Acquisition Channels Research Articles

A New Calibration Method for Broadband Complex Resistivity Measurement System of Rocks and Ores

The complex resistivity (CR) measurement constitutes a practical methodology for investigating the internal structures of rocks and ores alongside their mineralogical compositions and the chemical properties of fluids. However, during complex resistivity testing, particularly at high frequencies, the leakage current caused by the distributed capacitance of the instrument’s acquisition channels reduces the measurement accuracy. Additionally, the contact impedance of the measuring devices and the electromagnetic coupling effects of the measurement cables further affect the complex resistivity test results of samples. To accurately characterize samples’ intrinsic induced polarization (IP) properties, we developed a broadband complex resistivity measurement system (1 mHz–100 kHz) for rocks and ores, comprising a complex resistivity analyzer and a sample holder, employing the four-electrode method. In this study, we establish a circuit model for the measurement system to analyze the influence of the distributed capacitance of the acquisition channels on the test results at elevated frequencies. We derive the error terms inherent in the instrument’s measurements across various circuit design configurations and propose a novel method for calculating the distributed capacitance of the instrument’s acquisition channels, the parasitic capacitance of the sampling resistor, and for calibrating data by reversing the polarity of the excitation signal. Furthermore, we investigate the effect of contact impedance within the measurement setup on test results and design two sample-testing devices. Through extensive testing on multiple circuit models and samples, the system achieves an accuracy of up to 1% within the 10 MΩ range. Its overall performance surpasses that of the Solartron 1260A impedance analyzer and traditional signal source forward connection calibration methods. This advancement holds significant implications for complex resistivity measurements and the study of rock physical properties.

MexSIC, a Data Acquisition Channel for SiPMs

MexSIC, a Data Acquisition Channel for SiPMs

Adaptive optimization of electromyographic channels for intelligent prosthetic hands based on individual differences

Intelligent prosthetic hands typically require an increase in the number of acquisition channels to improve gesture recognition accuracy, resulting in increased device complexity and cost. However, there are individual differences in muscle strength, body mass index, and exercise habits. Electromyographic prosthetic hands currently use standardized electromyographic channel configurations, which lack adaptability to individual differences. To address these issues, this paper proposes the electrode configuration adaptive optimization algorithm, which enhances and integrates traditional genetic algorithms and simulated annealing algorithms, and implements adaptive optimization solutions for different subjects. Experimental results show that the optimization outcomes differ among different subjects. Compared to a single optimization algorithm, the proposed algorithm can adaptively optimize the electrode configuration based on individual differences while ensuring recognition effectiveness, retaining electrode channel information that significantly contributes to gesture classification recognition, and meeting the stable recognition of their motion intentions by different subjects.

Wireless optically pumped magnetometer MEG

The current magnetoencephalography (MEG) systems, which rely on cables for control and signal transmission, do not fully realize the potential of wearable optically pumped magnetometers (OPM). This study presents a significant advancement in wireless OPM-MEG by reducing magnetization in the electronics and developing a tailored wireless communication protocol. Our protocol effectively eliminates electromagnetic interference, particularly in the critical frequency bands of MEG signals, and accurately synchronizes the acquisition and stimulation channels with the host computer's clock. We have successfully achieved single-channel wireless OPM-MEG measurement and demonstrated its reliability by replicating three well-established experiments: The alpha rhythm, auditory evoked field, and steady-state visual evoked field in the human brain. Our prototype wireless OPM-MEG system not only streamlines the measurement process but also represents a major step forward in the development of wearable OPM-MEG applications in both neuroscience and clinical research.

Real-time tracking of the Bragg peak during proton therapy via 3D protoacoustic Imaging in a clinical scenario

Proton radiotherapy favored over X-ray photon therapy due to its reduced radiation exposure to surrounding healthy tissues, is highly dependent on the accurate positioning of the Bragg peak. Existing methods like PET and prompt gamma imaging to localize Bragg peak face challenges of low precision and high complexity. Here we introduce a 3D protoacoustic imaging with a 2D matrix array of 256 ultrasound transducers compatible with 256 parallel data acquisition channels provides real-time imaging capability (up to 75 frames per second with 10 averages), achieving high precision (5 mm/5% Gamma index shows accuracy better than 95.73%) at depths of tens of centimeters. We have successfully implemented this method in liver treatment with 5 pencil beam scanning and in prostate cancer treatment on a human torso phantom using a clinical proton machine. This demonstrates its capability to accurately identify the Bragg peak in practical clinical scenarios. It paves the way for adaptive radiotherapy with real-time feedback, potentially revolutionizing radiotherapy by enabling closed-loop treatment for improved patient outcomes.

An integrated dual-frequency IVUS system with interleaved sampling and parallel signal processing based on FPGA

Abstract Due to the lack of high voltage and low frequency pulse transmission channels, commercial high frequency IVUS imaging system cannot meet the hardware requirements of ultrasound angiography. Therefore, it is of great research significance to develop a dual-frequency IVUS rotary imaging system with high integration, high sampling rate and sampling accuracy. In this work, an integrated dual-frequency IVUS system with interleaved sampling and parallel signal processing based on FPGA was developed. The central frequency of low-frequency channel is up to 10MHz, and the peak voltage range is 80-200V. The central frequency of the high-frequency channel is up to 60MHz, and the voltage peak-to-peak range is 40-80V. The acquisition channel is 500MHz and 12bit, which is realized by interleaved sampling of two ADC. The motor controlled ultrasonic transducer acquires 400-800 lines per turn, and eventually form a 360-degree IVUS hybrid imaging successfully.

Near-zero distortion in TCSPC at more than one photon per excitation period: experimental validation.

The time-correlated single-photon counting (TCSPC) technique is widely renowned for its capability of reconstructing rapid and weak light signals with exceptional sensitivity and sub-picosecond timing resolution. Unfortunately, the speed of TCSPC has been historically severely limited to avoid a phenomenon known as pileup distortion. For this reason, the count rate of a classic TCSPC acquisition channel is kept below a few percent of the laser excitation rate (usually 1%-5%). In this work, we experimentally validate a novel, to our knowledge, TCSPC theory recently reported that effectively overcomes such a limitation and finally achieves high-speed operation without distortion. Exploiting a single-photon avalanche diode (SPAD), in this paper we show how to acquire additional information about the status of the system at run time, and by combining it with the classic TCSPC data histogram, we report how a count rate of approximately 60% of the excitation frequency with near-zero distortion can indeed be achieved with a commercial system.

A comparative study of four combined methods for planning access to the anterior acetabular column for nail placement

To investigate global optimisation of anterior acetabular column pinning channels can be achieved based on large density point cloud data. Data were collected on the CT scans of the normal pelvis in 40 adults from January 2022 to January 2023, including 22 males and 18 females, aged 20 to 54 years old. Medical imaging data from three of the samples were selected for experimental study. In planning access for anterior acetabular column pinning, to address the issue of whether the current CAD planning methods were advanced or not, four combinations of the same point cloud acquisition channels, different directional line creation software, and the same 3D design and virtual experiment software were proposed: Mimics+Imageware+UG, Mimics+3DReshaper+UG, Mimics+ZEISS Quality Suite+UG and Mimics+Design X+UG, and directional lines created based on the centroid point set and solid point cloud of the secondary pruning model, respectively, and it applied to the planning of the left anterior column pinning channel of the three acetabular samples. The maximum internally connected cylinder without acetabular socket and pubic bone penetration was used as a safe passage for nailing of the anterior acetabular column to evaluate the advancement of each method. The fitting effect of the directional line was better than that of the unnoised solid point cloud when the central point set with obvious relevant features was selected as the sample points;and the combination of Mimics+Imageware+UG and Mimics+3DReshaper+UG could efficiently and stably obtain the desirable planning results when planning with the central point set, respectively, in the three acetabular samples 1, 2, 3. The maximum internal joint circle diameters obtained in samples 1, 2, and 3 were 10.35 mm, 9.62 mm, and 9.24 mm;and when the directional lines were based on the solid point cloud the combined methods of Mimics+ZEISS Quality Suite+UG and Mimics+Design X+UG were not applicable;whereas the Mimics+3DReshaper+UG the solid point cloud denoising planning method could stably obtain the maximum value of the safe channel for nail placement, and the maximum internal joint circle diameters obtained in acetabular samples 1, 2, and 3 are 10.66 mm, 10.96 mm, and 9.48 mm, respectively. It is recommended that the nail placement channel planners use robust Mimics+Imageware+UG or Mimics+3DReshaper+UG centre point set planning method, and if there is enough time, it is recommended to use the solid point cloud denoising planning method of Mimics+3DReshaper+UG in order to obtain the maximum value of safe channels for nail placement.

Strategy for Improving the Vitality of College Youth League Branch from the Perspective of Self-media

With the vigorous development of Internet information technology, various forms of self-media have emerged as one of the main channels for information acquisition and dissemination. While this provides opportunities for the work of college Communist Youth League branches, it also brings significant challenges. They need to adjust their work mode in accordance with the characteristics of self-media in order to continuously enhance their vitality. However, at present, there are still many problems in the work of college Communist Youth League branches, which significantly deviate from the requirements of the self-media era. This results in a low vitality of the branches and an inability to fully play their role. Therefore, further optimization and improvement are necessary. Based on this, this article briefly introduces the concept and characteristics of self-media, analyzes in detail the opportunities and challenges brought by self-media to college Communist Youth League branches, explores the prerequisites for enhancing the vitality of college Communist Youth League branches with the help of self-media, and finally proposes several suggestions for enhancing the vitality of college Communist Youth League branches from the perspective of self-media. It is hoped that these suggestions can promote the improvement of organizational and operational capabilities of college Communist Youth League branches and provide a reference for fulfilling their political mission and educational value.

Investigation of a hyperspectral Scanning Laser Optical Tomography setup for label-free cell identification

The development of non-destructive, tomographic imaging systems is a current topic of research in biomedical technologies. One of these technologies is Scanning Laser Optical Tomography (SLOT), which features a highly modular setup with various contrast mechanisms. Extending this technology with new acquisition mechanisms allows us to investigate untreated and non-stained biological samples, leaving their natural biological physiology intact. To enhance the development of SLOT, we aimed to extend the density of information with a significant increase of acquisition channels. This should allow us to investigate samples with unknown emission spectra and even allow for label-fee cell identification. We developed and integrated a hyperspectral module into an existing SLOT system. The adaptations allow for the acquisition of three-dimensional datasets containing a highly increased information density. For validation, artificial test objects were made from fluorescent acrylic and acquired with the new hyperspectral setup. In addition, measurements were made on two different human cell spheroids with an unknown spectra, to test the possibilities of label-free cell identification. The validation measurements of the artificial test target show the expected results. Furthermore, the measurements of the biological cell spheroids show small variations in their tomographic spectrum that allow for label-free cell type differentiation. The results of the biological sample demonstrate the potential of label-free cell identification of the newly developed setup.

Exploring the Impact of Device Sourcing on Real-World Adherence and Cost Implications of Continuous Glucose Monitoring in Patients With Diabetes: Retrospective Claims Analysis.

Insurance benefit design influences whether individuals with diabetes who require a continuous glucose monitor (CGM) to provide real-time feedback on their blood glucose levels can obtain the CGM device from either a pharmacy or a durable medical equipment supplier. The impact of the acquisition channel on device adherence and health care costs has not been systematically evaluated. This study aims to compare the adherence rates for patients new to CGM therapy and the costs of care for individuals who obtained CGM devices from a pharmacy versus acquisition through a durable medical equipment supplier using retrospective claims analysis. Using the Mariner commercial claims database, individuals aged >18 years with documented diabetes and an initial CGM claim during the first quarter of 2021 (2021 Q1, index date) were identified. Patients had to maintain uninterrupted enrollment for a duration of 15 months but file no CGM claim during the 6 months preceding the index date. We used direct matching to establish comparable pharmacy and durable medical equipment cohorts. Outcomes included quarterly adherence, reinitiation, and costs for the period from 2021 Q1 to the third quarter of 2022 (2022 Q3). Between-cohort differences in adherence rates and reinitiation rates were analyzed using z tests, and cost differences were analyzed using 2-tailed t tests. Direct matching was used to establish comparable pharmacy and durable medical equipment cohorts. A total of 2356 patients were identified, with 1178 in the pharmacy cohort and 1178 in the durable medical equipment cohorts. Although adherence declined over time in both cohorts, the durable medical equipment cohort exhibited significantly superior adherence compared to the pharmacy cohort at 6 months (pharmacy n=615, 52% and durable medical equipment n=761, 65%; P<.001), 9 months (pharmacy n=579, 49% and durable medical equipment cohorts n=714, 61%; P<.001), and 12 months (pharmacy 48% and durable medical equipment n=714, 59%; P<.001). Mean annual total medical costs for adherent patients in the pharmacy cohort were 53% higher than the durable medical equipment cohort (pharmacy US $10,635 and durable medical equipment US $6967; P<.001). In nonadherent patients, the durable medical equipment cohort exhibited a significantly higher rate of therapy reinitiation during the period compared to the pharmacy cohort (pharmacy 61/613, 10% and durable medical equipment 108/485, 22%; P<.001). The results from this real-world claims analysis demonstrate that, in a matched set, individuals who received their CGM through a durable medical equipment supplier were more adherent to their device. For individuals who experienced a lapse in therapy, those whose supplies were provided through the durable medical equipment channel were more likely to resume use after an interruption than those who received their supplies from a pharmacy. In the matched cohort analysis, those who received their CGM equipment through a durable medical equipment supplier demonstrated a lower total cost of care.

Off-farm work, adoption of resource-conservation technology, and farm performance: evidence from banana farmers in China

ABSTRACT Resource-conservation technology (RCT) can optimize the use of natural resources, reduce waste, and promote sustainability in agricultural development. However, the dissemination of RCT among small-scale farmers still remains at a low level in developing countries. This paper examines the impact of off-farm work on farmers’ adoption of RCT using the endogenous switching probit (ESP) model, detects mediating factors between them, and further explores the farm performance of RCT using the endogenous switching regression model (ESR) based on the primary data of 524 banana farmers in rural China. The results show that off-farm work has a positive impact on farmers’ adoption of RCT. Farmers with off-farm work are more likely to adopt RCT compared with those without off-farm work due to off-farm work could increase farmers’ positive cognition on the new agriculture technology. Specifically, off-farm work expands farmers’ information acquisition channels and improves farmers’ agriculture technology acknowledge and thereby promote farmers’ adoption of RCT. Moreover, the adopters of RCT have a higher agricultural yield than the non-adopters. Our findings emphasize a positive farm performance of RCT in small-scale farms in developing regions.

Turbine bearing fault diagnosis based on embedded system

Abstract Failure of the main components of the transmission mechanism of large machinery and equipment usually uses sensors to collect real-time vibration or audio information, followed by data processing on the computer to analyze whether the equipment is operating normally. In this paper, a multi-core embedded fault diagnosis platform based on ARM and DSP is designed. It is small in size. It can independently set the signal types, ranges, and filter parameters of multiple acquisition channels, and synchronously set high-precision acquisition and storage of voltage signals output from various sensors. The DSP adopts the fast Fourier algorithm to analyze the multi-channel sampling data in real time and extracts the fault characteristics through the analysis of envelope demodulation. The operation results show that the system can meet the routine online fault diagnosis of mechanical equipment transmission mechanism, and the fault analysis and diagnosis can reach 95% accuracy within one minute, with high real-time accuracy.

Digital enabled innovation ecosystems: a dual case study of knowledge flows in intellectual property platforms

PurposeThe embedding of digital technology and the fuzzy organizational boundary have changed the operation of platform innovation ecosystem (PIE). Specifically, as an important energy of PIE, the internal logic of knowledge flow needs to be reconsidered in the context of digital age, which will be helpful to select the cultivation and governance strategy of PIE.Design/methodology/approachA dual case-analysis is applied to open the “black box” of knowledge flow in the PIE from the perspective of enabled by digital technology, by taking the intellectual property (IP) operation platform as cases.FindingsThe research findings are as follow: (1) The knowledge flow mechanism of PIE is mainly demonstrated through the processes of knowledge acquisition, knowledge integration and knowledge spillover. During this process, connectivity empowerment and scenario empowerment realize the digital empowerment of the platform. (2) Connectivity empowerment provides a channel of knowledge acquisition for the digital connection between participants in PIE. In the process of knowledge integration, scenario empowerment improves the opportunities for accurate matching and collaborative innovation between knowledge supplier and demander, and enhance the value of knowledge. The dual effect of connectivity empowerment and scenario empowerment has accelerated the knowledge spillover in PIE. Particularly, connectivity empowerment expands the range of knowledge spillover, and scenario empowerment affects the generativity of the platform, resulting in the enhancement of platform’s capability to embed and expand its value network. (3) Participants have been benefitted from the PIE enabled by digital technology through three key modules (knowledge acquisition, knowledge integration and knowledge spillover), as the result of knowledge flow.Originality/valueThis study focuses on the knowledge flow mechanism of PIE enabled by digital technology, which enriches the PIE theory, and has enlightenments for the cultivation of digital platform ecosystem.

State of the Art: Authenticity and Influencer Marketing

Digital marketing is a new form of marketing that uses several digital media to spread a message. Influencer marketing is a promising acquisition channel for companies to explore. Engaging with influencers can help a company improve its brand image and stand out in an increasingly competitive marketplace. However, these opinion leaders can influence the purchasing behavior of the target audience. These are individuals with skills in a particular field, using them to create quality content, they are recognized as experts in their field. The content they publish is often in the form of a personalized story incorporating their opinion on a situation, a product or a service. Success lies in establishing a genuine, preferably long-term, relationship between the brand and its influencers. The objective is to rigorously analyze the links and elements that give meaning to this “Influencer marketing authenticity” interaction. As part of this research, we presented a detailed literature review of authenticity and influence marketing.

Technological Innovation Investment Channels of Industry–University–Research Alliance Enterprises and Non-Alliance Enterprises Based on Evolutionary Game

According to their resource ownership and resource acquisition channels, this paper constructs an evolutionary game model of enterprises’ technological innovation investment channels considering managers’ expectations. This results in the strategy of non-alliance firms along the first channel having a significant impact on the evolutionary equilibrium. For non-alliance enterprises, the difference in the amount of investment in the R&amp;D stage has the same impact on the probability of such enterprises following the first channel. The number of active managers, group capacity, the difference in managers’ expectations, and the difference in the amount of technological innovation investment in the R&amp;D stage have significant differences in the possibility of choosing the first channel between the two types of enterprises. The research conclusions can provide valuable references for enterprises to make technological innovation decisions.

Research on a Multi-Channel High-Speed Interferometric Signal Acquisition System

In order to capture the large-scale interferometric signal generated by the space-borne interferometric infrared Fourier spectrometer (IRIFS) in real time, and overcome the limitations of insufficient sampling rate, transmission rate, and significant signal noise in current equipment, a multi-channel high-speed acquisition system for large-scale interferometric signals is designed. A high-performance analog-to-digital converter (ADC) oversampling scheme is designed, which can realize up to 8 synchronous acquisition channels and has a maximum sampling rate of 125 Msps/Ch to ensure the acquisition of interferometric signals. The scheme of jesd204b inter-board transmission and optical fiber terminal transmission is designed. The inter-board transmission rate is 12.5 Gbps, and the terminal transmission rate is 10 GB/s to ensure high-speed data transmission. A hardware filter is designed to realize spatial noise processing of interference signals and ensure the accuracy of acquisition results. The dynamic performance of the data acquisition (DAQ) card is analyzed using discrete Fourier transform in the frequency domain. The spurious free dynamic range (SFDR) is 84 dB, the signal-to-noise ratio (SNR) is 72.7 dB, and the cross-talk is −81.6 dB, which verifies the dynamic stability of the DAQ card. Finally, the infrared radiation in real space is measured. The average ΔNESR of long wave reaches 48 mW∗m−2∗sr−1, and the average ΔNESR of medium wave reaches 12.3 mW∗m−2∗sr−1, which verifies the reliability of the system performance. The system is of great significance for large-scale infrared interferometric signal acquisition, and has strong practical application value in multi-channel synchronization, real-time high-speed acquisition, and high-speed data transmission.

Application of Social Sensors in Natural Disasters Emergency Management: A Review

Natural disasters are public emergencies characterized by suddenness, universality, and nonconventionality. Realizing the early warning, monitoring, and intervention of natural disasters and their derivative social impacts is significant for reducing the disasters’ damage and benefits the maintenance of social stability. Social sensors are ubiquitous sensors based on social network platforms. It uses the concepts and methods of physical space to mine social signals that integrate human perception and intelligence in cyberspace. Compared with traditional physical sensors, social sensors represent a crucial data acquisition channel in the emergency management of natural disasters and have the advantages of real time, comprehensive coverage, low cost, and flexible deployment. This article reviews the application of social sensors in natural disasters emergency management. We summarize the application functions of social sensors into three categories: natural disaster situation awareness and event detection, disaster information dissemination and communication, and disaster sentiment analysis and public opinion mining. Based on the above functions, this article analyzes the research status, data, technical methods, and application systems. Finally, this article proposes a research trend of applying social sensors in natural disaster emergency management according to the requirements of real scenarios.

How channels of knowledge acquisition affect farmers’ adoption of green agricultural technologies: evidence from Hubei province, China

ABSTRACTFarmers’ adoption of green agricultural technologies (GATs) could reduce the negative environmental impacts of traditional agriculture in China. Despite the benefits of GATs, their adoption rate has not been high. While previous studies have examined the information and communication technologies that influence the adoption of GATs, most have selected only one of the GATs and have not distinguished between public and private channels of knowledge acquisition. In this paper, based on a sample of 732 rural households from Hubei Province, we used a negative binomial model to examine the role of knowledge acquisition channels on GATs adoption. Overall, we found that radio and the government (through its face-to-face channels) are positively associated with farmers’ adoption of GATs; however, farmers adopted more GATs when they had acquired knowledge from the government than from radio. A possible explanation and a policy implication is that direct communication with farmers and practical demonstration of the benefits of GATs are preferred to passive reception of information.

Social Media and Its Impact on College Students Identity

Social media has brought about the diffusion and communication of various ideological trend by strengthening the interaction between people. The diversity and complexity of interaction undoubtedly aggravate the identity crisis. For contemporary college students in China, the recognition of the identity of college student will have an important impact on their future development into the society. This research explores the impact of social media use (frequency of use, information acquisition mode, motivation for use, information acquisition channel) on the identity (its cognitive, evaluation, and emotional dimensions) of Chinese college students by using a questionnaire survey. The findings demonstrate Chinese college students have a high degree of identification with college students, and the use of social media plays a significant part in shaping their identity. In addition, access to information is the primary motivation for using social media. Positive information acquisition mode affects their identity positively, while how often college students used social media had no such effect, and the motivation of obtaining information and the domestic official media can promote college students identity. Therefore, the domestic official media should make full use of its high reliability and high authority, meet the demand of college students in terms of communication content as well as improve the quality of content.