in developing countries, it is common to site (or locate) industries without environmental impact assessment. in this study the impacts of two food processing industries on land use and land capability, noise and vibration, environmentally sensitive areas and visual quality as environmental elements were investigated. the research method adopted was the investigative survey research approach (i...

How to analyze the features of stock price accurately and master the regularity of stock price changing with time quickly and effectively is of great theoretical and realistic significance and is an important research direction in financial field. For complicated non-linear and periodic variations of stock prices, a parallel computing model is proposed in this paper based on stock prediction al...

We present an online approach to portfolio selection. The motivation is within the context of algorithmic trading, which demands fast and recursive updates of portfolio allocations, as new data arrives. In particular, we look at two online algorithms: Robust-Exponentially Weighted Least Squares (R-EWRLS) and a regularized Online minimum Variance algorithm (O-VAR). Our methods use simple ideas f...

DFA ANALYSIS OF FINANCIAL DATA Bronson Argyle Physics Department Bachelor of Science Recent developments in the field of biophysics, both in findings and methods, have consequences that extend not only into physics in general, but may have application in a rigorous mathematical analysis of financial markets. Specifically, we apply the interpretative power of the Detrended Fluctuation Analysis t...

Tracks:  eHealth technology and devices  eHealth data records  eHealth information processing  eHealth systems and communications  Telemedicine/eHealth applications  Telemedicine/eHealth services  Social and financial aspects  Classical medicine and eHealth integration  Preventative eHealth systems  Challenges of large-scale, cost-effective eHealth systems  Nurse team applications  ...

Financial forecasting is an example of a signal processing problem which is challenging due to small sample sizes, high noise, non-stationarity, and non-linearity. Neural networks have been very successful in a number of signal processing applications. We discuss fundamental limitations and inherent difficulties when using neural networks for the processing of high noise, small sample size sign...