Bioinspired Multifunctional Self-Sensing Actuated Gradient Hydrogel for Soft-Hard Robot Remote Interaction

The development of bioinspired gradient hydrogels with self-sensing actuated capabilities for remote interaction with soft-hard robots remains a challenging endeavor. Here, we propose a novel multifunctional self-sensing actuated gradient hydrogel that combines ultrafast actuation and high sensitivity for remote interaction with robotic hand. The gradient network structure, achieved through a wettability difference method involving the rapid precipitation of MoO_(2) nanosheets, introduces hydrophilic disparities between two sides within hydrogel. This distinctive approach bestows the hydrogel with ultrafast thermo-responsive actuation(21° s^(-1)) and enhanced photothermal efficiency(increase by 3.7 ℃ s^(-1) under 808 nm near-infrared). Moreover, the local cross-linking of sodium alginate with Ca^(2+) endows the hydrogel with programmable deformability and information display capabilities. Additionally, the hydrogel exhibits high sensitivity(gauge factor 3.94 within a wide strain range of 600%), fast response times(140 ms) and good cycling stability. Leveraging these exceptional properties, we incorporate the hydrogel into various soft actuators, including soft gripper, artificial iris, and bioinspired jellyfish, as well as wearable electronics capable of precise human motion and physiological signal detection. Furthermore, through the synergistic combination of remarkable actuation and sensitivity, we realize a self-sensing touch bioinspired tongue. Notably, by employing quantitative analysis of actuation-sensing, we realize remote interaction between soft-hard robot via the Internet of Things. The multifunctional self-sensing actuated gradient hydrogel presented in this study provides a new insight for advanced somatosensory materials, self-feedback intelligent soft robots and human–machine interactions.

Possibility of the Application of the Ultra-long Electromagnetic Wave Remote Sensor to Marine Geological Exploration

The ultra-long electromagnetic wave remote sensing technique developed by Peking University is one of new future techniques, which can detect the submarine geological information from the depth of 20 to 10000 m below the surface by receiving natural ultra-long electromagnetic waves (n Hz to n 100 Hz). The new remote sensor is composed of three parts: a main instrument with a portable computer, an antenna with an amplifier and an external power.

Techniques in Utilizing Remote Sensor Technology for Precision Crop Production by Farmers as Climate Change Adaptation Strategy in Nigeria

This paper focuses on techniques in utilizing remote sensor technology for precision crop production by farmers as climate change adaptation strategy in Nigeria. Descriptive survey research design was adopted for the study and was carried out between August 2013 and May 2014. The findings of the study revealed that 32 items were needed by farmers in utilizing sensory technology for precision crop production. The study recommended that the 32 items identified by the study should be utilized by extension agent in teaching the farmers the use of sensor technology for precision crop production while the farmers should make themselves available for the training.

Cathodic Protection Remote Monitoring Based on Wireless Sensor Network

Cathodic Protection system is an efficient system used for protecting the underground metal objects from corrosion. In this paper the use of Cathodic Protection (CP) system and how they can be developed to simulate corrosion control solution was illustrated. The aim of developing a Cathodic Protection system is to provide control over oil pipelines and to reduce the incidence of corrosion. The proposed system integrates the technology of wireless sensor Network (WSN) in order to collect potential data and to realize remote data transmission. In this system each WSN receives the data from the environment and forwards it to a Remote Terminal Unit (RTU). Then each RTU forwards it to its base station (BS). In this work Labview 2010 program was used, due to its high potentials. In addition it contains a Tool Kit that supports the wireless sensor network. In this simulation used many cases study to test and monitoring data and get optimum results, least time delay and high speed to prevent corrosion.

Integrating Remote Sensing and Proximal Sensors for the Detection of Soil Moisture and Salinity Variability in Coastal Areas

Soil moisture and salinity are two crucial coastal saline soil variables, which influence the soil quality and agricultural productivity in the reclaimed coastal region. Accurately characterizing the spatial variability of these soil parameters is critical for the rational development and utilization of tideland resources. In the present study, the spatial variability of soil moisture and salinity in the reclaimed area of Hangzhou gulf, Shangyu City, Zhejiang Province, China, was detected using the data acquired from radar image and the proximal sensor EM38. Soil moisture closely correlates radar scattering coefficient, and a simplified inversion model was built based on a backscattering coefficient extracted from multi-polarization data of ALOS/PALSAR and in situ soil moisture measured by a time domain reflectometer to detect soil moisture variations. The result indicated a higher accuracy of soil moisture inversion by the HH polarization mode than those by the HV mode. Soil salinity is reflected by soil apparent electrical conductivity （ECa）. Further, ECa can be rapidly detected by EM38 equipment in situ linked with GPS for characterizing the spatial variability of soil salinity. Based on the strong spatial variability and interactions of soil moisture and salinity, a cokriging interpolation method with auxiliary variable of backscattering coefficient was adopted to map the spatial variability of ECa. When compared with a map of ECa interpolated by the ordinary kriging method, detail was revealed and the accuracy was increased by 15.3%. The results conclude that the integrating active remote sensing and proximal sensors EM38 are effective and acceptable approaches for rapidly and accurately detecting soil moisture and salinity variability in coastal areas, especially in the subtropical coastal zones of China with frequent heavy cloud cover.

Remote electrocardiograph monitoring using a novel adhesive strip sensor: A pilot study

The increase in health care costs is not sustainable and has heightened the need for innovative low cost effective strategies for delivering patient care. Remote monitoring holds great promise for preventing or shortening duration of hospitalization even while improving quality of care. We therefore conducted a proof of concept study to examine the quality of electrocardiograph (ECG) recordings obtained remotely and to test its potential utility in detecting harmful rhythms such as atrial fibrillation. We tested a novel adhesive strip ECG monitor and assessed the ECG quality in ambulatory individuals. 2630 ECG strips were analyzed and classified as: Sinus, atrial fibrillation (AF), indeterminate, or other. Four readers independently rated ECG quality: 0: Noise; 1: QRS complexes seen, but P-wave indeterminate; 2: QRS complexes seen, P-waves seen but poor quality; and 3: Clean QRS complexes and P-waves. The combined average rating was: Noise 12%; R-R, no P-wave 10%; R-R, no PR interval 18%; and R-R with PR interval 60% (if Sinus). If minimum diagnostic quality was a score of 1, 88% of strips were diagnostic. There was moderate to high agreement regarding quality (weighted Kappa statistic values; 0.58 to 0.76) and high level of agreement regarding ECG diagnosis (ICC = 0.93). A highly variable RR interval (HRV ≥ 7) predicted AF (AUC = 0.87). The monitor acquires and transmits diagnostic high quality ECG data and permits characterization of AF.

Design and Implementation of Remote Health Monitoring Sensor Network Based on the Internet of Things

From the view of practical application, this paper designs the human body physiology information collection nodes, the coordinator node, wireless transmission system using CC2430 microcontroller, and detailed design information of human body sensor （temperature, heart rate, ECG / pulse） circuit diagram. This paper set up software of a wireless network （ZigBee protocol）, sensor signal acquisition, wireless transmitting and receiving, and communicate with PC machine by serial communication coordinator node. Experiments show that the network node data transmission accurate, reliable work, basically reached the requirements of the design issues.

Design and Development of a Greenhouse Remote Monitoring System Based on WinCE

Based on the current development status of greenhouse remote monitoring systems, a greenhouse remote monitoring system based on WinCE was designed and developed. In the system, various environmental sensors in a greenhouse are used to collect the environmental data of the greenhouse in real time, and the data are exchanged through the wireless communication module and the embedded master WinCE system plat-form in the greenhouse. The host controllers in the main controller of the greenhouse communicate with each other through the TCP/IP protocol, and communicate with the real-time monitoring and management system. The remote control of the greenhouse is performed via the monitoring page. The tests of a PC and mobile phone show that the system is reliable and easy to use, and the expected goals have been achieved in all aspects.

Simulate New Near Equatorial Satellite System by a Novel Multi-Fields and Purposes Remote Sensing Goniometer

Researchers in the remote sensing field use different types of images from satellite systems and simulator devices, such as goniometers. However, no device can simulate the new generation of optical satellite system called near-equatorial satellite system to perform different kinds of remote sensing applications in equatorial regions. This study proposed a newly invented laboratory and fieldwork goniometer designed to simulate and capture intensity variation and measure the bidirectional spectral reflectance of earth surface. The proposed goniometer is a multi-purpose and multi-field device. It is able to simulate different satellite systems and measure the intensity variation and spectral reflectance of earth’s surface features with freely azimuth and zenith angles of sensors and illumination source in fieldwork and/or laboratory. However, the system of invention is focusing on specific satellite orbital to work with the parameters and properties of NEqO satellite system in order to obtain NEqO system imagery for performing different applications such as geometric correction, relative radiometric normalization and change detection for future work. The significant of this invention is that most of the invented goniometers of remote sensing are able to work just in field or just in laboratory and use, carry just optical sensor or hyperspectral sensor. Specifically, our invention can do all these functions that are not available in existing goniometers. The proposed device offers several advantages, namely, high measurement speed, flexibility, low cost, efficiency, and possible measurement depending on the free zenith/azimuth angles of sensors and illumination sources. The proposed goniometer includes ten parts, and two different sensors (optical and hyperspectral).

Study on straw incineration monitoring based on the combination of remote sensing image

Straw incineration monitor is a key part of international environmental governance.In the paper,the combination of MODIS,MUX and TLC remote sensors is used to monitor straw burning fire points accurately.MODIS remote sensor has the characteristics of high temporal resolution and thermal infrared band,which can be used to judge the regional thermal abnormal variation and preliminary extract the suspicious thermal abnormal points.Combining with GIS information,the preliminary position of MODIS thermal abnormal points can be acquired.The MUX and TLC sensors of ZY-3 satellite in the preliminary position area can be pretreated,which includes radiometric calibration,atmospheric correction,geometric precision correction,ortho-rectification,etc.Through analyzing the physical properties and spectral information in the straw incineration area,the interpretation features of the straw incineration area will be determined.Then the high geographical resolution fusion image with two meters resolution can be interpreted,and the information of fire-point in high geographical resolution remote sensor can be extracted.Combining with the Google earth map to compare interpretation images in different time range of this area,and using ArcGIS platform to accurately position the confirmed fire point,the final position of the fire can be determined.Correspondingly,the combination of remote sensing sensors with high,medium and low resolution can be used to monitor the straw incineration point in county area.In experimental area,there are twenty-three straw burning fire points are found.The experimental results show that,this method can realize precise monitoring of straw incineration point in county area.However,straw incineration point monitoring in real time still need to be further investigated.

Some essential questions in remote sensing science and technology

In this paper,I propose a personal view on the general contents of remote sensing science and technology,which includes sensor research and manufacturing,remotely sensed data acquisition,data processing,information extraction and remote sensing applications.Serving as the basis for all these components is radiative transfer process modeling and inversion.Also of importance is the effective visualization of remotely sensed data and their efficient distribution to end users.In all these areas,there are critical research questions.In particular,I consider 4 fundamental areas for improved application of remote sensing.These include the scale and angular issues in remote sensing,removal of topographic effects on the radiance and geometry of remotely sensed imagery and the related question of multisource and multitemporal data registration,integrating knowledge and remotely sensed data into effective information extraction,and four dimensional data assimilation techniques.Strategies of information extraction can be broadly divided into manual visual analysis and computer-based analysis.The computer based information analysis include radiative transfer model inversion,image classification,regression analysis,three dimensional information extraction,shape analysis and change detection.Successful information extraction is the key to the success of remote sensing.There are many important issues that need to be solved including how to make better use of the spatial and temporal data present in remotely sensed data in information extraction.How to effectively combine the strength of both computer analysis and human interpretation? Finally,4D data assimilation is the new direction that allows for the integration of instantaneous observation with process-based climate,hydrological and ecological models.Further work along this direction will enhance the contribution of remote sensing in global change studies.In return,the quality of remotely sensed parameters can be improved.

Several solutions of remote transmission for state monitoring of bridges

The research for remote monitoring of bridges is expected to develop methodologies and tools for collecting state data, monitoring the real-time status of the bridge from distance, and more importantly seeking a best way for remote transmission of bridge monitoring system by comparing the characteristics of each scheme. This paper focuses on the solutions to remote transmission for state monitoring of bridges, which deals with the remote transmission system based on PSTN (Public Service Telephone Network), wireless sensor monitoring system and remote transmission using SDH (Synchronous Digital Hierarchy) network. As a result, a combination of wireless sensor monitoring system and the remote sensing system using SDH network is proposed to be the considered way for remote state monitoring of bridges.

Research and application on wireless remote measurement system of drill hydrology

The configuration, function, principle of operation and the main design of the wireless remote measurement system of drill hydrology based on GPRS were introduced in this paper. The current resources of GPIRS network was used by the system, and water level, water temperature and turbidity were measured by the intelligent sensors. Then the data were transmitted to the monitoring computer by the GPRS modem in wireless, which processed the data, forecasted and predicted water disaster. The monitoring computer software has the Chinese operation interface in the windows circumstance with simple and convenience using. The managers can operate every function by the Chinese cue. The data communications between the remote indicating instrument distributing in every drill and the monitoring computer is built only by one monitoring computer. The technology of data collection, GPRS wireless communication, computer, data processing, database were collected by the system, some functions such as real time supervising, early-warning, decision-making supporting, and so on had been achieved. The system has such merits as high precision, low cost, flexible distributing, credible transmitting and simple operation.

A Design of Remote-Controlled Chalkboard Eraser

Chalkboard erasers that are commonly used in many schools and education organizations have the poor ability in removing the dust off the chalkboard and collect them. The dust that is not collected will be taken into human bodies via inhalation, which will lead to respiratory diseases. Therefore, it is crucial to design a chalkboard eraser that can collect the dust effectively. If the eraser can be controlled both remotely and manually by people, it can further reduce the amount of dust taken in by human bodies. To achieve remote control, a micro-controller is needed to transfer the infrared radiation (IR) into signals that can control electric motors to move around on the chalkboard. Furthermore, the microfiber is also used as the cleaning material to improve the performance of dust cleaning and collecting. A vacuum pump is needed to create negative pressure between the eraser and the chalkboard so that the eraser can stick to it. The result shows a stronger ability in removing and collecting dust. With the help of the Arduino UNO board, the remote control is successfully achieved, and the eraser can move on the chalkboard freely according to the order.

无人机遥感作物估产研究进展

快速、准确估测作物产量不仅有利于提前掌握粮食生产状况,而且对国家粮食政策的制定至关重要。无人机遥感技术因其快速、便捷、成本低等优势,以及可同时搭载多种传感器获取高时空分辨率影像,在作物产量估测研究中发挥了重要作用。本文首先介绍了无人机遥感估产的相关背景;其次对近二十年来无人机遥感估产的研究现状进行了概述,分别从无人机平台、传感器、估产模型构建等方面重点综述了近年来国内外无人机遥感估产的研究进展;最后讨论了影响无人机遥感估产精度的因素、尚未解决的关键技术问题以及无人机遥感估产的未来发展前景。本文可为了解无人机遥感估产研究前沿、技术瓶颈、发展前景提供重要参考,为精确栽培、智慧育种提供技术支撑。

基于多源卫星遥感的气象观测业务工作数据监测技术

传统的气象观测方法受限于地理位置、设备条件等因素,难以实现对全球范围内的气象现象进行持续、全面的监测。因此,提出基于多源卫星遥感的气象观测业务工作数据监测技术。基于多源卫星遥感安装传感器,对数字气象观测卫星图像进行求解,实时监测气象观测业务工作数据,并对数据进行安全存储,实现气象观测业务工作数据监测。实验结果表明:所研究技术能够准确监测出气温数据,具有较好的监测效果。

Sensor Web支持下的租赁车辆远程监控系统设计与实现

对于大型的租赁公司来说,租赁车辆类型多种多样,不同车型安装的定位设备多来自于不同的生产商,这些设备在数据传输协议和数据存储格式上存在很大差异,导致资源难以互通互联;现有的关于租赁车辆远程监控方案只是针对单一定位设备进行数据管理,难以实现多源定位设备获取数据的融合;为解决以上问题,开展多源定位设备接入管理研究,构建一个兼容多源定位设备的租赁车辆远程监控系统;通过对GT220和GT710这两种来自不同厂商的定位设备建模注册,利用Sensor Web标准中的传感器观测服务(SOS,Sensor Observation Service)对多源定位设备及其观测信息进行统一管理;基于Java、AJAX、MINA框架等技术研发了租赁车辆远程监控系统;基于HTML、CSS、JavaScript等技术开发了简洁友好的前端监控页面,实现了车辆实时位置查询、历史轨迹回放、电子围栏报警等功能;对GT220和GT710两种定位设备的仿真实验表明,该系统能准确获取租赁车辆的定位信息,并实现实时跟踪、越界报警.

Advanced Border Intrusion Detection and Surveillance Using Wireless Sensor Network Technology

Wireless Sensor Network (WSN) has been emerging in the last decade as a powerful tool for connecting physical and digital world. WSN has been used in many applications such habitat monitoring, building monitoring, smart grid and pipeline monitoring. In addition, few researchers have been experimenting with WSN in many mission-critical applications such as military applications. This paper surveys the literature for experimenting work done in border surveillance and intrusion detection using the technology of WSN. The potential benefits of using WSN in border surveillance are huge;however, up to our knowledge very few attempts of solving many critical issues about this application could be found in the literature.

Simple method for extracting the seasonal signals of photochemical reflectance index and normalized difference vegetation index measured using a spectral reflectance sensor

A spectral reflectance sensor(SRS)fixed on the near-surface ground was developed to support the continuous monitoring of vegetation indices such as the normalized difference vegetation index(NDVI)and photochemical reflectance index(PRI).NDVI is useful for indicating crop growth/phenology,whereas PRI was developed for observing physiological conditions.Thus,the seasonal change patterns of NDVI and PRI are two valuable pieces of information in a crop-monitoring system.However,capturing the seasonal patterns is considered challenging because the vegetation index values estimated by the reflection from vegetation are often governed by meteorological conditions,such as solar irradiance and precipitation.Further,unlike growth/phenology,the physiological condition has diurnal changes as well as seasonal characteristics.This study proposed a novel filtering method for extracting the seasonal signals of SRS-based NDVI and PRI in paddy rice,barley,and garlic.First,the measurement accuracy of SRSs was compared with handheld spectrometers,and the R^(2)values between the two devices were 0.96 and 0.81 for NDVI and PRI,respectively.Second,the experimental study of threshold criteria with respect to meteorological variables(i.e.,insolation,cloudiness,sunshine duration,and precipitation)was conducted,and sunshine duration was the most useful one for excluding distorted values of the vegetation indices.After data processing based on sunshine duration,the R^(2)values between the measured vegetation indices and the extracted seasonal signals of vegetation indices increased by approximately 0.002–0.004(NDVI)and 0.065–0.298(PRI)on the three crops,and the seasonal signals of vegetation indices became noticeably improved.This method will contribute to an agricultural monitoring system by identifying the seasonal changes in crop growth and physiological conditions.

Stochastic DoS Attack Allocation Against Collaborative Estimation in Sensor Networks

In this paper,denial of service(DoS)attack management for destroying the collaborative estimation in sensor networks and minimizing attack energy from the attacker perspective is studied.In the communication channels between sensors and a remote estimator,the attacker chooses some channels to randomly jam DoS attacks to make their packets randomly dropped.A stochastic power allocation approach composed of three steps is proposed.Firstly,the minimum number of channels and the channel set to be attacked are given.Secondly,a necessary condition and a sufficient condition on the packet loss probabilities of the channels in the attack set are provided for general and special systems,respectively.Finally,by converting the original coupling nonlinear programming problem to a linear programming problem,a method of searching attack probabilities and power to minimize the attack energy is proposed.The effectiveness of the proposed scheme is verified by simulation examples.