Miracle-dz/UniFAR-FTUs huggingface dataset:
-oestrogenic and antioxidant activities of aqueous Laportea ovalifolia on adults rats

Cancer is one of the most life abnormal cells invades and disrupts surrounding tissues. problems in both developed and developing countries. Objective: To evaluate the anti Laportea ovalifolia medicinal plants which could reduce mortality related to prostate cancer. Methods: The evaluation of the anti rats receiving simultaneous daily administration of testosterone and extract of carried out on mature ovariectomized female rats receiving for a week simultaneous daily administration of estradiol and different dos antioxidant activity of simultaneous daily administration of naphthalene and different doses of extract, for 15 days. For its determined as well as the total flavonoid contents of the crude extracts. Also, the DPPH scavenging activity of the plant extract was determined as well as its reducing power. Results: As compare to the 0 mg/kg testosterone primed castrated rat, those treated with the various dose of the plant extract presented either a significant decrease in weights of all their reproductive tissues level of testosterone. For all the plant extract treated ovariectomized rats, similar trends were observed for the relative uteri weight (P (P phenolic and flavonoids compounds respectively and exhibits DPPH radical scavenging ability as well as ferric various doses of the plant extract catalase (in liver, lungs and the serum), SOD (in liver and heart) and peroxidase (in liver, heart, serum and lungs). It also significantly reduces (P heart, lungs, kidneys and serum. Conclusions: Globally, these results denote the anti antioxidant potential of
A Survey on Digital Image Watermarking Techniques and Attacks

Use of digitized media is increasing due to rapid growth of internet and there is a sincere need of copyright protection of digital images. In order to protect ownership or copyright of digital image digital image watermarking techniques have been designed and implemented. The performance of a digital watermarking technique is indicated by the robustness of embedded watermarks against various attacks. Digital image watermarking can be done both in spatial as well as frequency domain. A comparative study of different digital watermarking techniques in spatial and transform domain has been provided in this paper. LSB technique is commonly used in spatial domain based watermarking, and in frequency domain based watermarking techniques, DCT and DWT are commonly used. This paper focuses on the various domains of digital image watermarking techniques and various attacks on watermarked images.
Webpage Recommendation using Keyword Association Link Network and Prediction using CSB Model

: Webpage recommendation plays an important role for understanding about the evolution of the events. But as the huge amount of webpages are generated over the internet day by day, it is difficult for user to understand or to get exact information about the event. This huge amount of webpages may contain uncertain data which may trouble the user while using internet. So In this paper, a method is proposed in which webpage recommendation can be done by constructing Semantic Pyramid. This semantic pyramid consisted of different levels i.e. Theme layer, Backbone layer and Tidbit layer. Here, the main idea is to consider web event as a system composed of different keywords and then by using Keyword Association Link network (KALN) web event representation is done. After that based on that KALN and by using TF for classification the semantic Pyramid is constructed. Thus the proper web link provided to the user. Once the recommendation is done the next step here is the prediction. This prediction of next link can be done when user makes request for various pages/links in his session by using CSB algorithm which works on frequent pattern matching from history of records.
Unfocused Raindrop and Fog Detection

: In the world of increase demand for vehicle the driver is up held by camera based advanced driver assistance system (ADAS) which are a key part for further enhancements in well being and driving solace. Imaging sensors in ADAS are performing well under great climate conditions, their proficiency reduce in unfavorable condition like rain, haze, fog. To handle such optical dangers and to improve data nature of cameras the method aim to detect raindrop and fog from set of images. The project exhibit a novel approach that goes for recognizing raindrops on an auto windshield and fog in surrounding environment utilizing just pictures from an as a part of vehicle camera. In view of the photometric properties of raindrops, the calculation depends on picture preparing techniques to highlight raindrops. Its outcomes can be further utilized for picture rebuilding and vision upgrade and consequently it is a significant apparatus for ADAS.
Performance Improvement Techniques for MapReduce - A Survey

— Enterprises these days acquire huge volumes of data from totally different sources and leverage this information by means that of data analysis to support effective decision-making and supply new practicality and services. The key demand of data analytics is scalability, merely thanks to the vast volume of information that requires to be extracted, processed, and analyzed in a very timely fashion. Arguably the foremost widespread framework for modern large-scale data analytics is MapReduce, in the main thanks to its salient features that embrace scalability, fault-tolerance, simple programming, and flexibility. However, despite its deserves, MapReduce has evident performance limitations in miscellaneous analytical tasks, and this has given rise to a major body of work that aim at up its potency, whereas maintaining its fascinating properties. This survey aims to review the state of the art in improving the performance of MapReduce.
Random Way Point Generation In Constrained Environment

Integrating Unmanned Aerial Vehicles (UAV) into National Airspace is the need of the hour. Operational environment of UAV is primarily in Non – Towered sectors. Though, UAV flight plans need not be logged with the Director General Civil Aviation (DGCA), Govt. of INDIA. Efficient route planning can be performed with known Navigation Points along the path. The constrained Non – Towered Environment; do not have the luxury of known navigation points. Square Unit distribution of the route with minimum separation distance or cells is employed in generating random navigation points. The algorithm proposed employs exponential distribution scattered along with modified visibility graphs in the operable domain.
Mixed Noise Removal Method Based on Sparse Representation and Dictionary learning: WESNR

Noise removal is the fundamental problem in image processing.Knowledge of Noise Distribution is important in image denoising. Removing mixed noise from an image is since a difficult task as the characteristics of different types of noises are different.The commonly experienced mixed noise is impulse Noise(IN) together mixed with additive White Gaussian noise(AWGN). Various mixed noise removal methods are available but they are detection based methods. These methods first of all find the loacation of IN pixels and then remove the other noises. But these methods produce many artifacts when the density of mixed noise is high. Here, we introduce a very effective method named as weighted encoding with sparse nonlocal regularization (WESNR). In this method there is not impulse pixel detection and AWGN removal performs separately but it performs this both task in unified framework.In WESNR impulse pixel detection by weighted encoding is done to deal with IN and AWGN simultaneously.Nonlocal self-similarity and sparsity is combined in to a regularization term.WESNR achieves best mixed noise removal performance than any other methods.
Improved Focused Crawler Using Inverted WAH Bitmap Index

— Focused Crawlers are software which can traverse the internet and retrieve web pages by hyperlinks according to specific topic. The traditional web crawlers cannot function well to retrieve the relevant pages effectively. The focused crawler is a special-purpose search engine which aims to selectively seek out pages that are relevant. The main characteristic of focused crawling is that the crawler does not need to collect all web pages, but selects and retrieves only the relevant pages. So the major problem is how to retrieve the maximal set of relevant and quality pages. To address this problem, we have designed an Interactive focused crawler which calculates the relevancy of web page. It calculates the URL score for identifying whether a URL is relevant or not for a specific topic. The Interactive Focused Crawler proceeds by gathering pages related to the seed set by using techniques like keyword extraction and search engine query and link neighbourhood expansion. These collected pages are then prompted to the user in a ranked order that facilitates quick elimination of negatives. The user then provides feedback and helps the baseline classifier to be progressively induced using active learning techniques. Once the classifier is in place the crawler can be started on its task of resource discovery.
Predicting the Risk of Heart Failure with EHR Sequential Data Modeling

: coronary contamination is a savage infection that massive hundreds of people across the world encounters. at the same time as thinking about downfall costs and massive variety of those who encounters coronary illness, it's far located how important early assure of coronary infection. standard technique for studies isn't always extraordinary for such a sickness. operating up a recuperation investigation shape trouble to ai for desire for coronary disease offers extra careful give up than stylish manner. in this paper, a coronary ailment desire structure which uses faux neural framework backpropagation figuring is proposed. 13 scientific capabilities were used as dedication for the neural framework and sooner or later the neural framework modified into installation with backpropagation figuring to assume nonappearance or proximity of coronary sickness with accuracy of ninety five%.
USING TRANSFER LEARNING FOR VIDEO POPULARITY PREDICTION

Knowledge gained from social streams can be used to address many multimedia problems which cannot be solved by using traditional multimedia techniques alone. Some portion of videos in video portals exhibit sudden (bursty) rise in popularity, an effect which is not captured by video domain features alone Cross domain real-time transfer learning framework is used which utilizes knowledge from social streams (e.g., Twitter) and improve popularity prediction in the video domain. OSLDA model is used to detect topics from social streams [3]. Social Transfer algorithm is used for classifying videos with topics which is then used to calculate the social prominence and finally leading to the improved popularity prediction in the video domain. The framework has the ability to scale with incoming tweets in real time.
Performance Analysis of a Solar PV based Grid Tied Multilevel Inverter Scheme for Linear and Non Linear Load

This paper presents the performance of Solar Photo Voltaic (SPV) based grid connected multilevel inverter scheme having linear and nonlinear load connected at the Point of Common Coupling (PCC). Initially the analysis was carried out for the complete inverter circuit resulting in a slightly higher harmonics in PCC voltage and current, which can be further reduced to a lower value by connecting a filter. For a linear RL load, due to the filter, the THD in PCC voltage is reduced from 13% to below 5% (IEEE standard) and the THD in grid current decreases to below 5% from 14.8%. Similarly for a nonlinear load at PCC, a Diode Bridge, the harmonics in PCC voltage and the grid current can be further reduced to the lower level by connecting filter. The results obtained from simulation using SIMULINK/MATLAB Software are tabulated for SPV based grid tied system and also explained graphically.
Application of Exergy Analysis for the Aircraft Environmental Control System

Exergy Analysis has found application in many applications of component and system optimization. It combines the use of the first law of thermodynamics that allows to take account of all types of energies to satisfy the conservation of the total amount of it in any process with the second law that gives the directionality and the quality of the energy and its degradation. The application of exergy methods may lead to more effective methods for compact heat exchangers at the component level and at system level for a lower life cycle cost. Aircraft Environmental Control System (ECS) being the primary consumer of the secondary power developed by the engine, is yet to utilize the full potential of the exergy analysis for the optimization of its components and the configurations. This paper surveys the work done in application of the exergy analysis for the design and development of the Aircraft ECS till date.
Evaluating Optimal Process Parameters in Dissimilar Friction Stir Welding of Al Alloys

This study is made to determine the near optimal process parameters ( speed, feed, axial force) of Friction Stir Welding (FSW) of dissimilar aluminum alloys AA 6262 and AA7075 using gray relational analysis by simultaneously considering multiple output parameters tensile strength (UTS ) and hardness (VHN). Experiments were performed with three process parameters such as tool rotational speed, weld speed and axial force considering three levels of each. All the possible combinations are used for the experimentation. Optimum process parameter combination of the FSW of dissimilar aluminum alloys was obtained via gray relational grade obtained from the gray relational analysis. Confirmation experiment has been conducted to validate the optimized parameters. The predicted and initial parameters have the better aspect ratio. The optimal process parameters were identified in order to find the quality of the welded specimens.
Control of a Camless Engine Valve Actuation System

This paper focuses on the motion control of a camless engine valve actuation system during both steady state and transient state engine operation. The precise tracking performance obtained using controllers based on the internal model principle for the constant speed case motivates the investigation under engine speed transients. Modelling of the camless engine valve actuation system is performed using linear time varying differential equation method. The system model is simulated in Matlab software using step input. A PID controller is used to track the valve motion trajectory during steady state operation and transient state operation of the engine. Advanced robust controllers can be used to improve the performance of the system.
A Novel Counter System against Power Analysis Attacks

— Many cryptographic algorithms are vulnerable against various attacks including side channel attacks. A side channel attack causes a continues leakage of information through the physical structure of a cryptosystem. For example, a large delay in information retrieval, heavy power consumption, which can generate damage to the system. This paper introduces a compiler to protect cryptographic algorithms against various attacks by executing certain suits of tasks automatically. Firstly the compiler detects the most sensitive instructions which leak the most information during side channels attack. This process is accomplished either by static or dynamic analysis. In dynamic analysis, metric in terms of information theory is acquired over the power traces during the completion of the input program, while in static analysis, as information leakage starts implying in a loss of security, the compiler produces a batch of instructions with a software countermeasure such as random precharging or Boolean masking. This software protection will results in significant overhead in terms of time and space complexity of cryptographic algorithm. The proposed compiler is crosschecked against two block ciphers algorithms, AES and Clefia; and experimentally it is clear that the compiler offers best productivity for cryptosystem developers to protect their implementations from side channel attacks.
Hydro-geophysical Investigation Using Seismic Refraction Tomography to Study the Groundwater Potential of Ahmadu Bello University Main Campus, within the Basement Complex of Northern Nigeria

The investigation was carried out at the built up area of Ahmadu Bello University, main campus samara, Zaria. In order to map the ground water potential structure of the area a seismic refraction tomography method was used. The compressional seismic wave (P-wave) velocity variations provided information about the rock distribution in the subsurface. A close interpretation of the seismic refraction tomography model shows a reliable image of the velocity layers from which the saturated layers are delineated. Six profiles of 5 m geophone spacing were carried randomly around the study area. The results obtained from each of the profile highlighted the presence of structure(s) that can support underground water and hence the ground water potential can be determined. Keywords: Tomography, lithology, velocity layer, seismic wave, staking.
Evaluation of the Impacts of Eucalyptus Plantation on Macro invertebrate Assemblage in the Aquatic Environment, South Western Ethiopia

In Ethiopia, ecological diversity and varied climatic conditions have been explained to a large extent as result of variable topography composition [1,2]. Water quality change and variable topography is increasingly becoming most of the critical domestic and global environmental policy concerns [3]. Ethiopia is threatened by environmental change and exposed to frequent drought, flooding, and rising of average temperatures. Therefore, as environmental pollutants in the glob such as sedimentation, fertilizers, sewage, runoff, erosion, dissolved oxygen, PH, temperature, decayed organic materials, pesticides, toxic and hazardous substances, oils, grease and other chemicals, detergents, heavy metals and litter of vegetations [4]. These are the major causes of destruction of water quality of rivers and streams [5,6]. Water quality has Eucalyptus tereticornis. Eucalyptus globulus and Eucalyptus grandis are the major species planted in the highlands of Ethiopia. Eucalyptus growing in Ethiopia is mostly confined to the highlands, where there are suitable moisture and temperature regimes [7]. Plantations of Eucalyptus grandis are known to negatively affect aquatic systems [8]. The replacement of the native vegetation by Eucalypt monocultures leads to changes in the stream hydrology, organic matter dynamics and litter quality; all factors have been concerned in the scarcity of macroinvertebrate communities in streams [9]. The presence of phenolic compounds in the media or adsorbed to alder leaves surface, lowering their nutritional value, may have been responsible for reducing or suppressing (according to the leachate concentration) consumption [10].
LONG TERM IMPLICATIONS OF CLIMATE CHANGE ON RURAL DEVELOPMENT IN NIGERIA

This paper examined the effects of climate change on rural development in Nigeria. In this paper, rural development was measured by the percentage of the population with access to improved water supply. On the other hand, the measures of climate change employed in this paper are precipitations, variations in temperature and per capita carbon dioxide emissions. Data on the variables were sourced from the World Development Indicators (WDI) and the analytical techniques include descriptive statistics, unit root test, Hansen cointegration test and Fully-Modified Least Squares (FMOLS). The Kwiatkowski Phillips Schmidt and Shin (KPSS) unit test results show that the variables are mixed integrated with combinations of I(0) and I(1). It was observed from the Hansen test for cointegration that the test statistic with probability value (0.192) indicates that the variables are cointegrated. This suggests that the null hypothesis of parameter stability cannot be rejected. It was found from the estimated cointegrating regression model that precipitation and temperature are significant in influencing changes in access to improved water supply in rural Nigeria. Whilst precipitations negatively influenced access to rural water supply, changes in temperature enhanced rural water supply. The negative effects of precipitations on rural water supply could be attributed to the flooding usually associated with precipitations which tend to contaminate the various water sources in the rural areas. On the other hand, per capita carbon dioxide emissions do not significantly affect access to improved water supply in rural area. Given the findings, it was recommended for policy makers to adopt proactive and innovative approaches by synergizing with the relevant stakeholders to significantly address the problem of climate change and improve opportunities for rural development.
Reputation-Based Security Protocol for MANETs

: Mobile Ad-hoc Network is huge area for research with practical applications. It is a infrastructureless and self-organized network, vulnerable because of its characteristics such as open medium, distributed cooperation and it is difficult to predict the topology. In general, Routing security in MANETs appears to be a challenging task. In this article we study the routing security issues of MANETs, and analyze in detail — the “Blackhole” attack. We come with distributed reputation mechanism that improves security in MANETS. Some optimization to the current reputation scheme used in MANETs are one is Selective Deviation tests and second is Adaptive expiration timer that aims to deal with congestion and quick reputation convergence. Cryptographic mechanisms such as Digital signature and hashing technique are used for the authentication of the packets in network. We design and build our proposed protocol over existing AODV and test in Network Simulator-2 in the presence of variable active Black hole attack. By using proposed Secure AODV (RSAODV) protocol we achieve increased throughput by decreasing packet delivery delay and packet drop.
A Review WiMAX in Orthogonal Space Time Block Coding

: MIMO-OFDM technology is a combination of multiple-input multiple-output (MIMO) wireless technology with orthogonal frequency division multiplexing (OFDM) that has been recognized as one of the most promising techniques to support high data rate and high performance in different channel conditions. The purpose of this research work is to implement of Wi-MAX system for MIMOOFDM receiver. To improve system performance of Wi-MAX Radio Technology communication, using transmit and receive mode and with suitable modulation technique. We have focused on developing the six symbol detection algorithm of WiMAX system for the MIMO-OFDM Receiver. To find best signal detection technique for WiMAX system in MIMO-OFDM environment. MIMOOFDM system gives BER that we required for next generation wireless system i.e. WiMAX and also gives high data rates that can be useful for many wireless systems.