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31,456 Article Results

Adaptive dynamic programming algorithm for uncertain nonlinear switched systems

10.11591/ijpeds.v12.i1.pp551-557
Dao Phuong Nam , Nguyen Hong Quang , Nguyen Nhat Tung , Tran Thi Hai Yen
This paper studies an approximate dynamic programming (ADP) strategy of a group of nonlinear switched systems, where the external disturbances are considered. The neural network (NN) technique is regarded to estimate the unknown part of actor as well as critic to deal with the corresponding nominal system. The training technique is simul-taneously carried out based on the solution of minimizing the square error Hamilton function. The closed system’s tracking error is analyzed to converge to an attraction region of origin point with the uniformly ultimately bounded (UUB) description. The simulation results are implemented to determine the effectiveness of the ADP based controller.
Volume: 12
Issue: 1
Page: 551-557
Publish at: 2021-03-01

Performance analysis of 30 MW wind power plant in an operation mode in Nouakchott, Mauritania

10.11591/ijpeds.v12.i1.pp532-541
Bamba Heiba , Ahmed Med Yahya , Mohammed Qasim Taha , Nadhira Khezam , Abdel Kader Mahmoud
In this paper, the performance analysis of a 30 MW wind power plant is performed. The farm consists of fifteen (T1-T15) G9 7/2000/GAMESA 2 MW grid-connected turbines. The farm is in operation mode installed 28 km south of Nouakchott city in Mauritania. The analyzed data are monitored from July 1st, 2015 (the first operation day of the power plant) to December 31st, 2019. The parameters of performance evaluation are power generation, capacity factor, machine availability, grid availability, and system availability. It is observed from data analysis, the wind farm supplies a total energy of 507.39 GWh to the power grid and have a high average capacity factor of 42.55%. T1 produces the highest amount of electrical energy among the other turbines with a total energy output of 35.46 GWh, an average capacity factor of 44.97%, and operating hours of 33,814 hours. While T12 produced the minimum amount of energy in this period, the difference in energy compared to T1 is 4.563 GWh. It is observed that the availability of the network is unstable and needs improvement, varying between 90.86% in 2016 and 93.16% in 2018. In the first year of operation, 97.06% of the turbines were available. However, the average availability of the wind farm is approximately 94% during the total study period.
Volume: 12
Issue: 1
Page: 532-541
Publish at: 2021-03-01

Performance of rubber seed oil as an alternative to diesel in oil-based drilling mud formulation

10.11591/ijaas.v10.i1.pp47-59
Amanze Josiah Destiny , Fortune Chukwuebuka Amanze
The formulation of an oil-based mud was made possible with the oil extracted from rubber seeds using the famous Soxhlet extraction method. The mud was formulated using the American Petroleum Institute (API) standard of 25 g of bentonite to 350 mL base fluid. The choice of rubber oil comes as a result of its flash point and aniline point which lie in the range of base oils used for mud formulation. The rheological properties of the rubber oil-based mud (OBM) were beyond the scope of the viscometer and hence thinner was added to reduce its viscosity and its suitability to compete favorably with diesel OBM was checked. The 10 sec and 10 min gel strength of the rubber OBM were recorded as 68 lb/100 ft2 and 69 lb/100 ft2 respectively while that of Diesel was 65 lb/100 ft2 and 67 lb/100 ft2. The plastic viscosity of rubber OBM was 12 cp while that of Diesel was 17 cp. They both exhibited Bingham Plastic behavior and a similar yield point of 146 lb/100 ft2. The formulated mud samples were subjected to temperatures of 60 ºC and 75 ºC and it was discovered that rubber OBM was more likely to retain its rheological property than diesel OBM. Comparison with other rheological properties of diesel OBM showed that the formulated mud could be used alternatively for diesel in drilling operations.
Volume: 10
Issue: 1
Page: 47-59
Publish at: 2021-03-01

A scalable FPGA based accelerator for Tiny-YOLO-v2 using OpenCL

10.11591/ijres.v8.i3.pp206-214
Yap June Wai , Zulkanain Mohd Yussof , Sani Irwan Md Salim
Deep Convolution Neural Network (CNN) algorithm have recently gained popularity in many applications such as image classification, video analytic, object recognition and segmentation. Being compute-intensive and memory expensive, CNN computations are common accelerated by GPUs with high power dissipations. Recent studies show implementation of CNN on FPGA and it gain higher advantage in term of energy-efficient and flexibility over Software-configurable-GPUs. The proposed framework is verified by implement Tiny-YOLO-v2 on De1SoC. The design development in this project is HLS approach to ease effort from writing complex RTL codes and provide fast verification through emulation and profiling tools provided in the OpenCL SDK. To best of our knowledge, this is the first implementation of Tiny-YOLO-v2 CNN based object detection algorithm on a small scale De1SoC board using Intel FPGA SDK for OpenCL approach.
Volume: 8
Issue: 3
Page: 206-214
Publish at: 2021-02-22

Performance evaluation of an efficient five input majority gate design in QCA nanotechnology

10.11591/ijres.v8.i3.pp194-205
Amanpreet Sandhu , Sheifali Gupta
Quantum-dot-cellular-automata (QCA) is the imminent transistor less technology, considered at nano level with high speed of operation and lower power dissipation features. The present paper proposes a novel and an efficient 5-input coplanar majority gate (PMG) with improved structural and energy efficiency. The proposed gate consumes an occupational area of 0.01μm2 with 17 QCA cells which is 50% less in comparison to the best designs reported in literature. The proposed structure is also more energy efficient because it dissipates 21.1% less energy than the best reported designs. The correctness of a proposed majority gate is verified by designing a single bit full adder. The new 1-bit full adder design is structural efficient and robust in terms of gate count and clock delay. It consumes occupational area of 0.05μm2 with 58 QCA cells showing 16.6% improvement in structural efficiency as compared to the best design reported in. It is having a gate count of 4 with the delay of 1 clock cycle. Here, the QCADesigner and QCAPro tools are utilized for the simulation and energy dissipation analysis of proposed majority gate and full adder design.
Volume: 8
Issue: 3
Page: 194-205
Publish at: 2021-02-22

A body bias technique for low power full adder using XOR gate and pseudo NMOS transistor

10.11591/ijres.v8.i3.pp162-168
Pritty Pritty , Manoj Kumar , Mariyam Zunairah
Power dissipation is a major issue in digital circuit design. As technology into developed into range, power and delay becomes vital nanometer parameters to ameliorate the performance of the circuit. To minimize the power consumption many low power techniques such as MTCMOS, stacking, body biasing techniques have been reported. In this paper, a new pseudo NMOS adder circuits have presented. It has designed using transmission gate and body bias technique. Simulation has been accomplished by using SPICE tool. The simulation result show the validity of the proposed techniques is reduces power dissipation from 0.367 mW to 0.267 mW and PDP reduced from 19.311pJ to 13.311pJ. Overall improvement of 29% in power consumption and 30% in PDP has obtained.
Volume: 8
Issue: 3
Page: 162-168
Publish at: 2021-02-22

Design and Implementation of Reduced Power Energy Efficient Binary Coded Decimal Adder

10.11591/ijres.v8.i3.pp185-193
N. Saravanakumar , K. Sakthi Sudhan , K. N. Vijeyakumar , S. Saranya
This paper presents a novel architecture for low power energy binary represented decimal addition. The proposed BCD adder uses Binary to Excess Six Converter (BESC) block for constant correction to adjusts binary outputs exceeding 9 to correct decimal values and exploits the inherent advantage of reduced delay and switching, due to elimination of long carry propagation in second stage addition as in conventional design and switching OFF of the BESC block for decimal outputs less than 9. The proposed BESC-BCD adder has been designed using VHDL code and synthesized using Altera Quartus II. Experimental results demonstrates that the proposed decimal adder can lead to significant power savings and delay reduction compared to existing BCD adders which is realised in better power-delay product(PDP) performance. For example the PDP saving of the proposed BESC-BCD adder for a 1 digit and 2 digit addition implementations are 11.6% and 16.05% respectively, compared to the best of the designs used for comparison.
Volume: 8
Issue: 3
Page: 185-193
Publish at: 2021-02-22

Designing ALU using GDI method

10.11591/ijres.v8.i3.pp151-161
Mohammadreza Fadaei
As CMOS technology is continuously becoming smaller and smaller in nanoscale regimes, and circuit resistance to changes in the process for the design of the circuit is a major obstacle. Storage elements such as memory and flip-flops are particularly vulnerable to the change process. Power consumption is also another challenge in today's Digital IC Design. In modern processors, there are a large number of transistors, more than a billion transistors, which increases the temperature and the breakdown of its performance. Therefore, circuit design with low power consumption is a critical need for integrated circuits today. In this study, we deal with GDI techniques for designing logic and arithmetic circuits. We show that this logic in addition to low power consumption has little complexity so that arithmetic and logic circuits can be implemented with fewer transistors. Various circuits such as adders, differentiation and multiplexers, etc. have been designed and implemented using these techniques, and published in various articles. In this study, we review and evaluate the advantages and disadvantages of these circuits.
Volume: 8
Issue: 3
Page: 151-161
Publish at: 2021-02-22

Design and implementation of CNTFET based ternary 1x1 memories

10.11591/ijres.v8.i3.pp175-184
S.Tamil Selvan , M. Sundararajan
In this paper presented Design and implementation of CNTFET based Ternary 1x1 RAM memories high-performance digital circuits. CNTFET Ternary 1x1 SRAM memories is implement using 32nm technology process. The CNTFET decresase the diameter and performance matrics like delay,power and power delay, The CNTFET Ternary 6T SRAM cell consists of two cross coupled Ternary inverters one is READ and another WRITE operations of the Ternary 6T SRAM cell are performed with the Tritline using HSPICE and Tanner tools in this tool is performed high accuracy. The novel based work can be used for Low Power Application and Access time is less of compared to the conventional CMOS Technology. The CNTFET Ternary 6T SRAM array module (1X1) in 32nm technology consumes only 0.412mW power and data access time is about 5.23ns.
Volume: 8
Issue: 3
Page: 175-184
Publish at: 2021-02-22

512 bit-SHA3 design approach and implementation on field programmable gate arrays

10.11591/ijres.v8.i3.pp169-174
S. Neelima , R. Brindha
In this work, the authors consider the newly selected Hash Secure (SHA-3) algorithm on FPGA Gateway. The design is logically optimized for zone efficiency by combining the Rho steps and the one-pass algorithm. Logically recording these three steps registers leads to usage 16% of the logical resources for all implementations. This in turn reduces the latency and increases the maximum operating frequency of the project. It uses only 240 sections and has a frequency of 301.02 MHz compared to the design results with the previous FPGA implementation described in SHA3-512, the design shows the Throughput-Per-Slice (TPS) ratio of 30, 1.
Volume: 8
Issue: 3
Page: 169-174
Publish at: 2021-02-22

IoT based implemented comparison analysis of two well-known network platforms for smart home automation

10.11591/ijece.v11i1.pp442-450
Sameer Alani , Sarmad Nozad Mahmood , Sarah Zaeead Attaallah , Haneen Sameer Mhmood , Zeena Abdulsattar Khudhur , Azzam Amer Dhannoon
The developments of the internet of things (IoT) technologies fascinated the universe and provided great opportunities to introduce these innovations in smart house networks. Smart home automation is highly required these days. Smart home automation is a collection of electronic devices connected to monitor and control in the market home appliance remotely. However, it is still needed to design a friendly and reliable system since the system mainly depends on the devices used and the environment of the network. NETPI and BLYNK are IoT frameworks used for hardware-agnostic with smartphones, websites, private clouds, system security, data mining, and deep learning. The results confirmed that NETPI provides flexibility to deal with several NODEMCU controllers in a single control framework. The proposed system shows its applicability in monitoring and controlling home appliances remotely.
Volume: 11
Issue: 1
Page: 442-450
Publish at: 2021-02-01

Invariant behavioural based discrimination for individual representation

10.11591/ijece.v11i1.pp736-744
Wong Yee Leng , Siti Mariyam Shamsuddin , Nor Azman Hashim
Writer identification based on cursive words is one of the extensive behavioural biometric that has involved many researchers to work in. Recently, its main idea is in forensic investigation and biometric analysis as such the handwriting style can be used as individual behavioural adaptation for authenticating an author. In this study, a novel approach of presenting cursive features of authors is presented. The invariants-based discriminability of the features is proposed by discretizing the moment features of each writer using biometric invariant discretization cutting point (BIDCP). BIDCP is introduced for features perseverance to obtain better individual representations and discriminations. Our experiments have revealed that by using the proposed method, the authorship identification based on cursive words is significantly increased with an average identification rate of 99.80%.
Volume: 11
Issue: 1
Page: 736-744
Publish at: 2021-02-01

Bangla language textual image description by hybrid neural network model

10.11591/ijeecs.v21.i2.pp757-767
Md. Asifuzzaman Jishan , Khan Raqib Mahmud , Abul Kalam Al Azad , Mohammad Rifat Ahmmad Rashid , Bijan Paul , Md. Shahabub Alam
Automatic image captioning task in different language is a challenging task which has not been well investigated yet due to the lack of dataset and effective models. It also requires good understanding of scene and contextual embedding for robust semantic interpretation of images for natural language image descriptor. To generate image descriptor in Bangla, we created a new Bangla dataset of images paired with target language label, named as Bangla Natural Language Image to Text (BNLIT) dataset. To deal with the image understanding, we propose a hybrid encoder-decoder model based on encoder-decoder architecture and the model is evaluated on our newly created dataset. This proposed approach achieves significance performance improvement on task of semantic retrieval of images. Our hybrid model uses the Convolutional Neural Network as an encoder whereas the Bidirectional Long Short Term Memory is used for the sentence representation that decreases the computational complexities without trading off the exactness of the descriptor. The model yielded benchmark accuracy in recovering Bangla natural language and we also conducted a thorough numerical analysis of the model performance on the BNLIT dataset.
Volume: 21
Issue: 2
Page: 757-767
Publish at: 2021-02-01

Focused and collimated Gaussian laser beam scintillation in weakly turbulent marine atmospheric medium

10.11591/ijece.v11i1.pp383-389
Ahmed A. Abbas , Hamza Gerçekcioğlu , H. Haldun Göktaş
The scintillation index on the axis for Gaussian beams focused and collimated in weak marine turbulence is formulated via the usage of Rytov method. The average bit error rate is evaluated using this formulation. The scintillation index and versus propagation distance and source size are determined by using the log-normal distributed. Intensity for the collimated and focused. Gaussian beams, which are exhibited for wavelength, source size, focal length, and . The focused beams are revealing more advantageous than collimated beams in an atmospheric marine environment. The findings of this study are significant for optical communication system performance in this layer.
Volume: 11
Issue: 1
Page: 383-389
Publish at: 2021-02-01

Resumption of virtual machines after adaptive deduplication of virtual machine images in live migration

10.11591/ijece.v11i1.pp654-663
Naga Malleswari T. Y. J. , Senthil Kumar T. , JothiKumar C.
In cloud computing, load balancing, energy utilization are the critical problems solved by virtual machine (VM) migration. Live migration is the live movement of VMs from an overloaded/underloaded physical machine to a suitable one. During this process, transferring large disk image files take more time, hence more migration and down time. In the proposed adaptive deduplication, based on the image file size, the file undergoes both fixed, variable length deduplication processes. The significance of this paper is resumption of VMs with reunited deduplicated disk image files. The performance measured by calculating the percentage reduction of VM image size after deduplication, the time taken to migrate the deduplicated file and the time taken for each VM to resume after the migration. The results show that 83%, 89.76% reduction overall image size and migration time respectively. For a deduplication ratio of 92%, it takes an overall time of 3.52 minutes, 7% reduction in resumption time, compared with the time taken for the total QCOW2 files with original size. For VMDK files the resumption time reduced by a maximum 17% (7.63 mins) compared with that of for original files.
Volume: 11
Issue: 1
Page: 654-663
Publish at: 2021-02-01
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