This paper investigates the capacity-power trade-off in quantum communication channels under energy harvesting (EH) constraints, introducing a novel framework for analyzing the impact of the harvested energy requireme...
详细信息
ISBN:
(数字)9798331531591
ISBN:
(纸本)9798331531607
This paper investigates the capacity-power trade-off in quantum communication channels under energy harvesting (EH) constraints, introducing a novel framework for analyzing the impact of the harvested energy requirements on the achievable channel capacity. We extend the conventional study of quantum channel capacity by incorporating realistic EH models into the analysis for both discrete-variable and continuous-variable quantum channels. Specifically, we explore the amplitude damping channel and quantum erasure channel as representative examples of discrete channels as well as the lossy bosonic channel and additive Gaussian noise channel for the continuous variable case. For each channel, we derive the capacity-power function by solving appropriate optimization problems that balance information transfer and EH requirements. Our results reveal critical insights into the interplay between quantum information transfer and EH constraints, highlighting fundamental trade-offs that are essential for designing an efficient quantum communication systems with EH.
A new three-phase multiport AC-DC converter with integrated DC-DC conversion stages is introduced in this paper. The converter features one three-phase AC port and three DC ports: one AC port and one DC port are bidir...
详细信息
RowHammer vulnerabilities pose a significant threat to modern DRAM-based systems, where rapid activation of DRAM rows can induce bit-flips in neighboring rows. To mitigate this, state-of-the-art host-side RowHammer mi...
详细信息
The development of data sharing in cloud computing has proven valuable. The Paper explores the complexities of ensuring data security within cloud environments and proposes a solution centered around proxy re-encrypti...
详细信息
This paper presents a flexible energy management system to manage an electric bus charging station incorporated with solar power, energy storage system and the main grid. To account for solar power uncertainties, rand...
详细信息
In the era of exponential surge in volume of healthcare data propelled advancements in technology and digitalization of medical data, securely managing the medical records is a significant challenge. The rapid growth ...
详细信息
Body Language decoding is an important aspect of understanding human emotions, intentions, and personality by interpreting non-verbal cu es. It helps to get insights into human behavior, mindset, and psychology of the...
详细信息
ISBN:
(数字)9798331508685
ISBN:
(纸本)9798331519476
Body Language decoding is an important aspect of understanding human emotions, intentions, and personality by interpreting non-verbal cu es. It helps to get insights into human behavior, mindset, and psychology of the person. AI Body Talk is a software system that is capable of detecting and interpreting the body language of a person in real-time inference. It can recognize the sign language along with face, hand, and pose estimation with immediate feedback. It empowers the minority group of society who use sign language to communicate in society equipped with the Mediapipe to train custom models with its pre-built solutions to detect face landmarks, hand-tracking, and pose estimation. The results exemplify the system’s potential for various applications like monitoring audience distraction, inspecting interviewee personality, understanding cultural sensitivity, diagnosing patients' health, and more.
This article presents the successful design, fabrication, and experimental evaluation of a 6.5 kV SiC MOSFET module prototype configured as a full-bridge. The academic literature indicates significant interest in modu...
详细信息
ISBN:
(数字)9798331533601
ISBN:
(纸本)9798331533618
This article presents the successful design, fabrication, and experimental evaluation of a 6.5 kV SiC MOSFET module prototype configured as a full-bridge. The academic literature indicates significant interest in modules of this voltage class, as well as advanced-topology designs such as the full-bridge configuration. However, to the best of the authors’ knowledge, there have not been any reports of full-bridge module designs implemented for voltage levels above 1.7 kV. The module prototype described in this paper is based on the industry-standard XHP3 footprint popularized by Infineon. The specific prototype discussed herein is a sub-scale prototype, which was fabricated and evaluated as a preliminary step to the fabrication of a full-scale prototype. The successful implementation of the prototype discussed in this paper demonstrates the viability of this concept and provides a foundation for continued development.
The rapid expansion of the Internet of Things (IoT) ecosystem has revolutionized various sectors but has also introduced critical vulnerabilities in cybersecurity. Conventional centralized methods for securing IoT net...
详细信息
One of the crucial approaches that use tracking and analyzing human movement for the identification of functional disorders and illnesses of the human body is known as the gait analysis method. This method helps diagn...
详细信息
ISBN:
(数字)9798331513894
ISBN:
(纸本)9798331513900
One of the crucial approaches that use tracking and analyzing human movement for the identification of functional disorders and illnesses of the human body is known as the gait analysis method. This method helps diagnose neurological and musculoskeletal conditions. It also tracks the effectiveness of rehabilitation. However, conventional techniques for analyzing gait frequently depend on costly items and methods like fixed lab apparatus, force plates, and motion capture devices. But new developments in wearable sensor technology and machine learning provide new methods that are cheaper, more affordable, portable, and easily accessible. It continuously tracks gait in real-world settings. In this work, the use of wearable sensors for gait analysis, which includes devices like magnetometers, gyroscopes, and accelerometers, is examined. They are integrated into gadgets like smartphones, insoles, and smartwatches and offer real-time kinematic data that machine learning algorithms can analyze. Some of the important gait parameters 1that are extracted from sensor data are stride length, cadence, and gait symmetry. Machine learning is used to process this data and use it for categorization and gait analysis. The suggested method improves patient monitoring outside of clinical settings. It supports individualized rehabilitation plans and also identifies early indicators of gait abnormalities. The use of the wearable sensor-based gait analysis may emerge as a game-changing medical tool. It offers constant, discrete monitoring and prompts intervention in gait-related disorders. This works explains it thoroughly. This report offers insights for upcoming researchers in the field by surveying the state of the art in wearable sensor-based gait analysis.
暂无评论