Data Reception Research Articles

Design and Implementation of a Rechargeable Active/Passive RFID Tag System with Integrated Software Interface for Construction Site Equipment Tracking

Radio Frequency Identification (RFID) technology has undergone continuous development since its origin in the 1940s, finding applications across various fields. This research aimed to design and implement a rechargeable active/passive RFID Tag system operating at 433MHz, with a specific focus on its application in construction site equipment tracking. The objectives were to develop an RFID Tag capable of switching between active and passive operation modes, wirelessly recharging the battery system, and demonstrating its effectiveness in managing construction equipment. The designed Tag operates in both active and passive modes, ensuring operation even after battery depletion. Data exchange uses backscattering modulation, allowing transmission without relying on an external power supply. The Tag was implemented using an ESP8266-01 encoder, envelope detection circuit for mode switching, signal amplification unit, impedance-matched antenna, and a rechargeable power supply unit. Testing evaluated data transmission, reception, signal reliability, and distance coverage in both modes. Results showed effective performance up to 50 meters in active mode and 30 meters in passive mode. The system's application in construction site equipment tracking demonstrated significant potential for improving asset utilization, enhancing security, and streamlining inventory management. Additionally, a software interface was developed and tested, showcasing the system's ability to present real-time tracking data in both tabular and graphical formats, further enhancing its practical applicability. This research contributes to advancing RFID technology by introducing a versatile, rechargeable Tag system with practical applications in challenging environments like construction sites, complemented by user-friendly software solutions for effective asset management

Ultra‐Large Bandwidth and Ultra‐High Sensitivity Germanium/Silicon Avalanche Photodiode

AbstractGermanium/silicon (Ge/Si) avalanche photodiode (APD) has emerged as a highly desirable component for optical communication, sensing, and computing, attributed to its inherent gain. Conventional schemes typically suffer from limited bandwidth and significant excess noise due to the high gain, restricting the high‐sensitivity detection in burgeoning high‐speed applications. Here, a Ge/Si APD is developed with an ultra‐large bandwidth at an optimal gain. This breakthrough is achieved by implementing an extremely narrow multiplication layer to enhance the space charge effect, overcoming the intrinsic bandwidth limitation in conventional APDs while elaborately harnessing the gain to a moderate value to ensure the optimal sensitivity. The device possesses a bandwidth of 67 GHz at an optimal gain of 6.6 and enables data reception of 240 Gb s−1 four‐level pulse amplitude modulation signal—the largest bandwidth and highest single‐channel bitrate among all reported APDs. The presented APD suggests promising applications for high‐speed and high‐sensitivity data communication owing to its competitive performance, cost‐effectiveness, and high‐yield production.

Implementation of SDR as a Vector Network Analyzer: Methodology, Configuration, and Software Insights

Abstract Software-Defined Radios (SDR) offer unparalleled reconfigurability across a wide frequency spectrum, making them versatile tools in the RF domain, especially when capable of simultaneous data transmission and reception. This adaptability positions SDRs as cost-effective universal RF measurement devices. Leveraging these advantages, this article explores the utilization of an SDR as a Vector Network Analyzer (VNA), emphasizing an offset tuning measurement approach to mitigate negative effects inherent in SDR architectures. The research places particular attention on the software and measurement aspects of SDR-based VNA, distinguishing itself from existing recent research that predominantly concentrates on hardware setup and calibration. The study refines and generalizes existing approaches while presenting a universal methodology for VNA realization, for any SDR architecture with at least 1 full duplex transmit and receive port. By addressing the often-overlooked software aspects and proposing a novel measurement approach, this research provides a foundation for implementation, with the potential to significantly contribute to the evolution of SDR-based RF measurement methodologies.

Low dark current and low voltage germanium avalanche photodetector for a silicon photonic link

Germanium (Ge)-silicon (Si)-based avalanche photodetectors (APDs) featured by a high absorption coefficient in the near-infrared band have gained wide applications in laser ranging, free space communication, quantum communication, and so on. However, the Ge APDs fabricated by the complementary metal oxide semiconductor (CMOS) process suffer from a large dark current and limited responsivity, imposing a critical challenge on integrated silicon photonic links. In this work, we propose a p-i-n-i-n type Ge APD consisting of an intrinsic germanium layer functioning as both avalanche and absorption regions and an intrinsic silicon layer for dark current reduction. Consequently, a Ge APD with a low dark current, low bias voltage, and high responsivity can be obtained via a standard silicon photonics platform. In the experimental measurement, the Ge APD is characterized by a high primary responsivity of 1.1 A/W with a low dark current as low as 7.42 nA and a dark current density of 6.1×10−11 A/μm2 at a bias voltage of −2 V. In addition, the avalanche voltage of the Ge APD is −8.4 V and the measured 3 dB bandwidth of the Ge APD can reach 25 GHz. We have also demonstrated the capability of data reception on 32 Gbps non-return-to-zero (NRZ) optical signal, which has potential application for silicon photonic data links.

A dynamic strain prediction method for malfunction of sensors in buildings subjected to seismic loads using CWT and CNN

Structural health monitoring (SHM) is a technique used to evaluate the safety of a structure based on the structural response. In the SHM, sensors may fail to measure the structural response, or data loss can occur during the data transmission and reception. In this regard, this paper proposes a method of predicting the strain response when a sensor installed in a structural member suffers a malfunction. To this end, a convolutional neural network (CNN) is introduced to predict the strain response. Time-history strain data for seismic loads measured in adjacent structural members are set as the input layer of the CNN, and continuous wavelet transform (CWT) results are additionally set in the input layer of the CNN to reflect the dynamic structural behavior during earthquakes in the CNN predictions. Time-history strain data for a member, the target of prediction, are set as the output layer of the CNN. Then, the trained CNN uses the time-history strain data of adjacent members with no sensor failure and the CWT result of the data to predict the strain response of a structural member with sensor failure. A numerical study on the seismic load of a single-span three-story steel moment frame and an experimental study on a single-span three-story reinforced concrete frame were carried out to verify the validity of the proposed method. This study presents a method of applying CWT data to the input layer of the CNN and discusses the effectiveness of CWT data for predicting the nonlinear response of a structural member with damaged sensors.

Reception of health data using the Australian Burden of Disease study as an example

Abstract Background Health data, especially on Burden of Disease (BoD), are vital for evidence-based health promotion and effective dissemination is crucial due to resource intensiveness. Germany’s national BoD study is currently transitioning to permanence. Analysing the Australian Institute of Health and Welfare’s (AIHW) well-established collaboration with stakeholders and their reception of health data at national and regional level offers insights for improved knowledge translation. Methods To follow the path of stakeholder engagement, this 3-month project involved scientific exchanges with the AIHW and Department of Health, Western Australia. It compiled communication strategy examples and documents stating examples of BoD data use. A quantitative online survey accompanied by a series of 18 qualitative 45-minute interviews was conducted. The survey implemented via Swift Digital has been running for 20+ days. Interview partners originated from the fields of health research, politics, planning and advocacy for patients or population groups. Results were analysed, illustrated digitally as a booklet and refined in a participatory workshop. Results Communication strategies such as embargoed press and stakeholder releases as well as regular online formats were identified. The survey and interviews displayed the required technical and content-detail level from key facts to raw data and visualisation needs. Noteworthy are the demand to link data to economic aspects like disease expenditure, trends and future scenarios. It elucidated how diverse target groups utilize data to place disease significance and preventive public health measures, aiding dissemination. Alongside, it shows examples of knowledge translation by emphasizing impact over indicators when targeting communities. Conclusions Prioritizing target group identification and employing tailored communication strategies regarding data format and detail level are essential when utilizing new data. Key messages • Analyzing a well-established collaboration with stakeholders offers insights for improved knowledge translation and reveals leveraging engagement strategies for others. • Understanding stakeholder needs is essential for promoting broader health data use in policy and practice, fostering evidence-based decision-making, and enhancing public health outcomes.

Optimizing deep-space DTN congestion control via deep reinforcement learning

This paper introduces an innovative congestion control mechanism for delay/disruption-tolerant networking (DTN) within deep-space communication systems, leveraging the nuanced capabilities of deep reinforcement learning (DRL). This approach significantly departs from traditional methods, addressing the unique challenges of deep-space data transmissions. The proposed DRL-based strategy demonstrates a superior balance of critical factors, including transmission delay, energy efficiency, and data reception integrity. We assess our approach through meticulous simulation and comparison with established benchmark schemes. The findings underscore the mechanism’s enhanced performance metrics, positing it as an appealing solution in the evolving landscape of non-terrestrial networking.

Wireless transmission of audio signals and temperature data using an optoelectronic system.

This work presents an optoelectronic instrument designed for wireless visible light communication (WVLC) systems, operating within a wavelength range of 380-750nm and compatible with standard radio frequency (RF) communication. The instrument encompasses two distinct architectures. The first enables the transmission and reception of RF-processed audio signals through a three-stage process involving RF signal transmission via Bluetooth, signal multiplexing using acousto-optic modulation, a sinusoidal grating, a PIN photodetector array, and final audio playback. The second architecture focuses on the wireless transmission and reception of temperature data, utilizing a similar three-stage approach that includes temperature data measurements with an LM35 sensor, signal processing with Arduino UNO microcontrollers, and information transmission via Bluetooth. Experimental results for both architectures validate the effectiveness of this optoelectronic instrument, demonstrating its capability to integrate RF and WVLC technologies.

Design of an Integrated System for Spaceborne SAR Imaging and Data Transmission.

In response to the conflicting demands between real-time satellite communication and high-resolution synthetic aperture radar (SAR) imaging, we propose a method that aligns the data transmission rate with the imaging data volume. This approach balances SAR performance with the requirements for real-time data transmission. To meet the need for mobile user terminals to access real-time SAR imagery data of their surroundings without depending on large traditional ground data transmission stations, we developed an application system based on filter bank multicarrier offset quadrature amplitude modulation (FBMC-OQAM). To address the interference problem with SAR signals' transmission and reception, we developed a signal sequence based on spaceborne SAR echo and data transmission and reception. This system enables SAR and data transmission signals to share the same frequency band, radio frequency transmission system, and antenna, creating an integrated sensing and communication system. Simulation experiments showed that, compared to the equal power allocation scheme for subcarriers, the echo image signal-to-noise ratio (SNR) improved by 2.79 dB and the data transmission rate increased by 24.075 Mbps.

Performance investigation of UOWC system based on OAM beams for various Jerlov water types

This paper introduces a novel high-speed underwater optical wireless communication (UOWC) system employing three distinct orbital angular momentum (OAM) beams. A single green laser source operating at 532 nm generates these beams: LG0,0,LG0,20,andLG0,50, each transmitting data at 10 Gbps. The paper provides a comprehensive analysis of absorption and scattering coefficients for five Jerlov water types: I (JI), IA (JIA), IB (JIB), II (JII), and III (JIII). Simulation results demonstrate the system ability to transmit multiple data streams simultaneously using distinct OAM modes, achieving an overall capacity of 30 Gbps. The longest underwater (UW) transmission distance of 22 m is achieved in JI water as it exhibits the lowest attenuation. This range decreases by 9.09 %, 31.82 %, 59.09 %, and 80.91 % in JIA, JIB, JII, and JIII, respectively, due to increased attenuation in these water types. These results are obtained with a log (BER) below −5 and a Q-factor above 4, indicating successful data reception. The findings highlight the potential of OAM multiplexing for enhancing data capacity in challenging underwater environments.

Strengthen Method Attacks Detection in Network using VFDT Algorithm

With the tremendous progress in organizing data over networks, network security has become more important than ever in modern technologies. Hacking represents a serious security risk in the climate of data transmission and reception. Sometimes there are new types of intrusions that are constantly evolving and detection systems have a difficult problem in identifying them. In this research, we proposed Organization based Abnormality Discovery Framework (OADF) system based on training an algorithm VFDT to detect attacks detection (AD).Exploratory outcomes on the kdd cup'99 data mining list show that our system is profoundly material to arrange interruption acknowledgment. It has been shown that the proposed methodology performs better as far as acknowledgment rate, deceiving issue rate, and computational time contrasted with various techniques. To enhance the success of this work, we used other type of previously prepared test groups, it ssenet-2011 dataset, and we trained these two types separately for the purpose of reaching optimal training. The purpose of this work is to discover the largest number of attacks or penetrations that occur on the internet. Exceptionally very fast decision tree (VFDT) algorithm was utilized to build the classifier for attacks. Exceptionally VFDT algorithm is one of data mining algorithms that arrangement with high data streams in an extremely brief time frame. Trial results exhibited that the proposed Organization based Abnormality Discovery Framework (OADF) system is exceptionally effective in detecting known and obscure assaults by 93%.

Transparency in Language and Discourse: A Model for Interdisciplinary Analysis

The article points out the tendency to use highly specialized (terminological) vocabulary in modern public communication and proposes a model for interdisciplinary analysis of the new word entry into the Russian language and its functioning in different types of discourse. The explanation capability of the model, including the linguistic, axiological, cognitive (cognitive-communicative, cognitive-discursive, cognitive-psychological) aspects of analysis, is demonstrated on the example of its application to the study of the unit transparency. The ways of borrowing the word are noted: through the significant expansion of the lexical meaning under the influence of discourse (political, economic, legal, etc.) to the categorical one, associated with the processes of transmission, receipt of information and society’s response to the information occasion. The place of the word transparency in the synonymic series is determined: using the methods of lexicographic and component analysis the semantic differences of the words otkrytost (openness), dostupnost (accessibility), prozrachnost (transparency), publichnost (publicity), glasnost (disclosure), jasnost (clarity) are established. Applying the methods of contextual, logical-and-cognitive and cognitive-and-discursive analysis the data from the Russian National Corpus are studied to determine the discursive specificity in the meanings of the above mentioned synonyms, which are considered through subject-object and subject-subject relations in the process of informing and are described as the constituents in the structure of the category of transparency. The link between the linguomental phenomenon of transparency and related concepts of trust and equality is established. The authors distinguish between the voluntary and forced nature of data transfer and reception, emphasize the axiological and cognitive-and-psychological components of the information transfer in the process of group and/or mass communication. The universality of the model is proved. It has the potential for application to the consideration of other “key” issues, which reflect the mood and linguistic preferences of the epoch.

Ultra High multi channel clock frequency(THz, PHz, EHz, ZHz,YHz,XHz,WHz) baud rate speed PRBS Transceiver HDL RTL ASIC Design for Ultra High long Distance Wireless Communication Engineering Smart Computing Products/ Applications

The Key Objective is HDL RTL Design Architecture of Ultra high multi Clock Frequency Speed Rate ( MHz, GHz, THz, PHz, EHz, ZHz, etc) Bits Per Second Baud Rate ) P.R.B.S(Pseudo Random Binary Sequence) Transceiver Soft A.S.I.C IP Core product for identification of the property of Different Pseudo Random Binary Sequence Patterns (Seed Words) of 2e 7 -1, 2e10 -1, 2e 15 -1, 2e 23 -1, 2e 31 -1 tapped elements as per C.C.I.T.T-I.T.U Standards and IEEE-754 Single and Double Data Rate Data Precision Standards (32 bit & 64 Bit Data Width ) suited for Very Advanced Futuristic Hi-tech Smart High Speed Long Distance Wireless Digital Communication A.S.I.C Products / Applications like Space/Satellite, Aerospace and Large Data Processing and computing like High Speed Internet and Cloud Computing based Hi-Fi Industrial Data Automation Standard Ultra High Speed Wireless Communication A.S.I.C products and Applications-3G,4G,5G etc. The Multi channel PRBS Transceiver consists Transmitter and receiver of different PRBS patterns- 2e7 -1, 2e10 -1, 2e15 -1, 2e23 -1, 2e31 -1 NRZ. The data input transmitted and received serially in the form bit by bit. These different pattern sequences are Designated as per CCITT ITU 0.151/O.152/O.153 & AT&T Standards. The Aim and purpose of invention of Ultra high multichannel Clock frequency PRBS Transceiver is for transmit and receive data serially by using Tx_in and Tx_out, rxin, rxout signals and The Transceiver is processed the low frequency signal input with different high speed carrier wave frequencies in the form of different PRBS pseudo random binary sequence seed word bit/byte patterns -2e7 -1, 2e10 -1, 2e15 -1, 2e23 -1, 2e31 -1 NRZ and also on receiver side processed with the above patterns. Materials and Methods: Transmission and reception of Data serially based on the Deterministic random seed word pattern methods of different PRBS 2e7 -1, 2e10 -1, 2e15 -1, 2e23 -1, 2e31 -1 tapped sequence Elements and All these PRBS are purely synchronized with Ultra high clock frequency(MHz, GHz, THz, PHz, EHz, ZHz, YHz, XHz, WHz). The Soft IP Core Designed by System Verilog HDL/ Verilog HDL. RTL Design Simulation done by Synopsys VCS 2020.1 software and Altera Model-Sim Software and Logic Design Flow & Synthesis done by Xilinx ISE and Altera Quartus EDA Tools. Results: Generation of Simulation Display and waveform for Ultra High Clock frequency(MHz, GHz, THz, PHz, EHz, ZHz, YHz, XHz, WHz) Synchronized Pseudo Random Binary Sequence (PRBS) Register Transfer Level (RTL) Generators, Transceiver for efficient and effective High Quality Data transmission and Reception of Various tapped sequence patterns for Identification of property of different PRBS patterns2e7 -1, 2e10-1, 2e15-1, 2e23 -1, 2 31 -1 NRZ of Ultra high speed Long distance wireless engineering Applications/ products.

Enhancing Smart City Infrastructure: An Iot-Integrated System Approach for Real-Time Urban Management

Objectives: The primary objective of this study is to evaluate the effects of new information technologies on the workability, scalability, and reliability of urban installations. This study also aims to enhance smart city infrastructure by integrating various Internet of Things (IoT) systems, particularly for real-time smart city management. Methods : A complete experimental setup was established in a controlled urban environment encompassing numerous IoT technologies, such as environmental sensors, traffic management units, and public security systems, as well as data communication units. The Tensorflow framework, along with Python, was used to perform simulations and experiments. The system design was categorised into four key levels: data reception and transmission, computation, network and data analytics, and application. The proposed systems were subsequently tested in real-world environments, including zones frequently hosting urban events, to analyse key performance indicators. Findings : The results demonstrate significant improvements in urban management through IoT initiatives, including a 25% reduction in fine particulate matter (PM2.5) and nitrogen dioxide (NO2) levels, leading to decreased respiratory hospital admissions and enhanced air quality and health benefits. Additionally, notable advancements were observed in noise control, energy efficiency, and emergency response. Specifically, the findings recorded a 10 dB decrease in nighttime noise, a 30% reduction in energy consumption for public lighting, and a 40% faster emergency response time. These outcomes highlight the broad impact of IoT on urban sustainability and safety. Novelty : This paper introduces a novel concept focused on the design perspective of IoT-connected systems to boost smart city infrastructure, with particular emphasis on the real-time management of urban environments. Keywords: Smart Cities, IoT Technologies, Urban Infrastructure, Real ­Time Urban Management, System Architecture

Eight element MIMO antenna for sub 6 GHz 5G cellular devices

This article introduces a wide-band MIMO antenna system with eight elements specifically designed for future handheld devices. The antenna is integrated into a 150 × 75 mm2 main board with a DGS antenna beneath it, connected to feed lines, and etched onto the ground plane. Covering two distinct 5G bands from 3 GHz to 3.6 GHz and from 3.6 GHz to 3.9 GHz, with 900 MHz impedance bandwidths, this antenna enables efficient data transmission and reception across these crucial frequency ranges. The system exhibits pattern and spatial diversity characteristics, achieving an overall efficiency of 40%–60% and a peak gain of 5.3 dBi, ensuring robust signal strength and isolation exceeding 10 dB among radiating elements. Furthermore, the antenna excels in key MIMO parameters, with an envelope correlation coefficient (ECC) below 0.19, well within the industry standard of less than 0.5, and it delivers more than 9.99 dB of diversity gain. Furthermore, Channel capacity Loss (CCL), Mean Effective Gain (MEG) and Total Active Reflection Co-efficient (TARC) across the entire operational band ensure good performance, promising enhanced diversity performance, superior data throughput, and heightened signal reliability. are The SAR analysis conducted yielded positive results within the human vicinity. The measurements obtained from the prototype matched well with simulations and through measurements obtained the proposed MIMO system can be termed as a potential candidate for future 5G Mobile Phones.

Electrostatic Force-Assisted Transfer of Flexible Silicon Photodetector Focal Plane Arrays for Image Sensors.

Flexible photodetectors are pivotal in contemporary optoelectronic technology applications, such as data reception and image sensing, yet their performance and yield are often hindered by the challenge of heterogeneous integration between photoactive materials and flexible substrates. Here, we showcase the potential of an electrostatic force-assisted transfer printing technique for integrating Si PIN photodiodes onto flexible substrates. This clean and dry process eliminates the need for chemical etchants, making it a highly desirable method for manufacturing high-performance flexible photodetector arrays, expanding their widespread applications in electronic eyes, robotics, and human-machine interaction. As a demonstration, a 5 × 5 flexible Si photodetector focal plane array is constructed for imaging sensors and shaped into a convex semicylindrical form to achieve a π field of view with long-term mechanical and thermal stability. Such an approach provides a high yield rate and consistent performance, with the single photodetector demonstrating exceptional characteristics, including a responsivity of 0.61 A/W, a response speed of 39.77 MHz, a linear dynamic range of 108.53 dB, and a specific detectivity of 2.75 × 1012 Jones at an applied voltage of -3 V at 940 nm.

Development of an Improved Communication Control System for ATV Electric Vehicles Using MRS Developers Studio

Transmission, energy management, and distribution systems are critical components of modern electric vehicles, encompassing all sectors of the power system through communication control technology. One widely used communication system in electric vehicles is the Controller Area Network (CAN). This research aims to investigate the development of CAN BUS technology, adapted from large trucks, to control the communication system within an ATV electric vehicle using a communication format similar to bus Communication. The communication control system includes several components: the engine switch, headlight, turn signal, emergency light, horn, forward/reverse gear, and accelerator. The system’s communication protocols were developed using MRS Developers Studio version 1.40 software to create the data transmission and reception formats for the vehicle’s components. The communication system employs three PLC 1.033.30B.00 type E control boxes, each with limited analog and digital input/output ports. The sequence of communication control begins with the engine start/stop operation, as the system will not function unless the engine is started first. The headlight operation is processed within the CAN BUS1 control box. Simultaneously, the turn signal and emergency light functions are controlled by CAN BUS1 and displayed on both the CAN BUS2 (front of the vehicle) and CAN BUS3 (rear of the vehicle) control boxes. Additionally, the accelerator function is managed within the CAN BUS2 control box and displayed on the CAN BUS3 control box. However, this operation is contingent upon the forward/reverse gear selection, managed by CAN BUS1 and processed by CAN BUS3. All system operations are designed within the software’s programming paths. The communication system operates using CAN-High and CAN-Low lines, and communication data fields can be monitored using the PCAN-View software version 4.2.1.533. This study demonstrates the feasibility and effectiveness of adapting CAN BUS technology for ATV electric vehicles, providing insights into the integration and control of various vehicular components within a unified communication framework.

A Multi-Channel Data Simulator Based on the Time Unification System

In satellite and airborne electro-optical tracking systems, there are numerous processing devices and complex data flows. To ensure the coordinated operation of the system, the multiple devices within the target system must operate under unified time control for data acquisition, computation, and output. This study introduces a multi-channel data simulator based on a time unification system. The complete simulation system includes the host computer, simulator, target system, and time reference generator. The simulator has programmable input and output interfaces for multi-channel protocols and has storage and real-time working modes. In the storage mode, the simulated data are pre-transmitted to the simulator’s storage and sent to the target system according to the time reference generator. The simulator simultaneously stores the target system results. In the real-time mode, the host computer generates simulated data based on the target system’s results and outputs the data through the simulator in real time. The main contribution of the simulator is that it achieves system-level closed-loop simulation and completes the functional and performance verification of the target system. Through experimental verification, it is found that the simulator can achieve 4.2 Gbps of simulated data transmission and 1.6 Gbps of data reception and storage, with a closed-loop delay of 39.9 µs.

Data acquisition system for a newly-built hard x-ray/soft gamma-ray spectrometer imaging system on experimental advanced superconducting tokamak

A portable hard X-ray and soft gamma-ray spectrometer imaging system (HXS) has been constructed to gather physical information about fast electrons confined in the Experimental Advanced Superconducting Tokamak (EAST). The system is installed on the low field side of the mid-plane and provides a viewing field tangential to the toroidal field. The system utilizes a two-dimensional Cadmium Zinc Telluride (CdZnTe) semiconductor detector with 128 channels, and a data acquisition (DAQ) system has been designed for it. The DAQ system features a highly integrated signal processing system with the capability of high-speed processing and digital transmission of signals from 128 channels. In addition, a related DAQ software has been developed using a modular design approach, facilitating tasks such as data reception, storage, and preliminary processing. HXS, which has been applied during the recent EAST campaign, directly obtains the digital energy spectrum of incident photons. The DAQ system is described in detail in this paper. The hardware components and energy calibration have also been described. Experimental data have been successfully obtained and briefly discussed. More physical research will be reported in future publications.

Implementation of Data Parsing on Arduino Mega and NodeMCU ESP8266 for Web-Based Monitoring of E-Bike Charging Station

The rising trend of electric bicycles in Indonesia necessitates an efficient monitoring system for electric bicycle charging stations to ensure optimal performance and timely decision-making. This study focuses on developing and testing a web-based monitoring system utilizing Arduino Mega and NodeMCU ESP8266 for real-time data transmission and analysis. The system integrates multiple sensors, including ACS712 current sensors, DC voltage sensors, and PZEM004T sensors, to monitor key parameters such as current, voltage, power, and energy. Data parsing, a crucial process for efficient transmission, is performed on the Arduino Mega before being sent to the NodeMCU ESP8266, which then forwards the data to a web server. The research employs the Research and Development (R&D) method, encompassing stages of information gathering, system planning, implementation, and evaluation. Testing revealed that data parsing failures were due to data loss and format corruption caused by serial communication issues. Various transmission delays (0 ms, 100 ms, 200 ms, and 500 ms) were tested to evaluate their impact on data loss, communication latency, and system responsiveness. The results indicate that a 200 ms delay offers an optimal balance between data transmission frequency and system stability, with minimal data loss and stable latency. The study also explored the effects of data reception delays on the web server, highlighting that lower transmission frequencies result in more stable reception delays and better overall performance. Efficient network resource usage and system responsiveness were achieved with appropriate delay configurations.