Skin Colour Segmentation using Fintte Bivariate Pearsonian Type-IV a Mixture Model

The human computer interaction with respect to skin colour is an important area of research due to its ready applications in several areas like face recognition, surveillance, image retrievals, identification, gesture analysis, human tracking etc.  For efficient skin colour segmentation statistical modeling is a prime desiderata.  In general skin colour segment is done based on Gaussian mixture model.  Due to the limitations on GMM like symmetric and mesokurtic nature the accuracy of the skin colour segmentation is affected.  To improve the accuracy of the skin colour segmentation system, In this paper the skin colour is modeled by a finite bivariate Pearsonian type-IVa mixture distribution under HSI colour space of the image.  The model parameters are estimated by EM algorithm.  Using the Bayesian frame the segmentation algorithm is proposed.  Through experimentation it is observed that the proposed skin colour segmentation algorithm perform better with respect to the segmentation quality metrics like PRI, GCE and VOI.  The ROC curves plotted for the system also revealed that the developed algorithm segment pixels in the image more efficiently. Keywords: Skin colour segmentation, HSI colour space, Bivariate Pearson type IVa mixture model, Image segmentation metrics

“A Study onawareness and performance Of YONO App by its users in Mumbai regionâ€

YONO (You Only Need One) is an integrated digital banking stage offered by State Bank of India (SBI) to allow users to access a range of financial and other services of bill payments. YONO is offeredas  smartphone app for Android and iOS. YONO was launched on Friday 24 November 2017 by Arun Jaitley, the Finance Minister of India. YONO compromises services from over 60 e-commerce companies withtravel planning, online shopping, taxi booking, online education and offline retail. YONO also offers conventional mobile banking services such as fund transfers, bank account opening, cashless bill payments, and loans. State Bank of India, has launched a unified integrated app called YONO (You Need Only One) that would offer all types of financial and lifestyle products

STUDY ON EFFECT OF UPFC DEVICE IN ELECTRICAL TRANSMISSION SYSTEM: POWER FLOW ASSESSMENT

The power transfer capability of electric transmission lines are usually limited by large signals ability. Economic factors such as the high cost of long lines and revenue from the delivery of additional power gives strong intensive to explore all economically and technically feasible means of raising the stability limit. On the other hand, the development of effective ways to use transmission systems at their maximum thermal capability. Fast progression in the field of power electronics has already started to influence the power industry. This is one direct out come of the concept of FACTS aspects, which has become feasible due to the improvement realized in power electronic devices in principle the FACTS devices should provide fast control of active and reactive power through a transmission line. The UPFC is a member of the FACTS family with very attractive features. This device can independently control many parameters. This device offers an alternative mean to mitigate transmission system oscillations. It is an important question is the selection of the input signals and the adopted control strategy for this device in order to damp power oscillations in an effective and robust manner. The UPFC parameters can be controlled in order to achieve the maximal desire effect in solving first swing stability problem. This problem appears for bulky power transmission systems with long transmission lines. In this paper a MATLAB Simulink Model is considered with UPFC device to evaluate the performance of Electrical Transmission System of 22 kV and 33kV lines. In the simulation study, the UPFC facilitates the real time control and dynamic compensation of AC transmission system. The dynamic simulation is carried out in conjunction with the N-R power flow solution sequence. The updated voltages at each N-R iterative step are interpreted as dynamic variables. The relevant variables are input to the UPFC controllers

Development of large scale drying system for Chillies(Capsicum annum)

A study was conducted to investigate large scale drying of ripe chillies in unutilized tobacco barns.  Experiments indicated that ten quintals of ripe chillies can be loaded in a 6 m×3.6 m size barn.  Galvanized iron wire mesh trays of size    105 cm×75 cm×7.5 cm were found to be suitable to spread chillies on the existing tiers.  Drying time required to reduce moisture from 292.5% to 9.6% (db) varied considerably depending upon whether chilli pods were thin pericarp type varieties or thick pericarp type hybrids.  The hybrids took about 40 hours to dry whereas the varieties took about 24 hours.  Drying air temperatures ranging initially at 50℃ to a final value of about 55℃ were found to be appropriate to dry chillies.   Open yard sun drying took 12 and 17 days for varieties and hybrids respectively.   The discoloured pods were low, 3.5%- 4% in barn dried process in comparison to 12% to 14% in open yard sun drying.  The study suggests that unutilized barns can be converted to dry ripe chillies on a large scale.Keywords: Chillies, drying, barns and large scale Citation: Satyanarayana CH. V. V., and P. C. Vengaiah.  Development of large scale drying system for Chillies (Capsicum annum).  Agric Eng Int: CIGR Journal, 2010, 12(1): 189-193.&nbsp

Quality Assessment of Software Reliability Growth Models

The two main important properties of software components are reliability and robustness. Reliability can be defined as the probability of failure free operation and on the other hand the robustness can be defined as how far the software can be able to with stand for intrusion attacks. In both the cases there should be some metric to evaluate the performance of these properties. In this paper metrics are been described which can be used to assess the quality of performance for these properties within a software reliability growth model. Keywords: Software growth model, reliability, robustness, Quality metrics

Adaptive Mean Value Function Based Quality Assessment of Software Reliable Growth Models

Software growth models aims for reliability of the application over a period of time. Assessment of such models is of great interest since many faults arises with the models during the operation over a span of time. In this paper a adaptive mean value function based testing and estimation of the parameters were discussed. The proposed approach is also compared against the conventional testing approaches and found that the proposed method able to detect the fault under different scenario and proves to give better performance under a constrained environment. Keywords: Software reliability, Growth models, testing analysis, Fault detection and correction

Efficient IP Trace back Mechanism for Identifying IP Spoofers

- It is well known that aggressors or spoofers may utilize fake source IP address to hide their genuine areas from victims. So, to catch these spoofers a number of  techniques for tracing IP address have been proposed .But, because of the challenges of deployment of those techniques ,they have not been widely adopted, at least at the Internet level. So,that is why we can’t end the attacks made by spoofers. This proposes inactive IP trace back that side steps the organization troubles of IP trace back methods. PIT looks at Internet Control Message Protocol bungle messages enacted by parodying development, and tracks the spoofers considering open accessible data

A Hybrid Microgrid Operated by PV Wind and Diesel Generator with Advanced Control Strategy

All for a local area that gets its power from a solitary diesel generator (DG), this examination presents an efficient power energy choice for a microgrid. A twin feed enlistment generator draws power from a sun oriented photovoltaic (PV) cluster and the breeze to run this microgrid's electrical gear (DFIG). Two voltage source converters (VSCs) are sequentially coupled on the rotor side of the DFIG and share a DC transport that at last prompts the photovoltaic modules. Likewise associated with a similar DC transport as the DFIG stator is a bidirectional buck/help DC converter and a battery energy capacity (BES) to retain any overflow power. Most extreme energy collecting from the breeze and sun is accomplished by regulation of the bidirectional buck/help DC converter and the rotor side VSC. A changed form of the irritate and notice (P&O) technique is introduced for of expanding the energy result of a PV framework. Endeavors are being made to change VSC on the heap side to further develop DG's eco-friendliness. The ideal fuel-use reference DG power result may now be resolved utilizing a new, more broad methodology. Using the Sim Power Systems toolbox in MATLAB, we model and simulate many scenarios, including fluctuating wind speeds, fluctuating insolation, the impact of fluctuating load conditions on a bidirectional converter, and an unbalanced nonlinear load linked at the point of common coupling (PCC). Finding sinusoidal and balanced DG and DFIG stator currents