Batteries and supercapacitors (SC) complement one another; a battery has relatively high energy density but low power density, whereas an SC density. In order to offset their opposing limitations, active battery/SC hybrid storage system (HESS) using dc/dc converter been proposed. The major problem concerning HESS is in how control the current flow achieve two objectives: minimization of magnitude/fluctuation flowing out loss seen by SCs. This not analytically investigated for optimal...

Batteries mounted on electric vehicles (EVs) are often damaged by high peak power and rapid charging/discharging cycles, which originated from repetitive acceleration/deceleration of particularly in urban situations. To reduce battery damage, the battery/supercapacitor (SC) hybrid energy storage system (HESS) has been considered as a solution because SC can act buffer against large magnitudes fluctuations power. While traditional purpose employing HESS EVs is to minimize magnitude/variation...

Over the past few decades, need has arisen for multi-lane detection algorithms use in vehicle safety-related applications. In this paper we propose a new algorithm that works well urban situations. This detects four lane marks, including driving marks and adjacent marks. Conventional research assumes lanes are parallel. contrast, our approach does not require assumption, thus enabling to manage various non-parallel situations, such as found at intersections, splitting lanes, merging lanes....

The development of intelligent vehicle systems has resulted in an increased need for a high-precision road map. However, conventional maps that are used navigation or geographical information (GISs) insufficient to satisfy new requirements such as autonomous driving. There three primary road-map systems: centimeter-level accuracy, storage efficiency, and usability. no existing researches have met these simultaneously. In this paper, we propose precise efficient lane-level generation system...

Limited studies on multi-omics have been conducted to comprehensively investigate the molecular mechanism underlying developmental neurotoxicity of perfluorooctanesulfonic acid (PFOS). In this study, locomotor behavior zebrafish larvae was assessed under exposure 0.1-20 μM PFOS based its reported neurobehavioral effect. After number optimized for proteomics and metabolomics studies, three kinds omics (i.e., transcriptomics, proteomics, metabolomics) were carried out with exposed 0.1, 1, 5,...

Beyond the individual independent unmanned autonomous vehicle (UAV), cooperative control of multiple UAVs has started to receive significant attention from industry, academia and military. For sake UAV cooperation, proper wireless communication is imperative, but incurs several problems. Among them, spatially secure group (SSGC), which must maximize spatial size while minimizing boundary group, a unique problem for security perspective. In particular, SSGC be considered military applications...

Multi-lane detection algorithms have been required for various vehicle safety-related applications. In most of the previous study, visual features are fundamental clues multi-lane detection. However, since vary with illumination, weather condition and distance region, feature-based algorithm is restricted to illuminant variation laterally adjacent regions. On other hand, conventional geometric estimation-based approaches, not relying on features, inaccurate susceptible pitch or lateral...

In this paper, we present a driverless taxi system for autonomous campus mobility services. College campuses have unique requirements in terms of layout, population, and demand patterns. It is typically recommended to minimize the presence private automobiles on due teaching research disturbances, visual degradation from parking provision, environmental pollution, negative health effects. As an alternative automobiles, shared systems been considered both urban transportation. Conventional...

Safe reinforcement learning has traditionally relied on predefined constraint functions to ensure safety in complex real-world tasks, such as autonomous driving. However, defining these accurately for varied tasks is a persistent challenge. Recent research highlights the potential of leveraging pre-acquired task-agnostic knowledge enhance both and sample efficiency related tasks. Building this insight, we propose novel method learn shared distributions across multiple Our approach identifies...

With the emergence of diverse group-based services, multiple multicast groups are likely to coexist in a single network, and users may subscribe simultaneously. However, existing group key management (GKM) schemes, aiming secure communication within group, not suitable environments because inefficient use keys, much larger rekeying overheads. In this paper, we propose new GKM scheme for groups, called master-key-encryption-based (MKE-MGKM) scheme. The MKE-MGKM exploits asymmetric i.e.,...

In LIght Detection And Ranging (LIDAR)-based object detection, accurate segmentation is of great importance, since an essential preprocessing step for other perception tasks, such as classification and tracking. For segmenting objects, most the previous methods have tried to eliminate ground first, which typically incurs considerable overhead in computation inaccuracy detection with point clouds gathered by using 3-D LIDARs. However, many real-time applications, automated driving, should be...

Parking slot detection algorithms using visual sensors have been required for various automated parking assistant systems. In most previous studies, popular feature detectors, such as the Harris corner or Hough line detector, employed detecting slots. However, these were originally designed to find distinct features and are inadequate short, curvy, faint distorted parking-lines of long-range surround-view images, especially in around-view monitoring this paper, we propose a robust algorithm...

Vacant parking‐slot recognition is one of the core elements for achieving a fully automated parking assistant system. The vacant typically executed in two stages: and slot‐occupancy classification. In most previous works, considering recognised slot results as grid cell, existence objects evaluated through examination Despite moderate performance, however, these methods cannot distinguish availability moving or small permit marks, since all only focus on occupancy parked vehicles. this...

Abstract Motivation Epitopes are the immunogenic regions of antigen that recognized by antibodies in a highly specific manner to trigger an immune response. Predicting such is extremely difficult yet contains profound implications for complex mechanisms humoral immunogenicity. Results Here, we present BERT-based epitope prediction model called EpiBERTope, pre-trained on Swiss-Prot protein database, which can predict both linear and structural epitopes using sequences only. The achieves AUC...

Although lots of research efforts have focused on group key management (GKM) for secure multicast, existing GKM schemes are inadequate vehicle communication (VC) systems since they incur unnecessary rekeying overhead without considering the characteristics VC such as Vehicle-to-Infrastructure communications and a great number high mobility vehicles. Therefore, we propose scheme, called RSU-based decentralized (RDKM), dedicated multicast services in systems. The RDKM scheme significantly...

Curb detection and tracking is an essential component of autonomous vehicle operation in urban environments. Detecting curbs a particularly challenging task environments that contain countless dynamic objects. Previous studies have approached curb using different types sensor such as cameras, radar, LIDAR. Among these, LIDAR sensors superior advantages regard to detecting because their robustness weather conditions they can provide accurate distance measurements. methods based on exploited...

We propose a point-cloud-centric depth completion method called attention bilateral convolutional network for (ABCD). The proposed uses LiDAR data and camera to improve the resolution of sparse information. Color images, which have been seen as fundamental tasks, are inevitably sensitive light weather conditions. designed an attentive layer (ABCL) build robust under diverse environmental An ABCL efficiently learns geometric characteristics by directly leveraging 3D point cloud enhances...

We present an accurate and robust image-to-point cloud registration method that is viable in urban off-road environments. Existing methods have focused on vehicle platforms along paved roads. Therefore, UGV for driving remains open question. Our objective to find a versatile solution registration. stably estimates precise transformation between image point using two-phase aligns the two input data virtual reference coordinate system ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...

As wireless spectrum resources become more scarce while some portions of frequency bands suffer from low utilization, the design cognitive radio (CR) has recently been urged, which allows opportunistic usage licensed for secondary users without interference with primary users. Spectrum sensing is fundamental a user to find specific available hole. Cooperative accurate and widely used since it obtains helpful reports nodes in different locations. However, if are compromised report false data...

Batteries are considered to be one of the key components in EV. Although energy density batteries has continuously been evolving, they can easily damaged by peak current or steep variation current. In order overcome this weakness, an active battery/supercapacitor (SC) Hybrid Energy Storage System (HESS) proposed. The major problem concerning HESS EV is how control flow minimize magnitude/ fluctuation flowing and out battery It well known that future load profiles used obtain more optimal...

The Gaussian mixture probability hypothesis density (GM-PHD) filter has been widely adopted to track multiple targets, because it can effectively handle target birth/death without the track-to-measurement data association process. However, GM-PHD is known have serious problems related birth intensity generation and tractability. In addition, weight underestimation/overestimation may occur if there are missing detections or measurement clutters. Since these lead severe estimation errors, many...