Data Transfer Method Research Articles

A Simultaneous Wireless Power and Data Transfer Method Utilizing a Novel Coupler Design for Rotary Steerable Systems

A Simultaneous Wireless Power and Data Transfer Method Utilizing a Novel Coupler Design for Rotary Steerable Systems

Error-Free Arduino Communication: Integrating Hamming Code for UART Serial Transmission

Serial communication is a fundamental method for data transfer in electronic devices, particularly in Arduino-based systems. However, existing protocols, such as Universal Asynchronous Receiver/Transmitter (UART), often lack robust error detection mechanisms, leading to potential data integrity issues. This study aims to address the knowledge gap regarding error detection in UART communication by implementing Hamming Code, a well-established method for detecting and correcting single-bit errors. The research employs a systematic approach, including data encoding before transmission and decoding with error correction at the receiver end. The results demonstrate that the integration of the Hamming Code significantly enhances the reliability of data transmission, reducing error rates and improving overall system performance. The implications of this research extend to various applications requiring high data integrity, such as industrial control systems and Internet of Things (IoT) devices. By providing a practical solution to the challenges of error detection in serial communication, this study contributes to the advancement of reliable communication systems in modern technology.

Transferring Data Using a Visible Light

This project aims to demonstrate the availability and usability of a basic Li-Fi system that can be manufactured and utilised in daily life starting with the fundamental tools. We present a novel method of data transfer that combines sustainable energy harvesting with high-speed communication (using Li-Fi technology). This makes it suitable for a range of applications, such as secure data communication, Internet of Things (IoT) devices, and wireless sensor networks. A light communication system called Li-Fi uses modulating circuits and regular LED bulbs. We shall explain in this how light from an LED diode is utilised as a transmission medium for this purpose. Compared to Wi-Fi, it transfers data more quickly. In the experimental setup, modulated light signals are emitted by LEDs and detected by solar cells that have photodetectors installed. To recover the transmitted data, the receiving signal must be decoded. Light from the source is directed through a plane convex lens to minimise losses at the lowest levels. If the light source is precisely at the focal point, the light rays on the exit will extend nearly parallel and strike the solar cell with the least amount of loss. It also emphasises how this technology will be used in the future. Additionally, it showcases the technology that will enable data transfer at the speed of light in the future and make efficient use of the light spectrum to connect gadgets to the internet. ex. Organization v2v(vehicle-to-vehicle), Smart mirror, Indoor navigation in building and landscapes, Hospital and health care...etc.,

Orthogonal-Frequency Simultaneous Wireless Power and Data Transfer for High-Power Wireless EV Charging

In a simultaneous wireless power and data transfer (SWPDT) system using common coils, achieving high-speed communication in high-power wireless charging systems is challenging due to power transfer interference on communication. Based on high-frequency data carrier-based SWPDT (HFDC-SWPDT) technology, this paper proposes an orthogonal-frequency simultaneous wireless power and data transfer (OF-SWPDT) method to minimize interference where the data carrier frequency is orthogonal to the power carrier frequency and its harmonics. In addition, a guard band is inserted between the spectra of power harmonics and data in order to further separate the power and data spectra. Thus, a high-power, high-speed SWPDT system is achieved. Finally, an 11 kW prototype with 64.125 kbps full-duplex communication is developed to validate the proposed method.

A Simultaneous Power and Data Transfer Method for Dynamic Wireless Charging Electric Vehicles

A Simultaneous Power and Data Transfer Method for Dynamic Wireless Charging Electric Vehicles

THE DATA TRANSFER METHOD IN HETEROGENEOUS INTEGRAL CIRCUITS

The developed method of data transfer between internal functional components of heterogeneous integrated circuits (IC) is presented. The main feature of the latter lies in the use of a modified architecture of heterogeneous ICs. Due to this, the presented method provides a significant reduction in the number of power buses between cores at the ex-pense of a slight increase in the occupied surface on the die. Multi-core central processing units (CPUs) provide parallelism at the level of executed commands. For example, a dual-core processor can provide up to twice the performance of a single-core processor at the same frequency. A synchronizer architecture is also proposed based on the use of an ana-log signal comparator instead of additional cascades to detect the metastable state at the output of the first cascade. It can serve as a basis for the design of synchronizers with a complex structure. a method of improving the means of data transfer between component parts in heterogeneous integrated circuits has been proposed, which, due to the modified architecture, provides a significant reduction in the number of power buses between cores, at the expense of a slight increase in the area of the core. An architecture of a syn-chronizer based on the use of an analog signal comparator instead of additional cascades to detect the metastable state at the output of the first cascade has also been proposed.

The Hybrid Pathway to Flexible Power Turbines, Part II: Fast Data Transfer Methods Between Varying Fidelity Simulations, to Enable Efficient Conjugate Thermal Field Prediction

Abstract The global drive toward renewable energy is imposing challenging operating requirements on power turbines. Flexible load-leveling applications must accept more frequent and demanding start-stop cycles. Full transient analyses are too computationally expensive for real-time simulation across all operating regimes so monitoring relies on sparse physical measurements. Alone, these sparse data lack the fidelity for real-time prediction of a complex thermal field. A novel hybrid methodology is proposed, coupling data across a range of fidelities to bridge the limitations in the individual analyses. Combining several fidelity methods in parallel; low-order models, corrected by real-time physical measurements, are calibrated with high-fidelity simulations. A newly developed low-order thermal network code is used to predict the thermal field in real-time. High-fidelity flow characteristics are routinely transferred to the decoupled low-order solution. A critical enabling feature of this hybrid approach is the fast data interpolation between differing fidelity numerical simulations. This paper evaluates a spatial Kriging method for robust data transfer between two different fidelity mesh, tested in the case of thermal profile prediction of a power turbine. Additionally, a novel coordinate-based hash mapping process is demonstrated for the fast high-to-low fidelity data transfer. Localized hashing allows independent, parallel, nearest neighbor search at significantly reduced computational cost. The demonstrated method facilitates fast mesh pairing, necessary to support the real-time hybrid method for thermal field prediction during turbine transient operation.

Thermal-fluid-structure coupling progressive failure analysis for the type III composite cylinder under localized fire

Predicting the failure characteristics of composite cylinders under fire is the key to improve the fire resistance and safety of cylinders. However, the current thermal-mechanical coupled failure analysis methods for composite cylinders under fire have several limitations such as oversimplification of the cylinder dome's geometric model and the fire source. To solve these problems, a comprehensive three-dimensional thermal-fluid-structure coupling progressive failure analysis method is developed. This method encompasses a fully coupled conjugate heat transfer model, a FLUENT-ABAQUS data transfer method, and a progressive failure analysis model integrates the Hashin failure criterion and nonlinear damage evolution for fiber reinforced composites. The method is adopted to analyze the fire-resistant performance of a type Ⅲ cylinder to obtain the fire-resistant time, failure pressure and burst location of the cylinder, finding that the pattern of failure pressure depreciation correlates with the burst location of cylinder under localized fire. Besides, the influence of the glass-fiber/epoxy layer on the fire-resistant performance of the cylinder is discussed, demonstrating that even a thin layer of glass-fiber epoxy can significantly increase the fire resistance time of the cylinder.

Thermal Cues Composed of Sequences of Pulses for Transferring Data via a Haptic Thermal Interface.

This research study is the preliminary phase of an effort to develop a generic data transfer method via human haptic thermal sensation (i.e., a coded language such as Morse or Braille). For the method to be effective, it must include a large variety of short, recognizable cues. Hence, we propose the concept of cues based on sequences of thermal pulses: combinations of warm and cool pulses with several levels of intensity. The objective of this study was to determine the feasibility of basing a generic data transfer method on haptic thermal cues using sequences of short pulses. The research included defining the basic characteristics of the stimuli parameters and developing practical methods for generating and measuring them. Several patterns of different sequences were designed considering the relevant data known to date and improved by implementing new insights acquired throughout the tests that were conducted. The final thermal cues presented to the participants were sensed by touch and clearly recognized. The results of this study indicate that developing this new method is feasible and that it could be applicable in various scenarios. In addition, the low impact measured on the user's skin temperature represents an inherent advantage for future implementation. This report presents promising findings and offers insights for further investigations.

A Simultaneous Wireless Power and High-Rate Data Transfer System Based on Transient Responses Regulation

In this letter, a simultaneous wireless power and data transfer (SWPDT) method for wireless power transfer systems is proposed. Data and power are transferred via the same coupler. To achieve a high transfer power and a high data transfer rate, double-side LCC compensation topology with band-pass filtering is adopted to create a favorable condition for data transfer. An inductor fully compensated at the power carrier frequency and connected serially with the coupled coil is used to inject and extract the data carrier and multiplexed to conduct the power carrier. In addition, the duration time of the transient responses of the data transfer channel is regulated based on complex frequency-domain analysis. Finally, a 1.1 kW SWPDT experiment prototype with a data transfer rate of 1 Mbps and a data transfer delay of 0.4 μs is built to verify the feasibility of the proposed method.

A data transfer method based on one dimensional convolutional neural network for cross-building load prediction

A data transfer method based on one dimensional convolutional neural network for cross-building load prediction

Dataset Enhancement and Multilingual Transfer for Named Entity Recognition in the Indonesian Language

Named entity recognition in the Indonesian language has significantly developed in recent years. However, it still lacks standardized publicly available corpora; a small dataset is available but suffers from inconsistent annotations. Therefore, we re-annotated the dataset to improve its consistency and benefit the community. Our re-annotation led to better training results from an effective baseline model consisting of bidirectional long short-term memory and conditional random fields. To fully utilize the limited available data, we utilized better contextualization and transferred external knowledge by exploiting monolingual and multilingual pre-trained language models, such as IndoBERT and XLM-RoBERTa. In addition to the general improvement from the language models, we observed that the monolingual model is more sensitive, while the multilingual ones show advantages in rich morphological knowledge. We also applied cross-lingual transfer learning to utilize high-resource corpora in other languages. We adopted English, Spanish, Dutch, and German as the source languages for the target Indonesian language and found that Dutch plays a special role in the data transfer method due to morphological similarity attributable to historical reasons.

RWD100 Evaluation of an Electronic Medical Records-Based Spinal Muscular Atrophy Registry for Outcomes Research Readiness: Results from a Comprehensive Gaps Assessment

In 2018, Cure SMA launched the Clinical Data Registry (CDR), a real-world data (RWD) source to improve spinal muscular atrophy (SMA) standards of care. RWD included electronic medical record (EMR)-sourced data linked to an SMA-specific electronic case report form (eCRF). The CDR is comprised of data from ∼800 patients with SMA receiving care from 19 US care centers. Documentation patterns, EMR systems, and data transfer method vary across data-contributing sites, which may impact data quality. We sought to explore gaps in CDR processes to understand steps needed to improve data quality and to increase the confidence of future CDR analysis designs to support various use cases.

A Coupled Heat Transfer Calculation Strategy for Composite Cooling Liquid Rocket Engine

To better understand the characteristics of coupled heat transfer in liquid rocket engines, a calculation scheme is proposed in this paper. This scheme can simulate the coupled heat transfer processes, including combustion and flow in the thrust chamber, radiation heat transfer, heat conduction in the wall, heat transfer of coolant flow in the cooling channel, and gas film cooling in the thrust chamber wall. The numerical method used in each physical area, the data transfer method between each computing module, the strategy of data transfer on the coupling interface, the calculation process, and the convergence criterion are all introduced in detail. The calculation scheme was verified by analyzing a water-cooled nozzle. Then, the coupled heat transfer calculation was carried out for a liquid rocket engine using a propellant composed of unsymmetrical dimethylhydrazine and dinitrogen tetroxide. Two working conditions were analyzed: whether the gas film cooling was performed or not. The results showed that the algorithm successfully indicated the protective effect of the gas film on the wall surface, and the calculation results were reasonable. It played a guiding role for the coupled heat transfer of the liquid rocket engine using a composite cooling method.

A Research Toward Chinese Named Entity Recognition Based on Transfer Learning

To improve the performance of named entity recognition in the lack of well-annotated entity data, a transfer learning-based Chinese named entity recognition model is proposed in this paper. The specific tasks are as follows: (1) first/, a data transfer method based on entity features is proposed. By calculating the similarity of feature distribution between low resource data and high resource data, the most representative entity features are selected for feature transfer mapping, and the distance of entity distribution between the two domains is calculated to make up the gap between the data of the two domains then model is trained by high resource data. (2) Then, an entity boundary detection method is proposed. This method utilizes the BiLSTM+CRF as the main structure and integrates character boundary information to assist the attention network to improve the model’s ability to recognize entity boundaries. (3) Finally, multiple named entity recognition methods are selected as baseline methods for comparison, and experiments are conducted on several datasets. The results show that the model proposed in this paper improves the accuracy of named entity recognition by 1%, the recall rate by 2%, and the F1 value by 2% on average in the field with low-resource.

Comparative Review of Selected Internet Communication Protocols

Abstract With a large variety of communication methods and protocols, many software architects face the problem of choosing the best way for services to share information. For communication technology to be functional and practical, it should enable developers to define a complete set of CRUD methods for the processed data. The research team compared this paper’s most commonly used data transfer protocols and concepts: REST, WebSocket, gRPC GraphQL and SOAP. A set of web servers was implemented in Python, each using one of the examined technologies. Then, the team performed an automated benchmark measuring time and data transfer overhead for a set of defined operations: creating an entity, retrieving a list of 100 entities and fetching details of one entity. Tests were designed to avoid the results being interfered with by database connection or docker-compose environment characteristics. The research team has concluded that gRPC was the most efficient and reliable data transfer method. On the other hand, GraphQL turned out to be the slowest communication method of all. Moreover, its server and client libraries caused the most problems with proper usage in a web server. SOAP did not participate in benchmarking due to limited compatibility with Python and a lack of popularity in modern web solutions.

Research on blasting cumulative dynamic damage of surrounding rock in step construction tunnel

In the process of cyclic blasting during tunnel excavation, the reserved surrounding rock sustains irreparable damage accumulation. For safe tunnel construction, it is imperative to understand the characteristics of blasting dynamic cumulative rock damage. Sonic wave test and numerical simulation methods were applied to the research. The JH-2 model was adopted as the damage model of surrounding rock. Based on the data transfer method between solvers in ABAQUS software, the cumulative damage was calculated. The damage characteristics were obtained by combining the sonic wave test results. According to the research findings, the entire reserved surrounding rock has periodic damage characteristics. Each periodic damage area has a funnel shape along the tunnel’s longitudinal direction, with a length of 160 cm, and 1.07 times the excavation footage. The latter excavation footage's blasting effect on the damaged area of the previous footage rock is 40 cm long, with three cumulative damage patterns. The three cumulative damage patterns more clearly reveal the surrounding rock's additional damage law, the degree of additional damage is greatest with the distance of 5–20 cm from the latter excavation footage. The research can provide appropriate theoretical guidance for the design of the step-blasting construction tunnel's blasting scheme and lining.

High-Performance Digital Lock-In Amplifier Module Based on an Open-Source Red Pitaya Platform: Implementation and Applications

A lock-in amplifier (LIA) is an instrument that can extract weak signals from extremely noisy environments, and it is widely used in various precision measurement fields. However, there are still challenges in lock-in techniques in experiments that require high-frequency or multiple lock-in channels, such as high-frequency vibration detection and experiments with quantum sensors. The direct use of commercial LIAs will result in high experimental costs. Herein, a high-performance digital LIA module based on an open-source Red Pitaya (RP) platform is constructed. The quantitative description of the demodulation results, efficient data transfer method, and the development of the automated measurement functions in experiments are carried out in this module. As demonstrations, the phase difference and thermal noise measurements are conducted using the module. The research on temperature sensing with the frequency shift of quartz crystals and semiconductor doping concentration measurements has also been implemented. These demonstrations show that the digital lock-in module has good application prospects.

Design of an Optimum Massive MIMO FSO System and Analysis of its Performance in Different Weather Conditions

This aim of this work is to propose a massive MIMO FSO system with optimum design parameters and analyze its performance in various turbulent weather conditions by simulating the model in Optisystem . In recent years, the need for high speed data transfer for real time communication has become a necessity. Implementation of massive MIMO system has already gained remarkable achievement using the conventional RF transmission system. Although it is very much efficient in its application, it has some problems, such as licensing restrictions, bandwidth depletion, fragmentation. In this respect, Free space optics (FSO) is an efficient method for high speed data transfer as it does not have above limitations. Different researches conducted using MIMO FSO models have shown promising results. The use of massive MIMO system (more than array of antennas) will enhance data rate further. In this research work, an optimum massive MIMO FSO system has been designed with array of antennas. The performance of this system is analyzed in different weather conditions and compared with that of system. The analysis of performance is done by power penalty and receiver sensitivity plots. A significant transmission range and an optimum performance is obtained by using this system at a data rate of Gbps. However, data transmission rate can be much more enhanced in this system at the cost of reduced performance and a shorter transmission range.

Conservative high-order data transfer method on generalized polygonal meshes

A conservative data transfer (remap) between two meshes is an important step of arbitrary Lagrangian-Eulerian (ALE) hydrodynamics simulations. High-order numerical methods for ALE simulations require both high-order (curvilinear) meshes and high-order remap algorithms. We develop a conservative and bounds-preserving method for accurate remapping of discrete fields on generalized polygonal meshes with curvilinear edges. The properties of the proposed method are studied theoretically and numerically for various (smooth and non-smooth) mesh deformations and discrete fields that represent smooth and discontinuous functions.