A Survey on Underwater Acoustic Sensor Network Routing Protocols

Underwater acoustic sensor networks (UASNs) have become more and more important in ocean exploration applications, such as ocean monitoring, pollution detection, ocean resource management, underwater device maintenance, etc. In underwater acoustic sensor networks, since the routing protocol guarantees reliable and effective data transmission from the source node to the destination node, routing protocol design is an attractive topic for researchers. There are many routing algorithms have been proposed in recent years. To present the current state of development of UASN routing protocols, we review herein the UASN routing protocol designs reported in recent years. In this paper, all the routing protocols have been classified into different groups according to their characteristics and routing algorithms, such as the non-cross-layer design routing protocol, the traditional cross-layer design routing protocol, and the intelligent algorithm based routing protocol. This is also the first paper that introduces intelligent algorithm-based UASN routing protocols. In addition, in this paper, we investigate the development trends of UASN routing protocols, which can provide researchers with clear and direct insights for further research

A multi functional plug-in for exergames

This paper describes the development of a software complement for Blender (a freely available animation software) which allows to insert motion data obtained from a motion capture camera device. The main target is to provide Blender with a tool to develop exergames, i.e. serious games for performing physical exercises, which are fully adaptive to the user?s needs and capabilities, especially addressing chronical patients or handicapped. The plugin incorporates both: motion control and recording, allowing to store user movements. Transmission is realized via the OSC (Open Sound Control) protocol. The tool is still under development, here a first version is presented showing its functionalities in a demo-game. In the future, sensor data from other devices is planned to be integrated

Seguimiento automático para RGB y detección de objetos en color

Este artículo muestra un algoritmo de seguimiento (tracking) para RGB (red, green, blue) con un enfoque aplicativo para sistemas de video-vigilancia. Se ha desarrollado los procedimientos de segmentación, detección y finalmente el seguimiento así como la integración de información virtual en un ambiente real. Diversas pruebas experimentales se han realizado basadas en la propuesta de estimaciones de detección a través de comparación de longitud de onda del color y la distancia, así como considerando criterios utilizados en la literatura de precisión, rendimiento y valoración global de la correcta detección. Finalmente se ha podido comprobar que existe un rendimiento de detección a través de longitudes de onda del 83% así como una estimación de la métrica de precisión de la detección de 0.882, lo que permite demostrar una eficiente detección en el seguimiento a través algoritmo propuesto. ABSTRACT.– This paper presents a RGB (red, green, and blue) algorithm in surveillance systems. Segmentation, detection, tracking and integration of virtual information has been implemented in the real environment. Experiments of comparing between color wave length and distance have been made. In addition, the criteria of recall, accuracy detection, F-measure are used to evaluate the accuracy of detections. Finally, we have obtained a good performance through length wave detection of 83% and F-measure of 0.882, these results confirm an accurate detection in the tracking through our algorithm

MoKey - A motion based keyboard interpreter

In this paper the authors present a new middleware for mapping gestures, obtained by a motion sensing camera device, to key events which are consumed by a standard off-the-shelf application. The aim is twofold: accessibility for users which are not able to use the keyboard because of physical impairments and the use of standard games for doing physical exercises. Hereby, special attention is laid on the adaptability to user requirements and easiness of configuration for the user himself and non-expert assistants. The actual state of our system is compared to similar proposals in terms of usability and performance, finally future working directions are outlined

Computer Vision - false face detection in the tracking

The following work focuses on the tracking process for obtain face detection and tracking of faces, as part of the computer vision. To complete this study, the tracking and facial recognition process by the software tool MATLAB and the Viola-Jones algorithm will be developed. Once the codification has been developed, the results are assessed and the performance of the created script has been verified. Also an important factor for mention is the control of rate error of the false faces recognition. Also we show a methodology for evaluate the algorithms efficiency. Finally the different conclusions are made in relation the results obtained

Probability Model Based Energy Efficient and Reliable Topology Control Algorithm

Topology control is an effective method for improving the performance of wireless sensor networks (WSNs). Many topology control algorithms can achieve high energy efficiency by dynamically changing the transmission range of nodes. However, these algorithms prefer to choose short multihop communication links rather than the long directly communication links which also energy efficient probabilistic. Note that these fact, in this paper, we propose a mathematic model to explore the probability that the long directly communication links are more energy efficient than the short links. We investigate the properties of this probability and find out the optimal transmission range which has highest probability of energy efficient. Based on this conclusion, we propose the energy efficient and reliable topology control algorithm (ERTC) to maintain the r-range for the nodes instead of the k-connection; moreover, ERTC can achieve energy efficient and network connection at the same time

Probability of Interference-Optimal and Energy-Efficient Analysis for Topology Control in Wireless Sensor Networks

Because wireless sensor networks (WSNs) have been widely used in recent years, how to reduce their energy consumption and interference has become a major issue. Topology control is a common and effective approach to improve network performance, such as reducing the energy consumption and network interference, improving the network connectivity, etc. Many topology control algorithms reduce network interference by dynamically adjusting the node transmission range. However, reducing the network interference by adjusting the transmission range is probabilistic. Therefore, in this paper, we analyze the probability of interference-optimality for the WSNs and prove that the probability of interference-optimality increases with the increasing of the original transmission range. Under a specific transmission range, the probability reaches the maximum value when the transmission range is 0.85r in homogeneous networks and 0.84r in heterogeneous networks. In addition, we also prove that when the network is energy-efficient, the network is also interference-optimal with probability 1 both in the homogeneous and heterogeneous networks

A modular middleware approach for exergaming

This paper presents the design of a new exergaming environment consisting of a modular middleware tool aimed at serving for intelligent adventure games. The middleware provides a modular and user-adaptive interface for data exchange between different devices (to date it supports a motion capture camera, a mobile phone, and a VR headset) and Blender. The target group is formed by young people between ages 6 to 26 with different physical diseases (muscular dystrophy, cerebral palsy, accidents, etc.). The gaming environment focuses especially on user awareness, immersion, and adaptability to special needs

Fast facial expression recognition for emotion awareness disposal

This paper presents a simple and fast expression recognition algorithm aimed at running in a secondary plane to provide emotion awareness for primary applications as e.g. exergames, in real time. The algorithm is based on the extraction of 19 facial landmarks which are used to detect some of the Action Units (AUs) defined in the Facial Action Coding System (FACS) and a newly created one. In addition, the new concept of Combined Action Units (CAUs) is presented. Those are grouped AUs which are detected as a unit. The applied emotion classification is based on logical rules, no learning is involved. First implementations have been made on a mobile platform

New technologies for analysis of business intelligence. Practical cases

New internet-based technologies are transforming the business model around the world. The use of new competitive watch and intelligence platforms is discussed. We review the information sources used in combination with other data (e.g., financial and technological data) to create intelligence. Analytical tools allow the detection of connections between data so that the company can identify changes, adapt products to new customers, or anticipate market movements. Three practical cases are presented using the VicuboCloud solution to collect and analyze information for decision-making