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THERMAL PERFORMANCE ANALYSIS ON SOLAR INTEGRATED COLLECTOR STORAGE
Get PDFThe current trend very well signifies that the world is losing all its fossil fuels at a rapid pace. The main solution to get rid of this problem is to effectively make use of the Renewable Energy Sources available around us. Solar energy is one such renewable source of energy available and is encouraged to be used in every country for its sustainability. However, the energy source and the demand do not match each other, especially in solar heating applications. So at present, energy storage is the main focus in any solar heating and cooling system. Solar radiation is a time dependent energy source with an intermittent character. The main aim of this work is to analyze the charging and discharging performance of solar thermal energy storage system with phase change materials (PCMs) and to investigate the appropriate method of enhancement of heat transfer from fin to PCM and PCM to heat transfer fluid (HTF). The utilization of PCM in the heat storage is investigated experimentally for convective heat transfer between the PCM and air. The selected PCM, Magnesium Chloride hexahydrate worked well in the practical range of temperature of around 110C for a variety of domestic and industrial applications
3D MODELLING AND DESIGNING OF DEXTO:EKA:
Get PDFThe presented paper is concerned with designing of a low-cost, easy to use, intuitive interface for the control of a slave anthropomorphic teleo- operated robot. Tele-operator “masters”, that operate in real-time with the robot, have ranged from simple motion capture devices, to more complex force reflective exoskeletal masters. Our general design approach has been to begin with the definition of desired objective behaviours, rather than the use of available components with their predefined technical specifications. With the technical specifications of the components necessary to achieve the desired behaviours defined, the components are either acquired, or in most cases, developed and built. The control system, which includes the operation of feedback approaches, acting in collaboration with physical machinery, is then defined and implemented
STUDY OF EFFECT OF SOLID CONTAMINANTS IN THE LUBRICANT ON BALL BEARINGS VIBRATION
Get PDFIn deep groove ball bearings contamination of lubricant grease by solid particles is one of the main reason for early bearing failure. To deal with such problem, it is fundamental not only the use of reliable techniques concerning detection of solid contamination but also the investigation of the effects of certain contaminant characteristics on bearing performance. Nowadays the techniques such as vibration measurements are being increasingly used for on-time monitoring of machinery performance. The present work investigates the effect of lubricant contamination by solid particles on the dynamic behavior of rolling bearings, in order to determine the trends in the amounts of vibration affected by contamination in the Grease and by the bearing wear itself. Experimental tests are performed with Deep-groove ball bearings. The Dolomite powder in three concentration levels and different particle sizes was used to contaminate the grease. Vibration signals were analyzed in terms of Root Mean Square (RMS) values and also in terms of defect frequencies
ANALYSIS OF MAMMOGRAM FOR DETECTION OF BREAST CANCER USING WAVELET STATISTICAL FEATURES
Get PDFEarly detection of breast cancer increases the survival rate and increases the treatment options. One of the most powerful techniques for early detection of breast cancer is based on digital mammogram. A system can be developed for assisting the analysis of digital mammograms using log-Gabor wavelet statistical features. The proposed system involves three major steps called Pre-processing, Processing, and Feature extraction. In pre-processing, the digital mammogram can be de-noised using efficient decision-based algorithm. In processing stage, the suspicious Region of Interest (ROI) can be cropped and convolved with log-Gabor filter for four different orientations. Then gray level co-occurrence matrix (GLCM)can be constructed for log-Gabor filter output at four different orientations and from that first order statistical features and second order statistical features can be extracted to analyze whether the mammogram as normal or benign or malignant. The proposed method can allow the radiologist to focus rapidly on the relevant parts of the mammogram and it can increase the effectiveness and efficiency of radiology clinics
IMAGE EDGE DETECTION BASED ON FPGA
Get PDFField Programmable Gate Array (FPGA) is an effective device to realize real- time parallel processing of vast amounts of video data because of the fine-grain reconfigurable structures. This paper presents a kind of parallel processing construction of Sobel edge detection enhancement algorithm, which can quickly get the result of one pixel in only one clock periods. The algorithm is designed with a FPGA chip called XC3S200- 5ft256, and it can process 1024×1024×8 Gray Scale Image successfully. The design can locate the edge of the gray image quickly and efficiently
MARKER CONTROLLED WATERSHED SEGMENTATION USING BIT-PLANE SLICING
Get PDFImage segmentation is the basis for computer vision and object recognition. Watershed transform is one of the common methods used for region based segmentation. The previous watershed methods results in over segmentation. In this paper we present a novel method for efficient image segmentation by using bit-plane slicing and marker-controlled watershed. Bit-Plane slicing method produces the sliced image by taking the most significant bit of the image as the input to the bit-plane slicing algorithm. The output of the Bit-Plane slicing algorithm is used to produce the gradient image .The watershed segmentation algorithm is applied to the average of the marker image and the gradient image so as to get efficient segmentation result. Experimental results, shows that the proposed method reduces the memory consumption and computation
Encryption and Decryption algorithm using two dimensional cellular automata rules in Cryptography
Get PDFIn this paper we present a new encryption and decryption algorithm for block cipher based on the linear (periodic boundary-PB) and nonlinear cellular automata rules. First we apply non linear CA rules (complements) to both plain text and key. Then PB CA rule is applied to the above results separately followed by the XOR operation of above results. After that the result of XOR operation is fed to substitution box(S-box) and again PB CA rules are applied followed by SBox. The decryption process is carried out just similar to that of encryption but in the reverse way. Both the process of encryption and decryption is performed for 8 number of rounds in order to avoid the dependency between the plain text and cipher text so that the our proposed algorithm is more secure than that of AES and DES algorithms
An Analysis on End-To-End Inference Methods based On Packet Probing in Network
Get PDFCurrent Internet is a massive, distributed network which continues to grow in size as globalization takes major role in everyone’s life like e-commerce, social networking and related activities grow. The heterogeneous and largely unregulated structure of the Internet renders tasks such as optimized service provision, rate limiting certain classes of applications (e.g. peer-to-peer), provide bandwidth guarantee for certain applications, avoiding shared congestion in flows are increasingly challenging tasks. The problem is complicated by the fact that one cannot rely on the cooperation of individual servers and routers to aid in the collection of network traffic measurements vital for these tasks. Hence we go for network monitoring and inference methods based on packet probing in the network. This paper presents an analysis of different inference methods for network characteristics to deal with shared congestion, packet forwarding priority, network tomography and evaluates each methodology based on packet loss rate and delay variance
Group-Key Management Model for Worldwide Wireless Mesh Networks
Get PDFWireless Mesh Network (WMN) is an upcoming wireless network technology and is mainly used to provide broadband internet in remote locations. It is characterized by minimum fixed infrastructure requirement and is operated in an open medium, such that any user within the range covered by mesh routers may access the network. So a critical requirement for the security in WMN is the authentication of users. However, WMN is far from mature for large-scale deployment in some applications due to the lack of the satisfactory guarantees on security. A wellperformed security framework for WMN will contribute to network survivability and strongly support the network growth or reduction. A key management model to overcome the scalability issue on security aspect for large-scale deployment of WMN i.e. Worldwide WMN is proposed in this work, which aims to guarantee wellperformed key management services and protection from potential attacks. Here, we use a combination of techniques, such as zonebased topology structure, off-line CA, virtual certification authority ) etc
Secure Biometric Cryptosystem for Distributed System
Get PDFInformation (biometric) security is concerned with the assurance of confidentiality, integrity, and availability of information in all forms, biometric information is very sophisticated in terms of all, in this work we are focusing on data pattern along with all security assurance, so that we can improve the matching performance with good security assurance, here one of the most effective RSA algorithm use with biometric (fingerprint) data. Our work includes the determination of appropriate key sizes with security issues and determines the matching performance using MATLAB and JDK1.6, performance of this system is more than 86.7% and when combines this with blind authentication techniques then we get all security assurance with high performance biometric cryptosystem