Conferences Links
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Paper Review Claims |
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Paper ID |
Title |
Abstract |
Congress |
Claim |
| 1 |
55.Cnf-1216 |
Wavelet-Based Multiresolution Analysis for Fault Detection in Nonlinear PMSM Drives A Finite Element Study |
Wavelet-based multiresolution analysis is utilized
for fault diagnosis in permanent magnet synchronous motors
operating under direct torque control. The inherent challenges of this control method, namely variable switching frequency and hysteresis tolerance, are addressed by applying the maximum overlap discrete wavelet transform to the estimated electromagnetic torque signal. This noninvasive approach extracts time-frequency characteristics of the torque signal while isolating
the switching and hysteresis impact in separate bands to ensure clear identification of fault related components. The RMS values of the wavelet detail coefficients serve as inputs to a quadratic discriminant analysis classifier that not only detects and differentiates common faults including turn-turn short circuits, mixed eccentricity, and partial demagnetization but also estimates their severity levels. Validation is performed through high fidelity simulations using ANSYS-MAXWELL involving a finite element machine model integrated with the drive system implemented in ANSYS-SIMPLORER, under both normal and faulty conditions. This method also supports the creation of fault detection databases in practical settings, mitigating the scarcity
of experimental fault data. |
EngiTek 2026 |
Claim |
| 2 |
65.Cnf-1220 |
HAI-KDG: A Computable Framework for Measuring the Human–AI Knowledge Divergence |
Abstract— Generative artificial-intelligence (AI) systems now produce candidate knowledge faster than human experts can audit it, creating a widening and largely unmeasured asymmetry between what machines produce and what humans can comprehend, verify, and use. We argue that this asymmetry should be measured rather than described. Therefore, we introduce HAI-KDG, a framework which formalized as a five-component vector: scale, novelty, assimilation cost, verifiability, and rate of change. In this paper, three components of the framework are computed and validated, while the remaining two are formally specified with a calibration protocol fixed in advance. An explicit proximity criterion defines the machine-unique set, a two-level novelty measure combines distributional divergence with a cross-corpus neighbor-distance ratio (CNDR), and a five-layer architecture keeps its upper layers portable across domains. Directed single-stimulus tests on synthetic corpora with known ground truth show, over ten seeds, that each computed dimension responds selectively to its own stimulus and is robust to the framework's free parameters. A complete 3×3 grid of real-corpus studies exposes a dissociation that replicates across every condition: at lexical embeddings, fluent machine text diverges distributionally in seven of nine conditions (up to 9.2 control standard deviations, Holm-adjusted p < 0.05) while instance-level isolation stays near chance, a pattern that survives a change of lexical representation. Generated code inverts it, separating at both levels and reaching 0.986 ± 0.007 AUROC, where CNDR leads the density-based baselines but is indistinguishable from nearest-neighbor distance; its clear advantage over all baselines appears instead in the weak-signal text conditions. |
GC-ElecEng 2026 |
Claim |
| 3 |
68.Cnf-1222 |
A Compact Tri-Band Printed Antenna for Future Wireless and 6G-Oriented Applications |
This paper presents a compact tri-band printed antenna based on a branched planar radiator, a tapered microstrip feeding structure, and a Partial Ground Plane. The antenna is designed on a 30 × 30 mm² Rogers RO4003C substrate with a thickness of 0.813 mm, relative permittivity of 3.38, dielectric loss tangent of 0.0027, and 0.035 mm copper thickness. The geometry was developed to produce three resonant operating points around 2.45, 3.5, and 5.8 GHz using different effective current paths in the branched radiator. The tapered feed provides a gradual transition from the wider 1.8 mm input section to the narrower 1.1 mm radiator-side section, reducing the impedance discontinuity and supporting the matching between the excitation line and the radiating structure. The three bands have VSWR of 2.55, 1.64 and 1.46 respectively, and realized gain of 1.12, 3.02 and 3.13 dB accordingly. The total efficiency of 82.1, 82.3 and 90.4 % are recorded at 2.45, 3.5 and 5.8 GHz respectively. Far-field results show frequency-dependent radiation characteristics, while the simulated current distributions demonstrate that field concentration changes with frequency and follows different portions of the branched radiator. The proposed structure provides a simple single-element approach for multi-band wireless. |
GC-ElecEng 2026 |
Claim |
| 4 |
80.Cnf-1221 |
Using Hussein Search Algorithm for Optimizing Search in
Metadata of IDS |
Metadata analysis is the process of examining metadata
to discover patterns, relationships, trends, and useful information
about the underlying data. Query latency is
the total time from when a user submits a query until
the result is returned. It typically includes:Network Delay,
Query Parsing, Index Lookup, Search Time, Ranking,
Result Formatting,Transmission. Therefore, reducing
search time, or index lookup can reduce query Latency.
This paper explains how The Hussein Search Algorithm
is used for efficient search in Intrusion Detection Systems
(IDS) metadata. We evaluate its performance on synthetically
generated uniform and skewed metadata distributions
and compare it against classical algorithms including
binary search and interpolation search. Our results
demonstrate that the Hussein Search Algorithm achieves
expected constant-time average complexity with lower
memory overhead than hash-based methods while maintaining
competitive speed. The performance of Hussein
Search Algorithm (HSA) in term of search time per query
outperforms binary search algorithm, where it is 2.3-2.6
times faster than binary search algorithm for uniform data
distribution and highly faster than interpolation search for
skewed metadata. In addition, HSA maintains its advantage
in search time when the datasets size is increased,
whether, the searching time of the other algorithms increases
with the growth of the metadata size. |
EngiTek 2026 |
Claim |
| 5 |
79.Cnf-1223 |
Enhancement of the Structural and Optical Properties of Perovskite Solar Cells by the
Implementation of Different Nanostructured Electron Transmission Layers |
The purpose of such research is to comprehensively
investigate the impact of various structures of Electron
Transmission Layer (ETL) on the optical and structural
properties of Perovskite solar cells. Four structures of electron
transmission layers were investigated with controlled
thicknesses. These structures were a single-layer of ⁓ 50 nm
ZnO, a single-layer of ⁓ 50 nm TiO2, Bi-layer of TiO2 / ZnO
(10/50 nm), and a Tri-layer of TiO2 / ZnO / TiO2 (10/50/10 nm).
UV-Vis spectroscopy revealed that the ZnO thin film of ⁓ 50
nm thickness transmits higher amount of visible light toward
Perovskite thin film than its counterparts, while TiO₂ ETLs is a
perfect UV light-blocker. XRD and SEM analyses showed that
a ZnO single layer enhanced perovskite crystallinity up to ~
89.5% and reduced strain by ~ 96%, making a smoother, more
uniform polycrystalline surface. These findings confirm ZnO as
the most efficient ETL for improving PSC performance, and
TiO₂ offering additional UV protection. This work is a
synergetic marriage between nanotechnology and the perfect
light-absorbing material – Perovskite, –where a very efficient
light-harvesting device with high crystallinity, higher stable and
less amount of defect is produced. |
EngiTek 2026 |
Claim |
| 6 |
79.Cnf-1225 |
Rule-Based Closed-Loop Service-Capacity Control
for Digital Queue Management in Government
Service Centers |
Abstract—Long and time-varying queues remain a practical
problem in government service centers, particularly when service
capacity is fixed while visitor demand changes during the day.
This paper presents a web-oriented digital queue architecture in
which ticket events provide feedback to a rule-based closed-loop
controller. The measured waiting time is compared with a desired
operating range, and the controller recommends increasing or
decreasing the number of active service counters. A time-stepped
evaluation compares a fixed two-counter policy with the proposed
policy over a 120-min demand profile. Under the same demand
and per-counter service-rate assumptions, the proposed controller
reduces the reported average waiting time from 5.91 to 1.69 min
and the maximum queue length from 76.32 to 47.19 visitors.
These changes correspond to reductions of 71.4% and 38.2%,
respectively, while the average number of active counters rises
from 2.00 to 2.25. The study therefore demonstrates a clear
waiting-time–capacity tradeoff and shows how ordinary digital
check-in records can support closed-loop operational decisions
without physical crowd sensors. The results are simulation-based
and are intended as a proof of concept rather than a field-validated
deployment.
Index Terms—digital queue management, feedback control,
government services, rule-based control, service capacity, waiting
time |
EngiTek 2026 |
Claim |
| 7 |
57.Cnf-1227 |
FED-Sentinel: Explainable Federated Multi-Modal
Learning for Evidence-Based Fault Detection in
Kubernetes Microservices |
—Kubernetes-orchestrated microservice deployments
fail in ways that outpace threshold-based monitoring: faults
cascade across loosely coupled, dynamically scheduled services
faster than a human operator, or a static alerting rule, can react.
This paper reports on FED-Sentinel, a multi-modal, federated,
explainable fault-detection pipeline that fuses container metrics,
Kubernetes events, distributed traces, and logs into a single
feature representation, scores that representation with a temporal
anomaly stage feeding an XGBoost–LightGBM stacking ensem
ble, aggregates model updates across simulated clusters under
differential privacy, and attaches SHAP-based explanations to
every prediction. Unlike prior work in this space, we separate
every reported number into two explicit classes: design targets
quoted against nine literature systems, and an independently
executed evaluation– five seeds, paired significance testing– against nine conventionally fitted detectors under identical
conditions. The executed pipeline reaches F1 = 0.9883 but is
not statistically distinguishable from a well-tuned Random Forest
(p = 0.11). An executed ablation shows the temporal anomaly
stage is not accuracy-additive and is the single most expensive
stage per inference; cross-workload zero-shot transfer collapses
(F1 = 0.1603); and differentially private federation is usable
only for privacy budgets ε ≥ 4. We report these negative and
boundary results alongside the positive ones and argue that an
honest accounting of which architectural components earn their
computational cost is itself a necessary contribution for systems
intended for production remediation. |
GC-ElecEng 2026 |
Claim |
| 8 |
46.Cnf-1228 |
Trends and Technical Prospects of Hydrogen-Battery Hybrid Energy Storage Systems: A Bibliometric-Driven Analysis |
Hydrogen–battery hybrid energy storage systems (HESS) have emerged as a promising solution for integrating variable renewable energy sources by combining the rapid response of batteries with the long-duration capacity of hydrogen storage. However, no study has systematically mapped the bibliometric landscape of this interdisciplinary field to identify research trends, thematic clusters, and collaboration networks. This paper presents a bibliometric analysis of 366 Scopus-indexed documents published between 2003 and 2026, employing Biblioshiny for seven statistical analyses and VOSviewer for four network visualizations. Results reveal a compound annual growth rate exceeding 44% from 2019 to 2025, with China (133 articles) and India (124) leading global output. Keyword co-occurrence analysis identifies 11 thematic clusters centered on fuel cells, hydrogen storage, and battery systems, while bibliographic coupling reveals converging research fronts around optimization frameworks and techno-economic assessment. A focused technical analysis further examines the evolution of AI/ML-based energy management strategies, from classical pattern recognition to hierarchical deep reinforcement learning, and grid ancillary services from hybrid assets. The findings provide a structured roadmap for researchers and policymakers advancing hydrogen–battery integration for sustainable energy systems. |
GC-ElecEng 2026 |
Claim |
| 9 |
55.Cnf-1233 |
Design Vision for Developing a Flying X-ray Fluorescence Spectroscopy System |
Traditional methods for geochemical exploration in rough terrain are restricted due to cost, accessibility, and inadequate spatial coverage. This paper presents a conceptual design roadmap for an integrated airborne system using x-ray fluorescence spectroscopy (XRF). This conceptual design depicts the relevance of this technology as an aerial platform capable of conducting in-situ elemental analyses. By creating this vision of how the various components and subsystems (ie. spectrometer, airborne systems, methods of data collection, etc.) could theoretically be integrated into a working airborne imaging hyper-spectral sensor, and creating an example of what a design like this could look like, demonstrates how these systems will operate as one functioning system. The proposed air payload system will also allow geochemists the capability to perform geochemical surveys with increased accuracy and effectiveness in challenging environments. This project is only conceptual and/or exhibits the theoretical limitations, issues, and potential possibilities of this type of system without the use of prototypes or performing real-world experiments. |
EngiTek 2026 |
Claim |
| 10 |
79.Cnf-1234 |
Role of Hydrogen in Achieving Net-Zero Aviation Goals: A Review |
The current goals to achieve net-zero aviation face many challenges, including finding alternative fuels with high energy density and meeting strict safety standards. Hydrogen is a promising solution for reducing carbon emissions in aviation. This review discusses the potential of hydrogen to achieve net-zero aviation, focusing on combustion-based propulsion, electric fuel-cell propulsion, and onboard storage technologies. The key advantages and engineering barriers to aircraft integration with hydrogen are compared with jet fuel (kerosene). Combustion-based propulsion has led to innovations in lean-burn combustors, especially for larger aircraft (> 200 seats), while electric propulsion using fuel cells would be a viable option for UAVs and smaller regional aircraft due to its high efficiency and zero combustion emissions. Hybrid propulsion (combustion- and electric-based) is suggested for medium aircraft (~ 150 seats). Despite hydrogen's promise, challenges such as NOx emissions, cryogenic storage, thermal management, and the necessary infrastructure at airports remain to be addressed. Hydrogen may not be the complete short-term solution for low-carbon aviation—like sustainable aviation fuels—but it is expected to be vital in a broader strategy that includes both sustainable aviation fuels and hybrid technologies. |
EngiTek 2026 |
Claim |
| 11 |
79.Cnf-1236 |
Stage-Wise Probabilistic Risk Assessment of a Pressurized Water Reactor Coupled With a High-Temperature Electrolysis Hydrogen Facility |
The integration of light-water reactors with high-temperature steam electrolysis represents a viable approach to producing large commercial quantities of clean hydrogen in the near future, but it is necessary to demonstrate that the heat removal system, the direct electrical connection, and the hydrogen handling plant do not compromise reactor safety before the arrangement can be granted a license. This work carries out a stage-wise probabilistic risk assessment for a typical pressurized water reactor supplying 100, 500 and 1000 MW electrolysis plants, using the general data and fault-tree logic from the Idaho National Laboratory report INL/RPT-23-74319. The coupled plant is divided into three phases and 24 processing stages, the hazards of which correspond to steam-line breaks, transients, loss of off-site power at the switchyard and seismic events. The fault trees for the initiating events have been reconstructed and re-quantified using the smallest possible cut sets, then compared with the acceptance criteria set out in 10 CFR 50.59 and Regulatory Guide 1.174. The re-quantification agrees with three previously published result sets to within 0.3%. The greatest increase in the number of initiators is 7.69% (in the case of a steam-line break with two steam taps), which is below the 10 % limit, and the largest increase in core damage frequency is 1.9E-8 per reactor-year, occurring in Region III. Failure of the normally open isolation valve at each steam tap is responsible for more than 99% of this increase, while hydrogen detonation and generator overcurrent have a negligible effect. Safety margins depend on the number of steam taps, the valve rupture data, and the credited ventilation of the electrolysis enclosures; without that ventilation credit, the 1000 MW facility would increase the loss-of-off-site-power frequency by 10.8%. |
EngiTek 2026 |
Claim |
| 12 |
79.Cnf-1237 |
Structural integrity of spent nuclear fuel cladding under transportation loads: a thematic review and knowledge map |
The cladding of spent nuclear fuel must remain intact during handling and transport for retrieval. This article brings together eight previously published studies concerning the structural integrity of zirconium-alloy spent fuel rods under both normal and hypothetical accident conditions that could occur during transport, grouping the studies into five main themes: degradation-driven property characterization, multiscale structural modeling, uncertain rod-level parameters, failure criteria, and deterministic-probabilistic and margin-based assessments. The theories, methods, findings, and limitations are identified and summarized; a knowledge map is given as both a hierarchical outline and a mind map; and the collection of studies is compared with eleven recent external studies. The resistance of the rods is controlled by pellet-cladding bonding, spacer grid stiffness, and ductility that depends on the fuel cladding characteristics; under strain-based failure criteria, fuel with a high level of burnup has failure probabilities which are many orders of magnitude greater than those of fuel with lower burnup in the case of a 9-m side drop; and the normal transport loads measured are still well below the failure limits. Uniform elongation and hydrogen content are the most closely connected concepts, while the relationships among interfacial bonding, hydride-sensitive failure criteria, microstructural models, and probabilistic assessment remain underexplored. The paper also outlines future research priorities. |
EngiTek 2026 |
Claim |
| 13 |
55.Cnf-1240 |
Improvement of aliasing rejection in a two-stage decimation filter using certain symmetrical polynomials |
This paper presents a novel two-stage multiplierless decimation filter with improved alias rejection. The first and second stages are corresponding comb filters. Additionally, the second stage cascades two modified comb filters of different lengths. The modified comb filter is obtained by converting to a zero coefficient at the comb's point of symmetry in the second stage. If the comb is odd, it has one point of symmetry; if it is even, it has two. As a result, the overall comb-folding bands gain new zeros, increasing aliasing rejection. We express complexity in the number of adders per output sample (APOS). We illustrate the method with two examples. Comparisons with recent methods demonstrate the benefits of this proposal. |
EngiTek 2026 |
Claim |
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