{"title":"Submarine port egress and ingress navigation using video processing","authors":"Twain C. Glaser, N. Nino, K. Kramer, S. Stubberud","doi":"10.1109/WISP.2015.7139153","DOIUrl":"https://doi.org/10.1109/WISP.2015.7139153","url":null,"abstract":"The U.S. Navy is interested in video-based navigation to ingress and egress harbors for their submarines. The implementation of such a navigation solution requires several components of image processing. One of these components is image tracking when the image being tracked is changing orientation and size. To implement this tracking, an image correlation technique that adjusts the template has been investigated as part of an undergraduate research effort. The ability to track an object, or target, while it is moving in the field of view allows for a navigation solution to be computed. The approach used is based on an image-correlation technique known as a phase-only filter. Standard image correlation utilizes the frequency domain by use of two-dimensional complex Fourier transforms. In phase-only filtering, the magnitude is normalized and results use only the phase information, which has shown to provide clearer identification than the standard fast-Fourier transform approach. In this research, phase-only filtering correlation is expanded to video imaging and used to track objects through a series of frames. As the image in the scene changes, the template is updated. In this application, the target tracking in the video image is performed in real time. The solution can be implemented to provide real-time results while accurately measuring and tracking the path of an object through a scene.","PeriodicalId":215867,"journal":{"name":"2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121885576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammed Faeik Ruzaij, S. Neubert, N. Stoll, K. Thurow
{"title":"Design and testing of low cost three-modes of operation voice controller for wheelchairs and rehabilitation robotics","authors":"Mohammed Faeik Ruzaij, S. Neubert, N. Stoll, K. Thurow","doi":"10.1109/WISP.2015.7139172","DOIUrl":"https://doi.org/10.1109/WISP.2015.7139172","url":null,"abstract":"People who have lost their walking and moving ability need to use a wheelchair. In cases of losing complete control of the upper and lower limbs, intelligent solutions are required to ensure the autonomy and independence of those patients. The intelligent application must be designed carefully to use the available self-controlled electrical and physical activity of the patient's body like sound, Electromyogram (EMG), Electrooculogram (EOG) and body movement as an input control signal. In this paper, we describe the design and implementation of three modes of operation for a voice controller: the sound dependent (SD) mode with dynamic time warping algorithm (DTW), the sound dependent (SD) mode with Hidden Markov Model algorithm (HMM) and the sound independent mode (SI) with text to sound independent algorithm (T2SI). The user voice command will be processed in parallel by the voice recognition (VR) algorithms and the output of the VR will be fed to the microcontroller unit (μC), which is responsible for controlling the movement and direction of the wheelchair or the rehabilitation robot.","PeriodicalId":215867,"journal":{"name":"2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121457920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A network of vibration measuring nodes with integrated signal processing for predictive maintenance of high power transformers","authors":"S. Saponara, L. Fanucci, F. Bernardo, A. Falciani","doi":"10.1109/WISP.2015.7139154","DOIUrl":"https://doi.org/10.1109/WISP.2015.7139154","url":null,"abstract":"The paper addresses the problem of predictive maintenance in high power supply systems. According to FMECA (Failure Mode, Effects and Criticality Analysis) study key issues for power system reliability are the faults occurring in 3-phase high power transformers. With respect to the state of art where typically only thermal and electrical faults are monitored this work proposes a distributed network of measuring nodes where also vibration-based mechanical stress diagnostic is implemented. Mechanical degradation is tracked through multichannel vibration measures with sensitivity down to 0.5 mg and local processing in the transformed frequency (100 Hz-1 kHz) domain. A compact hardware-software implementing platform is also presented whose performances are assessed through experimental measurements on real high power transformers used in railway applications.","PeriodicalId":215867,"journal":{"name":"2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134235887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dual quaternion based IMU and vision fusion framework for mobile augmented reality","authors":"Ashley Varghese, M. Chandra, Kriti Kumar","doi":"10.1109/WISP.2015.7139178","DOIUrl":"https://doi.org/10.1109/WISP.2015.7139178","url":null,"abstract":"Mobile Augmented Reality (MAR) is an emerging field and its nascent applications are finding its ways into the current deployments of cyber physical system. Mobile devices can harness augmented reality technology in any unprepared environment. This introduces a challenge to achieve an accurate and robust registration and tracking of mobile device. For accurate tracking, much research is being carried out to fuse inertial and vision sensor data. The resultant tracking can be further made better by finding means to track coupled translational and rotational motions. This problem is tackled with a neat formalism in terms of dual quaternion. Unit dual quaternion can capture the coupling between translational and rotational motions. In this paper, the requisite machinery is pivoted around Extended Kalman Filter (EKF) and is derived based on dual quaternion. The derived EKF expression is verified through experimentation involving both simulated and realistic data, the latter being obtained from a prototype for MAR. The simulation results show the effectiveness of dual quaternion on position and orientation estimation. This novel fusion framework resulted in more accurate tracking as compared to that of the existing quaternion based algorithm.","PeriodicalId":215867,"journal":{"name":"2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116873240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Ruano, S. Silva, S. Pesteh, P. Ferreira, H. Duarte, G. Mestre, H. Khosravani, R. Horta
{"title":"Improving a neural networks based HVAC predictive control approach","authors":"A. Ruano, S. Silva, S. Pesteh, P. Ferreira, H. Duarte, G. Mestre, H. Khosravani, R. Horta","doi":"10.1109/WISP.2015.7139168","DOIUrl":"https://doi.org/10.1109/WISP.2015.7139168","url":null,"abstract":"This paper improves an existing Model Based Predictive Control Approach (MBPC), applied for Heating Ventilation and Air Conditioning (HVAC) control in buildings. The existing approach uses the Predictive Mean Vote (PMV) to assess thermal comfort. It has been found that PMV estimation and forecasts deteriorate when the room is occupied. In order to solve this problem, we propose to incorporate measurements of activity inside the room in the predictive models of the inside air temperature. Another improvement to the existing approach is to use an economic cost function, reflecting the money needed for the HVAC control, instead of a cost function related with the consumption of energy.","PeriodicalId":215867,"journal":{"name":"2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124762761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multipath cancellation in broadband acoustic local positioning systems","authors":"F. Álvarez, Roberto López-Valcarce","doi":"10.1109/WISP.2015.7139174","DOIUrl":"https://doi.org/10.1109/WISP.2015.7139174","url":null,"abstract":"This work proposes a novel method to estimate the Line-of-Sight Time-of-Flights (LOS-TOFs) in a broadband acoustic local positioning system (ALPS) with strong multipath interference. The proposed method is based on the Matching Pursuit channel estimation algorithm that provides a low complexity approximation to the Maximum Likelihood solution for sparse channels. A multichannel version of this algorithm has been implemented to estimate a minimum of three coefficients in the channel responses of a particular ALPS, composed of four beacons that perform the simultaneous emission of BPSK modulated 255-bit Kasami codes. A statistical analysis of performance has been carried out by using a set of test signals synthetically generated to simulate different positions and reflection coefficients of the environment. The results of this analysis show the enhanced capability of the proposed method to estimate the LOS-TOFs under strong multipath interference, with respect to that of a classical system based on correlation + thresholding.","PeriodicalId":215867,"journal":{"name":"2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121070193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electronic actuation control unit with embedded energy storage for safety-critical mechatronic applications","authors":"S. Saponara","doi":"10.1109/WISP.2015.7139164","DOIUrl":"https://doi.org/10.1109/WISP.2015.7139164","url":null,"abstract":"The paper presents an Actuation Control Unit (ACU) for mechatronic applications with embedded energy storage to face safety critical applications. The idea is ensuring full operation also in case of battery failure by using super capacitors as local energy tank. Thanks to boost converter circuitry the supercaps provide the required voltage and current levels for the required time to guarantee actuator operation until the system enters in a safe condition. The proposed compact realization has an energy capability up to 200 J covering the requirements of all the reported experimental applications (actuation of car door's latch and of a robotized gearbox in vehicles, actuation of a servomotor for prosthetic arm in biomedical robotic applications) although the circuit schematic is parametric and can be re-scaled for higher energy values.","PeriodicalId":215867,"journal":{"name":"2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122528626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elham Zamanidoost, F. M. Bayat, D. Strukov, I. Kataeva
{"title":"Manhattan rule training for memristive crossbar circuit pattern classifiers","authors":"Elham Zamanidoost, F. M. Bayat, D. Strukov, I. Kataeva","doi":"10.1109/WISP.2015.7139171","DOIUrl":"https://doi.org/10.1109/WISP.2015.7139171","url":null,"abstract":"We investigated batch and stochastic Manhattan Rule algorithms for training multilayer perceptron classifiers implemented with memristive crossbar circuits. In Manhattan Rule training, the weights are updated only using sign information of classical backpropagation algorithm. The main advantage of Manhattan Rule is its simplicity, which leads to more compact hardware implementation and faster training time. Additionally, in case of stochastic training, Manhattan Rule allows performing all weight updates in parallel, which further speeds up the training procedure. The tradeoff for simplicity is slightly worse classification performance. For example, simulation results showed that classification fidelity on Proben1 benchmark for memristor-based implementation trained with batch Manhattan Rule were comparable to that of classical backpropagation algorithm, and about 2.8 percent worse than the best reported results.","PeriodicalId":215867,"journal":{"name":"2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115137897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detecting pedestrians and vehicles in traffic scene based on boosted HOG features and SVM","authors":"Diqing Sun, J. Watada","doi":"10.1109/WISP.2015.7139161","DOIUrl":"https://doi.org/10.1109/WISP.2015.7139161","url":null,"abstract":"This paper presents a popular method called boosted hog features to detect pedestrians and vehicles in static images. We compared the differences and similarities of detecting pedestrians and vehicles, then we selected boosted hog features to get an satisfying result. In the part of detecting pedestrians, Histograms of Oriented Gradients (HOG) feature is applied as the basic feature due to its good performance in various kinds of background. On that basis, we create a new feature with boosting algorithm to obtain more accurate results. In the part of detecting vehicle, we select the shadow underneath vehicle as the feature, so we can utilize it to detect vehicles in daytime. The shadow is an important feature for vehicles in traffic scenes. The region under vehicle is usually darker than other objects or backgrounds and can be segmented by setting a threshold. Finally, experimental results show that the detection of pedestrians and vehicles using boosted hog feature and linear svm combines the advantages of hog feature and adaboost classifier, and can achieve better detection results than the detector using conditional HOG features. At the end, the paper shows its efficiency and effectiveness using to application in real situations.","PeriodicalId":215867,"journal":{"name":"2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121715050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SHE based non interactive privacy preserving biometric authentication protocols","authors":"G. Droandi, R. Lazzeretti","doi":"10.1109/WISP.2015.7139180","DOIUrl":"https://doi.org/10.1109/WISP.2015.7139180","url":null,"abstract":"Being unique and immutable for each person, biometric signals are widely used in access control systems. While biometric recognition appeases concerns about password's theft or loss, at the same time it raises concerns about individual privacy. Central servers store several enrolled biometrics, hence security against theft must be provided during biometric transmission and against those who have access to the database. If a server's database is compromised, other systems using the same biometric templates could also be compromised as well. One solution is to encrypt the stored templates. Nonetheless, when using traditional cryptosystem, data must be decrypted before executing the protocol, leaving the database vulnerable. To overcame this problem and protect both the server and the client, biometrics should be processed while encrypted. This is possible by using secure two-party computation protocols, mainly based on Garbled Circuits (GC) and additive Homomorphic Encryption (HE). Both GC and HE based solutions are efficient yet interactive, meaning that the client takes part in the computation. Instead in this paper we propose a non-interactive protocol for privacy preserving biometric authentication based on a Somewhat Homomorphic Encryption (SHE) scheme, modified to handle integer values, and also suggest a blinding method to protect the system from spoofing attacks. Although our solution is not as efficient as the ones based on GC or HE, the protocol needs no interaction, moving the computation entirely on the server side and leaving only inputs encryption and outputs decryption to the client.","PeriodicalId":215867,"journal":{"name":"2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130942319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}