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International Journal of Advances in Applied Sciences

IJAAS
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Published by Institute of Advanced Engineering and Science

ISSN : 22528814 EISSN : 27222594 DOI : http://doi.org/10.11591/ijaas

Core Subject : Science, Education, Social,

Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

International Journal of Advances in Applied Sciences (IJAAS) is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of applied and theoretical sciences. The journal is designed to serve researchers, developers, professionals, graduate students and others interested in state-of-the art research activities in applied science areas, which cover topics including: chemistry, physics, materials, nanoscience and nanotechnology, mathematics, statistics, geology and earth sciences.

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Articles 635 Documents

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Development of Russian Driverless Electric Vehicle Andrey Mikhailovich Saykin; Sergey Evgenievich Buznikov; Denis Vladimirovich Endachev; Kirill Evgenievich Karpukhin; Alexey Stanislavovich Terenchenko
International Journal of Advances in Applied Sciences Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

This article overviews the history of development of driverless vehicles both in Russia and the World. Foreign experience of development of driverless vehicles, including electric traction, is analyzed. Main stages of creation of experimental NAMI driverless electric vehicle are revised. Main engineering solutions are described concerning development of advanced NAMI driverless electric vehicle, its major components and control systems. Projects aimed at environmental safety of passengers in NAMI driverless electric vehicle are exemplified. Results of bench scale and running tests of NAMI driverless electric vehicle are summarized. Major advantages of driverless energy efficient and environmentally clean transport are demonstrated.

A novel impedance source fed H-type flying capacitor multilevel inverter Chinnapettai Ramalingam Balamurugan; P. Vijayakumar; T. Sengolrajan
International Journal of Advances in Applied Sciences Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

In this paper, simulation using MATLAB/SIMULINK is performed withbipolar triangular fixed amplitude multi-carrier Phase Disposition (PD)PWM strategy with sine wave, Third Harmonic Injection, 60 degree Pulse Width Modulation and stepped wave reference for the chosen impedance Source based H-Type flying capacitor Multilevel Inverter (ISBH-Type FCMLI). The root means square value of the fundamental component and Total Harmonic Distortion of the output voltage which are the most important performance indices for the chosen inverter topologies are evaluated presented and compared for various references through duty ratios. From the simulation results it is observed that for various references the THD is almost similar but the root mean square value in terms of voltage is more for THI, 60 degree PWM and stepped wave reference with phase disposition strategy. The results are obtained for ma (amplitude modulation index) < 1 (under amplitude modulation index), ma=1 (normal amplitude modulation index) and ma > 1 (over amplitude modulation index).

An Optimal Replenishment Policy for the EPQ Model with Permissible Delay in Payments Shih-Ming Ou; Kuo-Kuang Chang
International Journal of Advances in Applied Sciences Vol 5, No 1: March 2016
Publisher : Institute of Advanced Engineering and Science

Most of the past researches on economic replenishment quantity did not consider the trade credit period. In practice, however, companies in Taiwan have shown that taking the trade credit period into account when they are making inventory decisions decreases costs substantially. The aim of this paper is to develop an inventory model that incorporates a delay in payments to minimize the total inventory-relevant cost. The optimal replenishment policy of the proposed model is identified by utilizing the global optimum conditions and non-constrained quadratic nonlinear programming. The results show that the existence of global optimal inventory cycle under the condition of total cost function is convex. Accordingly, the proposed model can assist managers in effectively addressing EPQ issue under competitive market.

Design and Analysis of an Improved Nucleotide Sequences Compression Algorithm Using Look up Table (LUT) Govind Prasad Arya; R.K. Bharti; Devendra Prasad
International Journal of Advances in Applied Sciences Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

DNA (deoxyribonucleic acid), is the hereditary material in humans and almost all other organisms. Nearly every cell in a person’s body has the same DNA. The information in DNA is stored as a code made up of four chemical bases: adenine (A), guanine (G), cytosine (C), and thymine (T). With continuous technology development and growth of sequencing data, large amount of biological data is generated. This large amount of generated data causes difficulty to store, analyse and process DNA sequences. So there is a wide need of reducing the size, for this reason, DNA Compression is employed to reduce the size of DNA sequence. Therefore there is a huge need of compressing the DNA sequence. In this paper, we have proposed an efficient and fast DNA sequence compression algorithm based on differential direct coding and variable look up table (LUT).

A modeling of copt-hâˆž controller and its performance investigation in opto electric system Ramya, K; Kumar, KA Ramesh
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v10.i1.pp%p

Â This research work proposes Concentrated Opto Power Tracker (COPT) - Hâˆž controller modeling in Opto-Electric Converter System (OECS). The premeditated controller is designed using Riccati equation by considering the system uncertainties. State variable analysis approach is used for the analysis of the controller with system uncertainties. The designed controller is interfaced between the voltage Bias converter and the utility grid. With the proposed controller the grid voltages are estimated (eÎ±,est, eÎ²,est) and is compared with the actual one (eÎ±, eÎ²) to check for estimation errors and is observed that the estimation errors are close to zero. The Proposed work concentrates mainly on the modeling of Opto-Electric Converter System (OECS) for parameter uncertainties in the system for system stability. Modeling, Simulation and experimental results are done in MATLAB/SIMULINK to verify the performance of the Concentrated Opto Power Tracker (COPT) - Hâˆž controller.

The Fallacy of Zero Inventories for Purchased Parts in Small Manufacturing and Job Shops William E. Mueller; Gholam H. Massiha; Corinne Dupuy
International Journal of Advances in Applied Sciences Vol 4, No 2: June 2015
Publisher : Institute of Advanced Engineering and Science

In this article we examine the soundness of receiving most vendor shipments just prior to the time of use and then immediately delivering them from the receiving area to the point of use by some small US manufacturing industry. This approach in theory would save handling cost, storage cost, and inventory holding cost, the real world offers numerous pitfalls, especially for smaller manufacturers and job shops.

Car following and lane changing behavior using NGSIM and China data Md Mijanoor Rahman; Mohd. Tahir Ismail; Majid Majahar Ali
International Journal of Advances in Applied Sciences Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Road safety is imperative theme because increasing road fatalities deaths in world. Besides road fatalities, traffic jam is increasing, human is frustrated for uncomfortable journey. The roads safety and passengers comfortable of the roadway system are vastly depended on the Car following (CF) and Lane Changing (LC) features of drivers. CF and LC theory describe the driver behavior by following paths in a traffic stream. In this research, researchers have compared to US-101 Next-Generation-Simulation (NGSIM) data with Beijing forth ring road, China freeways real trajectory data by CF and LC models. The CF data has been calibrated with Genetic Algorithm (GA). Reproducing Kernel Hilbert Space (RKHS) is generated the LC beginning and finishing points. Findings revealed that the CF parameters as maximum acceleration, minimum deceleration, free speed, minimum headway and stopping distance percentages of Chinese data are 74.71%, 79.95%, 66.57%, 0.018% and 65.65% respectively of NGSIM data. After completing the comparison, researchers have been found out optimization safety and comfortable acceleration-deceleration and LC beginning-finishing points of driver behavior. Here this analysis generates the driver behavior at real traffic network on the express highways of specific two roads US-101 (NGSIM) data and Chinese freeways data. Since NGSIM data is well simulated so road traffic is more safety and comfortable for journey.

Real power loss reduction by dolphin swarm algorithm Kanagasabai Lenin
International Journal of Advances in Applied Sciences Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

In this work Spinner Dolphin Swarm Algorithm (SDSA) has been applied to solve the optimal reactive power problem. Dolphins have numerous remarkable natural distinctiveness and living behavior such as echolocation, information interactions, collaboration, and partition of labor. Merging these natural distinctiveness and living behavior with swarm intelligence has been modeled to solve the reactive power problem. Proposed Spinner Dolphin Swarm Algorithm (SDSA) has been tested in standard IEEE 14,300 bus test system and simulation results show the projected algorithm reduced the real power loss extensively.

Sensitivity analysis of simplified low cost converging thermal wave technique for thin bilayer solid M. Shahril Shahril Bin Husin
International Journal of Advances in Applied Sciences Vol 3, No 3: September 2014
Publisher : Institute of Advanced Engineering and Science

In this paper, the sensitivity analysis of thermo physical parameters of the semi-infinite bilayer was presented by using a simplified converging thermal wave model. This is done under the consideration that radial flow of converging thermal wave substantially dominates in the first layer and axial thermal wave, dominates in the second layer. The sensitivity of the correlated parameters due to the 5%, 10% and 100% of increment were evaluated.. The results of the calculated temperature were simulated by Mathematica software, in order to generate a sensitivity analysis and examined by graphs. From this analysis, we concluded the optimum conditions, hence to be applied in the real experiment. Our merit on this report is for introducing a simple method of optical transient heating by using low cost equipment such as camera’s flash lamp and thermocouple, which may also apply to the short pulse laser measurement. A brief theory of the present work is presented and the results obtained from the simulation are discussed.

Solar irradiance forecasting using fuzzy logic and multilinear regression approach: A case study of Punjab, India Sahil Mehta; Prasenjit Basak
International Journal of Advances in Applied Sciences Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

The accurate forecasting of solar irradiance depends on various uncertain parameters like time of day, temperature, wind speed, humidity, and atmospheric pressure. All these play an important role in calculating PV power output. In this paper, a novel approach for forecasting of solar irradiance using flexible and accurate fuzzy logic and robust multi-linear regression approach has been proposed considering the above mentioned five variables. Based on the simultaneous consideration of those five variables, the solar irradiance is forecasted using the proposed methodology at a particular location in India, and the results are compared with the real time measured value of solar irradiance at that location on the days for which solar irradiance are forecasted. The proposed method is validated by comparing the results with real time data. The error analysis of the fuzzy logic based proposed system shows the root mean square error of 10.011 and mean absolute percentage error of 1.703%, while compared with real time data measured by instruments pyranometer, anemometer etc. The same results are found better while compared with the results obtained using multilinear regression approach.

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