Create a 5 pages page paper that discusses analysis of a diagnosis of a behavioral disorder in a teenage. Based upon his school reports, he has always been a shy boy, tending to prefer his own company to active interaction with his peers at school. He performs well in ICT based work, but where his oral skills and class participation is concerned, A seems reluctant to take an active part. As per his school assessment reports, A stutters and blushes when asked to make oral presentations and appears to be tongue-tied most of the time. During P.E. sessions, he appears to prefer solitary physical activities as opposed to playing in teams. He appears anxious and nervous when interacting with his peers and teachers and spends his lunch breaks eating alone or playing on the school computers.

A reports that he prefers to be alone most of the time out of the fear that his peers might find him awkward and he is afraid he might embarrass himself when interacting with them. He also reports that his inner anxiety tends to make him self-conscious and irritable whenever he finds himself in situations where he needs to interact with others. He also has difficulty sleeping most nights, because of the tension generated through his thoughts and worry about facing school every day. His family environment only appears to exacerbate his condition, because he is the only child and both his parents also lead fairly solitary lives. An also reports that since the onset of adolescence, he has only found himself even more anxious and self-conscious.

There is no indication that A is abusing drugs, he reports that he does not drink either, so he is not in danger of developing the symptoms of alcoholism. As per the diagnostic criteria laid out in the DSM-IV, it appears that A is suffering from generalized social anxiety disorder, because it is “not due to the direct psychological effects of a substance (e.g., a drug of abuse, a medication) or a general medical condition (e.g., hyperthyroidism).

Hi, need to submit a 1500 words paper on the topic Analysis of Logged OBDII Data. The rest of the analysis follows the method of Holmén & Niemeier (1998) whereby the logged data is separated into events. Each event was determined to last for one linearised sample interval (1 second).

Events are separated firstly into the cruise, positive acceleration, and negative acceleration. A cruising event is defined as occurring when the vehicle is non-stationary and the acceleration is below a set threshold. This was set to 0.5 ms-2 which provided a good balance of cruise/acceleration events in the datasets considered.

Information on gear selection is not directly available via OBDII PIDs. It is possible however consider the ratio of vehicle speed to engine speed. There are however three potential unknowns required in addition to deriving the gear result. These are gear ratios, differential ratio (for rear-wheel drive), and tire radius. Even with a priori knowledge of a given car gearbox/differential, there is no way of deriving tire radius as these may be changed as aftermarket items. A more generic solution to determining gear ratio is thus preferential.

It is possible to use a cluster type analysis in order to derive the current gear. An analysis of the distribution of vehicle to engine speed ratio will yield peaks at each valid gear. There will be some noise associated with actions during clutch depression (e.g. revving, coasting) or wheel spinning caused by traction loss.

In order to establish gear positions a normalized distribution of vehicle to the engine, the speed ratio was calculated (200 bin histogram). Calculating the ratio this way avoids the divide by zero that occurs when the vehicle is stationary. A threshold was then used to effectively mask the random noise which is spread fairly across the distribution. Any value below this threshold is zeroed. Experimentally, a threshold value of 0.05 worked well for this purpose. The resulting maxima were then detected for a significant change in the first-order differential of the data.