Articles

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

Filter Icon

Filters article

Years

FAQ Arrow
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

31,456 Article Results

Direct Torque Control of Two Induction Motors Using the Nine-Switch Inverter

10.11591/ijpeds.v9.i4.pp1552-1564
Draoui Abdelghani , Allaoua Boumediène
The Nine-Switch Inverter(NSI) is a recently developed dual output converter. It can be used to drive two three-phase loads independently. As a substitute to two separate conventional voltage source inverters, the NSI has been, already, proposed in various industrial applications to reduce the numberof semiconductor switches and its associated energy losses and drive circuitry. On the other hand, the Direct Torque Control(DTC) is a robust control scheme of AC motors, which consist of selecting proper state vectors of a conventional voltage source inverter. The NSI, having a different working principle from the conventional voltage source inverter and taking into account the varying influence of active space vectors on motor’s torque and stator flux, a Direct Torque Control is suggested in this paper to, efficiently, drive two induction motors independently, while minimizing the torque and stator flux ripples of both motors. Simulations results confirm the effectiveness of the proposed algorithm. In addition, application of this newly proposed control scheme in operation of an Electric Vehicule(EV) is demonstrated.
Volume: 9
Issue: 4
Page: 1552-1564
Publish at: 2018-12-01

Adding Psychological Factor in the Model of Electricity Consumption in Office Building

10.11591/ijece.v8i6.pp4486-4495
Meredita Susanty
Researches indicate that energy behaviour is the key to energy conservation and suggest that comparative feedback on energy usage can generate savings in residential and organizational settings. In implementing comparative feedback in workplace, there are two different ways to disaggregate collective energy consumption and apportion it to building users; individual or group level. This research uses agent-based modelling and simulation to examine the impact of applying different approaches of energy data apportionment to change staff behaviour toward energy consumption reduction. A simulation model of energy consumption in workplace as a base model is a re-implementation and simplification from former research. Several psychological factors and decision-making mechanism are then being added as an extension. The model divides staffs into four energy awareness stereotypes based on motivation level. Sensitivity analysis suggests that motivation is an important factor in changing user‟s behaviour and the experiment results indicates greater potential for energy saving when energy usage is apportioned to group level. The significant difference of energy consumption level makes user with low and medium motivation should become the target of energy reduction campaign.
Volume: 8
Issue: 6
Page: 4486-4495
Publish at: 2018-12-01

Enlarge Medical Image using Line-Column Interpolation (LCI) Method

10.11591/ijece.v8i5.pp3620-3626
Jufriadif Na'am , Julius Santony , Yuhandri Yuhandri , Sumijan Sumijan , Gunadi Widi Nurcahyo
Quality of medical image has an important role in constructing right medical diagnosis. This paper recommends a method to improve the quality of medical images by increasing the size of the image pixels. By increasing the size of pixels, the size of the objects contained therein is also greater, making it easier to observe. In this study medical images of Brain CT-Scan, Chest X-Ray and Panoramic X-Ray were processed using Line-Column Interpolation (LCI) Method. The results of the treatment are then compared to Nearest Neighbor Interpolation (NNI), Bilinear Interpolation (BLI) and Bicubic Interpolation (BCI) processing results. The experiment shows that Line-Column Interpolation Method produces a larger image with details of the objects in it are not blurred and has equal visual effects. Thus, this method is expected to be a reference material in enlarging the size of the medical image for ease in clinical analysis.
Volume: 8
Issue: 5
Page: 3620-3626
Publish at: 2018-12-01

A Novel Intelligence-based e-Procurement System to offer Maximum Fairness Index in Ongoing Auction Process

10.11591/ijece.v8i6.pp4438-4447
N. Madhusudan , L. Manjunatha Rao
A perfect auction policy is one of the most strategic elements that contribute to success factor for any e-Procurement system. An auction policy can be only term as an effective if it really offer win-win situation to both the bidder as well as to the merchant. After reviewing existing studies on e-Procurement system, it is found that there isno effective research work focusing on this point and maximum research contribution has limited its scope to certain application or case studis. Hence, the proposed system introduces a novel e-Procurement system which is equipped by an itelligence-building process for performing predictive analysis of ongoing auction process. A mathematical modelling is implemented where all teh variables have been formed using practical implementation of auction system and followed by optimization process using regression-based approach. The study outcome shows that proposed system offers better response time and higher predictive accuracy in contrast to existing approaches.
Volume: 8
Issue: 6
Page: 4438-4447
Publish at: 2018-12-01

Smart Walking Stick for the Visually Challenged

10.11591/ijeecs.v12.i3.pp1282-1288
Mohammed Ahsan , Rishav Drolia , Ananda Kumar S
Internet of things mixed with Radio Frequency identification generation permit a whole new context for whole new devices that are capable of combining their bodily and virtual existences. Radio Frequency identification, placing an identification label into every object, allows a clever device to get information, both actual-time or digital-connected statistics, without any physical touch. Information retrieved from such an object, turns it right into a capacity smart object, clearly able to car pick out itself and, if protection problems are certainly handled, maximum in all likelihood capable to connect to the worldwide net. This way, one can get a ubiquitous framework to get admission to, display and manipulate any of these smart items over a web of linked things. RFID tags in scientific context enable a fast and specific identification of each clever entity, permitting a ubiquitous and brief get admission to personal fitness data over an internet of factors [1-2]. People have been struggling with sicknesses weird. Visually challenged human beings are blind people who are very common and difficult to cope with of their way. The principle aim of this project is to aid the visually challenged human beings with a better navigation device. This clever strolling stick is greater state-of-the-art device with many embedded features.
Volume: 12
Issue: 3
Page: 1282-1288
Publish at: 2018-12-01

QoS Management in WSN-MCN Convergence Network Using Priority Based Traffic Models

10.11591/ijeecs.v12.i3.pp1159-1170
Anita Swain , Arun Kumar Ray
Technological advancements and increased developments leads to increase the development of hand-held devices which encourage the growth of Machine-to-Machine (M2M) communication. In this context devices belongs to heterogeneous network require a common platform to meet the challenges of data centric wireless services and applications. To satisfy the needs of M2M communication, Mobile Cellular Network (MCN) and Wireless Sensor Network (WSN) converged to a single platform. In this paper two priority models has been proposed with non preemptive priority and preemptive priority to analyze the data traffic at MAC layer of the converged network. The performance matrices are determined to maintain QoS in terms of reduced dropping and blocking probability, waiting time in the queue etc. Finally, the proposed models are compared in terms of QoS factors.
Volume: 12
Issue: 3
Page: 1159-1170
Publish at: 2018-12-01

Hilbert Based Testing of ADC Differential Non-linearity Using Wavelet Transform Algorithms

10.11591/ijece.v8i6.pp5071-5079
Emad A. Awada
In testing Mixed Signal Devices such as Analog to Digital and Digital to Analog Converters, some dynamic parameters, such as Differential Non-Linearity and Integral Non-linearity, are very critical to evaluating devises performance. However, such analysis has been notorious for complexity and massive compiling process. Therefore, this research will focus on testing dynamic parameters such as Differential Non-Linearity by simulating numerous numbers of bits Analog to Digital Converters and test the output signals base on new testing algorithms of Wavelet transform based on Hilbert process. Such a new testing algorithm should enhance the testing process by using less compiling data samples and prompt testing results. In addition, new testing results will be compared with the conventional testing process of Histogram algorithms for accuracy and enactment.
Volume: 8
Issue: 6
Page: 5071-5079
Publish at: 2018-12-01

A Context-based Numeral Reading Technique for Text to Speech Systems

10.11591/ijece.v8i6.pp4533-4544
Soumya Priyadarsini Panda , Ajit Kumar Nayak
This paper presents a novel technique for context based numeral reading in Indian language text to speech systems. The model uses a set of rules to determine the context of the numeral pronunciation and is being integrated with the waveform concatenation technique to produce speech out of the input text in Indian languages. For this purpose, the three Indian languages Odia, Hindi and Bengali are considered. To analyze the performance of the proposed technique, a set of experiments are performed considering different context of numeral pronunciations and the results are compared with existing syllable-based technique. The results obtained from different experiments shows the effectiveness of the proposed technique in producing intelligible speech out of the entered text utterances compared to the existing technique even with very less storage and execution time.
Volume: 8
Issue: 6
Page: 4533-4544
Publish at: 2018-12-01

Optimum Renewable Fraction for Grid-connected Photovoltaic in Office Building Energy Systems in Indonesia

10.11591/ijpeds.v9.i4.pp1866-1874
Ayong Hiendro , Ismail Yusuf , F. Trias Pontia Wigyarianto , Kho Hie Khwee , Junaidi Junaidi
This paper analyzes influences of renewable fraction on grid-connected photovoltaic (PV) for office building energy systems. The fraction of renewable energy has important contributions on sizing the grid-connected PV systems and selling and buying electricity, and hence reducing net present cost (NPC) and carbon dioxide (CO2) emission. An optimum result with the lowest total NPC for serving an office building is achieved by employing the renewable fraction of 58%, in which 58% of electricity is supplied from the PV and the remaining 42% of electricity is purchased from the grid. The results have shown that the optimum grid-connected PV system with an appropriate renewable fraction value could greatly reduce the total NPC and CO2 emission.
Volume: 9
Issue: 4
Page: 1866-1874
Publish at: 2018-12-01

Enhanced Bandwidth of Band Pass Filter Using a Defected Microstrip Structure for Wideband Applications

10.11591/ijece.v8i6.pp5260-5267
Sanae Azizi , Mustapha El Halaoui , Abdelmoumen Kaabal , Saida Ahyoud , Adel Asselman
In this paper, the bandwidth enhancement of bandpass filter (BPF) is proposed by utilizing defected microstrip structure (DMS). The initial micro strip BPF which is designed to have the bandwidth 1GHz with the center frequency of 3.5GHz is deployed on FR4 Epoxy dielectric substrate with overall size and thickness of 14mm x 24mm and 1.6mm, respectively. The proposed filter consists of two parallel coupled lines centred by ring-shaped, to enhance the bandwidth response, an attempt is carried out by applying DMS on the ligne center with a ring-shaped of initial filter. Here, the proposed DMS is constructed of the arrowhead dumbbell. Some parametrical studies to the DMS such as changing to obtain the optimum geometry of DMS with the desired bandwidth response. From the characterization result, it shows that the utilization of DMS on to the microstrip ligne of filter has widened 3dB bandwidth response up to 1.8GHz ranges from 2.55GHz to 4.35GHz yielding an enhanced wideband response for various wideband wireless applications.
Volume: 8
Issue: 6
Page: 5260-5267
Publish at: 2018-12-01

Analysis Model in the Cloud Optimization Consumption in Pricing the Internet Bandwidt

10.11591/ijece.v8i6.pp4391-4397
Indrawati Indrawati , Fitri Maya Puspita , Sri Erlita , Inosensius Nadeak
The problem of internet pricing is a problem that is often a major problem in optimization. In this study, the internet pricing scheme focuses on optimizing the use of bandwidth consumption. This research utilizes modification of cloud model in finding optimal solution in network. Cloud computing is computational model which is like network, server, storage and service that is utilizing internet connection. As ISP's Internet service provider requires appropriate pricing schemes in order to maximize revenue and provide quality of service (Quality on Service) or QoS so as to satisfy internet users or users. The model used will be completed with the help of LINGO software program to get optimal solution and accurate result. Based on the optimal solution obtained from the modification of the cloud model can be utilized ISP to maximize revenue and provide services in accordance with needs and requests.
Volume: 8
Issue: 6
Page: 4391-4397
Publish at: 2018-12-01

Producer Mobility Support Schemes for Named Data Networking: A Survey

10.11591/ijece.v8i6.pp5432-5442
Muktar Hussaini , Shahrudin Awang Nor , Amran Ahmad
Mobile devices connectivity and data traffic growth requires scalable and efficient means of data distribution over the Internet. Thus, influenced the needs for upgrading or replacing the current Internet architecture to cater the situation as Named Data Networking (NDN) was proposed. NDN is clean-slate Internet architecture, proposed to replace IP with hierarchical named content that utilizes route aggregation to improve scalability and support mobility. Although, NDN provides supports for content consumer mobility with the help of catching capabilities, however, content producer faces many problems similar to mobility in IP architecture, such as, long handoff delay, unnecessary Interest packet losses and high bandwidth utilization. Hence, many concepts and schemes were proposed to address these problems. This paper reviewed and conceptually analyzed the schemes based on their fundamental design that broadly categorized into indirection-based approach, mapping-based approach, locator-based approach and control/data plane-based approach. In the review analysis, mapping-based approach schemes provide optimal path for packets delivery, high handoff delay Indirection-based and locator-based approach schemes provide normal handoff delay, but introduces tiangular routing path. The control/data plane-based approach schemes provide sub-optimal routing path and high handoff delay. The paper provided both strength and weakness of each scheme for further research.
Volume: 8
Issue: 6
Page: 5432-5442
Publish at: 2018-12-01

Analytical Modelling of Power Efficient Reliable Operation of Data Fusion in Wireless Sensor Network

10.11591/ijece.v8i6.pp4637-4645
Jayasri B. S. , G. Raghavendra Rao
Irrespective of inclusion of Wireless Sensor Network (WSN) in majority of the research proposition for smart city planning, it is still shrouded with some significant issues. A closer look into problems in WSN shows that energy parameter is the origination point of majority of the other problems in resource-constrained sensors as well as it significant minimizes the reliability in standard sensory operation in adverse environment. Therefore, this manuscript presents a novel analytical model that is meant for establishing a well balance between energy efficiency over multi-path data forwarding and reliable operation with improved network performance. The complete process is emphasized during data fusion stage to ensure data quality too. A simulation study has been carried out using benchmarked test-bed of MEMSIC nodes to find that proposed system offers good energy conservation process during data fusion operation as well as it also ensure good reliable operation in comparison to existing system.
Volume: 8
Issue: 6
Page: 4637-4645
Publish at: 2018-12-01

Solar Drying Technology in Indonesia: an Overview

10.11591/ijpeds.v9.i4.pp1804-1813
Ahmad Fudholi , Abrar Ridwan , Rado Yendra , Ari Pani Desvina , Hartono Hartono , Majid Khan Bin Majahar Ali , Tri Suyono , Kamaruzzaman Sopian
The most important benefit of solar energy is renewable and low pollutant source of energy (clean energy). Solar energy technology and research are developing fast and much of the technology needed for these applications in industry and agricultures is already available. Solar drying technology (SDT) is one of the most attractive and promising applications of solar energy technology. In this paper, the various performances of SDTs in Indonesia are summarized with details. Generally, the cabinet-type and tunnel-type SDTs are remarkably well suited to drying small quantities of vegetables and fruit on the household scale. Greenhouse and hybrid SDTs are suitable for use on a large scale by industries.
Volume: 9
Issue: 4
Page: 1804-1813
Publish at: 2018-12-01

Deep Belief Networks for Recognizing Handwriting Captured by Leap Motion Controller

10.11591/ijece.v8i6.pp4693-4704
Abas Setiawan , Reza Pulungan
Leap Motion controller is an input device that can track hands and fingers position quickly and precisely. In some gaming environment, a need may arise to capture letters written in the air by Leap Motion, which cannot be directly done right now. In this paper, we propose an approach to capture and recognize which letter has been drawn by the user with Leap Motion. This approach is based on Deep Belief Networks (DBN) with Resilient Backpropagation (Rprop) fine-tuning. To assess the performance of our proposed approach, we conduct experiments involving 30,000 samples of handwritten capital letters, 8,000 of which are to be recognized. Our experiments indicate that DBN with Rprop achieves an accuracy of 99.71%, which is better than DBN with Backpropagation or Multi-Layer Perceptron (MLP), either with Backpropagation or with Rprop. Our experiments also show that Rprop makes the process of fine-tuning significantly faster and results in a much more accurate recognition compared to ordinary Backpropagation. The time needed to recognize a letter is in the order of 5,000 microseconds, which is excellent even for online gaming experience.
Volume: 8
Issue: 6
Page: 4693-4704
Publish at: 2018-12-01
Show 1468 of 2098

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