Miracle-dz/UniFAR-FTUs huggingface dataset:
Nano crossbar array of Complementary Resistive Switches with nonlinear memristive characteristics

Emerging solid state memory devices based on different materials and volatility has been widely acknowledged like NVRAMs (or Memristor). Evolution of new solid state ionic conductors and in particular (Memristor) brought impetus to the creation of new domain of larger storage capabilities for the future electronic systems. The achievements of these emerging technologies are kind of encouraging when compared with the existing memory types. Accordingly, a new memory architecture called Resistive Random Access Memory (ReRAM) memory faces challenges like sneak path current flowing through neighbouring cells which limits array size. To deal with such issue is to enforce a crossbar array using complementary resistive switch (CRS). CRS has recently been proclaimed as a great beneficiary to conventional charge based memories. But, the nanoscale advantage of these devices poses new challenges in designing such memories as well. In this paper, our purpose is to familiarize Memristor principle and a preliminary note on various understanding of Memristor is also described and a novel nonlinear memristive based complementary resistive switch memory model for effective simulation and analysis. The CRS has two memristor connected in antiserially. Four different state of CRS which significantly reduces sneak path current as compared to memristor based architecture. Here, CRSs can be viewed as primary logic building block in array and two modes of resistance states of CRS stores the information. Thus, our aim is to elucidate as to how CRS is beneficial for reducing sneak path current. KeywordsElectroforming, Memristor, Complementary resistive switch (CRS), RRAM, Solid State memories, non-volatile memory.
I nternational J ournal of I nnovative R esearch in S cience, E ngineering and T echnology

— Agile software development methodology is becoming one of the widely used Software Development methodologies because of its light weight methods and its focus on customer satisfaction. Continuous Integration is the only technique which is used in Agile, to ensure the Software quality of the deliverable. It is the process of integrating the new source code developed to the base code, automated compiling, building the application and running the tests. SCRUM is one of the most popular Agile methodologies used in Software development. This paper introduces the implementation of 3C Approach in SCRUM. The 3C Approach adds Continuous Measurement and Continuous Improvement as subsequent activities to Continuous Integration, for ensuring quality. Continuous Measurement is the process where the metrics and measurements, which helps in the ensuring the software quality of the deliverable, are considered. Agile methodology emphasize on Agile metrics, which helps in tracking the project success and customer satisfaction. Metrics from Traditional methods will also be helpful, if combined in the right way. So, in the Continuous Measurement phase, along with Agile Metrics, traditional metrics are also considered. Continuous Improvement process helps in interpreting the measurement and metrics for planning the improvement tasks for achieving better Software Quality.
Improving Computer Inspection by Using Forensic Cluster Analysis to Develop the Document

: In present forensic analysis, many bulks of files are usually examined. Data mining is a process of searching through large amounts of data for patterns recognition. It is a relatively new concept which is directly related to computer science. It can be used with a number of older computer techniques such as pattern recognition and statistics. The goal of data mining is to extract important information from data that was not previously known. This paper make use of data mining concept for collecting patient details in hospital management . We use a new algorithm called RENOVATE algorithm to cluster the patient record for citation the disease of the patient. This algorithm cluster the data based on everyday update and produce the better result for the doctor to understand the state of affairs of the patient. The renovate algorithm provide the result by clustering the record on the core of labels. And also gives how the clustering process carried to place them in labeled order.
Comparison of Different Channel Estimation Techniques in OFDM Systems

:-The present work addresses channel estimation based on the Minimum Mean Square Error (MMSE) and Least Square (LS) criteria and also considers time-domain channel statistics. It presents an optimal criterion for the pilots, and corresponding optimal designs enabling complexity reductions. Using a general model for a slowly fading channel, the MMSE and LS estimators and a method for modifications compromising between complexity and performance is presented. The symbol error rate for a 16-QAM system is estimated by means of simulation results. MMSE (minimum mean square error) and LS (least square) estimators are also examined. The MMSE estimator has good performance but high complexity. The LS estimator has low complexity, but its performance is not as good as that of the MMSE estimator. Comparison is done for both types of estimators for channel estimation and the results are observed, considering the performances of channel estimators according to their behavior to symbol error rate and mean square error. Therefore, SNR of different estimators is studied corresponding to the particular SER value. OFDM-based systems are generally used in time varying frequency selective fading channels. In order to achieve the potential advantages of OFDM-based systems, the channel coefficients should be estimated with minimum error. Finally, it is concluded that modified estimators give better performance than the ordinary estimators in OFDM systems.
Seguro Digital storage of documents using Blockchain

- Disclosure of user’s personal documents is a serious breach of privacy. Traditional database storage options have proven to be quite inefficient in protecting such sensitive data. Records can be stolen and tampered with on cloud based services. This paper proposes a decentralized system of storing documents using a novel technology, Blockchain. Blockchain technology has thus far been able to prevent unauthorized access with its secured cryptographic algorithms and its immutability makes the data tamper-proof.
Video Copy Detection Using F-SIFT and SURF Descriptor Algorithm

This paper proposes Video Copy Detection (VCD) System and is done by using two keypoint descriptor and detector namely Flip-Invariant Scale Invariant Feature Transform (or F-SIFT) and Speeded Up Robust Feature (or SURF). Flip operation creates the mirror of an image and incorporate flip invariance properties to the existing descriptor algorithm called SIFT to get a new descriptor namely Flip-Invariant SIFT. Hence in a video copy detection system, flip operation need to be identified. VCD System also contain RANSAC algorithm, Hamming Distance Calculation and Forged Region Localisation. The time computation of F-SIFT is very high. To speed up the system, we presents a novel scale-and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features) for video copy detection. SURF approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster.
Elliptic Curve Cryptography Digital Signature Algorithm For Privacy-Preserving Public Auditing For Shared Data In The Cloud

— Cloud computing becomes one of the emerging technology on now a days to share and manage their data in organization , because of its forcefulness, small communication cost and everywhere environment. Privacy preservation concern in the cloud computing becomes arise several security challenges since information stored in the cloud data is easily outsourced anywhere at any time. To manage this privacy preservation in cloud computing several number of the mechanism have been proposed in earlier work to permit both data owners and public verifiers toward proficiently audit cloud information integrity without leakage information from cloud server. But major issue of the existing works becomes these methods is that unavoidably disclose secret data to free verifiers. In order to overcome this problem in this paper presents novel privacy-preserving elliptic curve digital signature cryptography methods data integrity with the purpose to maintain public auditing on shared information stored which is stored in the cloud computing database. In the proposed methods digital signature are created to each data owner in the cloud computing environment and attain data integrity confirmation for shared information between one cloud data owner to third party auditor. In our proposed data integrity Elliptic Curve Cryptography Digital Signature Algorithm, the individuality of the signer on every one chunk in shared information is reserved privately secure manner by creation elliptic curve based private key from public verifiers. Further improve accuracy of the privacy preservation for shared information in the cloud computing proposed ECCDSA perform manifold auditing tasks parallel. The experimentation results of the proposed ECCDSA based multiple data auditing task shows that higher efficiency and higher data integrity while performing auditing task, it can be compared with existing public auditing methods.
Comparative Study of Depending Factors of CCT in IEEE 14 Bus System

A deregulated power system is expected to serve the needs of the customers with improved reliability and security parameters of the utility. A power system which offers uninterrupted service to its customers is said to be highly reliable. Hence to serve the cause unwanted tripping of CBs are minimized to a large extent. This is done by controlling the CCT of the relay. Efficient smart grid topologies can be developed by implementing novel control strategies for relays, especially with critical clearing time. The study presented in this paper describes to what extend CCT is vulnerable to change with each of the factors determining it. Loadability of the test system is also derived out of the study. A standalone IEEE 14 bus is used as the test system. Variation of CCT is observed using time domain simulation and eigen value analysis method in MTLAB\PSAT platform.
Clustering Web Documents using Hierarchical Method for Efficient Cluster Formation

 Abstract — Document clustering aims to group, in an unsupervised way, a given document set into clusters such that documents within each cluster are more similar between each other than those in different clusters. It is an enabling technique for a wide range of information retrieval tasks such as efficient organization, browsing and summarization of large volumes of text documents. Cluster analysis aims to organize a collection of patterns into clusters based on similarity. Clustering has its root in many fields, such as mathematics, computer science, statistics, biology, and economics. In different application domains, a variety of clustering techniques have been developed, depending on the methods used to represent data, the measures of similarity between data objects, and the techniques for grouping data objects into clusters. The first part is a document index model, the Document Index Graph, which allows for incremental construction of the index of the document set with an emphasis on efficiency, rather than relying on single-term indexes only. It provides efficient phrase matching that is used to judge the similarity between documents. This model is flexible in that it could revert to a compact representation of the vector space model if we choose not to index phrases. The second part is an incremental document clustering algorithm based on maximizing the tightness of clusters by carefully watching the pair-wise document similarity distribution inside clusters. Both the phases are based upon two algorithmic models called Gaussian Mixture Model and Expectation Maximization. The combination of these two components creates an underlying model for robust and accurate document similarity calculation that leads to much improved results in Web document clustering over traditional methods.
ON GENERAL FIRST ZAGREB INDEX OF GRAPHS WITH FIXED MAXIMUM DEGREE1

The general first Zagreb index M 1 of a graph G (also called the general zeroth–order Randić index) is equal to the sum of the α-th powers of the vertex degrees of G. For α > 1 and k > 0, we characterize the k-cyclic connected graphs with maximum degree ∆, having minimal general first Zagreb indices.
A Novel Approach for Processing Large-Scale Data by Using Peer-To-Peer Techniques

The Companies used sharing data where they need to contribute or they share common interest. As per increasing business trends and maximum used of cloud computing, the new system evolved in new stage of growth towards cloud enabled system. In this system based on peer to peer system develop data sharing service in shared network. This system is the combination of cloud computing, databases and peer to peer based technologies. This system gives the efficiency as pay as you go manner. This paper used benchmarking method for analysis and evolution by comparing this method with Hadoop DB which is Large Scale data processing platform. This system having security by providing private key and admin authorized to provide access to other user. Using Cloud Computing they allowed to user to store their data into cloud and access when required. KEYWORDS: Cloud computing; Map Reduce; Network Security; Peer-to-peer systems; Query processing
Marginal adaptation of composite resin with different dentin bonding agents in Class V restorations

Light-cured resin composites benefit today by an increasing spectrum of indications as their application has been expanded to include the restoration of anterior tooth wear[1] and non-carious cervical lesions. [2-5] The marginal seal of composite restorations represents an increasing concern in dentistry. Over the years, in vitro evaluations of resin adhesives revealed that microleakage and gap formation, mainly at the dentincomposite interface, did not improve at the same rate as did bond strength values. [6-9] Research Article
Effects of growth regulators 6-Benzylaminopurine and 2-Naphtalene Acetic Acid on the in vitro shoot multiplication from nodal segment of Medinilla

Medinilla mandraken is a threatened epiphyte forest endemic of Madagascar. Micro propagation regeneration is an appropriate way for propagation and conservation of this species. The study aims to find the best combination of growth regulators for the rapid proliferation in vitro of shoots by nodal segment. Micro cuttings was from aseptic germination of seeds grown on Murashige and Skoog in half strength medium (MS/2), supplemented with 15% of green coconut water. The MS/2 added 0, 0.5, 1, or 2mg/L of 6Benzylaminopurine (BAP), alone or in combination with 0.1 or 0.5 mg/L of 2-Naphtalene Acetic Acid (NAA), were tested for its multiplication. The effects of growth regulators were evaluated in function of means number of regenerated shoots, their size, callogenesis, and rooting rate. The best shoot growth was obtained in the medium growth regulators free (13.3 mm in 45 days). Culture Medium added of 2 mg/L of BAP promotes maximum proliferation of shoots (27.5 shoots per explants in 45 days). The combined use of BAP and NAA regardless of their concentrations reduced the production of shoots and improved the cals formation. Rooting was noted in the medium growth regulator free.
Comparative Analysis of MPLS Signaling Protocols

MPLS is the pioneer in Service Provider Networks. Every service provider use MPLS in its core network for fast label switching. This paper explains MPLS and its signaling protocols i.e. LDP, CR-LDP, RSVP, RSVP-TE. This paper explains every signaling protocol that is used in Multiprotocol Label Switching environment. This paper explains differences between MPLS signaling protocols on the basis of performance and security.
Prediction of Soil Total Nitrogen Content Using Spectraradiometer and GIS in southern Iraq

In this study, soil samples were collected from two locations: Samawa and Rumetha in southern Iraq. The samples from each location were split into two datasets: calibration set and validation set. VNIR reflectance (350-2500 nm) and GIS-Kriging were used in combination with Partial Least Square (PLS) to predict total N. only two regions reported higher determination coefficient R 2 and lower Root Mean Square Error (RMSE) than the other wavelength regions. PLS calibration models yielded an R 2 of 0.96 and 0.97 for Rumetha and 0.87 and 0.94 for Samawa location in bands at 500-600 and 800-1000 nm, respectively. The potential of VNIR-based and GIS-Kriging models to predict new unknown soil samples were assessed by using validation datasets from both studied locations. The cross-validation of GIS-Kriging models were unsatisfactory predicted with an Q 2 of 0.28 between laboratory-measured and predicted total N values for Rumetha and 0.43 for Samawa location. While VNIRbased validation models achieved highly predictive power with an R 2 v of 0.84 between laboratory-measured and predicted total N values for Rumetha and 0.85 for Samawa location. These results reveal extremely decreasing in model predictive ability when shifting from VNIR Spectroscopy method to GIS-Kriging. Keywords— GIS, Kriging, Spectroradiometer, Total Nitrogen.
HEPATOPROTECTIVE AND ANTIDIABETIC EFFECTS OF NIGELLA SATIVA SEED EXTRACT IN ALLOXAN-INDUCED DIABETIC MICE: AN EXPERIMENTAL STUDY WITH HISTOPATHOLOGICAL INVESTIGATIONS

Objectives Diabetes Mellitus (DM) is known to induce oxidative stress causes liver tissue injury and changes the homeostasis of carbohydrate, lipid and protein metabolism. Hence, present study is aimed to investigate the hypoglycemic and hepatoprotective activities of the Nigella sativa (NS) against experimentally induced diabetic mice. Methods Experimental micewere divided into five experimental groups (n=6). DM was induced by a single intraperitoneal (i. p.) injection of alloxan (80 mg⁄kg body weight). Fasting blood glucose (FBG) and body weight (BW) were measured in the particular days (1, 8, 16, 24 and 32) of treatment period. The histological changes were examined by hematoxylin–eosin (HE) staining. Liver function markers and lipid profile were alsomeasured by using enzymatickits. Key Findings Treatment with NS (50 and 200mg/kg BW) markedly increased BW gain and significantly (p<0.001) reduced FBG level compare to diabetic mice. Histopathological examination showed that the NS partially recovered hepatic injury. SGPT, SGOT and ALP levels were found to decrease (P<0.01) in NS treatment groups. Hepatic dysfunctioning was found strongly correlated (P<0.01) with diabetes. Conclusion Methanol extract of NS possess hypoglycemic and hepatoprotective properties. Therefore, NS could be used as an alternative medicine in management of diabetes.
THE EFFECT OF ANTICOAGULANTS, STORAGE TIME AND TEMPERATURE ON LIPOPROTEIN CONCENTRATIONS OF APPARENTLY HEALTHY SUBJECTS IN PORT HARCOURT, NIGERIA

Background: This study was designed to investigate the effect of anticoagulants (lithium heparin and fluoride oxalate) on lipoprotein levels obtained from samples which were analyzed within 2h after collection (control), stored at -4C for one week (168h), 25C for one week (168h), -4C for two weeks (336h) and 25C for two weeks (336h). 30 apparently healthy subjects ranging between the ages of 23 to 75 years participated in the study. Materials and Methods: Standard analytical procedures were used to determine the levels of the lipoproteins in the sample. Results: The results of the means ± SD of the plasma samples in the different anticoagulants stored for both 1 week and 2weeks at -4°C and 25°C for TC, TG, HDL-C and LDL-C showed significant differences (p< 0.05) decrease and deterioration when compared with the controls. There was no significant difference (p>0.05) in the lipoprotein concentrations between lithium heparin and fluoride oxalate controls suggesting that lipoprotein determinations can be performed using fluoride oxalate as anticoagulant if the samples are to be analyzed immediately after collection. Conclusion: Anticoagulants, length and storage temperature, affect dramatically the measurement of total cholesterol, triglycerides, high density lipoprotein and low density lipoproteins.
A Review of Phase Correction Methods for Partial Fourier Reconstruction of MRI

Partial sampling of K-space data is the conventional method of image reconstruction in clinical MR imaging. This technique is estimated to lead in consistent scan time reduction. Since MRI reconstruction involves partial sampling of the kspace data, certain issues like signal losses, truncation artifacts etc. are seen in the reconstructed k-space. Inorder to address these issues in partial k-space reconstruction, the principle of phase correction is applied. Among the demerits of partial Kspace acquisition includes phase errors and truncation artifacts. Inorder to address these issues different phase correction methods have been designed.This paper presents a review of the different phase correction approaches which are applied for partial fourier reconstruction of MRI while taking into account the merits and demerits of the same. Keywords— partial K-space, artifacts,phase errors, phase correction , scan time
Passive Forgery Detection for JPEG Compressed Image based on Block Size Estimation and Consistency Analysis

: As most of digital cameras and image capture devices do not have modules for embedding watermark or signature, passive forgery detection which aims to detect the traces of tamping without embedded information has become the major focus of recent research for JPEG compressed image. However, our investigation shows that current approaches for detection and localization of tampered areas are very sensitive to image contents, and suffer from high false detection rates for localization of tampered areas for images with intensive edges and textures. In this paper, we present an effective approach which overcomes above problem, using reliable estimation and analysis of block sizes from the block artifacts resulting in JPEG compression process. We ﬁrst propose an enhanced cross difference ﬁlter to strengthen block artifacts and reduce interference from edges and textures, and then integrate techniques from random sampling, voting and maximum likelihood method to improve the accuracy of block size estimation. We develop two different random sampling strategies for block size estimation: one for estimation of the primary JPEG block size, and the other for consistency analysis of local block sizes. Local blocks whose JPEG block sizes are different from the primary block size are classiﬁed as tampered blocks. We ﬁnally perform a reﬁnement process to eliminate false detections and ﬁll in undetected tampered blocks. Experiment over various tampering methods such as copy-and-paste, image completion and composite tampering, shows that our approach can effectively detect and localize tampered areas, and is not sensitive to image contents such as edges and textures.
A Split Ring Array Antenna for WLAN Applications using MIMO Techniques

The paper proposes design of an array antenna with proximity coupled feeding at frequency 2.55 GHz. At first, a linearly polarised rectangular patch antenna is discussed. The basic rectangular structure is modified using proximity coupled feed to enhance the impedance bandwidth. Then, in order to introduce circular polarisation, the patch structure is further modified into Split Ring structure. An Array of these Split Rings is constructed to increase the directivity. Inter-element spacing of the array is further changed with 5mm offset and it is observed that the antenna turns in to a dual band antenna. The performance of Split Ring Array Antenna (SRAA) is investigated in terms of relevant parameters viz. impedance bandwidth, gain, axial ratio and efficiency. The SR Array antenna exhibits qualitatively better performance and can be used for wireless LAN and WAN in MIMO environment.