An Architecture for Integrated Intelligence in Urban Management using Cloud Computing

With the emergence of new methodologies and technologies it has now become possible to manage large amounts of environmental sensing data and apply new integrated computing models to acquire information intelligence. This paper advocates the application of cloud capacity to support the information, communication and decision making needs of a wide variety of stakeholders in the complex business of the management of urban and regional development. The complexity lies in the interactions and impacts embodied in the concept of the urban-ecosystem at various governance levels. This highlights the need for more effective integrated environmental management systems. This paper offers a user-orientated approach based on requirements for an effective management of the urban-ecosystem and the potential contributions that can be supported by the cloud computing community. Furthermore, the commonality of the influence of the drivers of change at the urban level offers the opportunity for the cloud computing community to develop generic solutions that can serve the needs of hundreds of cities from Europe and indeed globally.Comment: 6 pages, 3 figure

Training and development of Bengal Group of industries

This internship report is submitted in a partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2016.Cataloged from PDF version of Internship report.Includes bibliographical references (page 40).This report is about my internship at Bengal Group of Industries, Gulshan-1. In this report I have discussed every major aspect of my work experience during my internship period. In this report you will find information about the history of Bengal Group of industries, their businesses, organization timeline, organization structure etc. And in this report I also discussed about my work experience there and specific job responsibilities. Bengal Group of Industries has started their journey back in 1969 by establishing country's first plastic processing company- Bengal Plastics Ltd. Today, Bengal Group is one of the largest plastic industries in Bangladesh. However, their activities are not limited to plastics these days. Over the years they have successfully diversified our businesses into electronic media, real estate, chemical, paper, food, metal, and renewable energy. My report contains details about my job description at Bengal Group of Industries and detailed information about the industry I worked in along with a thorough analysis of a training program conducted by Bengal group of industries Human resource division. The main part of the report discusses about the Sales Training conducted by the Bengal Group of Industries and the analysis of that training session. Bengal Group of Industries is very focused on training and organization development. They always try to make their employees more effective and efficient. HR division of Bengal Group of industries has done the training and organization development tasks and this is a continuous process. The Bengal Group Industries training and development process is ideal process. It matched what I have learned in my courses. More or less, they are same. After working with them I found out that they actually care about their employee. The management always tries to provide their employee effective training in order to make them efficient and a better person. At the end it contains my major findings regarding the training program of Bengal Group of Industries.Navid Anjum KhanB. Business Administratio

Assessment of genetic diversity among India Ginseng, Withania somnifera (L) Dunal using RAPD and ISSR markers

Withania somnifera is commonly known as Indian Ginseng or Ashwagandha which is listed highly medicinal plant in Ayurveda for its wide range of medicinal use. Genetic diversity among 16 genotypes of Withania somnifera collected from four different regions viz. Lucknow, Nimuch, Karnataka and Mumbai was studied using RAPD and ISSR techniques. The ISSR and RAPD together produced 89 bands across 16 genotypes of W. somnifera of which 39 were polymorphic showing 47.89% polymorphism. Over 99% of the RAPD and ISSR fragments were reproducible in the present experiment. There was 90% uniformity within the population. The neighbor joining tree also confirmed a clear grouping and differentiation based on populations of origin i.e. samples were grouped on the basis of their regions of origin. The dendrogram reveals that outgroup of W. somnifera Karnataka origin are evolutionarily related to W. somnifera Nimuch group varieties and W. somnifera Lucknow and Mumbai group varieties are evolutionarily closely related. Within population analysis of Lucknow and Nimuch location showed two sub groups of two lines each showing slight diversity. Plants from Karnataka and Mumbai region show less diversity within population

Soil Minerals Serving as Source of Arsenic in Alluvial Aquifers of Holocene: A Case Study from Indus Delta, Sindh, Pakistan

Groundwater arsenic contamination is recently reported in the alluvial aquifers of Indus deltaic plain. Since the source of arsenic is believed to be natural as widely reported in other deltaic aquifers of same age (Holocene), it is imperative to evaluate the soil characteristics for identifying the sources of arsenic and its mobilization mechanism. For this purpose, 49 soil samples were collected from near aquifer sites in all three talukas of Tando Muhammad Khan district. Visual analysis revealed that soil is light grey in color with fine texture ranging from silt to silty-clay. The X-ray diffraction study reveals the occurrence of quartz, mica and clay minerals in all collected soil samples. Plagioclase feldspar is second dominant mineral group in the order of albite (calcian) >albite>albite (disordered) = anorthite > anorthite (sodian) = anorthite (disordered). Calcite is major carbonate mineral which is detected in 40 out of total 49 soil samples. The occurrence of other occasional minerals includes amesite, nitro-calcite, rutile and zinnwaldite. The frequency of micaceous minerals in collected samples is in the order of clinochlore> polylithionite> Biotite > phlogopite> muscovite. Polylithionite is found in about half of the total soil samples, where most of the aquifers contain arsenic >20 μg/L (Khan, 2014). Phlogopite is observed in seven soil samples which are also associated with clinochlore. On the other hand, biotite is found in 14 sediment samples collected from Tando Muhammad Khan and Bhulri Shah Karim talukas and muscovite occurs in three soil samples of Tando Muhammad Khan taluka. It can be concluded from present study that fine-grained Phyllosilicates have strong affinity for arsenic retention. These sediments are important source of arsenic Indus delta and other deltaic plains of the world

Hematological Parameters in HIV Patients: Association with CD4 Count

Background: Around 2.1 million people are currently living with human immunodeficiency virus (HIV) infection in India. Hematological parameters have been proposed as alternative markers of HIV infection in areas with limited resources. This study aimed to describe hematological parameters in patients with HIV infection and to determine their association with CD4 cell counts. Methods: This cross-sectional study assessed 100 HIV patients on antiretroviral therapy (ART). Their blood samples were collected to measure complete blood count (CBC) and CD4 count. Patients with known hematological disorders, critically ill patients, and those not willing to give informed consent were excluded. The Chi-square test was used to find the association between hematological parameters and CD4 counts. Results: Most patients with HIV infection had anemia (85%), followed by thrombocytopenia (42%) and neutropenia (36%). There was a statistically significant association between the number of patients having anemia and CD4 cell counts. Conclusion: Hematological changes are common in HIV patients. Hematological parameters should be routinely monitored and managed to reduce morbidity. Also, patients with unexplained low blood counts should be screened for underlying HIV infection

Hand Gesture Classification Using Emg Signal

The art of gesture recognition involves identification and classification of gestures. A gesture is any reproducible action or a sequence of actions. There are lots of techniques and algorithms to recognize gestures. In the project, gestures are recognized using biological signals generated by the human body. There are many biological signals that can be used for gesture recognition. Some of them are Electroencephalogram (EEG), Electrocardiogram (ECG), and Electromyogram (EMG). EMG signals are generally used because they have good signal strength (in the order of mV). Thus we use emg signal as the acquisition of EMG signals is easy and less complex ascompared to the above mentioned signals. Five different gestures such as Six features such as . root mean square, mean, standard deviation, variance, maximum and minimum values are extracted from the emg signals. The classifier used under the study is SVM , giving classification accuracy of 96.8%

Time Frequency Feature Extraction Scheme based on MUAP for classification of Neuromuscular Disorders using EMG signals.

The features of motor unit action potentials(MUAPs) are extracted from electromyographic (EMG) signals which provide information for diagnosis of neuromuscular disorders. Neuromuscular Disorders are classified into two categories Myopathic and Amyotrophic Lateral Sclerosis(ALS). ALS is a progressive neurodegenerative disease that affects nerve cells in the brain and the spinal cord. The progressive degeneration of the motor neurons in ALS eventually leads to their demise. When the motor neurons die, the ability of the brain to initiate and control muscle movement is lost hence the EMG signals of the patient of this disease are characterized by signals that have a increased value of amplitude , thereby increasing the peak to peak value of the signal. On the other hand Myopathies are a group of disorders characterized by a primary structural or functional impairment of skeletal muscle. They usually affect muscle without involving the nervous system, resulting in muscular weakness hence the EMG signals of the patients of this group of disorder are characterized by signals of shorter duration and smaller amplitude. The aim of this study, is to design a automated system which can classify the signals as ALS , Myopathic and Normal.The proposed scheme employs extracting both time and time–frequency features of a MUAP and then providing it to classifier which can classify the signals as ALS, myopathic and normal.In the proposed system, three classifiers are implemented and their results are evaluated out of which Random Forest classification technique provides the highest accuracy of 97.85%

Women are More Utilitarian for their Credit Card Usage

This paper aims to present the individual differences among credit card users with reference to their age and Sex. Data for the research were collected through a survey of customers of Credit Card users in Pakistan.  The results show that some age and Sex differences exist in the credit card usage. The research focuses on credit card services in Pakistan; further research from dispersed geographic areas may be necessary before generalization can be made on the entire service industry. Service providers can use this model for their market segmentation and targeting activities leading to better positioning their products/services in the competitive banking services. Although there are studies on individual differences of services; research on individual differences on credit cards is very limited; this research adds significant value on the subject area. Keywords: Age differences, Sex differences, Consumer Behaviour, Credit Card, Service