Miracle-dz/UniFAR-FTUs huggingface dataset:
Combined Approach of PNN and Time-Frequency as the Classifier for Power System Transient Problems

The transients in power system cause serious disturbances in the reliability, safety and economy of the system. The transient signals possess the nonstationary characteristics in which the frequency as well as varying time information is compulsory for the analysis. Hence, it is vital, first to detect and classify the type of transient fault and then to mitigate them. This article proposes time-frequency and FFNN (Feedforward Neural Network) approach for the classification of power system transients problems. In this work it is suggested that all the major categories of transients are simulated, de-noised, and decomposed with DWT (Discrete Wavelet) and MRA (Multiresolution Analysis) algorithm and then distinctive features are extracted to get optimal vector as input for training of PNN (Probabilistic Neural Network) classifier. The simulation results of proposed approach prove their simplicity, accurateness and effectiveness for the automatic detection and classification of PST (Power System Transient) types.
Performance Analysis of Video Conferencing over Various IPv4/IPv6 Transition Mechanisms

Summary IPv6, the new version of the Internet Protocol IP developed by the Internet Engineering Task Force (IETF), has many advantages, including addressing, auto-configuration, mobility, quality of service, and security. In addition, the network infrastructure and the majority of Internet services are currently available on IPv4, and therefore it is impossible to migrate from IPv4 to IPv6 in a single day. IPv4 and IPv6 have to coexist for a long time, and the deployment of IPv6 can only be done gradually. Several transition mechanisms were developed and can be used for this reason. This research examines and evaluates three transition mechanisms, namely the dual stack, the manual tunnel, and the 6to4 automatic tunnel on a real-time application (video conferencing) using the network simulator OPNET Modeler. Performance parameters such as delay, delay variation, and packet loss are measured for these transition mechanisms. This research showed that the dual stack transition mechanism gave better network performance than the tunneling mechanisms.
Effect of Antibacterial agents for treatment of peri-implantitis in vitro against Aggregatibacter actinomycetemcomitans

Bacteria present on implant surface may lead to an inflammation of the peri-implant mucosa, and, if left untreated, the inflammation spreads apically and results in bone loss, a process that has been named peri-implantitis (Garcia et al., 1998). So, the removal of bacterial biofilms seems to be a prerequisite in the therapy of peri-implant infections (Schwarz et al., 2005). Periodontal diseases Prevention is often based on plaque control. The aim of traditional dentistry is based on the therapy of oral diseases. During the previous studies, great progress has been made in the field of oral microbiology, particularly as it relates to diagnosis. Some of this obtained knowledge can already be used in the ISSN: 2319-7706 Volume 3 Number 10 (2014) pp. 510-518 http://www.ijcmas. com
Crack Detection Method on Spinal Canals Automatically

Crack Detection on spinal canal is important in many medical diagnosis and clinical analysis. For detecting the crack on the spinal canal we want to segment our spinal canal from a CT image. For that a segmentation method is also needed here. Here proposes a segmentation method and hence by detecting the crack on the spinal canal. Segmentation of spinal canals have a great role in many medical fields. Spinal canal is one of the best way used to diagnosis and analysis. Accurate segmentation of the spinal canals in computed tomography (CT) images is an important task in many related studies. Many research and clinical studies require the automatic segmentation of the spines, which is capable of facilitating disease diagnosis, treatment, and statistical analysis/evaluation. For example, the segmentation of the spine provides spatial reference to locate and identify other neighbouring anatomical structures in abdomens and chests, thus contributing to the understanding of the full-body scan essentially. In terms of image registration, the segmented spines provide important features that are helpful to the correct alignment of corresponding anatomical structures across individual subjects. Furthermore, it becomes easier to conduct disease-oriented analysis given the segmented topologies/shapes of the spines. In the meantime, based on the segmentation of the spinal canal, the entire spinal cord can easily be delineated, making it possible to count radiotherapy dosages which are crucial to the normal functions of the nerve tracts. Segmented spinal canal is then analysed to detect any crack is present on the surface.
CHARACTERIZATION AND EFFECT OF BIOCHAR ON NITROGEN AND CARBON DYNAMICS IN SOIL

In the current study the biochar material was produced by the indigenous pyrolysis of prosopis wood material under high temperature and characterized. The impact of biochar on carbon and nutrient dynamics in soil was examined by conducting a laboratory closed incubation experiment. The biochar produced from prosopis was neutral in pH with an exchangeable acidity of 49 mmol kg. The cation exchange capacity was 16 cmol kg. It had relatively higher potassium (K) content than nitrogen (N) and phosphorus (P). The carbon content was very high (940 g kg). One of the major characteristics of biochar that makes it attractive as a soil amendment is its high porous structure, potentially responsible for improved water retention and increased soil surface area. Upon incorporation of different rates of biochar in a soil (pH 8.42) the pH decreased up to 7.92 during incubation; whereas, the cation exchange capacity (CEC) of soil was found significantly increased due to biochar addition. The soil organic carbon (SOC) markedly increased with an increase in rate of application of biochar, which was further increased during the 90 days of incubation. This suggests that the biochar has great potential for carbon sequestration in soil. While marked increase in soil microbial biomass carbon and humic & fulvic acid fraction of SOC was evident during incubation, there was not much change in water soluble organic carbon due to biochar incorporation. The mineral – N, comprising of ammoniacal nitrogen (NH4-N) and nitrate nitrogen (NO3-N), concentration has shown significant reduction when different rates of biochar were added to soil. Increase in the rate of application markedly reduced the concentration of both NH4-N and NO3-N. During incubation further decrease in the concentration was observed. The results suggest that the carbon and nutrient dynamics in soil affected due to biochar incorporation may have a significant role in the reduction of GHGs (particularly CO2 and N2O) emission from soil. Further research on the effect of biochar on GHG emission is in progress.
Intelligent Fingerprint Recognition System for Comprehensive Student Information Using MATlab

: In this paper we propose a system that eases the whole process of taking attendance and maintaining its records in an academic institute. Managing people is a difficult task for most of the organizations, and maintaining the attendance record is an important factor in people management. When considering academic institutes, taking the attendance of students on daily basis and maintaining the records is a major task. Manually taking the attendance and maintaining it for a long time adds to the difficulty of this task as well as wastes a lot of time. Designing a better student information system so that, records be maintained with ease and accuracy in organizations. The finger print is cheaper and easy to implement compared to other biometrics technology. The biometric identification methodology that uses digital imaging technology to obtain, store, and analyze fingerprint data is used in this system. The method Used for fingerprint identification technology is minutiae feature extraction using back propagation algorithm. To handle large finger print database Artificial Neural Network (ANN) is used.
The Relationship between Activity Based Costing, Perceived Environmental Uncertainty and Global Performance

The aim of this paper is to present the main results of an empirical study done in Morocco and attempts to highlight the impact of the perceived environmental uncertainty on the activity based costing implementation and its performance according to the perceived environmental uncertainty. Data were collected from 62 Moroccan firms, operating in different sectors, via a questionnaire survey. Descriptive statistics, logistic regression and Student's ttest for a difference in means were used to analyse data. The results showed that 12.9% of the responding companies used ABC. The results using logistic regression indicate that the PEU influences significantly and positively the use of the ABC. Also, we found that the management accounting system based on ABC method results in a better performance for enterprises that have adopted it. Finally, we demonstrated that the firms operating in an uncertain and dynamic environment have an interest to adopt this new method of the management accounting, but the firms operating in a certain and stable environment are indifferent between adopting and not adopting this method. This research adds to the understanding of the factors explaining the adoption of management accounting innovations such as ABC, basically in a new context like Morocco. The context of the study and the characteristics of the innovation are important factors in explaining its adoption. These two factors must be taken into account when choosing a costing system. This type of work is almost absent in African countries. Previous research has studied perceived environmental uncertainty in the context of innovations other than ABC. The outcomes of the study are relevant to the literature on both ABC implementation and performance of ABC, since they determine that the use of ABC results in improving in firm’s performance.
THREE DIMENSIONAL INDICES OF WOMEN EMPOWERMENT AND FERTILITY IN INDIA

This study is concerned with the measurement of three types of indices related to women empowerment in India on the basis of three specific dimensions namely economic, household and physical movement decision based on normal deviate weighting of response categories and fertility differentials as mean number of total children ever born utilizing the data recorded in Demographic and Health Survey, 2005-06 . The suitability of the women empowerment is investigated through DHS data on factors such as age, place of residence, highest level of education, caste, religion and wealth index. The results reveal that the categories belonging to urban areas, higher education, Hindu Community except in Economic decision making index (EDMI) and richest wealth index provide higher women empowerment in EDMI and Physical movement index (PMI) while indices are at par in Household decision making index (HDMI) lowering mean number of total children ever born because of the women awareness about their rights in comparison to their counterparts.
Removal of Acid Dye (AR37) by Adsorption onto Potatoes and Egg Husk: A Comparative Study

Adsorption of Acid Red 37 from aqueous solution on potatoes (POH) and egg (EGH) husk have been studied comparatively. The adsorption process is affected by various parameters such, solution pH (2.019.02), initial concentration of dye (10, 15, 25, 50, 75 and 100 mg/l), adsorbent dose (0.2 1 g/l) and contact time. As initial pH of dye solution increased, the percentage of the removal increased, reached a maximum pH = 5.3±0.5 and the final solution pH after adsorption decreases. Inhibition of the dye sorption onto raw POH and EGH at low acidic and high basic pH ranges may be attributed to the increase of hydroxyl and hydrogen ions leading to formation of aqua complexes that retards the dye sorption. Therefore, it is suggested that the optimum pH for the removal of AR37 is 5.3±0.5. Adsorption isotherms of the studied dye on adsorbent were determined and compared with the Langmiur, Fruendlich and Temkin modles. The adsorption capacity (Qm) obtained from the Langmiur isotherm plot was 23.53 and 20.85 mg /g for POH and EGH respectively at initial pH= 5.3±0.5, initial concentration of dye 50 mg/l and adsorbent dose 1g/l. Adsorption kinetics were verified by pseudo-first order and pseudo-second order models. Results indicated that, two selected adsorbents could be employed as low cost adsorbent for removal of AR37 from aqueous solution. The removal of dye solution by potatoes husk (POH) is found to be more efficiency than egg husk powder (EGH). [Nora M. Hilal, I.A. Ahmed and E.E. Badr Removal of Acid Dye (AR37) by Adsorption onto Potatoes and Egg Husk: A Comparative Study. Journal of American Science 2012; 8(2):341-348]. (ISSN: 1545-1003). http://www.americanscience. org.49
FORMULATION AND EVALUATION OF NYSTATIN LOADED NIOSOMES

Nystatin is bacterial originated polyene antifungal agent. The aim of the study is to develop the niosomal nystatin gel for transdermal administration. Formulations were developed using thin film hydration technique. Developed formulations were characterized for particle size, shape, % entrapment efficiency, in vitro drug release, etc. After analyzing the results, best formulation is optimized and its zeta potential, stability was determined. Niosomal gel was prepared with optimized formulation using carbopol as gelling agent. In vitro drug release from formulated niosomal gel and marketed preparation was carried out. The niosomes appeared spherical in shape and the size range of niosomes in all formulations was found to be 278±1.4 to 431±1.2nm. Highest and least % entrapment was shown by FN3 (72.5±1.9) and FN5 (51.2±2.2) respectively. In vitro drug release of all formulations was carried out using exhaustive dialysis method. FN3 formulation was selected as an optimized formulation because of its good entrapment efficiency and drug release pattern. In vitro & Ex vivo drug release studies of niosomal gel and marketed formulation shown that niosomal gel sustains the drug release than the marketed gel. INTRODUCTION: Nystatin is bacterial originated polyene antifungal agent. Many molds and yeast infections, including candida, are sensitive to nystatin. Cutaneous, vaginal, mucosal and esophageal Candida infections usually respond well to treatment with nystatin 1 . Cryptococcus is also sensitive to nystatin. Oftenly, it is used as prophylaxis in patients who are at risk for fungal infections, such as AIDS with a low CD4 + count and patients receiving chemotherapy 2 .
OBJECT DETECTION SCHEME FOR DYNAMIC VIDEOS BASED ON LOCAL ILLUMINATION BASED TECHNIQUES

: The paper presents the object detection for dynamic texture scenes using illumination based techniques. They are two types of illumination technique. First one is illumination based background subtraction (ILBS) and second one is illumination based frame difference (ILFS). Illumination frame difference is identifying the objects accurately in dynamic texture scene compare to illumination background subtraction. It has less computation complexity, less computation cost and less space of memory. The experimental results show that ILFS is efficient and robust for the dynamic environment and compare to ILBS.
REAL TIME COMPUTER CONTROL OF DISTRIBUTED CONTROL SYSTEMS USING TRUE TIME TOOLBOX IN MATLAB

: This paper proposes an application based on the architecture targeting Distributed embedded control systems (DECS) with a single CPU and limited computational sources. The application provides an approach for integration of hard and critically hard control mechanisms with truetime toolbox in matlab. Our control task consists of target task to be controlled and adaptation task that implement’s control algorithms. This paper compares the time sharing concurrency and efficiency of real time operating systems like rate monolithic and earliest deadline first process. The solution for the process is simulated in matlab/Simulink
Comparative Analysis of Rainfall Prediction Models Using Neural Network and Fuzzy Logic

-Rainfall is a stochastic process, whose upcoming event depends on some precursors from other parameters such as temperature, surface pressure and other atmospheric parameters.Accurate information about rainfall is necessary for the use and management of water resources. Nonetheless, rainfall is one of the most complex and difficult elements in hydrology due to the tremendous range of variation over a wide range of scales both in space and time. Forecasting techniques such as Artificial Neural Network (ANN) and Fuzzy Logic (FL) have been used to study rainfall. This research work is motivated by the need to compare ANN and FL models to know which one is more efficient in predicting rainfall. The rainfall datasets used in this research work were collected from an automatic weather station in Iju, a town in Akure North Local Government Area of Ondo State for the period of four years (2007-2010). The model comparison is based on four criteria; the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), prediction error, and the prediction accuracy. The error measures are comparable for the two models. The analysis of the models accuracy, shows that, overall, the ANN model perform slightly better than the FL model in terms of PE, RMSE, MAE andaccuracy.
Evaluation of Telephone Counseling to assist Smoking Cessation

Behavioral support programs using telephone counseling models have been recognized as an effective tool for smoking cessation, and a proper assessment of the program is important to provide robust support to quit smoking. This study examines if other factors may influence quitting rates in adult smokers who had telephone counseling. We conducted a retrospective cohort study comparing quitting rates from September 2016 to January 2017 with the referral from various sources (Medicine, Pre-Surgery or Post-Surgery visits, Hospital or ED discharges, and everywhere else), each counselor, use of an assisting medication and the BMI with adjustment for other covariates. Logistic regression analysis of 268 smokers compared differences in the quitting rates achieved by the four counselors. The adjusted ORs for the counselors were 0.89 (95% CI 0.46-1.73), 0.70 (95% CI 0.19-2.57), and 0.71 (CI 0.351.44) when comparing to one counselor. The OR for referral type was 1.81 (95% CI 0.595.50) comparing Surgery to Medical referral and 0.93 (95% CI 0.412.13) comparing referral from Hospital discharge to medical type. Pharmacotherapy (OR 1.68, 95% CI 0.92-3.08) and BMI (OR 0.79, 95% CI 0.60-1.02) showed no significant association with quitting rates. In conclusion, telephone counseling demonstrated consistent quitting rates in the different referral types and counselors, and the efficacy of counseling may be not related to any other factors such as medications or personal BMI.
Expert’s Approach of Neoplasms in the Most Ubiquitous Autoimmune Rheumatic Disease

Rheumatoid Arthritis is a chronic & disabling polyarthritis disease which affects mainly women in middle & old age. Functional impairment & irreversible joint deformities is caused by the Rheumatoid Arthritis. Rheumatoid arthritis is linked with the autoimmune diseases such as multiple sclerosis, type -1 diabetes mellitus & asthma. Most likely as a response to unknown exogenous or endogenous antigens, the CD4 + and Tcells are involved in the induction of rheumatoid arthritis. Other cells like as monocytes, macrophages & fibroblast produce cytokines such as tumor necrosis factor –α (TNF –α)& interleukin-1 without the synovial cavity. This cytokine is central to damaging cascades, ultimately triggering the production of matrix metaloproteinases & oesteoclast which results in irreversible damage to soft tissue & bones which cause rheumatic arthritis. Further damage & complement fixation may cause by the improper regulation of the βlymphocytes. Several new drugs have become available for the treatment of rheumatoid arthritis in this article. Sharmila Kaushal 1 *, Bishnu Adhikari 2 , Vijay Kumar Panthi 3 , Faram Chaudhary 4 1* Dr. A.P.J Abdul Kalam Technical University, University of Lucknow, India 2 Jawaharlal Nehru Technological University Anantapuramu, Anantapur. Andhra Pradesh, India. 3 Sunsari Technical College, Laxmisadak, Dharan, Sunsari, Nepal 4 Rajiv Gandhi University Of Health Science, Bangalore,
Similarity Measure Selection for Clustering Stock Market Time Series Databases

: In the past few years, clustering has become a popular task associated with time series. The choice of a suitable distance measure is crucial to the clustering method and, specified the vast number of distance measures for time series available in the literature and their diverse characteristics, this selection is not uncomplicated With the objective of simplifying this task, we can use a multi-label classification framework that provides the means to automatically select the most suitable distance measures for a time series database. This thinker is based on a novel collection of characteristics that describe the main features of the time series databases and provide the predictive information necessary to discriminate between a set of distance measures. This Context provides a survey of some of the approaches for time series database clustering.
PHYTOCHEMICAL, IN VITRO ANTIBACTERIAL AND ANTIFUNGAL ANALYSIS OF LEAF EXTRACTS OF SOLANUM ERIANTHUM D. DON

The role of natural products as a source for remedies has been recognized since the beginning of mankind. Nevertheless, a minority of folkloric used medicinal plants have been evaluated for their pharmacological activities. The purpose of this study is to evaluate the in vitro antimicrobial, antifungal and phytochemical analysis of the medicinal plant of Solanum erianthum D. Don. Antibacterial activity in S. erianthum was performed for six organisms. The highest performance is seen in Bacillus cereus with 40μg concentrations and is higher than the control. Antifungal activity in S. erianthum was performed with six organisms. The highest activity is seen in Botrytis cinera and the activity is higher the control. The phytochemical analysis was carried out for the solvents Acetone, Ethyl acetate and Hydro alcohol solvent extracts. More constituents are found in hydro alcohol extracts. The constituents alkaloids, flavonoids, phenols, saponin, tannin and carbohydrates are seen in hydro alcohol extract.