Int. J. Online Eng.最新文献

{"title":"Compressive Sensing Based Channel Estimation for High-order MIMO Systems","authors":"Zhiguo Lv, Y. Li","doi":"10.3991/IJOE.V14I07.8218","DOIUrl":"https://doi.org/10.3991/IJOE.V14I07.8218","url":null,"abstract":"The high-order multiple-input multiple-output (MIMO) system can remarkably increase the data rate or enhance the reliability. However, it is difficult to perform channel estimation because of the massive number of antennas. The Narrow Band Estimation Antenna Processing (NBEAP) scheme is used to deal with this issue. Nevertheless, the accuracy of the channel estimation needs to be improved. In this paper, a compressive sensing based scheme named Narrow Band Estimation Fixed Antenna Processing (NBEFAP) is proposed to estimate the channel state information (CSI) for high-order MIMO systems. A simple pilot structure is designed to decrease the computation complexity. In addition, the pilot length is adjusted according to the time-varying sparsity level of the CSI. Compared with NBEAP scheme, NBEFAP scheme can improve the estimation error performance. Simulation results verify the effectiveness of the NBEFAP scheme.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132021627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasonic Excitation - Fiber Bragg Grating Sensing Technique for Damage Identification","authors":"Cai Li, Xiaoguang Yue","doi":"10.3991/IJOE.V14I07.8969","DOIUrl":"https://doi.org/10.3991/IJOE.V14I07.8969","url":null,"abstract":"<p class=\"0keywords\"><span lang=\"EN-US\">Nondestructive testing plays an important role in on-line equipment inspection. Traditional nondestructive testing methods have been widely utilized for this. Ultrasonic excitation-fiber Bragg grating sensing technique is based on well-developed optical fiber grating technology, which has a good prospect of damage detection for mechanical equipments. However the corresponding research is still at the starting stage and further research work is necessary. The main contribution pursued in this investigation is to establish a detection system based on <a name=\"OLE_LINK3\"></a><a name=\"OLE_LINK2\"></a>fiber Bragg grating sensing under ultrasonic excitation and predict the damage position through time delay on the plate structure. Differencing from the conventional approaches, a new way of damage detection utilizes fiber Bragg grating sensors and a position algorithm by two-dimensional method is derived. Moreover, wavelet <a name=\"OLE_LINK10\"></a><a name=\"OLE_LINK9\"></a>transform is adopted in the subsequent signal processing. Finally</span><span lang=\"EN-US\">,</span><span lang=\"EN-US\"> a platform for experiment is built to verify the theoretical analysis of the sensing characterization of the fiber Bragg grating sensor in ultrasonic excitation. Experiment results show that the wavelet transform is effective for signal denoising and our localization algorithm is feasible.</span></p>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133862765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Device Protocol Design for Security on Internet of Things based Smart Home","authors":"T. Adiono, Bryan Tandiawan, S. Fuada","doi":"10.3991/IJOE.V14I07.7306","DOIUrl":"https://doi.org/10.3991/IJOE.V14I07.7306","url":null,"abstract":"One of the major challenges that arise in the internet of things (IoT) based smart home systems is security issue. It is still relatively low in which the exchange of data between devices can easily be stolen by outsiders since it is connected to the internet. In this work, we present the details of the protocol messages in smart home appliances that are encrypted by RSA algorithm and AES in which the RSA key was regenerated in every turnover of the day (exactly at 00:00:00 or 1 x 24 hours) since the last key generation by mobile. The performance test is done by sending an error command and a correct command to the RGB lamp device. The results show that the designed protocol works well as expected. Given the security mechanism in the designed protocol, data exchange between devices in the smart home will be hard to break by outsiders. Thus, the users can enjoy their smart home privacy without worrying the intruders (hacker).","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126970338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Probabilistical Robust Power Control for Cognitive Radio Networks under Interference Uncertainty Conditions","authors":"Lingling Chen, Zhiyi Fang, Xiaohui Zhao","doi":"10.3991/IJOE.V14I07.8967","DOIUrl":"https://doi.org/10.3991/IJOE.V14I07.8967","url":null,"abstract":"<p class=\"0abstract\"><a name=\"OLE_LINK11\"></a><a name=\"OLE_LINK12\"></a><span lang=\"EN-US\">The focus of this paper is to find a robust power control strategy with uncertain noise plus interference (NI) in </span><span lang=\"EN-US\">cognitive radio networks (</span><span lang=\"EN-US\">CRNs</span><span lang=\"EN-US\">)in an </span><span lang=\"EN-US\">under orthogonal frequency-division multiplexing (OFDM) framework. The optimization problem is formulated to maximize </span><span lang=\"EN-US\">the </span><span lang=\"EN-US\">data rate of secondary users (SUs) under the constraints o</span><span lang=\"EN-US\">f</span><span lang=\"EN-US\"> transmission power of each SU, probabilistic the transmit rate of each SU at each subcarrier and robust interference constraint of primary user. In consideration of the feedback errors from the quantization </span><span lang=\"EN-US\">due to</span><span lang=\"EN-US\"> uniform distribution, the probabilistic constraint is transformed into closed forms. By using Lagrange relaxation of the coupling constraints method and subgradient iterative algorithm in a distributed way, we solve this dual problem. Numerical simulation results show that our proposed algorithm is superior to the robust power control scheme based on interference gain worst case approach and non-robust algorithm without quantization error in perfect channels in the improvement of data rate of each SU, convergence speed and computational complexity.</span></p>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116146360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of Photovoltaic Power Supply MPPT Circuit for WSN Node Based on Current Observation","authors":"Lieping Zhang, Yanlin Yu, Hang Ma, Yu Zhang, Peng Cao","doi":"10.3991/IJOE.V14I07.8495","DOIUrl":"https://doi.org/10.3991/IJOE.V14I07.8495","url":null,"abstract":"In view of the problem of low energy collection efficiency and low efficiency of photovoltaic power supply modules in wireless sensor networks, a maximum power point tracking algorithm suitable for photovoltaic power supply of wireless sensor nodes is proposed. Firstly, the photovoltaic cell model is analyzed. Based on this, the traditional maximum power point tracking algorithm is analyzed. Combining with the advantages of disturbance observing method and load current maximization method, the problem of low working efficiency and low energy collection efficiency of functional modules is solved. Current observation method maximum power point tracking algorithm, and complete the relevant hardware circuit design. Experimental results show that the power consumption of MPPT circuit is low, and the efficiency caused by environmental factors is very small. The efficiency is kept above 90% and the overall system efficiency is about 87%, which provides a stable and reliable photovoltaic power supply for WSN nodes.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115515251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Faster R-CNN for Object Location in a Virtual Environment for Sorting Task","authors":"J. Arenas, Robinson Jiménez, Paula C. Useche Murillo","doi":"10.3991/ijoe.v14i07.8465","DOIUrl":"https://doi.org/10.3991/ijoe.v14i07.8465","url":null,"abstract":"This paper presents the implementation of a mobile robotic arm simulation whose task is to order different objects randomly distributed in a workspace. To develop this task, it is used a Faster R-CNN which is going to identify and locate the disordered elements, reaching 99% accuracy in validation tests and 100% in real-time tests, i.e. the robot was able to collect and locate all the objects to be ordered, taking into account that the virtual environment is controlled and the size of the input image obtained from the workspace to be entered to the network should be 700x525 px.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130919169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Damage Detection in a Plate Structure based on FBG sensing Technique under a Single-Mode Lamb Wave","authors":"Cai Li, Hunag Xiao, Zuo Xiaoqiong","doi":"10.3991/IJOE.V14I07.8965","DOIUrl":"https://doi.org/10.3991/IJOE.V14I07.8965","url":null,"abstract":"Lamb wave is widely acknowledged as one of the most encouraging tools for damage identification in plate structures, and relevant research has been conducted intensively. However Lamb wave modes have different wave structure, frequency dispersion and attenuation characteristics, which are sensitivity to different types of damages and it is difficult to solve such engineering problems by conventional techniques. Although the single pattern detection method has been researched by piezoelectric wafers, there is little research about FBG sensing detection under single-mode ultrasonic Lamb wave technique currently. So this paper puts forward a single-mode Lamb wave technique for crack detection based on Fiber Bragg Grating sensor, which is used to receive the waves in the plate. First of all, measuring principle of single-mode ultrasonic Lamb technique and demodulation principle of the FBG sensor are introduced. And simulation analysis in the acoustic field is devoted, whose results lay the foundation for the damage detection in the plate. Then, the experimental system is built by a single-mode Lamb wave excitation, and the feasibility of fiber Bragg grating sensors in single-mode excitation method is verified by experiments.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130227722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time Synchronization Algorithm for Wireless Sensor Networks Based on Frequency Offset Estimation","authors":"Shaojun Yu, Li Lin, Yujian Wang, Xingyuan Chen","doi":"10.3991/ijoe.v14i06.8699","DOIUrl":"https://doi.org/10.3991/ijoe.v14i06.8699","url":null,"abstract":"<p class=\"0abstract\"><span lang=\"EN-US\">A</span><span lang=\"EN-US\">iming at solving the poor</span><span lang=\"EN-US\"> the classical synchronous algorithm stability in wireless sensor network</span><span lang=\"EN-US\"> and high overhead of </span><span lang=\"EN-US\">clock phase offset and frequency offset</span><span lang=\"EN-US\">, </span><span lang=\"EN-US\">a synchronization algorithm (CSMS algorithm) was designed for wireless sensor networks based on frequency offset estimation. The CSMS algorithm used the low overhead phase bias and frequency offset estimation method to improve the synchronization accuracy and stability of the pair nodes. At the same time, a synchronization strategy was built based on layering and broadcast monitoring, which ensured the stability and synchronization accuracy of the algorithm, realized the synchronization with neighbor nodes and root nodes, and optimized the total synchronization cost. Among them, the CSMS algorithm was mainly divided into two stages: level discovery phase, </span><span lang=\"EN-US\">which was used</span><span lang=\"EN-US\"> for generating a layered structure of network; synchronization </span><span lang=\"EN-US\">phase, used to estimate c</span><span lang=\"EN-US\">lock offset and frequency </span><span lang=\"EN-US\">offset between</span><span lang=\"EN-US\"> pairs of nodes</span><span lang=\"EN-US\">.</span><span lang=\"EN-US\"> The experimental results showed that the CSMS algorithm can effectively balance the synchronization energy</span><span lang=\"EN-US\"> consumption</span><span lang=\"EN-US\">, synchronization accuracy and synchronization stability. </span><span lang=\"EN-US\">As a result, it is summed up that </span><span lang=\"EN-US\">dynamic adjustment of the nodes clock deviation</span><span lang=\"EN-US\"> is realized</span><span lang=\"EN-US\">, the long-term stability of synchronization</span><span lang=\"EN-US\"> is ensured</span><span lang=\"EN-US\">, </span><span lang=\"EN-US\">and </span><span lang=\"EN-US\">the precision of synchronization</span><span lang=\"EN-US\"> is improved</span><span lang=\"EN-US\">. </span></p>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125074992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information Security Transmission Technology in Internet of Things Control System","authors":"Y. Zou, Jiezhuo Lv","doi":"10.3991/IJOE.V14I06.8707","DOIUrl":"https://doi.org/10.3991/IJOE.V14I06.8707","url":null,"abstract":"To solve the information security problem in Internet of things control system, the information security transmission technology was mainly discussed and studied, and the basic structure of networking control system was analyzed. From the main control equipment, communication equipment, control equipment, monitoring equipment, information storage device, connecting equipment and other aspects, the further research was carried out. Secondly, the structure of the Internet of things was studied, the security problems which may exist were discussed, and it was analyzed from the access security, transmission security and delays stability safety three aspects. Finally, the information security transmission technology based on the Internet of things control system was explored, and the encryption technology, authentication technology and isolation technology were analyzed in detail. The results showed that the networking control system not only had the advantages of transmission reliability, convenient interaction, and simple assembly, but also had the strengths of disperse structure, real-time data, remote monitoring and others. At last, it is summed up that the existing reliable communication resources are maximized in the transmission mechanism of the Internet of things. ","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123402792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of Artificial Intelligence Detection System Based on Multi-sensor Data Fusion","authors":"Meifang Han","doi":"10.3991/ijoe.v14i06.8696","DOIUrl":"https://doi.org/10.3991/ijoe.v14i06.8696","url":null,"abstract":"<p class=\"0abstract\"><span lang=\"EN-US\">Aiming at <a name=\"_Hlk508710819\"></a>solving </span><span lang=\"EN-US\">the navigation and obstacle avoidance of the unmanned vehicle</span><span lang=\"EN-US\">,</span><span lang=\"EN-US\">the multi sensor data fusion technology</span><span lang=\"EN-US\"> and</span><span lang=\"EN-US\"> unmanned vehicle obstacle avoidance navigation algorithm </span><span lang=\"EN-US\">were</span><span lang=\"EN-US\"> studied</span><span lang=\"EN-US\"> profoundly. A</span><span lang=\"EN-US\">ccording to the requirements of the application of unmanned vehicle navigation and obstacle avoidance system, multi</span><span lang=\"EN-US\">sensor data fusion technology </span><span lang=\"EN-US\">wa</span><span lang=\"EN-US\">s applied to unmanned vehicle navigation and obstacle avoidance control system</span><span lang=\"EN-US\">. In addition,</span><span lang=\"EN-US\"> A*VFF navigation and obstacle avoidance algorithm </span><span lang=\"EN-US\">based on</span><span lang=\"EN-US\"> fuzzy neural network</span><span lang=\"EN-US\"> was</span><span lang=\"EN-US\"> improved</span><span lang=\"EN-US\">. F</span><span lang=\"EN-US\">inally</span><span lang=\"EN-US\">,</span><span lang=\"EN-US\"> through the construction of the simulation platform, simulation experiment</span><span lang=\"EN-US\"> of</span><span lang=\"EN-US\"> the unmanned vehicle obstacle avoidance navigation </span><span lang=\"EN-US\">was </span><span lang=\"EN-US\">completed, </span><span lang=\"EN-US\">and</span><span lang=\"EN-US\"> a better route</span><span lang=\"EN-US\"> was planned for </span><span lang=\"EN-US\">unmanned vehicl</span><span lang=\"EN-US\">e</span><span lang=\"EN-US\"> in a more complex environment</span><span lang=\"EN-US\">. The results showed that it</span><span lang=\"EN-US\"> realize</span><span lang=\"EN-US\">d</span><span lang=\"EN-US\"> the autonomous navigation of unmanned vehicle and obstacle avoidance function. </span><span lang=\"EN-US\">Based on the above findings, it is concluded that the application of artificial intelligence detection system has good performance.</span></p>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123445552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}