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- Cai, Hongming, et al.
(author)
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IoT-Based Big Data Storage Systems in Cloud Computing : Perspectives and Challenges
- 2017
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In: IEEE Internet of Things Journal. - : IEEE. - 2327-4662. ; 4:1, s. 75-87
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Journal article (peer-reviewed)abstract
- Internet of Things (IoT) related applications have emerged as an important field for both engineers and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations especially in cloud computing. This paper first provides a functional framework that identifies the acquisition, management, processing and mining areas of IoT big data, and several associated technical modules are defined and described in terms of their key characteristics and capabilities. Then current research in IoT application is analyzed, moreover, the challenges and opportunities associated with IoT big data research are identified. We also report a study of critical IoT application publications and research topics based on related academic and industry publications. Finally, some open issues and some typical examples are given under the proposed IoT-related research framework
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- Cai, Hongming, 1956-
(author)
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Single fibre laser Doppler flowmetry for skeletal muscle perfusion measurements : methodological developments and clinical applications
- 1997
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Doctoral thesis (other academic/artistic)abstract
- Measurements of microvascular blood flow in skeletal muscle by using the laser Doppler flowmetry (LDF) technique were first reported in 1979. The introduction of the single fibre technique in 1987 increased the possibilities of studying muscle perfusion under various physiological conditions without causing major tissue trauma.On-line processing of the LDF- and rms-EMG-signals made possible interpretation of the relationship between the perfusion and the activity of the muscle. Percutaneous single fibre LDF and bipolar surface electromyography (EMG) of the upper portion of trapezius muscle were performed continuously during a 10-minute long series of alternating periods of static contractions and rest, each of a one-minute duration. Regression analyses showed positive correlation between LDF and rms-EMG, as well as LDF and degree of arm elevation. Microcirculation in the trapezius muscle and the supraspinatus were measured simultaneously by continuous LDF during stepwise increased contractions related to the EMG too. Blood flow increased significantly in both muscles during increased shoulder torque. The blood flow in the trapezius muscle increased significantly at increased rms-EMG. But, no significant increase in muscle blood flow occurred in the supraspinatus muscle which thus seems to be more prone to develop ischemia during strenuous static work.A PC-based signal processor with a digital signal processing board was developed for evaluation of the different fibre tips' optic characters and laser Doppler algorithm, as well as for presentation of the laser Doppler measurement results. The Doppler signal power spectral density and corresponding flux values were visualized on the computer screen continuously in real-time. The single fibre technique has been further developed with the aim of improving the signal quality by modifying the geometry of the fibre tip and increasing the light wavelength, since the small monitored tissue volume in the muscle tissue by single fibre LDF is its drawback. The modified fibre tips, sphere and "pear" type, probes showed a higher flow sensitivity than did the flat end type. An infrared laser diode with the wavelength of 750 nm was used in the new optical module. These improvements were interpreted as being related mostly to a larger, strongly irradiated tissue volume in front of the fibre. The results were evaluated theoretically with ray tracing simulations and experimentally with the mechanical and flow models. The modified fibre with the new signal processor for monitoring blood flow has been successfully used in intramuscular measurements.
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- Cai, Hongming, et al.
(author)
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Web of Things Data Storage
- 2017
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In: Managing the Web of Things. - : Elsevier. - 9780128097656 - 9780128097649 ; , s. 325-354
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Book chapter (peer-reviewed)abstract
- With the wide spread of Web of Things (WoT) technology, massive data are generated by huge amounts of distributed sensors and different applications. WoT related applications have emerged as an important area for both engineers and researchers. As a consequence, how to acquire, integrate, store, process and use these data has become an urgent and important problem for enterprises to achieve their business goals. Based on data processing functional analysis, a framework is provided to identify the representation, management, and disposing areas of WoT data. Several associated functional modules are defined and described in terms of their key characteristics and capabilities. Then, current researches in WoT applications are organized and compared to show the state-of-the-art achievements in literature from the view of data processing process. Next, some WoT storage techniques are discussed to enable WoT applications to move into cloud platforms. Lastly, based on application requirement analysis, some future technical tendencies are also proposed.
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- Mao, Junjie, et al.
(author)
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A Web of Things Based Device-adaptive Service Composition Framework
- 2016
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In: 2016 IEEE 13th International Conference on e-Business Engineering (ICEBE). - : IEEE. - 9781509061198 - 9781509061204 ; , s. 40-47
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Conference paper (peer-reviewed)abstract
- In WoT environment, smart things provide RESTful services to expose their resources and operations. There are a large number of smart things that offer the same functionalities but have different service interfaces. Because of the high coupling between device service instances and process specifications like BPEL, the cost of reusing a BPEL specification between different device environments could be extremely high. We propose a device-adaptive service composition framework for WoT environment, in order to help users to apply the business process and service composition technologies more conveniently. In the framework, we design an activity description model, which is a semantic description for business activities, to overcome the shortcoming of directly binding the process and the service. Then, a matching mechanism between the model and the WADL of device services is proposed to select candidate services for the composition. Furthermore, we represent the matching result in a logical composition model, with which the source code of a general service can be automatically generated. The general service is a unified encapsulation for device services that match the functionalities of business activity. So user can interact with the general service instead of the origin services on the device, which decouples the process specification and the actual device services. A case study is offered to illustrate how to apply our framework in an intelligent charging pile sharing platform.
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