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A large number of researchers are working on face detection based either on facial features or skin color to detect human face. Face detection is currently an active research topic because it has a wide area of applications. Face detection is the first step in any automated system such as: face recognition, facial expression recognition, and security system. The challenges associated with face detection such as variable face orientations, different face sizes, partial occlusions of faces, and changeable lighting conditions. Without accurately detecting human faces, the target tracking or any other subsequent processing will be wrong .Several face detection systems have been introduced.
One of the major disadvantages of horizontal audit is that, it is more complicated to relate different processes of same criteria. We can take an instance as an example where only document control is considered but we cannot relate how document control helps in the process of supply ordering and customer satisfaction (Clinical pathology accrediation (UK) ltd, 2000). These can be useful that helps in the improvement in sales. But horizontal audit can be excellently advantageous in follow ups of corrective actions for enabling the effectiveness. It audits a particular aspect of quality management system.
One.ERP/One.Finance project has very complex reporting hierarchy because many stakeholders are involved in this project. Several people are included in communication chain and at the end, sometimes; topic deviate from the original agenda and becomes something else. Therefore, it is very important to have very effective and quality communication involving right people instead of exchanging the chain of emails. The accuracy and frequency of information is also important for effective communication between local and central teams as well as functional and operational teams. Within Deutsche Telekom group, various means of communication are available such as email, telephone, web meetings, videocon and face to face meetings.
And as such unstructured interviews are appropriate for collecting data in narrative research design (Hennink et al., 2011). One of the primary disadvantages of using the unstructured interview methods is that this method is time-consuming and produces a lot of data (Alsaawi, 2014). However, this voluminous data is appropriate in enabling the researcher to understand and get in-depth information on a phenomenon (Bryman, 2016). Of the various approaches of interviewing, the semi-structured interview is the most commonly used data collecting method in social science research (Brinkman, 2013). It employs both the structured and unstructured interview methods, meaning that the researcher uses both the open-ended and close-ended questions.
Various advantages and disadvantages of white box testing are following: Table1.3 Advantages and Disadvantages of White-Box Testing Advantages Disadvantages • As the tester has knowledge of the source code, it becomes very easy to find out which type of data can help in testing the application effectively. • It helps in optimizing the code. • Extra lines of code can be removed which can bring in hidden defects. • Due to the tester's knowledge about the code, maximum coverage is attained during test scenario writing. Due to the fact that a skilled tester is needed to perform white box testing, the costs are increased.
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At the point when these are physically made, copy work and consistency administration are required. Another issue that originates from displaying is the round-trek issue. In complex frameworks a considerable measure of models and curios are required, and a few unique levels of deliberation. This additionally builds the many-sided quality of the connections between them. So when a change should be done in a relic that influences different curios and connections now and again it is difficult to mechanize the whole process.