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29,734 Article Results

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

Novel Bacteria Foraging Optimization for Energy-efficient Communication in Wireless Sensor Network

10.11591/ijece.v8i6.pp4755-4762
Hemavathi P , Nandakumar A. N.
Optimization techniques based on Swarm-intelligence has been reported to have significant benefits towards addressing communication issues in Wireless Sensor Network (WSN). We reviewed the most dominant swarm intelligence technique called as Bacteria Foraging Optimization (BFO) to find that there are very less significant model towards addressing the problems in WSN. Therefore, the proposed paper introduced a novel BFO algorithm which maintains a very good balance between the computational and communication demands of a sensor node unlike the conventional BFO algorithms. The significant contribution of the proposed study is to minimize the iterative steps and inclusion of minimization of both receiving / transmittance power in entire data aggregation process. The study outcome when compared with standard energy-efficient algorithm was found to offer superior network lifetime in terms of higher residual energy as well as data transmission performance.
Volume: 8
Issue: 6
Page: 4755-4762
Publish at: 2018-12-01

Test Case Optimization and Redundancy Reduction Using GA and Neural Networks

10.11591/ijece.v8i6.pp5449-5456
Itti Hooda , R.S. Chhillar
More than 50% of software development effort is spent in testing phase in a typical software development project. Test case design as well as execution consume a lot of time. Hence, automated generation of test cases is highly required. Here a novel testing methodology is being presented to test object-oriented software based on UML state chart diagrams. In this approach, function minimization technique is being applied and generate test cases automatically from UML state chart diagrams. Software testing forms an integral part of the software development life cycle. Since the objective of testing is to ensure the conformity of an application to its specification, a test “oracle” is needed to determine whether a given test case exposes a fault or not. An automated oracle to support the activities of human testers can reduce the actual cost of the testing process and the related maintenance costs. In this paper, a new concept is being presented using an UML state chart diagram and tables for the test case generation, artificial neural network as an optimization tool for reducing the redundancy in the test case generated using the genetic algorithm. A neural network is trained by the back-propagation algorithm on a set of test cases applied to the original version of the system.
Volume: 8
Issue: 6
Page: 5449-5456
Publish at: 2018-12-01

Green Energy Based Coupled Inductor Interleaved Converter with MPPT Technique for BLDC Application

10.11591/ijpeds.v9.i4.pp1725-1732
V. Senthil Nayagam , L. Premalatha
This paper presents a high step-up converter with combination of battery and solar energy source application. The proposed green energy source boosted by using coupled inductor interleaved converter. The coupled inductor and voltage double circuit can reach the high voltage gain without more stress on the converter circuit as well as muchchanges in duty cycle. The photo voltaic system maximum output is 12volts it can be varied by changes of irradiation level .The maximum output voltage is tracking by using MPPT and supplies to the coupled inductor interleaved boost converter. The MPPT working based on the P & O algorithm .The output level of the photo voltaic is high then the battery is charging as well as BLDC motor also being driven efficiently.Whenever the irradiation level will be low the output level of the photo voltaic is less than the battery will be charging and then the motor will running by battery power.
Volume: 9
Issue: 4
Page: 1725-1732
Publish at: 2018-12-01

Improving IF Algorithm for Data Aggregation Techniques in Wireless Sensor Networks

10.11591/ijece.v8i6.pp5162-5168
Madhav Ingle , PVRD Prasada Rao
In Wireless Sensor Network (WSN), fact from different sensor nodes is collected at assembling node, which is typically complete via modest procedures such as averaging as inadequate computational power and energy resources. Though such collections is identified to be extremely susceptible to node compromising attacks. These approaches are extremely prone to attacks as WSN are typically lacking interfere resilient hardware. Thus, purpose of veracity of facts and prestige of sensor nodes is critical for wireless sensor networks. Therefore, imminent gatherer nodes will be proficient of accomplishment additional cultivated data aggregation algorithms, so creating WSN little unresisting, as the performance of actual low power processors affectedly increases. Iterative filtering algorithms embrace inordinate capacity for such a resolution. The way of allocated the matching mass elements to information delivered by each source, such iterative algorithms concurrently assemble facts from several roots and deliver entrust valuation of these roots. Though suggestively extra substantial against collusion attacks beside the modest averaging techniques, are quiet vulnerable to a different cultivated attack familiarize. The existing literature is surveyed in this paper to have a study of iterative filtering techniques and a detailed comparison is provided. At the end of this paper new technique of improved iterative filtering is proposed with the help of literature survey and drawbacks found in the literature.
Volume: 8
Issue: 6
Page: 5162-5168
Publish at: 2018-12-01

Overview of Photovoltaic Thermal (PVT) Water Collector

10.11591/ijpeds.v9.i4.pp1891-1898
Ahmad Fudholi , Nur Farhana Mohd Razali , Abrar Ridwan , Rado Yendra , Hartono Hartono , Ari Pani Desvina , Majid Khan Bin Majahar Ali , Kamaruzzaman Sopian
The popular solar technology is the integration of solar thermal technology and photovoltaic (PV), called photovoltaic thermal (PVT) technology. This technology converts solar energy to electrical and thermal energy. The efficiency of solar energy conversion via PVT is higher than photovoltaic and solar systems. PV cell efficiency decreases if system operating temperature is higher. Therefore, solar systems attached to PV cells act to cool PV cells and increase the overall efficiency of the PVT system. PVT construction that saves space, is suitable for domestic consumption, and long-term saving costs makes PVT current research by researchers in the latest energy technology. This review presents descriptions and previous works conducted on performances analysis of PVT water collector. Results on the performances of PVT water collectors are summarized. The energy and exergy efficiency of PVT water collector ranges from 28.5% to 85% and 6.8% to 14%, respectively.
Volume: 9
Issue: 4
Page: 1891-1898
Publish at: 2018-12-01

Classification of Macronutrient Deficiencies in Maize Plant Using Machine Learning

10.11591/ijece.v8i6.pp4197-4203
Leena N , K. K. Saju
Detection of nutritional deficiencies in plants is vital for improving crop productivity. Timely identification of nutrient deficiency through visual symptoms in the plants can help farmers take quick corrective action by appropriate nutrient management strategies. The application of computer vision and machine learning techniques offers new prospects in non-destructive field-based analysis for nutrient deficiency. Color and shape are important parameters in feature extraction. In this work, two different techniques are used for image segmentation and feature extraction to generate two different feature sets from the same image sets. These are then used for classification using different machine learning techniques. The experimental results are analyzed and compared in terms of classification accuracy to find the best algorithm for the two feature sets.
Volume: 8
Issue: 6
Page: 4197-4203
Publish at: 2018-12-01
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