Miracle-dz/UniFAR-FTUs huggingface dataset:
A Hybrid Multibiometric Approach for Fusion of Iris and Face

: In this paper, a hybrid approach for fusion of iris and face is presented using multi-instance and multi-modal sources of biometric information. Fusion is performed at feature level as well as match score level. It provides security at two steps. At first step, multiple instances of iris (left iris and right iris) are combined at feature level to generate a single merged feature set of iris. Instead of storing actual features in database, this resultant feature set obtained after fusion of left iris and right iris is stored as a template in the database. Thus, iris template becomes more secure and rich in information. At second step, match scores of merged iris and face are combined at match score level to generate the final decision whether the person is accepted or rejected. The proposed fusion strategy is blend of two fusion approaches (multi-instance and multi-modal) making it capable to overcome the drawbacks of unimodal biometric systems. Experimental results show that hybrid multibiometric system outperforms unimodal biometric systems.
FEA & OPTIMISATION OF STEERING KNUCKLE OF ATV

Steering Knuckle is a non-standard component linking the suspension, steering & braking systems and the wheel hub to the chassis of a vehicle. This study aims to redesign the steering knuckle in order to reduce the unsprung weight of a single seat All Terrain Vehicle (ATV) while retaining a satisfactory safety factor for better performance of the vehicle. A two step process has been used for the same. First step is modeling the knuckle as per the structural considerations and design constraints set by suspension, steering and brake assemblies & determination of loads acting on the knuckle. The second step is stress analysis using finite element software and design adjustments for reducing weight without compromising on the structural strength. According to the analysis results, material can be added to parts that are subjected to higher stress than the safety factor permits. Material can also be removed from low stress areas, thus, helping to reduce the component weight. Keywords—Steering Knuckle; ATV; Finite Element Analysis (FEA); Weight Reduction; Optimisation.
Eigenvalue Analysis of Subsynchronous Resonance Study in Series Compensated Wind Farm

This paper presents an eigenvalue analysis for detecting the potential of subsynchronous resonance (SSR) in single-cage induction generator based wind farm. Fixed speed single-cage induction generator based wind farms are considered for study of SSR. The wind farm is connected to the modified IEEE first bench mark system. Detailed model of the study systems are developed and eigenvalue analysis is carried out. It is found that the single-cage induction generator based wind farms are susceptible to SSR when they are connected to IEEE first bench mark system. In this case SSR is occurs at realistic levels of series compensation employed for single-cage induction generator based wind farm. The eigenvalue analysis results are validated using PSCAD/EMTDC software. Hence, eigenvalue analysis can be successfully utilized for investigation of SSR in wind farm connected to series compensated transmission line. KeywordsEigenvalue analysis, subsynchronous resonance (SSR), series compensation, PSCAD/EMTDC. I. NOMENCLATURE tg Tortional angle between the wind turbine and generator. t ,g Angular speed of the wind turbine and the generator rotor respectively. Ht , Hg Inertia constant of the wind turbine and the generator rotor respectively. Ktg Shaft stiffness between wind turbine and the generator. Dtg Damping coefficient between wind turbine and the generator. Tw , Tg Mechanical torque input to turbine and Electromagnetic torque output of generator respectively. Rs ,Rr Stator winding resistance and rotor cage resistance respectively. Ls ,Lr Stator winding unsaturated leakage inductance and rotor cage unsaturated leakage inductance respectively. Lm Unsaturated magnetizing inductance. s Synchronous frequency (rad/sec). Ids,Iqs d-q axis stator current of induction generator . Vds,Vqs d-q axis voltage at induction generator terminals. Idr,Iqr d-q axis rotor current of induction generator . Xs , Xr Stator and rotor leakage reactance respectively. Xm Mutual reactance between stator and rotor winding. Id,Iq d-q axis current of series compensated transmission line . R Transmission line resistance L Transmission line inductance including transformer and infinite grid inductance. C Series capacitance Vcd,Vcq d-q axis voltage across series capacitor. Vbd,Vbq d-q axis voltage at infinite bus. K Series compensation level (%) International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 02, Issue 02, [February 2015] e-ISSN: 2349-9745, p-ISSN: 2393-8161 @IJMTER-2014, All rights Reserved 268 I
Association Rule Mining : Algorithms Used

: Data mining has attracted a great deal of attention in the information industry and in society as a whole in recent years, due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. The information and knowledge gained can be used for applications ranging from market analysis, fraud detection, and customer retention, to production control and science exploration. Data mining as a synonym for another popularly used term, Knowledge Discovery from Data, or KDD. Mining Associations is one of the techniques involved in the process mentioned in chapter 1 and among the data mining problems it might be the most studied ones. Discovering association rules is at the heart of data mining. Mining for association rules between items in large database of sales transactions has been recognized as an important area of database research.
Data Leaker Detection Using Data Lineage Method

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Data leakage is not a new topic as it has its roots in before modern IT technologies but with emerging new technologies creates new ways for data leaking such Instant Messaging, VoIP, Social networks like Twitter, Facebook and etc. There has been an issue of sending any third party or someone else a private data. One may never know when it could be leaked without the permission of the owner and be misused. It could be personal photos, documents and many other sensitive data. Thus if data are leaked, our proposed system will try to find which organization have leaked it. An enhanced data lineage method is proposed to track down by whom and to whom the data has been passed to, thus enabling to find the leaker. The system uses steganography, encryption and digital signature concept which will help in creating the data lineage to find out the leaker. The key features of this proposed system are access control, notification system and bulk outsourcing system
Effective Bug Triage System

Software bugs are the major areas where most of the IT companies spend its 45% of efforts. The most efficient way of reducing bugs in the software is bug triage, which is appropriately assigning the new but to a developer. Automatic Bug triage is conducted by using text classification methods to minimize the manual work. In this paper, the problem of huge data for bug triage is addressed i.e. reducing the amount of data in assigning the bugs to developers. This technique combines feature selection and instance selection for simultaneously minimizing the bug dimension and word dimension. To identify the application order of instance selection and then feature selection, extraction of various attributes from previous bug track record is carried out to build new bug track or dataset. The proposed system tests its performance on the sample dataset of the open source software i.e. Eclipse. The proposed system works on novel data processing techniques to generate small amount of but highly informative bug report data in software maintenance and development
A Decade of Social Fertility Preservation

The global phenomenon of deferment of conception is due to a variety of reasons including increased opportunities for women in education and careers, high divorce rate and economic instability [1]. With this growing tendency toward delayed reproduction, there is an increase in the age of the sub fertile community and a growing demand for Assisted Reproductive Techniques (ART) [2] by women who falsely assume that it can restore their fertility at any age. Subsequently more women in their late thirties and older are requiring fertility services [3], increasing the treatment demands worldwide. For instance in the USA in the year 2011, women 35-40 years of age represented 41.2% of the total IVF cycles volume, where as those older than 40 years represented 14.5% suggesting that most of the treated population in the United States were women older than 35 years of age [4].
Reconfigurable controller design for continuous stirred tank reactor

In this paper, an optimized Eigenstructure Assignment based reconfigurable Linear Quadratic Regulator (LQR) controller is designed for linear discrete Continuous Stirred Tank Reactor (CSTR). The servo operation is achieved by augmenting the linear discrete state and Proportional-Integral (PI) control action is incorporated in the design. LQR parameters are optimized using Particle Swarm Optimization (PSO) and Parallel implementation of Genetic Algorithm (PIGA). The closed-loop performance of the normal (Fault-free) system obtained using PSO and PI-GA are compared. Then, the best optimized technique is used to reconfigure the controller parameters against partial actuator failure in the process. Key Words-Eigenstructure Assignment, Reconfigurable controller, LQR, PSO, PI-GA, PI, CSTR.
Using Social Cognitive Theory in Predicting Meal Frequency in Overweight and Obese Iranian Adolescents

Prevalence of overweight and obesity among children and adolescents has increased to a considering level in both developing and industrial countries. Social cognitive theory (SCT) is one of the most popular theories used to predict and combat adolescent obesity. Thus, the aim of this study was to use SCT to predict nutritional behaviors in adolescent girls in Iran. In this cross sectional study, valid and reliable questionnaires about nutritional regarding SCT constructs (Selfefficacy, Social support, Outcome expectations and Outcome expectancies) and meal frequency were filled by 172 overweight and obese girl adolescents.The mean of age and BMI were 13.4±0.6 and 28.2±3.6, respectively. BMI was inversely related to eating breakfast, morning and afternoon snacks (p<0.001). Nutritional self-efficacy and social support were significant predictors for eating breakfast, morning and evening snacks (p<0.001). Furthermore, outcome expectation was a significant predictor for eating breakfast and afternoon snack (p<0.05). Social cognitive theory offers a useful framework for designing primary prevention interventions to reduce skipping breakfast among obese adolescents. Most of SCT constructs were found to be important for eating breakfast. In future, more studies must be carried out in order to better explain predicting prevention behaviors of obesity in Iranian adolescents.
An Overview of Uninterruptible Power Supply System with Total Harmonic Analysis & Mitigation: An Experimental Investigation for Renewable Energy Applications

Increasing gap between power supply and demand causes electricity crisis and excessive load shedding in any developing countries like Pakistan; as well as the power failure due to numerous reasons. Therefore, in such circumstances a short-term and best solution for users in terms of instant and back up supply can be through Uninterruptible Power Supply (UPS); it could be more effective and efficient with hybrid storage source and active power filter. Moreover, the growing trend in U.P.S industry has been observed because it delivers a continuous and clean power supply to critical and sensitive loads without delay or transients; it also offers instant protection when utility power is not available. However, in this manuscript authors discussed brief look regarding UPS types, control techniques and reliability; and also investigate the optimal power transfer for sustainable power source including minimizes the total harmonic distortion (THD) from 46 % to 1.46 % with proposed active power filter (APF), in order to save more than 15 % energy during conversion.
Stakeholder Self awareness and Willpower: Exploring Spirituality in the Workplace

In an uncertain environment, the business community is challenged with diverse requirements pressing it to cope with change and ambiguity. The current paper suggests a novel framework based on spirituality and religiosity to support its primary stakeholders-business practitioners, academicians and students alike. The framework lays special emphasis on the outcomes of self-awareness and willpower, often regarded as soft, but crucial skills in enabling business performance. Further development of the model and propositions are suggested as well.
Expert System Development for the Prevention of Hoof Pathologies Applied to the Intensive Swine Production

Claw lameness can be associated with biomechanical factors caused by imbalances of the pressure distribution under the hooves when swine are confined in modern facilities with hard concrete flooring. Comparing hoof pressure distribution data of swine boars walking over two different types of floors (standard concrete vs. 3mm rubber mattress) in previous research, it was found a great advantage favoring the rubber mat flooring showing that it was capable of reducing pressures under the claws as the pressure became more evenly distributed under this treatment resulting in balanced weight-bearing surfaces. The objective of this study was to develop an expert system based on Fuzzy logic algorithm for the prevention of hoof pathologies applied to the intensive swine production by estimating occurrence of claw lesions based on the association of knowledge gathered on pressure distribution from previous research as well as the influences of nutrition, friction coefficients found on different types of available flooring, hoof sizes and animal weight on the welfare of the swine’s locomotory system. The data were correlated initially using Matlab® platform associating expert’s knowledge and literature through a knowledge system that weights the variables according to their impact on claw health. The final user interface was coded using Microsoft Visual Studio Rapid Application Development tool and the resulting system was validated in several different laboratory scenarios and its performance was considered to be satisfactory according to findings in the literature. The expert system was coded and the authors concluded that the system could be a great contribution and advance in the swine’s industry, nonetheless, its performance still requires field testing for fine adjustments which should be encouraged to be carried out in further researches.
Improved Targeting and Enhanced Retention of the Human, Autologous, Induced, Pluripotent Stem Cells to the Sarcomeres of the Infarcted Myocardium with the Aid of the Bioengineered, Heterospecific, Tetravalent Antibodies

To resolve the aforementioned problem, we genetically and molecularly bioengineered heterospecific, tetravalent antibodies (htAbs), which have both exquisite specificity and high affinity towards human, pluripotent, stem cells through the htAbs’ domains binding SSEA-4, SSEA-3, TRA-1-60, and TRA-1-81, as well as towards the injured cardiac muscle through the htAbs’ domains binding human cardiac myosin, α-actinin, actin, and titin. The cardiac tissue was acquired from the patients, who were receiving heart transplants. The autologous, human, induced, pluripotent stem cells (hiPSCs) were generated from the patients’ fibroblasts by non-viral delivery and transient expression of the DNA constructs for: Oct4, Nanog, Sox2, Lin28, Klf4, c-Myc. In the trials involving the htAbs, the human, induced, pluripotent stem cells anchored to the myocardial sarcomeres with the efficiency, statistically, significantly higher, than in the trials with non-specific or without antibodies (p < 0.0003). Moreover, application of the htAbs resulted in cross-linking of the sarcomeric proteins to create the stable scaffolds for anchoring of the stem cells. Thereafter, these human, induced pluripotent stem cells differentiated into cardiomyocytes at their anchorage sites.
Ketorolac Tromethamine Loaded Liposomes of Long Alkyl Chain Lipids: Development, Characterization and In Vitro Performance

Ketorolac is a nonsteroidal anti inflammatory drug with high plasma protein binding. We describe here the encapsulation of ketorolac in liposomes composed of DPPC or DSPC and with optimum amount of cholesterol. FTIR study was used to determine the molecular interaction between drug, lipid and cholesterol. All the batches of liposomes were characterized for their vesicle size profile, drug encapsulation and drug release. Three month stability studies conducted on liposomal dispersion and lyophilized form of liposomes showed that later is more stable for more than two months. SEM analysis confirmed that liposomal samples were spherical shaped and showed concentric lamellae. Release profile showed that it follows zero order kinetics and mechanism of drug release is of diffusion. Thus, new, reproducible liposomes of ketorolac with good stability and appreciable controlled drug release with good retention of the drug for more than a day were prepared successfully.
On the Stability of a Certain Class of Linear Time-Varying Systems

This study firstly considers the exponential stabi lity of unforced linear systems of slowly time-varying dynamics. Possible switchings of the s ystem structure to unstable dynamics during certain finite time intervals are admitted. The maintenance of global exponential stability does not necessari ly require at most a finite number of switchings in th e dynamics while infinitely many switches can also lead to stability. The mechanism to achieve stabili ty under infinitely many switches in the dynamics i s to maintain the system in the stable region during t me intervals of sufficient large length without switches provided that the system dynamics evolves at a sufficiently small rate with time. Special attention is paid to the robust tolerance for a cla ss of state disturbances and to the case of time-va rying matrix of dynamics that possess either piecewise co nstant or constant eigenvalues. The obtained result s can be relevant for their use in stability issues f or the cases of multimodel nonadaptive and adapti ve control with improved transient performances.
NFC BASED PUBLIC HEALTHCARE MONITORING SYSTEM

- This paper proposes a “NFC BASED PUBLIC HEALTHCARE MONITORING SYSTEM”, a three way system between the patient; hospitals and the doctors A patient terminal concept is created based on smart cards/phones on NFC (Near Field Communication) technology for patient identification and uploading bio-history and implemented to establish a versatile and easy to use link between patients suffering from diseases and their attending physicians. According to a United Nations report, 75% of the health infrastructure in India – including doctors, and other health resources present in the metropolitan part of the cities is inaccessible to around 716 million people. Thus to meet these requirements a patient terminal concept based on interfacing between the Intel Galileo board and medical sensor devices is developed and the data is acquired using the e-health sensor platform. It is further linked to a GPRS based tele -monitoring system. NI LabVIEW is the software chosen to carry out the analysis of the medical data. It is used to create the interface is designed to display various health parameters on the computer Results from medium-scale pilot projects indicate that NFC is an enabling technology and has the potential to reduce the complexity of tele-monitoring applications to a minimum but keeps security on a high level. It helps to deliver intuitive, secure and reliable solutions to people with chronic diseases, even to elderly and technically unskilled ones.
Enhance Load Rebalance Algorithm for Distributed File Systems in Clouds

 Abstract— This paper examines the load rebalancing problem in cloud computing. The main objective of the paper is to Enhance distributed load rebalancing algorithm to cope with the load imbalance factor, movement cost, and algorithmic overhead. The load rebalance algorithm is compared against a centralized approach in a production system and the performance of the proposal implemented in the Hadoop distributed file system for cloud computing applications. We investigate to implement security provided for cloud computing and Evaluate the Quality of Service-QOS (Ex. Response Time) of whole system. In cloud computing one server controls number of sub servers, files, it can add, delete, and append dynamically. Any file sharing (uploading or downloading) are stored in sub servers and retrieved from sub servers. Before uploading and downloading that files are stored in encrypted format and retrieve in a decrypted format. In our implementation the key is sent to the user’s email id, user uses that key to view and download the files from sub server. For encryption and decryption schemes we are using RSA algorithm.
AUTOMATED ANSWER EVALUATION BASED ON SEMANTIC ANALYSIS

This paper presents a novel approach to the problem of automated answer evaluation. Although answer often make use of synonymous or near synonymous terms or semantic similarity, many previous approaches have either ignored or made limited use of information about similarities between word meanings. We present an algorithm for answer evaluation which makes extensive use of those factors such as semantic based sentence similarity that derived from dependency parser and wordnet. The approach is evaluated using the standard datasets Microsoft Research Paraphrase Corpus (Dolan et al., 2004), a standard resource for this task, and found to outperform previously published methods.
Enhancing Performance and Fault Tolerance of Hadoop cluster

- New approach to make a system more fault tolerant is to expect failures rather than trying to avoid it. Here, by fault tolerance, we do not mean that there will be no or less failure in the system, instead, it means how the system deals with the failure when it occurs. In hadoop clusters, faults are handled by applying various measures like many copies of data blocks are maintained over several HDFS nodes, re-execution of map and reduce tasks is scheduled if it fails during execution. This re-processing of jobs can, however, decrease the efficiency of job execution. To this end, we are proposing a method to identify faulty nodes of the cluster and remove them to increase the job execution efficiency of the cluster. Our experiment shows that overall efficiency of cluster is improved by our method.
Lane Detection Techniques - A Review

Lane coloration has become popular in real time vehicular ad-hoc networks (VANETs). The main emphasis of this paper is to find the further ways which can be used further to improve the result of lane detection algorithms. Noise, visibility etc. can reduce the performance or the existing lane detection algorithms. The methods developed so far are working efficiently and giving good results in case when noise is not present in the images. But problem is that they fail or not give efficient results when there is any kind of noise or fog in the road images. The noise can be anything like dust, shadows, puddles, oil stains, tire skid marks, etc. So the overall goal of this paper is to evaluate the gaps in existing literature and suitable solution for the same.