Nowadays, using Unmanned Aerial Vehicles (UAV) is applied to many applications such as rescue, streaming, monitoring. The UAVs' ability can provide flexibility and efficiency in the monitoring operation. However, ...
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ISBN:
(纸本)9781728192819
Nowadays, using Unmanned Aerial Vehicles (UAV) is applied to many applications such as rescue, streaming, monitoring. The UAVs' ability can provide flexibility and efficiency in the monitoring operation. However, this poses different challenges, including topology management, resource allocation, and energy consumption for both UAVs and sensor nodes. To address these challenges, this paper discusses applying the approach of Software Defined Networking (SDN) to Unmanned Aerial System for monitoring sensor data, which provide abilities to manage UAV and sensor networks through a centralized SDN controller. The paper presents an architecture framework of SD-UAV and sensor networking. The comparison is performed between the networks with and without using the SDN approach. The results show the efficiency of using SDN to increases the bandwidth and decrease packet loss.
This paper discloses a new fiber optic differential pressure sensor for liquid level measurement and control. The intended application is for US Navy use in automated shipboard machinery control and monitoring and dam...
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ISBN:
(纸本)0819418684
This paper discloses a new fiber optic differential pressure sensor for liquid level measurement and control. The intended application is for US Navy use in automated shipboard machinery control and monitoring and damage control systems. The sensor has been developed in response to the need for an inexpensive, yet rugged and reliable liquid level sensor, compatible with advanced automated control systems, and suitable for use in hostile and difficult environments. The sensor is developed from an existing commercial design of a low-finesse, short-cavity Fabry-Perot pressure sensor. The sensor consists of a glass micro-chip etched with a shallow, optical cavity capped by a pressure sensitive silicon diaphragm. The Fabry-Perot cavity is vented to the chip base so that a differential pressure can be developed across the diaphragm. The micro-chip is fused to the optical fiber and housed in a protective capillary tube. The differential pressure developed across the diaphragm changes the depth of the Fabry-Perot cavity. This is sensed by measuring the shift in the reflected spectrum of the source LED using a dichroic ratio technique. Experimental models of the sensors have been evaluated successfully on a US Navy test ship, the ex-USS SHADWELL. Since it is a true differential pressure sensor, it can be used in both pressurized and unpressurized fluid tanks. The sensor's performance and cost attributes should make this technology suitable for many industrial process and control applications.
The development of a wireless sensor microsystems containing all the components of data acquisition system, such as sensors, signal-conditioning circuits, analog-digital converter. embedded microcontroller (MCU), and ...
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ISBN:
(纸本)142440116X
The development of a wireless sensor microsystems containing all the components of data acquisition system, such as sensors, signal-conditioning circuits, analog-digital converter. embedded microcontroller (MCU), and RF communication modules has become now the focus of attention in many biomedical applications. This paper discusses innovation circuits and system techniques for building advanced smart medical devices (SMD). Low power consumption and high reliability are among the main criteria that must be given priority when designing such wirelessly powered Microsystems. Different capacitive readout circuits used for pressure sensing will be described. An example for a low power wireless system developed for multi-sensors monitoring will be presented.
Advances in sensor networking and location tracking technology enable location-based applications but they also create significant privacy risks. Privacy is typically addressed through privacy policies, which inform t...
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We investigate performance characteristics of secure group communication systems (GCSs) in mobile ad hoc networks that employ intrusion detection techniques for dealing with insider attacks tightly coupled with rekeyi...
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ISBN:
(纸本)9781424442331
We investigate performance characteristics of secure group communication systems (GCSs) in mobile ad hoc networks that employ intrusion detection techniques for dealing with insider attacks tightly coupled with rekeying techniques for dealing with outsider attacks. The objective is to identify optimal settings including the best intrusion detection interval and the best batch rekey interval under which the system lifetime (mean time to security failure) is maximized while satisfying performance requirements. We develop a mathematical model based on stochastic Petri net (SPN) to analyze tradeoffs between security and performance properties, when given a set of parameter values characterizing operational and environmental conditions of a GCS instrumented with intrusion detection tightly coupled with batch rekeying. We compare our design with a baseline system using intrusion detection integrated with individual rekeying to demonstrate the effectiveness.
Rapid developments in sensor technology and its applications have energized research efforts towards devising a firm theoretical foundation for sensor management. Ubiquitous sensing, wide bandwidth communications and ...
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ISBN:
(纸本)0819457981
Rapid developments in sensor technology and its applications have energized research efforts towards devising a firm theoretical foundation for sensor management. Ubiquitous sensing, wide bandwidth communications and distributed processing provide both opportunities and challenges for sensor and process control and optimization. Traditional optimization techniques do not have the ability to simultaneously consider the wildly non-commensurate measures involved in sensor management in a single optimization routine. Market-oriented programming provides a valuable and principled paradigm to designing systems to solve this dynamic and distributed resource allocation problem. We have modeled the sensor management scenario as a competitive market, wherein the sensor manager holds a combinatorial auction to sell the various items produced by the sensors and the communication channels. However, standard auction mechanisms have been found not to be directly applicable to the sensor management domain. For this purpose, we have developed a specialized market architecture MASM (Market architecture for sensor Management). In MASM, the mission manager is responsible for deciding task allocations to the consumers and their corresponding budgets and the sensor manager is responsible for resource allocation to the various consumers. In addition to having a modified combinatorial winner determination algorithm, MASM has specialized sensor network modules that address commensurability issues between consumers and producers in the sensor network domain. A preliminary multi-sensor, multi-target simulation environment has been implemented to test the performance of the proposed system. MASM outperformed the information theoretic sensor manager in meeting the mission objectives in the simulation experiments.
In this work we report on a computational study regarding the enhancement of the absorption of mid infrared (MIR) light for gas sensing applications. In order to address this goal, a photonic crystal ring resonator (P...
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In this work we report on a computational study regarding the enhancement of the absorption of mid infrared (MIR) light for gas sensing applications. In order to address this goal, a photonic crystal ring resonator (PCRR) with a quality factor of more than 3.85 x 10(5) was designed. The considered PCRR is based on 2D pillar type photonic crystals, which consist of a hexagonal array of silicon rods. The high quality factor of the cavity, along with strong overlap between the field of the resonant mode and the analyte (0.76) and low group velocity of PCRR modes consequence into enhance sensitivity for gas sensing. (C) 2017 Elsevier B.V. All rights reserved.
The aim of this study is to propose the real-time decision support system of storage reservoir introducing the advanced artificial intelligent methodologies of the neural network and the fuzzy theory.
ISBN:
(纸本)185312284X
The aim of this study is to propose the real-time decision support system of storage reservoir introducing the advanced artificial intelligent methodologies of the neural network and the fuzzy theory.
In order to increase Quality of Service (QoS) in 6G Wireless sensor Networks (WSNs), QoS-aware routing protocols have been proposed as a solution in the study. Existing systems have limitations such as inadequate perf...
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This paper presents the design and implementation of an automated defence system interface leveraging Arduino *** an era of evolving security threats, the development of automatic defense systems has become increasing...
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ISBN:
(纸本)9798331300579
This paper presents the design and implementation of an automated defence system interface leveraging Arduino *** an era of evolving security threats, the development of automatic defense systems has become increasingly *** abstract provides a concise overview of automatic defense systems, focusing on their technologies and *** defense systems encompass a wide range of technologies, including sensors, artificial intelligence, robotics, and communication *** systems are designed to detect, analyze, and respond to potential threats in real-time, minimizing human intervention and response *** components of automatic defense systems include sensor arrays for threat detection, data processing algorithms for threat analysis, and autonomous or semi-autonomous response *** core typically involves sensors (radar, lidar), a command-and-control system for threat evaluation, and countermeasures (missiles, lasers, guns).applications of automatic defense systems span various domains, including military, homeland security, critical infrastructure protection, and public *** systems offer enhanced situational awareness, rapid threat response, and scalability to adapt to evolving security *** technology continues to advance, the integration of emerging technologies such as machine learning, drones, and IoT further enhances the capabilities of automatic defense *** project "Design & Development of an Automatic Defense System for Warfare applications" focuses on creating a sophisticated, autonomous defense mechanism aimed at enhancing security and operational efficiency in military *** system integrates advancedsensor technologies, real-time data processing, and artificial intelligence to detect, identify, and neutralize potential threats with minimal human *** features include robust target recognition algorithms, adaptive threat response capabilities, and seamless in
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