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Embedded Wireless Based Communications in Oilfield & Providing Security System
Get PDFThe area of the oilfield is much wider. Oil exhauster continuous working for 24 hours. As the problem of petroleum being stolen, transmission line being stolen, and transformer being stolen exists which requires the strong secures management system. With Consideration of the objective condition restriction of geographical environment, the implementation of safe management for oilfield is very difficult. We overcome these difficulties, which comes from geographical environment. The cost is not only high if the fiber cable would be lay between working station in the several tens of square kilometers, but also need to put into a lot of human and material resources with line maintenance and guard against theft. It is a perfect scheme that remote wireless monitoring and control system is established. The system is required to manage the data received from the various site and providing the security by managing and providing automatic controlling structure
COMMUNICATING WITH AN ENERGY METER USING IEC 62056 THROUGH TCP/IP PROTOCOL
Get PDFDevice Language Message Specification (DLMS) is an application layer protocol designed to support messaging to and from energy distribution devices in a computer integrated environment. COSEM, the Companion Specification for Energy Metering, addresses the meter as an integrated part of a commercial process, which starts with the measurement of the delivered product (energy) and ends with the revenue collection. The DLMS/COSEM specification specifies a data model and communication protocols for data exchange with metering equipment. Communication with electricity metering equipment using the COSEM interface classes is based on the client – server paradigm, where the Meter plays the role of server and the client is a Meter Reading Instrument. Different types of communication media are used to retrieve parameters from energy meter. This paper aims to establish a communication with energy meter by using DLMS/COSEM and access meter data with TCP/IP based communication media
HERMITIAN SYMMETRY BASED FIBER NON-LINEARITY COMPENSATION IN OPTICAL OFDM NETWORKS
Get PDFOrthogonal Frequency Division Multiplexing (OFDM) is a modulation technique which is now used in most new and emerging broadband wired and wireless communication systems such as standard 802.11a/b/g/n, Digital Video Broad casting Television (DVB-TV), and Long Term Evolution (LTE) in the next mobile generation, due to its capacity in solving the problems of Inter-Symbol Interference (ISI) caused by the effects of the dispersive channel. Very recently researches focus on applying OFDM technology in optical fiber communication systems. Optical OFDM is well suited for high speed transmission systems with high spectral efficiency and attracted significant attention from the optical communication community. One of the major issues that degrade the performance of optical OFDM networks is its fiber non-linearity. Fiber non-linearities represent the fundamental limiting mechanisms to the amount of data that can be transmitted on a single optical fiber. Non-linear effects arise as optical fiber data rates, transmission lengths, number of wavelengths, and optical power level increases. Therefore, the effect of non-linearity in high data rate optical networks needs to be controlled to enhance link performances. In this paper, a nonlinearity compensation technique (Hermitian Symmetry) is implemented to improve the performance of OFDM based optical networks. This would provide high spectral efficiency, low ISI and very good Bit Error Rate (BER) performances without increasing the complexity of the network. The optical OFDM transmission system with fiber non-linearity compensation is simulated using Virtual Photonics Integrated (VPI) software
PUBLISHING SEARCH LOGS PRIVACY GUARANTEE FOR USER SENSITIVE INFORMATION
Get PDFSearch Engine companies maintain the search log to store the histories of their users search queries. These search logs are gold mines for researchers. However, Search engine companies take care of publishing search log in order to provide privacy for user’s sensitive information. In this paper we analyze algorithm for publishing frequent keywords, Queries, and Clicks of a search log. Before Zealous algorithm, we discuss how different variants of anonymity failed to provide good utility (publishing frequent items) and strong privacy for the search logs. And also this paper includes how zealous algorithm provides good utility and strong privacy for publishing search logs
ACOUSTIC SENSORS TO DETECT CLOGS IN SEWER PIPELINES
Get PDFBlockages in sewage pipelines are difficult to be cleaned or extracted. In order to manage sewer blockage proactively sewer managers needs to be able to identify the location of blockages precisely. As of now, only humans do this sully job of cleaning the sewages. Many human right organizations have been advocating to stop this inhuman activity. Even the highest court in the land has admonished the government to stop forth with this job of cleaning. Respective government’s corporation is adapting cleaning machines to suck the clogs and sewage water from respective blockage points. As an alternative solution, using modern technology, we present our paper on how an acoustic based sensor could be used to detect the blockages automatically as well as transmitting this information using the wireless sensor network to the centrally monitored server system. This will help in taking immediate action of removing the clogs instantly. This will not only save cost but also enable instant solution
BOOLEAN XOR BASED (K,N) THRESHOLD VISUAL CRYPTOGRAPHY FOR GRAYSCALE IMAGES
Get PDFSecure digital images is very important for today’s scenario which combining methods and techniques coming from cryptography and image processing. Visual Cryptography Scheme (VCS) is a new kind of cryptography technique which allows visual information (e.g. printed text, picture etc.) to be encrypted in such a way that decryption can be performed by the human visual system without any complex computation on computers. Here we proposed a Visual Cryptography Scheme based on image division of grey level images for the generation of Secret Shares. In this paper we represent the (k, n) Threshold Visual Cryptography Scheme in which the size of generated Shares as well as Recovered Image have same as the Secret Image rather than other VCS where k is the threshold value. Also we proposed the new technique to generate the Shadow Assignment Matrix with the help of Genetic Algorithm (GA). This Shadow Assignment Matrix helped us to distribute the Temporary shadow to the users according to their occurrence of 1’s in a row
ANDROID APPLICATION FOR MEASURING HUMAN BODY TEMPERATURE AND FORCASTING FUTURE ILLNESS
Get PDFAndroid Application for measuring human body temperature is a new age mobile thermometer. This kind of application already exists but requires manual feeding temperature. In our project, we propose an application which will measure the body temperature automatically while the user is operating the mobile device. It has an in-built function which can trigger alert messages whenever the temperature becomes critical more than normal human body temperature. The display segment of the device is made up of capacitive touch screen, which can act upon the bioelectricity produced by human body with each and every touch. This application requires Android Operating System Version 2.2. It will also diagnose the other diseases the user might have depending upon the symptoms entered
ACTION RECOGNITION USING FEATURE TRANSFORM DESCRIPTOR FROM MINED DENSE SPATIO TEMPORAL
Get PDFAction recognition in video sequence has been a major challenging research area for number of years. Apriori algorithm and SIFT descriptor based approach for action recognition is proposed in this paper. Here, two phases can be carried out for accurate and updating of action recognition. In the first phase, the input should be the video sequence. For preprocessing the sequences frame can be formatted by background modeling for every successive frame. After modeling the background, the corners are detected for every frame and compound features are extracted. Data mining is performed by using Apriori algorithm as well as with the help of compound features extraction the action can be segregated in this video sequence. In the second phase, the same process is performed as well as analysis for new input frame and new pattern are updated for perfect recognition process. Due to Apriori algorithm, the processing delay is reduced and accuracy is improved
ROLE OF REMOTE SENSING AND GIS IN FORESTRY
Get PDFThe Earth is constantly under observation from dozens of satellites orbiting the planet and collecting data. They are engaged in something called remote sensing”: the act of obtaining information about something without being in direct contact with it. Now-a-days the field of Remote Sensing and GIS has become exciting and glamorous with rapidly expanding opportunities. Many organizations spend large amounts of money on these fields. Here the question arises why these fields are so important in recent years. Two main reasons are there behind this. Now-a-days scientists, researchers, students, and even common people are showing great interest for better understanding of our environment. Development in complicated space technology which can provide large volume of spatial data, along with declining costs of computer hardware and software has made Remote Sensing and G.I.S. affordable to not only complex environmental/spatial situation but also affordable to an increasingly wider audience
FUZZY SET APPROACHES TO DATA MINING OF ASSOCIATION RULE
Get PDFData mining on large databases has been a major concern in research community due to the difficulty of analyzing huge volume of data. This paper focuses on the large set area i.e. on fuzzy sets and knowledge discovery of data. Association rules* provide information in accessing significant correlations in large databases. We have combined an extended techniques developed in both fuzzy data mining and knowledge discovery model in order to deal with the uncertainty found in typical data