Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the Implementation of e-Learning in Stain Sultan Qaimuddin Kendari Southeast Sulawesi

This study aimed to describe the factors that influence the implementation of e-learning at STAIN Kendari. The method in this research is a descriptive qualitative the data analysis consists of data reduction, data presentation, conclusions and verification while the validity of data by triangulation of data. Development of e-learning can be accessed at http://www.elearning-ambarsrilestari.web. id/. Based on the analysis of field data, it was found that the the factors that influence the implementation of e-learning at STAIN include: 1) the use of e-learning is not yet a culture of learning 2) limited human resources in the field of information technology both faculty and staff 3) wifi network cannot be accessed directly in the classroom, and 4) low students' understanding of information technology in learning. 
6\VWHP(YROXWLRQDWWKH$WWULEXWH/HYHO$Q(PSLULFDO6WXG\RI 7KUHH-DYD OSS and their Refactorings

In this paper, we focus on the net changes in attributes across versions of OSS and use net class change data (class additions and deletions) as well as refactoring data from a previous study to inform our understanding of how those three systems evolved as they did. While the majority of new attributes were added at levels 1 and 2 of the inheritance, these patterns were not consistent. The research question addresses the evolutionary relationship between classes and attributes as well as the connection between those changes and refactorings. Although some evidence of attributes following patterns conformant with class additions was found, we also identified occurrences of attributes being added unilaterally. A strong correspondence was also found between attribute addition and the refactoring data. Finally, we explore features of a fourth system with seven inheritance levels for similar characteristics.
Multiplier design utilizing improved column compression tree and optimized final adder in CMOS technology

The authors discuss improvements in bit reduction techniques and a final adder which is optimized for the uneven signal arrival profile in a CMOS multiplier. Different architectures of the column compression counters and carry propagate adders which take advantage of the speed of the carry signal are considered. The configuration of column compression counters is optimized in order to reduce the longest signal path. The final adder is designed for the uneven input arrival time of the signals originating from the multiplier tree. This results in more compact wiring and balanced delays yielding a faster multiplier. <<ETX>>
A rail-to-rail, constant-Gm, 1-volt CMOS opamp

A rad-to-rail, constant-g, 1 -volt only, full-CMOS opamp is presented. The opamp has a complementary PMOS/ bulk-driven input stage with a feedback circuit to equalize g,, and a class AB output stage, which provide input and output rail-to-rail operation. HSPICE simulations are performed using BSIM 3.3 models of a 0.8pn CMOS process. This opamp has a DC gain of 45.1 dB, unity-gain bandwidth of 1.7 MHz, and phase margin of 63.4".
Dynamic Bayesian Networks and Discriminative Classifiers for Multi-Stage Semantic Interpretation

In this paper, a multi-stage spoken language understanding system is presented. This stochastic module is for the first time based on a combination of dynamic Bayesian networks and conditional random field classifiers. The former generative models allow to derive basic concept sequences from the word sequences which are in turn augmented with modalities and hierarchical information by the latter discriminative models. To provide efficiently smoothed conditional probability estimates, factored language models with a generalized parallel backoff procedure are used as the network edge implementation. This framework allows a great flexibility in terms of probability representation facilitating the development of the stochastic levels (semantic and lexical) of the system. Experiments are carried out on the French MEDIA task (tourist information and hotel booking). The MEDIA 10k-utterance training corpus is conceptually rich (more than 80 basic concepts) and is provided with a manually segmented annotation. On this complex task, the proposed multi-stage system is shown to offer better performance than the MEDIA'05 evaluation campaign best system (H. Bonneau-Maynard et al., 2006).
DECENTRALIZED ACCESS CONTROL OF DATA STORED IN CLOUD USING KEY POLICY ATTRIBUTE BASED ENCRYPTION

Cloud computing is a rising computing standard in which assets of the computing framework are given as a service over the Internet. As guaranteeing as it may be, this standard additionally delivers a lot of people new challenges for data security and access control when clients outsource sensitive data for offering on cloud servers, which are not inside the same trusted dominion as data possessors. In any case, in completing thus, these results unavoidably present a substantial processing overhead on the data possessor for key distribution and data administration when fine- grained data access control is in demand, and subsequently don't scale well. The issue of at the same time accomplishing fine-grainedness, scalability, and data confidentiality of access control really still remains uncertain. This paper addresses this open issue by, on one hand, characterizing and implementing access policies based on data qualities, and, then again, permitting the data owner to representative the majority of the calculation undertakings included in fine-grained data access control to un-trusted cloud servers without unveiling the underlying data substance. We accomplish this goal by exploiting and combining techniques of decentralized key policy Attribute Based Encryption (KP-ABE) . Extensive investigation shows that the proposed approach is highly efficient and secure.
Moving a Traditional Classroom into the 21st Century using Online Instruction

While even technologically savvy instructors may struggle in moving courses online, there are simple solutions to address most of the most common concerns instructors have about teaching at a distance. These solutions address everything from how to get students to show up to how to keep them engaged. The goal is to turn a potentially chaotic online classroom experience into something that is structured, defined, and successful. This paper discusses techniques that have proven effective in moving courses from traditional face-to-face instruction to a completely online format. Emphasis focuses on developing exemplary online instruction modules.
Computer-assisted design of image classification algorithms: dynamic and static fitness evaluations in a scaffolded genetic programming environment

This paper discusses several issues in applying genetic programming to image classification problems in geoscience and remote sensing. In particular, this paper examines the role in using dynamic and static fitness evaluation functions. This paper also examines a few of the aspects in human-computer interactions that facilitate computer-assisted learning and problem solving (i.e., scaffolding) for our system. We describe a possible means for visualizing and summarizing a solution space without having to resort to an exhaustive search of individuals.
AN ANALYTICAL MODEL OF IEEE 802.11 DCF FOR MULTI-HOP WIRELESS NETWORKS AND ITS APPLICATION TO GOODPUT AND ENERGY

AN ANALYTICAL MODEL OF IEEE 802.11 DCF FOR MULTI-HOP WIRELESS NETWORKS AND ITS APPLICATION TO GOODPUT AND ENERGY ANALYSIS Canan Aydoğdu Ph.D. in Electrical and Electronics Engineering Supervisor: Assoc. Prof. Dr. Ezhan Karaşan November 2010 In this thesis, we present an analytical model for the IEEE 802.11 DCF in multihop networks that considers hidden terminals and works for a large range of traffic loads. A goodput model which considers rate reduction due to collisions, retransmissions and hidden terminals, and an energy model, which considers energy consumption due to collisions, retransmissions, exponential backoff and freezing mechanisms, and overhearing of nodes, are proposed and used to analyze the goodput and energy performance of various routing strategies in IEEE 802.11 DCF based multi-hop wireless networks. Moreover, an adaptive routing algorithm which determines the optimum routing strategy adaptively according to the network and traffic conditions is suggested. Viewed from goodput aspect the results are as follows: Under light traffic, arrival rate of packets is dominant, making any routing strategy equivalently optimum. Under moderate traffic, concurrent transmissions dominate and multihop transmissions become more advantageous. At heavy traffic, multi-hopping
An empirical analysis of large corpora

This article compares one-dimensional and multi-dimensional dialogue act tagsets used for automatic labeling of utterances. The influence of tagset dimensionality on tagging accuracy is first discussed theoretically, then based on empirical data from human and automatic annotations of large scale resources, using four existing tagsets: DAMSL, SWBD-DAMSL, ICSI-MRDA and MALTUS. The Domi- nant Function Approximation proposes that automatic dialogue act taggers could focus initially on finding the main dialogue function of each utterance, which is empirically acceptable and has significant practical relevance.
Information Technology and the Classroom of the Future

Universities are usually successful in creating, gathering, and imparting knowledge. They are less successful in applying that knowledge to instructing. Academic researchers recognize the value-added of technology to communication, efficiency, and decision making, but the whiteboard and paper remain the primary teaching technologies in most classroom. There have been efforts in the academic community to move from a paper-based classroom to a paperless classroom. Unfortunately, these efforts have usually been isolated and generally have not tailored technology to support varied student learning styles. This paper presents a paperless classroom implementation that uses technology to support the model of learning appropriate to a particular learning situation. The focus is not on the technology but how the technology enhances learning. Please Cite: Adams, W. J. and Jansen, B.J. 1997. Information technology and the classroom of the future. Society for Information Technology in Education Conference. Orlando, Florida. See Other Publications
Maximum likelihood parameter estimation by simulated annealing

The author presents a method for finding the maximum-likelihood estimates of a set of signal parameters. The algorithm is based on simulated annealing, which is a form of stochastic optimization that has been found to be a powerful technique for solving multidimensional combinatorial optimization problems. He also presents a simulated annealing solution to a typical parameter estimation problem that arises in sensor array processing, and some experimental results are included which demonstrate the power of annealing compared to existing algorithms. It is pointed out that simulated annealing is quite a general optimization procedure and should find a wide range of applications. <<ETX>>
SISTEM PAKAR DIAGNOSIS PENYAKIT MATA MENGGUNAKAN NAÏVEBAYES CLASSIFIER

Penelitian ini membahas tentang aplikasi sistem pakar untuk mendiagnosis penyakit mata. Data yang digunakan untuk penelitian terdiri dari 52 gejala dan 15 penyakit mata. Sistem pakar yang dibangun menggunakan metodeNaiveBayes Classifier. Terdapat dua tahapan kerja dari aplikasi ini. Pertama, sistem meminta pasien untuk menginputkan gejala-gejala yang dialami.Kedua, sistem akan secara otomatis menampilkan hasil diagnosis dari penyakit mata yang diderita oleh pasien melalui perhitungan Naive Bayes Classifier. Hasil diagnosis sistem selanjutnya dibandingkan dengan hasil diagnosis dari pakar sebenarnya. Ujicoba sistem menggunakan data sebanyak 12 pasien penyakit mata. Dari hasil percobaan, prosentase kesesuaian diagnosis sebesar 83%.
Finding Association Rules through Efficient Knowledge Management Technique

One of the recent research topics in databases is Data Mining, to find, extract and mine the useful information from databases. In case of updating transactions in the database the already discovered knowledge may become invalid. So we need efficient knowledge management techniques for finding the updated knowledge from the database. There have been lot of research in data mining, but Knowledge Management in databases is not studied much. One of the data mining techniques is to find association rules from databases. But most of association rule algorithms find association rules from transactional databases. Our research is a further step of the Tree Based Association Rule Mining (TBAR) algorithm, used in relational databases for finding the association rules . In our approach of updating the already discovered knowledge; the proposed algorithm Association Rule Update (ARU), updates the already discovered association rules found through the TBAR algorithm. Our algorithm will be able to find incremental association rules from relational databases and efficiently manage the previously found knowledge.
The Application of SPSS in Analyzing the Effect of English Vocabulary Strategy Instruction.

The vocabulary learning is one of very important part in the college English teaching. Correct analysis of the result of vocabulary strategy instruction can offer feedbacks for English teaching, and help teachers to improve the teaching method. In this article, the issue how to use SPSS (Statistical Package for the Social Science) to scientifically statistically analyze the vocabulary test achievements is discussed, and the research result can offer instructive feedback opinions for the vocabulary teaching.
A Linux Filesystem Tracing Method Using the Kprobes Linux Dynamic Instrumentation System

A storage performance analysis tool is crucial to finding performance bottlenecks in I/O storage systems and developing efficient storage system architectures or algorithms. Due to the existence of many parallel Linux projects, there are also many trace tools proposed by different authors. This work presents an integrated performance analysis tool for Linux file systems. The tool provides actual time information for Linux file system functions. In contrast to other existing tools, the tool provides a filtering mechanism, a graphical interface, and system-level analysis information without a heavy load of measurement. It may be used by Linux developers or end-users for analyzing file system layers or measuring software performance to find bottlenecks in Linux file systems.
Visualização de dados: avanços por pesquisadores brasileiros Data visualization: advances by Brazilian researchers

J.R. Gianella, R. P. Medeiros. 2015. Visualização de dados: avanços por pesquisadores brasileiros. In: C. G. Spinillo; L. M. Fadel; V. T. Souto; T. B. P. Silva & R. J. Camara (Eds). Anais [Oral] do 7o Congresso Internacional de Design da Informação/Proceedings [Completos] of the 7th Information Design International Conference | CIDI 2015 [Blucher Design Proceedings, num.2, vol.2]. São Paulo: Blucher, 2015. ISSN 2318-6968, DOI 10.5151/designpro-CIDI2015-cidi_17 Visualização de dados: avanços por pesquisadores brasileiros Data visualization: advances by Brazilian researchers
Modeling Patterns: A Method to Evaluate Non-Functional Attributes of Software Architectures

The design of software architecture plays an important role in a software process. In the design phase, the non-functional feature evaluation of software architecture would contribute a lot in providing high quality software products. Modeling patterns, which is an extension of UML (unified modeling language), are brought forward for software non-functional feature evaluation in this paper. Furthermore, an example, in which modeling pattern "AvailabilityChain" is used to evaluate the availability of software architecture "1 Message Distributor—n Message Processors", is given to illustrate the application of modeling patterns. Moreover, to support the application of modeling patterns, "Modeling Pattern Knowledge-Base", in which modeling patterns and reference values of tags used by each modeling pattern are managed, is involved. UML-based Patterns and Modeling Pattern Knowledge base will simplify the evaluation of software architecture in the software process and contribute a lot in providing high quality software products.
Designing a government form

This paper describes a case history of the design of a government form. In particular, three kinds of problem are identified and discussed: contextual problems of relevance and interpretation; problems of reading sequence and conditional branching instructions; and a range of typographic problems. Typography is seen as a particularly important way of signalling the information structure of forms, and typographic techniques are discussed in some detail.
임베디드 리눅스를 이용한 OLSR(Optimized Link State Routing Protocol)구현에 관한 연구

본 논문에서 유비쿼터스 공간구축을 위한 이동 에드 혹(Mobile Ad-hoc) 라우팅 프로토콜 중에서 프로액티브(Proactive)방식인 OLSR 프토토콜(Optimized Link State Routing Protocol) 방식을 임베디드 리눅스기반에서 설계 및 구현방법에 관하여 연구 하였다.
ESCUELA SUPERIOR DE INGENIERÍA MECÁNICA Y ELÉCTRICA

This thesis presents the desing of a Low Noise Amplifier (LNA), for wireless comunication. Conteins a brief description of comunications systems, particulary the wireless ones, who works in the 2.4 GHz band of frequency. Seeing as 2.4 GHz is consederate high frequency, there is a specialy emphasis on the desing charactersitics for the devices (models and noise). The propose circuit it s found after a carefuly analysis of the desing methodology, who fulfil the request for the aplication (gain and noise figure). It is use a 0.5 μm fabrication technology to set the operation and desing parameters. The circuit it is simulated to evaluated its peerformance. The results (17 dB gain aproximately and 2.252 dB of noise figure), agree with the reference rates, so they are aceptable. The conclusion are the aplication that the circuit can have. JUSTIFICACION Y OBJETIVO Ing. Veronica Alejandra Ortega Garcia 3 Justificacion Los sistemas de comunicacion inalambricos son una de las tendencias tecnologicas de mayor estudio en la actualidad. Uno entre mucho de los factores que ha favorecido el avance en las comunicacion inalambricas son el desarrollo de nuevas tecnicas de integracion y de dispositivos de estado solido. Esto ha hecho posible que dispositivos con un bajo nivel de consumo de energia, y tan pequenos y ligeros como para que el usuario pueda llevarlos en el bolsillo, esten presentes cada vez mas en la vida cotidiana. Como ejemplos actuales se puede mencionar la tecnologia WiFi y Bluetooth.
A control laboratory prototype for learning power current amplifier PI control loop

In this paper we propose a power current amplifier implemented using a Peripheral Interface Controller (PIC) microcontroller and an H-Bridge. The prototype is fully integrated into Matlab/Simulink environment allowing changing PI current loop behavior in real-time. The experimental amplitude frequency response allows understanding how PI current loop tuning of the power amplifier impacts motor and model response.
Altmetrics and analytics for digital special collections and institutional repositories

Introduction This white paper describes uses for usage statistics, altmetrics, and other quantitative and qualitative impact metrics in the context of services for digital special collections (DSCs) and institutional repositories (IRs) stewarded by academic libraries. First, we articulate a problem statement, which describes the current state of metrics. We then outline recommendations for how libraries can leverage usage statistics and altmetrics to measure the value of their IR and digital special collections and prove their worth to stakeholders. Finally, we discuss further work related to retroactively implementing metrics into existing digital repositories.
An Automated Signature-Based Approach against Polymorphic Internet Worms

Capable of infecting hundreds of thousands of hosts, worms represent a major threat to the Internet. However, the defense against them is still an open problem. This paper attempts to answer an important question: How can we distinguish polymorphic worms from normal background traffic? We propose a new worm signature, called the position-aware distribution signature (PADS), which fills the gap between traditional signatures and anomaly-based intrusion detection systems. The new signature is a collection of position-aware byte frequency distributions. It is more flexible than the traditional signatures of fixed strings while it is more precise than the position-unaware statistical signatures. We propose two algorithms based on expectation-maximization (EM) and Gibbs sampling to efficiently compute PADS from a set of polymorphic worm samples. We also discuss how to separate a mixture of different polymorphic worms such that their respective PADS signatures can be calculated. We perform extensive experiments to demonstrate the effectiveness of PADS in separating new worm variants from normal background traffic.
Co-creative communication in musical performance

There is a communication between players in a musical cooperative performance, and players create relationship or new musical expressions with the communication. Such communication is called "co-creation" and has been analyzed. The object of this study is to analyze co-creative communication of musical performance and establish a design principle of co-creative communication system between human and artificial agents. The experiment results (a) where musical difficulty is high, musical rhythms did not relatively synchronize, however respiration rhythms relatively synchronized, (b) there was a musical interaction between players, and new music tempo pattern emerged, (c) where musical difficulty is high, musical rhythm coupled with respiration rhythm strongly. To interpret these results, we hypothesize that players pay more attention in the difficult music part, and propose the new musical communication model, and discuss the design principle of co-creative communication system.
Simulation of two routing protocols operating in a low Earth orbit satellite network environment

Modern warfare is placing an increasing reliance on global communications. Currently under development are several low Earth orbit (LEO) satellite systems that propose to deliver voice and data traffic to subscribers anywhere on the globe. However, very little is known about the performance of conventional routing protocols under orbital conditions where the topology changes in minutes rather than days. This paper compares two routing protocols in a LEO environment. One (extended Bellman-Ford) is a conventional terrestrial routing protocol, while the other (Darting) is a new protocol which has been proposed as suitable for use in LEO networks. These protocols are compared via computer simulation in two of the proposed LEO systems (Globalstar and Iridium), under various traffic intensities. Comparative measures of packet delay, convergence speed, and protocol overhead are made. It is found that while both protocols have roughly equivalent end-to-end delay characteristics, Darting requires a much higher overhead. Darting also demonstrates higher instability at network update periods. Darting is handicapped by a strong correlation between data traffic and protocol overhead. Modifications to reduce this overhead would result in better performance.