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Web services for things

In this chapter, we introduce an interesting type of Web services for "things". Existing Web services are applications across the Web that perform functions mainly to satisfy users' social needs "from simple requests to complicated business processes". Throughout history, humans have accumulated lots of knowledge about diverse things in the physical world. However, human knowledge about the world has not been fully used on the current Web which focuses on social communication; the prospect of interacting with things other than people on the future Web is very exciting. The purpose of Web services for "things" is to provide a tunnel for people to interact with things in the physical world from anywhere through the Internet. Extending the service targets from people to anything challenges the existing techniques of Web services from three aspects: first, an unified interface should be provided for people to describe the needs of things; then basic components should be designed in a Web service for things; final…

Author: Huang, Guangyan, He, Jing, Zhang, Yanchun
Publication year: 2014
Publication type: Book chapter
Status: Live|Last updated:14 August 2018 3:32 PM
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Modeling experimental recordings of vagal afferent signaling of intestinal inflammation for neuromodulation

Objective: Artificial modulation of peripheral nerve signals (neuromodulation) by electrical stimulation is an innovation with potential to develop treatments that replace or supplement drugs. One function of the nervous system that can be exploited by neuromodulation is regulation of disease intensity. Optimal interfacing of devices with the nervous system requires suitable models of peripheral nerve systems so that closed-loop control can be utilized for therapeutic benefit. Approach: We use physiological data to model afferent signaling in the vagus nerve that carries information about inflammation in the small intestine to the brain. Main results: The vagal nerve signaling system is distributed and complex; however, we propose a class of reductive models using a state-space formalism that can be tuned in a patient-specific manner. Significance: These models provide excellent fits to a large range of nerve recording data but are computationally simple enough for feedback control in implantable neuromodulat…

Author: O'Sullivan-Greene, Elma, Kameneva, Tatiana, Trevaks, David, Shafton, A...
Publication year: 2018
Publication type: Journal article (In press)
Status: Live|Last updated:14 August 2018 3:32 PM
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Lecture Notes in Computer Science: ‘Web Technologies and Applications’, APWeb 2012 International Workshops: SenDe, IDP, IEKB, MBC, Kunming, China, 11-13 April 11-13, 2012 / Hua Wang, Lei Zou, Guangyan Huang, Jing He, Chaoyi Pang, Hao Lan Zhang, Dongyan Zhao, Zhuang Yi (eds.)

This book constitutes the refereed proceedings of 4 international workshops held in conjunction with the 14th Asia-Pacific Web Conference, APWeb 2012, in Kunming, China, in April 2012 (see LNCS 7235). The 29 revised full papers presented were carefully reviewed and selected for presentation at the following 4 workshops: the 1st workshop on sensor networks and data engineering (SenDe 2012), the 1st international workshop on intelligent data processing (IDP 2012), the 1st international workshop on information extraction and knowledge base building (IEKB 2012), and the 3rd international workshop on mobile business collaboration (MBC 2012).

Author: Wang, Hua, Zou, Lei, Huang, Guangyan, He, Jing, Pang, Chaoyi, Zhang, H...
Publication year: 2012
Publication type: Conference proceedings
Status: Live|Last updated:14 August 2018 3:32 PM
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Irregularly timed electrical pulses reduce adaptation of retinal ganglion cells

Objective. Retinal prostheses aim to provide visual percepts to blind people affected by diseases caused by photoreceptor degeneration. One of the main challenges presented by current devices is neural adaptation in the retina, which is believed to be the cause of fading—an effect where artificially produced percepts disappear over a short period of time, despite continuous stimulation of the retina. We aim to understand the neural adaptation generated in retinal ganglion cells (RGCs) during electrical stimulation. Approach. Current visual prostheses use electrical pulses with fixed frequencies and amplitudes modulated over hundreds of milliseconds to stimulate the retina. However, in nature, neuronal spiking occurs with stochastic timing, hence the information received naturally from other neurons by RGCs is irregularly timed. We used a single epiretinal electrode to stimulate and compare rat RGC responses to stimulus trains of biphasic pulses delivered at regular and random inter-pulse intervals (IPI), the …

Author: Soto-Breceda, A., Kameneva, T., Meffin, H., Maturana, M., Ibbotson, M....
Publication year: 2018
Publication type: Journal article
Status: Live|Last updated:14 August 2018 3:32 PM
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Lecture Notes in Computer Science: ‘Health Information Science’, First International Conference, HIS 2012, Beijing, China, 8-10 April 2012 / Jing He, Xiaohui Liu, Elizabeth A. Krupinski, Guandong Xu (eds.)

This book constitutes the refereed proceedings of the First International Conference on Health Information Science, held in Beijing, China, in April 2012. The 15 full papers presented together with 1 invited paper and 3 industry/panel statements in this volume were carefully reviewed and selected from 38 submissions. The papers cover all aspects of the health information sciences and the systems that support this health information management and health service delivery. The scope includes 1) medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, optimize the use of information in the health domain, 2) data management, data mining, and knowledge discovery (in health domain), all of which play a key role in decision making, management of public health, examination of standards, privacy and security issues, and 3) development of new architectures and applications for health information systems.

Author: He, Jing, Liu, Xiaohui, Krupinski, Elizabeth A., Xu, Guandong
Publication year: 2012
Publication type: Conference proceedings
Status: Live|Last updated:14 August 2018 3:32 PM
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Lecture Notes in Computer Science: ‘Health Information Science’, Second International Conference, HIS 2013, London, United Kingdom, 25-27 March 2013 / Guangyan Huang, Xiaohui Liu, Jing He, Frank Klawonn, Guiqing Yao (eds.)

This book constitutes the refereed proceedings of the Second International Conference on Health Information Science, HIS 2013, held in London, UK, in March 2013. The 20 full papers presented together with 3 short papers, 3 demo papers and one poster in this volume were carefully reviewed and selected from numerous submissions. The papers cover all aspects of health information sciences and systems that support the health information management and health service delivery. The scope of the conference includes 1) medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyse, and optimize the use of information in the health domain, 2) data management, data mining, and knowledge discovery, all of which play a key role in the decision making, management of public health, examination of standards, privacy and security issues, and 3) development of new architectures and applications for health information s…

Author: Huang, Guangyan, Liu, Xiaohui , He, Jing, Klawonn, Frank, Yao, Guiqing
Publication year: 2013
Publication type: Conference proceedings
Status: Live|Last updated:14 August 2018 3:32 PM
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Social anxiety and eating disorder comorbidity and underlying vulnerabilities: Using network analysis to conceptualize comorbidity

Objective: Eating disorders (EDs) and social anxiety disorder (SAD) are highly co‐occurring. This comorbidity is extremely relevant, given that individuals with comorbid ED‐SAD are less likely to seek and/or benefit from ED treatment. Method: We used network analysis to conceptualize ED‐SAD comorbidity in a sample of 2,215 participants with a primary diagnosis of ED, SAD, or no known diagnosis. We used novel network analyses methods to select symptoms for our models, identify potential illness pathways (i.e., bridge symptoms) between disorders and underlying vulnerabilities (e.g., perfectionism, social appearance anxiety), and to compare across sample types (e.g., clinical vs. nonclinical). We also tested several novel network analyses methods aimed at the following methodological concerns: (a) topological concerns (i.e., which items should be included in NA models), (b) how to use empirical indices to quantify bridge symptoms and (c) what differences in networks across samples mean. Results: We found that di…

Author: Levinson, Cheri A., Brosof, Leigh C., Vanzhula, Irina, Christian, Caro...
Publication year: 2018
Publication type: Journal article (In press)
Status: Live|Last updated:14 August 2018 1:32 PM
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Electrospun one-dimensional nanostructures: A new horizon for gas sensing materials

Electrospun one-dimensional (1D) nanostructures are rapidly emerging as key enabling components in gas sensing due to their unique electrical, optical, magnetic, thermal, mechanical and chemical properties. 1D nanostructures have found applications in numerous areas, including healthcare, energy storage, biotechnology, environmental monitoring, and defence/security. Their enhanced specific surface area, superior mechanical properties, nanoporosity and improved surface characteristics (in particular, uniformity and stability) have made them important active materials for gas sensing applications. Such highly sensitive and selective elements can be embedded in sensor nodes for internet-of-things applications or in mobile systems for continuous monitoring of air pollutants and greenhouse gases as well as for monitoring the well-being and health in everyday life. Herein, we review recent developments of gas sensors based on electrospun 1D nanostructures in different sensing platforms, including optical, conductom…

Author: Imran, Muhammad, Motta, Nunzio, Shafiei, Mahnaz
Publication year: 2018
Publication type: Journal article
Status: Live|Last updated:14 August 2018 1:32 PM
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Lecture Notes in Computer Science: Proceedings of ‘Data Science', the Second International Conference (ICDS 2015) Sydney, Australia, 8-9 August 2015 / Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He (eds.)

This book constitutes the refereed proceedings of the Second International Conference on Data Science, ICDS 2015, held in Sydney, Australia, during August 8-9, 2015. The 19 revised full papers and 5 short papers presented were carefully reviewed and selected from 31 submissions. The papers focus on the following topics: mathematical issues in data science; big data issues and applications; data quality and data preparation; data-driven scientific research; evaluation and measurement in data service; big data mining and knowledge management; case study of data science; social impacts of data science.

Author: Zhang, Chengqi, Huang, Wei, Shi, Yong, Yu, Philip S., Zhu, Yangyong, T...
Publication year: 2015
Publication type: Conference proceedings
Status: Live|Last updated:14 August 2018 11:32 AM
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Efficiently retrieving longest common route patterns of moving objects by summarizing turning regions

The popularity of online location services provides opportunities to discover useful knowledge from trajectories of moving objects. This paper addresses the problem of mining longest common route (LCR) patterns. As a trajectory of a moving object is generally represented by a sequence of discrete locations sampled with an interval, the different trajectory instances along the same route may be denoted by different sequences of points (location, timestamp). Thus, the most challenging task in the mining process is to abstract trajectories by the right points. We propose a novel mining algorithm for LCR patterns based on turning regions (LCRTurning), which discovers a sequence of turning regions to abstract a trajectory and then maps the problem into the traditional problem of mining longest common subsequences (LCS). Effectiveness of LCRTurning algorithm is validated by an experimental study based on various sizes of simulated moving objects datasets.

Author: Huang, Guangyan, Zhang, Yanchun, He, Jing, Ding, Zhiming
Publication year: 2011
Publication type: Conference paper
Status: Live|Last updated:14 August 2018 11:32 AM
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