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Southfield, MI, United States

Lawrence Technological University, also known as Lawrence Tech or simply LTU, is a private university located in Southfield, Michigan. The school offers undergraduate, masters, and doctoral programs in engineering, science, mathematics, architecture, graphic design, and business. Lawrence Technological University's four colleges are Architecture and Design, Arts and science, Engineering, and Management.Lawrence Tech was founded in 1932 in Highland Park, MI by the Lawrence brothers as the Lawrence Institute of Technology and adopted its current name in 1989. The school mascot is the blue devil, and the school colors are blue and white. Lawrence Tech moved to Southfield, Michigan from its site in Highland Park, Michigan in 1955. It is located at the John C. Lodge Freeway and 10 Mile Road, at the present time.Lawrence Tech has consistently been among the Top Tier for "Universities–Master's " by U.S. News & World Report. It was ranked 37th out of several hundred Midwestern Universities in 2006, and 47th in 2007, 40th in 2008, and 55th in 2009. In addition, the University tied for 49th of 100 "Best Undergraduate Engineering Programs" in U.S. News & World Report '​s Best Universities-Masters-Midwest in 2010. Other distinctions include: Princeton Review “Best in the Midwest" in 2010; Carnegie Foundation for the Advancement of Teaching recognition, 2009; G. I. Jobs "Military Friendly School," 2010; State of Michigan Center of Excellence for Sustainable Infrastructure and Structural Testing; an Intel "Top 50 Unwired Campus"; a Michigan Green Leader; Architectural Record among "America's Best Architectural Schools" in construction methods and materials; and Michigan's Going Green Award." Bloomberg-Businessweek also reported that the earning power of a Lawrence Tech bachelor's degree ranks in the highest 30 percent of all U.S. universities. Wikipedia.


Shamir L.,Lawrence Technological University | Wallin J.,Middle Tennessee State University
Monthly Notices of the Royal Astronomical Society | Year: 2014

We applied computational tools for automatic detection of peculiar galaxy pairs. We first detected in Sloan Digital Sky Survey DR7 ~400 000 galaxy images with i magnitude <18 that had more than one point spread function, and then applied a machine learning algorithm that detected ~26 000 galaxy images that had morphology similar to the morphology of galaxy mergers. That data set was mined using a novelty detection algorithm, producing a short list of 500 most peculiar galaxies as quantitatively determined by the algorithm. Manual examination of these galaxies showed that while most of the galaxy pairs in the list were not necessarily peculiar, numerous unusual galaxy pairs were detected. In this paper, we describe the protocol and computational tools used for the detection of peculiar mergers, and provide examples of peculiar galaxy pairs that were detected. © 2014 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. Source


Eamon C.D.,Wayne State University | Jensen E.,Lawrence Technological University
Engineering Structures | Year: 2012

A procedure for conducting reliability analysis of prestressed concrete beams subjected to a fire load is presented. This involves identifying relevant load combinations, specifying critical load and resistance random variables, and establishing a high-temperature performance model for beam capacity. Based on the procedure, an initial reliability analysis is conducted using currently available data. Significant load random variables are taken to be dead load, sustained live load, and fire temperature. Resistance is in terms of moment capacity, with random variables taken as prestressing steel ultimate strength, concrete compressive strength, placement depth of strands, beam width, and thermal diffusivity. A semi-empirical model is used to estimate beam moment capacity as a function of fire exposure time, which is calibrated to experimental data available in the literature. The effect of various beam parameters were considered, including cover, aggregate type, concrete compressive strength, dead to live load ratio, reinforcement ratio, end restraints, fire exposure, and proportion of end strands to total strands. Using the suggested procedure, reliability was estimated from zero to four hours of fire exposure using Monte Carlo simulation. It was found that reliability decreased nonlinearly as a function of time, while the most significant parameters were concrete cover, load ratio, fire type, end restraints, and proportion of end strands to total strands. © 2012 Elsevier Ltd. Source


Shamir L.,Lawrence Technological University
Leonardo | Year: 2012

Recent advances in computer vision and image processing have enabled basic automatic analysis of visual art. The author uses computer analysis to extract thousands of low-level numerical image content descriptors from digitized paintings, which are then used to compare objective levels of similarity between the artistic styles of different painters. The analysis reveals that Vincent Van Gogh's and Jackson Pollock's artistic styles are far more similar to each other in terms of low-level image features than Pollock's work is to that of other painters'. This report also proposes that this methodology is useful in quantifying similarities between painters or artistic styles based on large sets of numerical image content descriptors and for detecting influential links not easily detected by the unaided eye. © 2012 ISAST. Source


Shamir L.,Lawrence Technological University
Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics | Year: 2012

A dataset of 126,501 spiral galaxies taken from Sloan Digital Sky Survey was used to analyze the large-scale galaxy handedness in different regions of the local universe. The analysis was automated by using a transformation of the galaxy images to their radial intensity plots, which allows automatic analysis of the galaxy spin and can therefore be used to analyze a large galaxy dataset. The results show that the local universe (z<0.3) is not isotropic in terms of galaxy spin, with probability P<~5.8{dot operator}10 -6 of such asymmetry to occur by chance. The handedness asymmetries exhibit an approximate cosine dependence, and the most likely dipole axis was found at RA=132°, DEC=32° with 1σ error range of 107°-179° for the RA. The probability of such axis to occur by chance is P<1.95{dot operator}10 -5. The amplitude of the handedness asymmetry reported in this Letter is generally in agreement with Longo, but the statistical significance is improved by a factor of 40, and the direction of the axis disagrees somewhat. © 2012 Elsevier B.V. Source


Das B.B.,Lawrence Technological University | Kondraivendhan B.,Nanyang Technological University
Construction and Building Materials | Year: 2012

In this study, compressive strength, permeability and hydraulic diffusivity of three different grades of concrete have been estimated through pore size distribution (PSD) parameters by using mercury intrusion porosimetry (MIP). For this purpose, cubical concrete specimens are crushed and the broken concrete chunks with aggregates are collected from different grade of concrete mixes such as M20, M30 and M40. These concrete specimens are tested at wide range of ages such as 1, 3, 7, 28, 56 and 90 days of curing. From the cumulative intruded volume versus pressure data obtained from MIP experimentation, the experimental pore size distribution parameters such as mean distribution radius (r 0.5), dispersion coefficient (d) and permeable porosity (P) are calculated. The estimated PSD parameters are used to estimate the compressive strength, permeability and hydraulic diffusivity through the readily available relationships for compressive strength, permeability and hydraulic diffusivity. © 2011 Elsevier Ltd. All rights reserved. Source

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