Results 131 to 140 of about 6,187,768 (281)
Overall, the findings provide reliable evidence for block‐level disease early warning, inspection prioritisation, and spray decision‐making, helping to reduce unnecessary inputs, lower environmental burdens, and improve the resilience and sustainability of vineyard production systems.
Shu Liang +16 more
wiley +1 more source
The influence of demand variability on the performance of a make-to-stock queue [PDF]
Variability, in general, has a deteriorating effect on the performance of stochastic inventory systems. In particular, previous results indicate that demand variability causes a performance degradation in terms of inventory related costs when production ...
F. Karaesmen, Z. Jemai
core
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam +9 more
wiley +1 more source
Dynamic weight parameter for the Random Early Detection (RED) in TCP networks
This paper presents the Weighted Random Early Detection (WTRED) strategy for congestion handling in TCP networks. WTRED provides an adjustable weight parameter to increase the sensitivity of the average queue size in RED gateways to the changes in the ...
Murray, D. +3 more
core
Fuzzy-based dynamic distributed queue scheduling for packet switched networks
Addressing the problem of queue scheduling for the packet-switched system is a vital aspect of congestion control. In this paper, the fuzzy logic based decision method is adopted for queue scheduling in order to enforce some level of control for traffic ...
Bakar, Kamalrulnizam A. +3 more
core +1 more source
Sub‐optimal Internet of Thing devices deployment using branch and bound method
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley +1 more source
An Innovative Queue Management System based on Bluetooth Beacon Technology
Most of the existing queue management systems are based on printed paper tickets with a queue number. When a specific customer is called, his/her queue number is shown on a screen accompanied by an acoustic signal.
Lin, Chi-Yi;Jhu, Guan-Ying;Siao, Siang
core
Distributed computing for the reconstruction of multi‐terabyte tomographic X‐ray imaging datasets
As tomographic datasets from synchrotrons continue to increase in volume, so rises the challenge of reconstructing said data. Here we present a solution utilizing high‐performance computing capabilities to split the process into multiple smaller tasks, which can be solved without overwhelming a single compute node.
Thorbjørn Erik Køppen Christensen +5 more
wiley +1 more source
Departure processes from MAP/PH/1 queues
A MAP/PH/1 queue is a queue having a Markov arrival process (MAP), and a single server with phase-type (PH -type) distributed service time. This thesis considers the departure process from these type of queues.
Green, David Anthony
core
Climate Change and (Mal)Adaptation in Tourism‐Intensive Alpine Regions
Abstract Tourism, especially in winter, accounts for a large share of economic income in Alpine regions. At the same time, these regions are more severely affected by climate change, leading to shorter winter seasons and reduced snow cover. This presents a pressing issue for areas reliant on income from winter tourism through activities such as skiing.
Valentina Ausserladscheider
wiley +1 more source

