Miracle-dz/UniFAR-FTUs huggingface dataset:
Konstruksi Pengetahuan Trigonometri Kelas X Melalui Geogebra dan LKPD

Abstrak . Pengetahuan trigonometri di kelas X merupakan aspek yang mendasar bagi peserta didik untuk memahami trigonometri pada jenjang kelas berikutnya. Oleh karena itu, peserta didik harus mengonstruksi pengetahuan trigonometrinya secara mandiri sehingga memiliki kemampuan pemahaman trigonometri yang baik. Penelitian ini bertujuan untuk mengetahui bagaimana peserta didik mengonstruksi pengetahuan trigonometri dengan menggunakan bantuan GeoGebra dan lembar kerja peserta didik (LKPD). Metode yang digunakan dalam penelitian ini adalah deskriptif eksploratif. Penerapan dilakukan terhadap peserta didik pada salah satu SMA di Kabupaten Ciamis. Hasil yang diperoleh adalah peserta didik dapat mengonstruksi pengetahuan trigonometri dengan bantuan GeoGebra dan LKPD dengan baik. Konstruksi pengetahuan trigonometri terdiri dari konsep sudut, kuadran, perbandingan trigonometri, fungsi trigonometri dan sudut-sudut berelasi. Kebaruan penelitian ini adalah konstruksi pengetahuan trigonometri dilakukan oleh peserta didik secara mandiri dengan bantuan GeoGebra yang perintahnya dipandu dalam LKPD. Dampak penelitian ini adalah peserta didik mudah memahami konsep trigonometri dengan pendekatan visualisasi grafik fungsi trigonometri. Hal ini didukung dengan fakta terdapat peningkatan kemampuan pemahaman trigonometri peserta didik dengan kategori tinggi. Kata Kunci . Konstruksi pengetahuan trigonometri, GeoGebra dan LKPD Abstract. The knowledge of trigonometry in class X is a fundamental aspect for learners to understand trigonometry in the next grade. Therefore, the leaners must construct his trigonometric knowledge independently so as to have good trigonometric understanding skills. This study aims to determine how learners construct trigonometric knowledge by using GeoGebra help and student work sheet (LKPD). The method used in this research method was descriptive explorative. Implementation was done to students in one of high school in Kabupaten Ciamis. The results obtained were that learners can construct trigonometric knowledge with the help of GeoGebra and LKPD well. The construction of trigonometric knowledge consists of the concept of angle, quadrant, trigonometric ratio, trigonometric function and related angles. The novelty of this research is the construction of trigonometric knowledge done by learners independently with the help of GeoGebra whose command is guided in LKPD. The impact of this study is that learners can easily understand the concept of trigonometry with visualization approach graph trigonometric function. This is supported by the fact that there is an increase in the ability to test high trigonometric understanding of students with high category. Keywords . Construction of trigonometric knowledge, GeoGebra and LKPD
SCRUTINIZING PERMISSION BASED ATTACK ON ANDROID OS PLATFORM DEVICES

The smart phones usage has been increased rapidly over the last decade. Because of their mobility and connectivity, smart phones are growing thrice as compared to Personnel Computers. Android is a mobile device operating system platform for smart phones, which is growing very fast. There are many security concerns in the Android smart phones related to permissions in Apps. Android is having some negative gaps regarding security. One of the main security related gap is its Permission level through which Apps are gaining access to the devices hardware and software. The Apps access can sometimes make a security issue, which is not acceptable for the end-users and this security issue tends users’ information leakage. Most of the time users are granting permissions while installing Apps but do not know about the permission requested by the Apps, which is a gap itself and this may lead for misusing user’s personal information. In this paper, a number of vulnerabilities are explored in Android permission level and provide an approach for better security in Android Platform. An Attack Scenario is developed successfully for permission-based attacks in the android platform and provides the countermeasures for it.
A High-quality Digital Library Supporting Computing Education: The Ensemble Approach

Educational Digital Libraries (DLs) are complex information systems which are designed to support individuals’ information needs and information seeking behavior. To have a broad impact on the communities in education and to serve for a long period, DLs need to structure and organize the resources in a way that facilitates the dissemination and the reuse of resources. Such a digital library should meet defined quality dimensions in the 5S (Societies, Scenarios, Spaces, Structures, Streams) framework including completeness, consistency, efficiency, extensibility, and reliability to ensure that a good quality DL is built. In this research, we addressed both external and internal quality aspects of DLs. For internal qualities, we focused on completeness and consistency of the collection, catalog, and repository. We developed an application pipeline to acquire user-generated computing-related resources from YouTube and SlideShare for an educational DL. We applied machine learning techniques to transfer what we learned from the ACM Digital Library dataset. We built classifiers to catalog resources according to the ACM Computing Classification System from the two new domains that were evaluated using Amazon Mechanical Turk. For external qualities, we focused on efficiency, scalability, and reliability in DL services. We proposed cloud-based designs and applications to ensure and improve these qualities in DL services using cloud computing. The experimental results show that our proposed methods are promising for enhancing and enriching an educational digital library. This work received support from ACM, as well as the National Science Foundation under Grant Numbers DUE-0836940, DUE-0937863, and DUE-0840719, and IMLS LG-71-16-003716. A High-quality Digital Library Supporting Computing Education: The Ensemble Approach
Strategic Trajectory Planning of Highway Lane Change Maneuver with Longitudinal Speed Control

Even though extensive research has been conducted on vehicle high-way longitudinal control under simple driving scenario, real life implementation of such system requires considering of surrounding traffic situations and movements such as lane change, weaves, on-ramp and off-ramp merges. In this thesis, the concept of driver being responsible of lateral control with automated longitudinal control is deployed in order to realize the mobility and safety benefits and a fundamental framework has been built to investigate high-way longitudinal control with lane change trajectory generated by geometric high order polynomial. With the assumption of surrounding vehicles’ position and velocity is available, high-way two lane situation with driver being advised by the lane change module for the operation is studied. This system consists of several different modules: vehicle single lane following control module, maneuver generation module, lane change trajectory generation module and Model Predictive Control (MPC) control while lane changing. Three controllers: PID cruise controller, transitional trajectory and vehicle following controller are used to achieve the functionality of vehicle following with a Finite State Machine (FSM) designed for controller switch decision making based on surrounding traffic movements. The following controller is needed to follow the preceding slower vehicle when driver does not intend to make a lane change. The
Trabalhadores formais versus informais: diferenças de rendimento para a região metropolitana de Belo Horizonte

The article examines the difference in the Metropolitan Region of Belo Horizonte between formal and informal workers, defined, respectively, as taxpayers and non-taxpayers of Social Security. By the use of the Oaxaca-Blinder decomposition from Melly (2006) and PNAD 2012, it was found that although formal employees receive higher incomes than the informal across all income distribution, the difference not justified by production attributes of the two groups was significant only for the base and top of the income distribution. Thus, it signs of segmentation were noticed in the labor market studied, especially in the highlighted points of the income distribution. Keywords: labor market, income segmentation, formal and informal sectors.
CLASSIFYING ROCKS: A PRACTICAL EXERCISE TO LEARN PROGRAMMING THROUGH GEOLOGICAL CONCEPTS

The Undergraduate Degree in Geology of the University of the Basque Country contains an “Introduction to Computation” subject that is taught in the first semester of the first course. Students are generally very little interested in this matter, mainly because they think that programming skills are no related to any geological subject they are interested in. In this paper, we discuss the implementation of a new activity in the context of the subject “Introduction to Computation” and focused on increasing the motivation of the students on the programming subject. The activity consists on the development of an exercise which combines programming skills and real geological problems, and it is supervised by a multidisciplinary team of teachers from different knowledge areas: teachers from the subject “Introduction to Computation” (henceforth computing teacher ) and teachers from the subject “Complements of Geology” (henceforth geology teacher ). The proposed exercise consists of three phases. First, the geology teacher introduces a real geology-related problem and explains how could it be resolved. On a second phase, the computing teacher explains how to automatize part of the resolution process in terms of a programming language. On a third phase, and once the students have implemented the algorithmic solution to the problem, they solve real examples of the proposed geological problem using the previously created computing tool. On this last phase, both the geology and computing teachers help the students with any geological or programming related question. The selected geological problem was the Classification of Rocks. The students are presented a classification method based on binary questions (two possible answers, YES/NO) which can be implemented in terms of complex/nested If-Then-Else statements. The exercise introduces some new geological concepts and serves as a test-bed for the programming skills, and the students create a useful computer program that will be finally used to classify a collection of rocks. Some interviews carried out after this experience showed that the students were satisfied with the exercise and that they had gained interest in the programming skills.
Emergent segmentation of monocular visual invariants for space perception

A mechanism is proposed for the emergent segmentation of junctions with a priori unknown position, orientation, and order, i.e. number of inducing contrast edges, in static luminance fields. Emergent segmentation of visual scenes is a prerequisite for object recognition, obstacle avoidance, and other behavioral tasks of biological creatures with visual scenes. The authors describe results of an investigation into computational mechanisms allowing for real time response of a boundary oriented neural network architecture to straight and curved lines as well as to junction configurations of any orientation and any number of constituting contours. The proposed mechanisms are based on Grossberg's FACADE theory of preattentive segmentation and provide a functional extension of his boundary contour system. <<ETX>>
Predicting execution time of relay ladder logic for programmable logic controllers

This paper presents a technique of calculating the worst-case execution time of PLC application programs written in relay ladder logic. The concept of generic PLC and RLL block is introduced to develop a system-independent prediction algorithm. The technique divides an RLL program into several RLL blocks and then transforms them into Boolean logic equations. The internal states of an RLL program is analyzed and their dependencies are used as constraints when we solve the Boolean logic equations. Since the time for solving Boolean logic equations increases exponentially as the number of independent variable increases, the algorithm for partitioning variables in the Boolean logic equations is also developed.
Combining Biometrics Derived from Different Classes of Nonlinear Analyses of Fronto-Normal Gait Signals

(cid:33) With the advent of low cost high powered computing, cameras need not just be used to record multimedia data. Cameras become sensors as we process waveforms of gait signals from the video content of humans walking towards these cameras. This sensory data allows cameras to be incorporated into networks that monitor humans and their movements. This work introduces a novel analysis of gait for human recognition which uses and can be used for surveillance. Current approaches in human gait analyses employ linear signal decomposition techniques to obtain features such as frequency and phase. In contrast, we establish the nonlinear nature of fronto-normal (FN) gait. This motivates for the use of nonlinear analyses on FN gait as a biometric and opens up new avenues for research in gait recognition. Using these nonlinear analyses to derive features, we show that by themselves they may not provide sufficient discriminating ability. But by a novel combination of two different nonlinear measures, one exploiting chaosity and another representing regularity, this can be used to identify a person using gait. We apply this in a multi-biometric experiment to demonstrate its effectiveness.
TOPIC TRACKING FOR PUNJABI LANGUAGE

This paper introduces Topic Tracking for Punjabi language. Text mining is a field that automatically extracts previously unknown and useful information from unstructured textual data. It has strong connections with natural language processing. NLP has produced technologies that teach computers natural language so that they may analyze, understand and even generate text. Topic tracking is one of the technologies that has been developed and can be used in the text mining process. The main purpose of topic tracking is to identify and follow events presented in multiple news sources, including newswires, radio and TV broadcasts. It collects dispersed information together and makes it easy for user to get a general understanding. Not much work has been done in Topic tracking for Indian Languages in general and Punjabi in particular. First we survey various approaches available for Topic Tracking, then represent our approach for Punjabi. The experimental results are shown.
Illusions, perception and

This study is an excellent example of how Bayesian concepts are transforming perception research by providing a rigorous mathematical framework for representing the physical and statistical properties of the environment, describing the tasks that perceptual systems are trying to perform, and deriving appropriate computational theories of how to perform those tasks, given the properties of the environment and the costs and benefits associated with different perceptual decisions.
Estimate 5G mobile network based on 4G mobile network security

Wireless communication is an important ways for mobile services. The emergence of third generation mobile services and smart phones has changed the way people live their lives by using the services they need for life such as phone calls, messages, and Internet search as one device. The 4th generation mobile communication currently in use is providing users with various services using wide bandwidth and speed. But the 3th generation mobile network has a closed structure that makes it difficult to attack. However, the 4th generation mobile network operates by identifying IP addresses in an open environment. These changes can give attackers a lot of attack opportunities. In this paper, we focus on the changes of 4th generation mobile communication and its weaknesses, and examine the direction of 5th generation mobile communication.
A CMOS low-distortion fully differential power amplifier with double nested Miller compensation

A four-stage fully differential power amplifier using a double-nested Miller compensated structure is presented. The multiple-loop configuration used results in a lower harmonic distortion, at least in the audio band, compared to conventional three-stage amplifiers with nested Miller compensation. Design criteria and stability conditions for good stability of amplifiers using a multiple- (greater than two) loop topology are presented. The amplifier operates with a single power supply which has a minimum value of 3 V. With a 5-V supply, power dissipation is 10 mW and total harmonic distortion (THD) is -83 dB for a -V/sub p-p/ differential output signal at 10 kHz and a load of 50 Omega . With an 8 Omega load and for a 10-kHz, 4-V/sub p-p/ output signal, THD is -68 dB. The chip area is 0.625 mm/sup 2/ in a 1.5- mu m single-poly, double-metal, n-well CMOS technology. >
Advantages and pitfalls in computer assisted orthopedic surgery planning using rapid-prototyped guides

Durch die von Rapid Prototyping gebotenen Moglichkeiten konnen computergestutzte 3D Operationsplanungen prazise in der Operation umgesetzt werden. An der Universitatsklinik Balgrist wurden in den letzten 3 Jahren nahezu 100 Patienten erfolgreich behandelt, deren Operation in 3D geplant und mit patienten-spezifischen Schablonen umgesetzt wurde. Wir beschreiben die Genauigkeit dieser Methode und berichten uber die hierbei gesammelten Erfahrungen. Aufgrund der Flexibilitat der Rapid Prototyping Technologie, gibt es nicht immer nur einen Weg wie eine 3D geplante Operation umgesetzt werden kann. Wir zeigen daher anhand von Fallbeispielen unterschiedliche Strategien auf und beschreiben deren Vor- und Nachteile. Ausserdem prasentieren wir die Weiterentwicklung der Methode zur Anwendung an kleinerer Anatomie wie Knochen des Handgelenkes oder der Finger.
A Survey on Algorithmic Techniques for Malware Detection

—Malware is a speciﬁc type of software intended to breed damages ranging from computer systems fallout to deprivation of data integrity and conﬁdentiality. Recently, along with the high usage of distributed systems and the increasing speed in telecommunications, the early detection of malware constitutes one of the major concerns in information society. A strong advantage that malware employs in order to elude detection is the ability of polymorphism (metamorphic or polymorphic engines). In this work we present efﬁcient algorithmic techniques that, leveraging higher level abstractions of malware structure, perform an isomorphism check in malware’s produced graph structures, such as function call-graphs and control ﬂow-graphs, in order to detect every possible polymorphic version of a malware. Moreover, we propose an algorithmic approach for malware detection which focuses on the use of behavioural graphs as a more ﬂexible representation of malware’s functionality with respect to its interaction with the operating system. The main idea of our approach is mainly based on behavioural graph similarity issues.
Simulative Investigations On Multi-Input-Multi-Output Communication System

Wireless communication systems are designed to send messages or information from a source that generates the messages to one or more destinations. In a wireless communication system, channel consists of multiple signal paths from the transmitter to the receiver. This multiplicity of paths leads to a phenomenon known as multi-path fading. To meet the demand for higher data rates and to combat the effect of fading, an emerging technology called multiple input and multiple output (MIMO) has appeared. In MIMO systems, multiple antennas at both transmitter & receiver and diversity techniques can be used to reduce multi-path fading and interference. Diversity can be achieved by providing a copy of the transmitted signal over frequency, time and space. This Paper presents investigations on BER Performance of QPSK modulation scheme for different antennas under Rayleigh fading environment.
Testing the Equality of Learning Rates Using a Linear Hypothesis

For over a hundred years, psychologists have tried to describe and understand human learning. While many models disagree on the nature of the process, most agrees that the performance is well described by a power function (Newell and Rosenbloom, 1981). This equation has a curvature parameter as well as two scaling parameters. Recent models are making quantitative predictions on the learning rate, which is represented by the curvature parameter of the function. For example, Logan’s race model (Logan, 1988) predicts that standard deviations and means of response times will decrease at the same rate. The most intuitive way to test this hypothesis is to estimate the best-fitting parameters and to apply a statistical test on those estimations. The problem with this approach is that those estimations are highly biased (Cousineau, Helie and Lefebvre, in press). In the late fifties, Rao (1959) proposed a test of linear hypothesis. By assuming that the learning rates are equal, the power functions (or any other learning model postulated) become a linear combination of each other, irrespective of the scaling parameters. However, since learning data tends to be noisy, the power of Rao’s test was limited. In order to reduce the effects of noise, Cousineau, Helie and Lefebvre (in press) proposed to apply Rao’s test on block-average data.
Open Source Engineering Processes

Abstract Software engineering in open source projects faces similar challenges as in traditional software development (coordination of and cooperation between contributors, change and release management, quality assurance, …), but often uses different means of solving them. This leads to some salient distinctions between both worlds, especially with respect to communication and how technical issues are addressed. The variations within open source software (OSS) communities are considerable, and many different approaches are currently in use, ranging from informal conventions to highly systematic, formally specified and rigidly applied processes. We discuss the archetypal best practises in the field, illustrate them by presenting example projects, and provide a comparison to traditional approaches. Zusammenfassung Software-Engineering in Open Source-Projekten begegnet ähnlichen Herausforderungen, die auch in der klassischen Softwareentwicklung auftreten – angefangen bei der Koordination beteiligter Parteien über Veränderungs- und Versionierungsverwaltung bis hin zur Qualitätssicherung. Allerdings verwenden Open-Source-Softwareprojekte häufig andere Lösungsmethoden. Daraus entstehen substantielle Unterschiede zwischen beiden Welten, insbesondere bezüglich der Art und Weise, wie Kommunikationsfragen und technische Probleme gelöst werden. Innerhalb der Open-Source-Welt variieren die Problemlösungen von Projekt zu Projekt; es existieren viele unterschiedliche Ansätze, die den Bogen von informellen Konventionen hin zu systematischen, formal-definierten und stringent angewendeten Prozessen spannen. Dieser Artikel beschreibt archetypische Erfolgsmethoden, illustriert sie anhand von Beispielprojekten, und vergleicht die Methoden mit traditionellen Ansätzen.
A Web Gaming Facility for Research and Teaching

This essay considers the potential for utilizing web games for research and teaching. It discusses a specific gaming facility that has been constructed and utilized. The gaming facility can be made available for use for those interested in utilizing it for teaching and/or research purposes. The goal is to have this facility be of use for both single play and repeated matrix games. Much of the discussion here is aimed at single play games as a desirable benchmark preliminary to the study of repeated games. Properties of the one stage games are discussed and instructions for the use of the system are supplied. Extensions to multistage games and incomplete information are noted.