scholarly journals Modelling Contextual Data for Smart Environments. Case Study of a System to Support Mountain Rescuers

2020 ◽  
pp. 273-287 ◽  
Author(s):  
Radosław Klimek
Keyword(s):  
Smart Environments ◽  
Contextual Data

scholarly journals Eavesmining: A Critical Audit of the Amazon Echo and Alexa Conditions of Use

2020 ◽  
Vol 18 (3) ◽  
pp. 343-356 ◽  
Author(s):  
Stephen Neville
Keyword(s):  
Data Mining ◽  
Discourse Analysis ◽  
Sound Studies ◽  
Smart Environments ◽  
End User ◽  
Digital Infrastructure ◽  
Acoustic Space ◽  
Personal Assistants ◽  
The Voice

The emergence of smart speakers and voice-activated personal assistants (VAPAs) calls for updated scrutiny and theorization of auditory surveillance. This paper introduces the neologism and concept of “eavesmining” (eavesdropping + data mining) to characterize a mode of surveillance that operates on the edge of acoustic space and digital infrastructure. In contributing to a sonic epistemology of surveillance, I explain how eavesmining platforms and processes burrow the voice as a medium between sound and data and articulate the acoustic excavation of smart environments. The paper discusses eavesmining in relation to theories of dataveillance, the sensor society, and surveillance capitalism before outlining the potential contributions offered by a theoretical alignment with sound studies literature. The paper centers on an empirical case study of the Amazon Echo and Alexa conditions of use. By conducting a discourse analysis of Amazon’s End User Agreements (EUAs), I provide evidence in support of growing privacy and surveillance concerns produced by Amazon’s eavesmining platform that are obfuscated by the illegibility of the documents.

scholarly journals Framework for propagating stress control message using heartbeat based IoT remote monitoring analytics

2020 ◽  
Vol 10 (5) ◽  
pp. 4615
Author(s):  
Eisha Akanksha
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Cost Effective ◽  
Learning Approach ◽  
Contextual Data ◽  
Aggregated Data ◽  
Machine Learning Approach ◽  
Close Relationship ◽  
Control Message

Abnormal level of stress is the root indicator factor to have significant impact over the health of heart and there is a close relationship between the stress levels with heart rate. Review of the existing literature showcase that there has been various work that has been carried out towards investigation of considering heart rate with an internet-of-things (IoT) system. Apart from this, existing system doesnt offer any instantaneous solution where certain intimation is offered in real-time to the user with wearables as a solution to control the stress condition. Therefore, the current paper introduces a novel framework where the sampled heart rates of the patients are captured by IoT deivices. The aggregated data are further forwarded to the cloud analytic system that uses correlation to extract the appropriate message. The system after being applied with teh machine learning approach could further extract the elite outcome followed by forwarding the contextual data to teh user. Using an analytical modelliig, the proposed system shows that it offers better accuracy and reduced processing time when compared with other machine learning approach and thereby it proves to be cost effective solution in IoT system over medical case study.

scholarly journals Improvement of Student Learning Outcomes through Use Google Classroom Media in Class VIII-4 Students MTsN 1 Kota Subulussalam

2020 ◽  
Vol 3 (2) ◽  
pp. 1182-1189
Author(s):  
Candra Sihotang ◽  
Abdul Hasan Saragih ◽  
Abdul Hamid K
Keyword(s):  
Qualitative Research ◽  
Student Learning ◽  
Learning Outcomes ◽  
Research Method ◽  
Student Learning Outcomes ◽  
Contextual Data ◽  
Data Presentation ◽  
Class Viii ◽  
Improve Student Learning

The purpose of this study is to improve student learning outcomes in Indonesian language lessons using google classroom media. The subjects of the study were students of class VIII-4 MTsN 1 Subulussalam City, totaling 32 people consisting of 14 men and 18 women. This research uses a case study qualitative research method. Data collection techniques using observation, tests, and documentation. Then contextual data is analyzed through procedures namely: data reduction, data presentation, and drawing conclusions. The results showed an increase in student learning outcomes in learning Indonesian. This can be seen from the increase in the percentage of student learning outcomes from before the action, cycle I, to cycle II. Before the action the number of students who reached the KKM was 56.25% or 18 people. In the first cycle there was an increase to 71.88% or 23 people. Then in the second cycle there was an increase to 87.50% or 28 students. It can be concluded that the use of the google classroom application can improve learning outcomes in Indonesian subjects in class VIII-4 MTSN 1 Subulussalam City in 2019/2020.

scholarly journals On the Modelling of Context-Aware Security for Mobile Devices

2016 ◽  
Vol 2016 ◽  
pp. 1-16
Author(s):  
Tomasz Zurek ◽  
Michail Mokkas ◽  
Bogdan Ksiezopolski
Keyword(s):  
Mobile Devices ◽  
Security Management ◽  
Context Aware ◽  
Security Measures ◽  
Formal Representation ◽  
Unexpected Events ◽  
Contextual Data ◽  
Decision Making Problem ◽  
User Actions

Security management in wireless networks has to deal with the changing character of the environment, which can further lead to decision making problem for unexpected events. Among a huge list of devices, the mobile ones are especially vulnerable to this situation. The solution for adapting systems and applications to dynamic environments can be context-aware description of the user actions, which gives a possibility to take into account the factors that influence these actions. In the article, we propose a context-aware security adjusting model, which is based on proposition logic and incorporates mechanisms that assist in the reasoning process. The main benefits that differentiate our approach from similar ones are a formal representation of the model, the usage of the whole spectrum of context attributes, the detection and analysis of contextual data integrity, and conflicting rules’ eradication capability. All these traits transcribe into a more effective way of adjusting security measures in accordance with existing circumstances. To illustrate the proposed approach, we present the case study of context-aware security management for mobile devices.

scholarly journals Salesperson adoption and usage of mobile sales configuration tools

2018 ◽  
Vol 20 (2) ◽  
pp. 168-190 ◽  
Author(s):  
Nodir Sanakulov ◽  
Sami Kalliomaa ◽  
Heikki Karjaluoto
Keyword(s):  
Primary Data ◽  
Structured Interviews ◽  
Contextual Data ◽  
Content Type ◽  
Personal Innovativeness ◽  
Study Approach ◽  
Media Channels ◽  
Business To Business ◽  
Further Development

PurposeThe purpose of this paper is to examine salespersons’ adoption and usage of mobile sales configuration tools (MSCT) and to identify areas for further development in this realm. Another objective is to offer a conceptualization of MSCT adoption.Design/methodology/approachFor this purpose, a qualitative case study approach was selected as the research method to better understand acceptance of a mobile configuration tool used by business-to-business (B2B) salespersons. Primary data were collected through semi-structured interviews, which included a series of open-ended questions to gain more detailed and contextual data.FindingsThe results obtained from the interviews indicated several important determinants of adoption of sales configuration tools, and three different personal innovativeness types were identified.Research limitations/implicationsThe current study has certain limitations that should be considered in future studies. First, the results of this study cannot be generalized in other contexts because of small number of participants (nine salespersons) included. Second, social desirability might have affected the results in a way that caused the salespersons to have been tempted to talk positively about MSCT.Practical implicationsBased on the findings several suggestions for managers and software developers are made such as further technical development of MSCT, development of common sales routine for all salespersons, mentoring new salespersons and establishing social media channels for salesperson to interact with each, share experience/knowledge.Originality/valueCurrent paper can serve as pathway toward understanding of MSCT adoption and usage as it opens new avenues as a source of hypotheses for a quantitative analysis of certain phenomena such as the correlation between MSCT usage and sales performance.

Context-Aware Service Modeling and Conflicts Discovery Based on Petri Net

2019 ◽  
Vol 10 (3) ◽  
pp. 74-91
Author(s):  
Tao Lu ◽  
Dan Zhao
Keyword(s):  
Side Effects ◽  
Petri Net ◽  
Smart Home ◽  
Smart Environments ◽  
Context Information ◽  
Context Aware ◽  
Service Execution ◽  
Service Modeling ◽  
Context Aware Service

In smart environments, context-aware service sense various kinds of context information and reacts automatically to adapt to changing circumstances. These adaptions may lead to context changes which trigger other services elsewhere in the environment and thus produce cascading reactions. Conflict adaptions or unexpected side effects may exist in this process. This article focuses on service conflicts related to frustrations in service execution and violations of the service's objective. A petri net-based approach is proposed to model and simulate context changes as well as services execution, and a conflicts discovery mechanism was built to detect potential conflicts. The case study of smart home scenarios shows how the method helps locate conflicts caused by different services, validating the effectiveness of the proposed approach.

scholarly journals Requirement engineering activities in smart environments for large facilities

2017 ◽  
Vol 14 (1) ◽  
pp. 239-255 ◽  
Author(s):  
Jorge Gomez-Sanz ◽  
Rafael Pax ◽  
Millán Arroyo ◽  
Marlon Cárdenas-Bonett
Keyword(s):  
Requirement Engineering ◽  
Smart Environments ◽  
Complex Task ◽  
Smart Environment ◽  
Multidisciplinary Collaboration

Developing a large, but smart environment is a complex task that requires the collaboration of experts of different disciplines. How to successfully attain such collaboration is not a trivial matter. The paper illustrates the problem with a case study where the manager of the facility intends to influence pedestrians so that they choose a task that requires certain effort, e.g. using staircases, instead of the current one that requires less effort, e.g. using the elevator. Defining requirements for such scenarios requires a strong multidisciplinary collaboration which is not currently well supported. This paper contributes with an approach to provide non-technician experts with tools so that they can provide feedback on the requirements and verify them in a systematic way.

IMPORTANCE OF CONTEXTUAL DATA IN PRODUCING HEALTH TECHNOLOGY ASSESSMENT RECOMMENDATIONS: A CASE STUDY

2018 ◽  
Vol 34 (1) ◽  
pp. 63-67 ◽  
Author(s):  
Thomas G. Poder ◽  
Christian A. Bellemare
Keyword(s):  
Literature Review ◽  
Health Technology Assessment ◽  
Systematic Literature Review ◽  
Technology Assessment ◽  
Health Technology ◽  
Outcome Data ◽  
Teaching Program ◽  
Level Of Evidence ◽  
Contextual Data

Objectives:Contextual data and local expertise are important sources of data that cannot be ignored in hospital-based health technology assessment (HTA) processes. Despite a lack of or unconvincing evidence in the scientific literature, technology can be recommended in a given context. We illustrate this using a case study regarding biplane angiography for vascular neurointervention.Methods:A systematic literature review was conducted, along with an analysis of the context in our setting. The outcomes of interest were radiation doses, clinical complications, procedure times, purchase cost, impact on teaching program, the confidence of clinicians in the technology, quality of care, accessibility, and the volume of activity. A committee comprising managers, clinical experts, physicians, physicists and HTA experts was created to produce a recommendation regarding biplane technology acquisition to replace a monoplane device.Results:The systematic literature review yielded nine eligible articles for analysis. Despite a very low level of evidence in the literature, the biplane system appears to reduce ionizing radiation and medical complications, as well as shorten procedure time. Contextual data indicated that the biplane system could improve operator confidence, which could translate into reduced risk, particularly for complex procedures. In addition, the biplane system can support our institution in its advanced procedures teaching program.Conclusions:Given the advantages provided by the biplane technology in our setting, the committee has recommended its acquisition. Contextual data were of utmost importance in this recommendation. Moreover, this technology should be implemented alongside a responsibility to collect outcome data to optimize clinical protocol in the doses of ionizing delivered.

scholarly journals Content Service Platform for Providing User-Centric Content in Smart Environments

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Joonseok Park ◽  
Dongwoo Lee ◽  
Keunhyuk Yeom
Keyword(s):  
Smart Cities ◽  
Smart Environments ◽  
Context Aware ◽  
Smart Environment ◽  
Service Platform ◽  
Specific Content ◽  
Heterogeneous Devices ◽  
Contextual Reasoning ◽  
Street Environment

Smart environments, such as smart cities and streets, contain various heterogeneous devices and content that provide information to users and interact with each other. In a smart environment, appropriate content should be provided based on the situations of users. Additionally, when a user is in motion, it is necessary to provide content in a seamless manner without interruption. A method for systematically controlling the delivery of such content is required. Therefore, we propose a content service platform to meet the needs discussed above. The content service platform supports the delivery of content and events between different devices, as well as the control of content. Context-aware technology can also be applied to support customized content. In this paper, we present an architectural model, a contextual reasoning process, and case study on applying content service platform to a smart street environment. The proposed content service platform applied as a base model to support the provision of user-specific content in smart environments.

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