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Quasi-3D Thermal Simulation of Multi-Chip Stack Embedding Package
P. 1–7.
Konstantin O. Petrosyants, Nikita I. Ryabov
Multi-chip embedded PCBs were in resent years the mainstream technology of electronic packaging size reduction and at the same time providing improved performance. Ultra-small package size obviously strongly impacts the SiP module thermal behaviour. Unfortunately the complete thermal design methodology was not developed for this technology till now. In this work the problem of thermal design is completely solved using quasi-3D approach taking into account the main features of embedded PCB constructions: 1) 3D integration of ICs and board; 2) a large number of thinned layers of different materials; 3) vertical z-axis interconnections through the package layers. A ten times decrease of central processing unit (CPU) time is achieved as compared with the full 3D solutions obtained by commercial universal 3D simulators, while saving the sufficient accuracy. The simulation error of maximal temperature T MAX determination for different types of packages is not more than 10-20%.
Aleksei Samarin, Aleksei Toropov, Dzestelova A. et al., , in: Proceedings of the 35th Conference of Open Innovations Association FRUCT, Tampere, Finland, 24-26 April 2024Vol. 35.: FRUCT Oy, 2024. P. 659–664.
This research endeavor is dedicated to the integration of specialized attentional mechanisms within the intricate web of deep neural network architectures aimed at discerning indications of lung carcinoma from monochromatic snapshots derived from computerized axial tomography. Within this exploration, we propose a myriad of adaptations to the traditional non-local blocks, infusing them with bespoke attentional ...
Added: September 19, 2026
Aleksei Samarin, Nazarenko A., Aleksei Toropov et al., , in: Proceedings of the 36th Conference of Open Innovations Association FRUCT, Helsinki, Finland, 30 October - 1 November 2024Vol. 36.: FRUCT Oy, 2024. P. 711–720.
Image enhancement is crucial in digital image processing to improve visual quality across various applications. Recent advancements in deep learning and computer vision have significantly advanced automatic color correction. While heavyweight solutions excel in quality, they demand substantial computational resources, whereas emerging lightweight models promise efficient operation on mobile devices. This study introduces a lightweight ...
Added: September 19, 2026
Dogonasheva O., Giraud A., Zakharov D. et al., Neural Networks 2025 Vol. 195 Article 108194
In this review, we examine computational models that explore the role of neural oscillations in speech perception, spanning from early auditory processing to higher cognitive stages. We focus on models that use rhythmic brain activities, such as gamma, theta, and delta oscillations, to encode phonemes, segment speech into syllables and words, and integrate linguistic elements ...
Added: October 16, 2025
Tao M., Hao F., Wei L. et al., IEEE Transactions on Computational Social Systems 2024 Vol. 11 No. 6 P. 7373–7385
Attributed social networks are pervasive in real life and play a crucial role in shaping various aspects of society. These networks not only capture the connections between individuals but also encompass the associated attributes and characteristics. Analyzing and understanding these attributes provide insights into social behaviors, information diffusion patterns, and the formation of influential communities. ...
Added: February 25, 2025
Litvinenko N., IEEE Access 2024
Added: December 9, 2024
Goltsman G., Александр С., IEEE Transactions on Applied Superconductivity 2023 P. 1–5
We investigate dark counts in SNSPD with spatial resolution, using nanostrip-patterned devices with 50 Ohm matched coplanar waveguide - tapers. We found that the dark counts originate from one or several points along the strip, which we call 'weak points'. We found that the dark counts originating from different points can have different dependence of ...
Added: May 7, 2024
Erlygin L., Zholobov V., Baklanova V. et al., , in: 2023 IEEE International Conference on Data Mining Workshops (ICDMW) 1–4 December 2023, Shanghai, China.: Shanghai: IEEE Computer Society, 2023. P. 1247–1258.
Machine learning models play a vital role in time series forecasting. These models, however, often overlook an important element: point uncertainty estimates. Incorporating these estimates is crucial for effective risk management, informed model selection, and decision-making.To address this issue, our research introduces a method for uncertainty estimation. We employ a surrogate Gaussian process regression model. ...
Added: March 20, 2024
Springer, 2023.
This volume gathers together selected peer-reviewed works presented at the BIOMAT 2022 International Symposium, which was virtually held on November 7-11, 2022, with an organization staff based in Rio de Janeiro, Brazil.
Topics touched on in this volume include infection spread in a population described by an agent-based approach; the study of gene essentiality via network-based ...
Added: November 7, 2023
Жеглов С. А., Социология: методология, методы, математическое моделирование 2022 № 54-55 С. 129–187
In most of current papers devoted to the analysis of protest-repression nexus, the research
design misses the dynamic nature of this nexus, which seems methodologically incorrect. The
analysis of the dynamics allows us to identify the role of various factors influencing the course of
this conflict. The variety of different dynamics of the number of protesters and the ...
Added: August 29, 2023
Mamontov A. V., Nefedov V. N., Khritkin S. A., Измерительная техника 2022 № 6 С. 46–51
The actual problem of accelerating and reducing the energy costs of the sheet polymer composite material heat treatment technological process is considered. It is shown that to solve this problem, it is advisable to use the microwave radiation energy as a heating source. The main advantages of the microwave method of the sheet polymer composite ...
Added: October 24, 2022
Smetanin S., Komarov M. M., IEEE Access 2022 Vol. 10 P. 18886–18898
A growing body of literature has examined the potential of machine learning algorithms in constructing social indicators based on the automatic classification of digital traces. However, as long as the classification algorithms’ predictions are not completely error-free, the estimate of the relative occurrence of a particular class may be affected by misclassification bias, thereby affecting ...
Added: February 22, 2022
Stella M., Kapuza A., Cramer C. et al., Journal of Complex Networks 2021 Vol. 9 No. 6 Article cnab020
A significant aspect of computational thinking is as a way of reasoning about the world in terms of data. This mindset channels number-crunching toward an ambition to discover knowledge through logic, models and simulations. Here we show how computational cognitive science can be used to reconstruct and analyse the structure of computational thinking mindsets (forma ...
Added: December 21, 2021
Philippov I., Yureskul E., Stukal D. et al., , in: 2021 14th International Conference Management of large-scale system development (MLSD).: IEEE, 2021. P. 1–5.
Added: December 1, 2021
Mamontov A. V., Nefedov V. N., Nazarov I. et al., Measurement Techniques 2021 Vol. 64 No. 4 P. 314–318
This paper addresses the high-priority goal of reducing the energy cost of heat-treating foam concrete slabs. We show that this problem is best solved using microwaves as a heat source. We discuss the main advantages of microwave curing over traditional techniques for curing foam concrete slabs, and develop a design for a microwave foam concrete ...
Added: October 16, 2021
Abbyasov B., Lavrenov R., Zakiev A. et al., , in: 2020 IEEE International Conference on Robotics and Automation (ICRA 2020).: Institute of Electrical and Electronics Engineers Inc., 2020. P. 7226–7232.
Added: October 11, 2021
Abbyasov B., Dobrokvashina A., Lavrenov R. et al., , in: 2022 International Siberian Conference on Control and Communications (SIBCON).: IEEE, 2022. Ch. 9438910.
Added: October 11, 2021
Ismail-zade M. R., Petrosyants K. O., Sambursky L. M. et al., , in: 2020 26th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC).: IEEE, 2020. P. 97–103.
A set of modified compact SPICE models of various flavours of MOSFETs (fabricated by bulk, SOI and SOS technologies) is presented for circuit simulation in the deep-cryogenic temperature range down to 4 K, which is important for space applications and development of scalable quantum computers. All models are constructed using the approach combining macromodeling based ...
Added: June 5, 2021
Mamontov A. V., Nefedov V. N., Nazarov I. et al., Измерительная техника 2021 № 4 С. 44–48
The actual problem of accelerating and reducing the energy costs of the foam concrete slabs heat treatment technological process is considered. It is shown that to solve this problem, it is advisable to use the microwave radiation energy as a heat source. The main advantages of the microwave method of foam concrete slabs heat treatment ...
Added: May 15, 2021