2,954 resources related to Data Collection
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The 2019 International Conference on Computer Communication and Informatics (ICCCI 2019)aims to provide an outstanding opportunity for both academic and industrial communities aliketo address new trends, challenges and emerging technologies on topics relevant to today's fastmoving areas of Computer, Communication and Informatics. The conference will feature invitedtalks and referred paper presentations. The vision of ICCCI 2019 is to develop fostercommunication among researchers and practitioners with a common interest but working in awide variety of areas in communication and informatics.
2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)
Electrical Engineering, Academic and Industrial
JCDL encompasses the many meanings of the term "digital libraries", including (but not limited to) new forms of information institutions; operational information systems with all manner of digital content; new means of selecting, collecting, organizing, and distributing digital content; and theoretical models of information media, including document genres and electronic publishing. Digital libraries are distinguished from information retrieval systems because they include more types of media, provide additional functionality and services, and include other stages of the information life cycle, from creation through use. Digital libraries also can be viewed as a new form of information institution or as an extension of the services libraries currently provide.
Instrumentation and Measurement is necessary for all the science and technology research. No measurement, no science. Measurement is the bridge between science and real world. Instrument (including sensors) is the tool of measurement and the source of information system. The technical support from computer, communication and control is necessary for the development of intelligent, virtual, automatic, systematic and networked modern instrumentation. However, computer, communication and control also depend on the development of modern instrumentation and measurement. Computer, Communication, Control, and Instrumentation&Measurement are interactive and promoted each other. The goal of this conference is to provide opportunities for researchers and engineers to contact with each other and academic exchange platform to facilitate discipline individual development and fusion of each other.
all related areas of Intelligent Control and Automation
No periodicals are currently tagged "Data Collection"
Software Quality: Concepts and Practice, None
The software product metrics is classified into software product size metrics and software attributes metrics. The process of applying a metric or set of metrics is similar to the implementation of new procedures or methodologies. The statistically analyzed metrics data provides opportunities for comparing a series of project metrics. Software quality assurance and software engineering professionals distinguished between software product ...
Enabling 5G Communication Systems to Support Vertical Industries, None
This chapter focuses on the 5G key concepts and how they can be extremely beneficial in supporting the advanced smart grid services. It introduces the smart grid environment and discusses some of the future services that will be supported in the future smart grids. These services are broadly classified into two categories, namely data collection and management services that target ...
Network Modeling and Simulation: A Practical Perspective, None
IBM Journal of Research and Development, 2018
Person-generated health data (PGHD) generated by wearable devices and smartphone applications are growing rapidly. There is increasing effort to employ advanced analytical methods to generate insights from these data in order to help people change their lifestyle and improve their health. PGHD—such as step counts, exercise logs, nutritional diaries, and sleep records—are often incomplete, inaccurate, and collected over too short ...
2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS), 2018
One of the basic limitations of a non-rechargeable battery powered wireless sensor network (WSN) is the lack of energy efficiency, which retards the network lifetime (NL). In this paper, Ant Colony optimization based MAC (ACO- MAC) protocols, which jointly exploits residual energy information (REI) and channel state information (CSI) of sensor nodes for NL maximization is proposed. REI comprises of ...
TechNews: Big Data
Fengrui Shi: OppNet: Enabling Citizen-Centric Urban IoT Data Collection Through Opportunistic Connectivity Service: WF-IoT 2016
Daniel Engels: Security in IoT Begins With Data - Industry Forum Panel: WF IoT 2016
26th Annual MTT-AP Symposium and Mini Show - Dr. Rob Holland
Collection, Modeling & Interpretation of Mobile Sensor Big Data - Santosh Kumar - IEEE EMBS at NIH, 2019
Modeling Individualized Health Course Trajectories - Eric Schadt - IEEE EMBS at NIH, 2019
Panel: Integrating POC Testing for HLBS Diseases into Clinical Care - IEEE EMBS at NIH, 2019
Thoughts on “POC” in the Digital Era - Keynote Robert Califf - IEEE EMBS at NIH, 2019
Interview with Lauriston Taylor
Interview with John Backus
Interview with Clarence Larson, part 2
Interview with Robert C. Seamans, part 2
Interview with Herb York
Smarter Smartphone Imaging - Erik Douglas - IEEE EMBS at NIH, 2019
Interview with Clarence Larson
Interview with Ken Davis
Interview with Carl Hammar
Interview with Robert Larson, part 2
Interview with Clarence Larson, part 1
The software product metrics is classified into software product size metrics and software attributes metrics. The process of applying a metric or set of metrics is similar to the implementation of new procedures or methodologies. The statistically analyzed metrics data provides opportunities for comparing a series of project metrics. Software quality assurance and software engineering professionals distinguished between software product metrics and software process metrics. The function point (FP) method estimates of development resources, based entirely on the software requirement specification, can be prepared at the preproject stage and can, therefore, support the management in its project proposal and preparation efforts. A comprehensive presentation of software product metrics is presented in three parts of the ISO/IEC TR 9126. The ISO/IEC technical reports relate to 10 attributes of software products: software functionality, software reliability, software usability, software efficiency, software maintainability, software portability, software effectiveness, software productivity, software safety, and software satisfaction.
This chapter focuses on the 5G key concepts and how they can be extremely beneficial in supporting the advanced smart grid services. It introduces the smart grid environment and discusses some of the future services that will be supported in the future smart grids. These services are broadly classified into two categories, namely data collection and management services that target enhanced grid monitoring capabilities, and control and operation services that deal with demand side management and electric vehicle charging and discharging coordination. The chapter illustrates how the 5G novel concepts such as software‐defined networking, network virtualization, and cloud computing offer enhanced services for grid monitoring, data processing, demand‐side management, and electric vehicle charging and discharging coordination. It also illustrates a summary of the application of these concepts in supporting the smart grid services. Future research directions are discussed to deal with the open challenging issues.
Person-generated health data (PGHD) generated by wearable devices and smartphone applications are growing rapidly. There is increasing effort to employ advanced analytical methods to generate insights from these data in order to help people change their lifestyle and improve their health. PGHD—such as step counts, exercise logs, nutritional diaries, and sleep records—are often incomplete, inaccurate, and collected over too short a duration. Insufficient user engagement with wearable and mobile technologies, as well as lack of sensor validation, standardization of data collection, transparency of data processing assumptions, and accessibility to relevant data from consumer-grade sensors, also negatively affects data quality. The literature on data quality for PGHD is sparse and fragmented, providing little guidance to data analysts on how to assess and prioritize data quality concerns. In this paper, we summarize our experiences as data analysts working with PGHD, outline some of the challenges in using PGHD for insight generation, and discuss some established methods for addressing these challenges. We review the literature on PGHD data quality, identify the major stakeholders in the PGHD ecosystem, and apply an established data quality framework to present the most relevant data quality challenges for each stakeholder.
One of the basic limitations of a non-rechargeable battery powered wireless sensor network (WSN) is the lack of energy efficiency, which retards the network lifetime (NL). In this paper, Ant Colony optimization based MAC (ACO- MAC) protocols, which jointly exploits residual energy information (REI) and channel state information (CSI) of sensor nodes for NL maximization is proposed. REI comprises of residual energy (E) of sensor nodes whereas CSI comprises of fading (h) and channel gain (G) of sensor nodes. ACO-MAC protocols employ a dual combination of h, G and E of sensor nodes for distributed transmission scheduling in the network. Case (i). both h and E are considered-ACO-MAChE protocol, Case (ii). both h and G are considered-ACO- MAChG protocol and Case (iii). both E and G are considered-ACO-MACEG protocol. In each case, optimal sensor scheduling is done on the basis of path probability selection of ACO algorithm. Simulation results show that, ACO-MAC protocol employing h-E transmission scheme is performing better in terms of network lifetime, energy conservation and throughput as compared to ACO-MAC protocol employing h-G and E-G transmission schemes.
This article consists of a collection of slides from the author's conference presentation.
In the past research, Document Frequency (DF) has been validated to be a simple yet quite effective measure for feature selection in text classification. The calculation is based on how many documents in a collection contain a feature, which can be a word, a phrase, a n-gram, or a specially derived attribute. The counting process takes a binary strategy: if a feature appears in a document, its DF will be increased by one. This traditional DF metric concerns only about whether a feature appears in a document, but does not consider how important the feature is in that document. Obviously, thus counted document frequency is very likely to introduce much noise. Therefore, a weighted document frequency (WDF) is proposed and expected to reduce such noise to some extent. Extensive experiments on two text classification datasets demonstrate the effectiveness of the proposed measure.
It is predicted that the current manual collection of crockery will gradually be replaced by the self-return of used utensils in order to reduce the manpower needs in Singapore. However, no existing methods are available to quantify service level of the cleaning staff and optimize manpower needs for food courts in Singapore. To measure the range of service level provided by cleaners during peak hour in food courts in Singapore, a Service Level Quantifying (SLQ) model is proposed in this paper by investigation of the relationship between customers' return rate, the seating capacity at peak hours and the general efficiency of cleaning staff. Monte Carlo method was applied to further refine the proposed SLQ model. The results obtained via this model are consistent with the observations at NUS canteens as there are rare occurrences of buffer overflow at the collection points. This model can be used by food court managers and the National Environmental Agency of Singapore (NEA) to effectively plan and simulate manpower needs before their on-site deployment.
In smart cities, the mobility of vehicles can be used to collect data produced by connected objects and to deliver them to several applications which are delay tolerant. The Vehicular Delay Tolerant Networks (VDTN) can be utilized for such services. This paper introduces DC4LED (Data Collection for Low Energy Devices): a hierarchical VDTN routing which takes advantage of the specific mobility patterns of the various type of vehicles. It provides a low- cost delivery service for applications that need to gather data produced from the field. The idea is to propose a simple routing scheme where cars, taxis, and buses route data hierarchically in a store-carry-forward mechanism to any of the several available Internet Point-of-Presences in the city. This paper aims to explore the possibility of implementing a very simple mechanism for very simple services, as opposed to utilizing complex VDTN mechanisms proposed in the literature. Our simulations compare the performance of DC4LED routing with two legacy VDTN routing schemes which represent the extreme ends of VDTN routing spectrum: First-contact and Epidemic routing. It show that DC4LED has much lower network overhead in comparison with the two legacy routing schemes, which is advantageous for its implementation scalability. The DC4LED also maintains comparable data delivery probability and latency to Epidemic routing.
Large-scale software development succeeds more often when using agile methods. Flexible scope, frequent deliveries to production, a high degree of requirement changes and more competent providers are possible reasons.
No standards are currently tagged "Data Collection"