In the last few years, textile electrodes have become an interesting topic for physiological monitoring, steadily developing to be applied in innovative wearable sensing systems. The structure of can fabricated by weaving, knitting, or embroidering conductive yarn and is now commercially available. upgraded electrode used biosignal was designed form a jacquard woven measure ECG. case knit fabric, which has piezo‐resistive properties, were developed using fabric's flexible strain gauges...

Abstract Homeostasis is essential in biological neural networks, optimizing information processing and experience‐dependent learning by maintaining the balance of neuronal activity. However, conventional two‐terminal memristors have limitations implementing homeostatic functions due to absence global regulation ability. Here, three‐terminal oxide memtransistor‐based synapses are demonstrated perform highly linear synaptic weight update enhanced accuracy neuromorphic computing. Particularly,...

Although assessing the long-term behavior of prestressed concrete girders is critical, an accurate evaluation remains challenging. Current design processes rely on empirical or simplified equations to predict deflections and prestress losses; however, these methods often fail capture actual behavior. This paper proposes a physics-informed neural network (PINN) model evaluate (PSC) girders. The incorporates age-adjusted effective modulus method (AEMM) relaxation approach using differential...

Abstract With the rise of artificial intelligence (AI), neuromorphic sensory systems that emulate five basic human sensations including tactility, audition, olfaction, gustation, and vision have attracted significant attention. In particular, research on integrating sensors with synapses is being carried out extensively. These studies offer valuable opportunities for making another breakthrough in AI technology, autonomous systems, real-time monitoring human-machine interactions. this...

This paper aims to address sensor-related challenges in simultaneous localization and mapping (SLAM) systems, specifically within the open-source Google Cartographer project, which implements graph-based SLAM. The primary problem tackled is adaptability functionality of SLAM systems diverse robotic applications. To solve this, we developed a novel framework that integrates five additional functionalities into existing Robot Operating System (ROS). These innovations include an inertial data...

Recently, the technologies of on-device AI have been accelerated with development new hardware and software platforms. Therefore, many researchers engineers focus on how to enable ML mobile devices limited resources. In this paper, we revisit designed support describe three challenges when using in detail. Then, propose a data management policy, called Overlay-ML, which efficiently solves two that discovered. Especially, Overlay-ML work application space key ideas. The first idea is extend...

Virtualization has become one of the most helpful techniques, and today it is prevalent in several computing environments including desktops, data-centers, enterprises. However, an I/O scalability issue virtualized still needs to be addressed because layers are implemented oblivious behaviors on virtual machines (VM). In particular, when a multi-queue solid state drive (SSD) used as secondary storage, each VM reveals semantic gap that degrades overall performance by up 74%. This due two key...

As NVMe SSDs have become viable, recent researches focused on optimizing the performance of SSDs, which provide multiple I/O queues to maximize parallelism flash-chip, while traditional operating systems are designed ordinarily for single queue storage, such as HDD and SATA SSD. Unfortunately, no prior works considered write interference SSD still has possibility interference. This is crucial in read-intensive environments because requests negatively affect latency read requests. In this...

Emotional awareness is vital for advanced interactions between humans and computer systems. This paper introduces a new multimodal dataset called MERTI-Apps based on Asian physiological signals proposes genetic algorithm (GA)—long short-term memory (LSTM) deep learning model to derive the active feature groups emotion recognition. study developed an annotation labeling program observers tag emotions of subjects by their arousal valence during creation. In phase, GA was used select effective...

Virtual reality (VR) applies various types of advertisements (ads) to promote brands while collaborating with companies. This study aims present effective advertisement by verifying user responses in a VR environment. First, analyzing the cases immersive content, were defined as avatar costumes, products, and wall posters. The response was measured two categories: gaze eye-tracking monitoring system (EVAMS) effect analyzed through surveys. As result responses, costumes among caused highest...

In recent years, almost all consumer devices adopt NAND flash storage as their main storage, and the performance capacity requirements for components are increasing. To meet requirements, many researchers manufacturers have focused on combined SLC-TLC which consists of high-speed single-level cell (SLC) high-density triple-level (TLC) memory. this paper, we re-design internal structure to improve its lifetime. We also add new behavior by employing I/O characteristics file system journaling...

Phase Change Memory (PCM) has drawn great attention as a main memory due to its attractive characteristics such non-volatility, byte-addressability, and in-place update. However, since the capacity of PCM is not fully mature yet, hybrid architecture that consists DRAM been suggested. In addition, page replacement algorithm based on actively being studied because existing algorithms cannot be used in they do consider two weaknesses PCM: high write latency low endurance. this paper, mitigate...

Today, flash storage devices have become a standard in consumer electronics devices, such as smartphones, smart tablets, and TVs, due to their attractive features. Since helps cut down on system response for customers, based the are gradually increasing. Unfortunately, of suffers from random write requests because applications running device simultaneously issue lot operations store persistent data. This paper proposes novel buffer algorithm, called Clock with DRAM NVM hybrid (CLOCK-DNV),...

In recent years, many researchers have focused on log-structured file systems (LFS), because it gracefully enhances the random write performance and efficiently resolves consistency issue. However, policy of LFS can cause a fragmentation problem, which degrades sequential read system. this paper, we analyze relationship between performance, considering characteristics underlying storage devices. We also propose novel defragmentation scheme to effectively address problem. Our reorders valid...

Recently, realistic services like virtual reality and augmented have gained popularity. These require deterministic transmission with end-to-end low latency high reliability for practical applications. However, these real-time to be deterministic, the network core should provide requisite level of network. To deliver differentiated each service, service providers can classify applications based on traffic. due presence personal information in headers, application classification encrypted...

A dynamic thread pool model is one of a multithread server programming that handles many requests from users concurrently. Even though such as watermark overcomes the efficient usage resources, it could be more to obtain required number threads in advance. In this paper, we implement prediction-based using customized exponential average for utilization occupied but unused resources. This designed improve response time server, and efficiently uses system resources depending on userspsila...

Currently, the existing vehicle-centric semi-autonomous driving modules do not consider driver’s situation and emotions. In an autonomous environment, when changing to manual driving, human–machine interface advanced driver assistance systems (ADAS) are essential assist vehicle driving. This study proposes a that considers emotions enhance ADAS. A 1D convolutional neural network model based on multimodal bio-signals is used applied control vehicles. The possibility of confirmed by...

Recently, eMMC is widely being used in mobile devices because of its characteristics such as low cost, small size, and power consumption. In this paper, we analyze features based on commands Trim, Discard, Background to investigate how do affect the random write performance lifetime NAND flash memory. Also, propose a method that uses command improve eMMC. Our experimental results clearly show our outperforms normal power-off method, average, by 173% terms performance.

Existing memory reclamation policies on mobile devices may be no longer valid because they have negative effects the response time of running applications. In this paper, we propose SWAM, a new integrated management technique that complements shortcomings both swapping and killing mechanism in improves application responsiveness. SWAM consists (1) Adaptive Swap performs adaptively into or storage device while managing swap space dynamically, (2) OOM Cleaner reclaims shared object pages to...

In pervasive computing environments, where various types of information are publicly owned, and multiple users access the networks via networked devices anytime anywhere, control that grants permission to an authorized user is definitely needed for secure access. Context awareness refers idea computers can both sense react based on context in their environments. many schemes, recently, has been utilized guarantee dynamic according current schemes utilizing have proposed. However, previous...