Miracle-dz/UniFAR-FTUs huggingface dataset:
Wide-bandwidth fully integrated Cartesian feedback transmitter

In this paper the potential of Cartesian feedback for wide-bandwidth operation is explored. The detrimental effect of the loop delay on the achievable bandwidth is discussed and several circuit arrangements are proposed, which can be exploited to overcome such limitation. The design and measured performance of the first fully integrated Cartesian feedback transmitter are presented. A novel phase shifter with full control range allows stable operation by compensating the phase shift due to the RF chain. The circuit achieves a linearization bandwidth as high as 60 MHz. An intermodulation improvement of up to 24 dB is observed as the device is tested by means of a wideband code-division multiple access 5-MHz-bandwidth modulated input signal.
Robust Nonlinear Controller Design for a Complete UAV Mission

A robust nonlinear controller is designed for a complete Unmanned Aerial Vehicle UAV mission employing a combination of dynamic inversion and H∞ control. An inner-loop/outer-loop control structure is employed to synthesize a full envelope nonlinear controller for a complete UAV mission. In the inner loop, a modified time-scale separation approach is employed to feedback linearize the nonlinear model. In the outer loop, an H∞ control procedure is used to achieve performance and robustness design goals. The reference flight envelope is a complete mission. The uncertainties considered include uncertainty in UAV model parameters such as the stability derivatives, weight, center of gravity location, and airspeed variations. Atmospheric disturbances and measurement noise are also included. Since robustness and disturbance rejection must be verified, flight simulation under a variety of uncertainties is performed using MATLAB/Simulink.
Analysis of Reward Programs in Membership Services Using Agent-based Simulation

In service industries, service providers offer various reward programs to consumers with the aim to build customer loyalty and increase sales. In this research, we model membership services as club goods and analyze the reward programs. Club goods are defined as excludable and nonrival public goods. We conduct equilibrium analysis, experiments with human subjects and multi-agent simulation. In theoretical equilibrium, all consumer players become a member. But the results of the experiments indicate that provider players do not properly set the entry fee and the service price for members and consumer players sometimes make irrational decisions of membership entry. Moreover, we elucidate subjects' behavior mechanism of the membership entry by simulations. Results of simulations suggest that the subjects' behavior might be based on the value of how many times they should use services in order to recover payment of the entry fee.
3D Hand Gesture Analysis through a Real-Time Gesture Search Engine

3D gesture recognition and tracking are highly desired features of interaction design in future mobile and smart environments. Specifically, in virtual/augmented reality applications, intuitive interaction with the physical space seems unavoidable and 3D gestural interaction might be the most effective alternative for the current input facilities such as touchscreens. In this paper, we introduce a novel solution for real-time 3D gesture-based interaction by finding the best match from an extremely large gesture database. This database includes images of various articulated hand gestures with the annotated 3D position/orientation parameters of the hand joints. Our unique matching algorithm is based on the hierarchical scoring of the low-level edge-orientation features between the query frames and database and retrieving the best match. Once the best match is found from the database in each moment, the pre-recorded 3D motion parameters can instantly be used for natural interaction. The proposed bare-hand interaction technology performs in real time with high accuracy using an ordinary camera.
OKUMA YAZMA ÖĞRENEREK İLKOKULA BAŞLAYAN ÇOCUKLARIN KARŞILAŞTIKLARI SORUNLARIN DEĞERLENDİRİLMESİ

In this study, which uses the qualitative research method, the aim was to determine the problems faced by first grade students who learnt to read and write at kindergarten during the learning and teaching process, beginning with emergent literacy.The study group of the research was composed of 64 students who entered the first grade having learnt to read and write at kindergarten and 37 classroom teachers who taught these students. Students who started first grade after learning to read and write at kindergarden mostly learned to read by transferring informationfrom monitor and computer keyboard. In kindergarten, students’ reading abilities were affected by line practices, alphabet instruction and first and last name writing practices. Students’ reading and writing skills did not develop at the same rate. Based on the data obtained, it was concluded that students who started first grade after learning to read and write at kindergarten were poorly motivated during the learning and teaching process and experienced difficulties with writing.
Real-Time Wireless Networks

Real-time applications in wireless networks are emerging in multimedia product and design. However, conventional real-time message scheduling algorithms generally do not take energy efficiency into account when making scheduling decisions. In this paper, we address the issue of scheduling real-time messages in wireless networks subject to timing and power constraints. A novel message scheduling scheme, or PARM (Power-aware Realtime Message), is developed to generate optimal schedules that minimize both power consumption and the probability of missing deadlines for real-time messages. With a power-aware scheduling policy in place, the proposed PARM scheme is very energy efficient. In addition, we extended a power consumption model to calculate power consumption rates in accordance to message transmission rates. Experimental results show that PARM significantly improves the performance in terms of missed rate, energy efficiency, and overall performance over four baseline message scheduling schemes.
Addition to "An analysis of flicker noise rejection in low-power and low-voltage CMOS mixers"

The sensitivity of RF CMOS receivers using a direct conversion or a low-IF architecture is strongly affected by flicker noise. This paper gives theoretical guidelines to predict the flicker noise in Gilbert-cell mixers. The conversion gain, the equivalent input and output noise, and the effect of the pole at the single internal RF node are discussed. For the first time, results which are valid in all modes of operation are given. Such complete results are required for some ultra low-power and low-voltage applications, since the transistors might be operated in moderate or even weak inversion region. The theoretical gains are found to remain within a 2-dB margin with respect to the measurements of a UHF downconverter built in a 0.5 /spl mu/m process, for a large range of bias conditions and local oscillator swing.
Körperliche Aktivität und körperliches Training in der Rehabilitation einer Krebserkrankung

Zusammenfassung Ziel der Arbeit: Eine Krebserkrankung und ihre meist lang andauernde und intensive medizinische Behandlung wirken sich nachhaltig und tiefgreifend auf das körperliche, funktionale, emotionale und soziale Wohlbefinden vieler Betroffener aus. In diesem Zusammenhang zeigen sich die ganzheitlichen positiven Effekte von bewegungstherapeutischen Interventionen als erfolgversprechend. Ausgehend von der aktuellen Literatur sollen Bewegungsempfehlungen, insbesondere für das Ausdauer- und Krafttraining in der Rehabilitation nach einer Krebserkrankung, abgeleitet und im Anschluss daran die Besonderheiten der 3 Hauptkrebsentitäten Brustkrebs, Prostatakrebs und Darmkrebs kurz erläutert werden. Methoden: Basierend auf einer hierarchischen Literaturrecherche mit der Dachdatenbank Medpilot und auf den Evidenzgraden und Empfehlungsstärken der „European Society of Cardiology“ werden evidenzbasierte Bewegungsempfehlungen für Menschen mit Krebserkrankungen ausgesprochen. Ergebnisse: Fasst man die aktuelle Studienlage zusammen, so zeigt sich, dass körperliche Aktivitäten für Menschen mit Krebserkrankungen machbar, sicher und effizient sind. Sowohl Ausdauertraining als auch Krafttraining zeigen positive Auswirkungen auf physiologischer, psychologischer und sozialer Ebene der Patienten und sollten daher die Grundlage eines Bewegungsprogramms in der Rehabilitation bilden. Schlussfolgerung: Während die Evidenz vor allem bei Brustkrebs und zunehmend auch bei Prostatakrebs gut ist, ist die Datenlage beispielsweise für Darmkrebs noch unzureichend. Um für die verschiedenen Krebsentitäten und unterschiedlichen Behandlungsphasen genauere Empfehlungen bezüglich optimaler Bewegungsformen und Belastungsnormativen geben zu können, müssen weitere qualitativ hochwertige Studien folgen.
Frequency offset estimation in an OFDM system

The orthogonal frequency division multiplexing (OFDM) system has recently attracted increasing interest for its robustness of frequency selective fading, and is believed to be an important technique for future high-speed wireline and wireless communications, including cellular mobile communication systems. However, a well-known problem of such a multi-carrier modulation is its vulnerability to synchronization errors. The frequency offset, which results from a Doppler shift, due to mobile movement, as well as the inherent instability of the transmit and the receive reference, causes a loss of orthogonality between the subcarriers, and hence, produces intercarrier interference (ICI). To solve this problem, we trade on the correlation of the samples at the output of the discrete Fourier transform (DFT) to estimate the frequency offset by using the extended Kalman filter (EKF), which blindly tracks the frequency offset via a recursive procedure. Simulation results are given to illustrate the tracking performance of this algorithm.
Improved image retrieval based on fuzzy colour feature vector

One of Image indexing techniques is the Content-Based Image Retrieval which is an efficient way for retrieving images from the image database automatically based on their visual contents such as colour, texture, and shape. In this paper will be discuss how using content-based image retrieval (CBIR) method by colour feature extraction and similarity checking. By dividing the query image and all images in the database into pieces and extract the features of each part separately and comparing the corresponding portions in order to increase the accuracy in the retrieval. The proposed approach is based on the use of fuzzy sets, to overcome the problem of curse of dimensionality. The contribution of colour of each pixel is associated to all the bins in the histogram using fuzzy-set membership functions. As a result, the Fuzzy Colour Histogram (FCH), outperformed the Conventional Colour Histogram (CCH) in image retrieving, due to its speedy results, where were images represented as signatures that took less size of memory, depending on the number of divisions. The results also showed that FCH is less sensitive and more robust to brightness changes than the CCH with better retrieval recall values.
The Spoken Language Corpus at the Department of Linguistics, Göteborg University

This paper summarizes work on spoken language at the Department of Linguistics Gote- borg University. In addition to describing the recordings contained in the Spoken Language Corpus of Swedish at Goteborg University, we discuss the standard of transcription (MSO) which is used in creating the transcriptions, as well as some types of quantitative and qualitative analysis that have been done. Finally, we describe the computer tools that have been developed to support transcription, coding and analysis and briefly mention some of the results which have been obtained.
Performance comparison of single sequence RNA secondary structure prediction approaches and a method to determine accuracy of prediction by CONTRAfold

RNA, once considered to be just a carrier of genetic information, is now known to play a broader role in nature. In many RNA-related studies, knowing the secondary structure of an RNA sequence reveals important constraints governing the molecule's physical properties and function. Experimental determination of RNA structure remains difficult. For predicting secondary structure of RNA molecules, many software packages are currently in use which use different approaches to predict RNA secondary structure. No standardization exists for ranking or comparing these prediction algorithms. Also no benchmark dataset exists to be used for comparison. As a result it is difficult to compare a new prediction algorithm with existing algorithms. To overcome this problem of evaluating performance of different algorithms, we try to get results from major prediction software based on a wide variety of RNA sequences obtained from RNA STRAND as input, and compare the results on the basis of some standard comparison parameters. Also in our research we choose a method which gives the best overall prediction results compared to other methods, and we try to come up with an algorithm which can help the user to determine a method's accuracy of a secondary structure prediction.
COMPARATIVE STUDY OF SOFTWARE TESTING TOOLS ON THE BASIS OF SOFTWARE TESTING METHODOLOGIES

Software testing is the main phase for the quality assurance of software during the software development life cycle. There are number of automated software testing tools are available to automate the testing process. In this paper, we will study and analyze testing tools over the types of testing methodologies on the basis of three types of software products web application, application software, and network protocol. The outcomes of this categorization are useful in software testing to know which testing tool is best for a specific type of testing.
Seismic buffer recognition using mutual information for selecting wavelet based features

One of the first operations in seismic signal processing system is to distinguish between valid and invalid records. Since valid signals are characterized by a combination of their time and frequency properties, wavelets are natural candidates for describing seismic features in a compact way. This paper investigates an approach to seismic pattern recognition comprising wavelet-based feature extraction, feature selection based on the mutual information criterion and neural classification based on feedforward networks. The ability of the wavelet transform to capture discriminating information from seismic data in a small number of features is compared against alternative feature reduction techniques, including statistical moments.
Protocols for Quantum Communication

We show how the techniques developed for long distance quant um key distribution in optical fibers can be used to demonstrate other quantum informa tion processing and communication protocols. We present a fiber optics realizationof the Deutsch-Jozsa and Bernstein-Vazirani algorithms. We describe a method, call ed ”error filtration”, for reducing errors in quantum communication channels, and prese nt an experimental implementation thereof. We discuss the cryptographic primitiveof string flipping, and present an experimental implementation which has higher security th an achievable using any classical protocol.
A subdivision algorithm for computer display of curved surfaces.

Abstract : This report presents a method for producing computer shaded pictures of curved surfaces. Three-dimensional curved patches are used, as contrasted with conventional methods using polygons. The method subdivides a patch into successively smaller subpatches until a subpatch is as small as a raster- element, at which time it can be displayed. In general this method could be very time consuming because of the great number of subdivisions that must take place; however, there is at least one very useful class of patches - the bicubic patch - that can be subdivided very quickly. Pitures produced with the method accurately portray the shading and silhouette of curved surfaces. In addition, photographs can be 'mapped' onto patches thus providing a means for putting texture on computer-generated pictures.
APPROXIMATION ALGORITHM FOR SCALING OUT LARGE-SCALE BAG-OF-TASKS APPLICATIONS ACROSS MULTIPLE CLOUDS

Large-scale Bag-of-Tasks (BoT) applications are characterized by their massively parallel, yet independent operations. The use of resources in public clouds to dynamically expand a private cloud might be an appealing alternative to cope with such massive parallelism. To fully realize the benefit of this ‘multi-cloud’ deployment, cost efficiency must be thoroughly studied and incorporated into scheduling and resource allocation strategies. In this paper, we address the problem of running a large number of tasks (BoT application) on resources in a multiple cloud environment capturing the tradeoff between cost and time/performance, and present two task assignment algorithms as novel cost efficiency solutions. Specific contributions in this work are (1) the heterogeneity of both resources and tasks is taken into account in our algorithms, (2) cost and performance of running jobs across multiple clouds are effectively modeled in our objective function, (3) our algorithms guarantee that the quality of task assignment is optimal or at least near-optimal, (4) the time complexity of these algorithms is very low, and (5) The performance and practicality of our algorithms have been thoroughly evaluated in terms of both performance and cost with experiments in both simulation and Amazon EC2 environments using several real-world BoT applications. To the best of our knowledge, this work is the first extensive study on the cost efficiency of scaling out large-scale BoT applications across multiple clouds explicitly dealing with heterogeneity of both tasks and resources. We have theoretically discussed the correctness of our algorithms and experimentally verified their efficacy of practicality. Results obtained from our experiments both in simulated and real cloud environments have verified our claims.
Standard Definitions for Use in Reporting Electric Generating Unit Reliability, Availability, and Productivity

This standard provides a methodology for the interpretation of electric generating unit performance data from various systems and to facilitate comparisons among different systems. It also standardizes terminology and indexes for reporting electric generating unit reliability, availability, and productivity performance measures. This standard is intended to aid the electric power industry in reporting and evaluating electric generating unit reliability, availability, and productivity while recognizing the power industry’s needs, including marketplace competition. Included are equations for equivalent demand forced outage rate (EFORd), newly identified outage states, discussion of commercial availability, energy weighted equations for group performance indexes, definitions of outside management control (OMC), pooling methodologies, and time-based calculations for group performance indexes.
On Invariants to Characterize the State Space for Sequential Logic Synthesis and Formal Verification

On Invariants to Characterize the State Space for Sequential Logic Synthesis and Formal Verification by Michael Lee Case Doctor of Philosophy in Engineering—Electrical Engineering and Computer Science University of California, Berkeley Professor Robert Brayton, Chair Because of the large size of industrial designs, modern sequential logic synthesis and formal verification techniques cannot afford to accurately characterize the state space of a design. This limits the ability to both optimize designs and to formally prove the the designs behave as required. Invariants are properties that hold in all reachable states. They can be generated in an automated manner, and the set of generated invariants provides a characterization of the design’s state space. This characterization can be utilized sequential logic synthesis and formal verification. In total, this thesis provides 1) a framework to efficiently generate invariants, 2) extensions to sequential logic synthesis to make it more capable of reducing the size of complex designs, and 3) extensions to formal verification to increase its scalability on complex industrial designs. Professor Robert Brayton, Chair Date
An Appearance based Method for Eye Gaze Tracking

Problem statement: Gaze estimation systems compute the direction of e ye gaze based on observed eye movements. The need for gaze-contingent applications is the basis of the current research work. The gaze pointing systems is a substitute for the existing input devices. Approach: The gaze tracking methods are either feature based or appear ance based. In this study, an appearance based approach for gaze tracking is proposed based on Run Length Coding (RLC). The experiment was conducted considering transitional changes and the class-intervals in iris pixels. The image acquisiti on begins from the center of the screen in anticlockwi se direction. The center of the screen was the pivo t point. Results: Using RLC, the recognition rate of 95% was achieved. The image analysis in different directions determines the gaze point. The direction s was determined with respect to the pivot point. Conclusion: The proposed system provides a robust, less computational gaze tracking method usi ng web camera.
Ontology Sparse Vector Learning Based on Accelerated First-OrderMethod

In this article, we present a sparse vector learning algorithm for ontology similarity measure and ontology mapping by virtue of accelerated first-order technology. The main procedure of our iterative algorithm is relying on prox- imity operator computation, Picard-Opial process and accelerated first-order tricks. The simulation experimental results show that the new proposed algorithm has high efficiency and accuracy in ontology similarity measure and ontology mapping in plant science and university application.
Augmented reality in Education — Cases, places, and potentials

Augmented Reality is poised to profoundly transform Education as we know it. The capacity to overlay rich media onto the real-world for viewing through web-enabled devices such as phones and tablet devices means that information can be made available to students at the exact time and place of need. This has the potential to reduce cognitive overload by providing students with `perfectly situated scaffolding', as well as enable learning in a range of other ways. This paper will review uses of Augmented Reality both in mainstream society and in education, and discuss the pedagogical potentials afforded by the technology. Based on the prevalence of information delivery uses of Augmented Reality in Education, we argue the merit of having students design Augmented Reality experiences in order to develop their higher order thinking capabilities. A case study of `learning by design' using Augmented Reality in high school Visual Art is presented, with samples of student work and their feedback indicating that the approach resulted in high levels of independent thinking, creativity and critical analysis. The paper concludes by establishing a future outlook for Augmented Reality and setting a research agenda going forward.