Volume 30, Issue 3

As the facts depict drowsiness or fatigue is one of the major causes of road accident. Drowsiness impairs driver’s senses and the driver is not able to respond quickly resulting in higher risk of road accidents. Being a significant indicator of drowsiness, yawning detection has been explored in this paper. Many geometric and feature based methods have been previously proposed but they are sensitive to illumination, appearance variations such as skin color etc. Hence, effective feature extraction techniques are needed that extract good features in the presence of varying lightning conditions and further improve classification accuracy. Frequency domain feature extraction has not been used extensively in this area. In this paper, Local energy based shape histogram (LESH) has been implemented that extracts the features in the frequency domain, as a result it is insensitive to contrast and illumination. Support Vector machine (SVM) is a widely used machine learning tool because of its binary nature of classification and also efficiently classifying non-linear data. The proposed framework is evaluated on Yawdd database. A sensitivity of 100%, specificity of 94% and accuracy of 95% was achieved.

The quality of institutions is very dependent on the performance of leaders in mobilizing subordinates. Allegedly, leaders who lack mobilize quality management have a negative impact on the quality of institutions. This study purposes to analyze the impact of leadership mobilization in implementing quality management on quality in educational institutions, in this case the school. The study uses descriptive methods. The research approach is descriptive correlational. The research was conducted at various levels of schools (elementary schools, junior high schools, senior high school and vocational high schools) in Bengkulu province, Indonesia. The results of the study show that leaders who carry out high mobility towards quality management will have a positive impact on improving the quality of institutions. The quality of educational institutions analyzed in terms of the application of national education standards, the value of school accreditation, and the average school / national examination scores, shows a positive impact. Mobilization of leaders who have low levels has a negative impact on the achievement of institutional quality. Recommendations to authority holders, policy makers, and leaders to improve skills in mobilizing quality management, through various activities such as training, mentoring, practice simulation on a small scale, and lesson study on human resource mobilization.

Nigerian independence has spanned through 57 years (from October 1, 1960). Of these 57 years the military have ruled for over 32 years. It was expected that the new state of Nigeria in due course would develop public institutions and out of their multiple ethnic communities and diverse cultural groups would emerge the spirit of the nation. Unfortunately, however, at independence, the British not only handed over leadership to a class of educated elite, but also handed over a regionalized, ethnic based administration. So, the emergence of a 3-region structure for Nigeria at independence had implications for nation building. A conscious policy or plan of making Nigeria a nation definitely includes putting in place a set of cultural values and practices for all those referred to as Nigerians. But the question is, did the military in its lengthy years of rule ever have the ambition or dream of building a nation? This paper contends that the military rule is a dictatorship rule which in itself produced all kind of challenges to nation building. These challenges include; the challenge of power- sharing; the challenge of unequal socio- economic development, intergroup tensions and conflicts among others. The paper concludes that nation building is a task for all and sundry; military as well as civilian administration.

Background: Benign paroxysmal positional vertigo (BPPV) is the most vestibular disorder. Patients with BPPV often experience psychological disorders, like anxiety and panic agoraphobia. This study is aimed to evaluate the anxiety and agoraphobia scores before and after canalith repositioning manoeuvre, which is the treatment of BPPV.

Methods: This is an analytic cohort study. Thirty eight samples were included in the study using consecutive sampling. Diagnosis was made with history taking, physcial examination, and Dix-Hallpike manoeuvre. The participants were asked to fill the Beck Anxiety Inventory (BAI) and Agorafobia Panic (PA) questionnaire before, after the Epley manoeuvre seven days after, and fourteen days.

Results: The BAI scores before, seven days after, and fourteen days after the Epley manoeuvre were 33.97 ± 12.40, 29.42 ± 11.20, 22.97 ± 9.71, respectively. The PA scores before, seven days after, and fourteen days after the Epley manoeuvre25,92 ± 7,496, 21,24 ± 7,284, 16,05 ± 6,742, respectively. There were significant differences of BAI and PA scores before and at 7 and 14 days after Epley manoeuvre.

Conclusion: The anxiety and agoraphobia panic scores were significantly decreased before and after Epley manoeuvre (day-7 and day-14).

After the bifurcation of Andhra Pradesh and Telangana states, a new capital of Andhra Pradesh was declared as Amravati. Due to the rapid growth of urbanization and industrialization in the capital region, the land consumption is more.

This project involves the planning, design, analysis, and cost estimation of a G+5 residential building located in kanuru, Vijayawada. The layout of the proposed G+ 5 residential building is based on a plot of size 26.5mx53.5m.The ground floor of the building will be used as parking. While the remaining 5 floors will be divided into 30 flats each having an area of 87sq.m each apartment is of 2BHK configuration.

The planning of the building is done according to Andhra Pradesh G.O:119 and Building Bye laws. All the drafting was done using AUTOCAD. Also these drawings made on AUTOCAD also served as a base for transfer of the structure for analysis and design into STAAD Pro and BUILD-MASTER.

The analysis and design of the entire structure has been completed using STAAD Pro and the BUILD –MASTER. The results include the various forces acting on various members as well as various schedules for various members.

Objective: The current study aims to isolation of flavonoid fractions and identification of flavonoid components through LC-ESI/MS method. The results revealed that methanol extract was found as the best solvent for the isolation of flavonoid fractions and several kinds of flavonoids such as rutin, isoquercitrin, narcissin, quercetin, and isorhamnet in were found as the major flavonols in this plant.

Methods: The powdered flower buds of Strychnospotatorum Linn.was extracted with methanol. The filtrate was condensed by evaporation, added a phytochemical studies of medicinal plant Strychnospotatorum Linn. The ethyl acetate phase thus retained is used for chromatography. The colour and Rf values of these spots were recorded under ultraviolet light (UV 2540Å). The chromatographic separation of the methanol extract was carried out by HPLC using a reversed phase C-18 (RP C-18) column.
Result: The methanol extract showed the presence of higher flavonoid content when compared with other solvent extracts. The methanol extract was subjected to fractionalization by column chromatography. The eluted fractions were run in TLC mobile phase with the different solvent ratio. The characterization techniques confirmed that the isolated compound was found to be quercetin. Conclusion: The flavonoid quercetin was isolated effectively from the leaves of Strychnospotatorum Linn.

Time series analysis and forecasting has become a major tool for analyzing, forecasting and in other applications in various meteorological and hydro logical data like temperature, rainfall, humidity, river flow, stream flow and many more others. In this paper our goal is to forecast the future trend of maximum and minimum temperature of Punjab, using non-seasonal and seasonal Autoregressive moving average and Seasonal autoregressive integrated moving average models. For this we collect and analyze the past values and developed appropriate models which describe the inherent structure and characteristics of the series. We calculated the accuracy of our results on the basis of error measures and residual normality test . The forecast results obtained by us provide a detailed explanation of model selection and forecasting accuracy is presented. Autoregressive time series models are widely used in forecasting and analyzing of various data that are also applicable in different research areas as our forecasting results can also be used by various agencies for planning and development of various meteorological and hydro logical decisions.