A FIWARE-Based Component for Data Analysis in Smart Mobility Context

<p>High urban vehicle growth rate results in high traffic jam rate and makes the portrait of urban transportation dull. It is a challenge and an opportunity all at once to provide smart mobility system. Smart mobility is a mobility system enabling the arrival at destination through less mobility, move freely, and less travel time. This study aims to find out the implementation strategy in bringing Smart Mobility into Reality. The strategies used were firstly, diversification strategy, the synchronization and cooperation with Central and Provincial governments. Secondly, it is aggressive strategy involving the strategy of applying E-Gov through IT Development, strategy of reinforcing the integration between Transportation modes and strategy of developing Office Strategy Plan referring to Master plan of Smart City. The method employed was qualitative one. Techniques of collecting data used were FGD and data documentation, while data analysis was carried out using A Procedure for Data Analysis. The result of research showed that there is a diversification strategy including providing smart public transportation (BST and feeder) and agglomeration transportation (TransJateng). Meanwhile, aggressive strategy includes 1) the strategy of intensifying the application of e-Gov through and developing IT of public transportation in “buy the service” scheme using TEMAN bus application, 2) strategy of reinforcing integration between Transportation modes in the form of improving accessibility of public transportation (BST) with feeder and agglomeration transportation (TransJateng), and 3) improving smart mobility by improving service quality and accessibility of public transportation.</p>

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Can Big Data Analysis Make Cities Smarter? Emerging Issues and Stakeholder Implications in Smart Mobility

European Journal of Economics and Business Studies ◽

10.26417/ejes.v8i1.p23-28 ◽

2017 ◽

Vol 8 (1) ◽

pp. 23 ◽

Cited By ~ 1

Author(s):

Asst. Prof. Dr. Serkan Gürsoy ◽

Asst. Prof. Dr. Murat Yücelen

Keyword(s):

Big Data ◽

Data Analysis ◽

Smart Cities ◽

Academic Research ◽

Big Data Analysis ◽

Ongoing Debate ◽

Research Fields ◽

Emerging Issues ◽

Smart Mobility ◽

Applied Fields

This study deals with the challenges and bottlenecks with respect to the concept of smart cities which has largely been constructed on knowledge utilization issues and challenges. Despite the abundant existent literature in this field, the effective transformation of data into knowledge which can become a source of competitive advantage is still an ongoing debate, especially due to contemporary developments in big data analysis methods, approaches and strategies. As an emerging problem, the derivation of significant meaning from big data is among popular academic research fields, as well as being a crucial industrial and policy making engagement regarding value creating mechanisms in smart cities. Therefore in this study, limitations and challenges in translating big data into valuable knowledge in academia and industries are considered within the concept of smart mobility. In an attempt to propose researchers, business firms and governmental entities a collaborative approach, a perception about emerging issues is presented for clarifying some future constructs intersecting in relevant research and applied fields.

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Microchemical imaging in biomedical research

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100130225 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1118-1119

Author(s):

P. Ingram

Keyword(s):

Data Analysis ◽

Electron Probe ◽

The Other ◽

X Ray ◽

Cell Element ◽

Physiological Information ◽

Functional States ◽

Elemental Maps ◽

Electron Energy Loss ◽

Secondary Ion

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.

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Perceptions of a Collaborative Professional Learning Program: Seeing the “Bigger Picture”

Perspectives of the ASHA Special Interest Groups ◽

10.1044/2019_persp-19-00041 ◽

2020 ◽

Vol 5 (1) ◽

pp. 290-303

Author(s):

P. Charlie Buckley ◽

Kimberly A. Murza ◽

Tami Cassel

Keyword(s):

Data Analysis ◽

Professional Learning ◽

Social Communication ◽

Special Educators ◽

Service Providers ◽

Integrative Approach ◽

Theory Approach ◽

Learning Program ◽

Speech Language Pathologists ◽

Related Service

Purpose The purpose of this study was to explore the perceptions of special education practitioners (i.e., speech-language pathologists, special educators, para-educators, and other related service providers) on their role as communication partners after participation in the Social Communication and Engagement Triad (Buckley et al., 2015 ) yearlong professional learning program. Method A qualitative approach using interviews and purposeful sampling was used. A total of 22 participants who completed participation in either Year 1 or Year 2 of the program were interviewed. Participants were speech-language pathologists, special educators, para-educators, and other related service providers. Using a grounded theory approach (Glaser & Strauss, 1967 ) to data analysis, open, axial, and selective coding procedures were followed. Results Three themes emerged from the data analysis and included engagement as the goal, role as a communication partner, and importance of collaboration. Conclusions Findings supported the notion that educators see the value of an integrative approach to service delivery, supporting students' social communication and engagement across the school day but also recognizing the challenges they face in making this a reality.

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Communicative Performance of Adolescents with Severe Speech Impairment

Journal of Speech and Hearing Disorders ◽

10.1044/jshd.5403.403 ◽

1989 ◽

Vol 54 (3) ◽

pp. 403-421 ◽

Cited By ~ 7

Author(s):

Beth M. Dalton ◽

Jan L. Bedrosian

Keyword(s):

Data Analysis ◽

Peer Interactions ◽

Consistent Pattern ◽

Clinical Implications ◽

Speech Impairment ◽

Communication Mode ◽

Mode Function ◽

Communicative Performance ◽

Therapy Room ◽

Communication Board

The communicative performance of 4 preoperational-level adolescents, using limited speech, gestures, and communication board techniques, was examined in a two-part investigation. In Part 1, each subject participated in an academic interaction with a teacher in a therapy room. Data were transcribed and coded for communication mode, function, and role. Two subjects were found to predominantly use the speech mode, while the remaining 2 predominantly used board and one other mode. The majority of productions consisted of responses to requests, and the initiator role was infrequently occupied. These findings were similar to those reported in previous investigations conducted in classroom settings. In Part 2, another examination of the communicative performance of these subjects was conducted in spontaneous interactions involving speaking and nonspeaking peers in a therapy room. Using the same data analysis procedures, gesture and speech modes predominated for 3 of the subjects in the nonspeaking peer interactions. The remaining subject exhibited minimal interaction. No consistent pattern of mode usage was exhibited across the speaking peer interactions. In the nonspeaking peer interactions, requests predominated. In contrast, a variety of communication functions was exhibited in the speaking peer interactions. Both the initiator and the maintainer roles were occupied in the majority of interactions. Pertinent variables and clinical implications are discussed.

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