Miracle-dz/UniFAR-FTUs huggingface dataset:
Effective Utilization of Renewable Energy Sources To Generate and Control Power in Ac Isolated Micro Grid

This paper presents new technology to regulate the power from energy resources existing on our requirements in micro grid (or) load balances. Power control by using battery banks in existing power electronic converter is employed to form AC grid GFC (grid former converter), associate energy source supported to a wind turbine and solar energy. To generate the power with its respective power electronics converter GSC (grid supplier converter) and therefore utilizes by power consumers. The main objective of this proposed strategy is to generate the power from wind turbine (WT), photovoltaic (PV) generation and to regulate the power distributed through battery banks by keeping the ESS from over charge (or) over discharge conditions through regulating the voltage terminals by controlling the power generated by wind and solar. This is done without using dump loads or any physical communication among the power electronic converters or the individual energy source controllers. The electrical frequency of the micro grid is used to inform the power sources and their respective converters about the amount of power that they need to generate in order to maintain the batterybank charging voltage below or equal its maximum allowable limit. The primary merit for proposal method is to make the generated power at normal cost for military purpose and development progress.
Indian Herbal Leaf Identification using Artificial Intelligence Approach

Inflation has alleged in side effects, deficiency in handling limited prolonged diseases, towering cost of the modern drugs has reintroduced the public interest in complementary and alternative drugs that is herbal remedies. Many foreign countries are fruitful in endorsing its own traditional therapies using herbs which have brought tremendous awareness among its people. India is still not tapping the full potential of its herbal remedies. Ayurveda, Traditional Indian Medicine (TIM) though active from long ago lacks in systematic research. Usage of the precise plant extracts is vital in Ayurveda treatment but many species are at risk of extinction due to lack of awareness and environmental degradation. Even today, identification and classifications of Indian medicinal plants are performed manually by experts who are few in number. Computer vision, patter recognition and image processing algorithms along with the availability of inexpensive camera offer various combinations of feature detection methods with different classifiers that can be used in building an automatic identification system for herbal leaves using leaf images and reveal its associated information to gain knowledge. While a botanist could be content with this system for recording a plant species discovered in its natural habitat by retrieving its associated information, the system aims in providing knowledge to every common man including hikers, campers, etc
Review of Fingerprint Recognition methods using Extended Features

— This paper presents review of fingerprint recognition methods based on different extended features, compared to different latent and partial fingerprint database. Also, techniques used to extract features of a fingerprint as well as matching them with the database are specified in this paper. Some of the surveyed research papers have used traditional approach like minutiae based identification techniques and verification techniques. Whereas the other articles have used novel methods which combines minutiae and other extended features. To design and develop a fingerprint feature extraction method and to match them using pixel details and extended features, first of all fingerprints enhancement and thinning is done. Finally features are extracted and estimated. These estimated features are used to match with the template database using matching algorithm. The features are unique, which allows a single feature to be suitably matched with high possibility against a large database of features.
Various Techniques for Facial Detection and Expression Classification

— The facial expression is important in social interaction and social intelligence. Automatic recognition of facial expression is most important component in human-machine interface. This field contains various applications like user authentication, person identification, video surveillance, information security, data privacy etc. This paper includes the survey of various facial detection and expression recognition techniques.
Physiological, Biochemical and Molecular Response of Plants Against

Heavy metals pollution to water and soils due to anthropogenic activities are threats to living organisms which needs to be tackled with a new emerging technology, referred as phytoremidiation, offers a cost environmental friendly way for cle accumulates or converts it to non toxic forms, but that incurred serious physiological and metabolic constraints in plants. This review is focused on promising aspects of physiolog mechanism of plant response towards heavy metal stress.
A Conceptual Comparison of Artificial Bee Colony and Particle Swarm Optimization

: For the last two decades, nature inspired metaheuristic algorithms have shown their ubiquitous nature in almost every aspect, where computational intelligence is used. This paper intends to focus on the comparative study of two popular and robust bio mimic strategies used in computer engineering, namely Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC). According to the results, PSO outperforms ABC.The performance comparison of both algorithms is implemented in the form of problem specific distance functions rather than an algorithmic distance function. Also an attempt is taken to examine the claim that PSO has the same effectiveness of finding the true global optimal solution as the ABC but with significantly better computational efficiency, which means less function evaluations.
Retrieval of Large Scale Images and Camera Identification via Random Projections

-Retrieving of large size images from a huge collection is a relevant and a difficult task. And matching those images with the source camera is tedious and time consuming. There are Sensor imperfections in the form of Photo Response Non Uniformity (PRNU) patterns is a well-established fingerprinting technique to link pictures to the camera sensors that acquired them and can be used for this purpose, but due to noise like characteristics present in them and large size of PRNU makes it difficult to compress the objects and increases the complexity of the matching operational tasks. Thus an efficient technique is been proposed called as Random Projections for the retrieval of images on a large scale which not only compress the images but also match them according to the source camera through which they have acquired. Circulant matrices are used in this technique to address the complexity of implementing Random Projections
Survey paper on Human Humiliation Detection based on Human behavior Analysis

 Abstract — We are describing social issues solution regarding crimes related to humiliation of human. Today we are under the threat of many types of crime scenes among which terrorism and rape cases are the most important and critical issues that we have to worry about. The most common thing among these entire crime scenes is the aggression inside a human being that will lead to more disastrous results. And this paper is about detecting and analyzing the human aggression by using some of the constraints of human behavior. We are not using any of the wearable sensors as it may increase the cost, instead implementing firstly image processing on the various human poses that can be still pictures or sequence of pictures and then secondly applying Bayesian Network to identify the future actions of the human. We will perform visual surveillance task that will then compare the interactions between multiple people and compare the aggression rate of all of the people in that particular scenario and send it back to the Bayesian network to analyze it and take appropriate actions based on the future predictions of the human behavior. These can be applied to the Unmanned Aerial Vehicles equipped with the visual surveillance system to perform all the actions by learning behavior of human in an interaction and apply appropriate action on the most aggressive human being among the people in the scenarios. Unlike the mainstream video surveillance approaches, the proposed method does not rely on background subtraction or dynamic features and thus allows for action recognition in still images.
A Survey of Antibiotic Use In Respiratory Tract Infections In A Community In Zaria, Kaduna State

Background: Appropriate use of antibacterial drugs is important to effect cure in infections and to forestall resistance development. Objectives: This study was undertaken to assess the use of antibiotics for respiratory tract infections (RTI) among respondents in a community in Zaria, Nigeria. Methods: Random sampling of individuals within Zaria was done, and consenting participants were recruited. A total of 440 participated in the study. A forty-two item questionnaire was self-administered to majority of the respondents who were literate while those that were not literate were assisted in filling out copies of their questionnaire. Results: Over 90% of the study population was between 12-50 years, of which 60.6% reportedly had an RTI in the previous six months. Females were more likely to have an RTI (p<0.05 Chi square), while living conditions did not affect the development of RTIs. About 40% of respondents had laboratory investigations before antibiotic therapy. Total and partial affordability was reported by 72% and 18.9% of respondents respectively, with only about 20% obtaining their drug from the hospital. However, only about 50% were counselled about their medication. While majority of respondents obtained their antibiotics from community pharmacies, about 40% of patients were not asked about previous medication for a recent infection. Conclusions: This study shows that rational antibiotic use is not fully practised, with large numbers of patients receiving empirical therapy. Improvement in counselling and discouragement of patronage of nonapproved drug outlets will improve antibiotic utilization. Studies into the factors responsible for increased female risk for RTI are advocated.
1232-1238 Ram chandra 341

INTRODUCTION During the last half of the 20th century, the global environment has become contaminated with a number of persistent, fat-soluble chemical contaminants, commonly referred to as the persistent organic pollutant (POPs). Contamination of the global environment with a complex mixture of POPs has resulted from deliberate discharges and applications as well as from the inadvertent formation of byproducts of incomplete combustion or industrial processes. The POPs are a group of chemical compounds originate from different anthropogenic activity but have some common characteristics like semi-volatility, lipophilicity, bioaccumulation that is in large quantity resist photolytic, biological and chemical degradation over a reasonable period of time. They persist in the environment for a long time, being also able to longrange transport and to have potential significant impacts on human health and the environment . It is halogenated and characterized by low water solubility and high lipid solubility, due to this if these compounds have been continuously used in large quantities leading to bioaccumulation and biomagnifications in fatty tissues across the globe, including remote areas such as the Antarctica. In order to concentrate in organisms in the environment, POPs must also possess a property that results in their movement into organisms. This property is called lipophilicity or a tendency to preferentially dissolve in fats and lipids, rather than water. This tendency is leading to POPs to pass readily through the phospholipids structure of biological membrane and accumulate in fat deposits. Lipophilicity also results in biomagnifications through the food chain . POPs are readily absorbed in fatty tissue, where concentrations can become magnified by up to 70,000 times the background levels . The importance of persistent environmental chemicals like pesticides was first identified by Rachel Carson an American courageous woman and scientist in the early 1960s with the publication of her seminal work in her classic book “Silent Spring” . POP substances often have three common characteristics: (i) one or more cyclical ring structures of either aromatic or aliphatic nature, (ii) a lack of polar functional groups, and (iii) a variable amount of halogen usually chlorine. Certain key properties of chemicals control their fate in the environment and if these properties are known, then environmental chemists can make predictions about their fate and behavior. These properties include aqueous solubility, vapor pressure, partition coefficients between water: solid and air: solid or liquid, and half-lives in air, soil and water.
Decision-Table Based Testing

Software testing is a method of assessing the correctness of functions implemented in software program. There are mainly two approaches to identify test cases in software testing. They are structural testing(white-box testing) and functional testing(black box testing). In this paper Decision Table-Based Testing is carried out as a functional test design technique to determine the test cases for complex logic in software. It is ideal testing because it generates few number of effective test cases.
The Probabilistic Aspect of Chronic Diseases Based on Mining Model for Drug Review

— Recent surveys show that in-line comments, blogs and forums of chronic diseases and drug are becoming increasingly important as the patient support resources. Extracting information from these major organizations of the text was useful and challenging. We have formulated fertility the probabilistic aspects of mining model (Mode) to identify aspects/thematic class label or clear the meta-information protection orders. As with many other non-supervisory approach or supervision of the approach, the mode with unique features that it will focus on aspects related to the find a class, rather than to find all the classes at the same time in each execution. This will reduce the chances of a combination of the concepts of different categories like COPD, Dementia and Diabetics. Therefore, the various aspects are more easily is interpreted. Various aspects are also found possessions that they are the differences between classes: they can be worn to differentiate between a class commencing other classes. The experimental results of the drug review of three different drugs in display mode is the ability to discover superior than other frequently used method Aspects Derived from Different Algorithms, when calculated by average points wise mutual information and disaggregated for correctness is less than the PAMM (Probabilistic Aspect Mining Model) algorithm.
REACTANT FLOW CONTROL OF PEM FUEL CELL SYSTEM FOR ITS OPTIMAL PERFORMANCE

In this project, a Proton Exchange Membrane Fuel cell (PEMFC) system which works on hybrid approach employing Maximum Power Point Tracking (MPPT) and fuel flow control to trim down fuel wastage is presented. In the proposed system both Perturb & Observe (P&O) MPPT algorithm and fuzzy logic based MPPT algorithm are implemented for various input conditions like different temperature and different membrane water content of the fuel cell and compared. Simulations show the output power of fuzzy logic based MPPT technique model provides better performance than the conventional P&O algorithm based model. Also the fuel controller is implemented for the fuzzy logic based model and the required amount of input fuel to the fuel cell is obtained. All the simulations are done using Sim Power System blocks of MATLAB SIMULINK software.
Evaluating the Effect of Historical Climate Change on Extreme Stream Flow Cases of Gumara Watershed, Upper Blue Nile Basin, Ethiopia

Climate and land cover change are very important issues in terms of global context and their responses to environmental and socio-economic drivers. The dynamic of these two factors is currently affecting the environment in unbalanced way including watershed hydrology. The change of observed steam flow is the effect of the combined change of climate and land use land cover of the catchment. In this paper the impact of climate change on stream flow specifically on extreme flow events were evaluated through application of Soil and Water Assessment Tool (SWAT) model in Gumara watershed, Upper Blue Nile basin Ethiopia. The trend of regional climate, like temperature, rainfall and evapotranspiration of the past 40 years in the study area were tested and then the extent of changes has also been evaluated in terms of monthly bases by using two decadal time periods. The period between1973-1982 was taken as baseline and 2004-2013 was used as change study. The efficiency of the model was determined by Nash-Sutcliffe (NS) and Relative Volume error (RVe) and their values were 0.66 and 0.72% for calibration and 0.64 and 1.23% for validation respectively. Both the high and low flows of the catchment have been taken from the simulated stream flow. The high flow has been identified using Annual Maximum (AM) method and the low flow was also identified by using Seven Day Sustained (SDS) minimum annual flow of the river. The impact of climate change was more significant on high stream flow than low flow of the catchment. Due to climate change, when the high flow was increasing by 17.08%, the low flow was decreasing by 6%. The overall results of the study indicated that Climate change is more responsible for stream flow during wet season than dry season. Keywords: Climate, High flow, Low Flow, SWAT, Gumara, Blue Nile.
Int. J. Biosci

Diversity of fermentative microorganisms in the digestive tract of Macrotermes bellicosus and Macrotermes subhyalinus, two species of tropical termites was investigated. Morphological, phenotypic and biochemical parameters were used for this preliminary study. Positive Gram bacteria were revealed on Man Rogosa Sharpe agar MRS and Chalmers agar while sabouraud chloramphenicol agar showed yeasts. Cultural techniques added to the use of API 50 CHL, had allowed the identification of lactic acid bacteria strains of the genera Lactobacillus, Lactococcus and Pediococcus. The API 20 CAUX revealed presence Candida and Cryptococcus only for M. bellicosus worker. These first results highlight the presence of a variety of fermentative microorganisms in the midgut of the two termites. * Corresponding Author: S. Dabonné  sdabonne@yahoo.fr International Journal of Biosciences | IJB | ISSN: 2220-6655 (Print) 2222-5234 (Online) http://www.innspub. net Vol. 3, No. 4, p. 27-35, 2013
CODEN: IJPNL6 FERTILITY EFFECT OF CYCAS CIRCINALIS.L EXTRACT ON MALE WISTER RATS

Infertility is a major public health concern. In Siddha System of Medicine many herbs were used for treating male sexual disorders. The use of herbs remarkable increased over the past few years and researcher now focuses on herbs. The present study was taken to analyze the fertility effect of an herb Cycas circinalis on male albino rats. A total of 18 healthy adult male albino rats were taken and divided into 3 groups with 6 rats in each group. One group of animal was administered orally Cycas circinalis extract (200mg/kg bodyweight) and compared to the normal control and positive control albino rats given testosterone 10μg/kg body weight subcutaneously. Various parameters were compared among the groups and the drug’s efficacy was analyzed. The administration of the drug showed significant positive results in positive control followed by experimental group. Since the synthetic hormonal preparation have grave side effects it’s better to go with herbal aphrodisiacs for better results without any side
Medication adherence in high exacerbation risk groups of COPD

Background: High adherence to medication is associated with reduced risk of hospitalization and mortality in COPD. In this study we aimed to evaluate medication adherence in high exacerbation risk population of COPD; patient group C and D. We evaluated patients9 treatment adherence and its association with exacerbation frequency. Material-Methods: High risk COPD patients from outpatient clinic of a tertiary reference center between January 2015 and September 2015 were consecutively enrolled. Adherence of patients to medications were assessed by 8-Item Morisky Medication Adherence Scale(MMAS-8) and they were grouped as high adherence (HA) and non-high adherence (NHA). Study end-points were differences in exacerbation frequency and number of exacerbations requiring hospitalization. COPD exacerbation was defined as acute worsening of symptoms that require a change in medications. Results: Eighty patients (64.6±1 years old) with a mean FEV 1 ,%pred 37±11 were enrolled. 82.6% (n=66) of the patients had HA, whereas 17.5% (n=14) had NHA. FEV 1 (1.04±0.37 L. vs. 0.82±0.32 L, p=0.054) tended to be higher in HA group. Distrubition of HA and NHA patients were similiar in C and D groups(p>0.05). Overall exacerbation frequency (1,1±1 vs 1,6±1,4, p=0,18) and frequency of exaverbations requiring hospitalization (0,9±1,1 vs 0,5±0,9, p=0,1) did not differ between NA and NHA groups The annual hospitalization rate for exacerbations were 0.33 and 0.58 in both groups, respectively. Conclusion: We observed a relatively higher adherence rate (82,6%) in our study population compared to previous studies. This data suggests that patients with high exacerbation risk are more likely to be adherent to treatment even if they had symptoms controlled.
Stochastic Dynamic Programming in DASH

------------------------------------------------------------------- ABSTRACT --------------------------------------------------------------- Stochastic Dynamic Programming (SDP) is an important class of optimization which has recently been used in the area of dynamic adaptive streaming over HTTP (DASH) . Though DASH is very popular method of video delivery in recent years it is plagued with problems when multiple players share a bottleneck link. Thus, this area has become a very active area of research. Two works which implement SDP in DASH are selected and their performances compared against the Conventional DASH player. It is shown that SDP works well for various network conditions.
A Novel Depth-Check Algorithm to Detect Macular Hole from Optical Coherence Tomography Images

Macular hole is a tear or opening forms in the macula. A macular hole forms a dark spot in the central vision and affects central vision, in this case the vision will be blurry, wavy or distorted. Macular hole commonly affects aged people. Optical coherence tomography enables accurate diagnosis of macular hole. Existing algorithms are also done related to finding layers, but macular hole identification in an accurate manner is still a missing entity. Hence we proposed a fully automated algorithm named “depth-check” for the accurate macular hole detection. The proposed method has six modules in process. First it starts with preprocessing the image, followed by nerve fiber layer (NFL) segmentation. The segmented image is then processed using depth-check algorithm. It will help to identify the macular hole from the optical coherence tomography images. For evaluation, we applied the algorithm on the optical coherence tomography images with the subjects- Central serous chorioretinopathy (CSCR) and Pigment epithelial detachment (PED). By experimentation, it is observed that the proposed algorithm provides 91% accuracy.