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Wireshark_TCP.pdf - Temple University

https://cis.temple.edu/~tug29203/18spring-3329/reading/Lab_7_Solutions.pdf

The answers below are based on the trace file tcp-ethereal-trace-1 in in

TileSR: Accelerate On-Device Super-Resolution with Parallel Offloading ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/m37113-chen%20final.pdf

Abstract—Recent years have witnessed the unprecedented performance of convolutional networks in image super-resolution (SR). SR involves upscaling a single low-resolution image to meet application-specific image quality demands, making it vital for mobile devices. However, the excessive computational and memory requirements of SR tasks pose a challenge in mapping SR networks on a single ...

Privacy Statement - Temple University

https://www.temple.edu/privacy-statement

This privacy statement applies to Temple University’s domains (temple.edu), websites, applications and IT (Information Technology) services, and governs and explains Temple’s data collection and usage.

Winnie-the-Pooh and hundreds of other works are now in the public ...

https://news.temple.edu/news/2022-01-24/winnie-pooh-and-hundreds-other-works-are-now-public-domain

Temple University Beasley School of Law professor Donald P. Harris discusses public domain and its implications for companies like Disney.

Introduction to Markov Random Fields - Temple University

https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/RandomFields_Sarah.pdf

Stochastic processes as Dynamic Bayesian Networks Dynamic Bayesian Network is a probabilistic graphical model that represents a sequence of random variables and their conditional dependencies.

Distributed System Design: An Overview* - Temple University

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.

1 QoS-aware Online Service Provisioning and Updating in Cost-efficient ...

https://cis.temple.edu/~wu/research/publications/Publication_files/10_bare_jrnl_compsoc.pdf

1.1 Motivation and Challenges Service provisioning and updating refers to the decision-making process of the locations of services within a specific edge computing network to balance the interests of service providers and consumers to achieve the greatest eficiency possible [7]. Numerous mobile devices and sensors in edge networks need to interface with services and exchange data in real-time ...

DeepIDPS: An Adaptive DRL-based Intrusion Detection and Prevention ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICC2024.pdf

Abstract—Most intrusion detection systems (IDS) are vul-nerable to novel attacks and struggle to maintain a balance between high accuracy and a low false positive rate. Furthermore, the relevant features of Distributed Denial of Service (DDoS) attacks in conventional networks may not necessarily apply to the Software-defined network (SDN) environment. Additionally, weak feature selection ...

Joint Mobile Edge Caching and Pricing: A Mean-Field Game Approach

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 ...

Microsoft Word - Ex 2 Order to Cash Guide.docx

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