Miracle-dz/UniFAR-FTUs huggingface dataset:
Object Metamorphosis Based on Generalized Morphology Transformation

A metamorphosis or a morphing is the process of continuously transforming one object into another, and are popular in computer animation, industrial design, and growth simulation. In this paper, a novel approach is presented for computing continuous shape transformation between polyhedral objects in this paper. Metamorphosis can be achieved by decomposing two objects into sets of individual convex sub-objects respectively and constructing the mapping between two sets, this method can solve the metamorphosis problem of two non-homotopic objects (including concave objects and holey objects). The results of object metamorphosis are discussed in this paper. The experiments show that this method can generate natural, high quality metamorphosis results with simple computation. This method can also be used in font composition and interpolation between two keyframes in 2D and 3D computer animation automatically.
H-INFINITY CONTROL OF AN AUTONOMOUS MOBILE ROBOT

This thesis proposes a robust trajectory-tracking solution for a two-wheeled mobile robot using H-infmity (minmax) control techniques in the presence of uncertainties that arise from neglecting some of the system dynamics (e.g., motor dynamics, sensor noise, and unmodeled vehicle dynamics). To compensate for the unceliainties in the dynamic model, we illustrate how the kinematics model of the system can be used to design a robust minmax controller and compare it with a P controller and a PI controller. The nonlinear and the linearized models are simulated in MATLAB@and the results are presented to demonstrate the performance of the proposed controllers. The difference between the advanced control and the traditional control are explained. The second part of this thesis discusses the construction of the mobile robot system, which is an embedded system. It integrates hardware and software in its design and operation. Hardware includes the physical parts of the system and software includes the programs that determine the robot operation. A Microchip PIC16F877 microcontroller (programmed in assembly language) interfaces and controls the mobile robot devices.
Sub-optimal detection of digital PPM employing PIN-BJT receivers

Digital PPM has been shown to be a promising modulation format in that it is a means of exchanging excess channel bandwidth for improved receiver sensitivity. The optimum pre-detection filter is a matched filter in cascade with a proportional-derivative-delay pulse shaping network. This is quite a complicated structure and is fairly difficult to implement. This paper examines the penalty incurred in receiver sensitivity when sub-optimum filtering is used. It is shown that receiver sensitivity can be significantly simplified without incurring enormous penalties in receiver sensitivity. >
MSP: Stata module to perform the Mokken Scale Procedure

MSP implements the Mokken Scale Procedure defined by Hemker, Sijtsma and Molenaar (1995). This procedure construct sub-scales based on Loevinger H coefficients computed by LoevH (q.v.). The results depend of a threshold "c" fixed by the user : the authors of the procedure recommend to use a c exceeding 0.3. The kernel of the first sub-scale can be fixed.
Algorithms for Mining Human Spatial-Temporal Behavior Pattern from Mobile Phone Trajectories

The research on human spatial-temporal behavior has always been the focus of urban geographic studies. In today’s society, social networks, smart phones and smart cards can provide massive data for researchers to analysis human behavior. From mobile phone trajectories, this paper presents algorithms for mining human spatial-temporal behavior pattern, which includes not only the regular movement pattern of individuals, but also the co-occurrence pattern among user groups. The parallel algorithms in this paper are proposed for big data of user trajectories, and the experimental results show that the proposed algorithms are effective. The research on human spatial-temporal behavior pattern can be applied to urban spatial-temporal behavior analysis, smart city construction and other areas.
An approach to identify lesion in infrared breast thermography images using segmentation and fractal analysis

Breast thermography as a clinical diagnostic procedure is used to measure the heat coming from the body that provides information based on heat patterns that are strongly indicative of breast abnormality. In this study, an attempt is made to segment hottest regions for detecting region of interest in the infrared breast thermal images using particle swarm optimisation and further with k-means cluster segmentation. Thermography images having different pathologies such as fibrocystic, ductal carcinoma, inflammatory cancer and angiogenesis. Segmentation of breast hot region is performed after removing non-breast region by multiplying original image and ground truth mask. Left and right breast regions are separated by cropping. Segmentation of images based on particle swarm optimisation for determining the threshold level and further k-means cluster is used to estimate the class prototypes indicated by the dense groupings. The differences between cancerous and non-cancerous cases are identified from segmented images using fractal measures.
Optimization Scheme for Small Files Storage Based on Hadoop Distributed File System

Hadoop Distributed File System (HDFS) becomes a representative cloud platform, benefiting from its reliable, scalable and low-cost storage capability. However, HDFS does not present good storage and access performance when processing a huge number of small files, because massive small files bring heavy burden on NameNode of HDFS. Meanwhile, HDFS does not provide any optimization solution for storing and accessing small files, as well as no prefetching mechanism to reduce I/O operations. This paper proposes an optimized scheme, Structured Index File Merging-SIFM, using two level file indexes, the structured metadata storage, and prefetching and caching strategy, to reduce the I/O operations and improve the access efficiency. Extensive experiments demonstrate that the proposed SIFM can effectively achieve better performance in the terms of the storing and accessing for a large number of small files on HDFS, compared with native HDFS and HAR.
Conformance test results of wideband CDMA user equipment (UE) modem

Test results of a wideband CDMA (WCDMA) UE modem are presented. Various levels of verification were employed. Verification was initiated with a stand-alone test using test equipment which performs the functions of a base-station transceiver system (BTS). A point-to-point functional test between UE and BTS was the subsequent test step, and then a system-level test was launched to validate the system-level issues which can be found in the terminal conformance specification TS34.121.
USING DISTRIBUTED WORD REPRESENTATIONS IN GRAPH-BASED DEPENDENCY PARSING FOR VIETNAMESE

— Dependency parsing has attracted many natural language processing research groups in recent years. Dependency syntax is a form of sentence representation which has many applications in problems such as question answering system, information extraction, text summarization, machine translation . Currently, there are many approaches for dependency parsing and they have achieved high accuracy for different languages. For Vietnamese, our research group has used Skip-gram and GloVe model to produce distributed word representations. Then we used this feature in transition-based dependency parsing system. In this paper, we propose to use distributed word representations in graph-based dependency parsing system with MSTParser
Connecting Symbolic Task Planning with Motion Control on ARMAR-III Using Object-Action Complexes

This thesis presents an architecture enabling humanoid robots to plan and execute sequences of hierarchical Object-Action Complexes (OACs). OACs define expected partial world state transformations resulting from OAC execution. A perception processing system populates short-term memory with abstractions of low-level sensory information. A Central Executive Agent (CEA) communicates short-term memory contents to the symbolic planning system PKS (Planning with Knowledge and Sensing) and receives instructions in the form of OACs. The CEA instantiates OACs from long-term memory with object information from short-term memory in order to execute them. Plan execution is continuously monitored and plans can be adjusted or regenerated autonomously. Zusammenfassung Diese Studienarbeit stellt eine Architektur fur humanoide Roboter vor, die Objekt-Aktion Komplexe (OACs) verwendet um auf einem humanoiden Roboter Handlungsablaufe zu planen und auszufuhren. OACs beschreiben die aus ihrer Ausfuhrung resultierenden partiellen Transformationen des Weltzustands. Ein System zur Verarbeitung von Perzeption fullt das Kurzzeitgedachtnis des Roboters mit abstrahierten Reprasentationen der Sensorinformationen. Ein Zentraler Exekutiver Agent (CEA) sendet die Inhalte des Kurzzeitgedachtnisses an das symbolischen Planungssystem PKS (Planung mit Wissen und Wahrnehmung) und erhalt von ihm in Form von OACs Anweisungen zur Ausfuhrung. Der CEA instanziiert die erhaltenen OACs mit Wissen aus dem Langzeitgedachtnis und Objektinformationen aus dem Kurzzeitgedachtnis um sie anschliesend auszufuhren. Die Ausfuhrung des Plans wird kontinuierlich uberwacht, sodass der Plan gegebenenfalls autonom angepasst oder neu generiert werden kann.
Compact and efficient RGB to RGBW data conversion method and its application in OLED microdisplays

In many electronic information displays, a colour pixel comprises three spatially distinct sub‐pixels containing red, green and blue (RGB) colour filters. The option of adding a fourth white (W) sub‐pixel that allows light to pass through unfiltered can significantly improve the optical efficiency of the pixel that, in turn, increases the power efficiency of the display. Such a display is called an RGBW display, and the required transformation of data format from incoming RGB to pixel RGBW is termed as “RGB to RGBW conversion. ” This paper reports a method of RGB to RGBW conversion that is highly compact and efficient in terms of system resources while retaining image quality. It processes incoming data through a new colour space conversion algorithm in order to reduce the average power consumption with no noticeable visual artefacts. We explain the method and demonstrate its cost‐effective and power‐effective implementation for the specific case of an organic light emitting diode microdisplay.
Vlsi interconnect layout optimization

As VLSI circuitry reaches deep submicron (DSM) device dimension, operates at giga-Hertz clock frequencies, and is packaged in highly integrated multichip modules, the performance of interconnect structures becomes a dominating factor in determining system performance and reliability. The interconnect design and optimization problem is one of the most challenging issues today in the design of high-performance and high-density circuits in the DSM VLSI technologies. This dissertation presents three interrelated topics on VLSI interconnect layout design and optimization: the simultaneous driver/buffer and wire sizing (SD/BWS) problem, the minimum-cost bounded-skew tree (BST) routing problem, and the required-arrival-time Steiner tree (RATS-tree) routing problem. The SD/BWS problem concerns the optimization of the number of cascaded chain of drivers, the driver/buffer sizes, and the wire widths for a given routing tree with prescribed buffer locations such that either (i) the delay is minimized, or (ii) the combined objective of delay and power dissipation is minimized. We establish a general dominance property of the SD/BWS problem. This property leads to a polynomial-time algorithm that computes tight upper and lower bounds of an optimal solution, which enables us to efficiently compute the optimal SD/BWS solution. The minimum-cost BST problem captures several engineering trade-offs in the design of routing topologies with controlled skew. Our BST algorithm constructs bounded-skew routing solutions via constructions of well-behaved merging regions. We present two approaches to construct the merging regions: (i) the boundary merging and embedding (BME) method which utilizes merging points that are restricted to the boundaries of merging regions, and (ii) the interior merging and embedding (IME) algorithm which considers merging points that are interior to, as well as on the boundary of the merging regions. The RATS-tree formulation handles a large class of routing topologies, ranging from shortest-path Steiner routing, bounded-radius Steiner routing, to minimal Steiner routing. In our RATS-tree algorithm, we try to bridge the gap between the timing models used for circuit simulation and those used in interconnect optimization. Our new incremental moment computation method enables easy incorporation of moment computation and accurate delay modeling into interconnect optimization. We perform optimization of topology, wire-sizing, and termination simultaneously to optimize not just signal delay, but also signal integrity under a higher-order interconnect model.
The Good, the Bad and the Ugly: Getting CLIA-Certification for a Basic Research Lab

Next generation sequencing is fast becoming the diagnostic tool of choice for clinicians. This can take the form of targeted sequencing to identify specific variants, such as KRAS mutational analysis for treatment with cetuximab (Erbitux). It can be a targeted panel approach to sequencing a number of genes involved in a specific disease or it can be exome or whole genome sequencing to identify rare variants. As a clinical tool, sequencing must be done in a CLIA-compliant laboratory. One approach institutions have taken is to incorporate clinical sequencing into an existing CAP/CLIA-accredited lab, such as cytogenetics. The alternative approach is to build a CLIA-compliant laboratory from the ground up or make an existing genomics core facility CLIA-compliant. The University of Maryland School of Medicine took that latter approach, by making a genomics core facility CLIA-compliant. This wasn't without difficulty. Issues to consider include (1) a CLIA-qualified director as well as qualified key personnel; (2) appropriate space to allow for a unidirectional work flow separating pre- and post-amplification processes; (3) developing a validation study and implementation for each assay offered and participating in a CLIA-approved proficiency test or sample exchange program; (4) having an experienced quality program manager to oversee the quality program and document management system; (5) having the financial resources to invest in developing and operating this unique regulatory environment. While not trivial, the ultimate goal can be achieved, and the institution can have a genomics core lab that provides comprehensive support to basic research, translational studies and clinical diagnostics.
Numerical recipes in C

Note: Includes bibliographical references, 3 appendixes and 2 indexes. - Diskette v 2.06, 3.5''[1.44M] for IBM PC, PS/2 and compatibles [DOS] Reference Record created on 2004-09-07, modified on 2016-08-08
Physically Based Modeling

Physically based modeling has become an important new approach to computer animation and computer graphics modeling. Although physically based modeling is inherently a mathematical subject, the math involved needn’t be any more difficult nor esoteric than the math that underlies many other areas of computer graphics, such as ray tracing or surface modeling. Many papers on the subject have presupposed a specialized mathematical background that many members of the computer graphics community lack. Consequently, many capable computer graphics practitioners, despite their interest in the subject, have simply been put off by the density of the math.
Semantic Document Processing with xfy technology

In this paper, we describe how xfy technology (1), an XML handling platform, is a pioneer application of the next generation of document processing that has the potential to create a new document paradigm in this new era of semantic computing. The current document processing paradigm focuses on WYSIWYG interfaces to convey ideas through nice-looking documents. However, as attractive as their presentation might be, such documents rarely allow readers to fully appreciate their meaning, since appearance only partially reflects semantic content. We focus on the semantic side of document processing with XML- centric technology that adds value to documents. We see the need for a new document paradigm powerful enough to process documents semantically - even compound documents of arbitrary complexity - and process the information in those documents at any desired granularity. We embodied this new paradigm in the core functionality of xfy.
Comparative analysis of fuzzy inference systems implemented on neural structures

This paper presents comparative analysis of two popular neural fuzzy inference systems, namely, fuzzy adaptive learning control/decision network (FALCON) and adaptive network based fuzzy inference system (ANFIS), and their application to an induction motor fault detection problem. The fault detectors are analyzed with respect to architectural and fuzzy inference system specifications, and the results for motor fault detection are evaluated in terms of fault detection accuracy, knowledge extraction capability, and computational complexity. The advantages and disadvantages of using these two architectures are also discussed. The experimental results suggest a promising future for using neural fuzzy inference systems for incipient fault detection in induction motors.
Expressive Motion Editing Using Motion Extrema

When animating characters, a key goal is the creation of a believable, expressive performance that gives a character a unique personality with a distinct style of movement. While animators are skilled at creating expressive, personalized performances, it remains challenging to change performance-related aspects of movement in existing motion data. In recent years, motion data reuse has become increasingly important as recorded motion capture data has come into widespread use. This thesis investigates the use of a sparse set of pose-centric editing controls for editing existing motion data using techniques similar to those used by keyframe animators when they create new motion. To do this, this thesis proposes the use of motion extrema—the poses a character passes through when there is a significant change in movement—as a means for choosing effective pose-centric editing controls. First, I present algorithms for identifying motion extrema. Motion extrema can be associated with individual joints or the full body of the character. I introduce a set of approaches for identifying motion extrema; these include the use of extrema of differential measures and the explicit search for times at which the body or a joint is in a spatially extreme configuration. I then present three motion editing applications that use motion extrema as a foundation for applying motion edits. The first application, pose-centric editing, allows users to interactively change poses in a motion, and the system modifies the motion to respect existing ground contact. The second application—staggered poses, introduces a model of character pose that explicitly encodes how timing varies among motion extrema on different parts of the body. This timing variation is commonly used by animators to model overlapping action. By introducing an algorithm for finding timing variation on motion extrema in existing motion, this system enables users to make high-level changes to timing patterns to change overlap effects in existing motion. Finally, I present a procedural motion editing application that targets a specific aspect of motion style; this technique is called spatial exaggeration. Spatial exaggeration changes the geometric relationships among extreme poses. Such edits cause movement to appear more or less energetic. Overall, these applications demonstrate that performance-related aspects of existing motion can be edited using a sparse set of controls in the form of motion extrema.
Software Engineering for Adaptive Hypermedia Applications

The Programming and Software Engineering Research Group of the Institute of Computer Science of the Ludwig-Maximilians University of Munich is focusing on software engineering for hypermedia and Web applications in general and, particularly, for adaptive applications. One main goal of the software engineering discipline is to find techniques that support the development process of software applications. Our goal is to find, between others, appropriate analysis and design techniques that support development and authoring of adaptive hypermedia and Web applications. General object-oriented software engineering approaches, such as the Unified Process (Jacobson, Booch & Rumbaugh, 1999) or specific methodologies for hypermedia like RMM (Isakowitz, Stohr & Balasubramanian, 1995), OOHDM (Schwabe & Rossi, 1998), and HFPM (Olsina, 1998) are not sufficient. They do not cover aspects relevant to personalization, i.e. user modeling and adaptation issues. A significant contribution in this field is AHAM (De Bra, Houben & Wu, 1999). AHAM is an application model for adaptive hypermedia that describe such applications from the authors’ point of view. We propose the UML-based Web Engineering approach (UWE) (Koch, 2000 & Koch et. al, 2001). UWE includes a design method for adaptive hypermedia applications and a development process for such applications. UWE is a systematic and object-oriented – in this way they differ from AHAM – design and development approach. We propose an integrated methodology for object-oriented development of adaptive hypermedia (Web) applications by presenting an extension to the Unified Modeling Language (UML). As basis for the software engineering approach we have developed the Munich Reference Model, i.e. a Dexter-based reference model which is formally specified using UML and OCL (Koch, 2000).
Face Recognition based on Facial Composite

Due to the wide range of commercial and law enforcement applications, major advances and initiatives in the past twenty years have propelled biometrics and specifically face recognition technology into the spotlight. Face images have been used for several decades to verify identities. Now, digital face images are used in many applications, including security systems and criminal identifications, as well as computer automated face recognition. Many face recognition software packages have emerged. Most of them require high quality images, others take into account the problem of images coming from low-resolution Close Circuit TeleVision, but the problem of dealing with Facial Composites remains. We will discuss the relevance of a face recognition system using Facial Composite.