Miracle-dz/UniFAR-FTUs huggingface dataset:
Validate Group Keys for SRTP: Combining Kerberos and Multimedia Internet Keying (MIKEY)

: Authenticated transport of cryptographic keys for secure group-communication between Distributed system to avoid the security vulnerability and to find the authorized user to increase the availability for that implement the design called Multimedia Internet Keying (MIKEY) is a by RFC -3830 standardized key exchange protocol and Kerberos for authentication. They have multiple options for key exchange and low latency from MIKEY is mainly used for real-time multimedia application in conjunction with SRTP used and typically uses the three key exchange methods. Then employ protocol composition logic (PCL), a state-of-the-art approach for analyzing our design. The Group Key will be generated for a certain type of the group people and using that key that person can access that group information. The group key is used to add the person in the group to do transaction by using Public/Private key options for providing access to each message and it also avoids the unauthorized person to interrupt. We have implemented both designs starting with the publicly available reference achievement of Kerberos, and an open-source completion of MIKEY.
Fingerprint Matching Using Minutiae Points

: This is a crucial stage as one needs to extract the right features in optimal way. Image or vector of the numbers with specific properties is used for creating template. Fingerprints are rich in details called minutiae, which can be used as identification marks for fingerprint verification. The goal of this thesis is to develop a complete system for fingerprint verification through extracting and matching minutiae. To achieve good minutiae extraction in fingerprints with varying quality, pre-processing in form of image enhancement and binarization is first applied on fingerprints before they are evaluated. Many methods have been combined to build a minutia extractor and a minutia matcher. Minutia-marking with false minutiae removal methods are used in the work. An algorithm has been developed for minutia matching. This algorithm is capable of finding the correspondences between input minutia pattern and the stored template minutia pattern without resorting to exhaustive search. Performance of the developed system is then evaluated on a database with fingerprints from different people.
Enhanced Anomaly Detection IDS-Based Scheme for Dynamic MANET on-Demand (DYMO) Routing Protocol for MANETS

— Mobile Ad hoc network (MANET) is a kind of wireless network which has no infrastructure. Security is an essential requirement in mobile ad hoc network to provide protected communication between mobile nodes. Due to unique characteristic of MANETs, it creates a number of consequential challenges to its security design. In this paper, we propose a new anomaly-detection scheme for Dynamic MANET On-demand (DYMO) Routing protocol based on dynamic learning process that allows IDS system to monitor the network and updating the training data at particular time interval. In the dynamic environment, a trustable node (IDS system) in the network will do monitor process of each node in the network using dynamic training data. The dynamic learning process involves calculating the projection distances based on multidimensional statistics using weighted coefficients. For maintaining security the data packet are send in the encrypted format using RSA algorithm.
A Study on Recommender Systems Techniques

— Recommender Systems (RS) uses the opinions of a community to help individuals in that community to identify the information or products most likely to be interesting for them. They have become fundamental applications in e-commerce and information filtering, providing suggestions that effectively prune large information spaces so that users are directed towards those products that meet their preferences. By combining ideas from user profiling, information filtering and machine learning, Recommender Systems have proven to be effective at delivering the user proactively information. These RS are basically classified into Content based, Collaborative, and Knowledge based systems based upon their approach to rating estimation. Any of these recommendation techniques can be combined to form Hybrid recommender systems. These traditional RS have been focusing on recommending the most relevant and appropriate items to users. Recommender Systems (RS) are also used to find the opinion of the user regarding various contexts. In this paper we analyze traditional Recommender Systems with merits and limitations.
TouchAnalyzer: A System for Analyzing User's Touch Behavior on a Smartphone

— Many research e ﬀ orts have been made on human context recognition, especially activity recognition using sensors such as accelerometers embedded in smartphones. However, few studies are conducted for recognizing human context while operating smartphones (smartphone operating context or so-context in short). Examples of so-contexts are smoking or eating while operating smartphones and playing a game while in the train. Estimating so-contexts will bring new services such as notification timing optimization and user interface optimization. In this paper, aiming to provide a tool toward so-context estimation, we propose a system that monitors, recognizes and outputs user's touch operations on Android phones. To realize so-context estimation, the system needs to satisfy three requirements: (1) it should work on any android device, (2) it should run in the background of any application, and (3) it should identify touch operations in high-level format and output the identified operations with the detailed information like finger position and movement for so-context recognition. For the above requirements, we developed our proposed system as an Android application which analyzes raw data output by the OS including a time series of points on the screen, and recognizes 7 representative high-level touch operations such as swipe and rotate with information on the number of fingers used, the pressure level and the track between the start-point and the end-point. We evaluated our system and confirmed that it achieved recognition accuracies of 100% for single-or double-finger swipe and single-finger touch operations (swipe), and 98% for two-finger touch operations (pinch, rotate, etc.). Moreover, to show the applicability of our system, we tried to recognize the phone holding style as a so-context from touch operations. As a result, we confirmed that it achieved F-measure of 96.5% for classification among 8 di ﬀ erent holding styles.
Comparision of Levels of Anxiety Among Health Sciences Students

Medical and pharmacy students’ endeavor to become medical doctors and pharmacists respectively undergoes a lot of challenges and hardship. There are some frustrations, fear, stress, among others, which they used to suffer before they graduate. Whose anxiety level is higher among these two sets of students? This study compared the test anxiety state among year one medical and pharmacy students. Sample of 260 students were selected through simple random sampling technique from the Near East University, Turkish Republic of Northern Cyprus, who are in 2015/2016 academic year.Correlation and regression were used to test the association between the variables and to fit the best model. Mann Whitney U non-parametric test was used to compare the anxiety level between the students since some of the assumptions of using the parametric test areviolated. The result shows a statistically significant difference between the anxiety level in medical students and that of pharmacy students, and the descriptive statisticsshows that the median anxiety score of medical students is higher than the median anxiety score of pharmacy students.
VULNERABILITY OF RURAL LIVELIHOODS TO THE EFFECTS OF MINING: A CASE STUDY OF AMANSIE WEST DISTRICT OF GHANA

The historical importance of mining in the economic development of Ghana is considerable and well documented with the country being the second most important producer of gold. The study determines the effect of mining on rural livelihoods by considering impact of gold mining on rural households. The study employed both quantitative and qualitative methods to analyse the extent of threat posed by mining and its activities on assets and rural livelihoods. The Livelihood Vulnerability Index results show that social, physical and human capital were vulnerable to the impact of mining whilst natural and financial capital were found to be moderately vulnerable as compared to that of non-mining communities. This means that livelihood resources were exposed to the detrimental impact of mining and its activities, hence making it difficult for livelihood outcomes to be achieved by rural households. Also the propensity score matching results obtained showed that households in mining communities had a better well-being than those of non-mining communities due to the higher cost of living in mining communities. The study therefore recommends that government policies with respect to mining should be directed towards the preservation of the endowed livelihood resources in order to achieve sustainable © Danquah, Fialor & Aidoo Licensed under Creative Common Page 30 livelihoods. Also activities of miners should be well regulated to avoid the destruction of livelihood resources by strengthening regulatory institutions.
MOLECULAR SURVEILLANCE OF GIARDIA INTESTINALIS WITH OTHER CO- INFECTING ENTERIC PARASITES IN BARAK VALLEY, ASSAM

This study aims to find out the occurrences of different gastro intestinal parasites mainly Giardia intestinalis and its co-infection with other parasites like Cryptosporidium sp, Entamoeba histolytica and Blastocystis spp. in stool samples (n= 598) through microscopic analysis followed by PCR based method in a cross sectional study carried out in the Barak valley zone of Southern Assam. Of the various demographic features, prevalence was highest in the 512 years age group (P= 0·0001). Our study further highlighted the rate of infection is relatively higher in case of female (P=0.3139) than that of male. In addition this study also indicated that most of the carrier of this parasite Giardia intestinalis does not have any diarrheal symptoms (P= 0.0095). As this study is mainly focused on the surveillance of Giardia intestinalis, during the investigation the occurrence of other gastro intestinal parasite was also observed but their role as a co infecting parasite is yet not clear.
A Product Recommendation System for Users Based on User Interest and User Social Context

 Abstract —Due to the advent and popularity of the social network, peoples use to share their experiences like product reviews, ratings etc. This leads to use the new factors such as interpersonal influence and interpersonal interest similarity to solve the cold start and data sparsity problems in recommendation systems. Some factors are already used in existing systems but they have not considered fully. In this paper we are considering four social factors such as user personal interest, user interpersonal interest similarity, user social context and interpersonal influence, fused all these factors into unified recommendation model based on probabilistic matrix factorization. User personal interest factor is mainly used to recommend to the experienced users, and to solve cold start problem we considered interpersonal influence and user interpersonal interest, and we are considered social context to recommend the location specific products to the users.
Characteristic Analysis of 8kW Class High-Speed Permanent Magnet Synchronous Motor

Background/Objectives: This paper deals with characteristic analysis of High-Speed Permanent Magnet Synchronous Machine (HighSpeed PMSM) for air-blower by using FEM (Finite Element Method) S/W tools and analytical method. Methods/Statistical analysis: The High-Speed PMSM need the protective tube with non-magnetic materials that protect the scattering of permanent magnet, for preventing the damage of the High-Speed PMSM, it is necessary that analyzed about mechanical analysis. Findings: The results of the stress analytical method are compared with the results of FEM analysis that validated the analytical method of stress analysis. Based on the results of the analysis, an analytical model was fabricated. Through the experiments, the presence of rotor breakage was examined and the performance was measured. Improvements/Applications: The analysis methods presented in this paper could be applied to characteristic analysis of the high-speed permanent magnet machine.
MACH: Performance Enhancement in Multi-core Processor using Apriori Algorithm with file Chunking

Multi-core processor is used for parallelism. Parallelism is used to reduce time, increase performance and fast processing. Serial mining can takes more time for mining process. To solve this issue we are proposing a parallel processing in which load balancing is done among processors. In proposed system it implements Apriori algorithm in serial and parallel manner also we show the comparison between serial and parallel mining on the basis of varying support-count and time using parallel programming technique. Garbage collector is used to free the memory space. This paper presents a load balancing technique designed specifically for parallel publications applications running on multicore applications. This architecture provides a hardware parallelism through cores inside the CPU. It increased performance low cost as compare to single core machines attracts HPC high performance computing connectivity
The Geoinformation Support of the Landscapes Spatial Development

Under current conditions the progressively increasing anthropogenic pressure on land resources and significant changes in the structure of land tenure require the creation and immediate implementation of a system for surveillance and inspection the use and condition of lands in order to identify changes on-time, to asses them prevent and eliminate the consequences of negative processes occurring on the land tenure territory. The task of effective use of land is not properly performed due to the lack of reliable information about its condition and use. Such information can be obtained through the creation and operation of the ongoing system of the land condition state monitoring based on geoinformation technologies. This study is directed at determining the influence and correlation of the landscape spatial development with elements of the territory organization using the criterion of agricultural crops productivity with geographic information system (GIS). The necessity of the analysis is connected with the detection of cyclicality, regularity, the influence direction of the territory organization elements on the landscape spatial development, which will make it possible to apply the most cost-effective and environmentally sound ways of using particular areas.
3D RECONSTRUCTION OF BRAIN TUMOR IN MRI IMAGES

A human body consists of a complex 3D structure. Conversion of 3D structures into 2D leads to a loss of information and may result in incorrect disease diagnosis. This issue has grasped the attention of researchers involved in 3D modeling. MRI scans consist of a large number of 2D slices, which makes 3D reconstruction a complex and time-consuming task. We propose an efficient algorithm that uses limited MRI slices to reconstruct a 3D image on the basis of matching criteria, which aids in the selection of most appropriate slices, which therefore significantly reduces computational complexity and increases accuracy. The methodology involves the acquisition of a brain MRI, pre-processing, OTSU’s segmentation for the identification of suspicious areas, and rule-based classification to extract a tumor area. For appropriate slice selection, Rapid Mode image matching is utilized, 3D modeling is performed using a cubic reconstruction scheme.
Web Crawlers for Searching Hidden Pages: A Survey

Many researchers have addressed the need of a dynamic proven model of web crawler that will address the need of several dynamic commerce, research and ecommerce establishments over the web that majorly runs with the help of a search engine. The entire web architecture is changing from a traditional to a semantic. And on the other hand the web crawlers. The web crawler of today is vulnerable to omit several tons of pages without searching and also is incapable of capturing the hidden pages. There are several research problems of information retrieval, far from optimization such as supporting user to analyze the problem to determine information needs. The paper makes an analytical survey of several proven web crawlers capable of searching hidden pages. It also addresses the prospects and constraints of the methods and the ways to further enhance.
An Inventory Model of Deteriorating Items under Inflation and Discount Rate with Power Demand and Time Dependent Holding Cost

ABSTRACT: In this research paper, our objective is to investigate the inventory system for perishable items with power demand pattern where two parameter Weibull distribution and Pareto Type-I distribution for deteriorating rate of deteriorating items with varying holding cost are considered. To make it more suitable to the present environment, the effect of inflation is also considered. The influences of inflation and time value of money on the inventory system are investigated with the help of numerical example.
Bacterial viruses in marine environment and their ecological role and bioprospecting potential: a review

Viruses are the sub-microscopic forms of life, attacking all organisms on the earth. The viruses that specifically affect bacteria are termed as bacterial viruses or bacteriophages or bacteria-eaters (Topley and Wilson, 1929). The bacteriophages were first identified by Frederick Twort (1915) and Felix d Herelle (1917) (Duckworth, 1976). They are unique to have bacterial host-specificity. Viruses of unknown hosts are termed as virus-like particles (VLPs) which are the most abundant constituents of all the aquatic ecosystems including the ocean (Fuhrman, 1999). Since the oceans are the world s largest biosphere, marine viruses are the most abundant biological entities on the planet. The estimated overall abundance of marine viruses in the world s oceans is on the order of 10 (Suttle, 2005; 2007), a value that exceeds by ten times of the abundance of prokaryotes (Suttle, 2005). Marine viruses store 200 million tons (2x10/g) of total carbon equivalent of 75 million blue whales. If all the marine virus particles are placed end to end they will span about 10 million light years (100 times the distance across) our own galaxy (Suttle, 2005). However, marine viruses in general and bacterial viruses in particular have been little studied. Hence, this review describes the current knowledge about the marine bacterial viruses for their ecological significance and ISSN: 2319-7706 Volume 2 Number 7 (2013) pp. 151-163 http://www.ijcmas. com
Modelling and Simulation of Load Balancing in Computer Network

: The overload of the servers and the resulting decrease in the Quality of Service (QoS) and performance becomes more serious as the use of Web services grows. In order to avoid this, service providers use large distributed networks of servers to attend the requests of the increasing number of visits in popular sites. OPNET (Optimum Network Performance) is used to develop a new model suitable for Osun State University, Nigeria. The model was then evaluated to measure the performance of the wireless local area network. The model was used for two types of applications (ftp and http) and found that among a set of other parameters response time and wireless media access delay were highly affected by the number of users per application with and without load balancing. OPNET simulation showed the impact of load balancing on wireless and wire-line network for two different types of applications.
CHARACTERIZATION AND ANALYSIS OF THE TREND OF CLIMATE VARIABLE (TEMPERATURES) FOR THE NORTH EASTERN REGION OF THE INDIA

Article History: Received 14, March, 2015 Received in revised form 23, March, 2015 Accepted 13, April, 2015 Published online 28, April, 2015 Trend analysis of climatic variables has received a great deal of attention from researchers recently. By trend analysis of the climate variables the better prediction of the weather conditions and consequences can be taking place. The main aim of this study was to investigate trends in maximum (Tmax) and minimum (Tmin) air temperatures in the annual and seasonal time-scales for six stations in the hilly region of North East India during 1901-2000. From the results it is clear that the majority of the trends in the annual and seasonal Tmax and Tmin time series showed increasing tendency during the last decades while the increasing trends in the Tmin series were stronger than those in the Tmax series.
EFFECTS OF LOW, MILD AND HIGH LEVEL OF AGGRESSION ON STUDNETS’ ACADEMIC PERFORMANCE

The present study was meant to discover the impacts of various level of aggression on students' academic performance. The target population of the study was involved all Govt. colleges for Women of city Rawalpindi, Pakistan. The study was delimited to students studying in grade12 and their instructors. Sample students were chosen through simple random sampling technique. For data collection, two questionnaires were utilized. Perry Aggression Questionnaire (1992) was used for measuring the distinctive level of aggression, whereas in order to discover the impacts of aggression on understudy's academic performance "Academic Performance Rating Scale" (APRS) for instructors was administered to take educators' responses about students’ performance and academic record was additionally taken out from concerned institutions. Chisquare was applied for data analysis. Result demonstrated negative impact of aggression on students’ academic performance while there is a centrality contrast between the academic performance of the students having low, medium and high state aggression on students.
Performance Evaluation of Sociality Based Routing Protocol using Human Mobility Model in Delay Tolerant Network

— Delay Tolerant Network(DTN) is useful for providing communication, where internet connection does not exist or in an Environment where long delay path and frequent partitions in transmission is there. Mainly DTN was developed for deep space communication or communication between two planet and also for militray applications. A vital challenge for Delay Tolerant Networks is to determine the routes through the network without ever having an end to end path, or knowing which routers will be connected at any given instant of time. The problem has an added for routing is how to find mobility of user, these mobility is exploit by human mobility models like Truncated Levy Walk(TLW) and Self Similar Least Action Walk(SLAW). Routing with Human mobility model is improve the performance of Routing protocol. I concluded by comparison of routing protocol with human mobility models and random mobility models.