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Open accessJournal ArticleDOI: 10.1088/1757-899X/263/5/052054

Wireless alerting system using vibration for vehicles dashboard

01 Oct 2017-Vol. 263, Iss: 5, pp 052054
About: This article is published in Microelectronics Systems Education.The article was published on 2017-10-01 and is currently open access. The article focuses on the topic(s): Dashboard (business).

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Topics: Dashboard (business) (66%)
References
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Open accessJournal ArticleDOI: 10.5121/IJU.2010.1302
Abstract: This paper proposes an ontology modelling approach for assisting vehicle drivers through safety warning messages during time critical situation. Intelligent Driver Assistance System (I-DAS) is a major component of InVANET[12], which focuses on generating the alert messages based on the context aware parameters such as driving situations, vehicle dynamics, driver activity and environment. I-DAS manages the parameter representation, consistent update /maintenance in XML format while the interpretation of a critical situation is done using ontology modeling. Related safety technologies such as Adaptive Cruise Control, Collision Avoidance System, Lane Departure Warning System, Driver Drowsiness detection system, Parking Assistance System, which generate warnings and alerts to driver continuously, for assistance according to context which is integrated in Vehicle and Vehicle 2 Driver (V2D) communications by DVI(Driver Vehicle Interface) had been applied. The simulation test bed developed using Java framework[21] to generate safety alerts in various driving situations shows the usefulness of this approach. The response time graph for the simulation of context IDAS is depicted and analysed. The effective performance of the driving scenarios in various modes like day and night for single, 2-way and 4-way road scenario for the best, worst and average cases of simulation had been studied. The system works in VANET scenario, which needs to be adaptive for environment changes and to vary according to the context. The presented approach shows the simulation that can be implemented to all vehicles in real time scenario with promising results.

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59 Citations


01 Jan 2007-
Abstract: Dedication. Preface. Foreword Chapter 1. Introduction Chapter 2. Wi-Fi : architecture and functions. WLAN roadmap via 802.11 family evolution. IEEE 802.11 architecture. Different physical layers. Data link layer. Medium access control layer. Functions. Mobility. Security. The 802.11 family and its derivative standards. Wi-Fi and other technologies, concurrency or complementarity? Chapter 3. Bluetooth: architecture and functions. Introduction. Architecture and throughputs. Physical Layer and physical channels. Baseband Layer. LMP (Link Manager Protocol). L2CAP (Logical Link Control and Adaptation Protocol). RFCOMM protocol. SDP Service Discorvery Protocol. Profiles. HCI (Host Control Interface). NEP (Bluetooth Network Encapsulation Protocol). Conclusion. Chapter 4. IEEE 802.15.4 and ZigBee. General architecture. Physical layer. MAC layer. Security. Frame structures. ZigBee. Conclusion. Chapter 5. WiMAX (tm) and IEEE 802.16. Introduction. MAC layer. Physical layer. Chapter 6. Security in WLAN, WPAN, WSN and WMAN through Wi-Fi (tm), Bluetooth (tm), Zigbee(tm) and WiMAX(tm). Security in Wi-Fi systems. Security in Bluetooth systems. ZigBee Security. WiMAX and 802.16 security. Conclusion. Chapter 7. Practicing. Mastering the TinyOS platform. Practicing WiMAX equipment. Appendix A. Structure of 802.11 packets at various physical layers. Appendix B. 802.11MAC frames structure. Glossary. References.

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Topics: Data link layer (59%), Bluetooth (56%), Logical link control (56%) ...read more

52 Citations


Open accessJournal ArticleDOI: 10.3390/S16091517
J Faria, André Sousa1, Arsénio Reis1, Vitor Filipe  +1 moreInstitutions (1)
16 Sep 2016-Sensors
Abstract: The wide spread of food outlets has become an environmental and sanitation infrastructure problem, due to Fats, Oils and Grease (FOG). A grease box is used at the industrials facilities to collect the FOG, in a specific time window, while its quality is good for recycling (e.g., biodiesel) and it is economically valuable. After this period, it will be disposed at a cost. For the proper management of the grease boxes, it is necessary to know the quantity of FOG inside the boxes, which is a major problem, as the boxes are sealed and permanently filled with water. The lack of homogeneity of the FOG renders it not detectable by current probes for level detection in liquids. In this article, the design, development and testing of a set of probes for FOG level measurement, based on the principles used in sensors for the detection of liquids inside containers, is described. The most suitable probe, based on the capacitance principle, together with the necessary hardware and software modules for data acquisition and transmission, was developed and tested. After the development phase, the probe was integrated on a metropolitan system for FOG collection and grease box management in partnership with a grease box management company.

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Topics: Fog collection (54%), Grease (54%)

3 Citations