Much research has recently been carried out on the incorporation of trust models into recommender systems. It is generally understood that trust-based recommender systems can help to improve the accuracy of predictions. Moreover they provide greater robustness against profile injection attacks by malicious users. In this paper we analyze these contentions in the context of two trust-based algor...

This paper describes a new representation for people and animals, called a body plan. The representation is an organized collection of grouping hints obtained from constraints on color, texture, shape, and geometrical relations. Body plans can be learned from image data, using established statistical learning techniques. Body plans are well adapted to segmentation and recognition in complex env...

The speed profile of the train will be determined according to criteria such as safety, travel convenience, and the type of electric motor used for traction. Due to the passengers and cargo on the train, the electric train load is constantly changing. This will require reassigning the speed controller’s parameters of the electric train. For this purpose, the Gravitational Search optimization Al...

Energy consumption by software applications is one of the critical issues that determine the future of multicore software development. Inefficient software has been often cited as a major reason for wasteful energy consumption in computing systems. Without adequate tools, programmers and compilers are often left to guess the regions of code to optimize, that results in frustrating and unfruitfu...

This paper describes the design and implementation of an optimizing compiler that automatically generates profile information to assist classic code optimizations. This compiler contains two new components, an execution profiler and a profile-based code optimizer, which are not commonly found in traditional optimizing compilers. The execution profiler inserts probes into the input program, exec...

The relationship between how accurately a profile predicts future program behavior and how useful it is for profile directed optimization is not straightforward. We gathered extensive data on the results of profile-driven optimization using two different optimization systems (cc [1] and alto [4]) and selected benchmarks and benchmark runs from the SPEC95 and SPEC2000 suites. Instead of followin...

The Optimizer proposed in this paper addresses the problem of running a gas turbine optimally to maximize the operational profit of a power utility subject to fluctuating energy prices and changing operating conditions. The proposed optimization scheme determines the optimal load profile of a gas turbine that maximizes the operational profit generated from sale of electricity subject to fuel co...

Feedback-directed optimization (FDO) is a general term used to describe any technique that alters a program’s execution based on tendencies observed in its present or past runs. This paper reviews the current state of affairs in FDO and discusses the challenges inhibiting further acceptance of these techniques. It also argues that current trends in hardware and software technology have resulted...

Position-controlled systems driving repetitive tasks are of significant importance in industrial machinery. The electric actuators used these responsible for a large part the global energy consumption, indicating that major savings can be made this field. In context, motion profile optimization is very cost-effective solution as it allows more energy-efficient machines without additional hardwa...