Systems employed during surveillance activities might be enhanced usin

Question

Systems employed during surveillance activities might be enhanced using anomaly detection capabilities. Such capabilities can be employed to highlight those situations, events or objects that need operator's attention, reducing, thus, their cognitive load and reaction time. Early detection of such situations provides critical time to take appropriate action with, possibly before potential problems occur. However, the detection of such conflict situations or general anomalous behavior in surveillance data is a complex analytical task that normally cannot be solved using purely visual analysis or purely automatic computational methods. On the one hand, the success of purely visual analysis methods for area surveillance often depend on factors such as the amount of sensor data that needs to be monitored, time constraints, or even operators' cognitive load and level of fatigue. On the other hand, current automatic anomaly detection solutions normally present high false alarm rates when dealing with complex situations. The high number of false alarms can become a nuisance for operators, who might react by turning anomaly detection capabilities off. Some researchers dispute the use of fully autonomous discovery systems in real-world settings, highlighting the need of including human knowledge in the discovery process.

Most of the published work on anomaly detection focuses on the technological aspects: new and combinations of methods, additional improvements of existing methods, reduction of false alarms, correlations among alarms, etc. Publications regarding the use of anomaly detection methods in real environments, or human factors studies regarding anomaly detection, are scarce. In order to find optimal combinations of human expert knowledge and computational methods for anomaly detection, it is important to investigate how the surveillance of sea areas is carried out. This domain is suitable for the study of finding optimal combinations of expert knowledge and computational methods, since it fulfils the characteristics of many data-intensive domains – large amounts of multivariate data, the need for operator support to solve complex problems, the need for situation awareness to promote effective decision-making etc. Knowledge of how the analysis of traffic data is carried out in a daily-basis can be used to propose how to support such processes using data mining and visualization methods  1. The primary purpose of the passage is to

A. establish that manual analysis of surveillance data is equally important as automatic detection systems. 
B. claim that a specific sector in surveillance system can be a feasible area for research. 
C. prove that the current surveillance systems are not adequately efficient. 
D. explain how automatic surveillance, when integrated with manual detection, would be beneficial. 
E. compare the advantages and disadvantages of visual analysis method and automatic detection solutions.

1 
 B

2. The passage does not necessarily imply any of the following statements except that

A. the main drawback of the autonomous anomaly discovery systems is that they can never achieve zero false alarm rates. 
B. further research in sea traffic movement can determine the best possible combination of human expert knowledge and computational method. 
C. research in surveillance system has not been properly carried out because of the difficulty of analysing huge amount of data associated with the domain. 
D. some researchers do not disagree that fully automatic surveillance methods can practically eliminate the requirement of human intervention. 
E. no research work has been done on the non-technological aspect of the anomaly detection system.

2 
 D

3. According to the passage, which of the following does the author consider a criterion for selecting a field of research in automation optimisation?

A. Enhancement of safety aspects 
B. Inadequate research in the field 
C. Number of false alarms generated 
D. Complexity of analysis 
E. Requirement of human knowledge

3 
 E

4. Which of the following statements is contradicted by the implications presented in the passage?

A. Some optimisation problems require a lot of statistics and facts to be available in order to be considered a potential research field. 
B. Operators are not authorised to change the settings of the automatic anomaly detection systems. 
C. The automatic anomaly detection systems need to be more sensitive in order to be more effective in complex situations. 
D. To correctly choose a course of action, operators of maritime surveillance system need perception of prevailing conditions. 
E. Early detection of anomalous situation cannot always help avoid mishaps.

4 
 C

Prateek176 · Answer

I encountered this passage during gmatclub test. Found it really difficult and felt that the explanations were somewhat limited. Looking forward to some healthy discussion. Please post the POE as well.

Thanks

Thanks

Nikhil · Answer

If you found it on the GMAT club tests, they are already discussed on the forum. You can review your test and see the explanations. Also you can search the forum v11-211386.html

Systems employed during surveillance activities might be enhanced usin

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