Welcome to International Journal of Emerging Technologies in Engineering Research (IJETER)

Volume 7, Issue 4, April (2019)

S.No	Title & Authors	Full Text
1	Utilization of Agro Residual Wastes in Ultra High Strength Concrete U. Kayalvizhi, M. Kathiresan, A. Ayyappan, S. Divya Abstract - This study is to investigate the feasibility of using agro residual wastes i.e, Rice Husk Ash (RHA) and Bagasse Ash (BA) in the production of Ultra High Strength Concrete (UHSC).One of the latest advances in Concrete Technology is Ultra High Strength Concrete. The aim of this research is to characterise the incineration temperature & burning period of agro residual wastes using XRD & EDAX analysis. The raw rice husk & sugarcane bagasse was collected from the industries and kept in furnace at different temperatures for removal of carbon content. The range for burning temperature and residence period was fixed for both Rice Husk Ash and Bagasse Ash. The selected burning temperature of bagasse ash varies between 500°C to 6500C from 1 hour to 4 hour residence; similarly for Rice Husk Ash burning temperature ranges between 550°C to 750°C. The samples were sent to XRD for EDAX test analysis. The XRD and EDAX test analysis revealed that bagasse ash subjected to incineration of 500°C and 1 hour residence; rice husk ash subjected to 600°C and 2 hours residence was exhibit high silica content and no carbon content were suitable for used in production of UHSC.	Download
2	Telemonitering of Parkinson's Disease Progression through Non Invasive Speech Test Srikrishnan S, A.Ramcharan, Vijith Kanna.P, Dr.S.Sudha Abstract - The project focuses on telemonitoring of Parkinson’s disease, which is a neurodegenerative disorder. This disease destroys the ability to move and claim lives at an epidemic rate worldwide. What is interesting though is that voice is affected as much by Parkinson’s as limb movements. Tracking Parkinson’s disease (PD) symptom uses the Unified Parkinson’s Disease Rating Scale (UPDRS). The project characterizes speech with signal processing algorithms, extracting clinically useful features of average PD progression to remotely replicate UPDRS assessment with accuracy. Tracking Parkinson’s disease usually requires the patient’s presence in clinic, and time-consuming physical examinations are done by trained medical staff. Symptom monitoring is costly and inconvenient for patient and clinical staff alike, also hampering recruitment for future large-scale clinical trials. So, Tele monitoring of PD would be the better option as it uses only simple self-administered and non-invasive speech tests. The features are extracted from the voice input using Pratt software. They cover a range of classical and novel clinical dysphonia analysis algorithms and the selected subset of features are passed to UPDRS using linear and nonlinear regression techniques, which includes classical least squares and non-parametric classification and regression trees(CART). These techniques are performed using R language in Rstudio.	Download
3	Novel Heterogeneous Data Integration Using KNN Algorithm Anto Germin Sweeta J, Dr. B. Ramakrishnan Abstract - The huge amount of data is produced daily owing to the tremendous growth of information and communication technology. As these data are individual they have no use. In this paper, we propose a heterogeneous data integration framework for multi-source data. Already many authors have done heterogeneous data integration successfully. However, everyone has its own disadvantage. In all the methods developed already has been only given importance to data integration. However, no one checks the genuineness of the data. Consequently, the existing data integration architecture cannot provide an accurate business model to the customers. In this paper, we develop a four-tier multisource data integration framework for Business Intelligence System (BIS). In this, we first solve the data genuineness problem by using pattern mining method. Moreover, the KNN algorithm is used for solve the multisource text classification problem. The experimental result of our proposed system proves that the novel multisource data integration framework yields better results than the already existing methods.	Download
4	Graphical Secret Code in Internet Banking for Improved Security Transaction Secure Bank V. Sathya, T. Surya Reddy, U. Sai Kiran, S. Akshith Reddy, K Raghavendra Abstract - With the proliferation of websites, the security level of password-protected accounts is no longer purely determined by individual ones. Users may register multiple accounts on the same site or across multiple sites, and these passwords from the same users are likely to be the same or similar. As a result, an adversary can compromise the account of a user on a web forum, then guess the accounts of the same user in sensitive accounts.The proposed framework having the character for each individual note and a proficient viable client verification conspire utilizing use diverse cryptographic natives, for example, encryption and pixel distinguishing proof and clients have extra pixel recognizable proof framework. In proposed framework implies that for every last cash in our application surrendered by the client we will produce the interesting id for each money, when the sum is exchanged from source to goal not just the sum and check of the money will be taken not withstanding that one of a kind id will likewise be exchanged with the goal that we can track the way of the cash going around.The unprecedented development of internet keeping money and web based business frameworks has prompted a gigantic increment in the quantity of usernames and passwords oversaw by singular clients.In this authentication system, our usability goal is to support the users in selecting better passwords, thus increases the security by expanding the effective password space.Thus click-based graphical passwords encourage users to select more random, and hence more complex to guess, click-points.In proposed framework implies that for every last cash in our application surrendered by the client we will produce the interesting id for each money, when the sum is exchanged from source to goal not just the sum and check of the money will be taken notwithstanding that one of a kind id will likewise be exchanged with the goal that we can track the way of the cash going around. The unprecedented development of internet keeping money and web based business frameworks has prompted a gigantic increment in the quantity of usernames and passwords oversaw by singular clients.	Download
5	Design and Fabrication of Labour Intensive Soap Punching Unit Dr. S.S. Deshmukh Abstract - As today is the age of Industrialization and Automation, and today’s need is to incubate the growing industries by providing them with sustainable environment to retain their existence in the global scenario. In MSME (Micro Small Medium Enterprise) every industry starting from Micro to Medium Scale is trying to do the optimum production by implementing newer technology with less human inputs and fighting to get stable in the market. The objective of this work is to help small soap manufacturing units by providing state of art manual and compact special purpose soap printing instrument. A Geneva Mechanism is used to satisfy the aim. The Geneva mechanism converts the rotary motion into intermittent rotary motion. In this working model, our goal is to achieve loading, punching/stamping, unloading, oiling and cleaning of soap cake. In this actual working model; associate only have to place all the components at its proper position and rest of the work will be carried out by the equipment itself.	Download
6	Review of Segmentation and DT-DWT Techniques Shivani Chourasia, Anand Vardhan Bhalla Abstract - Image segmentation is a process of partitioning digital image into multiple segments that is set of pixels also known as superpixels. In image segmentation the goal is to simplify or change representation of image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. Image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics. Each of the pixels in a region is similar with respect to some characteristic or computed property, such as color, intensity, or texture. Image segmentation is currently a prominent topic for both military and commercial researchers. In image processing different processes are done on images to enhance it at different parameters. These processes are not directly applied on images but before that it needs to be segmented or divided in smaller parts called pixels or small blocks of pixels. So segmentation becomes an integral and basic part in image analysis and error at this stage can influence other processing techniques. Dual tree discrete wavelet transform is characterization technique which is found to outperform the existing spatial-frequency methods like Discrete Wavelet filters, Complex Wavelet filters, Gabor filters etc. In image segmentation problem of extracting features arise naturally which can be resolved to a greater extent by using best known technique for feature extraction.	Download