Miracle-dz/UniFAR-FTUs huggingface dataset:
Embedded Based Conveyance Authentication and Notification System

Amidst the rapid increase in population and urbanization, the use of automobiles is increasing rapidly. Though there are improved safety and security features with advancement in technology, there are no vehicle regulatory systems that provide automation in vehicle monitoring and act violations. The main objective of the work is to have a centralized server based monitoring of vehicles with an advanced security system realized in two levels of verification (password and RFID card i.e. driving license) for engine ignition. In addition to this, the centralized server maintains two separate data bases i.e. one for the vehicle and another for the person who rides it. A unique id is allotted for the vehicle and RFID card (smart card driving license) can be used to identify the object. The unique identifiers linked to the respective person's bank account debits the penalty/toll fare when the vehicle passes by toll gates/check posts. This provides a way for reducing any possibility of corruption in motor vehicles section as the penalty will be deducted straightforwardly from the person's account by an automated system. Embedded system is now an emerging technology in various fields, which is well known for its compact size, processing speed etc. It also plays a leading role in security and process management. Smart card driving license is a plastic card with a chip containing some KB of memory is widely used in many countries. The details about the license holder like his/her name, address, computer generated license number, date of issue, biometric fingerprint and Digital signature will be recorded in the computerized database and also on the chip. Radio Frequency Identification (RFID) is a common term used to depict a system utilizing radio waves by which the object or person is identified by means of a unique serial number. A centralized database management system on the other hand has many advantages in taking the technology to the next level. The microcontrollers are very useful to an extent in communicating with the devices such as displays, sensors, etc. The work deals with the federalization of vehicle act automation which has a centralized database helps in maintaining the data's of vehicles and drivers. The RFID based system helps in tracking the vehicles and collecting the penalties/toll charges directly from their bank accounts. Zigbee and GSM are the most effective and are widely used wireless communication techniques. The GSM module helps to notify the persons about the debited charge amount and the reason for the deduction. Zigbee is used for communication between the vehicle unit and the main server. This security system is simple and cost effective when compared to the use of gadgets which are of high cost.
PERFORMANCE ANALYSIS OF LOCALIZATION ALGORITHM FOR ENERGY EFFICIENT NODE DEPLOYMENT IN UNDERWATER ACOUSTIC SENSOR NETWORKS

Node deployment is the most important and fundamental tasks to study the localization performance in underwater acoustic sensor networks (UASNs). In this paper the regular tetrahedron deployment schemes is employed to study the performance of different localization algorithms such as three dimensional underwater localization(3DUL), particle swarm optimization (PSO), location dispatch based on command nodes(LDBCN), dive and rise (DNR) positioning algorithms. The localization performance is analyzed based on the various parameters such as network lifetime, localization error, energy consumption and network coverage. The simulation results shows that the DNR algorithm works efficiently based on network coverage and energy consumption.
Artificial Bee Colony Algorithm to improve brain MR Image Segmentation

- Image segmentation is a primary step in image analysis used to separate the input image into meaningful regions. MRI is an advanced medical imaging technique widely used in detecting brain tumors. Segmentation of Brain MR image is a complex task. Among the many approaches developed for the segmentation of MR images, a popular method is fuzzy C-mean (FCM). In the proposed method, Artificial Bee Colony (ABC) algorithm is used to improve the efficiency of FCM on abnormal brain images.
Removal of phenol from Effluent in Fixed Bed: A Review

Phenol removal from wastewater is very widely studied area of research. The practical approach for phenol removal by adsorption involves study of batch adsorption and more importantly the fixed bed operation. In the present study, various aspects of fixed bed adsorption for phenol have been discussed. The review of research carried out on this topic is presented. The phenol removal in fixed bed has been carried out by using adsorbents, biosorbents, aerobic and anaerobic biological mechanisms. In most of the investigations fixed bed adsorption was found to be satisfactory in terms of removal efficiency and time. The nature of break through curve was justified by using various models. The experimental data was in agreement with model results. In most of the cases, the equilibrium capacity increased with increase in influent concentration, bed height and decreased with increase in flow rate. Keywords— Adsorption, saturation time, isotherms, kinetics, flow rate, concentration , removal efficiency.
Study of BMP15 gene Polymorphisim in Lehri Goat Breed of Balochistan

In this study only exonic regions of BMP15 gene were studied which comprises 1185 nucleotide base pairs. Sequencing data analysis revealed that in Lehri goat there were two polymorphism at nucleotide positions number 200 and 901 observed as C>T and G>A respectively. A heterozygosity was also observed with triplets birth history at nucleotide positions 656 where sequences presenting both peaks of G and A at the same nucleotide position. DNA Sequencing analysis of BMP15 gene revealed two polymorphisms including changes of Serine (TCA) into Lucerine (TTA) codon 67 and Glysine (GGC) into Serine (AGC) at codon 301. Heterozygosity also observed changing Glutamatic acid (GAG) into Glysine (GGG) at codon 394. All changed amino acids are non-synonymous.
AN APPROACH TO STORE SPATIAL BIG-DATA USING MULTI-VALUED DATABASE

Spatial data has come to play an increasingly prominent role. Structured and unstructured data collected from diverse sources and used as an ensemble to derive information is referred to as Big Data. The size, variety, and update rate of mobility datasets exceed the capacity of commonly used spatial computing and spatial database technologies to learn, manage, and process the data with reasonable effort. Such data is known as Spatial Big Data (SBD). SBD has transformative potential. We formally define spatial big data preference queries and nested integrated inverted indexing technique (nI 3 ). S2I index are an extension of the R-tree for efficient spatial search. As the data representing in the R-Tree, IR-Tree, S2I index, Integrated Inverted Index (I 3 ) are in relation database (1 st Normal Form), where this can occupy more storage space. To give an efficient reduction of storage space, we proposed nested relational database on integrated inverted index (nI 3 ) to reduce the space complication and elimination of redundancy.
LEARNING AND UNDERSTANDING THE PERFORMANCE OF THE SYSTEM: A STUDY ON DOWNLOAD TIME PERFORMANCE OF UNIVERSITY WEBSITES IN INDIA

In Today’s contest the World Wide Web (WWW) is an important and popular information repository for any type of application. It provides convenient access to almost all kinds of information – from education to entertainment. One can easily understand the behavior of the complex system with a case study. The technique of case study develops skills and knowledge in upcoming students with well illustrated examples. In the present paper a student can easily understand the performance of the website based on the download time of university website. The study demonstrates the various aspects of the website that influences the website. A student can better understand the performance of the system (website) by practical examples rather than theoretical concepts. Keywords—Website Analysis, Download Time Performance, Web Page Analyzer, GTMetrix Tool --------------------------------------------------------------------***----------------------------------------------------------------
Segmentation of Singing Voice and Musical Accompaniment in Audio Mixture Signal

—we propose a system to separates singing voice from music accompaniment for monaural recordings to improve the performance of singer identiﬁcation. Our system consists of two stages. The ﬁrst stage implements the non-negative matrix partial co-factorization (NMPCF), to separate the mixture signal into singing voice portion and accompaniment portion. The second stage is based on the separated singing voice obtained by the ﬁrst stage, pitches of singing voice are ﬁrst estimated and then the harmonic components of singing voice can be distinguished. Spectrum of separated singing voice may contain extraneous frequency components Missing Feature Method can used to refine the separated signal of singing voice. This refined signal then proceeded for the stage of singer identification. The system will analyze the performance of singer identification based on song with accompaniment and pure singing voice.
Approximation of encircled energy function in the Fraunhofer zone under the diffraction of plane light wave on plane apertures of complicated shapes

A method for the approximation of encircled energy in a definite solid angle in the Fraunhofer zone by the simulation of optical transfer function derivative is proposed. The selection of free model parameters allow one to obtain true expansion of encircled energy in the origin of the angle coordinate and at infinity, and good approximation in intermediate domain.
A CASE STUDY ON ATTACK MODELS AND PRIVACY MODELS IN MINING MEDICAL DATASETS

Collection of enormous amount of data from various organizations, companies, hospitals, banks etc. has led us to uncover useful patterns for decision making. However, preserving privacy while performing data mining is the important consideration to be made. To perform data mining and at the same time preserve privacy is the key research challenge. Rather than simply following policies or guidelines, tools and methods are employed for releasing the data while preserving privacy. In this survey, various attack models and their privacy models for data mining are discussed.
Hybrid Asymmetric Space Vector Modulation for inverter based direct torque control induction motor drive

This paper proposes novel hybrid asymmetric space vector modulation technique for inverter operated direct torque control induction motor drive. The hybridization process is performed by the combination of continuous asymmetric space vector modulation pulse width technique (ASVPWM) and fuzzy operated discontinuous ASVPWM technique. Combination process is based on pulse mismatching technique. Pulse mismatching technique helps to reduce the active region of the switch. Finally, optimal pulses are applied to control the inverter. The optimal hybrid pulse condense switching losses of the inverter and also improves the operating performance of the direct torque control (DTC) based drive system like smooth dynamic response in speed reversal, minimum torque error, settling time of speed. Simulation results of proposed hybrid asymmetric space vector pulse width modulation technique to direct torque control (HASVPWM-DTC) approach has been carried out by using MatlabSimulink environment. svijayansurya@gmail.com KeywordHASVPWM, DTC, Fuzzy Logic.
A Survey on Algorithms for Sequential Pattern Mining

- Sequential pattern mining is a very useful mining technique for various sectors like healthcare, retail business, DNA analysis etc. It generates patterns which are frequently occurring in given sequence of transactions. It uses sequence database having sequence of transactions with transaction time. In sequence database every transaction is having various items. By sequential pattern mining user wants frequent patterns which are generating according to given constraint. GSP, SPADE, SPAM and Prefix span are few efficient sequential pattern mining algorithms. In this survey various algorithms(GSP,SPADE,SPIRIT,SPAM,CLO-SPAM,CMDS,FREESPAN,WAP-MINE & PREFIX SPAN) are studied for sequential pattern mining. This survey found pros and cons for each algorithm in various scenario and other factors.
DESIGN OF WI-FI INTEGRATED SOPHISTICATED METER USING EMBEDDED SYSTEM

: Focusing on a recent real time issue Electricity Hacking and malactivities in bill processing, a prototype Impregnable Device for secured metering (IDSM) is designed which consists of a sophisticated meter(SM) differing from other meters in security with a legacy Wi-Fi system for communication, a microcontroller, a centralized monitoring and control unit implemented cost effectively and a C Database Management System for data backing. In order to provide security at a higher level various cryptography techniques are to be analyzed and the most secure cryptography Random number Address Cryptography (RAC) is chosen. For wireless communication to be more efficient Radio Frequency (RF) is used designing a wide range to cover longer distances. The SM present in each house is connected by wireless network which periodically gets updates from the server. The server using a backend database calculates the amount to be paid according to the number of units consumed and sends it back to the meter for display at home along with the required information which reduces manpower along with the grievances. Our prototype focuses on security, communication at a higher speed with an advanced metering and a unique database for backend system.
AN ENHANCED TBAHIBE-LBKQS TECHNIQUES FOR PRIVACY PRESERVATION IN CLOUD

— In recent days, providing security to the data stored in cloud is an important and challenging task. For this purpose, several existing privacy preservation and encryption algorithms are proposed in the existing works. But, it has some drawbacks such as, high cost, required more amount of time for execution and low level security. In order to overcome all these drawbacks, this paper proposes a novel techniques such as, Tiered Blind and Anonymous Hierarchical Identity Based Encryption (TBAHIBE) and Location Based Keyword Query Search (LBKQS) for providing privacy preservation to the data stored in cloud environment. In this work, the privacy is provided to the medical data stored in the Electronic Health Record (EHR). It includes two modules such as, secure data storage and location based keyword query search. In the first module, the medical data of the egg and sperm donor, receptor, doctor and lab technician are stored in the encrypted format by using the proposed TBAHIBE technique. Here, the authenticated persons can view the medical data, for instance, the doctor can view the donor and receptor medical details. In the second module, the location based search is enabled based on the keyword and query. Here, the doctor, patient and other users can fetch the medical details in a filtered format. The main advantage of this paper is, it provides high privacy to the medical data in a secured way. The experimental results evaluate the performance of the proposed system in terms of computation cost, communication cost, query evaluation, encryption time, decryption time and key generation time.
An Improved Approach for Semantics Based Filtering and Selection of Services Using Bipartite Matching

In today’s world, a vast number of web services are available, providing a variety of services. As a result service discovery becomes an important task. Large number of services made discovery of web services is a critical one and also discovery process has the scalability issues when the number of services increases. In this work, we address the issue of scalability in web service discovery process by adding a preprocessing stage. Our approach to preprocessing stage involves filtering the services by checking the details of descriptions; semanticbased web service discovery involves Bipartite Matching and semantic enhancement of the service request. Our approach proposes a preprocessing stage based on the details of descriptions that filter service repositories with enhanced service request. We propose a solution for achieving functional level Bipartite Matching based on an Ontology framework. The semantic enhancement of the service request achieves a better matching with relevant services. The service request enhancement involves expansion of additional terms (retrieved from WordNet) that are deemed relevant for the requested functionality. An efficient matching of the enhanced service request with the filtered services is achieved utilizing Bipartite Matching. Our Experimental results validate the effectiveness and feasibility of the proposed work.
Dynamic Response of High-Pressure Riser of Deepwater Surface Blowout Preventer System

The application of surface blowout preventer (SBOP) drilling system in deepwater environments has been demonstrated that it can save operation cost and time. The high pressure small diameter casing plays the role of the conventional riser and bears the complex loading caused by the wave and current force and drilling platform motion. The coupled quasi-static and uncoupled dynamic analysis models of deepwater SBOP drilling system were established. The analysis results indicate that the uncoupled method without consider the lateral offset on the end of the high pressure riser nearly no affection to the riser analysis. However, the uncoupled method has a certain impact on the mechanical analysis of the subsea wellhead and the casing string under mudline. The lateral offset of the high pressure riser changes greatly in the different times, the bending moment of the upper and lower stress joint of riser is bigger. The platform long-term drift has a greater impact on the dynamic response analysis of the high pressure riser of SBOP system for deepwater drilling.
Prognostic Role of Resting Heart Rate in Cardiovascular Diseases: Just a Risk Marker?

Blood pressure is usually determined during physical examination and Heart Rate (HR) can be also easily obtained. HR must be measured by pulse palpation during two 30 second periods, performed in a sitting position after 5 minutes sitting in a quiet room [1]. HR has a clear circadian rhythm, with higher rates during waking hours, and it is known to decrease with age and to be higher in women compared with men [2]. Care must be taken not only to high blood pressure values but also to elevated resting HR. The knowledge about the pivotal role of resting HR in cardiovascular diseases has grown for the last years. This has led to several publications reporting the prognostic risk factor of HR in different cardiovascular areas. The aim of this article is to review the evidence showing the influence of resting HR in different cardiovascular disorders and its pathophysiological mechanism.
STUDY OF ANTIDIARRHOEAL ACTIVITY OF TWO MEDICINAL PLANTS OF BANGLADESH IN CASTOR-OIL INDUCED DIARRHOEA

Kaempferia galanga (Family: Zingiberaceae) has immense importance in traditional health care system as a carminative, cholera, antiinflammatory, abdominal pain, dyspepsia and stomachic as well as in the diseases of coughs, pectoral affections and stoppage of the nasal blocks. Grewia paniculata (Family: Malvaceae) has been used in traditional medicine for treatment of indigestion, eczema, itch, small-pox, typhoid fever, dysentery and syphilitic ulceration of the mouth. Leaves of this plant used along with turmeric and shell of snail for the treatment of jaundice. This study was aimed to investigate the antidiarrhoeal activity of the acetonic extract of Kaempferia galanga and ethanolic extract of Grewia paniculata. The acetone extract of rhizome (ACR), as well acetone extract of leaf (ACL), ethanol extract of bark (EEB) and ethanol extract of leaf (EEL) were subjected to antidiarrhoeal activity test. The antidiarrhoeal activity was performed by castor oil-induced diarrhoea in mice. In this study, both plant extracts exhibited significant inhibition (p < 0.05-0.001) and a dose dependent decrease in the total number of faecal dropping in castor oil induced diarrhoea in mice. Maximum 80.00% and 77.36% inhibition of defecation were observed with ACL (200 mg/kg) and EEL (500 mg/kg) where the standard drug Loperamide (3mg/kg) showed 54.64% inhibition of defecation. The results suggest that both the plant extracts possess pronounced antidirrhoeal activity. This study validates the use of these plants in traditional medicine. INTRODUCTION: Diarrhoea is the passage of stools more than three times in an hour period. It occurs due to an imbalance in the absorption and secretory mechanisms in the intestinal mucosa, which results in an increase in fluid and electrolyte loss into the gut lumen, leading to the production of unformed liquid faeces. QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.5(9). 3864-68 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.5(9). 3864-68 However, malnourished individual’s diarrhoea can lead to severe dehydration and can become lifethreatening if not treated. Three major diarrhoea syndromes exist: they are acute watery diarrhoea, which results in varying degrees of dehydration; persistent diarrhoea, which lasts 14 days or longer, manifested by malabsorption, nutrient losses, and wasting; and bloody diarrhoea, which is a sign of the intestinal damage caused by an infectious agent, drugs, poisons (including bacterial toxins) or acute inflammatory reactions 1 . All three are physiologically different and require specific management. Diarrhoea is one of the leading
Design Deep Submicron Technology Architecture of High Speed Pseudo n-MOS Level Conversion Flip-Flop

: Power has become primary constraint for both high performance and portable system designing, as a remedy using Dual-supply voltage design and Cluster Voltage Scaling scheme is an effective to reduce power consumption. In this thesis, simulated different Deep Submicron Technologies with multiple scaling methods to identify the effects on power dissipation and propagation delay of the CMOS circuit and achieved make trade of between Power Delay Product (PDP) with 180nm, 130nm, 90nm and 65nm technologies by implementing a design of Clock Sharing Pseudo n-MOS Level Conversion Flip-Flop (LCFF) which combines Pseudo n-MOS, Conditional Discharge and clocked switching concept with low power dissipation and delay overhead using pseudo n-MOS techniques. By using 65nm deep submicron technology, PDP enhanced by approximately 50% as observed from simulation results.