Miracle-dz/UniFAR-FTUs huggingface dataset:
GPU-based Motion Blending for Motion Graphs

Character animation, bringing virtual characters to life, plays an important role in modern filmmaking, video games and virtual reality simulations. Recently, the motion graph has been widely used in the motion synthesis of character animations. An effective motion graph should take into account both the diversity of motions and the time cost of graph construction and search. However, motion graph approach becomes time consuming as graph size increases. Due to the fact that the most time consuming step in motion synthesis is the blending operations, which builds the whole motion graph. Sometimes it takes hours to build a graph. A compromise between visual quality and performance needs to be found. But the efficient use of modern programmable graphics hardware offers potential to increase both visual quality and performance. A major aspect lies in the architecture of modern graphics hardware, known as graphics processing units (GPUs). In this paper, we propose the GPU-based motion blending algorithm for motion graphs.
Energy efficient topology control in multi-hop wireless networks based on one-hop and two-hop neighbor information

Topology control in multi-hop wireless networks is a technique used to control nodes' activities to construct a topology with an acceptable level of network connectivity while minimizing energy consumption. It can be broadly classified into two main paradigms which are State Scheduling and Transmission Power Control. Both of them have received lots of attention from many researchers for decades. According to Transmission Power Control technique, most of them take into account only one-hop neighbor information to optimize transmission power and control topology in multi-hop wireless networks. In this paper, an energy efficient topology control based on both one-hop and two-hop neighbor information is proposed to reduce energy consumption without degrading network performances. A number of simulation scenarios are constructed in this work to study energy consumption as well as other network performances that are end-to-end delay, throughput, and packet delivery ratio of the proposed algorithm.
Comparison of Complementary and Modular Linear Flux-Switching Motors With Different Mover and Stator Pole Pitch

Linear flux-switching permanent magnet (LFSPM) motors with both permanent magnets and armature windings on the short primary mover have attracted considerable attention due to their simple and cheap stator which only consists of iron. Hence, this kind of liner motor is very suitable for long stator applications such as in urban rail transportations. However, the conventional LFSPM motors directly split from rotary FSPM motor suffer from drawbacks such as unbalanced magnetic circuit of end coil, heavy mover, and bigger cogging force and force ripple. Modular LFSPM (MLFSPM) motors can mitigate the problem of unbalanced magnetic circuit of end coil. But some MLFSPM motors with different stator/mover pole pitch τs/τm=12/14, 12/10 don't have complementary phase armature windings, which will lead to asymmetrical and non-sinusoidal back-electromotive force, bigger cogging force and thrust force ripple. The key of this paper is to propose, investigate, and compare four complementary and modular structures for the LFSPM motors with different τs/τm . The electromagnetic performance and dimensions of the proposed complementary MLFSPM motors with different τs/τm are investigated, compared and confirmed by the means of finite element analysis and experimental results. Based on the analysis results, two complementary MLFSPM motors with τs/τm=12/13 are chosen to be the two best motors, which can offer the biggest thrust force, relatively smaller cogging force and thrust force ripple, and shorter mover length.
A 2.4GHz direct modulated 0.18μm CMOS IEEE 802.15.4 compliant Transmitter for ZigBee

This paper presents improved fractional-N based transmitter architecture, fully compliant with ZigBee IEEE 802.15. 4 standard. Operating in the 2.4 GHz ISM frequency range, the fractional-N PLL based synthesizer architecture achieves an integrated phase noise of 2.6 deg rms (250 Hz - 1.5 MHz). The transmitter error-vector magnitude (EVM) for MSK modulated signals is 5.3 % with an output level of approximately +4 dBm. This transmitter is incorporated in a single-chip RF transceiver providing a complete antenna-to-micro controller radio interface
Ternary trees usage for computational experiment data storage

Repository for a great number of the suspected function runs must often be organized during the realization of numerical global optimization method or program modules testing methods. In this connection the problem of a fastaccess search of required element arises. A way to solve the problem can be found through the organization of an effective data repository, which allows for rapid implementation of the search and insertion of new elements. The binary and ternary trees storage options are considered in the paper, their comparison is made, recommendations for use of analyzed data models are reported.
Simple-Random-Sampling-Based Multiclass Text Classification Algorithm

Multiclass text classification (MTC) is a challenging issue and the corresponding MTC algorithms can be used in many applications. The space-time overhead of the algorithms must be concerned about the era of big data. Through the investigation of the token frequency distribution in a Chinese web document collection, this paper reexamines the power law and proposes a simple-random-sampling-based MTC (SRSMTC) algorithm. Supported by a token level memory to store labeled documents, the SRSMTC algorithm uses a text retrieval approach to solve text classification problems. The experimental results on the TanCorp data set show that SRSMTC algorithm can achieve the state-of-the-art performance at greatly reduced space-time requirements.
Enhanced Duplication Method with TMR-Like Masking Abilities

This paper proposes a method improving the fault-coverage capabilities of Field Programmable Gate Array (FPGA) designs. Faults are mostly single event upsets (SEUs) in the configuration memory of SRAM-based FPGAs and they can change the functionality of an implemented design. These changes may lead to crucial mistakes and cause damage to people and environment. The proposed method utilizes Concurrent Error Detection (CED) techniques and the basic architectures of actual modern FPGAs -- the Look-Up Table (LUT) with two outputs. The Parity Waterfall method (based on a cascade -- waterfall -- of several waves of inner parity generating the final parity of outputs of the whole circuit) presented in our previous paper has been encapsulated into a Duplication scheme in this paper. This encapsulation allows us to create a system containing two independent copies of all parts able to detect and localize any single fault (like common Triple Modular Redundancy (TMR) method). Experiments are performed on the standard set of IWLS2005 benchmarks in our simulator. The results demonstrate differences between our proposed method in comparison with TMR -- the proposed method has a lower relative overhead and requires a lower number of inputs and outputs.
Appling parallelism in image mining

Image mining deals with the study and development of new technologies that allow accomplishing this subject. A common mistake about image mining is identifying its scopes and limitations. Clearly it is different from computer vision and image processing areas. Image mining deals with the extraction of image patterns from a large collection of images, whereas the focus of computer vision and image processing is in understanding and/or extracting specific features from a single image. On the other hand it might be thought that it is much related to content-based retrieval area, since both deals with large image collections. Nevertheless, image mining goes beyond the simple fact of recovering relevant images, the goal is the discovery of image patterns that are significant in a given collection of images. As a result, an image mining systems implies lots of tasks to be done in a regular time. Images provide a natural source of parallelism; so the use of parallelism in every or some mining tasks might be a good option to reduce the cost and overhead of the whole image mining process. At this work we will try to draw the image minnig problem: its computational cost, and to propose a possible global or local parallel solution. Keyword: Image mining, image indexing and retrieval, object recognition, image clustering, association rule mining, parallel systems, parallel techniques.
Reducing Receiver ’ s Storage in CS , SD and LSD Broadcast Encryption Schemes ∗

This paper deals with broadcast encryption schemes, in which a sender can send information securely to a group of receivers excluding some receivers over a broadcast channel. In this paper we propose modifications of the Complete Subtree (CS), the Subset Difference (SD) and the Layered Subset Difference (LSD) methods based on the Master Key Tree (MKT). Our modifications eliminate log N keys or labels from receivers’ storage, in exchange for an increase in the computational overhead, where N is the total number of receivers. We also propose modifications of the SD and LSD methods by applying the Trapdoor One-way Permutation Tree (TOPT) which is originally proposed in order to modify the CS method. Our modifications based on TOPT also eliminate log N labels, and the computational cost is much smaller than MKT based methods. key words: broadcast encryption, stateless receiver, complete subtree, subset difference, master key, trapdoor one-way permutation
A 5 GHz Digitally Controlled Synthesizer in 90 nm CMOS

A digitally controlled synthesizer (DCS) using a delay accumulator and a frequency divider is presented. The system operates with an output tuning range of 2.44 MHz to 2.5 GHz using a 5 GHz reference clock with a power consumption of 125 mW. It is designed in the IBM 90 nm CMOS process. The mostly digital design has no jitter accumulation, high tolerance to device and process variations, and a small form factor. The novel delay accumulator prevents the need of propagating carries reducing power dissipation and area. The design is tolerant to total ionizing dose radiation and single-event upsets. Keywords-component; digital oscillator; reverse body bias; digital frequency divider; jitter
SDN Based Architecture for Clustered WSN

In this paper, we propose to the concept of software-defined networking (SDN) in wireless sensor networks (WSNs) with a structured and hierarchical management. We argue that structured and hierarchical management using SDN promises a solution to some inherent problems in WSN management. Furthermore, we propose a cluster based architecture with multiple base stations as hosts for the SDN control functions and as cluster heads in the same time. We also suggest a general architecture for a software-defined wireless sensor network where the controller exchanges information with other SDN domains. We call this new architecture: software-defined clustered sensor networks (SDCSN). In addition we highlight some future directions and raise some important questions that need to be investigated in future research in software-defined networks for ad-hoc and sensor networks.
An Evaluation of Dynamic Partial Reconfiguration for Signal and Image Processing in Professional Electronics Applications

Signal and image processing applications require a lot of computing resources. For low-volume applications like in professional electronics applications, FPGA are used in combination with DSP and GPP in order to reach the performances required by the product roadmaps. Nevertheless, FPGA designs are static, which raises a flexibility issue with new complex or software defined applications like software-defined radio (SDR). In this scope, dynamic partial reconfiguration (DPR) is used to bring a virtualization layer upon the static hardware of FPGA. During the last decade, DPR has been widely studied in academia. Nevertheless, there are very few real applications using it, and therefore, there is a lack of feedback providing relevant issues to address in order to improve its applicability. This paper evaluates the interest and limitations when using DPR in professional electronics applications and provides guidelines to improve its applicability. It makes a fair evaluation based on experiments made on a set of signal and image processing applications. It identifies the missing elements of the design flow to use DPR in professional electronics applications. Finally, it introduces a fast reconfiguration manager providing an 84-time improvement compared to the vendor solution.
Waste minimization and utilization in the food industry : Processing of arctic berries , and extraction of valuable compounds from juice-processing by-products

This research work is focused on the processing of berries into fruit juices from the point of view of waste minimization and environmental best-practice technologies. Environmental bestpractice technologies aim to satisfy consumer demands, while the production process is optimised in order to have the least impact on the environment. The optimisation includes the reduced utilization of raw materials, less energy and water use, while, as a result less process waste and effluent is generated. However, in the process design or re-design, special attention is to be given to safety. As a part of the best-practice technologies the more cost-effective and environmentally friendly preservation of the fruit juices by pressure driven membrane processes will be introduced. In cooperation with researchers of the MARAKASSI project, the Laboratory of Mass and Heat Transfer (Department of Process and Environmental Engineering) at the University of Oulu, the implementation of environmental best-practice technologies in fruit juice processing for waste minimization; and development of solid waste utilization methods that are effective, economic, and environmentally friendly are endorsed.
Equilibrium Effects of Liquidity Constraints

Investors do not internalize the interaction between debt accumulation and asset prices when they decide on their borrowing. This leads to credit expansions, which are mostly followed by a collapse in asset prices, so it amplifies booms and busts in the economy. This paper studies welfare analyses of the macroprudential policy that limits the borrowing capacity of investors by regulating the loan-to-value ratio of the asset. The results show that investors' borrowing capacity should be limited during booms when investors are overoptimistic, whereas it should not be limited during busts when they are overpessimistic. Overall, the optimal macroprudential policy on the loan-to-value ratio of the asset is countercyclical: letting investors borrow as much as they can during a recession and limiting the loan-to-value ratio of the asset during an expansion.
Smartphone continuous authentication based on keystroke and gesture profiling

Recently, smartphones have become increasingly popular, whereas data leakage continues to be a serious problem for many large organizations. Consequently, smartphone applications containing sensitive personal or company data are at risk when targeted by attackers. Continuous and passive authentication is a popular scheme for secretly classifying users' identities based on their own unique touch motions (i.e., keystrokes and gestures). However, previous methods are inadequate when classifying users' singular touch motions. In this paper, we propose a novel continuous authentication method. The proposed method not only profiles behavioral biometrics from keystrokes and gestures, it also acquires the specific properties of a one-touch motion during the user's interaction with the smartphone. We demonstrate that the manner by which a user uses the touchscreen - that is, the specific location touched on the screen, the drift from when a finger moves up and down, the area touched, and the pressure used - reflects unique physical and behavioral biometrics. Moreover, the speed of the Gesture Segment (GS) is defined to extract a meaningful velocity segment. Experiments conducted to evaluate the proposed method for combining keystroke and gesture behavior demonstrate its effectiveness and accuracy.
Turning the WTP-WTA Gap Off and On: Subject Samples and Endowment Effect

Endowment effect is a significant finding in behavioral decision theory. Loss aversion has long been regarded as its cause. This paper argues that many observed endowment effects are due to “sampling errors”, and thus loss aversion cannot serve as an explanation. We propose a special structure of supply and demand curves of the population, among which specific subjects – people whose WTPs are the highest among the population – can overcome endowment effect. A series of experiments are conducted to turn the WTP-WTA gap off and on by simply drawing different subject samples. This study provides a novel understanding of endowment effect and the special structure of market participants.
Whither Discrete Time Model Predictive Control?

This note proposes an efficient computational procedure for the continuous time, input constrained, infinite horizon, linear quadratic regulator problem (CLQR). To ensure satisfaction of the constraints, the input is approximated as a piecewise linear function on a finite time discretization. The solution of this approximate problem is a standard quadratic program. A novel lower bound on the infinite dimensional CLQR problem is developed, and the discretization is adaptively refined until a user supplied error tolerance on the CLQR cost is achieved. The offline storage of the required quadrature matrices at several levels of discretization tailors the method for online use as required in model predictive control (MPC). The performance of the proposed algorithm is then compared with the standard discrete time MPC algorithms. The proposed method is shown to be significantly more efficient than standard discrete time MPC that uses a sample time short enough to generate a cost close to the CLQR solution.
Generation of Source Terms in General Relativity by differential structures

In this paper the relation between the choice of a differential structure and a smooth connection in the tangential bundle is discussed. In the case of four dimensions we obtain a correction of the connection, constructed by intersections of embedded surfaces, which cannot be neglected by a gauge transformation. This correction produces a source term in the equation of the general relativity theory which can be interpreted as the energy - momentum tensor of two embedded strings meeting at one point. Additionally we obtain a non-trivial torsion generated by the change of the differential structure.
Cost-Minimization Model of a Multidisciplinary Antibiotic Stewardship Team Based on a Successful Implementation on a Urology Ward of an Academic Hospital

Background In order to stimulate appropriate antimicrobial use and thereby lower the chances of resistance development, an Antibiotic Stewardship Team (A-Team) has been implemented at the University Medical Center Groningen, the Netherlands. Focus of the A-Team was a pro-active day 2 case-audit, which was financially evaluated here to calculate the return on investment from a hospital perspective. Methods Effects were evaluated by comparing audited patients with a historic cohort with the same diagnosis-related groups. Based upon this evaluation a cost-minimization model was created that can be used to predict the financial effects of a day 2 case-audit. Sensitivity analyses were performed to deal with uncertainties. Finally, the model was used to financially evaluate the A-Team. Results One whole year including 114 patients was evaluated. Implementation costs were calculated to be €17,732, which represent total costs spent to implement this A-Team. For this specific patient group admitted to a urology ward and consulted on day 2 by the A-Team, the model estimated total savings of €60,306 after one year for this single department, leading to a return on investment of 5.9. Conclusions The implemented multi-disciplinary A-Team performing a day 2 case-audit in the hospital had a positive return on investment caused by a reduced length of stay due to a more appropriate antibiotic therapy. Based on the extensive data analysis, a model of this intervention could be constructed. This model could be used by other institutions, using their own data to estimate the effects of a day 2 case-audit in their hospital.
The pharmacokinetics of edoxaban for the prevention and treatment of venous thromboembolism

Introduction: Thromboembolic diseases will become the most important contributors to mortality and morbidity for modern societies. Current antithrombotic strategies using heparins or vitamin K antagonists are inconvenient, with limitations and inherent side effects. A series of new oral anticoagulants with powerful and reliable antithrombotic actions have been developed in the last decade. Areas covered: Edoxaban is a direct and specific inhibitor of activated factor X, delivered orally. This article reviews literature from PubMed and articles referenced within. The text explores the pharmacological aspects of its antithrombotic action. Pharmacokinetics, metabolism and drug interactions are examined. The review places the results of recent clinical trials that have evaluated the antithrombotic potential of edoxaban versus standard antithrombotic therapies in the prophylaxis and treatment of venous thromboembolism into perspective. The possible relationship between the pharmacokinetic profile of edoxaban and the favorable results in clinical trials is discussed. Expert opinion: Edoxaban is perceived as a major advance, compared to vitamin K antagonists, in the prevention and treatment of thromboembolic disease given its favorable efficacy, safety, pharmacokinetic profile and renal clearance. The results of ongoing large international trials exploring the prevention of thrombotic complications in patients in different clinical settings should ensure the approval of edoxaban to treat new indications.
An LMS Based Algorithm for reduced Finite Precision Effects

This paper proposes a new Least Mean Square (LMS) based algorithm aimed for acoustic echo cancellation. The algorithm is an elaboration of an existing algorithm developed for the Konftel 200 conference phone. The purpose of the algorithm is to reduce the effects of quantization with only a small increase in computational load as compared to the LMS algorithm. The algorithm makes use of the specific transfer characteristic of certain systems, e.g. hands-free phones, in combination with finite wordlength precision arithmetic. It is shown, both analytically and with simulations that the new algorithm outperforms the LMS algorithm when implemented in a two's-complement arithmetic system identification scheme. Key-Words: LMS, Finite Precision, Quantization, Hands-free, Acoustic Echo Cancellation, DSP 1 Also with Konftel Technology AB, Sweden http://www.konfteltech. com 2 Was with Konftel Technology AB, Sweden
Prototype Demonstration: Using Link Analysis to Identify Aspects in Faceted Web Search

Are you looking for information about (cid:16)bush(cid:17) in the context of Politics or Gardening, with focus on government sources or news agencies? Faceted Search can improve your web search by o(cid:27)ering drill-down options towards such speci(cid:28)c aspects, particularly in controlled document collections with rich human-edited annotations. The Web, for the most part, however lacks appropriate metadata; only a small fraction is covered by taxonomies or folksonomies. In this paper, we show that the Web’s intrinsic link structure is su(cid:30)cient to enable an automatic faceting on such a large and dynamic document collection. We present an e(cid:30)cient method for identifying aspects within fulltext search. For each aspect, we allot fuzzy membership values based on Personalized PageRank to all pages, then we compare them in order to derive context information. A prototype implementation is available online.