Shower–IoT: An Internet of Things System for Monitoring Electric Showers by Helder Holanda Prezotto, Natássya Barlate Floro da Silva, Lucas Dias Hiera Sampaio, Rogério Santos Pozza

“…To implement the software infrastructure, we used the services present in cloud computing, such as a broker, processing, and storage, in which the information about the electric shower was made available through an Android application. …”
Get full text

Variational Estimation of Optimal Signal States for Quantum Channels by Leonardo Oleynik, Junaid Ur Rehman, Hayder Al-Hraishawi, Symeon Chatzinotas

“…Instead of theoretically bounding the ultimate capacity of the channel, we adopt a signal processing perspective to estimate the achievable performance of a physically available but otherwise unknown quantum channel. …”
Get full text

Concurrent Deterministic Execution Semantics for IEC 61499-Based OT–IT Convergence Industrial Edge Applications by Wenbin Dai, Shang Gao, Kaiyun Qin, Chuanyang Yu, Dongdong Zhang, Likuan Zhang, Hui Zhang

“…Industrial edge computing provides new possibilities for traditional industrial automation systems. …”
Get full text

Joint optimization strategy of service cache and resource allocation in mobile edge network by Long LONG, Zichen LIU, Zaiwang LU, Yucheng ZHANG, Lei LI

“…Aiming at the problem that computing and storage resources of edge node in a mobile edge computing (MEC) system were limited, and excessive task offloading would cause the mismatch between the computing capacity and the load capacity of the edge server, resulting in the increase of task processing delay, the joint optimization of task offloading and storage resources under the three-layer network architecture composed of multi-user, edge server and cloud server was studied to reduce the overall system delay.For the problem was a mixed integer nonlinear problem, a joint optimization strategy of service caching and resource allocation was proposed.First, the continuous and discrete variables of the original problem were decoupled into two sub-problems, namely, the service cache decision problem and the joint optimization problem of computing resources and communication resources.Then, the linear reconstruction, relaxation method and convex optimization method were used to alternately optimize the two sub-problems to obtain the near-optimal solution.Simulation results demonstrate that the proposed strategy can obtain a near-optimal performance with low complexity, and can reduce up to 10% of the task duration compared with other strategies.…”
Get full text

Enhancing consistency of AHP-based expert judgements: A new approach and its implementation in an interactive tool by Shimon Frish, Irit Talmor, Omer Hadar, Maxim Shoshany, Aviad Shapira

“…The analytic hierarchy process is an effective method for simplifying complex decision-making processes involving multiple criteria. …”
Get full text

The Impact of Prediction Models on Energy-Aware Resource Management in FaaS Platforms by Shahrokh Vahabi, Francesca Righetti, Carlo Vallati, Nicola Tonellotto

“…Edge Function-as-a-Service is an emerging computing model that dynamically schedules function executions across distributed edge (close to users) locations to reduce latency and improve user experience. …”
Get full text

EPri-MDAS: An efficient privacy-preserving multiple data aggregation scheme without trusted authority for fog-based smart grid by Jinjiao Zhang, Wenying Zhang, Xiaochao Wei, Huimin Liu

“…With the increasingly pervasive deployment of fog servers, fog computing extends data processing and analysis to network edges. …”
Get full text

Tax planning: organization features at enterprise by Grabchuk I.L., Laichuk S.M.

“…The research determines the need for studying the «cloud» technologies as the method of saving company’s resources and increasing the efficiency of processing accounting data. The study defines the concept of the «cloud», the types of clouds and the main advantages and disadvantages of each one for a particular purposes of a company. …”
Get full text

PV<i>k</i>NN: A Publicly Verifiable and Privacy-Preserving Exact <i>k</i>NN Query Scheme for Cloud-Based Location Services by Jingyi Li, Yuqi Song, Chengliang Tian, Weizhong Tian

“…Addressing existing limitations, our approach focuses on accelerating query processing while ensuring robust privacy preservation and public verifiability. …”
Get full text

Study on font preferences of native and non-native speakers in a virtual reality environment by Huidan Zhang, Daisuke Sakamoto, Tetsuo Ono, Tetsuo Ono

Get full text

Quantized convolutional neural networks: a hardware perspective by Li Zhang, Olga Krestinskaya, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama

“…With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with classic machine learning techniques. …”
Get full text

FlowCron - Increasing access to HPC by wrapping Globus into a function-as-a-service [version 1; peer review: 1 approved, 2 approved with reservations] by Dimitrios Bellos, Elaine M. L. Ho, James Allsopp, Gavin Yearwood, Tibor Auer, Andrew J. Morris, Mark Basham

“…Despite significant investment in High-Performance Computing (HPC) clusters by funding councils, there are still many researchers whose workflows could not benefit from the computation speed that is provided by these clusters. …”
Get full text

Mastoid neoplasm: a clinical case by F. V. Semenov, R. V. Reznikov, A. A. Strelyaev

“…The article describes the clinical presentation, diagnostic methods and surgical treatment for neoplasms of mastoid process, a quite rare tumour localisation.Clinical Case Description. …”
Get full text

FPG-AI RNN: A Technology-Agnostic Framework for the Automatic Acceleration of LSTM/GRU-Based Models on FPGAs by Tommaso Pacini, Pietro Nannipieri, Silvia Moranti, Luca Fanucci

Get full text

High-Performance and Lightweight AI Model with Integrated Self-Attention Layers for Soybean Pod Number Estimation by Qian Huang

“…However, existing AI models are computationally demanding and require significant processing resources (e.g., memory). …”
Get full text

Cloud software code generation via knowledge graphs and multi-modal learning by Fanlong Zhang, Huanming Chen, Quan Chen, Jianqi Liu

“…Abstract As cloud computing continues to experience rapid growth, the demand for cloud-native applications is escalating, leading to more complex and diverse development requirements. …”
Get full text

Changes and Perspectives in Food Studies by Elisabeth Dumoulin

“…How do we teach them to use, in an efficient way, computers, data bases, the internet, but also to learn and practice in the lab, on pilot equipment, in the plant during long internships? …”
Get full text

A cloud-based framework for the quantification of the spatially-explicit uncertainty of remotely sensed benthic habitats by Spyridon Christofilakos, Alina Blume, Avi Putri Pertiwi, Chengfa Benjamin Lee, Dimosthenis Traganos, Peter Reinartz

Get full text

A comprehensive review of smart energy management systems for photovoltaic power generation utilizing the internet of things by Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

“…Intelligent energy management systems play a pivotal role in optimizing energy distribution, particularly in scenarios with high grid dependency. Cloud computing infrastructures address the complexities and scalability challenges posed by expanding smart grids, enabling real-time data processing and adaptive energy control mechanisms. …”
Get full text

Scalable <i>O</i>(<i>log</i>₂<i>n</i>) Dynamics Control for Soft Exoskeletons by Julian D. Colorado, Diego Mendez, Andres Gomez-Bautista, John E. Bermeo, Catalina Alvarado-Rojas, Fredy Cuellar

“…In this paper, we address the computational limitations of modeling large-scale articulated systems for soft robotic exoskeletons by integrating a parallel algorithm to compute the exoskeleton’s dynamics equations of motion (EoM), achieving a computation with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><mi>l</mi><mi>o</mi><msub><mi>g</mi><mn>2</mn></msub><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula> complexity for the highly articulated <i>n</i> degrees of freedom (DoF) running on <i>p</i> processing cores. …”
Get full text