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Search results for: CUDA · UNIFIED MEMORY · PREFETCHING · MEMORY OVERSUBSCRIPTION
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Semantic memory architecture for knowledge acquisition and management
PublicationRozumienie informacji zawartej w tekście przez komputer wymaga wiedzy stojacej za systemem informatycznym. Wiedza ta nie jest implicite zapisanej w analizowanym tekscie. Zapisana może być ona w postaci ontologii badanej dziedziny. Zasadniczym zagadnieniem jest konstrukcja takiej ontologii. Artykuł przedstawia podeście oparte na grze 20 pytań do budowy przestrzeni semantycznej dla wybranej dziedziny.
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Gdańsk palimpsest. On obscuring and retrieving traces of memory
PublicationThe article deals with the problems of collective identity resulting from over one thousand year history of the city on the Motława river and the role of historical policy of the local authorities regarding the material cultural heritage of many nations and cultures. In our opinion, the palimpsestic (palimpsestueuse) character of the city plays a significant role in the discourse about the past of Gdańsk. We use that notion after...
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Using Long-Short term Memory networks with Genetic Algorithm to predict engine condition
PublicationPredictive maintenance (PdM) is a type of approach for maintenance processes, allowing maintenance actions to be managed depending on the machine's current condition. Maintenance is therefore carried out before failures occur. The approach doesn’t only help avoid abrupt failures but also helps lower maintenance cost and provides possibilities to manufacturers to manage maintenance budgets in a more efficient way. A new deep neural...
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Multiplicative Long Short-Term Memory with Improved Mayfly Optimization for LULC Classification
PublicationLand Use and Land Cover (LULC) monitoring is crucial for global transformation, sustainable land control, urban planning, urban growth prediction, and the establishment of climate regulations for long-term development. Remote sensing images have become increasingly important in many environmental planning and land use surveys in recent times. LULC is evaluated in this research using the Sat 4, Sat 6, and Eurosat datasets. Various...
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Design of a Shape-Memory-Alloy-Based Carangiform Robotic Fishtail with Improved Forward Thrust
PublicationShape memory alloys (SMAs) have become the most common choice for the development of mini- and micro-type soft bio-inspired robots due to their high power-to-weight ratio, ability to be installed and operated in limited space, silent and vibration-free operation, biocompatibility, and corrosion resistance properties. Moreover, SMA spring-type actuators are used for developing different continuum robots, exhibiting high degrees...
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Hierarchical Estimation of Human Upper Body Based on 2D Observation Utilizing Evolutionary Programming and 'Genetic Memory'
PublicationNew method of the human body pose estimation based on single camera 2D observation is presented. It employs 3D model of the human body, and genetic algorithm combined with annealed particle filter for searching the global optimum of model state, best matching the object's 2D observation. Additionally, motion cost metric is employed, considering current pose and history of the body movement, favouring the estimates with the lowest...
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Real‐Time PPG Signal Conditioning with Long Short‐Term Memory (LSTM) Network for Wearable Devices
PublicationThis paper presents an algorithm for real‐time detection of the heart rate measured on a person’s wrist using a wearable device with a photoplethysmographic (PPG) sensor and accelerometer. The proposed algorithm consists of an appropriately trained LSTM network and the Time‐Domain Heart Rate (TDHR) algorithm for peak detection in the PPG waveform. The Long Short‐Term Memory (LSTM) network uses the signals from the accelerometer...
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Combined Single Neuron Unit Activity and Local Field Potential Oscillations in a Human Visual Recognition Memory Task
PublicationGOAL: Activities of neuronal networks range from action potential firing of individual neurons, coordinated oscillations of local neuronal assemblies, and distributed neural populations. Here, we describe recordings using hybrid electrodes, containing both micro- and clinical macroelectrodes, to simultaneously sample both large-scale network oscillations and single neuron spiking activity in the medial temporal lobe structures...
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EXPERIMENTAL EVALUATION OF THE EMISSIVITY OF A NITI SHAPE MEMORY ALLOY
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Semantic memory knowledge acquisition through active dialogues
PublicationSzereg zagadnień językowych nie może zostać rozwiązany bez pamięci semantycznej zawierającej opisy cech obiektów, Automatyczne tworzenie tego rodzaju pamięci jest wielkim wyzwaniem nawet dla prostych obszarów dziedzinowych. Implementacja pamięci semantycznej opartej na reprezentacji wiedzy poprzez powiązania obiektu z jego cechami pokazuje ciekawe zastosowania które nie zostały dotychczas zademonstrowane poprzez bardziej wyszukane...
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Knowledge representation and acquisition for large-scale semantic memory
PublicationPozyskiwanie i reprezentacja pojęć jest koniecznym warunkiem doimplementacji rozumienia w systemach kognitywnych.Gry słowne są dają interesujące możliwości pozyskiwaniawiedzy do komputerowego modelu pamięci semantycznej. W artykuleprzedstawiono podstawy architektury pamięci semantycznej orazwyniki działającego na niej algorytmu wyszukiwania kontekstowego,który użyty został do realizacji gry w 20 pytań.
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Underwater robot actuated by shape memory alloy wires
PublicationW pracy przedstawiono koncepcję projektu robota podwodnego z napędem wykorzystującym materiały SMA ze stopów z pamięcią kształtu. Rozpatrywany układ ma budowę modułową złożoną z segmentów na podobieństwo do anatomicznej budowy dżdżownicy. Pojedyńczy segment składa się z dwóch okrągłych tarcz, pomiędzy którymi umieszczono balon wypełniony wodą. Wielkość balonu jest dopasowana w taki sposób do rozmiarów tarcz oraz długości sprężyn...
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Long-distance quantum communication over noisy networks without long-time quantum memory
PublicationThe problem of sharing entanglement over large distances is crucial for implementations of quantum cryptography. A possible scheme for long-distance entanglement sharing and quantum communication exploits networks whose nodes share Einstein-Podolsky-Rosen (EPR) pairs. In Perseguers et al. [Phys. Rev. A 78, 062324 (2008)] the authors put forward an important isomorphism between storing quantum information in a dimension D and transmission...
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Cyclic Behavior of Masonry Shear Walls Retrofitted with Engineered Cementitious Composite and Pseudoelastic Shape Memory Alloy
PublicationThe behavior of masonry shear walls reinforced with pseudoelastic Ni–Ti shape memory alloy (SMA) strips and engineered cementitious composite (ECC) sheets is the main focus of this paper. The walls were subjected to quasi-static cyclic in-plane loads and evaluated by using Abaqus. Eight cases of strengthening of masonry walls were investigated. Three masonry walls were strengthened with different thicknesses of ECC sheets using...
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An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory
PublicationSentiment analysis is an automated approach which is utilized in process of analysing textual data to describe public opinion. The sentiment analysis has major role in creating impact in the day-to-day life of individuals. However, a precise interpretation of text still relies as a major concern in classifying sentiment. So, this research introduced Bidirectional Long Short Term Memory with Ranger AdaBelief Optimizer (Bi-LSTM RAO)...
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Preconditioners with Low Memory Requirements for Higher-Order Finite-Element Method Applied to Solving Maxwell’s Equations on Multicore CPUs and GPUs
PublicationThis paper discusses two fast implementations of the conjugate gradient iterative method using a hierarchical multilevel preconditioner to solve the complex-valued, sparse systems obtained using the higher order finite-element method applied to the solution of the time-harmonic Maxwell equations. In the first implementation, denoted PCG-V, a classical V-cycle is applied and the system of equations on the lowest level is solved...
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Drought stress memory and subsequent drought stress tolerance in plants
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LANGUAGE AS A MODERATOR OF MEMORY-RELATED PROCESSES IN CHILDREN WITH DEVELOPMENTAL DYSLEXIA
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Deterministic rendezvous of asynchronous bounded-memory agents in polygonal terrains
PublicationWe consider two versions of the rendezvous problem: exact RV, when the points representing agents have to coincide at some time, and e-RV, when these points have to get at distance less than e in the terrain. In any terrain, each agent chooses its trajectory, but the movements of the agent on this trajectory are controlled by an adversary that may, e.g. speed up or slow down the agent.
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Reduced order models in computational electromagnetics (in memory of Ruediger Vahldieck)
PublicationThis paper reviews research of Ruediger Vahldieck's group and the group at the Gdansk University of Technology in the area of model order reduction techniques for accelerating full-wave simulations. The applications of reduced order models to filter design as well as of local and nested(multilevel) macromodels for solving 3D wave equations and wave-guiding problems using finite difference and finite element methods are discussed.
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Application of Shape Memory Alloys in Retrofitting of Masonry and Heritage Structures Based on Their Vulnerability Revealed in the Bam 2003 Earthquake
PublicationFor decades, one of the most critical considerations of civil engineers has been the construction of structures that can sufficiently resist earthquakes. However, in many parts of the globe, ancient and contemporary buildings were constructed without regard for engineering; thus, there is a rising necessity to adapt existing structures to avoid accidents and preserve historical artefacts. There are various techniques for retrofitting...
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Feature Weighted Attention-Bidirectional Long Short Term Memory Model for Change Detection in Remote Sensing Images
PublicationIn remote sensing images, change detection (CD) is required in many applications, such as: resource management, urban expansion research, land management, and disaster assessment. Various deep learning-based methods were applied to satellite image analysis for change detection, yet many of them have limitations, including the overfitting problem. This research proposes the Feature Weighted Attention (FWA) in Bidirectional Long...
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Seismic Response Analysis of Knee-Braced Steel Frames Using Ni-Ti Shape Memory Alloys (SMAs)
PublicationShape Memory Alloys (SMAs) are known as active materials that can be widely used for structural purposes due to their flag-shape behavior under loading and reloading. Their unique characteristics provided a potential solution for civil engi-neers especially to model buildings with the capability of dissipating seismic en-ergy. In this study, the main purpose is to explore the seismic behavior of Knee-Braced Frames (KBFs) and...
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Oxide layers fabricated by spray pyrolysis for resistance random access memory
PublicationW pracy zbadano przydatność pirolizy aerozolowej do wytwarzania warstw dla memrystorów.
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The design of the prosthetic index finger actuated by shape memory alloy wires
PublicationZaprezentowano projekt palca wskazującego protezy ręki, w którym poszczególne człony napędzane są za pomocą niekonwencjonalnych efektorów - stopów metali z pamięcią kształtu (SMA - NiTi).
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Intracranial hemorrhage detection in 3D computed tomography images using a bi-directional long short-term memory network-based modified genetic algorithm
PublicationIntroduction: Intracranial hemorrhage detection in 3D Computed Tomography (CT) brain images has gained more attention in the research community. The major issue to deal with the 3D CT brain images is scarce and hard to obtain the labelled data with better recognition results. Methods: To overcome the aforementioned problem, a new model has been implemented in this research manuscript. After acquiring the images from the Radiological...
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Effect of cobalt addition on the corrosion behaviorof near equiatomic NiTi shape memory alloy in normal saline solution: electrochemical and XPS studies
PublicationThe electrochemical and corrosion (uniform and localized) behavior of a binary Ni52Ti48 shape memory alloy (SMA) and two ternary Ni52Ti48-xCox (x = 1.5 and 4.0 wt.%) SMAs were studied. Measurements were conducted in 0.9% NaCl solution at 37 oC employing various electrochemical methods. These include: linear polarization resistance (LPR), linear sweep voltammetry (LSV), chronoamperometry and dynamic electrochemical impedance spectroscopy...
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Enhancing Seismic Performance of Semi-rigid Connection Using Shape Memory Alloy Bolts Considering Nonlinear Soil–Structure Interaction
PublicationSteel Moment-Resisting Frames (SMRFs) have their lateral resistance for their rigid connections, while real conditions have shown that the rigidity of a connection depends on the bolts and the end-plate thickness, which may not provide the assumed rigidity in design process. In this research, the main goal is to enhance the semi-rigid connections using shape memory alloy (SMA) bolts and explore their effects on the seismic limit-state...
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Monetary Incentives Increase Metacognitive Confidence in Source Memory Performance in Patients With Schizophrenia
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Emotional enhancement of memory effect in obstructive sleep apnea syndrome - preliminary results
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The management methods of the hardware and virtual threads in the integrated multiprocessor shared memory architectures
PublicationRozprawa doktorska skupiona jest na problematyce efektywnego zarządzania bezpośredniego wątkami sprzętowymi i jednostkami przetwarzającymi, a również zarządzania pośredniego poprzez wątki wirtualne (zadania współbieżne). Omawia ona dostępne technologie wątków sprzętowych i porządkuje metodologie ich wykorzystania. Główna myślą przewodnią pracy jest stwierdzenie, że synchronizacja i zarządzanie wątkami sprzętowymi oraz wirtualnymi...
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Matrix Metalloproteinase-9 Is Required for Hippocampal Late-Phase Long-Term Potentiation and Memory
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Test Your Memory (TYM) as a screening instrument in clinical practice – the Polish validation study
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Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)
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Catalytic impact of alloyed Al on the corrosion behavior of Co50Ni23Ga26Al1.0 magnetic shape memory alloy and catalysis applications for efficient electrochemical H2 generation
PublicationThe electrochemical and corrosion behaviour of Co50Ni23Ga27-xAlx (x = 0 and 1.0 wt%) magnetic shape memory alloys (MSMAs) was studied in 0.5 M NaCl solutions using various electrochemical techniques. Results showed remarkable activation of the tested MSMA toward pitting corrosion upon alloying it with Al. XPS examination confirmed the activation influence of alloyed Al. It proved that the presence of Al in the alloy's matrix weakens...
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Ways of shaping love for God and people and historical memory during the Year of St. Stanislaus Kostka
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Experimental investigations and optimization of MWCNTs-mixed WEDM process parameters of nitinol shape memory alloy
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O-43 Data-driven selection of active iEEG channels during verbal memory task performance
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Independent dynamics of slow, intermediate, and fast intracranial EEG spectral activities during human memory formation
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Taking advantage of the shared explicit cache system based critical sections in the shared memory parallel architectures
PublicationArtykuł prezentuje nową metodę implementacji sekcji krytycznych w równoległych architekturach z pamięcią współdzieloną, takich jak systemy zintegrowane wielowątkowe wieloprocesorowe. Metoda stanowi modyfikację i rozbudowanie metody zwanej Folding, dostępnej w procesorach sieciowych oraz jest w założeniach podobna do techniki zwanej cache-based locking. W porównaniu do dostępnych metod, nowa metoda usuwa problemy skalowalności i...
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Long Short-Term Memory (LSTM) neural networks in predicting fair price level in the road construction industry
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Differences in the verbal fluency, working memory and executive functions in alcoholics: Short-term vs. long-term abstainers
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On Memory-Based Precise Calibration of Cost-Efficient NO2 Sensor Using Artificial Intelligence and Global Response Correction
PublicationNitrogen dioxide (NO2) is a prevalent air pollutant, particularly abundant in densely populated urban regions. Given its harmful impact on health and the environment, precise real-time monitoring of NO2 concentration is crucial, particularly for devising and executing risk mitigation strategies. However, achieving precise measurements of NO2 is challenging due to the need for expensive and cumbersome equipment. This has spurred...
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The Phenotype of the Adipocytes Derived from Subcutaneous and Visceral ADMSCs Is Altered When They Originate from Morbidly Obese Women: Is There a Memory Effect?
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Optimizing the computation of a parallel 3D finite difference algorithm for graphics processing units
PublicationThis paper explores the possibilities of using a graphics processing unit for complex 3D finite difference computation via MUSTA‐FORCE and WENO algorithms. We propose a novel algorithm based on the new properties of CUDA surface memory optimized for 2D spatial locality and compare it with 3D stencil computations carried out via shared memory, which is currently considered to be the best approach. A case study was performed for...
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Efficient parallel implementation of crowd simulation using a hybrid CPU+GPU high performance computing system
PublicationIn the paper we present a modern efficient parallel OpenMP+CUDA implementation of crowd simulation for hybrid CPU+GPU systems and demonstrate its higher performance over CPU-only and GPU-only implementations for several problem sizes including 10 000, 50 000, 100 000, 500 000 and 1 000 000 agents. We show how performance varies for various tile sizes and what CPU–GPU load balancing settings shall be preferred for various domain...
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Intensive blood pressure lowering prevents mild cognitive impairment and possible dementia and slows development of white matter lesions in brain: the SPRINT Memory and Cognition IN Decreased Hypertension (SPRINT MIND) study
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Towards an efficient multi-stage Riemann solver for nuclear physics simulations
PublicationRelativistic numerical hydrodynamics is an important tool in high energy nuclear science. However, such simulations are extremely demanding in terms of computing power. This paper focuses on improving the speed of solving the Riemann problem with the MUSTA-FORCE algorithm by employing the CUDA parallel programming model. We also propose a new approach to 3D finite difference algorithms, which employ a GPU that uses surface memory....
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Parallelization of large vector similarity computations in a hybrid CPU+GPU environment
PublicationThe paper presents design, implementation and tuning of a hybrid parallel OpenMP+CUDA code for computation of similarity between pairs of a large number of multidimensional vectors. The problem has a wide range of applications, and consequently its optimization is of high importance, especially on currently widespread hybrid CPU+GPU systems targeted in the paper. The following are presented and tested for computation of all vector...
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Performance evaluation of parallel background subtraction on GPU platforms
PublicationImplementation of the background subtraction algorithm on parallel GPUs is presented. The algorithm processes video streams and extracts foreground pixels. The work focuses on optimizing parallel algorithm implementation by taking into account specific features of the GPU architecture, such as memory access, data transfers and work group organization. The algorithm is implemented in both OpenCL and CUDA. Various optimizations of...