Digital steganalysis: Computational intelligence approach

In this paper, we present a consolidated view of digital media steganalysis from the perspective of computational intelligence.In our analysis the digital media steganalysis is divided into three domains which are image steganalysis, audio steganalysis, and video steganalysis.Three major computational intelligence methods have also been identified in the steganalysis domains which are bayesian, neural network, and genetic algorithm.Each of these methods has its own pros and cons

A review of multi-car elevator system

This paper presents a review of a new generation of elevator system, the Multi-Car Elevator System. It is an elevator system which contains more than one elevator car in the elevator shaft. In the introduction, it explains why the Multi-Car Elevator System is a new trend elevator system based on its structural design, cost saving and efficiency in elevator system. Different types of Multi-Car Elevator System such as circulation or loop-type, non-circulation and bifurcate circulation are described in section 2. In section 3, researches on dispatch strategies, control strategies and avoidance of car collision strategies of Multi-Car Elevator System since 2002 are reviewed. In the discussion section, it reveals some drawbacks of the Multi-Car Elevator System in transport capability and the risk of car collision. There are recommendations to the future work as well

Fault Detection for Wireless Network Control Systems with Stochastic Uncertainties and Time Delays

The fault detection problem is investigated for a class of wireless network control systems which has stochastic uncertainties in the state-space matrices, combined with time delays and nonlinear disturbance. First, the system error observer is proposed. Then, by constructing proper Lyapunov-Krasovskii functional, we acquire sufficient conditions to guarantee the stability of the fault detection observer for the discrete system, and observer gain is also derived by solving linear matrix inequalities. Finally, a simulation example shows that when a fault happens, the observer residual rises rapidly and fault can be quickly detected, which demonstrates the effectiveness of the proposed method

Measuring the impact of haptic feedback in collaborative robotic scenarios

[EN] In recent years, the interaction of a human operator with teleoperated robotic systems has been much improved. One of the factors influencing this improvement is the addition of force feedback to complement the visual feedback provided by traditional graphical user interfaces. However, the users of these systems performing tasks in isolated and safe environments are often inexperienced and occasional users. In addition, there is no common framework to assess the usability of these systems, due to the heterogeneity of applications and tasks, and therefore, there is a need for new usability assessment methods that are not domain specific. This study addresses this issue by proposing a measure of usability that includes five variables: user efficiency, user effectiveness, mental workload, perceived usefulness, and perceived ease of use. The empirical analysis shows that the integration of haptic feedback improves the usability of these systems for non-expert users, even though the differences are not statistically significant; further, the results suggest that mental workload is higher when haptic feedback is added. The analysis also reveals significant differences between participants depending on gender.SIPublicación en abierto financiada por el Consorcio de Bibliotecas Universitarias de Castilla y León (BUCLE), con cargo al Programa Operativo 2014ES16RFOP009 FEDER 2014-2020 DE CASTILLA Y LEÓN, Actuación:20007-CL - Apoyo Consorcio BUCL

System of Terrain Analysis, Energy Estimation and Path Planning for Planetary Exploration by Robot Teams

NASA’s long term plans involve a return to manned moon missions, and eventually sending humans to mars. The focus of this project is the use of autonomous mobile robotics to enhance these endeavors. This research details the creation of a system of terrain classification, energy of traversal estimation and low cost path planning for teams of inexpensive and potentially expendable robots. The first stage of this project was the creation of a model which estimates the energy requirements of the traversal of varying terrain types for a six wheel rocker-bogie rover. The wheel/soil interaction model uses Shibly’s modified Bekker equations and incorporates a new simplified rocker-bogie model for estimating wheel loads. In all but a single trial the relative energy requirements for each soil type were correctly predicted by the model. A path planner for complete coverage intended to minimize energy consumption was designed and tested. It accepts as input terrain maps detailing the energy consumption required to move to each adjacent location. Exploration is performed via a cost function which determines the robot’s next move. This system was successfully tested for multiple robots by means of a shared exploration map. At peak efficiency, the energy consumed by our path planner was only 56% that used by the best case back and forth coverage pattern. After performing a sensitivity analysis of Shibly’s equations to determine which soil parameters most affected energy consumption, a neural network terrain classifier was designed and tested. The terrain classifier defines all traversable terrain as one of three soil types and then assigns an assumed set of soil parameters. The classifier performed well over all, but had some difficulty distinguishing large rocks from sand. This work presents a system which successfully classifies terrain imagery into one of three soil types, assesses the energy requirements of terrain traversal for these soil types and plans efficient paths of complete coverage for the imaged area. While there are further efforts that can be made in all areas, the work achieves its stated goals

Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm

Background/Purpose. In terms of the detection of tooth diagnosis, no intelligent detection has been done up till now. Dentists just look at images and then they can detect the diagnosis position in tooth based on their experiences. Using new technologies, scientists will implement detection and repair of tooth diagnosis intelligently. In this paper, we have introduced one intelligent method for detection using particle swarm optimization (PSO) and our mathematical formulation. This method was applied to 2D special images. Using developing of our method, we can detect tooth diagnosis for all of 2D and 3D images. Materials and Methods. In recent years, it is possible to implement intelligent processing of images by high efficiency optimization algorithms in many applications especially for detection of dental caries and restoration without human intervention. In the present work, we explain PSO algorithm with our detection formula for detection of dental caries and restoration. Also image processing helped us to implement our method. And to do so, pictures taken by digital radiography systems of tooth are used. Results and Conclusion. We implement some mathematics formula for fitness of PSO. Our results show that this method can detect dental caries and restoration in digital radiography pictures with the good convergence. In fact, the error rate of this method was 8%, so that it can be implemented for detection of dental caries and restoration. Using some parameters, it is possible that the error rate can be even reduced below 0.5%

Ubiquitous Monitoring of Electrical Household Appliances

The number of appliances at home is increasing continuously, mainly because they make our lives easier. Currently, technology is integrated in all objects of our daily life. TCP/IP let us monitor our home in real time and check ubiquitously if something is happening at home. Bearing in mind this idea, we have developed a low-cost system, which can be used in any type of electrical household appliance that takes information from the appliance and posts the information to the Twitter Social network. Several sensors placed in the household appliances gather the sensed data and send them wired or wirelessly, depending on the case, using small and cheap devices to a gateway located in the home. This gateway takes decisions, based on the received data, and sends notifications to Twitter. We have developed a software application that takes the values and decides when to issue an alarm to the registered users (Twitter friends of our smart home). The performance of our system has been measured taking into account the home network (using IEEE 802.3u and IEEE 802.11g) and the data publishing in Twitter. As a result, we have generated an original product and service for any electrical household appliance, regardless of the model and manufacturer, that helps home users improve their quality of life. The paper also shows that there is no system with the same innovative features like the ones presented in this paper.Lloret, J.; Macias Lopez, EM.; Suarez Sarmiento, A.; Lacuesta, R. (2012). Ubiquitous Monitoring of Electrical Household Appliances. Sensors. 12(11):15159-15191. doi:10.3390/s121115159S15159151911211Aiello, M., & Dustdar, S. (2008). Are our homes ready for services? A domotic infrastructure based on the Web service stack. Pervasive and Mobile Computing, 4(4), 506-525. doi:10.1016/j.pmcj.2008.01.002Chan, M., Estève, D., Escriba, C., & Campo, E. (2008). A review of smart homes—Present state and future challenges. Computer Methods and Programs in Biomedicine, 91(1), 55-81. doi:10.1016/j.cmpb.2008.02.001Groza, V. Z., Makrakis, D., Petriu, D. C., Georganas, N. D., & Petriu, E. M. (2000). Sensor-based information appliances. IEEE Instrumentation & Measurement Magazine, 3(4), 31-35. doi:10.1109/5289.887458Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787-2805. doi:10.1016/j.comnet.2010.05.010http://www.tuexperto.com/2012/01/15/rsg309-y-rf4289-dos-frigorificos-de-samsung-con-lcd-y-wi-fi/http://www.lg.com/global/press-release/article/lg-unveils-total-home-appliance-solution-empowering-consumers-to-smartly-manage-their-homes.jspPishva, D., & Takeda, K. (2008). Product-based security model for smart home appliances. IEEE Aerospace and Electronic Systems Magazine, 23(10), 32-41. doi:10.1109/maes.2008.4665323Kamilaris, A., Pitsillides, A., & Trifa, V. (2011). The Smart Home meets the Web of Things. International Journal of Ad Hoc and Ubiquitous Computing, 7(3), 145. doi:10.1504/ijahuc.2011.040115The Wi-Fi Body Scale Websitehttp://www.withings.com/en/bodyscaleXport Webpagehttp://www.lantronix.com/device-networking/embedded-device-servers/xport.htmlMatchport Webpagehttp://www.lantronix.com/device-networking/embedded-device-servers/matchport.htmlColección de circuitos de entrada/salidahttp://www.ucontrol.com.ar/wiki/index.php/Colecci%C3%B3n_de_circuitos_de_entrada/salida#RS-232_sin_integrados.2C_solo_con_componentes_discretosPressure Measurement Instrumentationhttp://www.sensorsone.co.uk/products/299/111/33X-High-Accuracy-Digital-Output-Pressure%20Sensor.htmlIntelligent Technology and Telecommunicationshttp://www.caveo.com.ar/s_temp__rs232.htmIntelligent Technology and Telecommunicationshttp://www.caveo.com.ar/sht-rs.htmPressure Measurement Instrumentationhttp://www.sensorsone.co.uk/products/299/133/41X-Low-Range-Digital-Output-Pressure-Sensor.htmlhttp://www.alibaba.com/product-gs/204770161/indoor_temperature_humidity_sensor_RS232_digital.htmlhttp://www.schallsensor.de/3_lei02_USS3_Uebersicht_e.pdfhttp://www.directindustry.com/prod/kimo/multi-function-panel-meters-pressure-air-velocity-and-air-flow-11846-379335.htmlhttp://www.directindustry.es/prod/ghm-messtechnik/aparatos-de-medicion-multifunciones-presion-velocidad-de-aire-y-humedad-relativa-13944-644947.htmlhttp://www.directindustry.es/prod/tenmarstenmars-electronics/aparatos-de-medicion-multifunciones-presion-velocidad-y-caudal-de-aire-31769-580973.htmlHumidity Temperature Flow Rate Measuring Devicehttp://www.greisinger.de/files/upload/en/produkte/kat/14.pdfAcmas Technocracy LTDhttp://www.measuring-meters.com/environment-testing-meters/multiple-function-weather-meter.phpTesto. Multi Function Instrumentshttp://www.esis.com.au/Testo/Testo-instruments.htm#MultiFunctionSystems. Hazmat Weather Stationhttp://www.climatronics.com/Web%20Manuals/M102647%20HAZMAT%20System%20(cable).pdfhttp://chinayehai.en.made-in-china.com/product/wMUnOxKbyNcC/China-6-in-1-Digital-Multifunction-Environment-Meter-Yh610.htmlhttp://www.superrobotica.com/S320122.htmhttp://www.lutron.com.tw/ugC_ShowroomItem_Detail.asp?hidKindID=1&hidTypeID=74&hidCatID=0&hidShowID=583&hidPrdType=&txtSrhData=The REST API for Twitterhttps://dev.twitter.com/docs/apiThe Home Page of XAMPhttp://www.apachefriends.org/es/xampp.htmlRaol, J. R., & Girija, G. (2002). Sensor data fusion algorithms using square-root information filtering. IEE Proceedings - Radar, Sonar and Navigation, 149(2), 89. doi:10.1049/ip-rsn:20020128Dong, J., Zhuang, D., Huang, Y., & Fu, J. (2009). Advances in Multi-Sensor Data Fusion: Algorithms and Applications. Sensors, 9(10), 7771-7784. doi:10.3390/s91007771Google Fusion Tables API Developer's Guidehttps://developers.google.com/fusiontables/docs/v1/getting_startedThe Home Page of Libcurl Libraryhttp://www.php.net/manual/es/intro.curl.ph

Routing schemes in FANETs: a survey

Flying ad hoc network (FANET) is a self-organizing wireless network that enables inexpensive, flexible, and easy-to-deploy flying nodes, such as unmanned aerial vehicles (UAVs), to communicate among themselves in the absence of fixed network infrastructure. FANET is one of the emerging networks that has an extensive range of next-generation applications. Hence, FANET plays a significant role in achieving application-based goals. Routing enables the flying nodes to collaborate and coordinate among themselves and to establish routes to radio access infrastructure, particularly FANET base station (BS). With a longer route lifetime, the effects of link disconnections and network partitions reduce. Routing must cater to two main characteristics of FANETs that reduce the route lifetime. Firstly, the collaboration nature requires the flying nodes to exchange messages and to coordinate among themselves, causing high energy consumption. Secondly, the mobility pattern of the flying nodes is highly dynamic in a three-dimensional space and they may be spaced far apart, causing link disconnection. In this paper, we present a comprehensive survey of the limited research work of routing schemes in FANETs. Different aspects, including objectives, challenges, routing metrics, characteristics, and performance measures, are covered. Furthermore, we present open issues

WEARABLE ROBOTIC SYSTEM FOR INTERACTIVE DIGITAL MEDIA

Master'sMASTER OF ENGINEERIN