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International Journal of Advances in Applied Sciences
ISSN : 22528814     EISSN : 27222594     DOI : http://doi.org/10.11591/ijaas
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 8 Documents
Search results for , issue "Vol 7, No 4: December 2018" : 8 Documents clear
A Secure Data Transmission Scheme using Asymmetric Semi-Homomorphic Encryption Scheme S. Nagavalli; G. Ramachandran
International Journal of Advances in Applied Sciences Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (967.981 KB) | DOI: 10.11591/ijaas.v7.i4.pp369-376

Abstract

The compressive detecting based information accumulation accomplishes with high exactness in information recuperation from less inspection which is available in sensor nodes. In this manner, the existing methods available in the literature diminish the information gathering cost and delays the existence cycle of WSNs. In this paper, a strong achievable security model for sensor network applications was initially proposed. At that point, a secure data collection conspire was displayed based on compressive detecting, which improves the information protection by the asymmetric semi-homomorphic encryption scheme, and decreases the calculation cost by inadequate compressive grid. In this case, particularly the asymmetric mechanism decreases the trouble of mystery key circulation and administration. The proposed homomorphic encryption permits the in-arrange accumulation in cipher domain, and in this manner improves the security and accomplishes the adjustment in system stack. Further, this paper focuses on estimating various network performances such as the calculation cost and correspondence cost, which remunerates the expanding cost caused by the homomorphic encryption. A real time validation on the proposed encryption scheme using AVISPA was additionally performed and the results are satisfactory.
Automation of DMPS Manufacturing by using LabView &PLC F. Fareeza; Chunchu Rambabu; S. Krishnaveni; Abel Chernet Kabiso
International Journal of Advances in Applied Sciences Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (611.916 KB) | DOI: 10.11591/ijaas.v7.i4.pp322-333

Abstract

This Paper is to enable the Siemens (Programmable Logic Control) CPU 313-5A to communicate with the Lab VIEW and to control the process accuracy by image processing. The communication between CPU 313-5A and Lab VIEW is via OPC (OLE for Process Control).Process Accuracy is achieved with the use of Labview Image Processing and Gray Scale matching Pattern. Accuracy in the gray scale matching will purely depend on the calibration of the camera with respect to the corresponding image. The digital output from the labview is communicated to PLC via Ethernet Protocol for the industrial process control. With the use of Labview the dead time while using the normal image vision module in PLC can be minimized. Labview uses the gray scale matching technique which is more accurate than the normal image vision module used in PLC.
Data Visualization and Analysis of Engineering Educational Statistics Siddhaling Urolagin; Ishita Upadhyaya; Afrah Abbas Thakur
International Journal of Advances in Applied Sciences Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (586.818 KB) | DOI: 10.11591/ijaas.v7.i4.pp309-316

Abstract

Engineering, is one of the most popular fields of higher education in the modern day woreld. Majority of the students these days opt for engineering as a career, due to the vastness of choices provided by engineering. Mechanical, Electrical, Computer Science, Civil and Biotechnology are the various disciplines and have varying strength in terms of number of students who join a particular discipline. In this research, we have gather data from various published articles about engineering education and carried out the data visualization and analysis using Tableau 9.2. The objective of the analysis is to help the students to make the decision and the choice about discipline of engineering from which particular university would be the most suitable based on the data collected and represented. Various categories of statistics such as number of graduates from a particular university in a particular discipline, and which university had the maximum number of graduates in a certain year will help the students make their decisions about their future in a more easy and a sorted manner.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.85 KB) | DOI: 10.11591/ijaas.v7.i4.pp347-352

Abstract

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.
Coding Schemes for Implementation of Fault Tolerant Parrallel Filter Nutenki Siddhartha; G. Renuka
International Journal of Advances in Applied Sciences Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (437.424 KB) | DOI: 10.11591/ijaas.v7.i4.pp353-360

Abstract

Digital filters are utilized as a one of flag handling and correspondence frameworks. At times, the unwavering quality of those frameworks is basic, and blame tolerant channel executions are needed. Throughout the years, numerous systems that endeavor the channels' structure and properties to accomplish adaptation to internal failure have been proposed. As innovation scales, it empowers more unpredictable frameworks that join many channels. In those perplexing frameworks, it is regular that a portion of the channels work in parallel. A plan in view of big rectification coding has been as of late proposed to protect parallel channels. In that plan, each channel is deal with as a bit, and excess channels that go about as equality check bits are acquainted with distinguish and rectify blunders. In this short, applying coding systems to secure parallel channels is tended to in a more broad manner. This decreases the assurance overhead and makes the quantity of excess channels autonomous of the quantity of parallel channels. The proposed technique is first described and then illustrated with two case studies. Finally, both the effectiveness in protecting against errors and the cost are evaluated for a field-programmable gate array implementation.
Early Detection of High Blood Pressure and Diabetic Retinopathy on Retinal Fundus Images Using CBRIR Based on Lifting Wavelets S. S. Tadasare; S. S. Pawar
International Journal of Advances in Applied Sciences Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (799.627 KB) | DOI: 10.11591/ijaas.v7.i4.pp334-346

Abstract

In this paper we present a lifting wavelet based CBRIR image retrieval system that uses color and texture as visual features to describe the content of a retinal fundus images. Our contribution is of three directions. First, we use lifting wavelets 9/7 for lossy and SPL5/3 for lossless to extract texture features from arbitrary shaped retinal fundus regions separated from an image to increase the system effectiveness. This process is performed offline before query processing, therefore to answer a query our system does not need to search the entire database images; instead just a number of similar class type patient images are required to be searched for image similarity. Third, to further increase the retrieval accuracy of our system, we combine the region based features extracted from image regions, with global features extracted from the whole image, which are texture using lifting wavelet and HSV color histograms. Our proposed system has the advantage of increasing the retrieval accuracy and decreasing the retrieval time. The experimental evaluation of the system is based on a db1 online retinal fundus color image database. From the experimental results, it is evident that our system performs significantly better accuracy as compared with traditional wavelet based systems. In our simulation analysis, we provide a comparison between retrieval results based on features extracted from the whole image using lossless 5/3 lifting wavelet and features extracted using lossless 9/7 lifting wavelet and using traditional wavelet. The results demonstrate that each type of feature is effective for a particular type of disease of retinal fundus images according to its semantic contents, and using lossless 5/3 lifting wavelet of them gives better retrieval results for almost all semantic classes and outperform 4-10% more accuracy than traditional wavelet.
Mobile Application Development with Android Rajesh Keshavrao Deshmukh; Shilpa Markandey; Pooja Sahu
International Journal of Advances in Applied Sciences Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (389 KB) | DOI: 10.11591/ijaas.v7.i4.pp317-321

Abstract

The Android is mobile platform. It is an open source and free operating system application, by Google it is developed and maintained. It was designed essentially for touch screen mobile devices, such as and tablet, computers, smart phones, watch television, cars etc. Android is one of the most widely used mobile OS. Android is a not only operating system but also key applications and middleware. Android is an open source operating system. It is developed by the open handset Alliance, led by Google, and other companies. Those are used to android studio 2.2.3 version and development the mobile application.
Lossless 4D Medical Images Compression Using Adaptive Inter Slices Filtering Leila Belhadef; Zoulikha Mekkakia Maaza
International Journal of Advances in Applied Sciences Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.485 KB) | DOI: 10.11591/ijaas.v7.i4.pp361-368

Abstract

Recent lossless 4D medical images compression works are based on the application of techniques originated from video compression to efficiently eliminate redundancies in different dimensions of image. In this context we present a new approach of lossless 4D medical images compression which consists to application of 2D wavelet transform in spatial directions followed or not by either lifting transform or motion compensation in inter slices direction, the obtained slices are coded by 3D SPIHT. Our approach was compared with 3D SPIHT with/without motion compensation. The results show our approach offers better performance in lossless compression rate.

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