditional front finishes are appeared to ease a large number of the deficiencies of earlier systems, especially for the testing uplink. This paper gives a diagram of key late research leaps forward on obstruction cancelation, and highlights framework level contemplations for future multiuser recipients.
Volume: 8
Issue: 3
Page: 657-661
Publish at: 2017-12-01

Adaptive Projective Lag Synchronization of T and Lu Chaotic Systems

10.11591/ijece.v7i6.pp3446-3453
Hamed Tirandaz , Mohsen Ahmadnia , Hamid Reza Tavakoli
In this paper, the synchronization problem of T chaotic system and Lu chaotic system is studied. The parameter of the drive T chaotic system is considered unknown. An adaptive projective lag control method and also parameter estimation law are designed to achieve chaos synchronization problem between two chaotic systems. Then Lyapunov stability theorem is utilized to prove the validity of the proposed control method. After that, some numerical simulations are performed to assess the performance of the proposed method. The results show high accuracy of the proposed method in control and synchronization of chaotic systems.
Volume: 7
Issue: 6
Page: 3446-3453
Publish at: 2017-12-01

Performance Evaluation of UDP, DCCP, SCTP and TFRC for Different Traffic Flow in Wired Networks

10.11591/ijece.v7i6.pp3552-3557
Ali Hussein Wheeb
The demand for internet applications has increased rapidly.  Providing quality of service (QoS) requirements for varied internet application is a challenging task. One important factor that is significantly affected on the QoS service is the transport layer. The transport layer provides end-to-end data transmission across a network. Currently, the most common transport protocols used by internet application are TCP (Transmission Control Protocol) and UDP (User Datagram Protocol). Also, there are recent transport protocols such as DCCP (data congestion control protocol), SCTP (stream congestion transmission protocol), and TFRC (TCP-friendly rate control), which are in the standardization process of Internet Engineering Task Force (IETF). In this paper, we evaluate the performance of  UDP, DCCP, SCTP and TFRC protocols for different traffic flows: data transmission, video traffic, and VOIP in wired networks. The performance criteria used for this evaluation include throughput, end to end delay, and packet loss rate. Well-known network simulator NS-2 used to implement the UDP, DCCP, SCTP, and TFRC protocols performance comparison. Based on the simulation results, the performance throughput of  SCTP and TFRC is better than UDP. Moreover, DCCP performance is superior SCTP and TFRC in term of end-to-end delay.
Volume: 7
Issue: 6
Page: 3552-3557
Publish at: 2017-12-01

Bidirectional Resonant DC-DC converter for Microgrid Applications

10.11591/ijpeds.v8.i4.pp1548-1561
Jaisudha S. , Sowmiya Srinivasan , Kanimozhi Gunasekaran
This paper proposes a non-isolated soft-switching bidirectional dc/dc converter for interfacing energy storage in DC microgrid. The proposed converter employs a half-bridge boost converter at input port followed by a LCC resonant tank to assist in soft-switching of switches and diodes, and finally a voltage doubler circuit at the output port to enhance the voltage gain by two times. The LCC resonant circuit also adds a suitable voltage gain to the converter. Therefore, overall high voltage gain of the converter is obtained without a transformer or large number of multiplier circuit. For operation in buck mode, the high side voltage is divided by half with capacitive divider to gain higher step-down ratio. The converter is operated at high frequency to obtain low output voltage ripple, reduced magnetics and filters. Zero voltage turn-on is achieved for all switches and zero current turn-on and turn-off is achieved for all diodes in both modes i.e., buck/boost operation. Voltage stress across switches and diode is clamped naturally without external snubber circuit. An experimental prototype has been designed, built and tested in the laboratory to verify the performance of the proposed converter.
Volume: 8
Issue: 4
Page: 1548-1561
Publish at: 2017-12-01

Clustering in Aggregated User Profiles Across Multiple Social Networks

10.11591/ijece.v7i6.pp3692-3699
Charu Virmani , Anuradha Pillai , Dimple Juneja
A social network is indeed an abstraction of related groups interacting amongst themselves to develop relationships. However, toanalyze any relationships and psychology behind it, clustering plays a vital role. Clustering enhances the predictability and discoveryof like mindedness amongst users. This article’s goal exploits the technique of Ensemble K-means clusters to extract the entities and their corresponding interestsas per the skills and location by aggregating user profiles across the multiple online social networks. The proposed ensemble clustering utilizes known K-means algorithm to improve results for the aggregated user profiles across multiple social networks. The approach produces an ensemble similarity measure and provides 70% better results than taking a fixed value of K or guessing a value of K while not altering the clustering method. This paper states that good ensembles clusters can be spawned to envisage the discoverability of a user for a particular interest.
Volume: 7
Issue: 6
Page: 3692-3699
Publish at: 2017-12-01

SCNN Based Electrical Characteristics of Solar Photovoltaic Cell Model

10.11591/ijece.v7i6.pp3198-3206
Bambang Purwahyudi , Kuspijani Kuspijani , Ahmadi Ahmadi
Solar photovoltaic (PV) cell is one of the renewable energy sources and a main component of PV power systems. The design of PV power systems requires accurately its electrical output characteristics. The electrical characteristics of solar PV cell consist of I-V and P-V characteristics. They depend on the parameters of PV cell such as short circuit current, open circuit voltage and maximum power. Solar PV cell model can be described through an equivalent circuit including a current source, a diode, a series resistor and a shunt resistor. In this paper, the development solar PV cell model is built by using self constructing neural network (SCNN) methods. This SCNN technique is used to improve the accuracy of the electrical characteristic of solar PV cell model. SCNN solar PV cell model have three inputs and two outputs. They are respectively solar radiation, temperature, series resistance, current and power. The effectiveness of SCNN technique is verified using simulation results based on different physical and environmental conditions. Simulations are conducted by the change of the solar irradiation, temperature and series resistance. Simulation results show SCNN model can yield the I-V and P-V characteristics according to the characteristics of solar PV cell.
Volume: 7
Issue: 6
Page: 3198-3206
Publish at: 2017-12-01

Crops Diseases Detection and Solution System

10.11591/ijict.v6i3.pp209-217
Md. Abdul Awal , Mohammad Jahangir Alam , Md. Nurul Mustafa
The technology based modern agriculture industries are today’s requirement in every part of agriculture in Bangladesh. In this technology, the disease of plants is precisely controlled. Due to the variable atmospheric circumstances these conditions sometimes the farmer doesn’t know what type of disease on the plant and which type of medicine provide them to avoid diseases. This research developed for crops diseases detection and to provides solution by using image processing techniques. We have used Android Studio to develop the system. The crops diseases detection and solution system is compared the image of affected crops with database of CDDASS (Crops Diseases Detection and Solution system). If CDDASS detect any disease symptom, then provide suggestion so that farmers can take proper decision to provide medicine to the affected crops. The application has developed with user friendly features so that farmers can use it easily.
Volume: 6
Issue: 3
Page: 209-217
Publish at: 2017-12-01

Fuzzy Region Merging using Fuzzy Similarity Measurement on Image Segmentation

10.11591/ijece.v7i6.pp3402-3410
Wawan Gunawan , Agus Zainal Arifin , Rarasmaya Indraswari , Dini Adni Navastara
Some image’s regions have unbalance information, such as blurred contour, shade, and uneven brightness. Those regions are called as ambiguous regions. Ambiguous region cause problem during region merging process in interactive image segmentation because that region has double information, both as object and background. We proposed a new region merging strategy using fuzzy similarity measurement for image segmentation. The proposed method has four steps; the first step is initial segmentation using mean-shift algorithm. The second step is giving markers manually to indicate the object and background region. The third step is determining the fuzzy region or ambiguous region in the images. The last step is fuzzy region merging using fuzzy similarity measurement. The experimental results demonstrated that the proposed method is able to segment natural images and dental panoramic images successfully with the average value of misclassification error (ME) 1.96% and 5.47%, respectively.
Volume: 7
Issue: 6
Page: 3402-3410
Publish at: 2017-12-01

Neuroendoscopy Adapter Module Development for Better Brain Tumor Image Visualization

10.11591/ijece.v7i6.pp3643-3654
Sunil L. Bangare , G. Pradeepini , Shrishailappa Tatyasaheb Patil
The issue of brain magnetic resonance image exploration together with classification receives a significant awareness in recent years. Indeed, various computer-aided-diagnosis solutions were suggested to support radiologist in decision-making. In this circumstance, adequate image classification is extremely required as it is the most common critical brain tumors which often develop from subdural hematoma cells, which might be common type in adults. In healthcare milieu, brain MRIs are intended for identification of tumor. In this regard, various computerized diagnosis systems were suggested to help medical professionals in clinical decision-making. As per recent problems, Neuroendoscopy is the gold standard intended for discovering brain tumors; nevertheless, typical Neuroendoscopy can certainly overlook ripped growths. Neuroendoscopy is a minimally-invasive surgical procedure in which the neurosurgeon removes the tumor through small holes in the skull or through the mouth or nose. Neuroendoscopy enables neurosurgeons to access areas of the brain that cannot be reached with traditional surgery to remove the tumor without cutting or harming other parts of the skull. We focused on finding out whether or not visual images of tumor ripped lesions ended up being much better by auto fluorescence image resolution as well as narrow-band image resolution graphic evaluation jointly with the latest neuroendoscopy technique. Also, within the last several years, pathology labs began to proceed in the direction of an entirely digital workflow, using the electronic slides currently being the key element of this technique. Besides lots of benefits regarding storage as well as exploring capabilities with the image information, among the benefits of electronic slides is that they can help the application of image analysis approaches which seek to develop quantitative attributes to assist pathologists in their work. However, systems also have some difficulties in execution and handling. Hence, such conventional method needs automation. We developed and employed to look for the targeted importance along with uncovering the best-focused graphic position by way of aliasing search method incorporated with new Neuroendoscopy Adapter Module (NAM) technique.
Volume: 7
Issue: 6
Page: 3643-3654
Publish at: 2017-12-01

High Torque Flux Switching Permanent Magnet Machine in Segmented Outer Rotor using Appropriate Split Ratio for Electric Scooter Propulsion

10.11591/ijpeds.v8.i4.pp1642-1649
Enwelum Mbadiwe I , Erwan Sulaiman , Ahmad Md Zarafi , Siti Khalidah Rahimi
Recently, permanent magnet synchronous machine (PMSM) having the diameter of 11inches was successfully developed and installed in electric scooter vehicle (ESV) for propulsion. It consists of segmented stators of 24 armature slots and 100 pieces of permanent magnet of 2 kg weight mounted on rotating rotor. Upon the huge amount of materials and permanent magnet used, PMSM produced 110Nm only. Looking at the size, this torque is low and could not sustain acceleration for long distance travels. To overcome the challenge of low torque, this paper presents a new machine type, flux switching motor (FSM) with 1 kg weight of permanent magnet flux source employing segmented outer rotor.  Six ranges of split ratio of 0.80-0.85 for outer rotor 24slot-14pole FSPM motor configurations were designed and compared. The 2D-FEA by JMAG software version 14 is used to examine its performance in term of flux linkage, cogging torque, back-emf and average torque which the structure with split ratio of 0.85 took lead by securing highest torque profile of 209Nm. It also achieved low cogging torque to operate in safe region. In conclusion, appropriate split ratio significantly enhances high torque capability of permanent magnet flux switching motor for electric scooter propulsion.
Volume: 8
Issue: 4
Page: 1642-1649
Publish at: 2017-12-01

CNR and BER Ranges for the DVB-T2 Reception-Success

10.11591/ijece.v7i6.pp3727-3734
Budi Setiyanto , Risanuri Hidayat , I Wayan Mustika , Sunarno Sunarno
DVB-T2 (Digital Video Broadcasting Terrestrial Second Generation) reception requires a sufficient quality of the received signal. CNR (carrier-to-noise ratio) and BER (bit-error-rate) are two of quantities describing the quality. This paper presents the range of each quantity providing a successful reception based on real data obtained by field-measurements. This data was collected from MO (mobile-outdoor) and SI (stationary-indoor) receiving-systems capturing signal sent by some on-air trial transmitters broadcasting services focused on the fixed-receivers. The result indicated that the successful and failed receptions were split into two quite separated (concentrated) ranges of post-decoded BER and therefore a boundary distinguishing them could be prominently defined. In contrast, they were spread in a wide common range of CNR and pre-decoded BER. Furthermore, the boundary that corresponded to this last quantity was ambiguous. In the case of MO reception as numerical examples, the two split ranges of post-decoded BER were less than about 10-5 and more than about 2.7 × 10-4 for the successful and failed receptions, respectively, whereas CNR as high as about 14 dB could be viewed as a soft boundary distinguishing these both reception-success conditions.
Volume: 7
Issue: 6
Page: 3727-3734
Publish at: 2017-12-01

DTC-SVM Control for Permanent Magnet Synchronous Generator based Variable Speed Wind Turbine

10.11591/ijpeds.v8.i4.pp1732-1743
Youness El Mourabit , Aziz Derouich , Abdelaziz El Ghzizal , Najib El Ouanjli , Othmane Zamzoum
In this paper, we are interested in improving the production efficiency for electric energy extracted from a wind turbine, based on a permanent magnet synchronous generator (PMSG) that we want to improve the performance by means of direct torque control with space vector modulation (DTC-SVM). The choice of this control comes from the deficiencies inherent to the conventional DTC, which includes variable switching frequency, torque ripple and implementation complexity. First we focuse on the wind energy conversion system (WECS) modeling using the PMSG machine, as well as the detailed study for the control DTC-SVM operating principle. Then, system performance is tested and compared by simulation in the MATLAB/Simulink in terms of follow instructions, robustness to the variations of the external system elements, and effectiveness of the expected method.
Volume: 8
Issue: 4
Page: 1732-1743
Publish at: 2017-12-01
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