Low Data Throughput Research Articles

Revised descriptors for polycyclic aromatic and related hydrocarbons for the prediction of environmental properties using the solvation parameter model

Revised descriptors for twenty-five polycyclic aromatic and related hydrocarbons (PAHs) forming a component of the Wayne State University (WSU) descriptor database are provided for use with the solvation parameter model. The descriptors are determined by the Solver method using experimental data for calibrated gas-liquid and reversed-phase liquid chromatographic retention factors and liquid-liquid partition constants in totally organic biphasic systems. The characteristic solvation properties of the PAHs are accounted for mainly by the additional dispersion interactions (E descriptor) and dipole-type interactions (S descriptor) resulting from the availability of easily polarizable electrons that complement typical dispersion interactions for saturated hydrocarbons. The descriptors afford acceptable prediction of the water-air partition constant (average absolute deviation AAD = 0.17, n = 22), octanol-air partition constant (AAD = 0.12, n = 20), and water-octanol partition constant (AAD = 0.10, n = 23). A two-parameter model containing only the V and B descriptors provides an unbiased prediction of aqueous solubility for the PAHs with an AAD = 0.26 (n = 22). The descriptors estimated by convenient chromatographic and partition constant measurements are demonstrated to be a viable alternative to the experimental determination of environmental properties otherwise only available by tedious, expensive, and low data throughput experimental techniques.

Optimized Downlink Scheduling over LTE Network Based on Artificial Neural Network

Long-Term Evolution (LTE) technology is utilized efficiently for wireless broadband communication for mobile devices. It provides flexible bandwidth and frequency with high speed and peak data rates. Optimizing resource allocation is vital for improving the performance of the Long-Term Evolution (LTE) system and meeting the user’s quality of service (QoS) needs. The resource distribution in video streaming affects the LTE network performance, reducing network fairness and causing increased delay and lower data throughput. This study proposes a novel approach utilizing an artificial neural network (ANN) based on normalized radial basis function NN (RBFNN) and generalized regression NN (GRNN) techniques. The 3rd Generation Partnership Project (3GPP) is proposed to derive accurate and reliable data output using the LTE downlink scheduling algorithms. The performance of the proposed methods is compared based on their packet loss rate, throughput, delay, spectrum efficiency, and fairness factors. The results of the proposed algorithm significantly improve the efficiency of real-time streaming compared to the LTE-DL algorithms. These improvements are also shown in the form of lower computational complexity.

Benefits of software beamforming for ultrasonic inspections

Nondestructive testing (NDT) is used in more and more industries and inspection techniques must constantly adapt to complex materials (coarse grained materials, composites, etc.), defects (corrosion, fatigue crack, HTHA, etc.) or new inspection standards. Ultrasonic imaging methods have long been limited by low data throughput and a small number of transducers, but this is no longer the case with nowadays electronic devices and computers which enable large amounts of raw data to be acquired and processed in real time. The Delay-and-Sum (DAS) algorithm, which has been used almost automatically in many applications over the past few years, is now outperformed by advanced processing methods. In this context, this article presents few real-time advanced reconstruction techniques that enhance the quality of ultrasonic images on typical industrial applications. The first example concerns coherence beamformers such as Phase Coherence Imaging (PCI) which exploit the phase information of the signals. This type of method proves to be highly effective in detecting diffraction echoes from crack-like defects or in improving contrast and resolution of images from corroded samples inspections. The second example uses cross-correlation techniques that have been known for years to improve detection in various fields. Correlating the data with the transmitted signal reduces electronic noise and improves signal-to-noise ratio. This application also benefits from recent progress of ultrasonic devices that are able to modulate complex excitation signals in emission. This type of method is very promising for the inspection of attenuative materials and coarse-grained steels.

Research on a Driving Assistance System for Lane Changes on Foggy Highways

Currently, there is limited research in the field of micro-scale foggy weather highway lane-change driving assistance systems. This study focuses on the development of a lane-change driving assistance system for vehicles on foggy highways. The system is designed to address the need for lane changes in various scenarios, such as lane number variations, vehicle malfunctions, and vehicle departure from the highway, which are commonly encountered during foggy weather conditions on highways. According to the development trend of the high-precision BeiDou positioning system and electronic map, a lane positioning technology based on vertical iterative methods for lane changes of vehicles driving on foggy highways that relies on V2V technology to study the safe distance of lane changing, in addition to lane-changing warning rules, is proposed; the network performance of the system was tested through a physical design. The experimental results show that the network performance of the system is stable when driving on a foggy highway, with low latency (below 30 ms) and high data throughput (above 550 kb/s at a 300 m communication distance) ensuring fast and effective sending and receiving of information on vehicle driving status. This study can improve the capacity of vehicles on foggy highways and achieve the purpose of “less speed reduction, less road closure”.

Terahertz fiber link using dielectric silicon waveguide interface.

Nascent data-intensive emerging technologies are mandating low-loss, short-range interconnects, whereas existing interconnects suffer from high losses and low aggregate data throughput owing to a lack of efficient interfaces. Here, we report an efficient 22-Gbit/s terahertz fiber link using a tapered silicon interface that serves as a coupler between the dielectric waveguide and hollow core fiber. We investigated the fundamental optical properties of hollow-core fibers by considering fibers with 0.7-mm and 1-mm core diameters. We achieved a coupling efficiency of ∼ 60% with a 3-dB bandwidth of 150 GHz in the 0.3-THz band over a 10 cm fiber.

Online Music Teaching Resource Sharing Algorithm Based on Blockchain Technology

Blockchain technology provides technical support for cloud computing data sharing in data storage and data access, and ensures the safe and effective transmission of data sharing. The online music teaching resource platform based on blockchain technology faces the problems of low data throughput, large delay and unstable performance. Therefore, a blockchain-based sharing algorithm (Practical Byzantine Fault Tolerance, PBFT), PBFT algorithm is proposed. Consensus allows 1/3 of cheating points in the blockchain, and authenticated transactions are confirmed through a confirmation mechanism to ensure data security. However, the traditional PBFT algorithm lacks an efficient node joining and exiting mechanism, and has problems such as low data throughput. Therefore, on the basis of the traditional PBFT algorithm, a blockchain sharing algorithm (WBFT) that improves the weighted Byzantine fault tolerance mechanism is proposed. A weighting mechanism is added in the consensus process. After the consensus, the node behavior will dynamically adjust the weights to reduce the adverse impact of malicious nodes on the data and improve the overall data sharing effect. Experimental performance tests show that the improved WBFT algorithm performs best in multi-algorithm delay performance tests. In the data average throughput test, the performance of the improved WBFT algorithm is 20.2% higher than that of the traditional PBFT algorithm. In the security test, the improved WBFT algorithm has the best performance. The proposed improved WBFT algorithm can well meet the needs of building an online music teaching resource sharing platform. The research content has important reference value for the application of blockchain technology in the education industry, and is conducive to promoting the development of modern education.

A systematic literature review on downlink frames in LoRaWAN

LoRaWAN is one of the technologies in the Low Power Wide Area Network (LPWAN) which has gained considerable attention of the research community over the last few years, especially in the IoT applications. It provides low power and high data throughput across the wide range of coverage areas. LoRaWAN communication is established through transmission of frames either on uplink or downlink. In this study, a systematic review of the leading-edge work of LoRaWAN communication through downlink has been presented. The systematic review process follows the PRISMA Mechanism in which the research analysis has been taken from the time period between 2016 and 2021. In this context, various LoRaWAN architecture models have been compared through their performance metrics like throughput, data rate, packet delivery ratio, delay or latency, etc. and their performance are also evaluated.

Next generation sequencing based in-house HIV genotyping method: validation report

BackgroundHIV genotyping has had a significant impact on the care and treatment of HIV/AIDS. At a clinical level, the test guides physicians on the choice of treatment regimens. At the surveillance level, it informs policy on consolidated treatment guidelines and microbial resistance control strategies. Until recently, the conventional test has utilized the Sanger sequencing (SS) method. Unlike Next Generation Sequencing (NGS), SS is limited by low data throughput and the inability of detecting low abundant drug-resistant variants. NGS can improve sensitivity and quantitatively identify low-abundance variants; in addition, it has the potential to improve efficiency as well as lowering costs when samples are batched. Despite the NGS benefits, its utilization in clinical drug resistance profiling is faced with mixed reactions. These are largely based on a lack of a consensus regarding the quality control strategy. Nonetheless, transitional views suggest validating the method against the gold-standard SS. Therefore, we present a validation report of an NGS-based in-house HIV genotyping method against the SS method in Uganda.ResultsSince there were no established proficiency test panels for NGS-based HIV genotyping, 15 clinical plasma samples for routine care were utilized. The use of clinical samples allowed for accuracy and precision studies. The workflow involved four main steps; viral RNA extraction, targeted amplicon generation, amplicon sequencing and data analysis. Accuracy of 98% with an average percentage error of 3% was reported for the NGS based assay against the SS platform demonstrating similar performance. The coefficient of variation (CV) findings for both the inter-run and inter-personnel precision showed no variability (CV ≤ 0%) at the relative abundance of ≥ 20%. For both inter-run and inter-personnel, a variation that affected the precision was observed at 1% frequency. Overall, for all the frequencies, CV registered a small range of (0–2%).ConclusionThe NGS-based in-house HIV genotyping method fulfilled the minimum requirements that support its utilization for drug resistance profiling in a clinical setting of a low-income country. For more inclusive quality control studies, well-characterized wet panels need to be established.

Tracking cell migration by cellular force footprint recorded with a mechano-optical biosensor

Conventional cell migration assays require time-lapse imaging of live cells to trace cell migration paths, consequently demanding cumbersome hardware setup and suffering from low data throughput. In this work, we developed an assay named Tracking Cells by Footprint (TCF) based on a mechano-optical biosensor that irreversibly becomes fluorescent when sensing local cell adhesive force. Cell migration paths are visualized and recorded as fluorescent footprints on glass or elastic substrates coated with such biosensor. From the footprints, cell migration ranges, speeds and persistence are analyzed and quantified without the need of time-lapse imaging. The feasibility of TCF assays was demonstrated with three types of cells with different migratory capabilities. TCF was then applied to evaluating cell motility affected by biochemical or biomechanical cues. The results show that fibroblast motility is reduced by blebbistatin and vinblastine but promoted by bFGF (basic fibroblast growth factor), and the motility correlates with the substrate rigidity. TCF is also compatible with 96-well plates which, combined with static imaging and large-area scanning, provides high data throughput with minimal additional effort.

Developing a Microfabricated Lab-On-A-Chip Device for Patch-Clamp Applications with Internal Solution Exchange

Patch-clamp electrophysiology is a widely utilized technique in both academic and industrial laboratories to assess the function of ion channels. Despite its importance, conventional patch-clamp experiments remain inherently difficult to perform, laborious, and suffer from low data throughput. Automated patch-clamp systems have since been developed to address these issues, but have done so to the detriment of the versatility and affordability of the technique. Here, we have developed a new chip-based patch-clamp system, dubbed the SMPL system, that has been specifically microfabricated to deliver high quality patch-clamp recordings while improving upon the versatility of other chip-based patch-clamp systems. The SMPL chip is compatible with any adherent cell type, and can be used to culture and assess the electrophysiological properties of induced pluripotent stem cell (iPSC)-derived and primary cultures in addition to more conventional, stable-expression cell lines. The chip contains four independent microfluidic channels, each linked to a micropatterned patch-site, that enables for up to four sequential recordings to be taken. These microchannels also serve to allow intracellular solution to be exchanged during the course of an experiment. Since the chip has been fabricated entirely of optically transparent materials, imaging experiments can also be performed in parallel to electrophysiological assessments. The SPML chip connects to any existing patch-clamp amplifier using an affordable universal adapter and switchbox, allowing the user to decide which of the four sites is to be accessed. We are currently evaluating the capabilities of this technology applied to recording lipid bilayers and ion channels reconstituted in lipid vesicles.

A low-power reference-less clock/data recovery for visible light communication devices requiring low data throughput

In this study a reference-less clock and data recovery (CDR) is designed and developed for the low speed visible light communication system based Internet of Things (IoT) tags. Design system incorporates an off-chip photodiode and an integrated-on chip front-end receiver with the reference-less CDR. For an IoT tags low power consumption, low supply voltage, and small area are the major design constraint. Considering these constraints, the circuit of the front-end receiver incorporate the near-threshold cascode current mirror based transimpedance amplifier, low pass filter and a comparator. On the other-hand, low power all-digital phase locked loop-based reference-less CDR is design herein with a modified loop filter, auto tune digital control oscillator and auto duty cycle adjustment circuit. The circuit is implemented in an integrated chip with area of 0.728 mm2 via TSMC 180 nm process. Experimental measurement results of the tapeout chip shows that the phase noises are − 39.54 dBc/Hz @ 1 kHz, − 80.35 dBc/Hz @ 10 kHz and − 92.26 dBc/Hz @ 100 kHz. The measured jitter in the recovered clock is 3.312 ns (0.0033 UI). At 1 Mbps, the measured total power consumption is 5.58 μW. The achieve results shows that the implemented circuit in this study highly support the commercial low data rate based optical wireless sensing nodes for IoT tags.

A MiSeq-HyDRA platform for enhanced HIV drug resistance genotyping and surveillance

Conventional HIV drug resistance (HIVDR) genotyping utilizes Sanger sequencing (SS) methods, which are limited by low data throughput and the inability of detecting low abundant drug resistant variants (LADRVs). Here we present a next generation sequencing (NGS)-based HIVDR typing platform that leverages the advantages of Illumina MiSeq and HyDRA Web. The platform consists of a fully validated sample processing protocol and HyDRA web, an open web portal that allows automated customizable NGS-based HIVDR data processing. This platform was characterized and validated using a panel of HIV-spiked plasma representing all major HIV-1 subtypes, pedigreed plasmids, HIVDR proficiency specimens and clinical specimens. All examined major HIV-1 subtypes were consistently amplified at viral loads of ≥1,000 copies/ml. The gross error rate of this platform was determined at 0.21%, and minor variations were reliably detected down to 0.50% in plasmid mixtures. All HIVDR mutations identifiable by SS were detected by the MiSeq-HyDRA protocol, while LADRVs at frequencies of 1~15% were detected by MiSeq-HyDRA only. As compared to SS approaches, the MiSeq-HyDRA platform has several notable advantages including reduced cost and labour, and increased sensitivity for LADRVs, making it suitable for routine HIVDR monitoring for both patient care and surveillance purposes.

Reinforcement Learning Based MAC Protocol (UW-ALOHA-Q) for Underwater Acoustic Sensor Networks

The demand for regular monitoring of the marine environment and ocean exploration is rapidly increasing, yet the limited bandwidth and slow propagation speed of acoustic signals leads to low data throughput for underwater networks used for such purposes. This study describes a novel approach to medium access control that engenders efficient use of an acoustic channel. ALOHA-Q is a medium access protocol designed for terrestrial radio sensor networks and reinforcement learning is incorporated into the protocol to provide efficient channel access. In principle, it potentially offers opportunities for underwater network design, due to its adaptive capability and its responsiveness to environmental changes. However, preliminary work has shown that the achievable channel utilisation is much lower in underwater environments compared with the terrestrial environment. Three improvements are proposed in this paper to address key limitations and establish a new protocol (UW-ALOHA-Q). The new protocol includes asynchronous operation to eliminate the challenges associated with time synchronisation under water, offer an increase in channel utilisation through a reduction in the number of slots per frame, and achieve collision free scheduling by incorporating a new random back-off scheme. Simulations demonstrate that UW-ALOHA-Q provides considerable benefits in terms of achievable channel utilisation, particularly when used in large scale distributed networks.

Towards an innovative electrical interface standard for PocketQubes and CubeSats

Developers experience issues with the compatibility, connector size and robustness of electrical interface standards for CubeSats and PocketQubes. There is a need for a lean and robust electrical interface standard for these classes of satellites. The proposed interface standard comprises a linear data bus which is used for housekeeping data, internal commands and small-to-moderate payload data. A community based analytic hierarchy process is used for the trade-off of design options, resulting in the selection of RS-485 as standard data bus, mainly due to its low power consumption and high effective data throughput compared to other candidates. Several switched and protected battery voltage lines are distributed from the central electrical power subsystem unit to the other subsystems to enable a simple and efficient power distribution. The harness comprises a 14 and 9 pin stackable connector for CubeSats and PocketQubes, respectively, occupying very little board space.

The development of an intermediate-duration tag to characterize the diving behavior of large whales.

The development of high‐resolution archival tag technologies has revolutionized our understanding of diving behavior in marine taxa such as sharks, turtles, and seals during their wide‐ranging movements. However, similar applications for large whales have lagged behind due to the difficulty of keeping tags on the animals for extended periods of time. Here, we present a novel configuration of a transdermally attached biologging device called the Advanced Dive Behavior (ADB) tag. The ADB tag contains sensors that record hydrostatic pressure, three‐axis accelerometers, magnetometers, water temperature, and light level, all sampled at 1 Hz. The ADB tag also collects Fastloc GPS locations and can send dive summary data through Service Argos, while staying attached to a whale for typical periods of 3–7 weeks before releasing for recovery and subsequent data download. ADB tags were deployed on sperm whales (Physeter macrocephalus; N = 46), blue whales (Balaenoptera musculus; N = 8), and fin whales (B. physalus; N = 5) from 2007 to 2015, resulting in attachment durations from 0 to 49.6 days, and recording 31 to 2,539 GPS locations and 27 to 2,918 dives per deployment. Archived dive profiles matched well with published dive shapes of each species from short‐term records. For blue and fin whales, feeding lunges were detected using peaks in accelerometer data and matched corresponding vertical excursions in the depth record. In sperm whales, rapid orientation changes in the accelerometer data, often during the bottom phase of dives, were likely related to prey pursuit, representing a relative measure of foraging effort. Sperm whales were documented repeatedly diving to, and likely foraging along, the seafloor. Data from the temperature sensor described the vertical structure of the water column in all three species, extending from the surface to depths >1,600 m. In addition to providing information needed to construct multiweek time budgets, the ADB tag is well suited to studying the effects of anthropogenic sound on whales by allowing for pre‐ and post‐exposure monitoring of the whale's dive behavior. This tag begins to bridge the gap between existing long‐duration but low‐data throughput tags, and short‐duration, high‐resolution data loggers.

Read Bulk Data From Computational RFIDs

Without the need of local energy supply, computational RFID (CRFID) sensors are emerging as important platforms enabling a variety of sensing and computing applications. Nevertheless, the data throughput of CRFIDs is very low. This paper aims at efficiently reading bulk data from CRFIDs using commodity RFID readers. We carry out thorough experiment studies to investigate the root cause of the low data throughput of CRFIDs. The experiment results suggest that the fundamental problem of data transfer stems from the mismatch between the stringent timing requirement of commodity standard and the limited packet handling capability of CRFIDs. We further propose several simple yet effective techniques to allow CRFIDs to meet stringent timing requirement of commodity RFID readers and achieve efficient data transfer. We implement a prototype system based on the WISP CRFIDs and commercial off-the-self RFID readers. We carry out extensive experiments on the prototype systems, which show that the proposed scheme works well with the commodity RFID readers.

Monitoring of paces and gaits using binary PIR Sensors with rehabilitation treadmill.

Recently, rehabilitation treadmills are designed for helping injured persons such as stroke patients and injury athletes in the process of physical therapy. By monitoring the changes of paces and gaits, one can estimate the progress of rehabilitation. At present, most devices that can estimate paces and gaits are wearable and/or expensive. This paper presents an inexpensive, non-intrusive wireless binary sensor system for pace estimation and lower-extreme gait recognition with low data throughput and high energy efficiency. The asymmetric but periodic movement of injured person allows the study of pace and gait. The pace estimation is achieved by using autocorrelation function. The gait information is represented by three features (1) temporal correlation, (2) marginal density (intersection probability), and (3) spatial correlation from binary data steam. Experimental results shows that our system can estimate the pace of walking or running with the accuracy of 97.7%. By using only three features, abnormal gaits can also be recognized.

Narrowband and Wideband Channel Sounding of an Antarctica to Spain Ionospheric Radio Link

La Salle and Ebro Observatory have been involved in remote sensing projects in Antarctica for the last 11 years (approximately one solar cycle). The Ebro Observatory has been monitoring and analyzing the geomagnetic and the ionospheric activity in the Antarctic Spanish station Juan Carlos I (ASJI) (62.7°S, 299.6°E) for more than eighteen and ten years, respectively. La Salle has two main goals in the project. The first one is the data transmission and reception from Antarctica to Spain to obtain a historical series of measurements of channel sounding of this 12,760-km ionospheric HF (high frequency) radio link. The second one is the establishment of a stable data low power communication system between the ASJI and Cambrils, Spain (41.0°N, 1.0°E), to transmit the data from the remote sensors located on the island. In this paper, both narrowband and wideband soundings have been carried out to figure out the channel availability performed using a frequency range from 2 to 30 MHz with 0.5 MHz step during the 24 h of the day, encompassing wider channel measurements than previously done, in terms of hours and frequency. This paper presents the results obtained for the austral summer in 2014, using a monopole antenna at the transmitter and an inverted V on the receiver side. These results led us to the final physical layer design for the long Remote Sens. 2015, 7 11713 haul link, dividing the day into two parts: daytime, with low data throughput design, and nighttime, reaching high data throughput.

UranusLink - Communication Protocol for UAV with Small Overhead and Encryption Ability

This paper describes protocol designed for communication between UAV and base station. It is intended to send control commands towards to the drone and telemetry data towards to the base station. The requirements were usability in radio link with low data throughput, ability to detect and overcome data loss and providing low latency. Regarding to the safety aspect also secure variant of the protocol was designed.

VHF 대양 네트워크를 위한 Ad-hoc 기반 다중접속기법

In oceanic flight routes, HF radio and satellite data links have weather restrictions, long propagation delay and low data throughput. In this paper, we propose oceanic aeronautical communications scheme in the VHF band based on ad-hoc communication. The proposed scheme organizes autonomously a multi-hop network that is divided into multiple local network using aircraft to fly long-distance communication and supports a hybrid type of multiple access, which consists of random access and TDMA (Time Division Multiple Access) scheme. In addition, several algorithms to apply spatial reuse of transmission to multi-hop long range communication environments have been proposed. The proposed system proves performance improvement on delay time as an effective solution to communicate end-to-end on the oceanic flight routes and strengthens the reliability of oceanic aeronautical communication.