Model Predictive Control of Offshore Power Stations With Waste Heat Recovery

The implementation of waste heat recovery units on oil and gas offshore platforms demands advances in both design methods and control systems. Model-based control algorithms can play an important role in the operation of offshore power stations. A novel regulator based on a linear model predictive control (MPC) coupled with a steady-state performance optimizer has been developed in the simulink language and is documented in the paper. The test case is the regulation of a power system serving an oil and gas platform in the Norwegian Sea. One of the three gas turbines is combined with an organic Rankine cycle (ORC) turbogenerator to increase the energy conversion efficiency. Results show a potential reduction of frequency drop up to 40% for a step in the load set-point of 4 MW, compared to proportional–integral control systems. Fuel savings in the range of 2–3% are also expected by optimizing on-the-fly the thermal efficiency of the plant.</jats:p

Conversion Prediction for Advertisement Recommendation using Expectation Maximization

Advertiser has to understand the purchase require-ment of the users who are looking for a particular service to recommend advertisement. Once the users’ demand is identified, advertisers can target those users with appropriate query. In this paper, predicting conversion in advertising using expectation maximization [PCAEM] model is proposed to provide influence of their advertising campaigns to the advertisers by understanding hidden topics in search terms with respect to the time period. Query terms present in search log are used to construct vocabulary. Expectation Maximization technique is used to learn hidden topics from the vocabulary. Least Absolute Shrinkage and Selection Operator (LASSO) is used to predict total number of conversion. Experiment results show that PCAEM model outperforms TopicMachine model by reducing Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) for prediction

Shape from perspective trihedral angle constraint

Abstract: This paper defines and investigates a fundamental problem of determining the position and orientation of a 3 0 object using $ingle perspective i m g e view. The technique is based on the interpretation of trihedral angle constraid informution. A new closed form solution io the problem is proposed. The method also provides a general analytic technique for dealing with a class of problem of shape from inverse perspective projection by using &quot;Angle to Angle Correspondence Information &quot;. Simulation experiments show that our method is enective and robust for real application. t This research ispariially supported by ONR NooO14-91-J1306

Prime Suspects: The Corrosive Influence of Local Television

Local television news is the public’s primary source of public affairs information. News stories about crime dominate local news programming because they maintain high audience demand. The prevalence of this type of reporting has led to a crime narrative or “script” that includes two core elements: crime is violent and perpetrators of crime are non-white males. We show that this script has become an ingrained heuristic for understanding crime and race. Using a multi-method design, we assess the impact of the crime script on the viewing public. Our central findings are that exposure to the racial element of the crime script increases support for punitive approaches to crime and heightens negative attitudes about African-Americans among white, but not black, viewers. In closing, we consider the implications of our results for intergroup relations, electoral politics, and the practice of journalism