An IoT Framework for Real-Time Event Detection and Acquisition Using Mobile Sink

Immediate service provisioning with real-time attention to a critical patient at remote locations is a challenging task for health care unit personnel. Several incidents remain unattended for long duration due to tracking difficulties to the exact place of event. During accidents, natural calamities, any kind of disaster, providing the basic services to the affected people is a great challenge to the persons present nearby the location. This requires a real-time event status report collection, monitoring condition, arrange and provision system in place. Similarly during critical situation of a patient in hospital if the user requires blood platelet and plasma from a different centre to current place, which may not possible due to heavy traffic in the locality. In this regard we propose a quadcopter based mobile sink to navigate to the place, track, monitor and inform to the remote server which can also be treated as an intra-city delivery model. A gamepad is used to control the quadcopter from the nearby place, its movement mechanism is controlled by the integration of different sensors and other components. Several applications have been used in our model to control the position of quadcopter, capture images through sensors and forward the information to the destination to achieve the objective of real time data acquisition and assistance at the unreachable place of the event, with minimal delay.

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When does variation indicate linguistic change in progress?

Journal of French Language Studies ◽

10.1017/s0959269500000776 ◽

1991 ◽

Vol 1 (1) ◽

pp. 1-19 ◽

Cited By ~ 14

Author(s):

William J. Ashby

Keyword(s):

Real Time ◽

Historical Record ◽

Time Data ◽

Negative Particle ◽

Linguistic Change ◽

Long Duration ◽

Linguistic Evidence ◽

Real Time Data

AbstractIt is argued that two variables of Modern French (the negative particle ne and the consonant l of clitic pronouns such as il) are indeed indices of ongoing linguistic change, even though this change appears to be of long duration. This conclusion is based not only on the distribution of the variables in a corpus of natural French discourse, but also on independent linguistic evidence, together with the available historical record. In the absence of adequate ‘real-time’ data, variationist analysis yielding synchronic, “apparent-time” data provides a useful means of charting the drift of the language.

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Non-real Time Data Transmission Mechanism with Mobile Sink in Cluster-Based Wireless Sensor Networks

2013 16th International Conference on Network-Based Information Systems ◽

10.1109/nbis.2013.63 ◽

2013 ◽

Cited By ~ 2

Author(s):

Kuo-Feng Huang ◽

Yi-Hsun Lin ◽

Shao-Wei Tsao ◽

Ying-Hong Wang

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Real Time ◽

Data Transmission ◽

Mobile Sink ◽

Transmission Mechanism ◽

Wireless Sensor ◽

Time Data ◽

Real Time Data

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Grid-Based Real-Time Data Gathering Protocol in Wireless Sensor Network with Mobile Sink

2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing ◽

10.1109/hpcc.and.euc.2013.123 ◽

2013 ◽

Cited By ~ 3

Author(s):

Wenjun Liu ◽

Jianxi Fan ◽

Shukui Zhang ◽

Yan Wang ◽

Yan Chu

Keyword(s):

Wireless Sensor Network ◽

Real Time ◽

Sensor Network ◽

Data Gathering ◽

Mobile Sink ◽

Wireless Sensor ◽

Time Data ◽

Real Time Data ◽

Grid Based

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Security Issues on Internet of Things in Smart Cities

Handbook of Research on Implementation and Deployment of IoT Projects in Smart Cities - Advances in Civil and Industrial Engineering ◽

10.4018/978-1-5225-9199-3.ch010 ◽

2019 ◽

pp. 149-164

Author(s):

C. Thilagavathi ◽

M. Rajeswari ◽

Sheethal M. S. ◽

Deepa Devassy ◽

Priya K. V. ◽

...

Keyword(s):

Real Time ◽

Smart Cities ◽

Heavy Traffic ◽

Time Data ◽

Unauthorized Access ◽

Central Processing ◽

Security Issues ◽

Traffic Congestion Control ◽

Authentication Security ◽

Security Analytics

Many researchers are focusing on IoT in smart cities. It invites researchers to concentrate on simplifying engineering challenges. IoT includes recognition, locating, tracking, monitoring, and management of devices in a reliable manner. There are numerous security challenges that include network security, authentication, security-side-challenge attacks, security analytics, interface protection, delivery mechanism, and system development. IoT needs security analytics to overcome a number of problems in smart cities to prevent unauthorized access. One among the security analytics is streaming analytics, which include all the real-time data streams to detect emergency situations. Threat detection and behavioral monitoring will be done after analyzing the traffic data. The aim is to analyze and predict real-time streaming data to achieve security. Different analytical tools on security will be used to obtain the optimal result in smart cities. Traffic analysis, which is treated as a real-time stream, will be applied in street and traffic lights, transportation, and parking space occupancy and so on. Large volume of data that are received from different sensors and cameras will be given as the input in order to analyze traffic in a smart cities. Intelligent traffic congestion control system will be developed in order to analyze the heavy traffic on roadside. Security in IoT is proposed, which includes encrypting and decrypting the user request, which is further to be processed by the central processing hub, in order to prevent unauthorized access.

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Ambulatory Assessment

European Psychologist ◽

10.1027/1016-9040.14.2.109 ◽

2009 ◽

Vol 14 (2) ◽

pp. 109-119 ◽

Cited By ~ 66

Author(s):

Ulrich W. Ebner-Priemer ◽

Timothy J. Trull

Keyword(s):

Real Time ◽

Clinical Psychology ◽

Real Life ◽

Ambulatory Assessment ◽

Computer Assisted ◽

Affective Valence ◽

Time Data ◽

Physiological Processes ◽

Context Specific ◽

Questionnaire Studies

Convergent experimental data, autobiographical studies, and investigations on daily life have all demonstrated that gathering information retrospectively is a highly dubious methodology. Retrospection is subject to multiple systematic distortions (i.e., affective valence effect, mood congruent memory effect, duration neglect; peak end rule) as it is based on (often biased) storage and recollection of memories of the original experience or the behavior that are of interest. The method of choice to circumvent these biases is the use of electronic diaries to collect self-reported symptoms, behaviors, or physiological processes in real time. Different terms have been used for this kind of methodology: ambulatory assessment, ecological momentary assessment, experience sampling method, and real-time data capture. Even though the terms differ, they have in common the use of computer-assisted methodology to assess self-reported symptoms, behaviors, or physiological processes, while the participant undergoes normal daily activities. In this review we discuss the main features and advantages of ambulatory assessment regarding clinical psychology and psychiatry: (a) the use of realtime assessment to circumvent biased recollection, (b) assessment in real life to enhance generalizability, (c) repeated assessment to investigate within person processes, (d) multimodal assessment, including psychological, physiological and behavioral data, (e) the opportunity to assess and investigate context-specific relationships, and (f) the possibility of giving feedback in real time. Using prototypic examples from the literature of clinical psychology and psychiatry, we demonstrate that ambulatory assessment can answer specific research questions better than laboratory or questionnaire studies.

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