Miracle-dz/UniFAR-FTUs huggingface dataset:
SUPPORTING LEARNING OBJECT REPOSITORY BY AUTOMATIC EXTRACTION OF METADATA

The Learning Objects Repositories are electronic databases able to deliver material on the web allowing instructors sharing and reusing educational units and students accessing and enjoying them. The best way to guarantee these interactions is a good indexing. Each content needs a machine-understandable description able to declare requirements and limits for its right use and to improve any research and delivery action. These descriptions are stored in the metadata. Filling in the metadata is a boring and time-consuming activity but it is very important since it could influence the choice of the best material to deliver. This paper describes a possible methodological approach to automate this activity by extracting metadata directly from the files setting up the learning object itself. In the literature, there are many methods able to automatically characterize the technological aspects of the content, but very few of them are able to provide information about its pedagogical features. The proposed approach tries to draw together information theory, learning models, statistical analysis and ad hoc heuristics to extract a wide set of fields of the metadata. The results of a first experimentation are particularly encouraging to think about this approach as a solution to support learning object repositories and other platforms having needs to manage wide content storage and huge amount of users with various personal features, devices for interaction and goals as in the MOOCs.
Automatic video classification using decision tree method

Automatic digital video classification is emerging as an important problem in the fields of video analysis and multimedia database. In this paper the decision tree method is used for automatic video classification. Video clips are first segmented into shots, then features of the video clips are generated, and a video features database is created at the same time. After that, the decision tree method is used to classify the videos as different genres and a set of decision rules are produced. The discovered decision rules are used to predicate the genre of a new video. The experimental results show that the decision tree method is promising for video genre recognition.
Contributions to learning Bayesian network models from weakly supervised data: Application to Assisted Reproductive Technologies and Software Defect Classification

ed from the generative probability distribution, with a non-statistical perspective, the existence of an unknown target function Ψ : X → C that (i) individually categorizes each instance with a single label is usually assumed in standard supervised classification [125]. Learning techniques infer (ii) from a set of fully labeled examples D = {(x1, c1), . , (xN , cN )} of the problem a mapping function or classifier Ψ̂ that approximates the real function Ψ . The objective is to build a classifier Ψ̂ that accurately predicts the class label c of (iii) new unlabeled examples (x, ? ). A quick look at recent literature is enough to realize that the increasing number and variety of non-standard supervised classification problems cannot be described by means of this standard definition. In the previous paragraph, three well-established components of the definition have been emphasized. At least one of the indicated components is not fulfilled by the non-standard classification frameworks collected for this work. First of all, not all the problems involve samples which can be described by means of an instance-label pair: e.g., the multi-label framework [178], where the examples are categorized with one or more class labels. Secondly, some frameworks cannot provide a fully labeled dataset for training: e.g., the semi-supervised framework [23], where not all the training examples are labeled. Thirdly, certain class information can be known for the examples at prediction time: e.g., someone could be interested in categorizing a group of examples and it is known that they belong to different categories [101]. Each of these ideas, the three axes on which 2.2 Weakly supervised classification 13
EXAMPLES AND CHARACTERISTICS OF SHARED PROJECT MODELS

Integration of data and knowledge among project participants and their computer applications promises to improve the quality and efficiency of the project-delivery process in the architecture, engineering, and construction (AlFJC) industry. Integration, we argue, can be achieved through shared project models. In the present paper, we give two examples of such models by summarizing two research projects that developed and used shared project models. In the first example, a project model supports constructability evaluation of a building structure. The second example shows how a shared project model supports construction-management tasks. From these examples, we derive and discuss essential, general characteristics of shared project models. These characteristics include a model's layers of abstraction, content, extensibility, and support of integration mecha­ nisms. These mechanisms range from file sharing, to shared databases, and application-programming interfaces. They support information sharing via custom translation, translation to a shared model, or adoption of a common model at the application, system, or industry level. This paper ends with brief discussions of standardization efforts and implementation technologies.
Information Technology and Human Factors Affecting Active Medication List Accuracy

In this paper, the sociotechnical theoretical lens was taken to identify the human and the technology factors that affect the accuracy of the Active Medication List (AML). A multi-method multi-study approach was used. In Study 1, a case study was conducted and research hypotheses were developed based on the results. In Study 2, nurses, physicians, and pharmacists in three hospitals were surveyed to empirically test the research model developed in Study 1. In Study 3, a qualitative analysis on the comments from the survey was performed. The research results suggest the two human factors, list taker and list source, have significant effects on the accuracy of the AML. Of the two information technology factors, user interface design is significant but system connectivity is not. In scenarios like AML accuracy, human factors play a more important role than technology factors.
Modelagem do sistema fruto-pedúnculo no processo de derriça de café

21 CAPÍTULO 1 – INTRODUÇÃO GERAL . 23 1.1. Introdução . 23 1.2. Objetivos . 25 1.3. Justificativa . 26 1.4. Disposição do trabalho . 27 1.5. Referências Bibliográficas . 28 CAPÍTULO 2 – REVISÃO DE LITERATURA . 30 2.1. Derriça dos frutos do café . 30 2.2. Propriedades mecânicas da planta de café importantes ao processo de derriça por vibração . 36 2.2.1. Força axial de desprendimento dos frutos de café . 36 2.2.2. Parâmetros modais da planta de café e transmissibilidade de vibração . 38 2.2.3. Medição de vibração em sistemas mecânicos e biológicos . 41 2.3. Utilização de vídeos de alta velocidade para a determinação de propriedades mecânicas e transmissibilidade de vibração de sistemas mecânicos e biológicos . 43 2.4. Modelagem matemática para estudo da dinâmica do sistema fruto-pedúnculo do café . 45 2.5. Referências Bibliográficas . 48
Automatic Acquisition of Large-Scale Academic Bilingual Parallel Corpus from the Web

In this paper, we describe a system which automatically acquires large-scale Chinese-English bilingual parallel corpus from China Journals Full-text Database (CJFD), a component of China National Knowledge Infrastructure (CNKI). The system gets large amount of parallel texts with domain information from the existing structured bilingual texts in CJFD, such as Chinese and English abstracts and titles of academic articles. The acquired Chinese-English parallel corpus is by several orders of magnitudes larger than similar corpus we have known before. In addition, this system collects a large amount of bilingual terms which can directly apply to lexical acquisition.
A study of errors caused by impulsive noise and a simple estimation method for digital mobile communications

This paper describes a concept and a simple estimation method for the effect of impulsive noise on the error rate of digital mobile radio. Each experiment is required to estimate the impulsive noise influence for every system since the measurements of impulsive noise have been carried out by means of the CISPR quasi-peak value method. The author showed experimentally that the impulsive noise influence could be estimated by gathering up bit errors induced by individual noise impulses when those amplitudes were evaluated by the peak value method. A simple estimation method for impulsive noise influence is proposed for the different frequency bands and modulation schemes, using the above mentioned concept. It can be shown by this method that considerable errors will occur in some cases.
A novel bandwidth-efficient partial-response system

A generalized bandwidth-efficient partial response system with a finite impulse response filter structure is proposed. The coefficients of the filter are optimized to achieve the maximum possible inband power of the transmitted signal. Analytical results are presented for filters with up to six taps. A substantial reduction of the out-of-band power can be achieved at the cost of a somewhat increased signal power and receiver complexity. <<ETX>>
Assessing Children's Logo Debugging Skills with a Formal Model

In this article, we propose a new way to assess children's acquisition of debugging skills in a LOGO environment. The assessment procedure is based on an explicit and precise model (in the form of a computer simulation) of good debugging skills. The model has four stages: 1) evaluating the program's planned and actual outcomes to determine that debugging is necessary, 2) identifying the bug by using descriptions of the discrepancy between the planned and actual outcomes to propose potential bugs, 3) locating the bug by using clues about the structure of the program to narrow the search, and 4) correcting the bug and retesting the program. We describe model-based measurements of the LOGO debugging skills actually acquired by students in a “typical” LOGO graphics course. Nine seven- to nine-year-olds were given twenty-four hours of LOGO training over a three-week period. Students learned the editing and command generation skills prerequisite to debugging but were not able to interpret commands and use clues to identify, locate, and correct bugs. We conclude by discussing objectives for teaching the model's debugging skills directly.
Storage and Retrieval of Data from Drug Information Requests Using a Mumps-Based Information System

The storage, retrieval, and dissemination of information constitutes a major function of any drug information service (DIS). We developed a computerized system for the storage and retrieval of data from drug information requests (DIR) using a MUMPS-based information system. In the past, DIR forms were stored in looseleaf binders and filed chronologically. Due to the success and increased use of our DIS, this manual filing system became inadequate and awkward to use. Our solution was to develop a computer system where data could be entered from DIR forms and retrieved rapidly and easily. Each DIR was reviewed and key data elements were selected for input. The DIS files may now be searched online rapidly and efficiently. The MUMPS-based information system has provided open access for all staff pharmacists, 24 hours a day. The benefits have been an increase in both the quantity and quality of drug information provided.
Stochastic processes on complex networks: techniques and explorations

Networks are everywhere. From social networks to ecological networks, transportation networks to the World Wide Web, the existence of groups of units that are interconnected in some manner is ubiquitous in our modern-day world. In many cases, the units that comprise a network can be in one of a finite number of states. The state of a unit can dynamically change over time, and the network connections forming links between the units can facilitate this change in behaviour. Members of a social network, for example, can have a preference for one of a certain number of objects such as a sports team, musical genre or political ideology, and this preference may change as a result of influence from other individuals to which they are linked. The state of the individual units and the state of the group as a whole are intrinsically coupled, and the structure of the network and its complex connectivity patterns can a↵ect group-wide behaviour such as conformity, factions, sustainability and extinction. In this thesis, we delve into the area of dynamical processes on networks where the units of the network can be in one of a multitude of states. The basis of our studies is the probabilistic framework of stochastic processes, reflecting the random nature ever present in natural and man-made phenomena. We develop novel theoretical methods for both Markovian and non-Markovian processes, expressed in terms of arbitrary rate functions that allow for wide applicability. We examine specific cases of stochastic processes from a diverse range of fields including epidemiology, sociology and the physical sciences, providing important contributions to matters of current scrutinous attention. Our work both expands and gives greater understanding to the study of stochastic processes on networks, and provides a unifying framework for the overarching field of complex systems science. 3
Effects of computer animated instruction upon cognition of undergraduates in an agricultural power technology course

The utilization of visual elaboration has been a key component of the educational process for instructors of agricultural power technology. Traditionally, still illustration and representatives of real equipment (realia) have been utilized to teach the hidden theoretical concepts that comprise the most basic operational processes of the internal combustion engine and its accompanying systems. Exponential technology advancement has allowed the development of a new mode of visual elaboration in the form of high-quality computergenerated animation. This study, which is one part of a larger study, investigated the affects of computer-generated animations on low-level cognition in undergraduates. The dual-coding theory was utilized as the investigation’s theoretical framework. Computer-generated animations are most effective when used with topics that are abstract, vague, hidden or too fast or slow to view. When applied to operational theory of common internal combustion engines, animation is a natural fit. The study utilized an experimental pretest posttest control group design. Participants were undergraduate students (n=47) enrolled in “Agricultural Power Units”, an undergraduate agricultural power technology course at a university in Texas. Following pretest and immediate posttest, a delayed posttest was administered in order that learning decay could be measured. For this investigation, the dependent measure, (multiple choice test) consisted of low-level cognitive questions only. Two hypotheses were developed. Results indicate that no significant differences existed between the traditional and animated groups. The authors call for replication and further study of the utilization of animation in agricultural mechanization topics.
Multitone spread spectrum multiple access communications system in a multipath Rician fading channel

The paper proposes a new multiple access communications system based on the combination of multitone transmission and direct sequence spread spectrum (DS/SS). The performance of this system is investigated for a multipath, slowly Rician fading and frequency selective channel, and a suboptimal receiver based on matched filters. The multiple access interference is also taken into account. The system performance is investigated for selection diversity and maximal ratio combining (Rake reception). <<ETX>>
Cooperative Instructional Strategies and Performance Levels of Students in Reading Comprehension

Abstract Using the Think-Pair-Share Method (TPSM) and Reciprocal Teaching Method (RTM) as cooperative methods, the study was used to investigate the comparative effects of these two methods on students’ performance levels. The quasiexperimental design of non-equivalent and non-randomized pre-test, post-test control group was employed in the study. Ninetysix (96) students were sampled for the experimental groups and forty-eight (48) students were sampled for the control group. Two main researcher-designed instruments were used for the study. Reliability index was determined through a test-retest procedure of two weeks interval. Reliability coefficient of 0.88 and 0.90 were obtained using Pearson Product Moment Correlation Coefficient and Guttmann’s Split-half statistics respectively. Data was analyzed using Analysis of Covariance (ANCOVA) for the two null hypotheses generated at 0.05 level of significance level. The findings indicated that the Reciprocal Teaching Method (RTM) of cooperative instruction was the most effective method of teaching reading. This was closely followed by the Think-Pair-Share Method (TPSM) (Fcal = 3.29 significant at 0.05) while the Conventional Instruction Method (CIM) was the least. There was a significant effect of the TPSM and the RTM methods on reading comprehension of students of high, average and low performance levels. It was concluded that these methods were superior to the conventional method and therefore should be used in schools.
A Two-Level Method for the Discretization of Nonlinear Boundary Value Problems

We consider a two-level method for the discretization and solution of nonlinear boundary value problems. The method basically involves (i) solving the nonlinear problem on a {\it very} coarse mesh, (ii) linearizing about the coarse mesh solution, and solving the linearized problem on the fine mesh, one time! We analyze the accuracy of this procedure for strongly monotone nonlinear operators (\S2) and general semilinear elliptic boundary value problems (without monotonicity assumptions). In particular, the scaling between the fine and coarse mesh widths required to ensure optimal accuracy of the fine mesh solution is derived as a byproduct of the error estimates herein.
Classification for a class of second-order singular equations on time scales

An ad hoc network is a kind of wireless network without centralized administration or fixed network infrastructure, in which nodes perform routing discovery and routing maintenance in a self-organized way. However, this flexible network topology introduces a lot of security problems and the existing routing protocols for ad hoc networks such as AODV has no effective measures to prevent themselves from being attacked. Some researchers have proposed several secure routing protocols to protect the ad hoc networks. But most of these secure routing protocols need some centralized units or some trusted third parties to issue digital certificates or monitor network traffics, which actually destroy the self-organization nature of ad hoc networks. In this paper, we propose a secure routing protocol based on our trust mechanism. Each node in this ad hoc network has its opinions about some other nodes' trustworthiness, which are obtained by directly communicating with other nodes or by combining other nodes' recommendations. Then the node will decide whether to exchange routing information with another according to its opinion about that nodes' trustworthiness.
A speed control method for a PM motor using a speed observer and a low‐resolution encoder

This paper proposes a new speed control method for a PM motor using a low‐resolution encoder and a speed observer. The servo system should be economical and simple. For this purpose, this paper realizes the high‐performance speed control system using a low‐resolution encoder, whose performance is nearly equal to the performance of speed servo system using a conventional optical encoder. The speed observer uses the information of motor current and motor voltage. The rotor position is calculated by the estimated value of speed observer. This observer has the influence of electrical parameter variation. This paper proposes the correction algorithm of both the voltage error of PWM inverter and the electrical parameter variation. The experimental results and numerical simulation results point out that the proposed speed control system has the desired speed response with respect to parameter variations and load torque perturbation. © 2003 Wiley Periodicals, Inc. Electr Eng Jpn, 143(1): 66–75, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.10121
Computer-mediated input, output and feedback in the development of L2 word recognition from speech

Abstract This paper reports on the impact of computer-mediated input, output and feedback on the development of second language (L2) word recognition from speech (WRS). A quasi-experimental pre-test/treatment/post-test research design was used involving three intact tertiary level English as a Second Language (ESL) classes. Classes were either assigned to a control group (n=31) or to one of two alternative treatment levels which used a web-based computer application enabling self-determined opportunities to repeatedly listen to and reconstruct spoken target text into its written form. Treatment group one (n=30) received text feedback after each of their efforts at target text reconstruction, whereas treatment group two (n=35) did not. Results indicated that word recognition gain scores of those who used the application, regardless of treatment level, were significantly higher than those of the control group. The relationship between the quantity of self-determined exposure to input and word recognition improvements was moderate but not linear, with those choosing moderate levels of speech input deriving the greatest measurable improvement. Neither increased levels of modified output nor the provision of text feedback were associated with significant improvements in word recognition gain scores. Implications for computer-mediated approaches for the development of L2 WRS are described and areas for future empirical research are suggested.