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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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Proximate Composition of Some Selected Browse Plants in Gombi Local Government Area, Adamawa State, Nigeria D.I. Mojaba; D. Khobe; E Nelson
International Journal of Advances in Applied Sciences Vol 5, No 2: June 2016
Publisher : Institute of Advanced Engineering and Science

Twelve (12) indigenous browse plants harvested from four districts of Gombi Local Government, Adamawa State were evaluated for their proximate composition. The samples were randomly collected in the study and identified at the Forestry Department, Ministry of Agriculture, Adamawa State. The proximate composition of the collected samples was carried out at the Animal production Nutrition Laboratory of Adamawa University, Mubi. Parameters measured include dry matter (DM), crude fibre (CF), crude protein (CP), Ash (minerals). Nitrogen free extract (NFE) and ether extract (EE). Results obtained showed that DM ranged from 55.5%-80%, CF (23-68%), CP (7.88-19.25%), NFE (22.25-69.97%), EE (3.0-6.0%) and Ash (6.0-12.00%). The data obtained were used to determine the suitability of the browse plants species for ruminant animal production. Results revealed that nutrient contents in plant samples vary in composition.

Energy and Load Aware Routing Protocol for Internet of Things S. Sankar; P. Srinivasan
International Journal of Advances in Applied Sciences Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Maximizing the network lifetime is one of the major challenges in Low Power and Lossy Networks (LLN). Routing plays a vital role in it by minimizing the energy consumption across the networks through the efficient route selection for data transfer. IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) is a IETF standardized IPv6 routing protocol for LLN. In this paper, we propose Energy and Load aware RPL (EL-RPL) protocol, which is an enhancement of RPL protocol. It uses a composite metric, calculated based on expected transmission count (ETX), Load and battery depletion index (BDI), for the route, selection. The COOJA simulator is used for performance evaluation. EL-RPL is compared with other similar protocols RER(BDI) RPL and fuzzy logic based RPL (OF-FL RPL). The simulation result shows that the EL-RPL improves the network lifetime by 8-12% and packet delivery ratio 2-4%.

Compact planar ultrawideband MIMO antenna for wireless applications P. Pavithra; A. Sriram; K. Kalimuthu
International Journal of Advances in Applied Sciences Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

A compact microstrip fed printed monopole MIMO antenna with ultrawideband (UWB) frequency response (S11< -10 dB for 3.1-10.6 GHz) is proposed in this paper. The proposed antenna is miniaturized and has a high isolation of > 23 dB between the ports compared to the existing UWB multiinput multi output (MIMO) antennas in the literature. The proposed antenna is built on FR4 substrate with thickness of 1.6 mm using all-digital single chip architecture and it is planar in geometry to be easily integrated with the other electronic components in the printed circuit board (PCB). The UWBMIMO antenna is analyzed using simulation and measurements and its performance is investigated. The antenna is extremely useful for low power short range communications and it provides high multipath immunity due to diversity.

Novel Design of Reversible MUX and DEMUX using GDI Techinque Majety Naveenkumar
International Journal of Advances in Applied Sciences Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Now a day’s Reversible logic is playing a crucial role in designing of digital circuits and it is used in reducing power consumption in digital design. By regaining the bit loss it reduces the power consumption in digital circuits. Gate diffusion input (GDI) is a technique of low-power digital circuit design. This technique reduces the power consumption, delay, and transistor count by maintaining the complexity very low of logic design. In these paper a novel MUX and DEMUX has been presented, which can be extended up to 1:2n and 2n:1 respectively and these are developed by using only one type of Reversible gate i.e. Fredkin Gate (FRG) and Not Gate. The simulations are done in H-Spice using 90nm technology.

Recycling of Industrial Waste Water for the Generation of Electricity By Regulating the Flow Control Sensor using IoT Kaviyaraj. R; Karthika M S; Jeni Narayanan L.A; Saleekha .
International Journal of Advances in Applied Sciences Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

The paper focuses on generating the renewable energy source from industrial waste water effluents. Utilizing the industrial waste water in order to generate electricity, a flow control sensor has been installed at the outlet of the tunnel which passes the waste water to the turbine. As per the need, the generation of electricity varies with respect to the flow through the use of flow control sensor. The generated electricity is then used for powering the street lights, gardening and run-way paths, during night time. The flow control sensor when integrated using IoT and cloud storage facilitates efficiency and scalability thereby providing massive utilization of energy usage.

Top-K search scheme on encrypted data in cloud Katari Pushpa Rani; L. Lakshmi; Ch. Sabitha; B. Dhana Lakshmi; S. Sreeja
International Journal of Advances in Applied Sciences Vol 9, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

A Secure and Effective Multi-keyword Ranked Search Scheme on Encrypted Cloud Data. Cloud computing is providing people a very good knowledge on all the popular and relevant domains which they need in their daily life. For this, all the people who act as Data Owners must possess some knowledge on Cloud should be provided with more information so that it will help them to make the cloud maintenance and administration easy. And most important concern these days is privacy. Some sensitive data exposed in the cloud these days have security issues. So, sensitive information ought to be encrypted earlier before making the data externalized for confidentiality, which makes some keyword-based information retrieval methods outdated. But this has some other problems like the usage of this information becomes difficult and also all the ancient algorithms developed for performing search on these data are not so efficient now because of the encryption done to help data from breaches. In this project, we try to investigate the multi- keyword top-k search problem for encryption against privacy breaks and to establish an economical and secure resolution to the present drawback. we have a tendency to construct a special tree-based index structure and style a random traversal formula, which makes even identical question to supply totally different visiting ways on the index, and may additionally maintain the accuracy of queries unchanged below stronger privacy. For this purpose, we take the help of vector area models and TFIDF. The KNN set of rules are used to develop this approach.

Artificial Neural Network Based Economic Generation Scheduling in Nigeria Power Network Omorogiuwa Eseosa; Onohaebi S.O
International Journal of Advances in Applied Sciences Vol 3, No 4: December 2014
Publisher : Institute of Advanced Engineering and Science

Economic generation scheduling determines the most efficient and economic means of dispatch of generated energy to meet the continuously varying load demand at the most appropriate minimum cost, while meeting all the units equality and inequality constraints in power network. This is currently not applicable in Nigeria power network. The network under study consists of seventeen (17) generating stations (Existing Network, National Integrated Power Projects and the Independent Power Producers). This work investigates economic generation and scheduling in Nigeria 330KV integrated power network at minimum operating cost using the classical kirmayer’s method and Artificial Neural Network (ANN) for its optimization in Matlab environment. ANN is trained to adopt its pattern at different load demands and acquires the ability to give load demand as soon as the set target and goal tends to equality. Cost function for each generating unit as well as a model for economic generation scheduling was developed.

Hybrid Flow Architecture for Stable and Scalable Routing in Named Data Networks P. Durgaprasad; K. Kranthi Kumar
International Journal of Advances in Applied Sciences Vol 5, No 4: December 2016
Publisher : Institute of Advanced Engineering and Science

The named data network is a new technology in routing were its forwarding plane helps us to recover the data on its own when the network failures occur.in this NDN the major issue are when the data is sent from one network to the other the data flow is not stable. By major survey we came to know that routing protocols plays a major role for the stable and scalable data flow. This routing protocols and be classified by forwarding process and also network topologies were the protocols have the data that can be retrieved back whenever the network faults occur. In this paper we proposed that hybrid flow architecture, network topologies and routing protocols are improved to get the stable and scalable routing when the data flow is interrupted.

A computer vision-based weed control system for low-land rice precision farming Olayemi Mikail Olaniyi; E. Daniya; J. G. Kolo; J. A. Bala; A. E. Olanrewaju
International Journal of Advances in Applied Sciences Vol 9, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Agricultural sector is one of the economic pillars of developing nations, because it provides means of boosting gross domestic profit. However, weeds pose a threat to food crop by competing with it for nutrients and undermining the profit to be made from it. The treatment of these weeds is necessary, but at minimal impact on the actual food crop. Herbicide usage is one major means of weed control, owning to the expensive and labour-intensive nature of hand weeding. Recently, the need for site specific spraying has been on the rise because of health concerns which have been raised on the effect of herbicides on food crops and the effect on the environment. Most research on the field focuses on accurately identifying the weeds whilst neglecting the weed control. In this research, we apply fuzzy logic-based expert system to control how herbicide is sprayed on low-land rice in order to reduce excessive herbicide usage. The system supplies the control with weed density (Box size) and confidence level. The values of both are then passed to the fuzzy logic control for spray decision. The Sugeno as well as Mamdani models were tested using generated values for detected weed box size and confidence levels of the computer vision. The mean absolute error obtained was 0.9 for both, and 0.3 and 0.2 respectively, for the mean square error. The error shows how accurate the system can be and with low error value, it shows that the system implementation is capable of providing control for spraying of herbicides which in turn will yield more returns for low-land rice farmers.

A Key Agreement Protocol Based on Superior Fractal Sets Shafali Agarwal; Ashish Negi
International Journal of Advances in Applied Sciences Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

The fractal properties endeavour of inventing new techniques because of its complex structure. Mandelbrot and Julia sets are created by using the same function but in different parameter plane. This strong connection of fractals leads its use in the field of cryptography. In the proposed protocol, superior Mandelbrot set function is used to calculate the public keys with the help of chosen private keys as input parameter whereas superior Julia set function is used to generate a shared private key by using public keys of either side for both parties which is impossible to hack by an intruder.

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