Service Oriented Software Engineering Article Example | Topics and Well Written Essays - 1000 words

Service Oriented Software Engineering - Article Example The platforms based on Component Based Development, such as CORBA, Java Beans, and.NET, are such standards for developing complex Web-based systems. The increasing interest in web based services has made the industry to provide platform-independent software resources (W3C, 2004). The Internet, can be used as a provider of different kinds of services. Using Web services, organisations are now able to expose their main and the most important business processes on the Internet as a collection of services. The main issue is not about using web services as a new technology but in how best to make use of web service technology and therefore how to integrate them properly. We need to apply well-defined engineering approaches to ensure we will not end up with an accumulation of unusable services (which might be functional in theory). The goal is to collaborate and coordinate between components that provide these services. Service Oriented Software Engineering (SOSE) is the approach used for this purpose. The first and main concept in Service Oriented Software Engineering is â€Å"service†. The service is the descriptor of an agreement between provider of the service and its consumer. It is a reusable functionality and it is contractually defined. Service Orientation focuses on how services are described in a way to help finding appropriate services at run time dynamically. Service orientation is based on the idea that a service requester is not necessarily in need of one particular provider. Service providers can be changed with each other as long as they follow the contract imposed by the description of the service. The main assumption in Service Orientation is the availability of services dynamically. The service registry is the entity in between the requesters and providers. It contains a set of service descriptions and their related providers. It helps with service publication, removal, and discovery. Service composition represents the way to use a set of

Enveloping and PeakVue Research Paper Example | Topics and Well Written Essays - 1500 words

Enveloping and PeakVue - Research Paper Example Due to its high precision, the method is able to detect the emission of stress waves caused by direct contact of adjacent metallic surfaces at an early stage. Generally, through spectral analysis the frequency of repetition of the stress waves is availed. By peakvue, the resonance zones are isolated through use of filters. Capturing the peak values for particular intervals of the selected sampling time is done through the application of high frequency clustering of signals with over one hundred kilo Hertz. The method goes through four stages The initial stage in which the low frequency signals are eliminated by taking the entire signal through a high pass filter. The amplitudes are run through the accelerometer which detects the measurements and is able to classify them according to the initially specified cut-off frequency level. All the measurements reading below the designated cut-off level are classified together. They are effectively eliminated which implies that only the high f requency readings- those above the cut-off level, proceed to the second phase of the analysis procedure. By elimination it means that such values are truncated from the recorded measurements such that their consideration ends at that phase. The second phase that involves the digital conversion of frequency. The high frequency signal is changed from its initial analog form to digital form in order to begin the spectral 0246analysis. Normally, high frequency values will be recorded for particular sections along the surface of the bearing. Therefore whenever the metallic surfaces come into contact during the rotation, the frequencies hit a peak. If special readings were availed at phase two for any specific time duration, it will be analyzed here. If for specified time duration the amplitude levels of the converted signals read beyond a predefined threshold it is then matched to a digital value. The essence of this matching is that it is not always possible to produce signals with equa l frequencies, even when the components are running on a fairly flat or even ground. This could be the result of instantaneous change in the position of the load, continued distribution of the lubricant along the colliding surfaces, and varying positioning of the emerging fault. Therefore, the simplest way to conclude that the frequencies were derived from a ‘certain’ spot along the surface of the bearing is to cluster all measurements within a certain range. These measurements clustered together are then assigned a specific digital value, which identifies them together. The display is rendered once the digital value corresponding to the particular time interval is processed using the Fast Fourier Transform (FFT) algorithm. The FFT algorithm works out the Discreet Fourier Transform and the corresponding inverses. To obtain the Discrete Fourier Transform, a sequence of amplitude values is decomposed to form components of varying frequencies. The frequencies so formed are categorized according to their closeness, that is, according to pre-determined intervals. The classification is done with reference to how often a specific range acquires numerical frequency. For example if the outlier frequency is too scarce, the measurements thus classified can be overlooked and ignored. If there is higher consistency in the numerical frequency of measurements with