Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Subchannel and Power Allocation in IEEE 802.16 OFDMA Systems

ABSTRACT Lots of burst mapping algorithms have been proposed to optimize the two dimensional frame utilization in IEEE 802.16 OFDMA systems. However, almost all of the proposed algorithms only consider the frame usage optimization and do not consider the users' channel conditions. Some of the other researches have been focused on the power control and frequency allocation in the OFDMA-based systems. This paper aims to develop a novel resource allocation approach in IEEE 802.16 OFDMA systems with consideration of the two dimensional frame and the users' channel conditions. In order to further reduce the complexity of resource allocation, a new adaptive step size is proposed to speed up the convergence of the iterative optimal Lagrange multiplier computation. The expression for this step size is mathematically derived. The frequency and power allocation have been conducted in the subchannel and user level. The simulation results show that the throughput in terms of maximum sum rate (MSR) has been improved compared to static power control (the same power allocation to subchannels). Increasing the number of users increases the MSR improvement. This is due to the fact that the user diversity increases.
Surface Tracker: A prototypic model based on IoT and Cloud for Mars Expedition

Nowadays, Mars expeditions are gaining more significance as the world scientists are searching if the red planet can handle life as the blue planet doing. This paper presents a prototypic model that can be used in Mars expeditions. The prototypic model surface tracker is a hardware device equipped with sensors for sensing temperature, humidity, and moisture content of the surface to which it is deployed. For temperature and humidity, sensing the DHT22 sensor is used and FC-28 for moisture sensing. The sensed values are uploaded to IoT platform ThingSpeak and to the Blynk android app, the values are accessed on the screens of mobile or laptop. Based on the results, the analysis is done and if the analysis result is positive, the device will deploy the seeds which it carried, to that surface. The model is a prototype of the idea that can be implemented effectively in Mars expedition by making slight changes in prototype based on the communication technologies used in mars surface as the technologies supporting communication in earth and mars are entirelydifferent.
CALCULATION OF A THREE DIMENSIONAL COORDINATES OF A MANIPULATOR END EFFECTOR IN A COMPOUND FRAMES

Z A Y A X A P P P , , of an end effecter tip which lies in a specific frame {C} with respect to another frame which represents the fixed base frame {A} passing through an intermediate frame {B} by using Matrix Compound Transformation Method i.e. theoretical approach, then followed by measuring the same coordinates by another two traditional procedures, they are: o Self Coordinates Feeding. o Manual Alignment. And comparing the final obtained results (theoretical and experimental) with the standard one. The second step is checking repeatability for the above mentioned methods, by measuring the final tip coordinates for 18 times for each case. The final result shows that the Matrix Compound Transformation Method gives an accurate repeatability comparing with the others.
Rett Syndrome: From Gene to Gesture

women (one in 10000 females at 14 years2). The 1988 International Rett Syndrome Diagnostic Work Group presented criteria for classic Rett syndrome3 stating that the classic Rett case has no other major dysmorphism or disease, appears normal at birth and makes progress to about the 9-12 month stage. Head growth decelerates in mid infancy and remains suboptimal thereafter (not necessarily arrested or microcephalic). Around 6 to 36 months deterioration occurs in hand and speech skills with transient disturbance to personal contact and involuntary movements including hand stereotypy, disturbed postural control and profound, essentially stable learning disability. In the British series cases are designated 'classic' or 'atypical' while Hagberg in Sweden divides the latter into 'variants' and 'formes frustes' (late regression). Stages are reported as: Preregression (or Hagberg-Witt Engerstrom stage I4), Regression (or stage II) and Post-regression (or stage III/IV according to mobility) and Sub-types according to the predominant abnormality of tone: hypotonic, relatively normal, dystonic or hypertonic5. Dr Kerr explained that in her view6-9 the sequential expression of early problems, increasing towards the end of the first year (the 'too good' rather immobile baby with an excess ofrepetitive movement) indicates
Design and Performance Analysis of Compact MIMO Antenna by Mutual Coupling Suppression between Elements

Modern wireless communication systems require low profile, light weight, high gain, and simple structure antennas to assure reliability, mobility, and high efficiency characteristics. Microstrip antennas provide such requirements. This paper presents a compact microstrip antenna array designed for WLAN application. The designed antenna array works in the frequency range of 5.3143 to 5.6291 GHz by using FR4 dielectric substrate with permittivity εr= 4.4 and height, h =1.588 mm. The small spacing between the array elements results in strong mutual coupling, which has been shown to affect the performance by changing the antenna pattern and reducing the antenna efficiency. To mitigate the aforesaid coupling effects, a novel Ring Resonator (RR) Structure was employed in the microstrip antenna array. The proposed structure reduces mutual coupling by 10dB at  /8 element spacing. The simulation has been performed by using HFSS simulator. The designed antenna arrays were fabricated and tested using National Instrument’s NI-PXIe-1075 Spectrum Analyzer. Keywords— array antenna, metamaterials, microstrip antenna, mutual coupling
Reference‐based sensitivity analysis for time‐to‐event data

The analysis of time‐to‐event data typically makes the censoring at random assumption, ie, that—conditional on covariates in the model—the distribution of event times is the same, whether they are observed or unobserved (ie, right censored). When patients who remain in follow‐up stay on their assigned treatment, then analysis under this assumption broadly addresses the de jure, or “while on treatment strategy” estimand. In such cases, we may well wish to explore the robustness of our inference to more pragmatic, de facto or “treatment policy strategy,” assumptions about the behaviour of patients post‐censoring.
INS velocity aiding using bearing-only measurements of unknown landmarks

Small UAVs are often deployed in constrained environments with little or no a priori information concerning obstacle location. In addition, attitude and velocity estimates derived from dead-reckoning techniques such as inertial navigation (IN) suffer divergence particularly when low performance inertial sensors are used. Although large-scale navigation and mapping functionality is often implemented for such systems, a more immediate requirement is the correction of dead-reckoning process errors and estimation of the relative position of nearby objects for collision avoidance purposes. The system considered in this paper consists of a small UAV fitted with a low-cost monocular visual sensor and a MEMS inertial measurement unit (IMU). The paper examines bounding velocity errors of the inertial navigation algorithm using environmental cues from visual measurements of nearby unmapped objects and also estimation of the position of these objects relative to the UAV. It is shown that inertial velocity estimation errors and object position errors are correlated and that the ability to discriminate between them is a function of the UAV trajectory. It is further shown that estimation errors are minimized by continuously maneuvering the UAV relative to the observed objects. To demonstrate this simulated results are presented for a straight-line and maneuvering UAV whilst observing static features.
A comparison of teacher-directed instruction and review vs. computer-assisted instruction and review in the development and maintenance of keyboarding skills at the fifth-grade level

The purpose of the study was to compare the microcomputer keyboarding skills developed by fifth grade students taught by contrasting teaching methods: (1) traditional teacher directed instruction and (2) computer assisted instruction. A secondary purpose was to compare the retention of keyboarding skills between the two groups of fifth graders when semi-weekly review and drill sessions were provided, utilizing primarily the same methods of the initial instructional period. The independent variables were the two instructional delivery methods: Traditional Teacher Directed Instruction and Computer Assisted Instruction. The dependent variable was keyboarding speed. Students had been assigned to classes based on heterogeneous guidelines; fifteen students from each class were included in the study. An analysis of Iowa Tests of Basic Skills stanine scores yielded identical means on the Language Composite portion of the test and near-identical means when Composite scores were compared. This study involved two small samples (N = 15) of independent groups and ratio data were generated; thus the independent t test was determined to be the appropriate test for determining statistical significance. Because of the potential relationship between beginning keyboarding speed scores and speed scores at the end of instruction, one-way analysis of covariance was also employed. Scores of each post-test were covaried with initial scores. Hypotheses stated there would be no significant difference in typing speed between the two groups of students (1) after the initial instruction period and (2) after the review and drill phase of instruction. Post-test keyboarding speeds at the end of the initial instruction period revealed no significant difference. Post-test keyboarding speeds at the culmination of the follow-up review and drill period revealed no significant difference.
Generation of robust networks with optimization under budget constraints

This paper addresses the problem of generating networks that are robust against random failures (i.e., against the random removal of nodes). We construct an agent-based model in which agents represent the nodes of the network that connect to one another aiming to maximize their connectivity. Each agent can build a fixed number of links. However, information about the existing network is costly, so the agents must optimize under budget constraints, i
Inferring recent demography from spatial genetic structure

This thesis is concerned with the inference of current population structure based on geo-referenced genetic data. The underlying idea is that population structure affects its spatial genetic structure. Therefore, genotype information can be utilized to estimate important demographic parameters such as migration rates. These indirect estimates of population structure have become very attractive, as genotype data is now widely available. However, there also has been much concern about these approaches. Importantly, genetic structure can be influenced by many complex patterns, which often cannot be disentangled. Moreover, many methods merely fit heuristic patterns of genetic structure, and do not build upon population genetics theory. Here, I describe two novel inference methods that address these shortcomings. In Chapter 2, I introduce an inference scheme based on a new type of signal, identity by descent (IBD) blocks. Recently, it has become feasible to detect such long blocks of genome shared between pairs of samples. These blocks are direct traces of recent coalescence events. As such, they contain ample signal for inferring recent demography. I examine sharing of IBD blocks in two-dimensional populations with local migration. Using a diffusion approximation, I derive formulas for an isolation by distance pattern of long IBD blocks and show that sharing of long IBD blocks approaches rapid exponential decay for growing sample distance. I describe an inference scheme based on these results. It can robustly estimate the dispersal rate and population density, which is demonstrated on simulated data. I also show an application to estimate mean migration and the rate of recent population growth within Eastern Europe. Chapter 3 is about a novel method to estimate barriers to gene flow in a two dimensional population. This inference scheme utilizes geographically localized allele frequency fluctuations - a classical isolation by distance signal. The strength of these local fluctuations increases on average next to a barrier, and there is less correlation across it. I again use a framework of diffusion of ancestral lineages to model this effect, and provide an efficient numerical implementation to fit the results to geo-referenced biallelic SNP data. This inference scheme is able to robustly estimate strong barriers to gene flow, as tests on simulated data confirm.
Propuesta para Detectar y Procesar la Señal Muscular para la Manipulación de una Prótesis Mioeléctrica

En el presente trabajo se describe la implementacion de un circuito para detectar y acondicionar las senales mioelectricas (SME), el circuito esta formado por una etapa de pre-amplificacion, seguida de una etapa de filtrado, otra etapa de amplificacion y por ultimo la etapa de rectificacion. El diseno de los filtros se realizo por medio del software FilterPro Instruments (Texas Instruments-Boulevard Dallas, Texas USA); y para observar la respuesta del circuito ya construido se utilizo el Software LabVIEW (National Instruments- Austin,Texas USA). El circuito electronico desarrollado cumple con las especificaciones para la deteccion de las SME segun el estado del arte. Posteriormente se implementa un metodo TKEO en MatLAB (MathWorks- Natick, Massachusetts, USA) para procesar las SME con la finalidad de detectar si el musculo esta en actividad o no, el cual resulto robusto y eficiente ademas de que es de facil implementacion. El interes del circuito obtenido y el algoritmo de procesamiento de la senal mioelectrica es para aplicarla en la activacion de una protesis mioelectrica.
Power Gating to reduce Leakage Current in Low Power CMOS Circuits

Power-gating has proved to be one of the most effective solutions for reducing stand-by leakage power in nanometer scale CMOS circuits, and different strategies and algorithms for its application have been proposed recently. Unfortunately, powergating comes with its own set of costs: Performance degradation, area increase, dynamic power increase and routing congestion. A decision to power-gate a design has to be taken, pros and cons of power-gating have to be properly weighted to achieve optimal results. In this paper, “Figures of Merit” (FoMs) for power-gating can be used by designers to better understand the benefits and costs of power-gating, thereby allowing them to achieve optimal results.
A Survey: Different Approaches for Building Ontology and Algorithms used in Cache Optimization

Data integration is an effective approach to combine data that reside in different sources for the purpose of analysis and decision making. Data federation is a data integration strategy used to create integrated virtual data store. Ontology is used to resolve semantic heterogeneity in data integration. This paper focus in different existing system that used ontology based data integration. This paper clearly explains the different existing system along with the comparison. In order to improve the access latency, cache is added in ontology based data integration process. Different cache optimization algorithms also explained along with the comparison. This paper attempts to summarize existing systems and major page replacement algorithms.
Secure Authentication with 3D Password

—Providing Authentication to any system leads to provide more security to that system. There are many authentication techniques are available, Such as textual password, Graphical password, etc. but each of this individually having some limitations & drawbacks. To overcome the Drawbacks of previously existing authentication technique a new improved authentication technique is used, this authentication Scheme is called as 3D password. The 3D password is multi-password & multi-factor authentication system as it uses a various authentication techniques such As textual password, Graphical password etc. Most important part of 3d password scheme is inclusion of 3d virtual environment. 3d virtual environment is virtual environment which is consisting of real time object scenarios. It is not actual real time environment, it is just user interface provided to scheme which looks like same as real environment. 3d password is more secure authentication scheme than any other authentication techniques because this authentication scheme is more advanced than any other schemes. Also this scheme is hard to break & easy to use. In this paper we have introduced our contribution towards 3D Password to become more secure & more user friendly to users of all categories. This paper also explaining about what is 3D password? , working of 3D password scheme, some mathematical concept related to 3D password, applications of scheme etc. all these concepts are briefly introduced & explained in this paper as per section wise.
Estimulación temprana sinónimo de un mejor desarrollo infantil

El proceso investigativo estudia la efectividad que tiene la estimulacion temprana durante el desarrollo infantil en los primeros cinco anos de vida y los beneficios que aporta en la etapa adolescente y adulta de los seres humanos, a traves, de una revision bibliografica que proporciona informacion importante acerca de temas referentes a la estimulacion temprana y que brindaron aportes significativos a la investigacion. El trabajo hace mencion, a las actividades que se deben tomar en consideracion para el desarrollo de los ninos y como los ayuda a potenciar los procesos cerebrales e impulsar las funciones cognitivas, linguisticas, motriz y social, teniendo en cuenta, que el exito de la estimulacion temprana en personas adolescentes y adultas esta ligado a factores como la nutricion y los niveles socio economicos, por lo que se cree necesario, la implementacion de centros o instituciones tanto publicos como privados que promuevan las tareas y actividades de estimulacion para que toda la poblacion tenga acceso y puede ser guiada y para poder aplicarlo a los bebes en los hogares. La estimulacion debe comenzar en los primeros dias de nacido, por medio de, juegos y actividades que se especifican en el desarrollo del trabajo de acuerdo a la edad del nino, tomando en consideracion que el Coeficiente Intelectual de los individuos en la adolescencia esta ligado a la estimulacion temprana de acuerdo a un estudio realizado en donde se pudo determinar que aquellos adolescentes que fueron estimulados a temprana edad mostraron un CI mayor que aquellos que no fueron estimulados.
A GPU Algorithm for 3D Convex Hull

We present a novel algorithm to compute the convex hull of a point set in R using the graphics processing unit (GPU). By exploiting the relationship between the Voronoi diagram and the convex hull, we derive the answer from the former. Our algorithm only requires a few simple atomic operations and does not need explicit locking or any other concurrency control mechanism, thus it can maximize the parallelism available on the modern GPU. Our implementation using the CUDA programming model on Nvidia GPUs is robust, exact, and efficient. The experiments show that it is up to an order of magnitude faster than other sequential convex hull implementations running on the CPU for inputs of millions of points. We further extend our GPU approach to obtain the Delaunay triangulation of points in R by computing their 4D convex hull. Our works demonstrate that the GPU can be used to solve non-trivial computational geometry problems with significant performance benefit, without sacrificing accuracy or robustness. This is an updated version of Technical Report # TRA3/11 with improvement to the algorithm/results. CR Categories: I.3. 5 [Computer Graphics]: Computational Geometry and Object Modelling—Geometric algorithms I.3. 1 [Computer Graphics]: Hardware Architecture—Graphics processors
OPPORTUNITIES OF HARNESSING ORGANIZATIONAL KNOWLEDGE

In order for an organization to harness the most out of its knowledge fluxes, informational stocks and data bases it must focus its interest specifically in those areas. Within this paper we point out the idea that understanding knowledge types and knowledge processes may lead to great performance opportunities for the employees and for the organization. We started our debate through emphasizing the role and importance of knowledge both as a historical concept and as a modern tool for practice. Many discussions about knowledge start from their place in a certain hierarchy and continue by emphasizing in turn each of the following levels. We brought to attention some arguments in order to explain how organizations may transform gradually their databases and information stocks into competitive knowledge. Organizational knowledge has different perspectives, forms and meanings depending very much on the context. Understanding the knowledge hierarchy makes it possible to be more effective and avoid errors by knowing exactly which type of knowledge one needs to use. Further we argue that correct identification of knowledge helps to guide these effectively and therefore contributes to the successful achievement of organizational tasks. At this point we present some very meaningful metaphors of knowledge.
Memristive Ag2S Synapses: Towards Artificial Neural Networks

Present computer processing capabilities are becoming a restriction to meet modern technological needs. Therefore, approaches beyond the von Neumann computational architecture are imperative and the brain's operation and structure are truly attractive models. Memristors are characterized by a nonlinear relationship between current history and voltage and were shown to present properties resembling those of biological synapses. Here we discuss the use of metal-insulator-metal-based memristive devices in neural networks capable of simulating the learning and adaptation features present in human brains. The rst part of this work (Chapter 3) consisted in the fabrication of the samples using diversi ed methods (ion beam deposition, thermal annealing, electrodeposition and dipping in solutions) in order to optimize the processes and select the appropriate one. We were able to control the Ag2S stoichiometry and to characterize the samples using techniques such as X-ray Di raction (XRD), Raman Spectroscopy, Fourier Transform Infrared Spectroscopy (FTIR), Energy Dispersive Spectroscopy (EDS) and Scanning Electron Microscopy (SEM), all described in Chapter 2, as well as electrical resistivity measurements. Transport measurements were then performed in the obtained samples (Chapter 4). The expected resistive switching behavior associated with the Ag2S model system was obtained and di erent switching behaviors were observed in the devices: memristive types I and II curves, bipolar and unipolar behavior, in which both set and reset were seen at negative or positive voltages for di erent cycles, and complementary resistive switching. Furthermore, dependence of the electrical resistance with time was studied, statistical studies were performed and activity-dependent modi cations were also observed. These e ects were attributed to the formation of a metallic lament due to electromigration inside the dielectric layer.