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Decades of research have been directed towards improving the timing of traffic lights. The ubiquity of cell phones among drivers has created the opportunity to design new sensors for traffic light controllers. These new sensors, which search for radio signals that are constantly emanating from cell phones, hold the hope of replacing the typical induction-loop sensors that are installed within road...
This paper presents an effective method combining classic data processing using a simple MEMS inertial measurement unit (IMU) and an artificial neural network (AAN) to achieve more accurate pedestrian positioning. Generally, this application based on a standard IMU without support from another system, such as satellite navigation, is characterized by poorly estimating position and orientation, wherein...
Cognitive radio is the best solution for spectrum scarcity and spectrum underutilization over wireless communication challenges. It empowers secondary users to use primary user's spectrum without any interference. In this paper, a new approach of artificial neural network based spectrum sensing is proposed which senses the availability of a vacant channel in the primary user's spectrum and allocates...
Wearable watches provide very useful linear acceleration information that can be use to detect falls. Howeverfalls not from a standing position are difficult to spot amongother normal activities. This paper describes methods, basedon pattern recognition using machine learning, to improve thedetection of "soft falls". The values of the linear accelerometersare combined in a robust vector...
Cognitive radio (CR) is a recent technology to tackle the problem of radio spectrum scarcity. Successful spectrum sensing is fundamental in performance of CR networks; hence, a PSO-based weighting method is proposed in order to improve the functionality of machine learning techniques which are used with the aim of detecting the activity of secondary users in cooperative cognitive radio (CCR) networks...
Wristbands have been traditionally designed to track the activities of a single person. However there is an opportunity to utilize the sensing capabilities of wristbands to offer activity tracking services within the domain of team-based sports games. In this paper we demonstrate the design of an activity tracking system capable of detecting the players' activities within a one-to-one basketball game...
Fetal electrocardiogram (FECG) monitoring has become essential due to the current increase in the relative number of cardiac patients worldwide. This paper proposes to use a deep learning approach to compress/recover FECG signals, improving the computation speed in a telemonitoring system. The problem is analogous to the reconstruction of a non-sparse signal in compressive sensing (CS) framework....
Machine learning based approaches for spectrum sensing and spectrum occupancy prediction in cognitive radio applications appear to have attracted sufficient interest in the current literature. In this paper, K-mean clustering based unsupervised learning method has been adopted for the performance enhancement of cooperative spectrum sensing in generalized к-μ fading channels. Extensive simulation has...
This paper describes successful and cost effective design & implementation of PC-based SCADA training system for the natural gas transmission and distribution industry. The design provides robust and automated environment for centralized control of a geographically scattered process. Microcontroller based data acquisition (DAQ) control units for distributed data processing are designed and serially...
Real-time vital sensing/monitoring for persons during exercises is essential for not only avoiding injuries and diseases but also effective training. For the vital sensing, we have developed a heart rate sensing technique canceling motion artifact induced during exercise and an energy expenditure sensing technique using tri-axial accelerometer. On the other hand, for the wireless transmission, mainly...
In this paper, a methodology for a texture-based classification between sand and rock images will be proposed, and an object recognition algorithm is added for the sand images. Eighteen types of sand and rock textures have been used to extract different type of features which are hypothetically should help in the classification process. The features discrimination ability were tested and ranked using...
Prosthetic limbs are designed to provide the same or near functionality to the one provided by human limbs. This paper presents a mathematical model that describes the relationship between electromyography signals and the states of the hand's fingers. This model then was used to control a prosthetic hand using EMG signals. It was constructed using the logistic regression method which is a machine...
The raising number of elderly people urges the research of systems able to monitor and support people inside their domestic environment. An automatic system capturing data about the position of a person in the house, through accelerometers and RGBd cameras can monitor the person activities and produce outputs associating the movements to a given tasks or predicting the set of activities that will...
Rapid proliferation of numerous sensing technologies into mobile devices making them smarter than ever before. The smartphone is now better able to sense and keep record of various activities such as fitness level, mood detection, individual's drinking state, driving behavior, personal interests etc. Having such varied source of information can my smartphone really act as a recommender or as an assistant,...
Intrinsic image decomposition factorizes an observed image into its physical causes. This is most commonly framed as a decomposition into reflectance and shading, although recent progress has made full decompositions into shape, illumination, reflectance, and shading possible. However, existing factorization approaches require depth sensing to initialize the optimization of scene intrinsics. Rather...
Skills assessment in minimally invasive surgery (MIS) has been a challenge for training centers for long time. The emerging maturity of camera-based systems has the potential to transform solutions to problems in many areas, including MIS. The current assessment methods are mostly subjective or have limitations. In this work, we integrated and coordinated multiple camera sensors to work together to...
Animal species recognition is one area in which a limited amount of research has been undertaken. Especially in the pest control domain, basic primitive technologies are still used, such as identifying species in a tracking tunnel by capturing ink footprints on paper. These traps only differentiate various species by varying the baits used in the trap. This is not a reliable method.
In this paper, we propose a framework for a smart gym. The framework consists of a simple model and prototypes which can be implemented in a gym. The framework is basically an implementation of the smart city based on IOT. The foremost objective of the proposed framework is to develop an intrusive technology that will not only provide valuable and innovative services to the user by integrating the...
By leveraging online social networks as an underlying infrastructure, Social Participatory Network (SPN) has been becoming a new paradigm of participatory sensing systems. However, a significant barrier to the widespread use of SPN applications is their vulnerability to various forms of malicious attacks. Such threats inhibit human participation and thus the viability of SPN systems in everyday use...
Social media have become a primary communication channel among people and are continuously overwhelmed by huge volumes of User Generated Content. This is especially true in the aftermath of unpredictable disasters, when users report facts, descriptions and photos of the unfolding event. This material contains actionable information that can greatly help rescuers to achieve a better response to crises,...
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