CHIVID: A Rapid Deployment of Community and Home Isolation During COVID-19 Pandemics by Parpada Piamjinda, Chiraphat Boonnag, Piyalitt Ittichaiwong, Seandee Rattanasonrerk, Kanyakorn Veerakanjana, Khanita Duangchaemkarn, Warissara Limpornchitwilai, Kamonwan Thanontip, Napasara Asawalertsak, Thitikorn Kaewlee, Theerawit Wilaiprasitporn

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Evaluating the potential of short-term instrument deployment to improve distributed wind resource assessment by L. M. Sheridan, D. Duplyakin, C. Phillips, H. Tinnesand, H. Tinnesand, R. K. Rai, J. E. Flaherty, L. K. Berg

“…While a full 12 months of onsite wind measurement is the standard for correcting model-based long-term wind speed estimates for utility-scale wind farms, the time and capital investment involved in gathering onsite measurements must be reconciled with the energy needs and funding opportunities that drive expedient deployment of distributed wind projects. …”
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Microservice Deployment Based on Multiple Controllers for User Response Time Reduction in Edge-Native Computing by Zhaoyang Wang, Jinqi Zhu, Jia Guo, Yang Liu

“…Notably, this algorithm incorporates a real-time resource monitoring-based load balancing algorithm, dynamically adjusting microservice deployment according to edge server resource utilization to enhance the execution performance of user applications. …”
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The RF Energy Harvesting Antennas Operating in Commercially Deployed Frequency Bands: A Comparative Study by M. Mrnka, P. Vasina, M. Kufa, V. Hebelka, Z. Raida

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Parallel orchestration and deployment system for scalable heterogeneous service function chain supporting polymorphic network by Hao CHEN, Yuan YANG, Mingwei XU, Dan PEI, Yilin YOU

“…Aiming at the problem of second-level service function chain orchestration and deployment in the polymorphic data center with the scale of 10 000 servers, a scalable heterogeneous SFC parallel orchestration and deployment (SHOD) system was proposed.The scale-out orchestration time of service chain was reduced to seconds by partitioning the data center and adopting a parallel orchestrator design that minimizes resource usage.Using a mediator design model that satisfies the single-responsibility principle, the heterogeneous equipment scalable orchestration and deployment were realized as well as service function chain building chain.Experimental results show that in a data center with 10 000 servers, the scale-out orchestration time of SHOD system is reduced to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mn>1</mn> <mrow> <mn>12</mn></mrow> </mfrac> </math></inline-formula> of the existing system-Daisy, while only 1.5 times CPU utilization overhead is introduced.…”
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Two-Level Clustering Algorithm for Cluster Head Selection in Randomly Deployed Wireless Sensor Networks by Sagun Subedi, Shree Krishna Acharya, Jaehee Lee, Sangil Lee

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Applying a deployment strategy and data analysis model for water quality continuous monitoring and management by Fan-Lun Chen, Bo-Chieh Yang, Shu-Yi Peng, Tzu-Chi Lin

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A Distributed Parallel Genetic Algorithm of Placement Strategy for Virtual Machines Deployment on Cloud Platform by Yu-Shuang Dong, Gao-Chao Xu, Xiao-Dong Fu

“…More and more cloud centers provide infrastructure as the main way of operating. To improve the utilization rate of the cloud center and to decrease the operating cost, the cloud center provides services according to requirements of users by sharding the resources with virtualization. …”
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Distributed Optimization Strategy for Voltage Regulation in PV-Integrated Power Systems with Limited Sensor Deployment by Xun Lu, Junlei Liu, Xinmiao Liu, Jun Liu, Lingxue Lin

“…This paper presents a distributed optimization strategy for reactive power–voltage control in distribution networks with high photovoltaic (PV) penetration under limited sensor deployment scenarios. To address voltage violations and minimize network power losses, a novel distributed optimization framework is developed that utilizes selective nodal measurements from PV-integrated nodes and critical T-junction locations, coupled with inter-node communication for information exchange. …”
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Deploying persuasive technology-based model in the prevention and control of malaria in Nigeria to reduce incidence of deaths by Ignatius Nwoyibe Ogbaga, Henry Friday Nweke, Juliana Ngozi Ndunagu

“…The Malaria Prevention and Control Support System (MPCSS), an intervention system, was developed and deployed as part of the research in three phases, and its effectiveness was assessed by an evaluation study. …”
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Burkholderia gladioli strain NGJ1 deploys a prophage tail-like protein for mycophagy by Rahul Kumar, Sunil Kumar Yadav, Durga Madhab Swain, Gopaljee Jha

“…We determined that the bacterium utilizes its type III secretion system (Injectisome) machinery to deploy a prophage tail-like protein (Bg_9562) into fungal cells to devour them. …”
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Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems by Wissem Dilmi, Sami El Ferik, Fethi Ouerdane, Mustapha K. Khaldi, Abdul-Wahid A. Saif

“…This research offers valuable insights and practical guidelines for optimizing real-time object detection deployment on embedded platforms in UAV- and ground robot-based logistics, with a focus on efficient resource utilization and enhanced operational effectiveness.…”
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A Scalable Framework for Deploying AI-Powered Wildlife Monitoring in Resource-Limited Field Environments by Md. Auhidur Rahman, Tesfalem Mehari Berhe, Luca Borgianni, Md Sabbir Ahmed, Cristian Bua, Davide Adami, Stefano Giordano

“…The system leverages deep learning-based object detection models, specifically YOLOv8m and YOLOv10m trained by the European Animal Detection Dataset, deployed on power-efficient embedded platforms such as the NVIDIA Jetson Orin Nano and Raspberry Pi 5. …”
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Open-source compact time-domain hydrogen (1H) NMR System for Field Deployment by Winford Janvrin, Jacob Martin, Daniel Hancock, Angelo Varillas, Austin R.J. Downey, Perry J. Pellechia, Joud Satme, Sang Hee Won

“…While packaging and integration with ancillary equipment (e.g., flow-through systems) are not covered, the platform serves as a versatile foundation for specialized deployments. Its open-source design and affordability aim to democratize NMR technology and extending its utility beyond conventional laboratory environments. …”
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Design, construction, and deployment of a multi-locus transcranial magnetic stimulation system for clinical use by Heikki Sinisalo, Olli-Pekka Kahilakoski, Victor H. Souza, Jaakko O. Nieminen, Robin Rantala, Timo Tommila, Isabel Usuga, Mikael Laine, Oskari Ahola, Eva Gallegos, Gábor Kozák, David Emanuel Vetter, Ilkka Rissanen, Andreas Jooß, Renan Matsuda, Ana M. Soto, Dezhou Li, Dania Humaidan, Matti Stenroos, Timo Roine, Dubravko Kičić, Ulf Ziemann, Risto J. Ilmoniemi

“…We aimed to design, construct, and deploy an mTMS device and a five-coil array for clinical environment, emphasizing safety of the system. …”
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An Optimization Algorithm for Forward-Scatter Radar Network Node Deployment Based on BFGS and Improved NSGA-II by Yuqing Zheng, Xiaofeng Ai, Zhiming Xu, Jing Wu, Feng Zhao

“…Therefore, how to deploy the receiving nodes to achieve efficient utilization of node resources is an urgent problem to be addressed. …”
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Analyzing the Features, Usability, and Performance of Deploying a Containerized Mobile Web Application on Serverless Cloud Platforms by Jeong Yang, Anoop Abraham

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A Framework to Identify the Catalog of Important Tasks Reflecting Interorganizational Characteristics Regarding the Deployment of Portable Equipment by Seong Woo Kang, Jaewhan Kim, Jinkyun Park, Jong Woo Park, Sung-Min Shin

“…One key difference between the traditional probabilistic safety assessment (PSA) and multi-unit PSA (MU-PSA) is that the MU-PSA must consider interorganizational characteristics arising from deploying portable equipment. In this study, a systematic framework is proposed for the detailed sub-task analysis of human failure events (HFEs) involving portable equipment through utilization of STAMP (Systems-Theoretic Accident Model and Processes) and STPA (Systems-Theoretic Process Analysis). …”
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Design of Multi-Wing Deployment Mechanism Based on Multiple Performance Indicators and Topology: Theoretical and Experimental Study by Guangqing Zhai, Jianguo Tao, Hong Xiao, Hongwei Guo, Guang Yang, Runchao Zhao, Chen Yao, Rongqiang Liu

“…The optimal configuration for the multi-wing deployment mechanism is identified utilizing the fuzzy comprehensive evaluation. …”
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Study of Optimal Base Station Deployment for UAM Operations in an Urban Environment Based on a Genetic Algorithm by Minsang Yoon, Jiseok Park, Bosung Park, Taekyeong Jin, Hosung Choo

“…To realistically model the UAM operating environment, we utilize DEM files that include data on terrain and buildings. …”
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