https://sites.temple.edu/assessment/
In my conversation last week with Karen Kohn, we discussed the necessity of humans interacting with data to achieve the best analytical results. We were exploring statistics from EBSCO on the use of our e-books to understand the top subject areas within this platform. I shared with Karen the ChatCPT-generated analysis of usage trends and she described her alternative tool of choice – the ...
https://cis.temple.edu/tagit/presentations/Hopfield%20Networks%20is%20all%20you%20need.pdf
Note that there are 2,500 pixels in each image, the size of the weight matrix will be 2500 × 2500, but only learned by ONE image. Two natural problems will arise. 1) How many patterns can one
https://cis.temple.edu/~wu/research/publications/Publication_files/ICDE2024_Xu.pdf
Abstract—In this paper, we investigate the competitive content placement problem in Mobile Edge Caching (MEC) systems, where Edge Data Providers (EDPs) cache appropriate contents and trade them with requesters at a suitable price. Most of the existing works ignore the complicated strategic and economic interplay between content caching, pricing, and content sharing. Therefore, we propose a ...
https://cis.temple.edu/~apal/ipic_food.pdf
Computer and Information Sciences, Temple University, Philadelphia, PA 19122 E-mail:famitangshu.pal,kkantg@temple.edu Abstract: In this paper, we introduce a Physical Internet architecture for fresh food distribution networks, with the goal of meeting the key challenges of fresh product delivery and reduce waste. In particular, we explore fuel-efficient delivery of fresh food among different ...
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 ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/AVOA_Fuzzy.pdf
Abstract—The Internet of Things (IoT) has rapidly grown in the past decade as an emerging technology. Due to the heterogeneity and energy limitations of IoT devices, adopting eficient management practices for developing IoT applications and managing IoT networks is a challenging task. One of the most critical IoT challenges that needs to be considered is routing due to its significant impact ...
https://cis.temple.edu/~tug29203/22spring-4319/lectures/ch5b-2.pdf
Chapter 5 Network Layer: The Control Plane A note on the use of these Powerpoint slides:
https://cis.temple.edu/~wu/teaching/Spring2018/distributed-computing-2018.pdf
1. In your opinion, what is the future of the computing and the field of distributed systems? 2. Use your own words to explain the differences between distributed systems, multiprocessors, and network systems. 3. Calculate (a) node degree, (b) diameter, (c) bisection width, and (d) the number of links for an nx n2-d mesh, an n x n2- d torus, and an n-dimensional hypercube.
https://community.mis.temple.edu/mis5121beaver/files/2015/02/Ex-2-Order-to-Cash-Guide.pdf
Focus Order-to-Cash Cycle and Accounting Entries Test of Transactions Application Controls
https://cis.temple.edu/~latecki/Papers/cvpr00.pdf
Abstract The Core Experiment CE-Shape-1 for shape descriptors performed for the MPEG-7 standard gave a unique oppor-tunity to compare various shape descriptors for non-rigid shapes with a single closed contour. There are two main dif-ferences with respect to other comparison results reported in the literature: (1) For each shape descriptor, the exper-iments were carried out by an institute ...