Miracle-dz/UniFAR-FTUs huggingface dataset:
LQG control of elastic servomechanisms based on motor position measurements

The control of the load position in an elastic servo positioning system is addressed. Compliant with a design constraint common in industrial robotics and the machine tool industry, this study assumes that the motor position only is measured. LQG methods are used to observe and feedback the whole state of the system. Particular attention is devoted to some practical issues such as the role and tuning of an integral action and of feedforward filters for setpoint tracking, and the choice of the weights for LQ design. Experimental comparison to state of the art PID design is discussed.
An American national corpus: a proposal

This paper proposes the development of an American National Corpus comparable to the British National Corpus. Corpus-analytic work has demonstrated that the use of the British National Corpus is inappropriate to study of American English, due to the numerous differences in the use of the language. We also propose that the corpus include a component of texts in other major North American languages, notably Spanish and French, and ideally a parallel component containing texts in these languages aligned to the English. The development of an ANC will demand a significant commitment from the funding agencies and the research community; such an effort would, however, significantly contribute to language and linguistic research as well as the U.S. National Digital Libraries Initiative and other large-scale projects.
Trusted Cloud Computing Platform into Infrastructure as a Service Layer to Improve Confidentiality and Integrity of VMs

Out of the newly emerging and promising technologies is Cloud computing and Infrastructure-as-a-Service (IaaS) which can also be claimed as something the adoption of which is hampered by data security concerns. Simultaneously, Trusted Computing (TC) is also getting its burning interest as security mechanism for IaaS. This paper presents a protocol and addresses the issue of the lack of an implementable mechanism with a proportion that it will ensure the launch of a virtual machine (VM) instance on a trusted remote compute host. A trusted launch protocol for VM instances and images in public IaaS environments has been designed for Relying on Trusted Platform Module operations such as binding and sealing to provide integrity guarantees for clients that require a trusted VM launch. This paper also presents an evidence -of-concept implementation of the protocol that is solely based on Open Stack, an opensource IaaS platform. The proposed results would provide a strong stand for the use of TC mechanisms within IaaS platforms. It will also open the path for a bigger applicability of TC to IaaS security. This technology empowers the companies to take the costs down by outsourcing computations which are on-burning demand. Nevertheless, clients of cloud computing services at present do not have any means by which they can verify the confidentiality and integrity of their data and computation. This problem is addressed to propose the design of a trusted cloud computing platform (TCCP). To impart a closed box execution environment, TCCP empowers Infrastructure as a Service (IaaS) providers such as Open stack IaaS platform. It also ensures the confidential execution of guest virtual machines. Besides, it also lets the users confirm to the IaaS provider and determine if the service is secure before they launch their virtual machines.
An Example-Based Natural Language Dialogue System for EPG Information Access

In this paper, we present an example-based natural language dialogue system for Electronic Program Guide Information Access. We introduce an effective and practical dialogue management technique incorporating dialogue examples and situation-based rules. In order to generate cooperative responses to smoothly lead the dialogue with users, our natural language dialogue system consists of natural language understanding, dialogue manager, system utterance generator. and EPG database manager. Each module is designed and implemented to make an effective and practical natural language dialogue system. In particular, in order to reflect the up-to-date EPG information which is updated frequently and periodically, we applied a web-mining technology to the EPG database manager, which builds the content database based on automatically extracted information from popular EPG websites. The automatically generated content database is used by other modules in the system for building their own resources. Evaluations show that our system performs EPG access task in high performance and can be managed with low cost.
Review of P2P Network Behavior Security Monitoring Research

P2P network behavior monitoring is a hot subject recently.Based on distribution monitoring system,this paper summarized and analysed the academia research about two sides of P2P network external behavior characteristics and internal behavior characteristics.The theory research mainly involves traffic analysis,topology mining,authentication and trust model,propagation model and so on.All the research above was analysed from phenomenon to solution,and pointed the disadvantage or improvement,mainly including domain discovering protocol and trust model principle.In addition,it also introduced that industry circles build the security platform for P2P network monitoring.
Determinants of Instructors' Intentions to Teach Online Courses: A Cross-Cultural Perspective

This study explored three major determinants of instructors' intentions to teach online courses in the United States and South Korea. In addition, it tested the moderating effect of country on instructors' responses and the effect of control variables such as discipline, rank, gender, and tenure status on participants' responses. The findings of this study revealed that subjective norm had a positive and significant impact on instructors' intentions in both countries. While communication efficiency had a positive and significant impact on American instructors, flexibility had a positive and significant impact on Korean instructors. The results also indicated that while the control variables had no impact on American instructors' responses, discipline and instructor rank had significant impacts on Korean instructors' responses.
An Improved Combined Bandwidth-Trust Secure Routing Framework

In recent past, trust aware protocols play an important role in security of wireless sensor networks(WSN),which is one of the common network technologies for smart city. However along with trust only distance metric was considered but some important metrics such as bandwidth were not included in conventional trust aware routing protocols. These excluded metrics are important for higher throughput and efficiency. In our thesis we will use these metrics in addition to distance and trust for our route selection. Besides this some nodes are attacker nodes, while finding the route from source to destination we will bypass that node.
NLP oriented studies on Chinese functional words and the construction of their generalized knowledge base

Studies on Chinese functional words have a long and productive history.Up to date,most such studies are oriented towards human use.Being characteristically subjective and vague,they are difficult to be applied directly to natural language processing(NLP). From the perspective of computational linguistics,this paper discusses the construction of generalized knowledge base for Chinese functional words based on previous research results and the observation of the real uses of functional words in a segmentation and POS labeled corpus of People's Daily,aiming to provide data foundation for automatic identification of the usage of Chinese functional words.
VERBETERDE IMPACTWEERSTAND VAN VEZELVERSTERKTE COMPOSIETEN D.M.V. ELEKTROGESPONNEN NANOVEZELS

Vezelversterkte composieten combineren een laag gewicht met zeer goede mechanische eigenschappen en kennen zo vele toepassingen in sectoren waarbij gewichtsbesparing cruciaal is, zoals de luchtvaart-, de ruimtevaart-, de windturbine- of de automobielsector. Typisch komen deze composieten als een gelaagd materiaal: de vezelversterking wordt ingebracht door het stapelen van verschillende lagen, waarna ze geinfuseerd worden met een kunststofmatrix. Ondanks de vele voordelen hebben deze composietlaminaten een groot nadeel omdat de verschillende lagen kunnen loskomen van elkaar, i.e. delaminaties. Dit maakt composieten vooral kwetsbaar voor impact, bv. door steenslag, hagelimpact of contact met werktuigen tijdens onderhoud. In deze studie wordt onderzocht of de impactweerstand van composieten kan verbeterd worden door het inbrengen van taaie nanovezels tussen de vezelversterkingslagen. Er worden 3 verschillende koolstofcomposieten gemaakt; een orthotroop laminaat, een quasi-isotroop laminaat en een laminaat gemaakt uit geweven koolstofvezels. Van elke soort worden steeds samples met en zonder nanovezels bereid. Vervolgens worden de mechanische eigenschappen van een dergelijk composiet met of zonder tussenliggende laag nanovezels bepaald en vergeleken. Hiervoor wordt het composiet onderworpen aan een impacttest, C-scan en een buig- en afschuiftest. Uit deze mechanische beproevingen blijkt dat de mechanische eigenschappen van het composiet niet afnemen bij inbreng van nanovezels in tegenstelling tot andere technieken. Het orthotrope laminaat blijkt het beste resultaat te geven op het gebied van de verbetering van de impactweerstand.
Effective SoC Test Scheduling under Peak Power Constraints Based on the Ant Colony Algorithm

The SoC IC generates much more power dissipation during testing which may cause reliability problem to the device.Hence,it is desirable to schedule the tests under the allowable peak power constraint.This work presents,based on the Ant Colony Optimization(ACO) algorithm,a test scheduling to reduce the test application time under the peak power constraint as well as the constraint of maximum TAM bus width.Experimental results show that the algorithm is more effective in reducing test time than the earlier published methods.
A Response to Patricia Krueger's “Activating Memories of Endurance” and Darla Linville's “Sorting Out the Sort”

shirley Brice heath, a former high school teacher and respected scholar, describes her long-distance collaborative research with high school students in a special education and english as a second language (esl) class while she was a professor at stanford and student researchers were attending schools on the east coast (heath, 1984). What has remained memorable about heath’s paper, and a source of inspiration, was a simple but illuminating thought: Put ethnography into the hands of those who may use it to improve their knowledge of what is happening around them in their learning and in their skills of oral and written language. now, over two decades later, heath’s innovative research methodology has evolved and transformed the way some of us engage research as a pedagogical act, not merely to promote literacies needed to pursue post-secondary education, but to influence educational policy and affect positive social change. unlike ethnography, participatory action research is premised on the principle that knowledge is constructed through democratic processes and relationships focused on the needs of local communities. engaging the process, youth researchers participate in knowledge construction while also acquiring tools and strategies to study other self/ community-defined concerns—tools and strategies that are primarily literacy-based. however, what is especially remarkable about Patricia Krueger and Darla linville’s chapters is the impressive methodological sophistication and meticulous documentation of these two practitioner-scholars, and their research teams, allowing us an upclose look at a complex process about which we know relatively little from those who previously engaged the process with youth researchers. Darla and Patricia’s studies are similar to projects such as the Bronx Middle school collaborative in which young adolescent students studied social issues affecting their community (Mercado, 1993), the toxic avengers of el Puente, who studied environmental pollutants and their affects on the health of latino@ children living in Williamsburg (torres-guzman, Mercado, M.e., Quintero, & rivera Viera, 1994); and the Junior researchers who informed policy makers of on the achievement-gap, redefining it as an opportunity-gap (Fine, et al., 2004). however, what is clear is that Patricia and Darla have also taken a giant leap forward illuminating the power and potential of Par as research and pedagogical act, for a new (and old) generation of scholars.
Improving Linearity of CMOS Variable-gain Amplifier Using Third-order Intermodulation Cancellation Mechanism and Intermodulation Distortion Sinking Techniques

This paper presents an improved linearity variable-gain amplifier (VGA) in 0.18-µm CMOS technology. The lineari­ty improvement is resulted from employing a new combinational technique, which utilizes third-order-intermodulation (IM3) cancellation mechanism using second-order-intermodul­ation (­IM2) injection, and intermodulation distortion (IMD) sinking techniques. The proposed VGA gain cell consists of a variable-gain attenuator followed by a differential cascode amplifier as a fixed-gain stage. The continuous gain control mechanism in the first stage occurs by varying the gate voltage of an nMOS transistor. Our proposed linearization technique is applied to the fixed gain cascode amplifier of the second stage. To examine the linearity of the proposed circuit, a nonlinear analysis of the cascode amplifier based on Taylor series has been performed. The simulation results show that after linearization, the third-order input intercept point (IIP3) of the whole VGA has been improved about +18 dB at the gain of 15.4 dB. The VGA has a voltage gain varying from -7.5 to 19.5 dB and a bandwidth of 830 MHz to 845 MHz. Morever, the circuit dissipates 4.65 mW to 9.35 mW from a 1.8 V single supply over the entire gain range.
Measuring Human Motion in Social Interactions

This thesis develops methods for social signal reconstruction—in particular, we measure human motion during social interactions. Compared to other work in this space, we aim to measure the entire body, from the overall body pose to subtle hand gestures and facial expressions. The key to achieving this without placing markers, instrumentation, or other restrictions on participants is the Panoptic Studio, a massively multi-view capture system which allows us to obtain 3D reconstructions of room-sized scenes. To measure the position of joints and other landmarks on the human body, we combine the output of 2D keypoint detectors across multiple views and triangulate them in 3D. We develop a semi-supervised training procedure, multi-view bootstrapping, which uses 3D triangulation to generate training data for keypoint detectors. We use this technique to train fine-grained 2D keypoint detectors for landmarks on the hands and face, allowing us to measure these two important sources of social signals. To model human motion data, we present the Kronecker Markov Random Field (KMRF) model for keypoint representations of the face and body. We show that most of the covariance in natural body motions corresponds to a specific set of spatiotemporal dependencies which result in a Kronecker or matrix normal distribution over spatiotemporal data, and we derive associated inference procedures that do not require training sequences. This statistical model can be used to infer complete sequences from partial observations and unifies linear shape and trajectory models of prior art into a probabilistic shape-trajectory distribution that has the individual models as its marginals. Finally, we demonstrate full-body motion reconstructions by using the KMRF model to combine the various measurements obtained from the Panoptic Studio. We capture a dataset of groups of people engaged in social games and fit mesh models of the body, face, and hands—a representation that encodes many of the social signals that characterize an interaction and can be used for analysis, modeling, and animation.
Knowledge Transactions in Mobile Environments

Knowledge transaction processing is a very new research area in mobile environments. The main goal of this chapter is to explore and study knowledge representation, reasoning, and transactions in mobile environments. As the outcome of the discussion, this chapter presents and formalizes a knowledge transaction language and model for use in mobile computing environments. In addition, this research further formalizes a framework for a mobile logic programming multi-agent system. The formalization of the knowledge transaction model and the multi-agent system framework herein presented is a first step towards a rigorous and consistent study of knowledge base and intelligent agent in mobile environments. DOI: 10.4018/978-1-61520-655-1.ch028
Self-Adaptive Pre-Load Method for Massive 3D Geological Data

Aiming at the difficult problems of massive geological data load,the theoretical basis is spatial clustering and spatial interpolation.The spatial objects in cache are regarded as sample data,the hit-ratio of these objects are thought as interpolation weight,and the object information in spatial index are look upon as estimated data,and the RAM and the computing capabilities of CPU are also took into account.The self-adaptive pre-load method on massive 3D spatial data in geological space are designed,and the experimental result shows that our proposed method is correct and efficiency.
Solving Dynamic 0-1 Knapsack Problems Based on Dynamic Programming Algorithm

Random time-varying knapsack problem(RTVKP) is a dynamic combinatorial optimization problem,is a typical NP-hard problem too.Because the value and size of items and the size of knapsack can change along with the time,it causes that solving this problem is more difficult.We proposed an efficient algorithm for solving RTVKP with dynamic size of knapsack based on dynamic programming method,and analyzed the complexity of new algorithm and the condition of its successful executing.The results of simulation computation show that the exact algorithm is an efficient algorithm for solving RTVKP.
English-Tibetan machine translation system model and population structure design

In the times of Internet, it is urgent to gap the language obstacles between nationalities with machine translation.This paper proposes a languge model and structure design based on the principles and corpus, and suggests the a design thoughts and principles.We also analyze the selection of translation methods, explain the system's general structure, translation algorithm, and language models.
A non-clausal theorem proving system

There are reasons to suspect that non-clausal first-order logic expressions will provide a better base for a theorem prover than conventional clausal form. A complete inference system, QUEST, for the first-order predicate calculus using expressions in prenex form is presented. Comparison of this system with SL-resolution shows that clausal techniques can be transferred to prenex form and expected advantages do seem to appear.
Paralelización de aplicaciones econométricas que requieren estimación de los modelos de elección discreta

En las últimas dos décadas, el uso eficiente del hardware para aplicaciones científicas fue creciendo en dificultad. Además, muchas de estas aplicaciones requieren mejorar el rendimiento del procesamiento y tratar datos masivos. Estos son sistemas complejos de implementar y en especial para aquellos que no son especialista en computación. Es necesario desarrollar e implementar abstracciones de programación de alto nivel que permitan modelos de programación simples de usar. Las aplicaciones econométricas que requieren modelos de elección discreta son aplicaciones de este tipo. En este proyecto, se aplicarán las metodologías para crear abstracciones de programación de alto nivel para extender el framework R, para estas aplicaciones. Los objetivos del proyecto son cubrir las necesidades de: 1) procesamiento y soporte de resolución de problemas computacionales en econometría de otros grupos de investigación; y 2) transferencia del conocimiento de las tecnologías existentes, del diseño y desarrollo de aplicaciones en el área del procesamiento paralelo para la formación de recursos humanos; y para la actualización de graduados en informática y de otras áreas en este tipo de procesamiento que requieren las nuevas aplicaciones de gran escala. Los primeros resultados de este proyecto que comenzó, en junio de 2015, son dos cursos sobre computación paralela. Palabras clave: econometría, computación paralela, clústeres de bajo costo.
Package graphic design and innovation: A comparative study of Bordeaux and Barossa wine visual codes

This research investigates the introduction of innovative designs through content and semiotic analyses of the visual codes of two wine regions: one known to be traditional (Bordeaux) and the other to be innovative (Barossa Valley). The content analysis indicates that the Australian wines differentiate themselves by choosing various themes and styles of illustration, while still conforming to the dominant visual codes for the layout, composition, typefaces and colours. Furthermore, the semiotic analysis shows that the themes and styles of illustration introduced in the Barossa category carry ‘signifieds’ that are relevant to the product category. Thus, the results indicate that the Barossa wineries fulfil two conditions suggested by the literature: moderate novelty and ‘ideal incongruence’ (unexpected but relevant). More importantly, by analysing the meanings of the visual codes used in the two wine regions, this work decodes the elements of graphic design language for the wine category, thus elucidating how it is possible to create a wine label that is unexpected but relevant. Finally, the research allows the identification of four main strategies for brand positioning and indicates how to express them through label graphic design.
Target Tracking in Wireless Sensor Networks

In this paper,the problem of decentralized data fusion is addressed for tracking a target with nonlinear motion model. The problem is solved by applying a decentralized estimation algorithm based on the extended information filter.We propose the neighbor selection and information selection algorithms for sensor selection based on their closeness to the estimated target position and their information contribution,respectively.Simulation results show that compared to the DEIF algorithm we obtain an analogous response with less consumption of energy and computations.
Survey on Network Flow Watermarking Technologies

As active traffic analysis approaches,network flow watermarking technologies can effectively traceback anonymous abusers and network attackers behind a connection chain of stepping stones.As they can achieve high detection rates and low false positive rates within short observation time,flow watermarking technologies have significant applications in many fields,such as attack traceback,network supervision and attack forensic.This paper firstly represented basic framework and major characteristics of flow watermarking technologies,then briefly introduced typical packet payload based,traffic rate based and packet timing based flow watermarking schemes at present,after that,main attack technologies,such as timing analysis attack,multi-flow attack and mean-square autocorrelation attack,and countermeasures of flow watermarking schemes were described,finally,near future research directions were discussed.