With the advent of 5G era, network slicing has received a great deal attention as means to support variety wireless services in flexible manner. Network is technique divide single physical resource into multiple slices supporting independent services. In beyond (B5G) systems, main goal assign blocks (RBs) such that quality service (QoS) requirements eMBB, URLLC, and mMTC are satisfied. Since each category dearly distinct computational burden caused by increased number time slots huge, it...

Millimeter wave (mmWave) and terahertz (THz) communications have been considered as the key techniques to support extremely high data rates in 6G system. One main limitation of mmWave/THz is severe path loss low penetration power. For these reasons, it expected that communication will be mainly employed ultra-dense network (UDN) environment. In order get most out UDN, a mobile should associated base stations (BSs) providing quality-of-service (QoS). This task challenging since reliable can...

This study employs text mining to scrutinize academic discourse surrounding the representation of plus-size models, revealing its implications for inclusivity and body positivity in both fashion industry academia. By analyzing scholarly articles from past two decades using natural language processing Latent Dirichlet Allocation, we identify significant themes research gaps. Our findings indicate seven primary topics, ranging positive image effects self-evaluation challenges diversity...

In this letter, we propose a deep learning-based technique to recover Euclidean distance matrix <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">D</b> in IoT network localization. contrast conventional localization algorithms that search over whole set of matrices, the proposed technique, called multiple neural networks for (MDNL), estimates matrices. Other than low-rank constraint, is symmetric, and its diagonal non-diagonal entries are zero...

This paper presents an artificial neural network (ANN) based approach to improve the speed of a differential equation distance relaying algorithm. As used for transmission line protection is valid only at low frequencies, algorithm requires lowpass filter, removing frequency components higher than those relaying. However, filter causes time delay Thus, calculated resistances and reactances do not converge directly fault even after data window occupies post data. Faults with same inception...

Recently, terahertz (THz) communication supported by the ultra-dense network (UDN) has received a great deal of attention as means to satisfy stringent requirements in throughput, latency, and energy consumption 6G. In UDN THz beamforming, handover, an action change base station (BS) serving user, occurs frequently due small cell coverage sudden line-of-sight (LoS) link blockage caused interruption obstacles. To ensure seamless connectivity UDN, mobility management, process identify...

A rendering regression is a bug introduced by web browser where page no longer functions as users expect. Such bugs critically harm the usability of browsers well applications. The unique aspect that they affect presented visual appearance pages, but those pages have pre-defined correct appearance. Therefore, it challenging to automatically detect errors in their In practice, vendors rely on non-trivial and time-prohibitive manual analysis handle regressions.

A motion-based control interface promises flexible robot operations in dangerous environments by combining user intuitions with the robot's motor capabilities.However, designing a motion for non-humanoid robots, such as quadrupeds or hexapods, is not straightforward because different dynamics and strategies govern their movements.We propose novel system that allows human to operate various tasks seamlessly on quadrupedal robot.We first retarget captured into corresponding proper semantics...

Image-text retrieval is a task to search for the proper textual descriptions of visual world and vice versa. One challenge this vulnerability input image/text corruptions. Such corruptions are often unobserved during training, degrade model's decision quality substantially. In paper, we propose novel image-text technique, referred as robust semantic embedding (RVSE), which consists image-based text-based augmentation techniques called semantic-preserving image (SPAug-I) text (SPAug-T). Since...

This work proposes an efficient controller placement algorithm in SDN to address scalability challenges dense sensor networks. An important question must be answered: given network topology, how many controllers are needed, and where should they placed satisfy network-specific requirements? requires the decision-maker define a set of objectives that considered during placement. In this work, Min-Max weight determination optimization was implemented trade-offs involved two-objective problem...

In the 5G Advanced and 6G, deep learning (DL)-aided channel state information (CSI) feedback has received much attention due to its ability acquire an accurate downlink CSI at base station (BS). Many of DL-based techniques are based on autoencoder (AE), where encoder is used transform into a compressed codeword vector decoder reconstructs original from codeword. A well-known drawback these absence customized decoders capable reconstructing diverse wireless environments. this paper, we...

A camera based remote operating system of a 6×6 unmanned military robot vehicle has been developed for indoor test environment. The consists an operator console, 6-axis motion platform (driving simulator), 3-axis stabilizer, real-time model the vehicle, and virtual environment bump course. In order to investigate effectiveness system, course tests have carried out. Operators driving ability also investigated with without control stabilizer. Without it is shown that operation only possible...

Body image is a complex and multidimensional notion that includes people's opinions, assessments, feelings about their physical appearance. It has significant impact on how people build sense of self. This work aims to review body image-related research published within the past 20 years using topic modeling methodology based Python LDAvis. 1) Adolescence women's perceptions, 2) emotional distress eating disordered behavior, 3) pervasive double standards according cultural, ethnic, sexual...

Recent advances in sensing and computer vision (CV) technologies have opened the door for application of deep learning (DL)-based CV realm 6G wireless communications. For successful this emerging technology, it is crucial to a qualified dataset tailored applications (e.g., RGB images containing devices such as laptops cell phones). An aim paper propose large-scale referred Vision Objects Millimeter Terahertz Communications (VOMTC). The VOMTC consists 20,232 pairs depth obtained from camera...

In this paper, we propose a technique to acquire the sensor map of Internet Things (IoT) network. Our approach consists two main steps reconstruct Euclidean distance matrix. First, recast matrix completion problem into alternating minimization problem. We next employ cascade multiple deep neural networks recover location sensors (and original matrix) from noisy observed From numerical experiments, demonstrate that proposed method can achieve an accurate reconstruction performance with much...

Network coding is a promising technique for data communications in wired and wireless networks. However, it places an additional computing overhead on the receiving node exchange improved bandwidth. This paper proposes FPGA-based reconfigurable parallelized network decoder embedded systems especially vehicular ad hoc In our design, rapid decoding process can be achieved by exploiting parallelism coefficient vector operations. The proposed implemented using modern Xilinx Virtex-5 device its...

With the emergence of 5G era, network slicing has received much attention due to its ability support various services. Network is an approach partition a single physical into multiple slices supporting separate services and been extended handover scenario (where UE moves from one cell another) recently. In this paper, we propose deep reinforcement learning (DRL)-based handover-aware technique for selection slicing. Key ingredient proposed use action elimination reduce size slice allocation...

본 논문에서는 영상기반의 무인 차량에 대한 원격 조종 가능성을 평가할 수 있는 객관적 지표를 제안하고자 한다. 제안된 영상 흔들림 지표의 효용성을 검증하기 위하여, 가상 환경의 차량 시뮬레이터 실험 환경을 통한 주관적인 평가를 수행하였다. 환경 시뮬레이터는 다물체 동역학 기반의 실시간 프로그램, 모션시뮬레이터, 드라이버 콘솔 등으로 이루어져 있다. 해석에 의해 차량의 운동이 정의되고, 차체의 움직임이 모션시뮬레이터를 통해 반영된다. 모션시뮬레이터 위의 카메라는 흔들리는 영상정보를 피실험자에게 제공한다. 다양한 노면에 영상에 대하여 객관적인 지표와 피실험자들이 느끼는 비교하여 그 분석하였다.

Decoding operation is one of the major performance bottlenecks in network coding applications. To address problem caused by decoding delay, this paper proposes high-performance logic on field-programmable gate-array (FPGA). A Galois Field arithmetic unit (GF ALU) implemented with a full parallelization. We claim that complexity hardware reduced use log and anti-log tables. In addition, fast achieved parallelized GF ALU architecture, which allows one-row-calculations matrix to be performed...

As a means to accommodate various wireless services flexibly, network slicing (NS) has received much attention in recent years. In NS, single physical is divided into multiple slices support services. The primary goal of NS assign the resource blocks (RBs) way that requirements are satisfied and long- term throughput maximized. this paper, we put forth deep reinforcement learning (DRL)-based scheme for beyond 5G (B5G) 6G systems. By exploiting action elimination exclude allocation decisions...