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"Joint Data Upload and Targets Coverage in Solar-Powered IIoT Networks" by Ying Liu, Kwan Wu Chin et al.

In this article, we study an industrial Internet of Things (IIoT) network with a sink/gateway that is capable of decoding multiple transmissions via successive interference cancellation (SIC), and energy harvesting devices tasked with providing complete targets coverage of targets. In particular, we study a novel question: how to schedule the sensing and transmission of these devices to ensure complete target coverage over time? We outline a mixed integer linear program (MILP) and two heuristic ...
Energy Harvesting Nterference Cancellation Mathematical Programming Signal To Noise Ratio Uccessive Interference Cancellation Sic Argets Coverage
Source: uow.edu.au

Statistics, operations research, and better algorithms

Rahul Mazumder of MIT Sloan finds better ways to create and refine statistical models and apply them to particular problems. His work pertains to areas including statistics and operations research, with applications in finance, health care, advertising, online recommendations, and more.
West Bengal Rahul Mazumder Hussein Hazimeh Indian Statistical Institute Sloan School Of Management Stanford University
Source: mit.edu

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"On Max-Min Complete Targets Sampling in Backscatter-Aided RF Powered I" by Rui Yang, Changlin Yang et al.

This paper considers a Radio Frequency (RF) powered Internet of Things (IoT) network that exploits ambient backscatter communications to maximize the minimum number of samples of targets. We propose a Maximum Backscatter Opportunity Search (MBOS) heuristic algorithm to construct set covers to ensure complete targets coverage. Our results demonstrate that the performance of MBOS is within 91% of the optimal number of samples and it is 25% higher as compared to not using backscattering.
Radio Frequency Maximum Backscatter Opportunity Search Nternet Of Things Mathematical Programming Radio Frequency Targets Monitoring
Source: uow.edu.au

SKP's Algorithms and Data Structures #9: Java Problem: Monkeys in the Garden

SKPs Algorithms and Data Structures #9: Java Problem: Monkeys in the Garden This Article Series Focuses on Algorithms, Data Structures, or Applying them to Problem Solving. In this Article, We Discuss the Solution to [Monkeys in the Garden] Problem from Techgig. by [Question/Problem Statement is the Property of Techgig]  Monkeys in the Garden [www.techgig.com] In a garden, trees are arranged in a circular fashion with an equal distance between two adjacent trees. The height of trees may vary....
First Line Total Number Followingn Lines Maximum Possible Travel Object Oriented Programming Mathematically Superior
Source: dzone.com

SKP's Algorithms and Data Structures #5: Java Problem: Changes in Usernames

SKPs Algorithms and Data Structures #5: Java Problem: Changes in Usernames This Article Series Focuses on Algorithms, Data Structures, or Applying them to Problem Solving. In this Article, We Discuss the Solution to [Usernames Changes] Problem from Hacker Rank. by [Question/Problem Statement is the Adapted from HackerRank] [Problem Solving]  There is a Specific Need for Changes in a List of Usernames. In a given List of Usernames — For Each Username — If the Username can be Modified an...
Data Structures Specific Need For Each Username Moved Ahead Allowed Modification Never Find
Source: dzone.com

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