The development of small unmanned aircraft systems (sUAS) has led to a plethora of industry applications. One such application for a sUAS is detecting subterraneanmethaneleakage. The rapid detection of methane will streamline work in industries such as con- struction and utilities. However, prior to flying a sUAS, the optimal way to detect methane must be determined so that unknown levels of subterraneanmethaneleakage can be de- tected accurately and efficiently. In this thesis, two methods were used in conjunction to optimize a sUAS method for methanedetection. The primary objective was to use hyperspectral data to locate the optimal wavelengths for methanedetection for use on a sUAS. This was accomplished in two parts. The first part of the study was a simulated pipeline experiment where a copper pipe and mass flow controller were used to mimic a natural pipeline leak close to the surface. The methane-stressed and healthy vegeta- tion were measured daily using a handheld spectrometer alongside two other forms of stressed vegetation. The analysis of the data showed potentially important variation at a two band combination of wavelengths. The second part of the study used the measured hyperspectral data as targets for a combination of atmospheric models developed using
* Many users could get the benefit from the GPR by providing precaution if any underground damage occurred especially in detecting water leakage. The problematic area could be mark directly during survey using GPR. The design o f electromagnetic wave is formed through GPR screen in realtime with its components: data collecting, data processing and modelling. Through the combinations o f those components, the Reflex 2D software is expected to provide the analysis sooner than the current timing. Finally, GPR would anticipate the non-destructive methods and helps to locate early leaks that would also prevent further damages.
We propose data allocation strategies (across the agents) that improve the probability of identifying leakages. These methods do not rely on alterations of the released data (e.g., watermarks). In some cases we can also inject “realistic but fake” data records to further improve our chances of detecting leakage and identifying the guilty party.
The main objective of this project is to find the guilt agents means the agents that leaks the data to the third party users for some financial uses or for some other activity. Actually using the fake objects and the watermarking methods which are use earlier for finding the guilt agent are very old methods. We propose a new method for finding the guilt agents based on the number of times agent access the data and the time duration agent access the data. For this approach we have a designed a flow at which we find the guilt agent even more simple and fast when compared to remaining approaches. For finding the details of the agents like how much time agent is using and accessing the files we have different approaches and also we can design some algorithms, but it takes lot of time and it will not be accurate. So there are some online sites for doing the same purpose in a very accurate way. We have taken sales handy website for this purpose it is meant for the tracking purpose of the files and emails so we have used it. We should upload the data we want to share to the agents and have to generate the link for the following data. The link will be shared to the agents in any of the existing methods that you prefer. After that you can monitor the details of the agents in the websites in your account. The data that was present in the site have to be extracted for the further purpose for that we used automation and create a bot for automatically extracting the data out of the website without any human work.
Secrecy of information over cloud is one of the glaring security concerns. Encryption of information should be possible with the customary methods. Be that as it may, encoded information can be secured from a pernicious client however the protection of information even from the chairman of information at administration provider’s end couldn't be covered up. Seeking and ordering on scrambled information remains a state of worry all things considered. Previously mentioned cloud security issues are a couple and dynamicity of cloud engineering are confronting new difficulties with quick execution of new administration worldview.
leakages. These methods do not rely on alterations of the released data (e.g., watermarks). In some cases, we can also inject “realistic but fake” data records to any improve our chances of detecting leakage and identifying the guilty party. We also present an algorithm for distributing the object to an agent. Our goal is to detect when the distributor’s sensitive information has been leaked by agents, and if possible to spot the agent that leaked the information. Perturbation may be a terribly helpful technique wherever the information is modified and made ‘less sensitive´ before being handed to agents. We develop unobtrusive techniques for detecting leakage of a set of objects or records. In this section, we have a tendency to develop a model for assessing the ‘guilt´ of agents. We also present algorithms for distributing objects to agents, in an exceedingly means that improves our chances of identifying a leaker.
Detection of boiler tube leakage is a very important factor for power plant functioning, as approximately 60% of boiler outage is due to tube leakages. The traditional method has many drawbacks in leakagedetection. In this study acoustic signal processing methods have been used to detect leaks in pressurized systems of utility and industrial power plants. A lab setup is designed and fabricated which mimics the boiler leakage. Leakage Sound waves are detected by transducers. The signal features are extracted. BPNN algorithm is used to study the datasets. Average specificity of 94% and sensitivity of 92% are obtained. Results show that the BPNN is able to detect tube leakages from holes of different diameters and distances efficiently. It emerges that this method of detection makes it promising as a real-time detector, which will progress the automatic detection of boiler tube leakage in boilers.
Qi, H. and J. F. Head  suggested that Wavelets have demonstrated some effectiveness for target detection. Traditionally, there are four primary applications of wavelet-based methods for target detection: These are as follows: • Wavelets as edge detectors.
Abstract: Information is a knowledge of an information to distributor has given sensitive data to a collection of purportedly trusty agents (third parties). a number of the info square measure leaked and located in AN unauthorized place (e.g., on the online or somebody’s laptop). The distributor should assess the chance that the leaked knowledge came from one or a lot of agents, as hostile having been severally gathered by different. The security policy contains information on what information is considered sensitive, how information and data transfers should be classified, and how incidents should be handled. Classification should be based on several factors including legal- and regulatory requirements, sensitivity and criticality, impact, and risks and threats. A data leakage incident response can vary in response time and appropriate action depending on the incident that occured. we tend to propose knowledge allocation methods (across the agents) that improve the chance of characteristic leakages. These strategies don't think about alterations of the discharged knowledge (e.g., watermarks). typically water marks will be destroyed if the info recipient is malicious. This paper focuses on sleuthing the distributor’s sensitive knowledge that has been leaked by agents, and it's doable to spot the agents that World Health Organization leaks the info. In some cases, we are able to additionally inject “realistic however fake” knowledge records to additional improve our possibilities of sleuthing leak and characteristic the wrongdoer.
is revealed by any new proposed leaky scheme, and then one proves that nothing more is leaked. Up until now, designers have lacked quantitative methods for evaluating or understanding the impact of the leakage. It has been mostly through empirical studies demonstrating specific attacks on specific data sets [22, 31, 12, 17, 36, 19] that understanding of the impact of leakage has advanced. As a result, the value of the qualitative analysis for predicting the real-world security of any new construction has been limited. In many ways, recent history in this area echoes the development of cryptographic protocols before the advent of provable security. In some cases, devastating inference attacks have gone undiscovered for several years after the publication of a new construction. In other cases, similar attacks have appeared quickly. The absence of known leakage attacks does not guarantee that no such vulnerabilities exist; a new attack might be discovered at any time. Similarly, the existence of one known attack does not mean that there are not also other, more serious vulnerabilities waiting to be discovered.
ABSTRACT: Due to the increasing popularity of multimedia streaming applications and services in recent years, the issue of trusted video delivery to prevent undesirable content-leakage has, become critical. While preserving user privacy, conventional systems have addressed this issue by proposing methods based on the observation of streamed traffic throughout the network. These conventional systems maintain a high detection accuracy while coping with some of the traffic variation in the network. By comparing videos of different lengths, we determine a relation between the length of videos to be compared and the similarity between the compared videos. Therefore, we enhance the detection performance of the proposed scheme even in an environment subjected to variation in length of video. Through a test bed experiment, the effectiveness of our proposed scheme is evaluated in terms of variation of video length, delay variation, and packet loss.
There is an exigent need for the efficient boiler tube leakagedetection because the boiler tube accidents may cause severe loss to life and property especially in power plants. Hence it is necessary to detect the leakage at the beginning itself and take necessary action in order to avoid loss of life and property. Though many methods are available, they are of high cost and some of the methods require shutting down of boilers for detecting leakage. This method can detect the leakage even when the boilers are functioning. Apart from detection it also involves controlling of the environment parameters and transmitter and receiver units. And also setting up of this project is simple compared with other methods. Hence this method is a highly suitable one for boiler tube leakagedetection. This project will serve the society.
It’s been more than ten years now since the disastrous landslip that occurred in Kwun Lung Lau on Hong Kong Island on 23 July, 1994. Since 1995, the Government of HKSAR has awarded tens of millions of dollars in contracts related to detection of leakage from buried water carrying services throughout the territory. As expected, this sequence of events generated an increasingly large pool of “underground Utility Specialists”, with most working almost independently, devoid of any standardized surveying methods, quality requirements (on survey results) and the “registration” of operation personnel in the market.
Various methods for gas booking are there in current system. This system shows that there is more time required to deliver LPG after booking. There is no such facility of continuous gas level monitoring system. And also there is no provision for gas leakagedetection and control action on gas leakage.We all are very busy in our daily life and it is difficult to know the status of LPG gas cylinder. If LPG is going to finish without informing us it can create very difficult condition for cooking etc. There is no facility for gas leakagedetection and control action.
The top layer is the implementation of the Java program functions; the next layer is a Dalvik virtual machine; it is Google-specific for the Java interpreter for the design and development of the Android as the Java program can run on its interpretation. The middle layer is the Native Interface, it is by the upper Java procedure call native code library; Binder layer is the communication mech- anism of a lightweight Android system which provides inter process; the bottom is modified through Linux system, provides the interface to interact with the mobile phone hardware. Android contains two types of native methods: internal VM methods (see “Appendix B”) and JNI methods (see “Appendix C”). The internal VM methods access interpreter-specific structures and APIs. JNI methods conform to JNI standards specifications, which requires Dalvik to separate Java arguments into vari- ables using a JNI call bridge. Conversely, internal VM methods must manually parse arguments from the inter- preter’s byte array of arguments.
The clean water is important for the human being in the world and most country government will be give the best water service for their citizen in the country. The cost for water treatment process to produce the clean water for the people is very expensive. A leakage is an accidental release of liquid. Pipeline leakage results from bad design or from any damaging cause, due to sudden changes of pressure, cracks, defects in pipes or lack of maintenance. The problem of leakage becomes serious when it is concerned with the important supply of fresh water to the residential or industrial areas. In popular cases, the damaging effects associated with the occurrence of leaks may present serious problems and therefore, leaks must be quickly detected, located and repaired. High possibility of environmental health tragedies due to delay in detection of water pipeline leaks have encouraged to improve the development of methods for pipeline leakagedetection. The water absence along with the significantly higher cost for water distribution and treatment, have generated a high interest in leakage problems. Water distribution in Malaysia is a large network of pipelines construction. The problem of water leakage from these pipelines will cause clean water contamination, low clean water supply and energy loss. In 2010, it is estimated at 1.87 billion cubic meters volume of water loss from these pipelines.
Tracing and enforcing are another approaches for data leak detection. It contains data flow and file-descriptor sharing enforcement. This approaches do not provide a remote service so this approaches are different from ours. The fuzzy fingerprint approach some other privacy preserving methods are invented for specific process, e.g., secure multi-party computation. SMC is a cryptographic mechanism it supports the string matching also complex functions. The advantage of the proposed system is its concision and efficiency.
divided into two categories: online leak detection system and discrete leak detection system . According to API 1130, conventional pipeline leak detection systems should be based on computational pipeline monitoring (CPU) . A number of pipeline leak detection models have been implemented on several pipeline systems . Leak- age detection technologies include the following meth- ods , the volume-mass balance method, the pressure monitoring method with statistical analysis and/or pat- tern matching, acoustic monitoring method, the transient leakagedetection method, etc. However, many methods are hedged in with their shortcomings, which are, long response time, and incidence of false alarm reporting, etc. .