Improve Performance of FLC for HVAC System by Fuzzy Logic

Rapid development in building industry has improved power demand. Sensible buildings have turn into a pattern to manage energy longings and environment ease. This is outcome in reliance of wise management. Decreasing energy utilization and to verify thermal comfort are two fundamental concerns in arranging an air-con system. They contribute basic piece of aggregate energy utilization. Studies prescribe that in areas like conference halls, indoor stadiums & auditoriums, air-con will contribute most extreme sum as seventy fifth of aggregate percent energy consumption. Management method proposed is FLC (Fuzzy Logic Controller). Usage of FLC system is grants sort out of solace to human body. A Mat Lab fuzzy tool chest is utilized wherever a fuzzy logic controller is for air-quality, artificial-lighting comfort parameters & temperature. They gave system is equipped for accomplishing energy protection inside of buildings. DOI: 10.17762/ijritcc2321-8169.150617

Improve performance of fast steady state response for DC servo motor by fuzzy logic implementation

The DC Servo Motors has top position in various servomechanisms. It is important to study DC Servo motor along with its position control study. Generally transient responses of DC Servo Motor are improved by using PID controller. Currently, to provide workable initial value most tuning methods have been designed. The workable initial value further manually corrected for special requirement. The work presents fast tuning and flexible method which is based on Fuzzy logic. The GA (genetic algorithm) is used to determine some optimal parameter of PID controller. In this paper simulation results shows Fuzzy logic satisfied with wide range of requirement with compared to the tuning method. Fuzzy logic gives the actual response with respect to required response . DOI: 10.17762/ijritcc2321-8169.15068

Application of Ala‚k¹ra Siddh¹nta in ‘Ode To A Skylark’ of Shelley

Aesthetics “A Science of Fine Arts” is an outcome of the self-realisation, which Indian aestheticians, has attained by their tap and devotion (s¹dhya) through their age old experiments by the way of their sensuous power. There is well experimented siddh¹ntas (theories) or processes of judgement with sensuous taste in relishing aesthetic beauty, that Indian aestheticians assure. These siddh¹ntas (theories) can be relished, enjoyed and can be expressed in words. The multifarious process of appropriating words and sentences like syntax, diction, style matures as a result of their cumulative refinement for centuries, till it is appreciated as full fledge doctrine (siddh¹nta) of Indian poetics. These siddh¹ntas (theories) are: rasasiddh¹nta of ¸c¹ryaBharat (theory of aesthetic pleasure), alaṁkāra siddhānta of ¸c¹ryaBh¹mah (theory of figures of speech), dhvani siddhānta of ¸c¹rya ¸nandavardhana (theory of suggestion), rīti siddhānta of ¸c¹ryaV¹man (theory of style), vakrokti siddhānta of ¸c¹ryaKuntaka (theory of obliquity), and aucitya siddh¹nta of ¸c¹rya K¬emendra (theory of  propriety). The essence of the Vedic and the Non-Vedic religious, sectarian concepts, philosophical thoughts and doctrine (siddh¹nta) of different schools has considerably enriched and sweetened Indian philosophy; and its scope is so great and the span is so vast, that we find no such line of literary study that is not perfumed with its essence

Improved Performance of Stability and Turbine Response of Hydro Power Plant System by Fuzzy Logic

In this Research work, simulation model of typical canal kind small hydro-electric power plant developed through model inter-connection of assorted equipments of plant into consideration during MATLAB/SIMULINK based mostly package surroundings. Varied elements of tiny electricity plant, governor, semi-Kaplan turbine and open channel. Synchronous exciter, generators are being thought about below modeling and simulation. Aim is to check its behavior throughout transient condition. Victimization simulated model sweetening through Fuzzy logic controller are done to scale back oscillations, peak overshoot and peak undershoot throughout transient amount and additionally to enhance steady state response this invalidator prices and safety conditions, in choosing simplest alternatives within early phase of design and to see devices. Using fuzzy logic, the turbine response max overshoot is 0.25 and stabilizes at 0.36. Whereas using PID the turbine response max overshoot is 0.38 and stabilizes at 0.8. Without any controllers the max overshoot is 0.39 and stabilizes at 0.9. DOI: 10.17762/ijritcc2321-8169.150614

An Unusual Association of Aplasia Cutis Congenita with Twin Pregnancy and Maternal Varicella Case Report

We report an unusual case of aplasia cutis congenita associated with twin pregnancy and maternal varicella in first trimester, occurring over the extremity of one of the twin while other twin was perfectly normal

Power flow analysis with TCSC using Newton- Raphson method

In this paper, Newton Raphson power flow algorithm in matlab incorporating TCSC is presented. Overview of the different static load models for distribution system has been covered and included in N - R power flow. This paper present effect of TCSC level on transmission system voltage profile for different types of static load types , in which active and reactive power vary with its terminal voltages with as in exponential form, variation of the load voltage for different sizes of TCSC are simulated with 3 b us . It has also been observed that the proposed algorithm can be applied to larger systems and does not suffer with computational difficultie

Evaluation of the pancreatic malignancy with MRI & MDCT modalities

Background:Detection of pancreatic abnormality by routine noninvasive radiological method namely plain radiography and gastrointestinal barium studies is possible but these tests are insensitive and nonspecific. In earlier era more invasive tests like retroperitoneal air insufflations with tomography used never achieved wide spread clinical application and isotope scan proved disappointing owing to their false positive rates. Material & Methods:The present retrospective study was conducted at department of Department of Radiology at MRI Centre, M.B. Govt. Hospital, Udaipur. The study duration was December 2012 to November 2014. The study group of 100 patients, with suspected pancreatic diseases were examined using either MDCT scan or MRI or both as prime diagnostic modality.Results: In the present study, Pancreatic carcinoma is a hypo vascular mass so it does not enhance at all or show a mild enhancement on post contrast study. In this study out of 14 cases, 14 cases showed mild post contrast enhancement and 2 cases showed no enhancement at all. on CECT examination, out of 10 cases of head mass, 8 cases were hypo dense and 2 were Isodense and showed dilated MPD in 9 cases 90.00% which were most common finding followed by dilated CBD in 8 cases (80.00%) and invasion of other organs in 2 cases (20%). On MRI examination, out of 4 cases of head carcinoma, 3 appeared hyperintense & 1 appeared hypointense and showed dilatation of MPD & CBD in all cases and invasion of organ in one case. Out of 14 cases of head carcinoma, 4 (28.57%) cases showed distal metastasis in liver. Out of 7 cases of body-tail mass, six appeared hypo dense and one appeared on NCCT. Distant metastasis and dilated MPD were found in 4 cases and CBD were dilated in any one case of body mass. Conclusion: We concluded from the present study that Dual-phasic contrast-enhanced MDCT in the pancreatic parenchymal and the venous phase is the method of choice for detection and staging of pancreatic cancer, inflammatory lesions and its vascular complications. For detection of small, hyper vascular neuroendocrine tumors, no single imaging method will reveal all tumors. In this respect, MDCT and MRI are complementary methods

Assessment of the accuracy of MRI in differentiating benign and malignant lesion by different intralesional tissue signal characteristics

Background:Despite the diversity associated with soft tissue tumour development, all diagnosis carry similar symptoms and treatment options. By systematically using clinical history, lesion localisation, mineralisation on radiographs and signal intensity characteristics on MR images, one can determine the diagnosis for the subset of determinate lesion that have characteristic clinical and imaging features and narrow the differential diagnosis for lesions that demonstrate indeterminate characteristics. Material & Methods:The present retrospective study was conducted at department of Department of Radiology at MRI Centre, M.B. Govt. Hospital, Udaipur. The study duration was September 2012 to March, 2015. The study group of 50 patients, consisted of mainly patients from different parts of Rajasthan and also some from the states like Gujarat and Madhya Pradesh. Results: In the present study, in demographic study youngest age was 6 months female with angiofibroma and oldest was 79 years male with Leiomyosarcoma. Most common age group over all was 31 to 40 years [24%]. Amongst malignant and benign most common age group was again 31- 40 years, 8% in benign and 16% in malignant. Benign lesions were more common in females and malignant were more common in males.Out of total study participants 50 patients, 32 cases were malignant and 18 cases were benign.Most tumors were hypointense on T1W study[58%] and hyperintense on T2W images[86%]. Heterogenous hyperintensity on T2W images was more common in malignant lesions than in benign. Sensitivity and specificity of this characteristic predicting malignancy is as follows. Statistics show that heterogenous hyperintensity has higher sensitivity, specificity, PPV and NPV in predicting malignancy and p value suggests that there is significant difference among the malignant and benign lesions. [Chi = 20.91; p = 0.0001].Conclusion:We concluded from the present study that MRI is the modality of choice for evaluation of soft tissue tumors along with highly sensitive in detection of soft tissue tumors almost 100%. MRI has an important role in determining the origin of these lesions and in defining their extent and relation to adjacent structures. However, it must be emphasized that MRI cannot completely distinguish benign from malignant lesions when radiologic evaluation is non-specific

Techniques and Challenges of the Machine Learning Method for Land Use/Land Cover (LU/LC) Classification in Remote Sensing Using the Google Earth Engine

In order to accurately observe the globe, land use and land cover are crucial. Due to the proliferation of several global modifications associated with the existence of the planet, land use/land cover (LU/LC) classification is now regarded as a topic of highest significance in the natural environment and an important field to be researched by researchers. Google Earth provides satellite image dataset which contains high-resolution images; these images are used to analyze the land area. In order to address the dearth of review articles throughout the land use/land cover classification phase, we proposed a full evaluation, which might help researchers continue their work. Therefore, the purpose of this study is to investigate the methodical steps involved in classifying land use and land cover utilizing the Google Earth platform. The most widely used techniques researchers employ to achieve LU/LC classification using Google Earth Engine are examined in this work. The classification of land use and land cover for a specific region using time series was covered in this study, along with the many types of land use and land cover classes and the approach employed by Google Earth. The limits of the GEE tool and difficulties encountered during the process of classifying land use and cover have also been covered in this survey document. The importance of this review rests in inspiring future scholars to tackle the LU/LC analysis problem successfully, and this study offers researchers a road map for assessing land use/land cover classification