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Site survey cost has become a major deployment challenge for large-scale wireless systems. Some previous approaches require explicit user inputs to label the locations of crowdsourced signals, which is inconvenient in practice. Others may rely on intensively-calibrated specialized sensors. Furthermore, the locations of crowdsourced signals are usually random and sparse, making it difficult to build...
Internet of things (IoT) has provided a technological platform for purposeful connectivity. IoT allows smart devices and sensors to sense, connect and control the devices even remotely. The development in the field of Internet of Things has been enormous and the application of these solutions is scalable to high limits. The quantum of Internet of Things (IoT) is developing fast and is predicted to...
This paper presents an approach that combines Internet of Things (IoT) technologies and classification methods to improve efficient usage of power consumption. We focused on energy use of electronic devices on standby mode, which represent from 5 to 26% of power consumption in a home. The proposed approach aims at predicting situation in which devices on standby can be turned off, reducing power consumption...
The next technological disruption in the field of Internet of Things (IoT) is the predictive analytics on IoT. The predictive analytics on IoT not only helps us in achieving the goal of smart IoT devices but also reduces the time required to configure the IOT appliances. The branch of predictive analytics came into existence very recently after extensive research in the field of Data Analytics. Although...
In this paper, we present a framework for graph-based representation of relation between sensors and alert types in a security alert sharing platform. Nodes in a graph represent either sensors or alert types, while edges represent various relations between them, such as common type of reported alerts or duplicated alerts. The graph is automatically updated, stored in a graph database, and visualized...
To maximize spectrum access opportunities for white space devices, incorporating real-time spectrum sensing with geolocation database is a promising approach to enhance detection resolution. Advanced spectrum sensing techniques are needed to quickly and accurately identify spectrum occupancy over a wide frequency range. However, the stringent requirements from the wideband signal acquisition and processing...
In this paper, we present auto-encoder (AE), stacked auto-encoder (SAE) and sparse auto-encoder (SPAE) to classify gaits of horse riding for real riding coaching. The parameters of each auto-encoder are adjusted to compare the performance. The data is collected from 16 inertial sensors attached to a motion capture suit to construct a motion database. We build the motion features as the method of gaits...
The Internet of Things (IoT) involves the increasing prevalence of objects and entities with the ability to transfer data over the network automatically. The main problem of IoT software system is that the security has not always been considered. This study applies five security design patterns for the development of an IoT software system. The security issue of unsecure application data is addressed...
The paper deals with the problem of designing and implementing an inexpensive wide area sensors network for environmental radiological monitoring. To this aim, the measurement node takes advantage from a low-cost, Linux based, development platform, and some new open-source software tool, which are pushed towards a network-oriented vision of Internet of Things (IoT).
In this paper, we describe a spectrum access system (SAS) based Citizens Broadband Radio Service (CBRS) field trial using a live LTE network in the 3.5 GHz band. The latest WInnForum specification guided the implementation of the relevant protocols for SAS operation. Here, we evaluate the performance of a CBRS field trial by using one of the most important performance indicators in a spectrum sharing...
Due to the spread of smartphones and tablet devices, many photographs are uploaded and shared on the Internet. Cameras often have sensors such as GPS and digital compass. These sensor data are attached to photograph data as metadata. Metadata is helpful to retrieve photographs that show the designated points. For this request, existing systems search the photographs taken in constant distance from...
The Home automation plays an important role in modern lifestyle because of its access in using at different places with high quality which will intern save time by decreasing human work automatically. The home automation is electric devices stand alone and do not communicate; it is programmable, such as sensors remote controller and communication system. Home automation use for electronic control...
The Internet of Things (IoT) will connect billions of devices deployed around the world in a near future by embedding mobile network and processing power capabilities into a wide range of physical computing devices used in everyday life of many people. Recent studies concerning IoT have addressed not only the interoperability of devices, but also the context awareness feature which makes easy to discover,...
World wide road traffic fatality and accident rates are high, and this is true even in technologically advanced countries like the USA. Despite the advances in Intelligent Transportation Systems, safe transportation routing i.e., finding safest routes is largely an overlooked paradigm. In recent years, large amount of traffic data has been produced by people, Internet of Vehicles and Internet of Things...
In this paper, we present an intelligent system where agents can co-ordinate creative tasks through machine learning and cooperation. For machine learning, we used commonly used pattern recognition algorithm - Principal Component Analysis (PCA). Based on recognition, we plan a task that is performed by multiple intelligent agents. In our case, task is to draw a pattern or perform a creative art by...
The Network Intrusion Detection Systems (NIDS) are either signature based or anomaly based. In this paper presented NIDS system belongs to anomaly based Neural Network Intrusion Detection System (NNIDS). The proposed NNIDS is able to successfully recognize learned malicious activities in a network environment. It was tested for the SYN flood attack, UDP flood attack, nMap scanning attack, and also...
In this document is presented a study about TV White Spaces (TVWS) current state in Ecuador, how this can solve coverage problems in difficult to reach geographic zones in comparison with other kind of technologies, facilitating the access to basic services such as Internet and Smart Grids support. Later the adopted standards by FCC in order to design White Spaces Devices are mentioned and the TVWS...
To reduce the amount of CO2 produced from the personal cars in the world, the parking lot guidance systems are considered to be the solution in shopping malls or department stores in many countries. However, most of the current parking lot systems are located in the parking area of each shopping mall and they cannot show the parking lots information for the driver that are driving on the road. So,...
The Internet of Things (IoT) in all its essentiality is a collection of sensors bridged together tightly. The present day development in the technology industry has thus elevated the emphasis of large amounts of data. IoT is expected to generate and collect an enormous amount of data from varied locations very quickly. The concerns for features like storage and performance factors are coercing the...
In this paper we introduce a novel solution for real-time 3D hand gesture analysis using the embedded 2D camera of a mobile device. The presented framework is based on forming a large database of hand gestures including the ground truth information of hand poses and details of finger joints in 3D. For a query frame captured by the mobile device's camera in real time, the gesture analysis system finds...
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