Remote Query Research Articles

Monitoring and management of green information in water ecological environment based on sensors and big data

With the continuous development of industrial production, the pollution of water resources is becoming more and more serious, and the damage to aquatic organisms is also increasing. Therefore, strengthening water environment monitoring has become a key measure to prevent and solve this problem. Aiming at the limitation of traditional water environment monitoring methods, a water ecological environment monitoring scheme is proposed. This study uses advanced sensor technology, including water quality sensor, water level sensor, weather sensor, etc., to monitor the indicators of water in real time. Through data acquisition and storage technology, the data obtained by the sensor is integrated and analyzed. At the same time, big data analysis method is used to predict and simulate the change trend of water ecological environment. This scheme designs and develops a sensor network monitoring system, which can collect water temperature data in real time at the monitoring point, transmit the sampled information to the aggregation node through the sensor network, and finally transmit to the information intelligent monitoring equipment through GPRS, so as to realize timely display and early warning. At the same time, combined with the water quality monitoring instrument, it can realize the remote query and processing of monitoring data. The experimental results show that the water ecological environment monitoring and management system based on sensor and big data technology can efficiently and accurately monitor the indicators of water. Through the comprehensive monitoring of the water ecological environment, abnormal situations can be found in time, and corresponding measures can be taken to protect and repair. The results of big data analysis provided by the system can provide scientific basis and guidance for decision makers.

Design of telemedicine information query system based on wireless sensor network

INTRODUCTION: A wireless sensor network-based remote medical information query system is proposed and designed. OBJECTIVE: The proposed method aims at improving the throughput of the hospital information remote query system and reducing the response time METHODS: The system structure is divided into three levels. The presentation layer is responsible for displaying the query operation interface of the function layer. The function layer realizes the query function according to the user instructions. The wireless sensor network is responsible for the transmission of instructions. The data layer starts the query of telemedicine information based on the Top-k query algorithm. In wireless sensor networks, the improved ant colony algorithm is used to optimize it, which improves the information transmission performance of the system. RESULTS: The experimental results show that the designed system can complete the medical information query according to the needs of users, the system throughput and the residual energy of sink nodes are high, and the maximum response time of the system is always less than 0.5s. CONCLUSION: It shows that the designed system has strong practical application performance and high application value.

Epidemiology and direct healthcare costs of Influenza-associated hospitalizations \u2013 nationwide inpatient data (Germany 2010-2019)

IntroductionDetailed and up-to-date data on the epidemiology and healthcare costs of Influenza are fundamental for public health decision-making. We analyzed inpatient data on Influenza-associated hospitalizations (IAH), selected complications and risk factors, and their related direct costs for Germany during ten consecutive years.MethodsWe conducted a retrospective cost-of-illness study on patients with laboratory-confirmed IAH (ICD-10-GM code J09/J10 as primary diagnosis) by ICD-10-GM-based remote data query using the Hospital Statistics database of the German Federal Statistical Office. Clinical data and associated direct costs of hospital treatment are presented stratified by demographic and clinical variables.ResultsBetween January 2010 to December 2019, 156,097 persons were hospitalized due to laboratory-confirmed Influenza (J09/J10 primary diagnosis). The annual cumulative incidence was low in 2010, 2012 and 2014 (1.3 to 3.1 hospitalizations per 100,000 persons) and high in 2013 and 2015-2019 (12.6 to 60.3). Overall direct per patient hospitalization costs were mean (SD) 3521 EUR (± 8896) and median (IQR) 1805 EUR (1502; 2694), with the highest mean costs in 2010 (mean 8965 EUR ± 26,538) and the lowest costs in 2012 (mean 2588 EUR ± 6153). Mean costs were highest in 60-69 year olds, and in 50-59, 70-79 and 40-49 year olds; they were lowest in 10-19 year olds. Increased costs were associated with conditions such as diabetes (frequency 15.0%; 3.45-fold increase compared to those without diabetes), adiposity (3.3%; 2.09-fold increase) or immune disorders (5.6%; 1.88-fold increase) and with Influenza-associated complications such as Influenza pneumonia (24.3%; 1.95-fold), bacterial pneumonia (6.3%; 3.86-fold), ARDS (1.2%; 10.90-fold increase) or sepsis (2.3%; 8.30-fold). Estimated overall costs reported for the 10-year period were 549.6 Million euros (95% CI 542.7-556.4 million euros).ConclusionWe found that the economic burden of IAH in Germany is substantial, even when considering solely laboratory-confirmed IAH reported as primary diagnosis. The highest costs were found in the elderly, patients with certain underlying risk factors and patients who required advanced life support treatment, and median and mean costs showed considerable variations between single years. Furthermore, there was a relevant burden of disease in middle-aged adults, who are not covered by the current vaccination recommendations in Germany.

Fault-tolerant precise data access on distributed log-structured merge-tree

Log-structured merge tree has been adopted by many distributed storage systems. It decomposes a large database into multiple parts: an in-writing part and several read-only ones. Records are firstly written into a memory-optimized structure and then compacted into in-disk structures periodically. It achieves high write throughput. However, it brings side effect that read requests have to go through multiple structures to find the required record. In a distributed database system, different parts of the LSM-tree are stored in distributed fashion. To this end, a server in the query layer has to issues multiple network communications to pull data items from the underlying storage layer. Coming to its rescue, this work proposes a precise data access strategy which includes: an efficient structure with low maintaining overhead designed to test whether a record exists in the in-writing part of the LSM-tree; a lease-based synchronization strategy proposed to maintain consistent copies of the structure on remote query servers.We further prove the technique is capable of working robustly when the LSM-Tree is re-organizing multiple structures in the backend. It is also fault-tolerant, which is able to recover the structures used in data access after node failures happen. Experiments using the YCSB benchmark show that the solution has 6x throughput improvement over existing methods.

A “turn-off” SERS aptasensor based DNAzyme-gold nanorod for ultrasensitive lead ion detection

It is great significance to precisely monitor lead (II) ions (Pb2+) for environment protection and human health monitoring. We designed a sensitive detection strategy for sensitive and selective determination of Pb2+, based on a Pb2+-specific DNAzyme as the catalytic unit, Cy3-labeled DNA modified gold nanorods (AuNRs) as SERS reporter. Firstly, AuNRs surface were employed as a platform for the immobilization of thiolated probe DNA, and then hybridized with DNAzyme catalytic beacons. By taking advantage of DNAzyme digest, a molecular beacon, causes a “turn-off” SERS signal by disrupting the labeled probes. Under the optical conditions, the DNAzyme-AuNRs sensor system exhibited high sensitivity, acceptable stability and reproducibility with a wide linear range from 0.5 to 100 nM (R2 = 0.9973), and an ultra-low detection limit of 0.01 nM. The proposed strategy has additional advantages of being less time-consuming, low-cost and remote query, and avoids the interference of some metals such as Fe3+, Cd2+, Ba2+, Cu2+, Zn2+. The SERS biosensor system has been successfully applied for detecting Pb2+ in real samples with a satisfactory result. The result indicated that the proposed sensing strategy not only enriches SERS platform of monitoring Pb2+ but also exhibits potential for the point-of-care diagnostic application of the clinical screening in complicated biological samples.

Streptavidin and gold nanoparticles-based dual signal amplification for sensitive magnetoelastic sensing of mercury using a specific aptamer probe

A novel wireless magnetoelastic sensor (WMS) strategy for Hg2+ assay was proposed using a specific aptamer probe and graphene oxide (GO) as an adsorbent. The introduction of Hg2+ results in the release of CDNA-biotin. This one can be adsorbed to the surface of GO that was immobilized on the WMS along with a decrease of the resonance frequency of the sensor. A biotin-streptavidin (SA)-gold nanoparticles (AuNPs) system designed in this work was used for amplifying response signal of the sensor. The signal intensity linearly correlated with Hg2+ concentration ranging from 2.80 to 88.9nM with a detection limit of 0.885nM. This WMS has additional advantages of being less time-consuming, low cost and remote query, and can be employed for the real-time and in situ detection of Hg2+ in real samples. The mechanism for structure switching and signal amplification was also studied by transmission electron microscopy and UV–vis spectra.

Querying Medical Datasets While Preserving Privacy

This paper addresses the challenge of identifying clinically-relevant patterns in medical datasets without endangering patient privacy. To this end, we treat medical datasets as black box for both internal and external users of the data enabling a remote query mechanism to construct and execute database queries. The novelty of the approach lies in avoiding the complex data de-identification process which is often used to preserve patient privacy. The implemented toolkit combines software engineering technologies such as Java EE and RESTful web services, to allow exchanging medical data in an unidentifiable XML format along with restricting users to the need-to-know privacy principle. Consequently, the technique inhibits retrospective processing of data, such as attacks by an adversary on a medical dataset using advanced computational methods to reveal Protected Health Information (PHI). The approach is validated on an endoscopic reporting application based on openEHR and MST standards. The proposed approach is largely motivated by the issues related to querying datasets by clinical researchers, governmental or non-governmental organizations in monitoring health care services to improve quality of care.

Smart Home Control System Based on Internet of Things

A set of smart home control system based on Internet of Things is proposed due to the rapid development of smart home. This paper designs a system platform which people can use to make a remote query and control the home applications. Constrained Application Protocol is utilized in the communication between terminal devices which have limited memory and low calculation efficiency. The system has the characteristics of smart sensor, reliable transmission and intelligent processing. With the devices connected to the Internet, the results show that the system runs steadily so that it can provide the basis for further research of smart home.

A wireless and sensitive detection of octachlorostyrene using modified AuNPs as signal-amplifying tags

A wireless, remote query octachlorostyrene (OCS) biosensor was fabricated by coating a mass-sensitive magnetoelastic ribbon with anti-OCS antibody. In response to a time-varying magnetic field, the magnetoelastic sensor mechanically vibrates at a characteristic resonance frequency which inversely depends on the sensor mass loading. As the magnetoelastic film is magnetostrictive itself, the vibrations launch magnetic flux that can be remotely detected using a pickup coil. Au nanoparticles (NPs) were used to amplify the mass loading. In a sample solution containing OCS target and OCS-modified AuNPs (OCS–AuNPs), both OCS and OCS–AuNPs react with the anti-OCS antibody immobilized on the sensor surface in a competition mode. The bound OCS–AuNPs amount is inversely proportional to the OCS target concentration. The reduction of bound OCS–AuNPs induced by free OCS results in significant change in mass loading, which amplifies the responses. The biosensor demonstrates a linear shift in resonance frequency with OCS concentration between 7.4μM and 9nM, with a detection limit of 2.8nM.

Design and Implementation of Gas Detector Position Computer System Based on ARM

Relying on the author-designed new gas detector the system completes the ARM - based processor hardware platform software design, the using of smart home products design concept and the Internet of Things technology. The system had unattended receiving data, network remote query, data warning functions and with good prospects.

A wireless magnetoelastic sensor for uranyl using DNAzyme–graphene oxide and gold nanoparticles-based amplification

A wireless magnetoelastic sensor (WMS) for uranyl detection has been developed using DNAzyme–graphene oxide (GO) and gold nanoparticles (AuNPs)-based amplification. The WMS is fabricated by immobilizing a layer of GO film on a magnetoelastic ribbon-like sensor. When the substrate strand of DNAzyme was cleaved in the presence of UO22+, the single-stranded DNA (ssDNA) was adsorbed onto the GO film of the WMS, resulting in a decrease of resonance frequency of the WMS. HAuCl4 can be reduced by ascorbic acid (AA) to atom Au coated on AuNPs in cetyltrimethyl ammonium bromide (CTMAB) solution, leading to the signal amplification of the system. When the molar ratio of AA and HAuCl4 was 3:2, the response signals linearly correlated with the concentration of UO22+ over the range of 9.57×10−9 to 1.20×10−7M in the MES buffer solution of pH 5.0 with a detection limit of 2.87×10−9M. The proposed WMS has additional advantages of being less time-consuming, low cost and remote query, and avoids the interference of some metals such as Cu2+, Fe2+, Fe3+, Hg2+, and Tb3+. It has been successfully applied for detecting UO22+ in real samples with a satisfactory result. A polyacrylamide gel electrophoresis (PAGE) assay, scanning electron microscopy (SEM) and UV–vis spectra were used to confirm the mechanism for structure switching and signal amplification.

Secure Encapsulation and Publication of Biological Services in the Cloud Computing Environment

Secure encapsulation and publication for bioinformatics software products based on web service are presented, and the basic function of biological information is realized in the cloud computing environment. In the encapsulation phase, the workflow and function of bioinformatics software are conducted, the encapsulation interfaces are designed, and the runtime interaction between users and computers is simulated. In the publication phase, the execution and management mechanisms and principles of the GRAM components are analyzed. The functions such as remote user job submission and job status query are implemented by using the GRAM components. The services of bioinformatics software are published to remote users. Finally the basic prototype system of the biological cloud is achieved.

Research on Information Management of Tunnel Safe Construction

To ensure the personnel safety in tunnel construction, we researched the vault sink automatic measurement technology, surrounding rock displacement automatic measurement technology, the video surveillance technology and the wireless position management technology of the personnel into the tunnel. The techniques and keys are discussed. The measurement data of these techniques combined to a unified software platform. Combined with the wireless communication network to realize the mobile phone short message alarm, using the computer internet to realize the remote query and control, we achieve the automation, informatization, network and intelligent management to ensure the safety of the tunnel construction

Foreword of Special Issue on “Nomadic Services and Applications”

Foreword of Special Issue on “Nomadic Services and Applications”

A Wireless Magnetoelastic Sensor for Urinary 2-Naphthol Detection Based on the Precipitation of 2-Naphthol with Diazonium Salts

A wireless magnetoelastic sensor has been developed for the determination of 2-naphthol (2-NAP) in human urine. This method is based on the precipitation of 2-NAP with diazonium salts produced by the diazo-reaction of sulfamethoxazole (SMZ) with nitrite under a weak alkaline condition, resulting in a descending of the resonance frequency of a wireless magnetoelastic sensor. The frequence shift values (ΔF) of the sensor were directly proportional to the concentration in the range of 1.13 - 139 µmol L(-1) for 2-NAP with a correlation coefficient of 0.997 and a detection limit of 0.340 µmol L(-1). The relative standard deviations were 2.38, 2.40 and 2.44%, and the average recovery was 107% (n = 6). The proposed method has additional advantages of being less time-consuming, low cost and remote query, and can be applied for real-time and in situ monitoring of 2-NAP in human urine. It would be a benefit to extend the scope of applications of magnetoelastic sensing techniques.

Inductance-based sensing technique for wireless, remote-query measurement in liquid media

A novel inductance-based sensing technique is presented for remote query measurement in different liquid media including organic solvents and inorganic solutions. The inorganic solutions tested included salt solutions of different concentrations, and the organic solvents detected included 1,4-dioxane and tetrahydrofuran. To extend the application of the sensor, bacterial culture media were also detected, and the growth of Escherichia coli (E. coli) was controlled. The influential factors which may affect the inductance responses were studied in detail. It was found that quantitative relationships exist between the sensor’s inductance response and the physico-chemical parameters of the liquid media. The sensor’s inductance response (L) decreases with the increase of salt concentration (C) and its ionic valence (e) according to a semi-logarithmic equation LgL = aeC + b, where a and b are constants, which is in accordance with the theoretically deduced equation. The inductance variation rate (K)

A Remote Query Pressure Sensor Based on Magnetic Higher Order Harmonic Fields

The design and fabrication of a wireless, passive pressure sensor based on the change in magnetic higher order harmonic fields is described. The sensor was made of an airtight pressure chamber with two opposite membranes: a rigid membrane attached to a magnetically soft ferromagnetic strip (sensing element) and a flexible membrane attached to a permanent magnetic strip (biasing element). The flexible membrane of the chamber deflected with changing pressure, thus varying the separation distance between the sensing and biasing elements. The change in separation distance in turn altered the biasing field experienced by the sensing element, varying the pattern of its magnetic higher order harmonic fields allowing remote pressure monitoring through a magnetic coil. In this work, different materials were used to fabricate the flexible membranes for sensors of different dynamic ranges. Experimental results showed the shifts in magnetic higher order harmonic fields were linear for all sensors, but with different sensitivity depending on the elasticity of the flexible membrane. The novelty of this sensor is its wireless, passive nature, which is ideal for applications where wire connections are prohibited. In addition, the simple sensor design reduces cost, allowing disposable use. Potential applications of such a sensor technology include long-term structural monitoring (concrete, asphalt) and in vivo pressure monitoring inside the human body.

A Wireless, Passive Strain Sensor: Application to In Vivo Monitoring of Compressive Forces at Knee Implants

This study describes the design of a new wireless and passive sensor for in vivo strain monitoring at knee replacements. In a total knee arthroplasty, the proximal end of the tibia and the two femoral condyles are replaced with artificial components, and a high-density polyethylene insert is placed between the two components. The wear and tear of the polyethylene insert is considered a threat to the long-term survival of many knee implants. We have designed a wireless, implantable strain sensor to study the stresses experienced by the polyethylene insert. The sensor, which is embedded within the insert, is comprised of a magnetically soft material (sensing element) and a magnetically hard material (biasing element) separated by a deformable∕flexible layer. Under AC magnetic field, the sensing element generates a secondary, higher-order mode magnetic flux that can be measured with a magnetic inductive coil. Additional stresses to the sensor deform the flexible layer, altering the higher-order magnetic flux and thus allowing remote measurement of compressive forces. The advantages of this sensor are, its wireless and passive nature, small size, and cost effectiveness. The remote query nature of this sensor allows long-term implantation and real-time monitoring of human body. Experimental results have shown that the sensor responded linearly with applied stress and demonstrated good repeatability and stability. We believe that the outcome of this project will greatly improve public health by leading to a better implant design and providing a convenient way to detect wear and tear of knee implants.

Wireless Magnetoelastic Physical, Chemical, and Biological Sensors

Magnetoelastic sensors belong to the class of resonator sensors and can be considered the magnetic analog of piezoelectric sensors; tracking the resonance behavior, typically characterized by the resonance frequency and/or amplitude, enables a wide variety of applications, including chem/bio-sensing and environmental monitoring. The practical use of the sensors is facilitated with the smart microprocessor-based monitoring electronics that accurately and efficiently characterizes the pulsewise excited sensor response. The low cost and remote query nature of the sensors make the sensor platform ideally suited for applications where the sensors have to be placed inside sealed, optically opaque containers and disposable use is desired. The applications of the sensors described herein are focused on, but not limited to, the quantification of endotoxin concentrations, blood coagulation monitoring, the measurement of gastroesophageal pH, and glucose sensing

A surface acoustic wave sensor modified from a wireless transmitter for the monitoring of the growth of bacteria

This work presents a novel surface acoustic wave (SAW) sensor for the measurement of the microbial count in a biological culture. The signal translation interface of the sensor was modified using a common commercial wireless SAW transmitter design. A pair of conductive electrodes was inserted in a 314.5 MHz SAW stabilized oscillator of the transmitter. Measurements were made by placing the electrodes within the culture solution of interest and measured the time required to identify readily detectable frequency changes (detection time, DT). The change of frequency was caused by the impedance change of the microbial metabolism. The calibration curve of detection times against density of Escherichia coli shows a linear correlation coefficient ( R 2 = 0.924) over the range of 10 2 to 10 7 cells/mL. A sample that contains 10 2 cells/mL of E. coli required a detection times (DT) of 7 h, shorter than was required using instruments based on conventional conductance methods. The proposed ultra high frequency SAW sensor (314.5 MHz) shows a large total frequency change and gives a sharp inflexion at the DT but possesses the same stability compared with that of low frequency serial piezoelectric quartz crystal (PQC) sensor for the measurement of bacteria concentration. This sensor platform enabled real time monitoring of bacterial growth within a sealed opaque container. This sensor is potentially applicable to a remote query wireless measurement in hazardous environments when a suitable antenna device is adapted.