Volume 5 | Issue 4 |

 Abstract

This study has been undertaken to determine the recognition rate of identification of similar appearing grains using ANN and SVM. In total 39 color as well as texture features of the grain images are calculated and training and testing is performed using ANN and the results are noted. Similarly using the same features training and testing is carried out using SVM. As per our grains under study SVM provides better results compared with ANN.

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Food Grains, ANN, SVM, Classification, Identification, Recognition, GLCM, color features, texture features

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Wind power stations much placed in remote areas; so they are characterized by weak grids and are often submitted to power system disturbance like faults. In this proposed model , the behaviour of a wind energy conversion system that uses the structure of Doubly-Fed Induction Generator (DFIG) under faulty conditions is presented. The behavior of these machines during grid failure is an important issue. DFIG consists of an asynchronous machine, in which the stator is connected directly to the grid and its rotor, is connected to the grid via two electronic power converters (back-to-back converter). In the three-phase rectifier and the inverter with IGBTs the Pulse Width Modulation (PWM) and SPWM technique is respectively used. DFIG is analysed and simulated under varies faulty conditions in the environment of MATLAB/SIMULINK

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MODERN CONTROL ASPECTS IN DOUBLY FED INDUCTION GENERATOR UNDER VARIES FAULT CONDITIONS

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This paper presents a stand-alone doubly-fed induction generator (DFIG) supplying a balanced three-phase diode rectifier. These harmonics are rejected by using the rotor current controller in the fundamental synchronous reference frame. The proposed control algorithm is based on a fuzzy logic controller and a bank of resonant filters. In this frame, each resonant filter in the rotor current controller has the possibility of rejecting one pair of the positive and the negative stator harmonic voltages at the PCC. The proposed method describes a stand-alone doubly-fed induction generator (DFIG) supplying a balanced three-phase diode rectifier. These harmonics are rejected by using the rotor current controller in the fundamental synchronous reference frame. The proposed control algorithm is based on a fuzzy controller and a bank of resonant filters.

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Fuzzy control strategy for Harmonics compensation in Stand-Alone Doubly-Fed Induction Generators with Nonlinear Loads

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The present paper describes how calcium homeostasis is related with electrostrictive energy linked with pH homeostasis. The proposed model incorporates electrostrictive energy as input and bone calcium level as output. The model is also comprised of pH homeostasis, antiporter homeostasis, PTH homeostasis and calcium homeostasis. Electrostrictive energy in E. Coli plays very crucial role for homeostasis of bone calcium. As we know that bone calcium plays very important roles, which are linked with fundamental biological processes involving muscle contraction including the cardiac muscles, which can prevent myocardial infarction during heart attack. Tight regulation of the extracellular fluid (ECF) calcium concentration is maintained through the action of calcium sensitive cells. The precise control of calcium ion in extracellular fluids is of great importance for maintaining the health of individuals. The calcium homeostasis is linked with parathyroid hormone and VDR depending on the level of calcium in ECF and formation of osteoblast cells. Also the homeostasis of intracellular calcium ([Ca++]i) and pH (pHi) is important in the cell’s ability to respond to growth factors, to initiate differentiation and proliferation, and to maintain normal metabolic pathways. This model has been simulated by using MATLAB 6.5 in order to facilitate comprehensive understanding of complex electrostrictive energy phenomena concomitant with capacitance relaxation phenomena associated with cancer. It has been revealed from the model that, more is the change of electrostrictive energy more will be the reduction of formation of osteoblast cells and decreased production of bone calcium. Electrostrictive energy linked with pH homeostasis affects the formation of osteoblast cells. The osteoblast cell lineage is responsible for bone development, growth, and remodeling. Variety of hormones and growth factors regulates the development of rapidly dividing osteoprogenitor cells into highly differentiated bone-forming osteoblasts . Activation of E Coli. due to electrostrictive energy reduces formation of osteoblast cells which will affect calcium homeostasis.

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Electrostrictive energy; pH homeostasis; Calcium homeostasis; Osteoblast cell lineage

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The intratumor microenvironment is intrinsically acidic due mainly to accumulation of lactic acid as a result of increased aerobic and anaerobic glycolysis by the tumor cells. In general, the extracellular pH (pHe) in human tumors is below 7.0, whereas the intracellular pH (pHi) is maintained at neutral range, i.e., >7.0, by powerful pHi control mechanisms. The low pHe and the significant gradients between pHe and pHi affect markedly the response of tumors to various treatments such as chemotherapy, radio-therapy and hyperthermia. For instance, the acidic pHe increases the cellular uptake of weakly acidic drugs such as cyclophosphamide and cisplatin and thus increases the effect of the drugs, whereas the acidic pHe retards the uptake of weakly basic drug such as doxorubicin and vinblastine, thereby reducing the effect of the drugs. The radiation-induced apoptosis is suppressed by an acidic environment, whereas the hyperthermia-induced cell death is potentiated by an acidic environment. Better understanding of the control mechanisms of pHe and pHi in tumors may lead to device effective treatment strategy of human tumors.

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Intratumor pH; extracellular pH; intracellular pH; intratumor pH con-trol mechanism; chemotherapy; radiotherapy; hyperthermia.

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By considering the growth of population in the present situation, there should be a high level and very effective healthcare analysis is the basic criteria. It should be the same situation at both home and hospitals. There are plenty of researches are done on human health level condition, research in data mining for health analysis is most significant in order to provide good services to the patient’s health. These researches are becoming a significant opportunity for improving the quality of health care services. In this regard, this paper presents an innovative approach for human health analysis using pH value of blood and urine samples. ¬ow a day it is difficult for the doctor to detect the hypercalcaemia condition which may lead to different cancer disease. So to analysis the patient electrolyte value the doctor come to know that the volume of the electrolytes and made the judgment whether the person is normal or not. To analyze the patient health the blood and urine reports of the patients with different conditions are gathered as input parameters. Both blood and urine values are fused together by concatenation data fusion technique to form as single data. Dimension reduction is also implemented to convert the high dimensional data samples into the low dimensional space, so that the intensive information contained in the data is protected. As the dimensionality of data gets reduced, it encourage improving the robustness of the classifier and decreases computational complexity. In this paper, reduction is carried out by Principal Component Analysis on fused data. Based on feature level and on the basis of PCA technique Feature extraction is applied to extract important features from considered data. For classification A¬¬ classifier is implemented as it provides best computational speed and accuracy. In accordance with the classification outcome overall health analysis results are estimated.

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Blood and Urine samples, PCA Reduction, Feature Extraction, Data Fusion and A¬¬ Classifier

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The pH gradient in normal cells is tightly in tumor progression with regard to ion flux, the controlled by the activity of various pH-regulatoryregulation of its activity on a molecular level is membrane proteins including the isoform proteinonly recently becoming evident. The membrane of the Naþ/Hþ exchanger (NHE1). NHE1 isdomain of NHE1 is sufficient for ion exchange. constitutively active in a neoplasticHowever, its activity is regulated through the microenvironment, dysregulating pH homeostasisphosphorylation of key amino acids in the and altering the survival, differentiation, andcytosolic domain as well as by its interaction with proliferation of cancer cells, thereby causing themother intracellular proteins and lipids. Here, we to become tumorigenic. Cytoplasmic alkalinizationreview the importance of these regulatory sites and in breast cancer cells occurs as a result of what role they may play in the disrupted increased NHE1 activity and, while much isfunctionality of NHE1 in breast cancer metastasis. known about the pathophysiologic role of NHE1

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Homeostatsis,Na+,pH,tumorigenic

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Dynamic remodeling of the extracellular matrix (ECM) is essential for development normal organ homeostasis. Life-threatening pathological conditions arise when ECM remodeling becomes excessive or uncontrolled. Here, we focus on how ECM remodeling contributes to cancer disease, which present challenging obstacles with respect to clinical treatment, to illustrate the importance and complexity of cell-ECM interactions in the pathogenesis of these conditions. ECM remodeling is crucial for tumor malignancy and metastatic progression, which ultimately cause over 90% of deaths from cancer. Here, we discuss current methodologies and models for understanding and quantifying the impact of environmental cues provided by the ECM on disease progression, and how improving our understanding of ECM remodeling in these pathological conditions is crucial for uncovering novel therapeutic targets and treatment strategies. This can only be achieved through the use of appropriate in vitro and in vivo models to mimic disease, and with technologies that enable accurate monitoring, imaging and quantification of the ECM.

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extra cellular matrix, pathogenesis, homeostasis, quantification Introduction

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Schools are obliged to provide a safe transport system for kids so they can focus on their studies. Parents are as concerned about the safety measures a school has in place as they are about the level of education they expect the school to impart on their child. One way schools can ensure protection for their students is by using a Bus GPS tracking system. A high end GPS system is installed in the school vehicle all the signals from the vehicle are routed to an integrated central server for real time monitoring Information from the server can be transmitted via message alerts and Emails, or can be checked on the web or using mobile apps. What are the features of School Bus GPS Tracking System? The parent is informed estimated arrival time of their child’s bus before it reaches the stop before/after school. Guardians can track the area of the transport progressively utilizing the application. Parents without smart phones can use the know your bus feature to receive a text message which informs them of the current location of their child’s bus. In case there is a traffic jam, natural calamity or any other problem, an text message is immediately dispatched to the parent informing the reason for delay Benefits of GPS Tracking for School Buses. The advantages of using GPS tracking systems in school buses are plenty. The most important benefit is the peace of mind it provides parents as they are continually updated of their child’s where abouts. School management will have access to detailed reports such as distance moved by each vehicle, time of arrival at each stop etc which can prove to be in valuable. The school admin can review routes to ensure that the drivers are sticking to planned routes and isn’t missing any stops. The transport manager is also informed via alerts if the drivers over speed or if the vehicle has been in an accident

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 Keywords

Computer Communication Network ?.C.2.0 General, Data Communication, Open System Interconnection Reference Model, Security and Protection (e.g. Firewall), Mobility, Network Operations, Public Network, Distributed System, Client Server.

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Higher Education is an instrument for social change. Higher Education has provided social mobility to the Indian society. Social change occurs at different rates and through different Medias at different levels. The attitude of different groups of people towards social change is also related with Education. The present study was undertaken to assess the impact of higher education on attitude of Scheduled Caste and Scheduled Tribe women towards social change of Morigaon District, Assam. The Researcher had selected 60 highly educated Women as sample out of which 30 women belong to SC and 30 women belong to ST category. The sample was selected by using purposive sampling technique. Descriptive survey method was used to collect data. The Modernization Scale developed by Dr. R.S. Singh, A.N. Tripathi and Ramji Lal was used as tool for collecting data about attitude towards social change. This scale consisted of four aspects of social change i.e. socio-religious, marriage, position of women and education. The collected data was analyzed and interpreted with the help of statistical techniques such as Mean, standard Deviation and t-test. The study revealed that there exists no significant difference between the attitude of highly educated SC and ST women towards social change of Morigaon District, Assam.

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Higher Education, Attitude, social change, Scheduled Caste and Scheduled Tribe.

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