Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Virtual Human’s Emotion Expression Model in Field of Digital Entertainment

The essence of digital entertainment is creating emotion experience of users, so constructing virtual human with emotion expression is the key goal in digital entertainment field. Virtual human are three dimension graphics entities, totally produced by computer system, and they can simulate various kinds of characteristics of real human in a virtual world. The requirement of emotion simulation for virtual human was discussed, and the current research of emotion expression in the world was also summarized, and some new research directions of emotion expression model for virtual human were proposed. A virtual human is regarded as an agent with built-in cognitive model that integrates emotion model and cognitive process together. In order to describe the uncertainty of information in the process of emotion decision, emotion expression model should be set up with soft computing method.
Adaptive Control Methods for Non-Linear Self-Excited Systems

Self-excited systems are open loop unstable plants having a nonlinearity that prevents an exponentially increasing time response. The resulting limit cycle is induced by any slight disturbance that causes the response of the system to grow to the saturation level of the nonlinearity. Because there is no external disturbance, control of these self-excited systems requires that the open loop system dynamics are altered so that any unstable open loop poles are stabilized in the closed loop. This work examines a variety of adaptive control approaches for controlling a thermoacoustic instability, a physical self-excited system. Initially, a static feedback controller loopshaping design and associated system identification method is presented. This design approach is shown to effectively stabilize an unstable Rijke tube combustor while preventing the creation of additional controller induced instabilities. The loopshaping design method is then used in conjunction with a trained artificial neural network to demonstrate stabilizing control in the presence of changing plant dynamics over a wide variety of operating conditions. However, because the ANN is designed specifically for a single combustor/actuator arrangement, its limited portability is a distinct disadvantage. Filtered-X least mean squares (LMS) adaptive feedback control approaches are examined when applied to both stable and unstable plants. An identification method for approximating the relevant plant dynamics to be modeled is proposed and shown to effectively stabilize the self-excited system in simulations and experiments. The adaptive feedback controller is further analyzed for robust performance when applied to the stable, disturbance rejection control problem. It is shown that robust stability cannot be guaranteed because
Coherence, Richness and Cognitive Absorption in Website Design

Kaplan’s theory on environmental preferences can offer a holistic perspective on cognitive absorption in e-commerce website design. Drawing on Kaplan’s theory, this paper proposes that coherence and richness of a website can enhance cognitive absorption of users. The findings from our study not only support the hypotheses, but also suggest that coherence and richness can reach an optimal proportion in website design, after which they are inversely correlated.
Multiple-image-based Modeling of Trees

The technique of extracting objects' geometrical representations from images,known as image based modeling,has received considerable attention in both fields of computer vision and computer graphics. In this paper,we present a image based tree modeling method,based on a number of techniques and algorithms in the field of image processing,image morphology,computer vision,as well as computer graphics. Due to the nature of image based modeling,the result model is quite realistic. Efforts were made in every step of the reconstruction process for the sake of acceleration and simplification,which include: 1.A modification of “the Intelligent Scissors” for branch segmentation. 2.A dynamic programming based skeleton extraction algorithm. 3.The implementation of a two step,co planar reference object based calibration algorithm in natural outdoor environments,and 4.Utilization of branch to branch correspondence instead of point to point correspondence to enhance the robustness and simplification of the stereo matching process. The final result shows that our method is not only practical but also efficient and robust.
Research on influence of solving quality based on different initializing solution algorithm in tabu search

Many research results show that TS (tabu search or taboo search) is depended on the selection of initial solutions. For good initial solutions, TS can find better results with quicker speed in the solution space, but poor initial solutions may decrease the TS convergence speed. This paper investigates and compares three common initializing algorithms (greedy, insertion and randomization) to solve the TSP (traveling salesman problem). The experiment shows that if we pursue different solving qualities, and face different problem sizes, we should select different initializing algorithms to generate the initial solutions.
PRÁCTICAS TECNOLÓGICAS Y MATERIAS PRIMAS LÍTICAS EN UN CONTEXTO DOMÉSTICO DEL VALLE DEL CAJÓN (SANTA MARÍA, CATAMARCA)

Este trabajo presenta parte de los resultados del estudio de los materiales liticos tallados recuperados en un recinto (E1) del sitio arqueologico Cardonal (Dpto. Santa Maria, Catamarca), el cual fue interpretado como una cocina. Los analisis realizados tuvieron como objetivo la reconstruccion y comprension de algunos aspectos de las practicas tecnologicas liticas que se llevaron adelante en este contexto, durante parte del primer milenio de la era. Desde una vision de la tecnologia como habitus , y a partir de un enfoque analitico de tipo tecnico-morfologico, se analizaron tanto aspectos materiales del proceso de produccion litica como otros relacionados con los modos de hacer y las practicas tecnologicas recurrentes. Si bien se registro una amplia variedad de recursos liticos en la E1, este trabajo focaliza en una variedad de basalto ( Bs1 ) y el cuarzo, que son las materias primas que muestran frecuencias marcadamente predominantes dentro del conjunto artefactual analizado. Sin embargo, se pudo observar una serie de diferencias entre ellas, con respecto a sus potenciales disponibilidades, frecuencias relativas de utilizacion, tecnicas de talla utilizadas, su aprovechamiento dentro de las actividades de produccion litica y los productos finales obtenidos. Esta situacion estaria evidenciando que el basalto Bs1 y el cuarzo se implicaban en distintas practicas tecnologicas, relacionadas con modos de hacer y habitus tecnologicos diferentes.
Pentingnya kecerdasan Budaya Dalam Merespon Kompleksitas Keberagaman Di Era Revolusi Industri

Tantangan dunia pendidikan dalam menghadapi era revolusi industri tidak hanya berhubungan dengan kemelekan individu dalam memanfaatkan peluang dan kemajuan teknologi, akan tetapi juga kemampuan individu dalam merespon kompleksitas keberagaman dalam segala bidang kehidupan sehingga setiap individu memiliki kemampuan dalam beradaptasi dengan segala kondisi yang ada dengan memanfaatkan salah satu kompetensi yaitu kecerdasan budaya. Kecerdasan budaya merupakan kemampuan individu untuk berfungsi secara efektif dalam situasi keragaman. Penelitian ini menggunakan pendekatan deskriptif kualitatif dengan jenis penelitian kepustakaan yaitu mengumpulkan data yang tertumpu pada penelaahan kritis dan mendalam terhadap bahan-bahan pustaka yang relevan (Nana Syaodih Sukmadinata, 2007 hal 60-61). Dengan demikian dalam penelitian ini difokuskan pada penelaahan sumber-sumber serta bahan-bahan referensi yang berkaitan dengan teori dan konsep kecerdasan budaya. Pentingnya kecerdasan budaya bagi guru dan peserta didika dapat dilihat dari pengembangann faktor-faktor kecerdasan budaya yang terdiri dari: Metacognitive CQ yaitumotivasi internal untuk terlibat dalam proses perubahan, CQ Cognitif yaitu proses mengartikulasikan berbagai skema budaya, Motivational CQ yaitu senang akan perbedaan budaya, CQ Perilaku yaitu kapasitas untuk mengubah perilaku selama proses interaksi
GIS-Based Identification Of Overloaded Distribution Transformers & Calculation Of Technical Electric Power Losses

This research was designed with the objectives to develop a standalone GIS application for electrical power distribution network companies having the capability of loss calculation as well as identification of overloaded transformers. For this purpose Hilal Road feeder in Faisalabad Electric Supply Company (FESCO) was selected as study area. An extensive GPS survey was conducted to identify each consumer, linking it to secondary pole of the transformer, geo-referencing equipments and documenting conductor sizes. To identify overloaded transformer, accumulative kilowatt hour (kWh) reading of consumer on transformer was compared with threshold kWh. Technical losses of 11kV power transformer and 220V lines were calculated using the data from substation and resistance of the network calculated from the geo-database. To automate the process a standalone GIS application was developed using ArcObjects with engineering analysis capabilities. The application uses GIS database developed for 11kV and 220V lines to display and query spatial data and present results in the form of graphs. The result shows that about 14% of technical loss on both high tension (HT) and low tension (LT) network while about 4 out of 15 general duty transformers were found overloaded. The study shows that GIS can be a very effective tool for distribution companies in management and planning of their distribution network.
Efficient Information Gathering in Discrete Bayesian Networks

This paper construct upper and lower bounds for expected values of convex functions for Multivariate Totally Positive distributions of order 2. The bounds can be iteratively improved, and can be used to optimize information measures or value of information utilities for Bayesian Networks with the property of being Multivariate Totally Positive of order 2. The bounds are applied on a simple illustrating synthetic example with binary variables for simplicity. The construction of the bounds is inspired by the local updates made by the message passing in the Junction Tree Algorithm, and utilizes the coherent covariance structure of Multivariate Totally Positive distributions of order 2. The resulting formula allows for preprocessing in the full joint to construct pairs of smaller local distributions covering different parts of the network, from which the upper and lower bounds are efficiently constructed.
Metodologias ativas na educação física - propostas de utilização no processo de ensino aprendizagem

Resumo : O presente artigo aborda o conceito de metodologias ativas e as principais transformações que estão ocorrendo nos processos de ensino aprendizagem na área de educação física. Compreende-se essas como novas práticas pedagógicas que consistem em colocar o aluno como protagonista na construção da aprendizagem, diferenciando do método tradicional. Por conta disso, foi realizado um estudo através de um revisão bibliografica dentro dos principais sites de pesquisa, a fim de ter melhor clareza sobre uso das metodologias ativas utilizadas por seus docentes em sala de aula e sobre as possíveis capacidades que são por eles desenvolvidas na construção do conhecimento. Pelos resultados obtidos, conclui-se que usar práticas pedagógicas inovadoras, bem como usufruí-las da melhor maneira, os estudantes as identificam e as consideram benéficas para o seu desenvolvimento estudantil e profissional. Além disso, acredita-se que quando docentes e discentes atuam juntos, os processos de aprendizagem e de ensino são mais eficazes.
A model of signaling quality in supply chains by corporate social responsibility

This paper studies a supply chain consisting of an upstream supplier, a downstream retailer and final consumers. The supplier owns privately the information on the product quality level and signals it by CSR strategy. Under this quality information asymmetry, in order to examine the role of CSR on signaling the quality level, we build a signaling model to capture how the supplier indirectly share the quality information by its CSR strategy, and characterize the separate equilibriums. The equilibrium results show that under some technical conditions, a high enough CSR level signals a high quality level in the sense of a separate equilibrium, which provides supply chain managers with an implication on choosing a direct or an indirect way to sharing information conditional on a known cost of direct information sharing.
Study on rapid highly accurate acoustic wave numerical simulation in frequency space domain

There are many advantages of the numerical simulation on seismic waves in frequency-space domain: without accumulative error,with finite frequencies s inversion can comparable with the time domain full bandwidth s inversion result,easily realizing the absorption and attenuation s effect that can t be accurately realized in time domain.Once the frequency domain equations are discretized to form matrix equation.The coefficient matrix is a very huge,sparse,nonsymmetric,nondefinite,complexed value matrix.We must solve a large number of linear equations,the biggest bottleneck of frequency domain simulation method is the huge demand for computer s memory and computing cost.We adopt the nested-dissection method which can decrease the requiring of computer capacity greatly and decrease the computing amount.For multi-shot forward modelling,we propose a fast computational procedure of acoustic wave simulation in frequency-space domain.Numerical results demonstrate that nested- dissection has many advantages comparing to compressed storage format,such as saving a huge storage and computing time and having a high computing efficiency,which provides a good basis for the following acoustic wave full waveform inversion in frequency-space domain.
Error-Tolerance in Trace-Driven Cache Collision Attacks

We present enhancements of the trace-driven cache collisio na ttack against embed- ded AES implementations presented at WISA 2010. First, we improve the attack to reduce the remaining exhaustive search complexity from 2 32 to at most 10 AES encryptions. Second, we extend the tolerance to errors in cache event detection to thefull attack and show that the attack is e! cient even for the significant error probabilities. Finally, we show that previous univariate models for estimating attack complexity are not good, and present the multivariate model which is easy to simulate. Our attack is comparable to DPA in terms of complexity, while being of a di"erent nature. We also show by further explorations on an ARM platform that cache events are distinguishable in practice.
Serebral palsili çocuklarda nörogelişimsel tedaviye dayalı gövde eğitiminin gövde kontrolüne etkisi

Amac: Bu calismada, spastik diplejik serebral palsili (SP) cocuklarin motor fonksiyonlarini yerine getirmede onemli yer tutan govde kontrolu ve govde kontrolune yonelik egzersizlerin kas kuvveti ve denge uzerine olan etkisinin degerlendirilmesi amaclandi. Yontem: Calismaya Kaba Motor Fonksiyon Siniflama Sistemi’ne (KMFSS) gore seviyeleri I, II ve III olan, yaslari 3-10 yil arasinda degisen 40 spastik diplejik SP’li cocuk dahil edildi. Cocuklar egzersiz ve kontrol grubu olarak iki gruba ayrildi. Egzersiz grubuna, haftada 2 gun 45 dakika suren 6 hafta boyunca konvansiyonel fizyoterapi programlarina ek olarak govde kontrolune yonelik Norogelisimsel Tedavi - Bobath (NGT-Bobath) programi uygulandi. Kontrol grubu ise, haftada 2 gun 45 dakika suren konvansiyonel fizyoterapi programlarina devam etti. Kontrol grubunun mevcut tedavi programina herhangi bir mudahalede bulunulmadi. Gruplara baslangicta ve 6 hafta sonra Pediatrik Berg Denge Olcegi, Govde Kontrol Olcum Skalasi uygulandi. Cocuklarin govde kas kuvvetleri ayrica degerlendirildi. Bulgular: Tedavi sonrasinda egzersiz grubu ile kontrol grubu arasinda Pediatrik Berg Denge Olcegi sonuclarinda ve govde kas kuvvetinde egzersiz grubu lehine fark bulundu (p<0.05). Ayrica egzersiz grubunun tedavi sonrasi; Govde Kontrol Olcum Skalasi, Pediatrik Berg Denge Olcegi ve tum govde kaslarinin kuvveti tedavi oncesine gore anlamli iyilesme gosterdi (p<0.05). Sonuc: Bu calisma, SP’li cocuklardaki klasik fizyoterapi ve egzersiz programina govdeye yonelik egzersizlerin eklenmesinin kas kuvvetini artirdigini ve dengeyi olumlu yonde etkiledigini gosterdi.
Enactment of dynamic programming tactic Formation of virtual topology on optical fiber

: Fiber optic networks-WDM technology - Construction of the virtual topology on the existing physical network-Dynamic programming model has developed to produce stage wise different traffic matrices for conventionally finding the shortest path from each source to different destinations-various number of optical transceivers. Experimental study on14 node (NSFNET) traffic matrices
Logic languages based on functions: semantics and implementation

This dissertation aims at relating the well-developed field of functional programming with the newly emerging logic programming. Functional programming is based on the computational notion of reducing expressions to other semantically equivalent expressions. In particular, a successful reduction of a variable-free expression reduces it to its value. Logic programming, on the other hand, is based on the computational notion of solving statements with free variables to find valid instantiations of the variables. This richer notion of computation endows logic languages with more expressive power than functional languages. However, conventional logic languages are based on predicates specified by Horn clauses and lack the input-output directionality present in functional languages. In addition to providing convenient human-oriented syntax, directionality is useful for specifying control information (a requirement for the development of parallel implementations) and for lazy evaluation. It is shown that logic programming--the ability to solve statements--can be obtained in functional languages. This involves using an operational mechanism called narrowing instead of the conventional reduction. Narrowing, then, transforms a functional language into a logic language based on functions. Moreover, such a logic language subsumes Horn clause logic languages and thus provides all the expressive power of logic programming, while retaining the notion of input-output directionality. This dissertation presents the semantic foundations and the implementation methods for functional logic languages.
Dual-hop Routing Protocol for Improvement of Energy Consumption in Layered WSN Sensor Field

This paper proposes to increase the node energy efficiency, which rapidly drops during the transmission of L-TEEN (Layered Threshold sensitive Energy Efficient sensor Network protocol), using the method of DL-TEEN (Dual-hop Layered TEEN). By introducing dual-hop method in the data transmission, the proposed single-hop method for short-range transmission and multi-hop transmission method between the cluster heads for remote transmission was introduce. By introducing a partial multi-hop method in the data transmission, a single-hop method for short range transmission method between the cluster heads for remote transmission was introduces. In the proposed DL-TEEN, the energy consumption of cluster head for remote transmission reduces and increases the energy efficiency of sensor node by reducing the transmission distance and simplifying the transmission routine for short-range transmission. As compared the general L-TEEN, it was adapted to a wider sensor field.
Intertester and intratester reliability of a dynamic balance protocol using the Biodex Stability System

Evaluating balance can be an important part of the rehabilitation protocol of an athletic injury. One purpose of this study was to determine the intertester and intratester reliability scores of single-leg stability on a platform of gradually decreasing stability using the Biodex Stability System (BSS). The second purpose was to determine intertester and intratester reliability scores of subject foot placement on the BSS. Subjects (N = 19) underwent a familiarization session on Day 1 that included five 30-s balance tests on the BSS. In each of the five tests, platform stability gradually decreased over the 30 s. Subjects were tested without footwear at all times. On the second day, each subject was tested twice by the same investigator and once by a second investigator using the same 30-s test. Investigator tests were counterbalanced to eliminate order effects. Intertester intraclass correlations (ICCs) ranged from . 70 to . 42 for stability index and from . 93 to . 54 for foot placement. Intratester ICCs ran.
Design and analysis of privacy-preserving medical cloud computing systems

Current financial and regulatory pressure has provided strong incentives to institute better disease prevention, improved patient monitoring, and push U.S. healthcare into the digital era. Outsourcing medical applications to a cloud operator helps healthcare organizations (HCO) to provide better patient care without increasing the associated costs. Despite these advantages, the adoption of medical cloud computing by HCO’s has been slow due to the strict regulations on the privacy of Personal Health Information (PHI) dictated by The Health Insurance Portability and Accountability Act (HIPAA). In this dissertation, we propose a novel privacy-preserving medical cloud computing system with an emphasis on “secure computation. ” The proposed system enables monitoring patients remotely outside the HCO using ECG signals. To eliminate privacy concerns associated with the public cloud providers, we utilize Fully Homomorphic Encryption (FHE) to enable computations on encrypted PHI data. Despite well-known performance penalties associated with FHE, we propose two methods for an e cient implementation. Specifically, we model our applications using two computational models: circuit and branching program, and propose optimizations to improve run-time performance. We compare our FHEbased solution with conventional and Attribute Based Encryption schemes for secure a) storage, b) computation, and c) sharing of the medical data. We show that despite the overhead compared to existing encryption schemes, our system can be implemented with a reasonable budget with major public cloud service