https://www.alumni.temple.edu/s/705/images/editor_documents/alumni_site/acres_of_diamonds_speech.pdf?cc=1
Russell H. Conwell I am astonished that so many people should care to hear this story over again. Indeed, this lecture has become a study in psychology; it often breaks all rules of oratory, departs from the precepts of rhetoric, and yet remains the most popular of any lecture I have delivered in the fifty-seven years of my public life. I have sometimes studied for a year upon a lecture and ...
https://cis.temple.edu/~giorgio/cis587/readings/constraints.html
Introduction and Definitions Search can be made easier in cases where the solution insted of corresponding to an optimal path, is only required to satisfy local consistency conditions. We call such problems Constraint Satisfaction (CS) Problems. For example, in a crossword puzzle it is only required that words that cross each other have the same letter in the location where they cross. It ...
https://liberalarts.temple.edu/research/labs-centers-institutes-temple-university-college-liberal-arts/criminal-justice-training-program
Criminal Justice Training Programs Start your career in the Criminal Justice field with one of Temple's Criminal Justice Training Programs!
https://www.fox.temple.edu/sites/fox/files/documents/CVs/marco-shaojun-qin-cv.pdf
“Quantifying the Competitive Impact of Sharing Economy Platform’s O2O Strategy: Evidence from a Natural Experiment” Marco Shaojun Qin, Xueming Luo Bo Xu and Haichao Zheng
https://cis.temple.edu/~latecki/Courses/CIS2166-Fall18/Lectures/MatrixAlg1.pdf
A matrix is a rectangular array of numbers or other mathematical objects, for which operations such as addition and multiplication are defined. Most of this article focuses on real matrices, i.e., matrices whose elements are real numbers. For instance, this is a real matrix: The numbers, symbols or expressions in the matrix are called its entries or its elements. The horizontal and vertical ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/IEEE%20TMC-2025%EF%BC%88Forward_Legal_Anonymous_Group_Pairing-Onion_Routing_for_Mobile_Opportunistic_Networks%EF%BC%89.pdf
a group can potentially act as a relay. To ensure message authenticity, we employ the efficient SM2 signing algorithm to generate signatures for the message source. Furthermore, by incorporating parameters such as the public key validity period and master key validity period into the group pairing-onion routing protocol, we achieve forward security in message delivery. We conduct a thorough ...
https://faculty.cst.temple.edu/~tuf43817/PHYS4796/Jacob_Shin-Physics_4796___Two_Slit.pdf
I. INTRODUCTION Performing the classic 2-slit and 1-slit experiments using one photon at a time was important since it confirmed that interference and quantum phenomena still occur with just one photon. Then 2-slit and 1-slit experiments used double slits and single slits, respectively, with apertures much smaller than the distance between the detector and slits. When light passed through the ...
https://cis.temple.edu/~latecki/Courses/CIS750-03/Lectures/Siddu_RegionGrowing.ppt
Contents Brief introduction to Image segmentation Types of Image segmentation Region growing and Shrinking (split /merge ) method Applications of Image segmentation Results Introduction The shape of an object can be described in terms of: Its boundary – requires image edge detection The region it occupies – requires image segmentation in homogeneous regions, Image regions generally have ...
https://bulletin.temple.edu/courses/sswg/
This is the first of two courses focused on theory-informed social work direct practice with individuals and families. This course emphasizes how our theoretical knowledge base of human behavior and human development (within the context of the social environment) impacts our engagement with and assessment of individuals. The course begins with an exploration of the role of human behavior ...
https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf
Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...