DSHMP-IOT: A distributed self healing movement prediction scheme for internet of things applications

Zamanifar, Azadeh; Nazemi, Eslam; Vahidi-Asl, Mojtaba

doi:10.1007/s10489-016-0849-0

Cited by 11 publications

(6 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Things technology, related research on the Internet of Things has also become an important focus. Zamanifar et al proposed a distributed self-healing motion prediction scheme for IoT applications, namely, DSHMP-IOT, to predict the motion direction of mobile IP-based sensors in multiuser environments (such as healthcare systems) [1]. This is the first time that an AI solution has been applied to predict the direction of mobile nodes in an IP-based mobile network.…”

Section: Related Content With the Development Of The Internet Ofmentioning

confidence: 99%

Application of Posture Recognition Service System Based on Information Fusion Smart Sensor in Dance Training

Gao

2021

Journal of Sensors

View full text Add to dashboard Cite

With the development and extension of the Internet of Things technology, many fields have already involved the Internet of Things technology, and its application in dance training has gradually emerged. In order to guide dance training and solve the hidden dangers of dance training, this article mainly introduces the application of posture recognition service system based on information fusion intelligent sensor in dance training. This article uses human body detection, computer interactive Boosting algorithm calculations and establishes standard dance poses. The difference between the trainer’s posture and the standard posture can be clearly seen on the posture recognition service platform. The error is only less than 5%, and it can also help the trainer find their own mistakes in time. Dance and correct your posture in time, and it can reduce the error rate of difficult dances and reduce the error rate of 10%-20%. In addition, through the survey on the satisfaction survey of the security services of the gesture recognition service platform, the satisfaction rate is as high as 90%. Thereby, while ensuring safe training, the dance quality and level of trainers are improved.

show abstract

Section: Related Content With the Development Of The Internet Ofmentioning

confidence: 99%

Application of Posture Recognition Service System Based on Information Fusion Smart Sensor in Dance Training

Gao

2021

Journal of Sensors

View full text Add to dashboard Cite

show abstract

“…ZigBee is a remote monitoring, control and sensor network application technology. This design uses ZigBee to transmit the information collected by the sensor [19]- [21]. The delivery process will have four different directions, namely arm length, arm thickness, finger length and palm size, as shown in FIG.…”

Section: B: Zigbee Modulementioning

confidence: 99%

Application of Internet of Things Technology in 3D Medical Image Model

Pan

Yang

2019

IEEE Access

View full text Add to dashboard Cite

The Internet of Things technology has been used in many fields with its powerful functions, diverse forms, and advanced technologies. The Internet of Things technology can be connected with various technologies and models through the cognitive recognition layer, network construction layer, management service layer, and integrated application layer, to get better functionality. In order to make medical technology more advanced, the IoT technology is applied to the 3D medical image model to improve the treatment effect. First, 30 volunteers were selected to perform X-ray scanning on the human body through the sensor module to obtain the data. Then, the data were transmitted to the Geomagic Studio module through the ZigBee module, and the orthopedic rehabilitation device was adjusted to complete the establishment of the 3D model. Finally, the CAE finite-element analysis module is used to analyze the performance of the model, and the optimal structure is calculated to print the best 3D model. Then, the volunteers are tracked to integrate the data from the size and weight. The 3D printed models were investigated in eight aspects: adjustment, safety, durability, ease of use, comfort, and effectiveness. Finally, it is concluded that the application of the Internet of Things technology to the 3D medical image model can improve the convenience, safety, durability, and effectiveness of the 3D medical image model, thereby improving the overall medical level. INDEX TERMS Internet of Things technology, 3D printing, digitizing, finite element analysis.

show abstract

“…In object‐based modeling, classes are used to promote the concept of encapsulation and abstraction. An attempt is made to predict the direction of the mobile node(s) in an IP‐based mobile network using a hidden semi‐Markov model ( HSMM ) . The ontology‐based technique makes use of semantic technology and reasoning engine.…”

Section: Introductionmentioning

confidence: 99%

“…6 The graphical modeling uses relationship to model the data and has a tendency to hold maximum data. 8 The ontology-based technique makes use of semantic technology and reasoning engine. 7 In object-based modeling, classes are used to promote the concept of encapsulation and abstraction.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Context‐aware search optimization framework on the internet of things

Bharti

Kumar

Saxena

2018

Concurrency and Computation

View full text Add to dashboard Cite

The resource discovery on IoT paradigm requires to be efficient with respect to modeling, storage, processing, and validation of the gathered data. These requirements face challenges like interoperability, heterogeneity, etc, with respect to exponentially growing interconnected resources across distinct application domains and drastically changing search metrics. It leads resource discovery to emerge as a non-linear constrained-specific problem that need to be linearized for its optimization with reduced complexity. Keeping the perspective, a context-aware search optimization framework on the internet of things is introduced, which targets knowledge presentation through schema, discovery via a multi-modal search algorithm, and its optimization through an Iterative Gradient Descent algorithm. The multi-modal search algorithm through keywords, value or spatial-temporal indices performs resource discovery by finding the suited matches as a search set from a search-space. The search set is further evaluated via the iterative gradient descent algorithm for optimization through the usage of iterative and convergence properties of the gradient descent. The search efficiency is tested using various objective functions and resources on MATLAB and is compared with Newton and Quasi-Newton methods. The obtained results depict the efficiency of the algorithm graphically with reference to the searching time, such as validate the system performance. KEYWORDS electronic toll plaza, Internet of Things, iterative gradient descent, multi-modal search, resource discovery, search optimization INTRODUCTIONThe Internet of Things (IoT) paradigm is expected to have almost 212 billion resources, as reported by Gartner, 1 which require to be identifiable to communicate and to interact with each other. These resources are defined with context, ie, a set of inter-related events that share logical and timing relation among each other to provide relevant information such as location and type to characterize them. 2 The events belong to various stages such as data collection, processing, modeling, storage, reasoning, and validation. Each stage with respect to context has their own needs, models, and techniques, which are to be studied thoroughly.For the Context Collection, the IoT platform requires various type of sensors that are compatible with different applications. For example, a temperature tracking system is designed that uses a client-server architecture having a Raspberry Pi and system-on-a-chip (SoC) device. It senses the temperature and forwards it to the end user using an Android mobile application. 3 Another novel service, Social Internet of Things framework (SIoT)is proposed to enhance intelligence, for dynamic IoT service discovery in smart spaces, and is based on a cognitive reasoning approach. 4Moving to the Context Modeling, there exist various techniques such as key-value, mark-up scheme, graphical, logic-based, and ontology-based to model the gathered data. The key-value-based modeling technique creates text or binary file a...

show abstract

DSHMP-IOT: A distributed self healing movement prediction scheme for internet of things applications

Cited by 11 publications

References 46 publications

Application of Posture Recognition Service System Based on Information Fusion Smart Sensor in Dance Training

Application of Posture Recognition Service System Based on Information Fusion Smart Sensor in Dance Training

Application of Internet of Things Technology in 3D Medical Image Model

Context‐aware search optimization framework on the internet of things

Contact Info

Product

Resources

About