Context-aware hypermedia in a dynamically-changing environment, supported by a high-level Petri net

Author(s):  
Jin-Cheon Na ◽  
Richard Furuta
2021 ◽  
Vol 9 (1) ◽  
pp. 69-73
Author(s):  
N. Kudrevatyh ◽  
K. Frolova

The development of the region directly depends on the work of economic entities, especially if they belong to the basic industries of specialization. Kuzbass was remains industrial region. Therefore, for its development in modern conditions of an unstable and constantly changing environment, a high level of competitiveness of enterprises of the fuel and energy complex is required, to achieve which it is necessary to develop relevant directions for increasing the economic security of enterprises. One of these areas is the creation of the Kuzbass coal and energy cluster in the region. The effectiveness of the functioning of such a structure largely depends on competent management. In this paper, a model for managing a regional coal-energy cluster proposed using the example of the Kemerovo region - Kuzbass.


2021 ◽  
Vol 17 (4) ◽  
pp. 41-59
Author(s):  
Deeba K. ◽  
Saravanaguru R. A. K.

Today, IoT-related applications play an important role in scientific world development. Context reasoning emphasizes the perception of various contexts by means of collection of IoT data which includes context-aware decision making. Context-aware computing is used to improve the abilities of smart devices and is increased by smart applications. In this paper, context-aware for the internet of things middleware (CAIM) architecture is used for developing a rule-based system using CA-RETE algorithm. The objective of context-aware systems are concentrated on 1) context reasoning methodologies and analyzing how the technologies will involve enhancing the high-level context data, 2) framework of context reasoning system, 3) implementation of CA-RETE algorithm for predicting gestational diabetes mellitus in healthcare applications.


Author(s):  
Jie Sun ◽  
Yongping Zhang ◽  
Jianbo Fan

Driving is a complex process influenced by a wide range of factors, especially complex interactions between the driver, the vehicle, and the environment. This paper represents the complex situations in smart car domain. Unlike existing context-aware systems which isolate one context situation from another, such as road congestion and car deceleration, this paper proposes a context model which considers the driver, vehicle and environment as a whole. The paper tries to discover the inherent relationship between the situations in the smart car environment, and proposes a context model to support the representation of situations and their correlation. The detailed example scenarios are given to illustrate our idea.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 129376-129386 ◽  
Author(s):  
Zhijiao Xiao ◽  
Jianmin Jiang ◽  
Zhong Ming

2020 ◽  
Vol 1 ◽  
pp. 2551-2560
Author(s):  
J. Orlovska ◽  
C. Wickman ◽  
R. Soderberg

AbstractAdvanced Driver Assistance Systems (ADAS) require a high level of interaction between the driver and the system, depending on driving context at a particular moment. Context-aware ADAS evaluation based on vehicle data is the most prominent way to assess the complexity of ADAS interactions. In this study, we conducted interviews with the ADAS development team at Volvo Cars to understand the role of vehicle data in the ADAS development and evaluation. The interviews’ analysis reveals strategies for improvement of current practices for vehicle data-driven ADAS evaluation.


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