Liangchi Li, Shuaijing Xu, Shenling Wang, Xianlin Ma
The construction of medical database has been constructed to some degrees, but the data redundancy between many medical sets has great influence on searching cross different sets. In this paper, the first step is to use three major domestic medical sets as the foundation of the research. And the Natural Language processing technologies is applied to realize the segmentation of disease description. Then, we use TF-IDF to calculate the weight of the feature words in the disease description, and establish the disease feature vector. Based on this vector, the similarity of disease feature vectors is measured by the cosine similarity method. Finally, the effect of k-means and k-center clustering algorithm on the alignment of the disease text is compared. The experimental results show that the k-center clustering algorithm has better performance compared to k-means. And the result of the clustering is reasonable to some extent.
{"title":"The Diseases Clustering for Multi-source Medical Sets","authors":"Liangchi Li, Shuaijing Xu, Shenling Wang, Xianlin Ma","doi":"10.1109/IIKI.2016.37","DOIUrl":"https://doi.org/10.1109/IIKI.2016.37","url":null,"abstract":"The construction of medical database has been constructed to some degrees, but the data redundancy between many medical sets has great influence on searching cross different sets. In this paper, the first step is to use three major domestic medical sets as the foundation of the research. And the Natural Language processing technologies is applied to realize the segmentation of disease description. Then, we use TF-IDF to calculate the weight of the feature words in the disease description, and establish the disease feature vector. Based on this vector, the similarity of disease feature vectors is measured by the cosine similarity method. Finally, the effect of k-means and k-center clustering algorithm on the alignment of the disease text is compared. The experimental results show that the k-center clustering algorithm has better performance compared to k-means. And the result of the clustering is reasonable to some extent.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127270394","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}
Under the Internet economy, online shopping is together with Internet financial behavior. This paper uses dimension analysis method to study the impact mechanism of online shopping consumers' financial behavior based on the background of Internet economy. The questionnaire survey, SPSS multi-sample t test is used to analyze the data and YAAHP software is used to analyze the influencing factors. It finds that the consumers' own factors and the internet platform factors have significant impact on the consumers' financial behavior in online shopping, while the social economic factors are not obvious. Finally, this paper puts forward the targeted countermeasures and suggestions from three aspects.
{"title":"A Study on the Influencing Factors of Consumers' Financial Behavior in Online Shopping","authors":"Zhao Cheng-Guo, Xiong Lv-Shan, Luo Jia-lu","doi":"10.1109/IIKI.2016.51","DOIUrl":"https://doi.org/10.1109/IIKI.2016.51","url":null,"abstract":"Under the Internet economy, online shopping is together with Internet financial behavior. This paper uses dimension analysis method to study the impact mechanism of online shopping consumers' financial behavior based on the background of Internet economy. The questionnaire survey, SPSS multi-sample t test is used to analyze the data and YAAHP software is used to analyze the influencing factors. It finds that the consumers' own factors and the internet platform factors have significant impact on the consumers' financial behavior in online shopping, while the social economic factors are not obvious. Finally, this paper puts forward the targeted countermeasures and suggestions from three aspects.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125445128","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}
Electrical speckle shearing pattern interferometry (ESSPI), being a kind of high-precision noncontact real-time measurement method in the whole field, has been used in the field of deformation measurement and harmonic vibration measurement deviating from rough object plane in the optical scale. The method can also be used in the field of nondestructive test (NDT). Two general methods, time-average methods and stroboscopic method, are studied to measure harmonic vibration deviating from object plane and corresponding mathematical models of electrical speckle shearing interfering stripes distribution are set up based on the theory of statistical optics. The vibration measuring system based on ESSPI is designed and the experiments are done to verify measurement availability of the above two methods. The experiment results with time-average method and those with stroboscopic method are compared to prove the following conclusions. The contrast of speckle stripes in electrical speckle shearing interfering stripe images with time-average method is decreased obviously with increase of the stripes level and therefore the time-average method is generally used in qualitative analysis of vibration. The speckle stripes quality in the electrical speckle shearing interfering stripe images with stroboscopic method is better than that with time-average method and the instant vibration distribution can be analyzed quantitatively with stroboscopic method too.
{"title":"Vibration Measurement with Electrical Speckle Shearing Pattern Interferometry","authors":"Chao Jing, Zhongling Liu, Chunlei Guo, Yu Zhang, Yimo Zhang","doi":"10.1109/IIKI.2016.119","DOIUrl":"https://doi.org/10.1109/IIKI.2016.119","url":null,"abstract":"Electrical speckle shearing pattern interferometry (ESSPI), being a kind of high-precision noncontact real-time measurement method in the whole field, has been used in the field of deformation measurement and harmonic vibration measurement deviating from rough object plane in the optical scale. The method can also be used in the field of nondestructive test (NDT). Two general methods, time-average methods and stroboscopic method, are studied to measure harmonic vibration deviating from object plane and corresponding mathematical models of electrical speckle shearing interfering stripes distribution are set up based on the theory of statistical optics. The vibration measuring system based on ESSPI is designed and the experiments are done to verify measurement availability of the above two methods. The experiment results with time-average method and those with stroboscopic method are compared to prove the following conclusions. The contrast of speckle stripes in electrical speckle shearing interfering stripe images with time-average method is decreased obviously with increase of the stripes level and therefore the time-average method is generally used in qualitative analysis of vibration. The speckle stripes quality in the electrical speckle shearing interfering stripe images with stroboscopic method is better than that with time-average method and the instant vibration distribution can be analyzed quantitatively with stroboscopic method too.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127728396","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}
Mohammadreza Sahebi Shahamabadi, B. Ali, N. Noordin, M. Rasid, A. Jara
The network mobility (NEMO) management for a mobile network of IPv6 low-power personal area network (6LoWPAN) in smart buildings has attracted much interest recently, this is partly due to the emergence of the internet of things (IoT). For the specific case of hospital environments, NEMO provides continued connectivity with the Internet for patients attached with 6LoWPAN mobile nodes (MNs) regardless of patients' locations. NEMO comprises a set of mobile network nodes (MNNs) that could move together as a single unit, and each of these mobile networks has a mobile router (MR) that can change its attachment point to the Internet as the network moves together. Even though NEMO has a low signaling cost, but there is a need to understand their challenges for a 6LoWPAN mobile network in smart buildings. If the MR loses its energy, the connectivity with the network will be lost. In this paper, to illustrate the challenges of NEMO in smart buildings like hospital environments, the traffic load at MR will be evaluated against the number of MNNs, number of handovers, and data arrival rate. This has been simulated by OMNet++4.3.1 and Contiki.
{"title":"The Challenges of NEMO in 6LoWPAN Smart Building Area","authors":"Mohammadreza Sahebi Shahamabadi, B. Ali, N. Noordin, M. Rasid, A. Jara","doi":"10.1109/IIKI.2016.110","DOIUrl":"https://doi.org/10.1109/IIKI.2016.110","url":null,"abstract":"The network mobility (NEMO) management for a mobile network of IPv6 low-power personal area network (6LoWPAN) in smart buildings has attracted much interest recently, this is partly due to the emergence of the internet of things (IoT). For the specific case of hospital environments, NEMO provides continued connectivity with the Internet for patients attached with 6LoWPAN mobile nodes (MNs) regardless of patients' locations. NEMO comprises a set of mobile network nodes (MNNs) that could move together as a single unit, and each of these mobile networks has a mobile router (MR) that can change its attachment point to the Internet as the network moves together. Even though NEMO has a low signaling cost, but there is a need to understand their challenges for a 6LoWPAN mobile network in smart buildings. If the MR loses its energy, the connectivity with the network will be lost. In this paper, to illustrate the challenges of NEMO in smart buildings like hospital environments, the traffic load at MR will be evaluated against the number of MNNs, number of handovers, and data arrival rate. This has been simulated by OMNet++4.3.1 and Contiki.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127456641","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}
Artificial neural network has brought a new way for prediction of geological reservoir physical parameters (e.g. porosity, permeability and saturation). However, it becomes strong pertinence and bad universal in parameters prediction. According to the thought of committee machine, the paper presents a new neural network model, which is based on BP neural network, radial basis function (RBF) neural network and support vector regression (SVR) model. And then, a single layer perceptron (SLP) combines different individual neural network to adjust of network structure and reap beneficial advantages of all model. Eventually, a committee neural network (CNN) was constructed. It eliminated the defects of individual neural network in porosity prediction and improved the accuracy of the prediction. Three well logs are applied for experiment. One was used to establish the CNN model, and the other two were employed to assess the reliability of constructed CNN model. Results show that the CNN model performed better than individual neural network model.
{"title":"A New Neural Network Model for Rock Porosity Prediction","authors":"Youxiang Duan, Yu Li, Gentian Li, Qifeng Sun","doi":"10.1109/IIKI.2016.44","DOIUrl":"https://doi.org/10.1109/IIKI.2016.44","url":null,"abstract":"Artificial neural network has brought a new way for prediction of geological reservoir physical parameters (e.g. porosity, permeability and saturation). However, it becomes strong pertinence and bad universal in parameters prediction. According to the thought of committee machine, the paper presents a new neural network model, which is based on BP neural network, radial basis function (RBF) neural network and support vector regression (SVR) model. And then, a single layer perceptron (SLP) combines different individual neural network to adjust of network structure and reap beneficial advantages of all model. Eventually, a committee neural network (CNN) was constructed. It eliminated the defects of individual neural network in porosity prediction and improved the accuracy of the prediction. Three well logs are applied for experiment. One was used to establish the CNN model, and the other two were employed to assess the reliability of constructed CNN model. Results show that the CNN model performed better than individual neural network model.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130384972","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}
The echo of target with micro-motion contains the electromagnetic scattering characteristics and movement characteristics, which plays important roles in the target identification. Precession period is one of the important characteristics on the analysis of the micro-motion characteristics. Aimed at the phenomenon of extracting the cycle of no precession target, in the thesis a method is proposed by combing period extraction with eigenvalue entropy. The original echo is constructed by establishing autocorrelation matrix and the eigenvalues are obtained through eigenvalue decomposition. Then the period is extracted after calculating the eigenvalue entropy. The method can eliminates some targets with no obvious precession and minishes the error of period extraction, which lays the foundation for the recognition of the final target class.
{"title":"Research on the Micro-Motion Patterns Recognition Method Based on Characteristic Value Entropy","authors":"Chuanzi Tang, Hongmei Ren, Wenjing Chen","doi":"10.1109/IIKI.2016.96","DOIUrl":"https://doi.org/10.1109/IIKI.2016.96","url":null,"abstract":"The echo of target with micro-motion contains the electromagnetic scattering characteristics and movement characteristics, which plays important roles in the target identification. Precession period is one of the important characteristics on the analysis of the micro-motion characteristics. Aimed at the phenomenon of extracting the cycle of no precession target, in the thesis a method is proposed by combing period extraction with eigenvalue entropy. The original echo is constructed by establishing autocorrelation matrix and the eigenvalues are obtained through eigenvalue decomposition. Then the period is extracted after calculating the eigenvalue entropy. The method can eliminates some targets with no obvious precession and minishes the error of period extraction, which lays the foundation for the recognition of the final target class.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116992948","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}
Underwater environments may vary gradually even when the occurrence of events is detected. Sensory data may follow a certain trend and are predictable during certain time durations. Taken these into concerns, a prediction mechanism can be adopted for estimate, and data are synchronized by underwater sensor nodes only when variation is beyond pre-specified thresholds. Leveraging predicted data, the coverage and sources of potential events are identified by the sink node, and the evolution of these events is determined accordingly. Evaluation results show the applicability and energy-efficiency of this approach, especially when the variation of network environments follows certain and simple patterns.
{"title":"Prediction-Based Event Determination in Underwater Wireless Sensor Networks","authors":"Wei Fang, Zhangbing Zhou, Lei Shu, Xiaolei Wang, Dengbiao Tu, Yongping Xiong","doi":"10.1109/IIKI.2016.86","DOIUrl":"https://doi.org/10.1109/IIKI.2016.86","url":null,"abstract":"Underwater environments may vary gradually even when the occurrence of events is detected. Sensory data may follow a certain trend and are predictable during certain time durations. Taken these into concerns, a prediction mechanism can be adopted for estimate, and data are synchronized by underwater sensor nodes only when variation is beyond pre-specified thresholds. Leveraging predicted data, the coverage and sources of potential events are identified by the sink node, and the evolution of these events is determined accordingly. Evaluation results show the applicability and energy-efficiency of this approach, especially when the variation of network environments follows certain and simple patterns.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134238607","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}
Unit and Ubiquitous IoT (U2IoT) is a typical IoT architecture for achieving comprehensive interactions of ubiquitous things. In U2IoT, security becomes a challenging issue due to objects' complicated interactive phases. The object in different phases of being mapped from the physical space to the cyber space has different security requirements. In this work, a concept of Object Life Cycle (OLC) is first proposed to describe the security requirements for the objects' physical access, cyberentity, and physical extinction phase in U2IoT. Meanwhile, considering the variety of objects and related diversity resources, Physical Unclonable Function (PUF) is introduced to design a lightweight mutual authentication protocol for a smart home scenario. The design correctness and formal security are proved based on the BAN-logic. It indicates that the proposed protocol satisfies the main security requirements for the object during the physical access phase.
{"title":"Physical Unclonable Function Based Authentication Protocol for Unit IoT and Ubiquitous IoT","authors":"Min Zhao, Xuanxia Yao, Hong Liu, Huansheng Ning","doi":"10.1109/IIKI.2016.85","DOIUrl":"https://doi.org/10.1109/IIKI.2016.85","url":null,"abstract":"Unit and Ubiquitous IoT (U2IoT) is a typical IoT architecture for achieving comprehensive interactions of ubiquitous things. In U2IoT, security becomes a challenging issue due to objects' complicated interactive phases. The object in different phases of being mapped from the physical space to the cyber space has different security requirements. In this work, a concept of Object Life Cycle (OLC) is first proposed to describe the security requirements for the objects' physical access, cyberentity, and physical extinction phase in U2IoT. Meanwhile, considering the variety of objects and related diversity resources, Physical Unclonable Function (PUF) is introduced to design a lightweight mutual authentication protocol for a smart home scenario. The design correctness and formal security are proved based on the BAN-logic. It indicates that the proposed protocol satisfies the main security requirements for the object during the physical access phase.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"15 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134412971","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}
Xiaosheng Wu, Shengling Wang, Chun-Chi Liu, Weiman Sun, Chenyu Wang
Crowdsourcing is a new paradigm emerged in recentyears. It can deal with the tasks posted by the requestor, who wants the worker to accept the task and finish it. Incrowdsourcing, it is a common case that using the reputationmechanism estimates worker's ability to avoid that the workercontributes low-quality work. Therefore, the reputation mechanismis integrated into the crowdsourcing for the tasks assignmentand the biding price in this paper. However, it is undesirable forsome requestors that the evaluation for workers, as requestors'private information, is exposed. The challenge is to finish the tasksmentioned above with keeping the requestors' private informationfrom exposing. Another important challenge with insufficientattention resides in finding the communication channels and getthe necessary information, which can obtain optimal benefit inincentive mechanism, as most of researchers focus on competitiverelationship between the worker and requestor. In this paper, wepropose the novel framework using the reputation mechanismbased on the Stackelberg game model to focus on the cooperationbetween workers and requestors. There are two stages whereworkers and requestors observe each others' strategies or sharetheir information to each other to maximize their own benefit. Firstly, we formulate the framework based on the Stackelberggame model and discuss its advantage. Subsequently, we study theoptimal strategies of each, give the process that how to calculateit, and analyse the unique Stackelberg Equilibrium. Finally, wesimulate our the framework and use different numerical valueparameters to test the effect on the performance of the games.
{"title":"Stackelberg Game Based Tasks Assignment Mechanism Using Reputation in Crowdsourcing","authors":"Xiaosheng Wu, Shengling Wang, Chun-Chi Liu, Weiman Sun, Chenyu Wang","doi":"10.1109/IIKI.2016.36","DOIUrl":"https://doi.org/10.1109/IIKI.2016.36","url":null,"abstract":"Crowdsourcing is a new paradigm emerged in recentyears. It can deal with the tasks posted by the requestor, who wants the worker to accept the task and finish it. Incrowdsourcing, it is a common case that using the reputationmechanism estimates worker's ability to avoid that the workercontributes low-quality work. Therefore, the reputation mechanismis integrated into the crowdsourcing for the tasks assignmentand the biding price in this paper. However, it is undesirable forsome requestors that the evaluation for workers, as requestors'private information, is exposed. The challenge is to finish the tasksmentioned above with keeping the requestors' private informationfrom exposing. Another important challenge with insufficientattention resides in finding the communication channels and getthe necessary information, which can obtain optimal benefit inincentive mechanism, as most of researchers focus on competitiverelationship between the worker and requestor. In this paper, wepropose the novel framework using the reputation mechanismbased on the Stackelberg game model to focus on the cooperationbetween workers and requestors. There are two stages whereworkers and requestors observe each others' strategies or sharetheir information to each other to maximize their own benefit. Firstly, we formulate the framework based on the Stackelberggame model and discuss its advantage. Subsequently, we study theoptimal strategies of each, give the process that how to calculateit, and analyse the unique Stackelberg Equilibrium. Finally, wesimulate our the framework and use different numerical valueparameters to test the effect on the performance of the games.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133950841","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}
Yijun Chen, Guangzhi Zhang, Junqi Guo, R. Mehmood, Yizhen Liu
To achieve a digital access to measurement of relative attitude between two separate objects, a separable digital protractor based on IMU is designed. The protractor consists of a pair of arms, with an IMU and a Bluetooth applied on each of them. Data of the two IMUs are transmitted to a processor on one arm and are used for IMU pose estimation. Since the IMU is rigidly tied to the arm, each estimated IMU pose is just that of the attached arm. By comparing the poses of the arms, we can achieve measurement of their relative attitude. Quaternion and Kalman Filter are used for pose representation and estimation respectively. Experiments are conducted on the accuracy and feasibility. Results show the angle measurement error is less than 2o, which is within the tolerance of most applications. With the help of wireless technology, the proposed protractor can bring lots of convenience in angle measurement for separate objects.
{"title":"A Separable Digital Protractor Based on IMU for Angle Measurement","authors":"Yijun Chen, Guangzhi Zhang, Junqi Guo, R. Mehmood, Yizhen Liu","doi":"10.1109/IIKI.2016.4","DOIUrl":"https://doi.org/10.1109/IIKI.2016.4","url":null,"abstract":"To achieve a digital access to measurement of relative attitude between two separate objects, a separable digital protractor based on IMU is designed. The protractor consists of a pair of arms, with an IMU and a Bluetooth applied on each of them. Data of the two IMUs are transmitted to a processor on one arm and are used for IMU pose estimation. Since the IMU is rigidly tied to the arm, each estimated IMU pose is just that of the attached arm. By comparing the poses of the arms, we can achieve measurement of their relative attitude. Quaternion and Kalman Filter are used for pose representation and estimation respectively. Experiments are conducted on the accuracy and feasibility. Results show the angle measurement error is less than 2o, which is within the tolerance of most applications. With the help of wireless technology, the proposed protractor can bring lots of convenience in angle measurement for separate objects.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122514605","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}
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