Miracle-dz/UniFAR-FTUs huggingface dataset:
Don't ignore nonstationarity: use it to advantage

Most signal processing techniques were originally designed to work in the stationary context. However, the signals encountered in many fields are clearly non-stationary either by construction like man-made communication signals, or due to the time-varying geometry of the transmission path as in mechanics. The property of non-stationarity seems at first glance inconvenient since it limits the effectiveness of the classical techniques, unless it is exploited to design more advanced techniques. This paper shows how to make use of the non-stationary but cyclic (cyclostationary) nature of the signals issuing from rotating machinery. It provides the pre-treatments to be performed in presence of speed fluctuation in order to resample the vibration signals with respect to the shaft angle instead of time and thus accentuate the property of cyclostationarity. It then illustrates through examples how to exploit the extra information provided by cyclostationarity to effectively perform signal separation and diagnostics of complex industrial systems.
Effects of Auditory Robot Interfaces on Human-Robot Interaction

With the advancement of robotics and the ageing society, the necessity of tool-like service robots for elders is emerging. For service robots which appear in human's daily life, human-robot interaction(HRI) is essential factor to design. Particularly, auditory interface can be an effective interaction way for elders who are not accustomed to new device. The objectives of this study is to find whether speech interface or non-speech audio are more preferred by users and support more effective task performance. Two tasks with corresponding speech and non-speech audio were given to participants for experiments. The correctness and the time spent to complete each task were measured, and questionnaires about preferences and task performances were asked. Participants exhibited more preferences on speech interface than non-speech audio and completed tasks in shorter time mostly with speech interface. Keyword : Tool-like Service Robots, Speech Interface, Non-speech Audio
Cross-layer Assisted TCP Algorithms for Vertical Handoff

The ever expanding growth of the wireless access to the Internet in recent years has led to the proliferation of wireless and mobile devices to connect to the Internet. This has created the possibility of mobile devices equipped with multiple radio interfaces to connect to the Internet using any of several wireless access network technologies such as GPRS, WLAN and WiMAX in order to get the connectivity best suited for the application. These access networks are highly heterogeneous and they vary widely in their characteristics such as bandwidth, propagation delay and geographical coverage. The mechanism by which a mobile device switches between these access networks during an ongoing connection is referred to as vertical handoff and it often results in an abrupt and significant change in the access link characteristics. The most common Internet applications such as Web browsing and e-mail make use of the Transmission Control Protocol (TCP) as their transport protocol and the behaviour of TCP depends on the endto-end path characteristics such as bandwidth and round-trip time (RTT). As the wireless access link is most likely the bottleneck of a TCP end-toend path, the abrupt changes in the link characteristics due to a vertical handoff may affect TCP behaviour adversely degrading the performance of the application. The focus of this thesis is to study the effect of a vertical handoff on TCP behaviour and to propose algorithms that improve the handoff behaviour of TCP using cross-layer information about the changes in the access link
Controller design for linear time varying systems by backstepping

A new model reference adaptive control scheme based on nonlinear backstepping approach is proposed for linear time varying systems. The main idea of this design scheme is to construct a new tracking error dynamics to perform the nonlinear backstepping design. By the proper choices of the controller parameters and the intermediate control functions, the output tracking error can be made sufficiently small.
Identification of Volcano Hotspots by using Resilient Back Propagation (RBP) Algorithm Via Satellite Images

Remote Sensing is vital because of their pressing n eed due to the analysis of natural hazards. Among t he various natural hazards, the Volcanoes are terrific hazard which may harm the nature as well as the li ving things. Due to the aforesaid reasons, the identific ation of volcanoes and their hotspot identification are important to protect the living things. A mechanism which will be utilized to identify the volcanoes a nd their hotspot from the satellite images is proposed . Initially, the color space of the satellite image will be converted to another color space to identify the co ntents of the image clearly. After this process, th e image will be segmented to identify the volcano’s hotspot . In order to identify the hotspot of volcano, the Artificial Neural Network (ANN) is utilized which u ses Standard Back Propagation (SBP) Algorithm. The proposed mechanism will be developed with the aid of the platform MATLAB (version 7.11).
Merging Planning and Veriﬁcation Techniques for “Safe Planning” in Space Robotics

Space applications require software systems that are both autonomous and safe. Planning techniques can automatically generate plans that achieve given goals. Formal veriﬁcation techniques, like model checking, can guarantee a higher degree of safety. In this paper, we combine planning and formal ver-iﬁcation techniques in order to address the problem of “Safe Planning”. By “Safe Planning”, we mean the task of generating/validating plans that not only achieve the goal, but verify also a set of other user deﬁned properties, e.g., safety properties. This work has been carried out in the context of “SACSO” (SAfety Critical SOftware for planning in space robotics), a national project funded by the Italian Space Agency (ASI).
Image Edge Detection Techniques using MATLAB Simulink

Edge detection is one of the important part of image processing. Edge detection is the processes to detect the sharp changes in intensity value (pixel value) of the image. In past there are many edge detection techniques are there. The commonly used are Sobel, Robert, Prewitt, Laplacian, LoG (Laplacian of Guassian), Canny’s edge detection technique and Beamlet transform edge detection technique. In this paper we deal with MATLAB/SIMULINK model for Canny’s edge detection technique and Beamlet transform edge detection technique. Corresponding simulation results are compared using MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio) performance metrics.
High-throughput block-matching VLSI architecture with low memory bandwidth

A full-search block-matching architecture which features high throughput, low data input lines, and low memory bandwidth is proposed. It reduces memory I/O requirements by the maximum reuse of search data using on-chip memory. It also promises a high throughput rate by the continuous calculation of all block distortions in a search area using two search data input flows without processing any invalid block distortion, and by the continuous process of the neighbored reference blocks removing the initialization period between blocks. The processor for -16/+15 search ranges, implemented in the total 220 k gates using 0.6 /spl mu/m triple-metal CMOS technology, can operate at a 66 MHz clock rate, and therefore is capable of encoding H.263(4CIF), MPEG2(MP@ML), and other multimedia applications.
THE APPROPRIATION OF MATHEMATICAL OBJECTS BY UNDERGRADUATE MATHEMATICS STUDENTS: A STUDY

In this thesis I consider how mathematics students in a traditional firstyear Calculus course at a South African university appropriate mathematical objects which are new to them but which are already part of the official mathematics discourse. Although several researchers have explained mathematical object appropriation in process-object terms (for example, Sfard, 1994; Dubinsky, 1991, 1997; Tall, 1991, 1995, 1999), my focus is largely on what happens prior to the object-process stage. In line with Vygotsky (1986), I posit that the appropriation of a new mathematical object by a student takes place in phases and that an examination of these phases gives a language of description for understanding this process. This theory, which I call “appropriation theory”, is an elaboration and application of Vygotsky’s (1986) theory of concept formation to the mathematical domain. I also use Vygotsky’s (1986) notion of the functional use of a word to postulate that the mechanism for moving through these phases, that is, for appropriating the mathematical object, is a functional use of the mathematical sign. Specifically, I argue that the student uses new mathematical signs both as objects with which to communicate (like words are used) and as objects on which to focus and to organise his mathematical ideas (again as words are used) even before he fully comprehends the meaning of these signs. Through this sign usage the mathematical concept evolves for that student so that it eventually has personal meaning (like the meaning of a new word does for a child); furthermore, because the usage is socially regulated, the concept evolves so that its usage is concomitant with its usage in the mathematical community. I further explicate appropriation theory by elaborating a link between the theoretical concept variables and their empirical indicators, illustrating these links with data obtained from seven clinical interviews. In these interviews, seven purposefully chosen students engage in a set of speciallydesigned tasks around the definition of an improper integral. I utilise the empirical indicators to analyse two of these interviews in great detail. These analyses further inform the development of appropriation theory and also demonstrate how the theory illuminates the process of mathematical object appropriation by a particular student.
Europarl QTLeap WSD/NED corpus

This corpora is part of Deliverable 5.5 of the European Commission project QTLeap FP7-ICT-2013.4. 1-610516 (http://qtleap.eu). The texts are sentences from the Europarl parallel corpus (Koehn, 2005). We selected the monolingual sentences from parallel corpora for the following pairs: Bulgarian-English, Czech-English, Portuguese-English and Spanish-English. The English corpus is comprised by the English side of the Spanish-English corpus. Basque is not in Europarl. In addition, it contains the Basque and English sides of the GNOME corpus. The texts have been automatically annotated with NLP tools, including Word Sense Disambiguation, Named Entity Disambiguation and Coreference resolution. Please check deliverable D5.6 in http://qtleap.eu/deliverables for more information.
An Effective and Efficient Approach to 3D Reconstruction and Quantification of Brain Tumor on Magnetic Resonance Images

Three dimensional (3D) reconstruction of the tumor from medical images is an important operation in the medical field as it helps the radiologist in the diagnosis, surgical planning and biological research. Thus in this paper, we propose an effective and efficient approach to 3D reconstruction of brain tumor and estimation of its volume from a set of two dimensional (2D) cross sectional magnetic resonance (MR) images of the brain. In the first step, MR images are preprocessed to improve the quality of the image. Next, abnormal slices are identified based on histogram analysis and tumor on those slices is segmented using modified fuzzy c-means (MFCM) clustering algorithm. Next, the proposed enhanced shape based interpolation technique is applied to estimate the missing slices accurately and efficiently. Then, the surface mesh of the tumor is reconstructed by applying the marching cubes (MC) algorithm on a set of abnormal slices. The large number of triangles generated by the MC algorithm was reduced by our proposed mesh simplification algorithm to accelerate the rendering phase. Finally, rendering was performed by applying Phong lighting and shading model on the reconstructed mesh to add realism to the 3D model of the tumor. The volume of the tumor was also computed to assist the radiologist in estimating the stage of the cancer. All experiments were carried out on MR image datasets of brain tumor patients and satisfactory results were achieved. Thus, our proposed method can be incorporated into the computer aided diagnosis (CAD) system to assist the radiologist in finding the tumor location, volume and 3D information.
Recompression Treatment Tables Used Throughout the World by Government and Industry.

Abstract : This review article covers the history of recompression procedures in the U.S. Navy and surveys the procedures that have been used throughout the world. The information is compiled to serve as a statement-of-the-art document with the expressed purpose of reevaluating recompression procedure in an effort to improve its efficacy. (Author)
Open protocols for web-based educational materials

Using computers to deliver instructional material should be an excellent match of technology to education. Countless products meant to enhance or replace the classroom experience are currently available, yet few are utilized in spite of the national drive to increase the use of educational technology in our schools. Factors behind this under-utilization are complex but include expense, lack of flexibility, the proprietary nature of the products, and lack of teacher training, support, and time. Any computer-based instructional tool should incorporate the following characteristics in order to maximize utility and flexibility while minimizing cost and time: (1) be cross-platform, (2) separate content from delivery, (3) provide creation, editing, and delivery capabilities, and (4) use open standards. Our work proposes partitioning educational software along lines of expertise: open source authoring and presentation tools, open protocols for instructional design, and separate content created using the most appropriate application programs. We show the feasibility of meeting all the requirements with this approach using XML and Java.
Design considerations for common-mode feedback circuits in fully-differential operational transconductance amplifiers with tuning

Power consumption, chip area, feedback loop gain, parasitic capacitance and nonlinearity of three popular common-mode feedback (CMF) circuits used in operational amplifiers are analyzed and compared. One of them is chosen as a candidate for CMF in fully differential operational transconductance amplifiers (OTAs). Three improved versions of this circuit that can be used in an OTA without leading to DC offset caused by the always unavoidable tuning are proposed. Simulation results show that the improved circuits reduce the DC offset from 0.6 V to nearly zero for the whole tuning range. <<ETX>>
An Interactive Animation System for Mobile Devices

The limitations of resource on mobile devices make the animation on mobile devices become a challenge. This paper proposes a novel interactive remote animation system for mobile devices. Given a point model, the system can use motion data to drive the model to do animation, and can interactively edit the style of motion. Three modules which are data transmission, style editing, interaction and animation are included in the system. A preprocessing involves skeletonization and learning a generative model is needed for animation and style editing. Experiments show our system has natural interaction of style editing and can better display the model animation driven by the generated stylistic motion data on the mobile terminal.
Exploring Smartphone-Based Indoor Navigation: A QR Code Assistance-Based Approach

A real-time, Indoor navigation systems utilize ultra-wide band (UWB), radio-frequency identification (RFID) and received signal strength (RSS) techniques that encompass WiFi, FM, mobile communications, and other similar technologies. These systems typically require surplus infrastructure for their implementation, which results in significantly increased costs and complexity. Therefore, as a solution to reduce the level of cost and complexity, an inertial measurement unit (IMU) and quick response (QR) codes are utilized in this paper to facilitate navigation with the assistance of a smartphone. The QR code helps to compensate for errors caused by the pedestrian dead reckoning (PDR) algorithm, thereby providing more accurate localization. The proposed algorithm having IMU in conjunction with QR code shows an accuracy of 0.64 m which is higher than existing indoor navigation techniques.
Selective modeling of the LPC residual during unvoiced frames: White noise or pulse excitation

This paper presents a new method of modeling the LPC residual during unvoiced speech for voice coding at 4.8 kb/s. With this method, speech is synthesized using one of three excitation types: periodic pitch pulses, random noise, or multipulse. By using multipulse excitation it is possible to accurately produce speech which is difficult to model using noise and pitch pulses alone [1]. Since multipulse is only used where appropriate, efficient, sub-optimal methods of calculating the pulse amplitudes and positions are adequate, simplifying the implementation into a real-time system. The synthetic speech may be coded at 4.8 kb/s since multipulse, used only where appropriate, suffers little quality loss when quantized. A method of determining which excitation type is to be used is discussed. Formal listening test results are also presented.
Pronominal Anaphora Resolution Algorithm in Myanmar Text

One way to increase the coherence of summary generation system is to derive first the discourse structure of the text and to guide the selection of the sentences. These sentences to be included into the summary are considered by a score according to both the relevance of the sentence in a discourse tree and the coherence of the text, as given by solving anaphoric references. Anaphoric references resolution is a common phenomenon in natural language processing, and has correspondingly received a significant amount of attention in the literature. In this paper, we present a Myanmar pronominal anaphora resolution algorithm which bases on Hobbs' algorithm that works only the surface syntax of sentences in a given text. The purpose of this paper is to implement pronominal anaphora resolution system on computer in java. This study shows that Myanmar anaphora resolution algorithm perform on two kinds of data sets and corresponding results are obtained a substantial accuracy 80% that can be an acceptable resolution performance for Myanmar. In addition, this pronominal anaphora resolution algorithm will be used for summary generation system in Myanmar.
Multipurpose audio watermarking algorithm

To make audio watermarking accomplish both copyright protection and content authentication with localization, a novel multipurpose audio watermarking scheme is proposed in this paper. The zero-watermarking idea is introduced into the design of robust watermarking algorithm to ensure the transparency and to avoid the interference between the robust watermark and the semi-fragile watermark. The property of natural audio that the VQ indices of DWT-DCT coefficients among neighboring frames tend to be very similar is utilized to extract essential feature from the host audio, which is then used for watermark extraction. And, the chaotic mapping based semi-fragile watermark is embedded in the detail wavelet coefficients based on the instantaneous mixing model of the independent component analysis (ICA) system. Both the robust and semi-fragile watermarks can be extracted blindly and the semi-fragile watermarking algorithm can localize the tampering accurately. Simulation results demonstrate the effectiveness of our algorithm in terms of transparency, security, robustness and tampering localization ability.
The Contribution of Visual Feedback to Movement Control in a Visuomotor Tracking Task

The aim of this study was to determine if and how specific characteristics of visual information influence the motor control strategy adopted during a visuomotor tracking task. To this end, twenty healthy subjects and two stroke patients were measured. Changes in wrist joint admittance (i.e., wrist rotations due to external forces) due to specific manipulations of the visual scenery related to task demands (i.e., tolerance, velocity, preview; experiment 1) and related to presentation of visual information (i.e., gain, optical flow density; experiment 2) were quantified using System Identification and Parameter Estimation (SIPE) techniques in order to distinguish between continuous feedback, intermittent feedback and anticipatory feedback control strategies. To this end, a linear physiological model comprising short-latency muscle spindle feedback \'and long-latency visual position feedback was fitted to the experimental data. To study control adaptability, the potential of a linear time invariant (LTI) technique to analyze time variant (TV) control behavior was explored. In both experiments, manipulations of the visual information elicited significant changes in intrinsic and reflexive neuromuscular properties and use of visual feedback. The findings suggest that humans flexibly adapt their use of visual feedback between continuous feedback and intermittent feedback control, dependent of demands on task precision and movement velocity. Anticipatory feedback control was dependent on the amount of future task information available, but was suppressed by high task demands and increased when movements were visually amplified. LTI models can successfully be deployed for the analysis of TV control behavior in tracking tasks, provided that actual movement amplitudes are small. It is concluded that the discussed methods yield potential in the identification of motor control adaptability for the use in diagnostics of movement disorders.
Efficient Prediction of Difficult Keyword Queries using Collaborative Filtering Recommendation Framework

Keyword queries on databases provide easy access to data, but often suffer from low ranking quality, i.e., low precision and/or recall, as shown in recent benchmarks. Collaborative filtering (CF) is significant and admired technology for recommender systems. Recommender frameworks have been turned out to be significant means for web online clients to adapt to the information overload and have ended up a standout amongst the most effective and prevalent tools in electronic commerce. Recommending and personalization are critical ways to deal with combating information overload. Machine Learning is an imperative piece of frameworks for these assignments. Collaborative filtering has issues, substance based routines address these issues integrating both is best. Keywords: Collaborative Filtering; Content-based Recommender System; Neighbor Selection
Key Retrieval Mechanism for Data Aggregation in IPKE Managed WSN

Establishment of pairwise keys in wireless sensor networks is a fundamental security service, which forms the basis of other security services such as authentication and encryption. However, due to the resource constraints on sensor nodes, establishing pairwise keys in wireless sensor networks is not a trivial task. For the existing key pre-distribution schemes, as the number of compromised nodes increasing, the fraction of affected pairwise keys will increase quickly. As a result, a small number of compromised nodes may affect a large fraction of pairwise. The main purpose of providing security for node is to send data to sink node securely. In existing scheme IPKE node to node delivery is secured but if any node is compromised then data passing through it is also visible to attacker. This problem can be solved if a tunnel is formed between source node and sink node. In this case no intermediate node can interpret data as it is encrypted with the key shared by source node and sink node.