Miracle-dz/UniFAR-FTUs huggingface dataset:
Watermarking of Relational Databases using Video

 Abstract — Information security is a growing concern because of increase use of network and growing economical value of the data in the real world. There are a lot of security mechanisms for protecting the data while transferring through the network. Watermarking appears as an interesting security mechanism that can provide ownership verification of the data. Watermarking of relational database has just begun its maturity cycle towards full deployment in industry level applications. This paper proposes a new method for watermarking the relational databases using multimedia data that is by using video. For providing better security to the data this system offers a new watermarking method in relational framework.
Hopf Bifurcation and Chaotic Response in Nonlinear Dynamics of Firing-Rate Recurrent Networks of Neurons

— In-depth analysis of the nonlinear dynamics and chaotic behaviour of interconnection of neurons has been made in order to investigate the learning capabilities of this interconnection. Firing-rate recurrent neural networks are used to study the neuronal behaviour in a population of neurons. Dynamical behaviour of these network models is investigated in order to seek their capability to represent the presence of chaos in nervous system. Study of chaos and other phenomena of nonlinear dynamics in these network models can provide a significant help in investigating the learning mechanism. It is found that the response of the network highly depends on its parameters. Such type of model exhibits all types of dynamics namely converging, oscillatory, and chaotic with the variation in the synaptic weights.
Numerical simulations of flow and contaminant transport using multiple depth- averaged two-equation turbulence models in the Solimões river near the Anamã city

This paper reports a quasi 3D numerical simulation in a curved river reach of the Solimões River near The Anamã City, Brazil, aiming to develop a numerical tool for modeling turbulent flows and pollutant transport in complex natural waters. The recently built depth-averaged two-equation turbulence  ~ ~  k model, together with  ~ ~  k and w k ~ ~  models were used to close non-simplified quasi 3D hydrodynamic fundamental governing equations. The discretized equations were solved by advanced multi-grid iterative method under non-orthogonal bodyfitted coarse and fine two-levels’ grids with collocated variable arrangement. Except for steady flow and transport computation, the processes of contaminant inpouring and plume development, caused by the side-discharge from a tribytary, also have been investigated numerically. The used three closure approaches are suitable for modeling strong mixing turbulence. The established ~ ~  k model with higher order of magnitude of transported variable  ~ provides a possibility to elevate the computational precision. Based on the developed hydrodynamic model, a CFD
Design and Dimensional Measurement of Interdigital Sensor for Blood Glucose Measurement through Non-Invasive Method

6437 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: D5154118419/2019©BEIESP DOI:10.35940/ijrte.D5154. 118419 Abstract: Diabetes has shown to be a chronic disease world over, mainly caused due to reduced physical activity and increased obesity. World health organization statistics show diabetes as a leading cause of disability universally. To avoid extreme medical conditions of subjects, regular monitoring of their glucose levels has been suggested. The most common method that has been in use is the pinprick method for glucose monitoring which carries the risk of contamination as well as irritation. One possible approach called noninvasive technique can be adopted to avoid this major concern. This paper presents designing Inter-Digital-Sensor (IDS) for non-invasive sensing of the glucose level. The sensor-based chip once mounted onto the upper arm or pinkie finger of diabetes subject, is able to sense different glucose levels concentration as impedance plots. A set of several simulation results has been obtained using COMSOL for getting optimized dimensions of the sensor digits. This research has presented the generation of an electric field and intensity by using electrode of known length with element spacing varying from 250μm to 600μm developed over 15mm x 20mm sensor area. An ID of 475μm width spacing with ten (10) digits producing 2.33 pF of capacitance value with impedance resonating at 13 GHz of frequency is reported in this paper.
Security Issues and Solutions related to Data Aggregation Process in WSN

Summary In Wireless Sensor Networks (WSN), the nodes are often deployed to collect environmental data related to some particular relevant events. The collected data are then sent to a sink node or a base station following operations aimed at optimizing critical network resources such as storage, computing capacities and bandwidth. However, sensors have low processing and storage capabilities, small bandwidth and relatively low energetic resources. Thus, data aggregation is one of the most powerful techniques used to optimize sensor resources. Instead of sending data directly to the base station, the sensors send it first to an aggregation node that will compute a summary avoiding then redundant data and reducing the number of transmissions. During the data aggregation process, several attacks exploiting network vulnerabilities and weaknesses threaten sensor applications. In this paper we will give an overview study of the data aggregation process security issues and solutions in WSNs.
Studies on the Quality and Vulnerability of Groundwater to Contamination

To effectively and properly protect groundwater, it is crucial being able to identify areas where groundwater may be most vulnerable to contamination and translate this information into vulnerability maps that can be used by potential end-users, such as land and water-resources managers to prevent or minimize harmful impacts on groundwater quality. The focus of the study is to evaluate the quality of groundwater around the Niger Delta Basin Development Authority in Nigeria and assess the aquifer characteristics and its vulnerability to contamination About hundred (100) boreholes spread to cover the study area were sampled. The water samples were analyzed using standard procedures for assessing drinking water qualities in order to understand the existing condition of groundwater quality within the study area. In addition, existing borehole logs were acquired and lithological mapping of the study area was done to acquire relevant data that was needed to generate thematic maps such as; depth to groundwater map, aquifer recharge map, aquifer media map, soil media map, hydraulic conductivity map and the vadose zone map. The topographic map of the study area was generated from the digital elevation model (DEM). To generate the groundwater contamination map, pairwise overlay analysis using geographic information systems (GIS) was employed.Based on the final DRASTIC map, it was observed that most of the locations from where water samples were collected fell within the light brown colouration with computed DRASTIC index of between (140-160) indicating high rate of vulnerability of the aquifer to contamination. Keywords: DRASTIC, Groundwater quality, Lithological mapping, Overlay analysis, Aquifer media. DOI : 10.7176/IKM/9-11-05 Publication date: December 31 st 2019
The Electronic and Thermal Properties of ZrV2 Compound: An ab initio Study

A systematic study of thermal properties such as the Debye temperature and electronic specific heat co-efficient have been carried out using the results of ab initio studies of the electronic band structure and related characteristics, for the ZrV2compound in cubic phase, using tight-binding linear muffin-tin orbital method (TB-LMTO) within local density approximation (LDA). Apart from the electronic band structure, the density of states (DOS) and Fermi energies (EF) are also calculated. The calculated results are found to be in good agreement with the available results in literature. Keywords-TB-LMTO; Debye temperature; specific heat coefficient; DOS; Fermi energy.
Active Filter Based On Differential Voltage Current Conveyor Transconductance Amplifier (DVCCTA)

This paper present a voltage mode filter and current mode filter based on recently proposed active building block, namely differential voltage current conveyor transconductance amplifier (DVCCTA) . Filter circuit employ DVCCTA, two capacitor, and single resistor. The filter circuit enjoys low voltage (1v), low current (μA) performances and exhibit electronic tenability of filter parameter via bias current of DVCCTA . ADS simulation using 0.18 μm TSMC CMOS technology parameter are included to show the workability of proposed circuit. Keywords— Analog signal processing applications, Operational amplifier, Active filter, DVCCTA.Current Conveyor
Design and performance Analysis of Solar Vapour Absorption Cooling System Using parabolic dish Collector

In now a day’s use of the conventional energy resources like coal, petroleum etc., it is necessary to utilize renewable energy resources to fill the gap of current energy demand. There is a need to develop more strategies for trapping of all non-conventional energy sources. Out of all resources one of the best and effective sources of energy is the solar energy. Now a days India develop many solar devices are developed and in particular, solar water heating systems with Different solar collector are being used in commercial as well as domestic areas. The usage of solar water heating system is high in winter and Rainy Season. Also the solar energy collection efficiency is more in summer. But a use of solar energy utilization rate is low. Therefore in the present work an attempt has been made to produce the refrigeration effect by obtaining the energy from parabolic dish collector, with the help of vapour absorption refrigeration technique. In this way a commercial parabolic dish collector water heating system can be used for heating purpose in winter and rainy seasons and cooling effect during summer.
Analysis of cancer datasets using Analysis of cancer datasets using Analysis of cancer datasets using Analysis of cancer datasets using CCCClassificationlassificationlassificationlassification AlgorithmsAlgorithmsAlgorithmsAlgorithms

: Cancer detection is one of the important research topics in medical science. In bioinformatics age, gene expression data can be used for the cancer detection. Data mining techniques, such as pattern association, classification and clustering, are now frequently applied in cancer and gene expressions correlation studies. Classification is very important among these techniques of data mining. Here in this paper we studied various classification algorithms like C4.5, CART, Random Forest, LMT, ADT, Naïve Bayesian and Bayesian logistic Regression over different cancer dataset. Accuracy is the main objective to estimate the performance of these algorithms over cancer datasets.
The fixed-dose combination of tiotropium + olodaterol has a rapid onset of action in patients with COPD

Background: Tiotropium (T) is an established once-daily long-acting muscarinic antagonist that improves the main functional and patient-orientated outcomes of COPD. The long-acting β 2 -agonist olodaterol (O) has a rapid onset of action (5 mins post-dose) providing 24-h bronchodilation in patients with COPD. 1 The TONADO studies (NCT01431274; NCT01431287) investigated the efficacy and safety of the fixed-dose combination (FDC) of T and O over 1 year in moderate to very severe COPD. 2 This analysis determined the onset of bronchodilation after first administration. Methods: Two 52-week, double-blind, parallel-group studies were conducted. Patients were randomised to O 5 µg, T 2.5 or 5 µg, or T+O FDC 2.5/5 or 5/5 µg. We present the change in FEV 1 at 5 mins post-dose after the initial dose of study medication (combined data set). Results: 5162 patients were randomised and received treatment. FEV 1 was significantly increased from baseline at 5 mins post-dose with all treatments. FEV 1 responses were similar with the FDC and O 5 µg at 5 mins post-dose but were significantly greater than T 2.5 and 5 µg. Conclusion: T+O FDC results in a rapid improvement in lung function comparable to O 5 µg and significantly greater than T at 5 mins post-dose. References: Ferguson GT et al. Int J Chron Obstruct Pulmon Dis 2014;9:629-45. Buhl R et al. Eur Respir J 2015;Jan 8 [Epub ahead of print]. Funding: Boehringer Ingelheim.
Energy Efficient Cross-layer Routing Protocols for IoT Applications - A Compendious Review

: Internet of Things (IoT) is regarded as one of the fastest and emerging technologies providing a life-long solution towards accessing the affordable and clean energy around the world. There are various protocols and techniques involved in IoT. While generic protocols use travel through every layer linearly, cross layered protocols can skip the layers and directly reach the targeted layer. However, there is a demanded for cross-layered approaches to tackle the common requirements of every layer implemented in TCP/IP protocol suite. Hence, this paper aims to deliver a compendious review of energy-efficient cross-layer routing protocols for IoT networks. Novel contributions by different researchers across the world with regard to proposed routing protocols is studied and compared. The comparative analysis of routing protocols is performed on the basis of technical specifications primarily focusing on energy-efficiency. Applications of the cross layered mechanism in IoT is presented along with the issues and challenges faced. It was found that most of these protocols lacked the features of security and mobility since they were based on either Wireless Sensor Networks (WSNs) or Mobile Ad hoc Networks (MANETs). A hybrid energy efficient cross layered protocol is proposed as a future scope.
MRI PHASE CONTRAST FLOW VELOCITY IMAGING IN MAIN PULMONARY ARTERY IN PULMONARY ARTERIAL HYPERTENSION

AIM : This prospective study aims to compare the accuracy of MR Pulmonary Phase Contrast Flow Velocity Imaging with established CT size criteria in patients with Pulmonary Arterial Hypertension. MATERIALS AND METHODS: Study population included 50 subjects ,who are diagnosed or suspected to have pulmonary hypertension. For control, patients who undergo CT chest investigation for other reasons were included and were analysed.Phase contrast flow velocity imaging is done with in plane and through plane imaging.For phase contrast flow velocity imaging, mean velocity encoding is kept at 75cm/sec in our study, the CT parameter, pulmonary artery size of 2.9mm is kept as cut off value above which is possibility of pulmonary hypertension can be considered and below which it is considered normal.Following parameters are assessed and evaluated 1. Size of the main pulmonary artery in CT. 2. MRI Pulmonary Artery Flow Parameters (Average velocity, Average pulmonary artery area, Peak velocity, Maximum pulmonary artery area, Minimum pulmonary artery area). RESULTS: Pulmonary artery size criteria for pulmonary hypertension is well correlated with PA average velocity and PA minimum area of the pulmonary artery as measured using phase contrast MRI. Degree of correlation ( 86.5%) is higher for PA size & PA minimum velocity and also between PA average area & PA average velocity (89.5%). CONCLUSION : MRI Phase contrast flow velocity imaging is a novel non invasive imaging modality that can be used in the diagnosis of pulmonary hypertension by means of measuring flow parameters.
Cipher text policy Attribute Based Encryption for Secure Data Retrieval in DTNs

- Mobile nodes connecting one device to another devices sometimes face some network connectivity problem in common environment. In military environment that is in battle field they should not suffer from network connectivity problem because of confidential data. Disruption-Tolerant Network (DTN) technologies are the solution to overcome network connectivity problems by using external storage nodes. Attribute-based encryption (ABE) gives the way for data delivery securely in Disruption Tolerant Networks. Thus concept of applying ABE in DTNs introduces security and privacy problems with regard to Attribute revocation, Key escrow, Coordination of attributes issued from different authorities. This scheme provides confidential data transformation using CP-ABE in decentrailzed Disruption Tolerant Networks(DTNs). CP-ABE is a scalable cryptographic solution to the access control and secure data retrieval issues. Ciphertext-policy Attribute based encryption (CP-ABE) uses the way of encrypting data that encryptor have to give detail about attribute set and decryptor have to possess such that to decrypt the ciphertext.
Redundant Binary Partial Product for Fused add Multiplier to Optimize the Power

— Many Digital Signal Processing (DSP) applications carry out a large number of complex arithmetic operations. Multiplier takes a important role in the performance of the system, thus by optimizing the multiplier the power and area can be reduced. This paper focus on optimizing the power using redundant binary partial product. This implements a new technique called RB encoding, in which the sum of two numbers and there product is multiplied with the multiplier in Modified Booth (MB) form. The RB encoding is used in multipliers with operand, without increasing the delay of partial product accumulation. It is used for both signed and unsigned Radix-4, which is a parallel multiplier. its An efficient multiplier which reduces partial product by N/2, where N is the number of multiplicand. The proposed FAM unit with RB encoding is coded in Verilog, simulated and synthesized using Xilinx ISE tool. The performance of FAM unit with RB encoding is compared with other existing technique in terms of power consumption and critical path. The proposed FAM unit with RB encoding yields considerable reduction in terms of critical delay and power consumption.
A Novel Datamining Based Approach for Remote Intrusion Detection

— Today, as information systems are more open to the Internet,attacks and intrusions are also increasing rapidly so the importance of secure networks is also vital. New intelligent Intrusion Detection Systems which are based on sophisticated algorithms are in demand.Intrusion Detection System (IDS) is an important detection used as a countermeasure to preserve data integrity and system availability from attacks. It is a combination of software and hardware that attempts to perform intrusion detection.In data mining based intrusion detection system, we should make use of particular domain knowledge in relation to intrusion detection in order to efficiently extract relative rules from large amounts of records.This paper proposes boosting method for intrusion detection and it is possible to detect the intrusions in all the Systems, without installing the Software in client System (like client-server) via Web service (Apache tomcat) by using the ip address of the client system.
Semantic information retrieval from heterogeneous environments

— While most enterprise data is unstructured and file based, the need for access to structured data is increasing. In order to reduce the cost for finding information and achieve relevant results there is a need to build a very complex query which indeed is a serious challenge. Data volumes are growing at 60% annually and up to 80% of this data in any organization can be unstructured. In this paper we focus on describing the evolution of some modern ontology-based information retrieval systems. Further, we will provide a brief overview of the key advances in the field of semantic information retrieval from heterogeneous information sources, and a description of where the state-of-the-art is at in the field. Finally, we present and propose a novel use of semantic retrieval model based on the vector space model for the exploitation of KB (Knowledge Base) to enhance and support searching over robust and heterogeneous environments.
Categorization of Search Results using Feedback Sessions

— Different users may have different user search goals for an ambiguous query while submitting it to search engine. In information retrieval, inference and analysis of user search goals are very useful. It can help to improve search engine relevance and user experience. So, for inferring user search goals, feedback sessions are used. Feedback sessions are constructed from search engine query logs. It consists of both clicked and un-clicked URLs and it reflects information needs of users easily. It clearly shows what a user requires and what does not care about. To describe the feedback session Pseudo documents are generated. Pseudo documents are used to approximate the goal texts in user minds. By using pseudo documents user search goals are discovered and displayed with some keywords for categorizing search results.
Survey on Parallel Hybrid Multigroup Co-clustering Using Collaborative Filtering Model

: Recommendation systems play a vital role in filtering and modifying the preferred information. Recommender systems are classified into three categories such as collaborative filtering, content-based filtering and hybrid filtering. Generally Collaborative filtering is a technique which typically utilized to construct personalized recommendations on the internet but it suffers from data sparsity and scalability problem. Few websites that uses the collaborative filtering technology include Amazon, Netflix, iTunes, IMDB. The majority of the clustering-based Collaborative Filtering model utilizes only historical rating information in the clustering procedure but disregard other data resources in recommender systems such as the social connections of users and the correlations between items.This paper presents a survey of existing techniques with the novelties highlighting the need of personalized recommendation techniques based on clustering and collaborative filtering. In proposed system we generate recommendations in an effective manner with comparatively better accuracy and least cost by using parallel and distributed approaches with the heterogeneous information sources to overcome the problems like data sparsity and scalability which are very common in recommender systems.
Maximum Power Point Tracking Wind Turbine Based on FOC Control of Variable Speed Axial Flux Permanent Magnet Synchronous Generator

This paper presents an innovative design of a lowspeed, direct-drive axial flux permanent magnet generator (AFPMSG) for a wind turbine power generation system that is developed using mathematical and analytical methods, dynamic model of the axial flux generator developed using Simulink / MATLAB. A maximum power point tracking (MPPT)-based FOC control approach is used to obtain maximum power from the variable wind speed. The simulation results show the proper performance of the developed dynamic model of the AFPMSG, control approach and power generation system.
Three Level Security Technique of Image Steganography with Digital Signature Framework

— Steganography technique is more popular in recent years due to high level security involved in transferring the data. In image stegnography scheme the secret message is hidden inside a digital image by using different techniques. Least significant bit (LSB) is the commonly used technique foe embedding the information inside a cover image. A three level security scheme has been developed by using MATLAB with digital signature framework. The developed technique has a simpler approach as compared to other complex technique involved in secure transmission of data. The results are analyzed for different images using Peak Signal to noise ratio (PSNR) and the results reveals that the average PSNR value is enhanced by 15.83% compared to the reference values.