A hybrid algorithm for depersonalizing personal data is proposed, which combines the method of changing the composition or semantics and the mixing method based on modern cryptographic standards, and a comprehensive algorithm for depersonalization of personal data has been developed.
R. Eshenko, E. Zvereva, Ekaterina Dobrosel'skaya et al.· Bulletin of scientific resea...· 0 citations
An Internet of Things (IoT)-based temperature monitoring system for display refrigerators, capable of performing real-time monitoring and providing alerts during abnormal conditions, is designed and implemented.
The results of this study show that the FMS scores obtained by SOMA have reliability with traditional face-to-face assessments and virtual video-based assessments that cannot be expected merely by chance, ranging from fair agreement to almost perfect agreement.
Joshua Paul Verdillo, N. Ermina, Tanya Mariel Capilla et al.· Philippine Journal of Physic...· 0 citations
This study aimed to evaluate USU Libraries' need for a new integrated library system (ILS) and, if needed, to garner staff support for the migration to a new one.
The researchers adopted a tripartite approach to measure the ILS's effectiveness. First, staff were surveyed about their use of the ILS and how we...
A. Sundt, Joe LaSure, Lindsay Ozburn et al.· Performance Measurement and...· 0 citations
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The efficient data acquisition system for static ejection test of external stores complied with the Test 110, MIL-HDBK-1763 is proposed and presented to obtain the reliable data of stores including ejection force versus time, exit velocity, and store attitude (roll, pitch, yaw, [Formula: see text], [Formula: see text],...
Phi-Minh Nguyen, Quoc-Viet Pham, Nhu-Van Nguyen et al.· Journal of Aircraft· 0 citations
A test suite optimization approach that leverages symbolic classification, a greedy algorithm, and a similarity measure reduces MBT-generated test suites for embedded software by identifying and eliminating redundancy while minimizing its impact on the fault detection rate.
Muhammad Nouman Zafar, Wasif Afzal, Eduard Paul Enoiu et al.· Software quality journal· 0 citations
Code, configurations, seeds, results and figures for a Monte Carlo simulation study of composite multi-beat, multi-view transoesophageal echocardiographic measurement rules for tricuspid regurgitant jet dimensions (beat averaging, percentage beat-consistency windows, largest view mean, millimetre cross-view triggers) a...
Kardokh Kakabra· Zenodo (CERN European Organi...· 0 citations
Software development is moving away from writing code line by line. Instead of using AI only for simple autocomplete, developers now manage multiple coding agents across different parts of a codebase at once. While these tools make individual tasks faster, recent data shows that teams are generating far more code witho...
Passive Time Difference of Arrival (TDoA) localization conventionally requires multiple synchronized receivers to obtain spatially diverse observations. In this paper, we show that the periodic nature of the 5G NR downlink Positioning Reference Signals (PRS), combined with receiver motion, provides an alternative sourc...
Marco Tricco, Samuele Zanini, Giuseppe Bianchi et al.· Proceedings of the 20th ACM...· 0 citations
Robotic vehicles, such as Unmanned Aerial Vehicles (UAVs), are deployed in safety-critical applications ranging from package delivery to search and rescue operations. In these cyber-physical systems, software vulnerabilities can cause physical consequences such as collisions and mission failures, giving them direct saf...
Ashwin Nambiar, Shafiq-us Saleheen, Antonio Bianchi· Proceedings of the 2026 8th...· 0 citations
FlowAgent is an AI agent deployed at Google to automatically repair test failures in the pre-submit outer-loop workflow inside continuous integration systems, using a ReAct-style generate-and-validate loop and rigorous pre-execution and post-execution abstention filters to ensure high-quality suggestions under strict l...
Celal Ziftci, Spencer Greene, Raymond Liu et al.· Proceedings of the 41st IEEE...· 0 citations
SIGMA is proposed, a data generation and training pipeline enabling alignment self-improvement that generalizes to out-of-distribution settings and shows that a Model Spec balancing harmlessness and helpfulness, test-time reasoning for safety deliberation, and high-quality rubrics from SIGMA's task designer agent are c...
Jing-Yu Zhang, Shruti Palaskar, Daniel Khashabi et al.· 0 citations
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
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