Miracle-dz/UniFAR-FTUs huggingface dataset:
BER AND SIMULATION OF OFDM MODULATOR AND DEMODULATOR FOR WIRELESS BROADBAND APPLICATIONS

With the rapid growth of digital wireless communication in recent years, the need for high speed mobile data transmission has increased. New modulation techniques are being implemented to keep up with the desired more communication capacity. Processing power has increased to a point where OFDM has become feasible and economical. Some examples of current applications using OFDM include DVB (Digital video broadcasting), DAB (Digital audio broadcasting), and HDTV (high - definition television). OFDM as a transmission technique has been known having a lot of strengths compared to any other transmission technique, such as its high spectral efficiency, its robustness to the channel fading. Orthogonal. frequency division multiplexing (OFDM) has become very popular, allowing high speed wireless communications. Orthogonal frequency division multiplexing (OFDM) has become very popular, allowing high speed wireless communications. A basic OFDM system consists of a QAM or QPSK modulator, a serial to parallel data, and an IFFT and FFT module, Guard interval inserter, in phase and quadrature phase signal generator, and parallel to serial data. In this thesis I have implemented the OFDM modulator and demodulator by using different types of digital modulation techniques such as BPSK, QPSK, 8-QAM. BER for OFDM by using 8-QAM,16-QAM, 64-QAM . MATLAB environment was used for simulation of proposed algorithm.
Annuntiatio Domini: Metaphoric conceptualization and gesture analysis in painted representations of the Annunciation

In this article, we analyze ten artistic paintings of the Annunciation ranging from the XV century to the XX century in order to describe how the interaction between pictorially represented gestures and other pictorial elements allows them to convey more abstract meanings. Applying a historical approach to the gestures expressed by Mary, we show how — despite the different artistic approaches and sensitivities — her hand gestures always have a primary importance in conveying the meanings of PRUDENCE, CAU¬TION, FEAR, SURPRISE, CONCERN and GRATITUDE. We show how such gestures can be related to ordinary linguistic expressions that present analogous meanings. It is thus shown how gestural metaphor may interact with other modalities in pictorial representations.
Unrestrained Sensor Systems Using Piezoelectric Elements for Bed-Leaving Prediction

©2013 The Japan Society of Mechanical Engineers This paper presents a sensor system to predict behavior patterns that occur when patients leave their beds. We originally developed plate-shaped sensors using piezoelectric elements. Existing sensors such as clip sensors and mat sensors require restraint of patients. Moreover, these sensors present privacy problems. The features of our sensors are that they require no power supply or patient restraint. We evaluated our system using a basic experiment to predict seven behavior patterns with machine-learning algorithms without setting thresholds. We obtained a result of predicted behavior patterns related to bed-leaving using only six sensors installed under a bed. Especially, our system can correctly detect behavior patterns of lateral sitting, which is a position that occurs when a patient tries to leave from the bed, and terminal sitting, which is the position immediately before bed-leaving. They were discerned from other behavior patterns.
The sound of a tropical forest

Recording of forest soundscapes can help monitor animal biodiversity for conservation Conservation areas around the world aim to help conserve animal biodiversity, but it is often difficult to measure conservation success without detailed on-the-ground surveys. High-resolution satellite imagery can be used to verify whether or not deforestation has occurred in areas dedicated for conservation (1). Such remote sensing analyses can reveal forest loss and, in some cases, severe forest degradation, such as through fragmentation and intensive selective logging, especially if it includes the construction of roads or camps. However, conservation benefit is determined not only by forest loss but also by the level of degradation in those forests left standing. Bioacoustics—specifically the recording and analysis of entire soundscapes—is an emerging tool with great promise for effectively monitoring animal biodiversity in tropical forests under various conservation schemes (2, 3).
Postprocessing For Edge Enhancement In Low Bit Rate Coded Images

Low bit rate image coding results in artifacts at reconstruction whose characteristics depend on the form of the coding/decoding algorithm used. A very common, and visually objectionable effect of most coding methods is distortion of edges. Classical spatially-invariant filtering techniques are of little use in removing this signal-dependent reconstruction error. This paper presents an algorithm for locating and tracing perceptually important edges, and for enhancement through nonstationary filtering. Edge detection and enhancement are reduced to a sequence of simple one-dimensional processes. The algorithm yields encouraging experimental results when applied to images coded by the block list transform and vector quantization.
EXPLOITING CONCEPT MAP MINING PROCESS FOR E-CONTENT DEVELOPMENT

E-learning has revolutionized education all over the world, defining a different and promising aspect of education, reinforcing the perception that it builds inclusive knowledge societies. Higher Education Institutes (HEI) adopted this innovative education model in order to provide to their students the option of distance education. Since the most important component of e-learning is e-content, its development is a popular research topic in the educational community. Due to the fact that e-content reusability can be increased by using an approach based on Learning Objects (LOs), many methodologies of econtent design introduce guidelines for creating LOs. LOs can make the process of e-learning effective and can offer high quality e-Learning experience to students. The Hellenic Open University (HOU) is introducing LOs in the educational process, using teaching subject domain ontologies to describe them. Ontologies provide a simple way of identifying the knowledge domains covered by LOs, while facilitating its reusability. The preliminary step to create these domain ontologies is the design of the Concept Map (CM), that is a diagram for representing knowledge in a structured form. Concept Maps foster meaningful learning and serve both as a knowledge base for building domain ontologies and as a frame for composing more detailed LOs. Concept Map Mining (CMM), a process for automatic or semi-automatic creation of Concept Maps from documents, is used to facilitate the construction and sharing of Concept Maps. In this paper, we propose a methodological framework and a semi-automatic method for Concept Map creation from unstructured text, which can even handle the morphologically rich Greek language skillfully. The proposed approach combines language processing tools and the knowledge of domain experts. In addition, a case study based on a HOU teaching domain is presented, illustrating the process of Concept Map Mining and showing encouraging results.
PREDICTORS OF BRUCELLOSIS SEROPOSITIVITY AMONG EXPOSED WORKERS

Introduction: Brucellosis is a zoonotic infection which is responsible for substantial economic losses along with human morbidities. In Egypt, it is a definite cause of more than 3% of acute febrile illnesses. Brucellosis is principally affecting animals however it can be transmitted from animals to human. Many workers are at risk of infection with brucellosis as herders, hunters, agriculturalists, dairy workers, veterinarians, and slaughterhouse workers. Aim of work: to determine the prevalence of brucellosis seropositivity among occupationally exposed workers, to identify risk factors and to assess the predictors of seropositivity among the studied group. Material and Methods: Seventy five workers occupationally exposed to livestock animals were included and were subjected to an interview questionnaire about Brucellosis risk factors and blood samples were collected and analyzed by Rose Bengal plate test for B. Abortus and B. Melitensis. Results: Seropositivity for Brucella among studied workers was 43(57.3%). It was highest among high risk work activities including veterinarians 19 (44.2%) followed by animal service workers 10 (23.3%), butchers and veterinary assistants 6 (14% each) (p=0.626). The predictors of seropositivity for Brucellosis were dealing with unvaccinated animals (p=0.012) and high risk work activities (p=0.037). Conclusion: Dealing with unvaccinated animals and high risk work activities are the main predictors of seropositivity of Brucellosis among occupationally exposed group.
Classification of low-SNR side channels

We use machine learning to characterize the state of digital devices based on their analog emissions. As digital devices operate, they emit internal information into a number of analog side channels. Remote sensing of these unintended signals leads to low signal-to-noise-ratio (SNR) and significant clutter. We developed classifiers to determine which program is executing on a digital device based on analog radio-frequency (RF) emissions collected via a 500-MHz Riscure RF probe. A standard algorithm was developed to serve as a baseline program and intrusions were simulated by introducing minor modifications to this program. We collected a thousand RF traces from each of these modified programs running on ten different devices for thousands of instruction cycles. The ten devices tested are representative of the Internet of Things (IoT) devices including Arduino Unos and PIC24 processors. Our primary approach to mitigating the impact of low SNR is to extend the program execution and signal collection time. Collecting a training set with more traces than samples is not practical. Even after down-sampling the raw data to thirty samples per instruction, the number of samples exceeds the number of traces by orders of magnitude. Such a training set nearly guarantees overlearning. To mitigate this, we present our Whitened Mean Classifier as a method to whiten this sparse training set and avoid overlearning. Classification accuracy exceeded 90% for the modified programs on a subset of the ten devices.
Incorporating Customer Lifetime Value Into Marketing Simulation Games

Notwithstanding the emerging prominence of customer lifetime value (CLV) and customer equity (CE) in the marketing literature during the past decade, virtually nothing has been done to address these concepts in the literature on simulation and gaming. This article addresses the failing, discussing the nature of CLV and CE and demonstrating how they might be incorporated into marketing simulations.
TWO APPROACHES TO MULTIDISCIPLINARY OPTIMIZATION PROBLEMS

This paper discusses two approaches to solve multidisciplinary optimization problems regarding complex engineering systems. These approaches have been developed in order to reduce computing time expenditures required for solution of such problems. The first approach is based on utilization of parallel computations not only for object function computing, but also for an "internal" operation of the algorithm that is parallelized. This allows for a significantly higher acceleration of the problem solution process then a trivial usage of parallel CPUs for optimization criteria calculation. The results of numerical testing for the new algorithm are presented. The second approach consists of using multiple fidelity (multilevel) analysis algorithms. The results of a real-life stochastic multiobjective optimization problem solution are presented. The usage of multilevel approach for such optimization problems results in a significant reduction of computing time.
MPC based motion cueing algorithm : Development and application to the ULTIMATE driving simulator

Un simulateur de conduite a hautes performances a ete construit dans le cadre d'un projet Europeen (Eureka #1493) pilote par Renault, Centre Technique de Simulation. Le systeme de restitution d'accelerations de ce simulateur ULTIMATE a ete construit par Rexroth-Hydraudyne. Il s'agit d'une plate-forme de Gough-Stewart a 6 ddl dont la base peut se deplacer sur des rails XY. Dans ce papier, nous discuterons de la strategie de restitution d'acceleration retenue pour piloter ce simulateur a 8-d.d. 1. Cette strategie ou filtre de washout a pour objectif de restituer les accelerations du vehicule simule tout en maintenant le systeme a l'interieur de son espace de travail. Une nouvelle approche, basee sur le schema de la commande Model Predictive Control (MPC) est proposee. Elle peut prendre en compte explicitement un modele de dynamique de plate-forme (et notamment, les contraintes physiques telles que les limites de deplacement, vitesse et acceleration) et un modele de perception d'acceleration (et notamment les seuils d'acceleration et de vitesse). Les performances de cette strategie seront comparees a celles d'une strategie classique. Nous discuterons de plus dans quelles mesures cette strategie permet d'integrer un modele de comportement conducteur.
A Multi-Order Distributed HOSVD with Its Incremental Computing for Big Services in Cyber-Physical-Social Systems

Big service is an extremely important application of service computing to provide predictive and needed services to humans. To operationalize big services, the heterogeneous data collected from Cyber-Physical-Social Systems (CPSS) must be processed efficiently. However, because of the rapid rise in the volume of data, faster and more efficient computational techniques are required. Therefore, in this paper, we propose a multi-order distributed high-order singular value decomposition method (MDHOSVD) with its incremental computational algorithm. To realize the MDHOSVD, a tensor blocks unfolding integration regulation is proposed. This method allows for the efficient analysis of large-scale heterogeneous data in blocks in an incremental fashion. Using simulation and experimental results from real-life, the high-efficiency of the proposed data processing and computational method, is demonstrated. Further, a case study about cyber-physical-social system data processing is illustrated. The proposed MDHOSVD method speeds up data processing, scales with data volume, improves the adaptability and extensibility over data diversity and converts low-level data into actionable knowledge.
Applying Design Science in Public Policy and Administration Research

There is increasing debate about the role that public policy research can play in identifying solutions to complex policy challenges. Most studies focus on describing and explaining how governance systems operate. However, some scholars argue that because current institutions are often not up to the task, researchers need to rethink this ‘bystander’ approach and engage in experimentation and interventions that can help to change and improve governance systems. This paper contributes to this discourse by developing a design science framework that integrates retrospective research (scientific validation) and prospective research (creative design). It illustrates the merits and challenges of doing this through two case studies in the Netherlands and concludes that a design science framework provides a way of integrating traditional validation-oriented research with intervention-oriented design approaches. We argue that working at the interface between them will create new opportunities for these complementary modes of public policy research to achieve impact.
Blind deconvolution of signals using a complex recurrent network

An algorithm for the separation of mixtures of signals was derived by Jutten and Herault (1991) under the assumption that the signals are independent. This algorithm is based on higher order moments and has also been applied to deconvolving signal mixtures. In practical problems where the order of the convolving filter may be high, frequency domain approaches are known to provide a more computationally efficient method of deconvolution. In this paper, the authors introduce a complex recurrent network structure for performing blind deconvolution. The aim is to investigate the performance of this approach for separating unknown, convolved signals which may occur in a situation such as the well-known 'cocktail-party problem'. <<ETX>>
FP-tree based association rule mining using MXML

The FP-tree (Frequent Pattern tree) based association rule mining is currently one of the fastest approaches to frequent item set mining. In this paper we describe the FP-tree based association rule mining using MXML (Mining eXtensible Markup Language) script, which contains two variants of the core operation of computing a projection of an FP-tree (the fundamental data structure of the FP-growth algorithm). In addition, projected FP-trees are (optionally) pruned by removing items that have become infrequent due to the projection. Hence, finally we report these experimental results by comparing this implementation of the FP-growth algorithm with Apriori algorithm.
Parallel Covariance Intersection Fusion Optimal Kalman Filter

For multisensor network systems with unknown cross-covariances, a novel multi-level parallel covariance intersection (PCI) fusion Kalman filter is presented in this paper, which is realized by the multi-level parallel two-sensor covariance intersection (CI) fusers, so it only requires to solve the optimization problems of several one-dimensional nonlinear cost functions in parallel with loss computation burden. It can significantly reduce the computation time and increase data processing rate when the number of sensors is very large. It is proved that the PCI fuser is consistent, and its accuracy is higher than that of each local filter and is lower than that of the optimal Kalman fuser weighted by matrices. The geometric interpretation of accuracy relations based on the covariance ellipses is given. A simulation example for tracking systems verifies the accuracy relations.
Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit

Public urban transit offers a convenient, affordable, and sustainable mode of transportation for many. However, limited subsidies and revenue collected from bus fares place restrictions on the number of bus lines that can operate; these restrictions in turn limit the number of individuals who can benefit from public transit. To make well-informed operational decisions for transit planning and operations, understanding the origin and destination patterns of riders is crucial. However, traditional methods of transit data collection are labor-intensive and costly. Although some transit agencies use data from smart card transactions to obtain trip origin information readily, the trip destination information cannot be directly inferred. To aid in transit data acquisition efforts, this study presents a new technique that uses the Bluetooth and wireless fidelity (Wi-Fi) sensing technologies to estimate the origin and destination information for transit lines. Sensors were installed on four buses to collect Bluetooth, Wi-Fi, and GPS location data for a 4-week period. New methods for data processing and reduction were introduced to exclude invalid detections. On the basis of valid samples, the origin and destination information at different bus stops was estimated for a university operated transit line. The developed methods have the potential to be applied for large-scale transit networks.
The moderating role of cultural background in temporal framing: focusing on climate change awareness advertising

ABSTRACT Applying the framework of Construal Level Theory (CLT), this study tested the effects of an environmental ad describing the distant-future (i.e. end of the twenty-first century) vs. near-future (i.e. next summer) consequences of climate change using a sample of college students in the U.S. and South Korea. Consistent with the proposed empirical model in this study, lower perceived temporal distance of climate change generally led to higher perceived relevance of the event and more positive attitude and greater intention toward the sustainable consumption suggested in the ad (i.e. using Energy Star® qualified bulbs). However, the effects of temporal framing on the variables were moderated by the culture-specific ways in which the participants represented time and interpreted temporal information. In response to the distant-future frame, South Korean participants tended to report significantly shorter perceived temporal distance, thus presenting higher levels perceived relevance, stronger pro-environmental attitudes, and stronger behavioral intention than their U.S. counterparts. Overall, the findings of this study have meaningful implications for the external validity of CLT and for the development of effective climate change awareness campaigns targeting different audiences around the world.
SOME COMMENTS ON THE PYRAMIDAL TRACT, WITH SPECIAL REFERENCE TO ITS INDIVIDUAL VARIATIONS IN MAN

It has for a long time been generally accepted that a lesion of the pyramidal tract usually results in a spastic hemiplegia, characterized by impairment of skilled voluntary movements, increased myotatic (deep or tendon) rcflcxes, and weakened or abolished cutaneous reflexes with an extensor plantar response. However, after sectioning the middle third of the ccrebral peduncle in man containing the pyramidal tract fibres scvcral authors have reported that there is no, or only a slight and transient, spasticity and that the capacity to perform skilled voluntary moverncnts is only nioderately impaired ( WaIker 1849, W h i f e 1050, Bzicy 1857, Bucy & Keplinger 1961). These observations lctl Rucy to ask “Is there a pyramidal tract? ”, and to suggest that cortical impulscs responsible for the production of skilled voluntary movements might take an “extrapyramidal” routc. Although symptomatological variations which may be seen following lesions supposed to involve the pyramidal tract infantile hemiplegia included may be due to concomitant damage to “extrapyramidal” structures, a problem to which we will briefly return in the final section of this paper, the question has often been raised whether such variations are due to a greater or lesser extent to individual morphological variations of the pyramidal tract. The chief purpose of the present paper is to review what is known of individual variations of this fibre system in man with regard to the following items : decussation of fibres, aberrant fibres, number and size of fibres and myelination of fibres. For a proper discussion of this, certain relevant data on the anatomy of the pyramidal tract have to be considered as well. Only few systematical studies on the individual variations of this fibre system in man have, however, been made. The data on which this review is based are, therefore, largely collcctcd from clinical case reports in the literature. Where it is relevant, data from other species will be considered.
A Dictionary of Inequalities

Introduction Notations Abel-Arithmetic Backward-Bushell Cakalov-Cyclic Davies-Dunkl Efron-Extended Factorial-Furuta Gabriel-Guha Haber-Hyperbolic Incomplete-Iyengar Jackson-Jordan Kaczmarz-Ky Fan Labelle-Lyons Mahajan-Myers Nanjundiah-Number Operator-Ozeki Pachpatte-Ptolemy Q-Class-Quaternion Rademacher-Rotation Saffari-Szekely Talenti-Turan Ultraspherical-von Neumann Wagner-Wright Yao-Zeta Bibliography Name Index Index