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The future of disease diagnostics and health care wearables lies in the development of low-cost sensors that can detect minute traces of pathogens or antigens from body fluids. Developments in nanotechnology and biomedical research have already shown us that a nanosensor can be specifically tailored to detect a specific biomolecule. These sensors would allow patients to run point of care diagnostic...
Sensor localization problem is one of the fundamental issues in Wireless Sensor Networks (WSN). In this paper, we investigate this problem and present an innovative Radio Interferometric Positioning System (RIPS) for WSN — Stochastic Radio Interferometric Positioning System with Unsynchronized Modulated Signals (SRIPS_UMS). To the best of our knowledge, we are the first to utilize unsynchronized modulated...
Classification of electrical loads presents multiple benefits. From the ability to inform customer how their appliances contribute to the overall electricity cost, to allowing electric companies and virtual aggregators to institute demand response mechanisms. In this paper we propose a new type of active sensing method which breaks down real-time data into fixed segments which can be quickly analyzed...
European market size for smart home systems is expected to grow by 20% to over 4.3 billion USD by 2017. This growth is mainly due to the development of luxury and premium markets towards a mass market. In 2014, more than one billion mobile devices with Google's operating system Android were sold, which resulted in a market share of more than 80%. Thus, mobile devices have already reached the mass...
In this paper, experiences and best practices from using containerized software microservices for self-driving vehicles are shared. We applied the containerized software paradigm successfully to both the software development and deployment to turn our software architecture in the vehicles following the idea of microservices. Key enabling elements include onboarding of new developers, both researchers...
This paper presents an Augmented Reality (AR) comprehensive assembly system for the multi-interactive creation of assembly processes. The special multimodal interface allows the presentation of not only new types of visual display but also interestingly designed voice instructions and material flow management. The system simulates many-sided and complicated assembly tasks in various areas of manufacturing...
This paper is focus on the progress of wearable technology in the area of human healthcare. It has been developed a small, low cost, low power consumption and open source wearable system that allows the monitoring of the human physical activities. One of the main reasons for developing this wearable system is to promote the sport activity and combat physical inactivity i.e. a sedentary lifestyle,...
Stochastic computing has been adopted in various fields to improve the power efficiency of systems. Recent work showed that DNN based on stochastic computing can greatly reduce the power consumption. However, stochastic computing has a limitation of high latency overhead as it computes values only one bit per cycle. This paper proposes a new scheme to improve the latency of DNN implementation based...
This paper presents a new technology for designing, simulation, implementation and validation of a driverless vehicle system with the use of the Arduino microcontroller, ultrasonic sensors and stepper motors are integrated to Lyapunov based control scheme. The goal is specifically to develop a driverless vehicle system which is able to move from an initial to target location in an obstacle free environment...
The design of software architecture is a higher level in the design process of software, which has surpassed the algorithm design and data structure design, and the purpose is to solve some problems in the design and description of the overall system structure. In this paper, the technology and modeling method of software architecture design are studied; the hierarchical structure, execution flow,...
In this paper, we have intended and delineated about discerning the white space in the spectrum which is precious. The Cognitive Radio is transpiring because of its idiosyncratic nature of exploiting the unused spectrum for various praxis. Initially, we have discerned the unused frequencies in the TV band which comprises from 585 to 698 MHz and in the FM band which comprises from 87.5 MHz to 108.0...
Compressive information acquisition is a natural approach for low-power hardware front ends, since most natural signals are sparse in some basis. Key design questions include the impact of hardware impairments (e.g., nonlinearities) and constraints (e.g., spatially localized computations) on the fidelity of information acquisition. Our goal in this paper is to obtain specific insights into such issues...
The Phoenix1 project aims to develop a new approach to explore unknown environments, based on multiple measurement campaigns carried out by extremely tiny devices, called agents, that gather data through multiple sensors. These low power and low resource agents are configured specifically for each measurement campaign to achieve the exploration goal in the smallest number of iterations. Thus, the...
Sensors are important components in the Internet of Things (IoT) that encompass a wide spectrum of applications from healthcare to monitoring critical infrastructure. Securely gathering sensor measurements by adopting traditional cryptographic mechanisms is fraught with vulnerabilities emanating from the inability to safeguard secrets on edge devices, often in adversarial environments, where appropriate...
We propose to demonstrate and obtain community feedback on the RadioHound system, a custom spectrum sensing network capable of tuning from 25 MHz to 6 GHz, which covers nearly all widely-deployed wireless activity. We describe the system hardware and network infrastructure in detail with a view towards driving the cost, size, and power usage of the sensors as low as possible.
The challenges to deal with to design a WSN node which can be used in safety-relevant application are, to the present day, still to be completely investigated and solved. Nevertheless, a prototype implementation is presented in this paper, with an emphasis on the chosen hardware architecture and components, highlighting the limitations imposed by specific choices. Furthermore, an example application...
The work deals with the healing of the coverage hole identified in a location unaware network using fuzzy logic. The hole identification is done based on the Delaunay Triangulation method and the Empty circle concept. The main contribution here is that the healing of the coverage hole is done on a location unaware network based on the energy, angle and distance of the nodes involved in the healing...
Ternary Content Addressable Memory (TCAM) executes a fully parallel search of its entire memory contents and uses powerful wild-card pattern matching to return search results in a single clock cycle. This capability makes TCAM attractive for implementing fast hardware look-up tables in network routers, processor caches, and many pattern recognition applications. However, the push for higher performance...
We demo VALERA, a Versatile-yet-lightweight Record- and-replay tool for Android. Record-and-replay is useful across the Android development lifecycle, from bug reproducing to systematic testing. VALERA uses a novel technique named sensor-oriented replay (recording and replay- ing sensor and network input, event schedules, and inter-app communication via intents) to achieve high accuracy and low overhead...
Solar Energy is most reliable and efficient renewable source for Electrical Power Generation. The electrical power output from the solar panel can effectively be obtained from Solar Photo Voltaic (SPV) Panels. Maximum Power Point Tracking is an algorithm to obtain maximum power from the solar panel effectively. The researchers employed various methods like Perturb & Observe method [1], Incremental...
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