Miracle-dz/UniFAR-FTUs huggingface dataset:
Accurate, scalable, and informative modeling and analysis of complex workloads and large-scale microprocessor architectures

Modeling and analyzing how workload and architecture interact are at the foundation of computer architecture research and practical design. As contemporary microprocessors become increasingly complex, many challenges related to the design, evaluation and optimization of their architectures crucially rely on exploiting workload characteristics. While conventional workload characterization methods measure aggregated workload behavior and the state-of-the-art tools can detect program time-varying patterns and cluster them into different phases, existing techniques generally lack the capability of gaining insightful knowledge on the complex interaction between software and hardware, a necessary first step to design cost-effective computer architecture. This limitation will only be exacerbated by the rapid growth of software functionality and runtime and hardware design complexity and integration scale. For instance, while large real-world applications manifest drastically different behavior across a wide spectrum of their runtime, existing methods only focus on analyzing workload characteristics using a single time scale. Conventional architecture modeling techniques assume a centralized and monolithic hardware substrate. This assumption, however, will not hold valid since the design trends of multi-/many-core processors will result in large-scale and distributed microarchitecture specific processor core, global and cooperative resource management for large-scale many-core processor requires obtaining workload characteristics across a large number of distributed hardware components (cores, cache banks, interconnect links etc.) in different levels of abstraction. Therefore, there is a pressing need for novel and efficient approaches to model and analyze workload and architecture with rapidly increasing complexity and integration scale. We aim to develop computationally efficient methods and models which allow architects and designers to rapidly yet informatively explore the large performance, power, reliability and thermal design space of uni-/multi-core architecture. Our models achieve several orders of magnitude speedup compared to simulation based methods. Meanwhile, our model significantly improves prediction accuracy compared to conventional predictive models of the same complexity. More attractively, our models have the capability of capturing complex workload behavior and can be used to forecast workload dynamics during performance, power, reliability and thermal design space exploration.
An Overview of Spam Filtering Techniques

So fast, so cheep, so efficient, Internet is nowadays an incontestably communicating mean of choice for personal, business and academic purposes. Unfortunately, Internet hasn’t just this beautiful face. Malicious activities are as well exploiting this so fast, cheep and efficient mean. The last decade worms has taken the lights. This last few years spams has appeared infecting one of the most used services : email. In this paper we will overview some techniques to fight spams. When following section present just the principles of the said techniques, an interested reader should refer to the proposed bibliography
Design of Control System for Quadcopter using Complementary Filter and PID Controller

This paper presents about the design of control system of Quadcopter. In this paper we have shown the implementation of control system in software. Control System of Quadcopter consists of two main parts: Complimentary filter and PID block. Complimentary filter act as feedbacks block and provide the angle along x axis and y axis of Quadcopter. We have also shown the need of complimentary filter instead of using just accelerometer and gyroscope directly for finding out the angle along x and y axis using graph plot. PID Controller block calculates the error in angle along x and y axis to give the output signal which reduces the error. We have shown the significance of three constant parameters of PID Controller. All the results of this paper are tested on actual Quadcopter and also plotted in the form of graph using Matlab and Processing software.
Garbage collection and the case for high-level low-level programming

Modern high-level programming languages have helped to raise the level of abstraction at which software is written, increasing reliability and security, while also reducing development costs. Despite the benefits afforded by high-level languages, low-level applications—such as real-time applications and systems programs—have bucked the general trend and continue to be overwhelmingly written in low-level languages such as C. Software complexity is continuing to escalate, reliability and security are now first-order concerns, and hardware is increasingly turning to more radical designs to deliver performance increases. In this environment, the use of low-level languages as the rule for low-level programming is becoming increasingly questionable. These trends raise the question: what is holding back the use of high-level languages for low-level applications? Two key technical barriers are: 1) the limited expressiveness of high-level languages, which often intentionally abstract over detail required to implement needed low-level functionality; and 2) the unique performance requirements of low-level applications, which often demand a combination of throughput, responsiveness, and predictability. My thesis is that high-level languages can and should be used for low-level applications, improving security and reliability, reducing development cost, and combating increasing hardware complexity. I have addressed this challenge of high-level low-level programming through: 1) the development of high-performance garbage collection mechanisms and algorithms, in particular those that deliver on the performance requirements of low-level applications; and 2) the use and refinement of a suitably expressive high-level lowlevel programming approach in the development of garbage collection techniques. This thesis describes techniques to improve garbage collection performance and introduces two novel garbage collection approaches—Cycle Tracing and Generational Metronome—that provide the combination of throughput and responsiveness demanded by low-level applications. This thesis presents a framework for high-level low-level programming that provides tools to construct new abstractions around relevant low-level features. This thesis also draws on experience gained through engineering garbage collectors, and shows how visualization can be an invaluable tool in understanding, debugging, and evaluating complex software systems. These contributions are reinforced through case studies, showing that high-level low-level applications can meet strict performance requirements while maintaining the benefits in design afforded by high-level languages. This work demonstrates that highlevel low-level programming is both possible and beneficial, leaving the most significant roadblock to adoption a cultural one, not a technical one.
Learning vocabulary through a serious game in Primary Education

This study explored the effect of a serious game on the vocabulary of students in primary education. 206 students and 10 teachers used the game during vocabulary lessons in three conditions: (a)online game and vocabulary instruction, (b)online game only, and (c)paper game and vocabulary instruction. Both immediate learning and retention effects were examined. Additionally a student questionnaire and teacher interview regarding their experiences has been employed. Results show a significant learning effect for conditions in which vocabulary instruction was used additional to the game(both paper and digital). Comparison between the three conditions showed the highest learning effect on both the post- and retention test was achieved by students that played the online game and received the corresponding instruction. Teachers were excited about students’ performance and enthusiasm. All teachers thought the game fit their usual program and would replace the conventional vocabulary method.
Design and Implementation of Ultra-Low-Power ZigBee/WPAN Receiver

In recent years, the proliferation of short-range wireless applications for Internet of Things and personal healthcare calls for ultra-low power and cost CMOS radios [1]. Ultra-low voltage (ULV) designs have been one of the key directions to approach a better power efficiency [2–5]. Regrettably, an ULV supply will limit the voltage swing, and device’s fT and overdrives, deteriorating the spurious-free dynamic range (SFDR) while necessitating area-hungry inductors (or transformers) to assist the bias and tune out the parasitic capacitances. This chapter describes the design and implementation of a compact, low-power and high-SFDR receiver suitable for ZigBee or wireless personal area network (WPAN) applications. The research background can be outlined as follows. Four potential ultra-low-power receiver architectures are shown in Fig. 2.1. The first (Fig. 2.1a) employs a single low-noise transconductance amplifier (single-LNTA) followed by two passive I/Q mixers and transimpedance amplifiers (TIAs). If a 50 %-duty-cycle local oscillator (50 % LO) is applied, this topology can suffer from image current circulation between the I and Q paths, inducing I/Q crosstalk, unequal high-side and low-side gains, IIP2 and IIP3 [6]. Lowering the LO duty cycle to 25 % (Fig. 2.1b) can alleviate such issues [7], at the expense of extra sine-to-square LO buffers and logic operation. Another alternative is to add two signal buffers before the mixers (Fig. 2.1c), but they must be linear enough (i.e., more power) to withstand the voltage gain of the low-noise amplifier (LNA) [8, 9]. The basis of our proposed solution (Fig. 2.1d) is to split the LNTA into two, such that a single-ended RF input is maintained, while allowing isolated passive mixing that facilitates the use of a 50 % LO for power savings. This chapter is organized as follows: Sect. 2.1 will give an overview of the operating principle of the proposed “split-LNTA + 50 % LO” receiver. An analytical comparison of it with the existing “single-LNTA + 25 % LO” architecture will be presented in Sect. 2.2. In Sect. 2.3, a number of circuit techniques will be proposed, including: (1) a low-power voltage-mode transimpedance amplifier (TIA) to enhance the out-channel linearity both at RF and baseband (BB); (2) a mixed-supply (VDD) design approach [10] to alleviate the design trade-offs in RF LNTA (power, gain and noise) and BB TIA (power, linearity and signal swing); (3) a low-power LO generation scheme that consists of a LC voltage-controlled oscillator (VCO) and an input-impedance-boosted Type-II RC-CR network. They
Algoritmos para el control de indicadores clave de desempeño para Smart Cities

In each city diverse and different type of situations emerge, to which the city has to adapt itself. This implicates a continuous change on its evolution process that involves a number of variables. This scheme difficult methodologies and tools integration to measure the indicators that allows the decision making for the improvement of the living conditions. The selection of the key performance indicators of a city represents a model. In this work are presented the design and a prototype that implement the algorithms of a general scheme for key performance indicators for Smart Cities. Moreover, this design allows a systematic approach for monitoring and updating the key performance indicators, as well as comparing different reports of different models. The
Man muss (wissen) entscheiden – schwer: die Bedeutung von Vorwissen beim Lernen mit bioethischen Dilemmata

Die Dissertation erforscht den Einfluss von Vorwissen auf den Lernerfolg mit komplexen, interdisziplinaren Themen wie bioethischen Fragestellungen. Vorwissen ist in der padagogischen Psychologie ein gut erforschtes Konzept. Allerdings gibt es kaum Ergebnisse, welchen Einfluss es auf komplexe, interdisziplinare Themen hat. Religionspadagogische Forschung zu Vorwissen gibt es kaum, allerdings gibt es einige Forschung zum Lernen mit komplexen, interdisziplinaren Dilemmata. Diese Arbeit bietet detaillierte Einblicke zum Vorwissenskonzept und zu Forschung mit bioethischen Themen, woraus sich Forschungsfragen ergeben. Mit vier Forschungsartikeln werden diese Forschungsfragen beantwortet. Ein allgemeines Ergebnis dieser Artikel ist, dass die Erinnerung an Informationen zu einem komplexen Thema wesentlich durch Vorwissen aus verschiedenen Domanen gleichzeitig unterstutzt wird. Zuletzt werden die Forschungsergebnisse ausgiebig interpretiert und diskutiert.
Application of computer simulation methods to the study of Platinum Group minerals

Computer simulation studies of a few representative Platinum-GroupMinerals (PGM), which are of industrial importance to the mining industry in South Africa were carried out. The electronic, structural and optical properties of PGM (PtS, PdPt3S4, PtAs2 and Pt4As4S4) were calculated within the framework of the density functional theory. We have used both the pseudopotential planewave and the Tight Binding Linear Muffin-Tin Orbital (TB-LMTO) methods to complement each other, since there is not much experimental data available for these systems. In the TB-LMTO method, the radii of overlapping Muffin Tin (MT) spheres were chosen to provide an efficient packing of space while ensuring that the overlap between the spheres remains small. The ground state structural properties were obtained by self-consistent energy minimization with respect to the atomic volume. The predicted equilibrium volume is within less than 15% of experiment. We have also found non-metallic semi-conducting behaviour for the three systems, PtS, PdPt3S4 and PtAs2 using both ab initio techniques. On the other hand, Pt4As4S4 was predicted to be metallic. We argue that the strong bonding between the Pt 5d and the S(As) 3p(4p) states plays a crucial role in the formation of the band gap in the semiconducting. The optical properties of PtS, PdPt3S4 and PtAs2 were calculated, and their reflectance spectra were found to be in good agreement with the experimental measurements. Full relaxation of both the volume and the internal parameters was carried out using the plane-wave pseudopotential method. It was found that the internal parameters as well as the bond lengths decrease with hydrostatic compression particularly for the cubic PtAs2, Pt4As4S4 and tetragonal PdPt3S4, and PtS has no internal parameters. The bulk moduli were calculated for these representatives of PGM and there are currently no experimental results available. We have derived a new set of potential models for PtS, PdPt3S4, PtAs2 and Pt4As4S4 structures. The models were used to study the pressure dependence of lattice constant for all the four systems and agree well with our electronic structure methods. However, PtS display anomaly under hydrostatic pressure, by expanding along c-lattice constant with increased pressure, for which there are no experimental evidence. We then modelled the structure and stabilities of PtAs2 and Pt4As4S4 of the dry and hydrated surfaces for low and high index surfaces, and predicted the {100} surface to be the most stable in both cases. It is further shown that molecular absorption of water has a stabilising effect on all the surfaces of the two structures. Stepped surfaces were created for {510} and {610} for both PtAs2 and Pt4As4S4 in order to model more realistic surfaces under dry condition with one dimensional defects, and then acute stepped were found to be the most stable compared to the obtuse steps. The three surfaces expressed in the equilibrium morphology of PtAs2, {100}, {210} and {102}, are in good agreement with experiment.
Trace element mobility during CO2 storage: application of reactive transport modelling

The geologic storage of CO2 carries both physical and chemical risks to the environment. In order to reduce those risks, it is necessary to provide predictive capabilities for impacts so that strategies can be developed to monitor, identify and mitigate potential problems. One area of concern is related to water quality both in the reservoir and in overlying aquifers. In this study we report the critical steps required to develop chemically constrained reactive transport models (RTM) that can be used to address risk assessment associated with water quality. The data required to produce the RTM includes identifying the individual hydrostratigraphic units and defining the mineral and chemical composition to sufficient detail for the modelling. This includes detailed mineralogy, bulk chemical composition, reactive mineral phase chemical composition and the identification of the occurrence and mechanisms of mobilisation of any trace elements of interest. Once the required detail is achieved the next step involves conducting experiments to determine the evolution of water chemistry as reaction proceeds preferably under varying elevated CO2 fugacities with and without impurities. Geochemical modelling of the experiments is then used for characterising the reaction pathways of the different hydrostratigraphic units. The resultant geochemical model inputs can then be used to develop the chemical components of a reactive transport model.
Adaptive Feedback Characteristics in CAT

Feedback is an essential element in learning. The educator (real or artificial) responds to the learner's actions, emotions, intentions, etc. in order to help her to become self- aware and improve. Recently, Computer Adaptive Testing (CAT) is gaining high popularity due to its efficiency in testing large number of examinees. This paper examines the attributes of Adaptive Feedback in CAT. Designers and developers of CAT systems may rely on these attributes to produce effective feedback adapted to the learner or the educational context.
Seinfeld and Economics: How to Achieve the Revised Bloom's Taxonomy in an Introductory Economics Class.

This paper presents an innovative teaching technique, the utilization of a popular sitcom to teach an introductory economics course. Using clips from the television show Seinfeld, instructors can present the oft-perceived difficult, yet basic, economic concepts in an amenable manner, which also enables the achieving of higher levels of learning as per Bloom’s taxonomy. Many higher education institutions require an economics course as part of the general education curriculum. These courses typically tend to have high rates of failure relative to other required general education classes. One pedagogical tool to improve pass rates is to use Seinfeld Economics. A typical assignment based on an episode is provided in the appendix to further help adopt this pedagogical tool.
LANDSLIDE DEFORMATION MONITORING BY THREE-CAMERA IMAGING SYSTEM

Abstract. Landslide deformation is a critical issue for WuWanZai as it will affect the road safety and cause transportation problem. Since the relief of this area is about 400 meters with an area of tens of hectares, we use an unmanned helicopter equipped with a three-camera imaging system to acquire high spatial resolution images in order to measure detail terrain variation. The unmanned helicopter can fly according to terrain slope to obtain 1–3 cm spatial resolution images. The acquired three-camera images are stitched into one perspective image in advance to construct a large format virtual image with a frame size of 34 mm by 78 mm and a FOV of 53° × 97°. Integrating ground control points that were measure by static GNSS continuous observation, we conduct aerial triangulation and dense point cloud generation by PhotoscanPro. We have acquired six dataset of UAV images since April 20, 2018. Then, we have conducted cloud-to-cloud distance calculation, DSM elevation difference calculation, ortho-image change analysis, photogrammetric points and GNSS stations displacement analysis, etc. In the end, from photogrammetric point displacement analysis, we have detected 1.6 meters displacement around the fourth curve of WuWanZai due to a heavy rainfall occurred at June 20. Based on the cloud-to-cloud distance analysis and DSM elevation difference results, we have observed more than 5 meters of height difference at the landslide area due to another heavy rainfall happened at Oct. 23–24. Experimental results demonstrate that by using the proposed UAV and three-camera imaging system can effectively detect landslide deformation in high accuracy.
Development of a wearable mobility monitoring system

Monitoring the mobility of people with physical disabilities is an important part of rehabilitation medicine. A Wearable Mobility Monitoring System (WMMS) that can monitor mobility within the home environment and the community for a long period could be a valuable tool for the clinical professional. Current available technologies, such as small accelerometers and the new generation of Blackberry handheld devices, provide a great opportunity to create such a system. This paper presents preliminary research on a proof-of-concept system that evaluates the BlackBerry as a WMMS platform. For this pilot study, a simple biomechanical monitoring system was created using a commercial human motion capture system, the Xbus kit from Xsens Technologies. Java software was written for BlackBerry 8800 to log and process real-time orientation data sent by the Xbus Master via Bluetooth connection, and also to log GPS coordinates and the GPS data acquisition time. This pilot project provides insight into the data logging expectations for a Bluetooth connection over typical BlackBerry devices and real-time programming issues with WMMS applications.
Network Communication Technology

From the Publisher: This text emphasizes the technology aspects of networking instead of a strict focus on theory or networking software. The topics are appropriate for introductory courses in both Electronics and Computer Science. Networking topics are covered in simple terms, with an emphasis on the practical rather than the theoretical. Undergraduate students majoring in Electronics or Computer Science will find this to be an ideal text for the first course in computer networks. It is also appropriate for upper level courses for IS students and for students in technical colleges. (Keywords: Electronic Communication)
Empirical Support for New Probabilistic Generalized LR Parsing

Hydrocarbons are recovered from subterranean formations by injecting into a hydrocarbon bearing formation via an injection well a fluid comprising water containing a small amount of a water-soluble, sulfated, ethoxylated polyphenol, forcing the said fluid through the formation and recovering hydrocarbons through a production well. The fluids employed may, if desired, contain an alkaline agent such as sodium hydroxide.
Ownership, productivity and firms´ life-cycle

Empirical evidence on productivity differences between family owned and non-family owned firms is still sparse and reveals conflicting results. Unlike previous studies, we analyse the effect firm´s life cycle on productivity using a large sample of non-listed firms. Furthermore, we consider a model with heterogeneity of inputs between the two types of firms and addressing possible endogeneity problems. We conclude that there are no significant differences in productivity between family and non-family firms, for both startup/growth and mature stages of life cycle. Furthermore, labour seems to be the main determinant of family firms’ productivity, which is especially evident for firms in the mature stage.