Miracle-dz/UniFAR-FTUs huggingface dataset:
The linguistic basis of phonetic coherence

UC Berkeley Phonology Lab Annual Report (2008) The linguistic basis of phonetic coherence * Keith Johnson UC Berkeley “Phonetic coherence” refers to the fact that speech is not perceived acoustically. To illustrate this consider a spectrogram of the word “trip” in English (Figure 1). The acoustic intervals are silence, burst, voiceless /ɹ /, voiced /ɹ/, vowel /ɪ/, final /p/ closure, and burst. Yet people hear the segments /t/ /ɹ/ /ɪ/ and /p/. Some acoustic bits cohere with each other. voiceless /r/ voiced /r/ F3 F2 t p Figure 1. A spectrogram of the word “trip” with acoustic segments labelled. One possible basis of phonetic coherence is that listeners hear acoustic “cues” like the voiceless and voiced portions of /r/ in terms of the vocal tract actions that produce them. Thus, the fact that there is a single rhotic gesture in “trip” causes the two rhotic acoustic bits to cohere into a single perceptual event. It is fashionable in some circles to act as if experiencing the speech of others in terms of vocal tract actions is some sort of vaguely shamanistic approach to speech science. It has not always been so. For example, Abercrombie (1967, p. 97) discussing rhythm says, “There are important implications for perception here. Speech rhythm is experienced as a rhythm of movement. Obviously it is directly so experienced by Presented at the 11th Laboratory Phonology Conference. This paper is a response to Remez (2005) and Goldstein and Fowler (2003) – two important papers on phonetic coherence in speech perception.
Decentralized control of a multiple access broadcast channel: performance bounds

Optimal decentralized control of the multiple access broadcast channel is considered. A technique is presented for upper bounding the throughput of a slotted multiple access system with a finite number of users, immediate ternary feedback, retransmission of collisions, and no buffering. The upper bound is calculated for the two- and three-user cases, and it is shown that Hluchyj and Gallager's (1981) optimized window protocol is effectively optimal for these cases.
Retrograde Morphemic Dictionary of Czech - verbs

The file contains all Czech verbs included in the Retrograde Morphemic Dictionary of Czech Language (Slavickova Eleonora, Academia 1975). The data was obtained by scanning a portion of the dictionary that contains words ending in -ci and -ti. Among them, there were 18 non-verbs, which were removed. Using OCR, the data was converted into the plain text format and the result was checked by two independent readers. However, if a user encounters a forgotten error, please report.
ISDN primary rate interface impact on performance of integrated voice and data on CSMA/CD networks-a measurement and simulation study

The impact of an integrated services digital network primary rate interface (ISDN PRI) on the performance of integrated voice and data applications on carrier-sense multiaccess with collision detection (CSMA/CD) networks is studied. It is assumed that a 10-Mb/s CSMA/CD local area network is used to interconnect packet voice telephones and PCs. An overview of the simulation model is given and results of the simulation model are discussed and compared with performance under other traffic assumptions. Throughout the discussion, it is assumed that there is no priority among voice and data packets. In order to study the impact of backoff algorithms on voice packet loss and data delay, the accelerated contention resolution, linear priority, and assignment of a threshold for backoff for the voice packets are evaluated and compared with the standard IEEE 802.3 binary exponential backoff that is implemented in the majority of CSMA/CD LANs. <<ETX>>
RETINA BASED BIOMETRIC AUTHENTICATION SYSTEM: A REVIEW

A biometric system provides an automatic person authentication based on some characteristic features possessed by the individual. Among all other biometrics, the retinal biometric system is unique as well as stable. The retina is a secure and reliable source of person recognition as it lies behind the eye and is unforgeable. The process of recognition mainly includes pre-processing, feature extraction and then feature matching. The features generally used in this process are either blood vessel features or non-blood vessel features. In this paper, different methods available in the literature for retina based person authentication system are described, discussed and compared.
Real Coded Genetic Algorithm Based Improvement of Efficiency in Interleaved Boost Converter

The reliability, efficiency, and controllability of Photo Voltaic power systems can be increased by embedding the components of a Boost Converter. Currently, the converter technology overcomes the main problems of manufacturing cost, efficiency and mass production. Issue to limit the life span of a Photo Voltaic inverter is the huge electrolytic capacitor across the Direct Current bus for energy decoupling. This paper presents a two-phase interleaved boost converter which ensures 180 angle phase shift between the two interleaved converters. The Proportional Integral controller is used to reshape that the controller attempts to minimize the error by adjusting the control inputs and also real coded genetic algorithm is proposed for tuning of controlling parameters of Proportional Integral controller. The real coded genetic algorithm is applied in the Interleaved Boost Converter with Advanced Pulse Width Modulation Techniques for improving the results of efficiency and reduction of ripple current. Simulation results illustrate the improvement of efficiency and the diminution of ripple current. Full Text: PDF DOI: http://dx.doi. org/10.11591/ijpeds.v5. i4.pp529-540
Applications of adaptive principal components extraction algorithm in the feature extraction of human face

An adaptive principal component extraction algorithm (APEX) is presented based on principal component analysis (PCA), and a close relationship between the network model of the algorithm and statistical pattern recognition is revealed. Finally, the APEX algorithm is applied to the face database by Olivetti research laboratory (ORL), for face feature extraction. Simulation results demonstrate that it is a valid feature extraction method for face recognition.
Modeling cloth from examples

We measure cloth properties and create cloth animations from video of actual cloth. This work spans several domains: texture tracking and replacement, 3D shape estimation from a single view, 3D shape from multiple views and data driven cloth animation. In the first part of the thesis, the emphasis is on single view estimation of visual properties and the related problem of texture replacement. We show that screen print cloth has advantageous properties and that simple lighting estimation makes texture replacement and geometry estimation substantially better. In the second part of the thesis, we create cloth animations in a data-driven manner by recording real cloth movement. Our method involves printing custom clothing, capturing video of the clothing from multiple viewpoints and then building models of the cloth motion as frame-by-frame geometry. This problem is difficult because of occlusion: often some portion of the cloth makes it impossible to see other regions of the cloth. To overcome this challenge, we print a multi-colored pattern on the surface of the cloth to simplify identification of the surface and we use a data-driven hole filling technique to sew in observations of missing data from other frames. The resulting data can be used in several applications: we show examples of editing and modifying the data for different animation purposes.
On the design of equal division single-band filtering dividers with an extended transmission line and resistor as isolation elements

This paper introduces a new scheme for effective output port isolation and return loss in RF-filtering divider design. The proposed design incorporates an extended transmission line and a conventional resistor as isolation elements. The technique has a simpler microstrip circuit implementation when it comes to the integration of a single-band band-pass filter with a Wilkinson power divider to achieve simultaneous filtering-dividing action. It is established that if a band-pass filter with a certain fractional-bandwidth is matched to 70.7 $\Omega $, a transmission line section and isolation resistor are sufficient for achieving reasonable output port return loss and isolation in the resulting filtering divider. In experimental validation, two single-band band-pass filters, namely a coupled-line filter and an open-loop coupled resonator triangular filter with center frequencies of 3 GHz and 1 GHz, respectively, effectively replace the conventional quarter-wavelength transformers for equal division of power. The proposed filtering divider structures were fabricated and a reasonable agreement was observed between respective simulated and measured S-parameter responses. The experimental results for a coupled-line filtering power divider and an open-loop triangular filtering power divider were as follows: 1 dB fractional-bandwidths of 15.3% and 12%, port isolations better than 31 dB and 20 dB, and good out-of-band performances up to 2.67f$_{0}$ and 2.85f$_{0}$, respectively.
A High Switching Frequency Flyback Converter in Quasi Resonant Mode

The demand for micro-scaling of power systems has boosted the research on high-switchingfrequency power converters. A flyback converter operating in resonant mode featuring low switching losses, low transformer losses, and reduced switching noise at higher switching frequencies are investigated in this article as an alternative to the conventional quasi-state resonance based flyback topology to improve power density. In order to get a compromise between the magnet size, electromagnetic interference (EMI), and efficiency the proposed methodology implements a resonant system between transformer and leakage inductance with a snubber capacitor in order to obtain a zero-voltage switching at turn-on and turnoff of the primary switch with reduced core loss due to a continuous magnetizing current to the transformer and also a lower EMI due to low di/dt and dv/dt ranges. Meanwhile, the concept uses the regenerative snubber to recycle the transformer leakage power consisting of two snubber diodes and a snubber capacitor. The proposed methodology has been verified on a 340 kHz 65W prototype design. Compared with the conventional quasi-resonant flyback converter that is operating at the same switching frequency, the proposed concept has 2% efficiency improvement and better EMI performance.
The causal surface and its effect on distribution transparency in a distributed virtual environment

One goal in the development of distributed virtual environments (DVEs) is to create a system such that users are unaware of the distribution-the distribution should be transparent. The paper begins by discussing the general issues in DVEs that might make this possible, and a system that allows some level of distribution transparency is described. The system described suffers from effects of inconsistency, which in turn cause undesirable visual effects. The causal surface is introduced as a solution that removes these visual effects. The paper then introduces two determining factors of distribution transparency relating to user perception and performance. With regard to these factors, two hypotheses are stated relating to the causal surface. A user-trial on forty-five subjects is used to validate the hypotheses. A discussion of the results of the trial concludes that the causal surface solution does significantly improve the distribution transparency in a DVE.
Detection of Malicious Circuitry using Transition Probability Based Node Reduction Technique

In recent years, serious concerns have been raised against the tampering of integrated circuits due to outsourcing of circuits for fabrication. It has led to the addition of malicious circuitry known as Hardware Trojan. In this paper, a transition probability based node reduction technique for faster and efficient Hardware Trojan (HT) detection has been attempted. In the proposed method, the fact that the least controllable and observable nodes or the nodes with least transition probability are more vulnerable as Trojan sites is taken into consideration. The nodes that have lesser activity than the threshold are the candidate nodes. At each candidate node, segmentation is done for further leakage power analysis to detect the presence of Trojans. Experimental results observed on ISCAS’85 and ISCAS’89 benchmark circuits illustrate that the proposed work can achieve remarkable node reduction upto 78.81% and time reduction upto 58.7%. It was also observed that the circuit activity can be increased by varying the input probability. Hence, for further reduction in the Trojan activation time, the weighted input probability was obtained.
Design of complex-valued CNN filters for medical image enhancement

In this paper, we present a new image enhancement technique, using cellular neural network (CNN) filters with complex weighting factors, that is applicable to medical images. Since CNN-type filters have only spatially local interconnections and the number of connections between neurons is relatively low, the required computation in the learning phase is a reasonable amount. However, the output/input behavior is restrictive. The proposed CNN filters are designed as complex-coefficient filters which can improve the output SNR and process the 2D analytic signals of input images. The filter parameters are determined by applying a complex domain backpropagation algorithm. Through several simulations, it is shown that the proposed filters are robust and noise-tolerant for medical images.
An Intuitionistic Approach for Ranking OTA Websites under Multi Criteria Group Decision Making Framework

— The transformations from approaches based on crisp set towards fuzzy set were introduced to include the uncertainty experienced in decision making. But the problem of hesitation about any alternative still prevailed among the decision makers. Later, an extension of fuzzy sets, the intuitionistic fuzzy sets, filled the gap between the degree of satisfaction and the degree of dissatisfaction encountered by the decision makers. Also, the biasness noticed while comparing a number of alternatives based on multiple criteria by a single person, necessitated for a multi criteria group decision making (MCGDM) approach. In this paper, we propose a hybrid model that combines the MCGDM techniques of intuitionistic fuzzy analytical hierarch process (IFAHP) and intuitionistic fuzzy multi objec-tive optimization on the basis of ratio analysis (IFMOORA). The IFAHP technique is used to find the criteria weights and IFMOORA technique is used for overall ranking of OTA web-sites. To validate the proposed model, we apply it to rank on-line travel agencies (OTA) websites on the basis of a number of success factors. The model developed is flexible and can be further applied to various selection problems.
Dependency Distance as a Metric of Language Comprehension Difficulty

Linguistic complexity is a measure of the cognitive difficulty of human language processing. The present paper proposes dependency distance, in the framework of dependency grammar, as an insightful metric of complexity. Three hypotheses are formulated: (1) The human language parser prefers linear orders that minimize the average dependency distance of the recognized sentence (2) There is a threshold that the average dependency distance of most sentences or texts of human languages does not exceed (3) Grammar and cognition combine to keep dependency distance within the threshold. Twenty corpora from different languages with dependency syntactic annotation are used to test these hypotheses. The paper reports the average dependency distance in these corpora and analyzes the factors which influence dependency distance. The findings-that average dependency distance has a tendency to be minimized in human language and that there is a threshold of less than 3 words in average dependency distance and grammar plays an important role in constraining distance-support all three hypotheses, although some questions are still open for further research.
An Intelligent Visual Tracking System Based on Adaptive Mean Shift Tracking Method

— Generally all sparsity based models yields tracking performance in impressive manner, however computational complexity and low estimation of scale and orientation changes of target is aggravated in motion blur and background clutter challenges. In this paper, proposed method is based on a framework which projects templates matrix in candidates space. By selecting and weighting sparse coefficients, DSS map with pooling method leads to choose best candidate for tracking and by scale and orientation adaptive mean shift tracking method we can estimate scale, orientation of target adaptively. The result shows that better accuracy in tracking and robust to above challenges.
Optimizing Design Cost of System By using Dynamic Programming

Search based software engineering is an emerging discipline that optimizing the cost of system design by using algorithmic search techniques. For example in the design article intelligence system that help to crime investigation designs. Use the minimal amount of computing between to reduce weight and lost while supporting training and reorganization task running on board. Hard ware and software (system) design is a process which indentify software and hardware knapsack. Dynamic programming is a problem solving technique which solves the optimization design cost. This paper provide how cost. Constrained problem can be modeled as set of two dimensional knapsack problems and provides a frame work and algorithm to optimize design cost of system. An experimental result showing that results reaches the maximum of optimization solution value.
SEARCH FOR IN-SILICO APPLICATIONS IN DRUG DISCOVERY AND APPLICATIONS OF DIFFERENT DISCIPLINES IN IT: A SURVEY

The present paper surveys on different areas in designing of a new drug that can be performed by means of in-silico methods. Diverse applications of different subjects like Biology, Chemistry, Mathematics, Statistics, Physics etc. in different stages of human drug designing process have also been reviewed in this paper from computational points of view.
A Mathematical Basis for the Safety Analysis of Conflict Prevention Algorithms

In air traffic management systems, a conflict prevention system examines the traffic and provides ranges of guidance maneuvers that avoid conflicts. This guidance takes the form of ranges of track angles, vertical speeds, or ground speeds. These ranges may be assembled into prevention bands: maneuvers that should not be taken. Unlike conflict resolution systems, which presume that the aircraft already has a conflict, conflict prevention systems show conflicts for all maneuvers. Without conflict prevention information, a pilot might perform a maneuver that causes a near-term conflict. Because near-term conflicts can lead to safety concerns, strong verification of correct operation is required. This paper presents a mathematical framework to analyze the correctness of algorithms that produce conflict prevention information. This paper examines multiple mathematical approaches: iterative, vector algebraic, and trigonometric. The correctness theories are structured first to analyze conflict prevention information for all aircraft. Next, these theories are augmented to consider aircraft which will create a conflict within a given lookahead time. Certain key functions for a candidate algorithm, which satisfy this mathematical basis are presented; however, the proof that a full algorithm using these functions completely satisfies the definition of safety is not provided.
FACE RECOGNITION BASED ON IMAGE INTEGRATION AND DCT ANALYSIS

This paper aims at enabling computers to recognize faces without human intervention. This is accomplished by capturing five images for the face under test, the information of five images are concentrated in one integral image by using KL transforms. The wavelet transform was used to diminution the integrated image, DCT was applied on the first band of the wavelet transformed image to extract the recognition features. The recognition features assumed to be driven from the first six DCT coefficients. The recognition was established by searching a match between the features extracted from the test image and library of the face image models. The performance of the designed recognition system gave a promising verification percentage of about 83% in which the contribution weights of the adopted features were unequally.
Nonlinear Trajectory Optimization with Path Constraints Applied to Spacecraft Reconfiguration Maneuvers

Future space assembly and science missions (e.g., Terrestrial Planet Finder) will typically require complex reconfiguration maneuvers involving well coordinated 6 DOF motions of the entire fleet of spacecraft. The motions must also satisfy constraints such as collision avoidance and pointing restrictions on some of the instruments. This problem is particularly difficult due to the nonlinearity of the attitude dynamics and the non-convexity of some of the constraints. The coupling of the positions and attitudes of the N spacecraft by some of the constraints adds a significant complication because it requires that the trajectory optimization be solved as a single 6N DOF problem. This thesis presents a method to solve this problem by first concentrating on finding a feasible solution, then developing improvements to it. The first step is posed as a path planning problem without differential constraints and solved using Rapidly-exploring Random Trees (RRT’s). The improvement step is posed as a feasible nonlinear optimization problem and solved by an iterative optimization similar to a sequential linear programming method. The primary contribution of the thesis is an improvement to the basic RRT algorithm that replaces the connection step with a more complex function that takes into account local information about the constraints. Two functions are proposed, one based on artificial potential functions, and another based on a random search. The results show that the new RRT with either of these connection functions is faster and more reliable for a difficult sample problem. The combination of an RRT with the new connection functions, and the improvement step, is also demonstrated on several challenging spacecraft reconfiguration problems with up to 16 spacecraft (96 DOF). The solution technique is shown to be robust and with computation times fast enough to embed in a real-time optimization algorithm as part of an autonomous onboard control system. Thesis Supervisor: Jonathan P. How Title: Associate Professor
Practical overview of security issues in wireless sensor network applications

Abstract Wireless sensor networks are widely used in applications to monitor and communicate data. Even though the wireless sensor networks have been broadly used in critical applications, security and privacy issues are major concern. The attackers can gain considerably easy access into a wireless sensor networks and inject malicious data. Wireless sensor networks are considered to be vulnerable to the attacks. The aim of this research is to review the practical scenarios and applications, expose the security vulnerabilities and issues associated with wireless sensor networks specific to applications. The need for research in this area is high since it provides a broad scope to investigate problems and issues in current applications.