In this paper, we describe the design of a profile generator toolkit, which aims to automatically create realistic user profiles for a mobile personalized portal service. These profiles simulate actual user behavior and are utilized to experiment with a personalized crawling system, called eRACE. With the help of this tool, we will assess the performance and scalability of the eRACE system by c...

As users navigate online social spaces, they encounter numerous personal profiles, each displaying a unique constellation of attributes. How do users make sense of this information? In our first study, we provide evidence that users spontaneously make personality trait inferences about people from profiles they encounter online, and for certain profiles, preferentially remember this inferred tr...

Most of the existing personalization systems such as content recommenders or targeted ads focus on individual users and ignore the social situation in which the services are consumed. However, many human activities are social and involve several individuals whose tastes and expectations must be taken into account by the system. When a group profile is not available, different profile aggregatio...

Profile-driven optimization can produce substantial improvements in the quality of code produced by a compiler or link-time optimizer. In this work, we analyze several important aspects of profile-driven optimization. We examine the effectiveness of profile-driven optimization in two commercial-quality optimizers (Digital’s GEM compiler and the link-time optimizer ‘alto’). We perform analyses t...

Guided waves have been the attractive ways for the nondestructive inspection of the large structure because of their many advantages. The characteristics of guided waves are presented; some consideration of guided waves in the large structure inspection is stated; excitation methods and their merits and shortcomings are introduced. Several typical applications of guided waves in the large struc...

this paper deals with volume fraction optimization of functionally graded (fg) beams resting on elastic foundation for maximizing the first natural frequency. the two-constituent functionally graded beam consists of ceramic and metal. these constituents are graded through the thickness of beam according to a generalized power-law distribution. one of the advantages of using generalized power- l...

There are a broad selection of code-improving optimizations and scheduling techniques based on profile information. Industry has been slow to productize these because traditional ways of profiling are cumbersome. ProJiling slows down the execution of a program by factors of 2 to 30 times. Software vendors must compile, profile, and then re-compile their products. In addition, profiling requires...

In this paper, multi-objective optimization of railway wheel web profile using bidirectional evolutionary structural optimization (BESO) algorithm is investigated. Using a finite element software, static analysis of the wheel based on a standard load case, and its modal analysis for finding the fundamental natural frequency is performed. The von Mises stress and critical frequency as the proble...