Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Statistics Based Framework for Network Intrusion Detection

—Due to the growing threat of network attacks, detecting and measuring network abuse are increasingly important. Network intrusion detection is one of the most frequently deployed approaches. Most detection systems only rely on signature matching methods and, therefore, they suffer from novel attacks. This investigation presents a simple yet efficient data-mining framework (SID) that constructs a statistics based abusive traffic detection system based on network flows. We show that SID can accurately and automatically detect existing and new malicious network attempts. Experimental results validate the feasibility of using SID to detect network anomaly intrusions. In particular, we show that, simply employing four basic features of network flows, SID can yield an accuracy of over 97% with a false positive rate of 0.03% in the testing dataset.
A New QoS Architecture for IEEE 802.16 and IEEE 802.11e Standards

- There are several challenging issues to design a network when the integrated WiMAX/Wi-Fi networks are constructed. Literature shows that mostly of the existing researches may not have a strategy to map the QoS between WiMAX and WiFi networking. Therefore, this paper aims to propose new integration WiMAX/Wi-Fi architecture to improve the QoS. In this proposed architecture, a new strategy to map the QoS between WiMAX and WiFi networking will be designed. We study our integration WiMAX/Wi-Fi module when the WiMAX SSs send or receive data to or from Wi-Fi STAs. QualNet version 5.0. 2 is used to perform this simulation. The simulation results indicate that when the number of SSs or STAs in our integration WiMAX/Wi-Fi network increases, the average jitter, the average end-to-end delay and the throughput are increased. Sending data from WiMAX SSs to Wi-Fi STAs may have higher average jitter, average end-to-end delay and throughput than sending data from Wi-Fi STAs to WiMAX SSs.
A Novel Framework for Geo-clustering of User Movements based on Trajectory Data

Data mining applications on real time data sources is an evolving area of research . The availability of data gathering techniques in modern era is facilitating novel means to go with extracting knowledge from new data trends. Trajectory data is one of the potential sources to study the style of the data being generated through sensing the events with special and temporal nature. Trajectory data clustering is a major data mining technique to deal with the trajectory data of real-time movements. In this paper a new algorithm is proposed to cluster the trajectory data. The data regarding the sequential locations of user movements is considered for clustering. The trajectory data of taxy/auto riksha movements in the Nellore town of Andhra Pradesh is considered for evaluating the algorithm. The results showed that the proposed algorithm is better than the existing algorithms in the literature in terms of computational effort needed. This novel approach will met with the process of knowing user profile behavior and guide towards profitable Customer Relationship Management (CRM) practices in multifold business situations.
Survey Paper for WARNINGBIRD: Detecting Suspicious URLs in Twitter Stream

— Today online social networks play an important role in daily life. There are various online social network(Twitter) are there and these shows tremendous growth in recent years. These kind of social networks allow users to make social connection with others. Apart from all these there are some security issues or security violations are there. This paperrelated to the system investigates correlations of URL redirect chains extracted from several tweets in Twitter. Because attackers have limited resources and usually reuse them, their URL redirect chains frequently share the same URLs. To develop methods to discover correlated URL redirect chains using the frequently shared URLs and to determine their suspiciousness. So collect numerous tweets from the Twitter public timeline and build a statistical classifier using them. Evaluation results show that our classifier accurately and efficiently detects suspicious URLs.
Studies on Proximate Composition of Vacuum Packed Guinea Fowl Meat Sausages during Storage at Refrigeration Temperature (4±1° C)

1 Department of Livestock Products Technology,College of Veterinary Science and Animal Husbandry, N.D. U.A & T, Kumarganj, Faizabad, U.P.-224229, India 2 Department of Livestock Products Technology, College of Veterinary and Animal Scinces, G.B. P.U.A & T Pantnagar, Uttarakhand-263145, India 3 Department of Teaching Veterinary Clinical Complex,College of Veterinary Science and Animal Husbandry, N.D. U.A & T, Kumarganj, Faizabad, U.P.-224229, India *Corresponding author
DIAGNOSIS OF EPILEPSY A NEUROLOGICAL DISORDER USING ELECTROENCEPHALOGRAM (EEG)

Epilepsy is a common chronic neurological disorder. Epilepsy seizures are transient and unexpected electrical disturbance of the brain. About 50 million people worldwide have epilepsy, and nearly two out of every three new cases are discovered in developing countries. An Electroencephalogram (EEG) is a test that detects electrical activity in your brain using scalp electrodes. An EEG is used to detect problems in the electrical activity of the brain that may be associated with certain brain disorders. An EEG pattern consists of alpha, beta, gamma and theta waveforms according to frequency. EEG is most often used in medical field to diagnose epilepsy, which causes abnormalities in EEG readings KeywordElectroencephalogram (EEG), Epilepsy, Neurons, Brain wave pattern, seizures.
COMPARATIVE STUDY OF NITROGLYCERIN AND ESMOLOL FOR CONTROLLED

Background: diseases of the nose and paranasal sinuses like chronic sinusitis and polypus rhinosinusitis. Intraoperative this may result in many complications. Controlled hypotension is a technique wherein arterial blood pressure is lowered in a deliberate but controlled manner to minimise operative field visibility. Aim: T changes in arterial pressure (MAP), duration of surgery and operative field visibilty assessment by surgeon using Average category scale (ACS) or Anesthesia (GA). Methods: divided into 2 groups of 40 each to receive either Inj. Esmolol 500 μg/kg over 30 second infusion at 100 oral Alprazolam and Ranitidine on the previous night. In the operation theatre, all patients were premedicated with i.v. Glycopyrrolate, i.v. Mid Propofol. Laryngoscopy and intubation was facilitated by i.v. Succinyl choline. Anaesthesia was maintained with Isoflurane vapour in balanced nitrous oxide/oxygen mixture and i.v Vecuronium for muscle re 10, 15 minutes and every 15 minutes from the start of infusion till completion of surgery. the surgical field was rated by the surgeon using ACS wi impossible. Results: produced desired hypotension but ideal operative conditions were achieved at a higher MAP of 80.5 ± 2.5 mm Hg in ESM group, while same operating conditions were achieved at lower MAP of 70.8 ± 1.2 mm Hg in NTG group (p < 0.001). Mean duration of surgery was less in ESM group than NTG group (p < 0.001). Conclusion: is a superior agent to NTG for controlled hypotension in FESS under GA, as it minimizes surgical blood loss, enhances operative in MAP.
Effectiveness of Mindfulness Meditation on Psychosocial Wellbeing among Alcoholics

A Study was conducted to evaluate the Effectiveness of Mindfullness meditation on Psychosocial Wellbeing among Alcoholics. Quasi experimental (pretest posttest control) design was adopted. 60 samples (30 in each experimental and control group) were drawn through Snowball sampling technique. Pretest was done to assess the level of psychosocial wellbeing using structured interview schedule. The mean pre and post test score in the level of Psychosocial wellbeing among experimental group was 85.8 23.55 and 81.822.00 respectively. The estimated paired ‘t’ value was 5.854 which is higher than the table value 1.96 at p 0.05 level. The mean post test score in the level of Psychosocial wellbeing among experimental group and control group was 81.8 22.00 and 96.320.35 respectively. The estimated independent‘t’ value was 2.649 which is higher than the table value 1.96 at p0.05 level which shows that mindfulness meditation was effective in promoting the level of psychosocial wellbeing among alcoholics. Mindfulness meditation is one of the effective non pharmacological treatments available for individuals with alcohol use disorder which is easily affordable and will help them in maintaining good psychosocial wellbeing.
PERFORMANCE COMPARISON AND IMPLEMENTATION OF MPRAODV AND AODV IN MOBILE ADHOC NETWORK

A mobile ad hoc network (MANET) has no fixed networking infrastructure, and consists of mobile nodes that communicate with each other. Since nodes are mobile, routing in ad hoc networks is a challenging task. Efficient routing protocols can make better performance in such networks. Many protocols have been proposed for ad hoc networks and the most common types are: Ad hoc on-demand Distance Vector (AODV), Dynamic Source Routing (DSR), Optimized Link State Routing (OLSR). AODV is one of the most popular routing protocol dedicated for ad-hoc networks; it uses the flooding technique for locating the destinations, and so, possibly cause an overhead in the network(Perkis 2003). To overcome this problem we have introduced the MPR (Multi Point Relay algorithm(ZHU. W 2009)(B. Mans et al.,2004) in the AODV protocol in order to reduce the number of messages broadcasted during the flooding phase. The extended AODV (MPRAODV) using MPR, reduces the overhead and enhances the packet delivery performance.
Diabetic Foot Ulcer – Diagnosis and Management

Diabetes Mellitus is known to have many complications and one of the most distressing is diabetic foot ulcer which affects 15% of people with diabetes. It puts enormous financial burden on the patient and the health care services, even though it is preventable. Diabetic foot ulcer is characterized by a classical triad of neuropathy, ischemia, and infection. Each of these has a multifactorial aetiopathogenesis. These factors are compounded by mechanical stress created by foot deformities. The most commonly used classification systems are the Wagner-Ulcer Classification system and the University of Texas Wound Classification. These classifications help to predict the outcome of this condition. Prevention of this condition is paramount to prevent long term morbidity and sometimes mortality. This can be achieved by patient self-awareness and emphasis on regular foot examinations during follow-up. Care of the diabetic foot should be multidisciplinary. Debridement, dressings and offloading are the pillars of local management. Simultaneous glycemic and infection control is also essential. Amputations are usually the treatment of last resort but occasionally can be considered early to allow for faster mobilization and rehabilitation. Causative factors like peripheral vasculopathy and neuropathy must also be appropriately treated.
Random Access Career Sense Protocol: A Comparative Analysis of Non Persistent and 1 Persistent CSMA

:- In this paper we discussed the simulation based comparative analysis of two random access carrier sense protocol ie. Non persistent CSMA and 1 persistent CSMA in wireless network taking considering of random back off algorithm. The feedback comparison of both protocols compared with respect to load on medium utilization and average waiting time. Both results are demonstrated in different load conditions
Neural Network Based Sign Language Recognition Using Verilog HDL

— In today ’ s world, the field programmable gate array (FPGA) technology has advanced enough to model complex chips replacing custom application-specific integrated circuits (ASICs) and processors for signal processing and control applications. This project proposes a hardware/software co-simulation methodology using hardware description language (HDL) simulations on FPGA as an effort to accelerate the simulation time and performance [1, 2]. To accelerate the computation of the gesture recognition technique, an HW/SW implementation using field programmable gate array (FPGA) technology is presented in this project. The testing part of the neural network algorithm is being hardwired to improve the speed and performance. The American Sign Language gesture recognition is chosen to verify the performance of the approach. The major benefit of this design is that it takes only few milliseconds to recognize the hand gesture which makes it computationally more efficient.
Negotiation Based Resource Allocation for Distributed Environment

Resource allocation is an important task in distributed systems. A dynamic allocation is most effective task in decreasing execution time and improving overall system performance. The request for the resources might be generated at any time in environment and it has to be allocated without any delays and conflicts. The workload distributed among the system raises the major concern in the context of optimal allocation of resources. The primary objective of this system is to achieve the high performance and availability. Thereby reducing the computation and communication delays happens in dynamic environment. It generates good results in synchronization between the systems.
Android Security: A Survey of Security Issues And Defenses

- Android is becoming very popular nowadays and respective devices have acquired huge market share due to the openness of Android architecture and the availability of a variety of the applications provided. As a result, the smartphones users are increasing at a faster rate and it becomes prohibitive for application marketplace, such as Google Play Store, to verify whether an application is genuine or malicious. Due to the increase in popularity of the Android devices, the malware developers have been attracted, causing the big rise of the Android malware applications. The consequence is that the mobile users have to decide for themselves whether an application is secure to use. The recent studies and surveys have shown that over 80% of applications in markets request to collect data irrelevant to the main functions of the applications, which could cause personal information leakage. Generally, the stealth techniques, such as encryption, code modification, are capable of generating various forms of known malware. The single approach may be ineffective against the malware techniques, so multiple approaches can be used for effective detection. Hence, the researchers and industry sources have proposed many security mechanisms for Android devices Based on the mechanisms and techniques which are different in nature and used in proposed works, they can be classified into specific categories. In this survey paper, we discuss the security threats for Android as well as the solutions and try to categorize the works and their functionalities.
Response of Interleukins to Resistance Exercise. Virol Immunol J 2018, 2(1): 000141

The interleukins are a major class of biologically active protein mediators, known as cytokines. These proteins are released by several body tissues, including skeletal muscle. Contracting skeletal muscle may synthesize and release several interleukins with potential hormonal effects in response to exercise. These interleukins play an important role in training adaptation, as well as have potential anabolic effects in human skeletal muscle and can be associated with hypertrophic processes.
Conventional Suture Material versus Staplers in the Closure of Donor Area in Hair Transplant. Which is Better

Androgenetic alopecia is associated with a lot of psychological stress and hair transplant is the surgical modality of choice when medical treatment fails. The hair transplantation techniques are becoming more and more advanced with each passing day with focus on the aesthetic outcome and being more patient friendly and convenient for the surgeon too. Closing the donor area is a challenge as it leaves a scar and decreases the chances of second transplant if needed. Thus the technique of donor area closure and the choice of suture material are important determinants of the final cosmetic outcome of donor area. In this study we have compared the cosmetic outcome of conventional suture material (prolene) with staplers in the closure of donor wound area. Aim: The aim of the study was to compare the aesthetic outcome of donor area scar following the closure of donor area with prolene and staplers. Material and Methods: Twenty eight patients with androgenetic alopecia (grade III-V) were enrolled for the study. The patients were divided into two groups. In one group prolene 3-0 was used while in the other group staplers were used for the closure of donor wound area. Written informed consent was taken from all the patients and procedure was explained to them. All the patients were followed for six months post-transplant. Results: The cosmetic outcome of using prolene and staplers in the closure of donor area was almost equivalent as far as the scar formation is concerned. Conclusion: Prolene and staplers are both effective in the closure of donor area in follicular unit hair transplant, but staplers can be convenient as far as closing donor area is concerned as it needs not much surgical skills and saves time in closing donor area also.
A New Reliability Growth Model to Estimate the Quality of Software

: Software reliability is one of the significant factor in finalizing the quality of software. In recent years, Software Reliability Growth Models(SRGM) are used by number of software development organizations to assess and analyse the software product’s quality. The estimation of reliability of software can save loss of time and cost. These models are applicable at the final stage of software development. In this paper, we propose a new model for assessing the software product’s reliability. It first focuses on some of available reliability models and discuss about the problems associated with existing models and arrive at a new reliability model.
CHURN PREDICTION IN TELECOM INDUSTRY USING STANDARD MACHINE LEARNING TECHNIQUES

Churn prediction targets to hit upon customers contemplated to leave a service provider. Customer churn has emanated as a critical issue for Customer Relationship Management and Customer retentiveness in the Telecom industry. Retaining one customer demands an organization from 5 to 10 times than gaining a new one. Predictive models can contribute correct identification of possible churners in the near future in order to provide a desired solution. As churn management is a considerable duty for companies to cling to valuable customers, the ability to predict the customer churn is prominent. There are a multitude of issues that can lead customers to leave a business, but there are a few that are contemplated to be the leading cause of customer churn. There is a direct affiliation between customer lifetime value and the ability of growing business. Higher the customer churn rate, lower is the chances for profession growth. Linking two or more algorithms have been proved to provide better performances than many single techniques over a number of different domain problems. This project consists of models such as KNN Classification, Linear Regression, Random Forest algorithm, Decision Tree Classification, XGBoost algorithm, Naive Bayes algorithm, Artificial Neural Networks. As expected, Artificial Neural Networks gives more accuracy when compared with other algorithms.
Probabilistic Broadcasting based on Neighbor Coverage for CBR and VBR Traffic in MANET

Mobile Ad-hoc Networks are formed by nodes which can move dynamically without any controlling stations. These are communication networks in which every node can send and receive data within the network. After the deployment of network the next step is to find a path from source to destination. Routing protocols are used for the path discovery. Broadcasting of data is the primary way to establish a path in MANET. But it has problems like collision and contention. In order to reduce the overloading of the network the route discovery process has to be modified. This work proposes a new method to find the route in an ad-hoc network. The protocol selected for modification is Ad-hoc On-demand Distance Vector. In AODV the route is selected only when there is a requirement for a node to send data to another. In the proposed method route selection is done by the neighbor knowledge which is used to reduce the route overhead in the network. This method is based on a rebroadcast delay and rebroadcast probability. Simulation result shows that this approach can improve the average performance of broadcasting in various network scenarios. This method is simple and can be easily implemented in MANET.
Implementation of Face Recognition Using STASM and Matching Algorithm for Differing Pose and Brightness

- A very important aspect of security is the identification of an individual. The identification techniques used may differ according to conveniences and requirements. The identification of an individual person may be carried out by traditional means like passwords, identity cards etc, but these can be easily misused. Hence a better way of identifying an individual is by using biometric verification. The biometric verification involves identification of an individual based on physiological and behavioral features. The physiological features include face, iris, finger print etc, and behavioral features include signature and voice, which are unique to a person. Human face recognition is one among the best techniques used to identify an individual person. Verification of driving license, user verification and improved human-PC collaboration all get to be conceivable just if a powerful face recognition framework can be executed. Face images have been in use for authentication since long because of their high immutability, individuality and acceptability. Immutability refers to the consistency of the face images over time and individuality refers to the uniqueness. Accurate face recognition system is the problem encountered in the field of biometric identification. The existing approaches called PCA (Principal Component Analysis), ICA (Independent Component Analysis) and LDA (Linear Discriminant Analysis) do not carry out the recognition to the face images captured in unprincipled settings. The proposed method uses the model-based algorithm for face recognition in unprincipled settings. STASM (Extended Active Shape Model) algorithm is utilized to position points on the face images. Using the points pose normalization is carried out. Then Matching algorithm is used for matching image with input face image and image in database. FERET database is used to train the system.