Miracle-dz/UniFAR-FTUs huggingface dataset:
A protocol for conducting and presenting results of regression‐type analyses

Scientific investigation is of value only insofar as relevant results are obtained and communicated, a task that requires organizing, evaluating, analysing and unambiguously communicating the significance of data. In this context, working with ecological data, reflecting the complexities and interactions of the natural world, can be a challenge. Recent innovations for statistical analysis of multifaceted interrelated data make obtaining more accurate and meaningful results possible, but key decisions of the analyses to use, and which components to present in a scientific paper or report, may be overwhelming. We offer a 10‐step protocol to streamline analysis of data that will enhance understanding of the data, the statistical models and the results, and optimize communication with the reader with respect to both the procedure and the outcomes. The protocol takes the investigator from study design and organization of data (formulating relevant questions, visualizing data collection, data exploration, identifying dependency), through conducting analysis (presenting, fitting and validating the model) and presenting output (numerically and visually), to extending the model via simulation. Each step includes procedures to clarify aspects of the data that affect statistical analysis, as well as guidelines for written presentation. Steps are illustrated with examples using data from the literature. Following this protocol will reduce the organization, analysis and presentation of what may be an overwhelming information avalanche into sequential and, more to the point, manageable, steps. It provides guidelines for selecting optimal statistical tools to assess data relevance and significance, for choosing aspects of the analysis to include in a published report and for clearly communicating information.
Analog synchronous receiver for short-range ultra-wideband wireless communications

The need for higher speed data transfer has been continuously driven by Moore’s law in the last decades. As the data storage capabilities of user-end devices improved, it became necessary to transfer the large amount of stored data from one device to another with minimum delay, necessitating very high communication speeds. Until today, such high speed data communication is still based on wired connections, such as a universal serial bus (USB) interface, while the available communication speed of wireless systems has lagged far behind that of wired solutions. A potential to circumvent this problem is to utilize the millimeter wave frequency bands, which would allow wireless communication speeds to be competitive to wired ones. Although there has been a lot of research in this field for more than a decade, there has been no breakthrough, and we are still “plugging-in” our devices to transfer the gigabytes of information. In this thesis, a receiver analog frontend architecture is proposed which could provide a very low-cost solution for the implementation of ultra-wideband wireless communication networks. The proposed receiver performs the synchronization of the received signal in the analog domain, which relaxes the requirements from the digital baseband, substantially reducing the cost and complexity of the overall wireless receiver. In the thesis, design, implementation and experimental characterization of the proposed analog demodulation concept is provided. Finally, the results on a complete wireless system demonstrator with an excellent performance is presented, which includes a highly simplified digital baseband, made possible by the signal processing within the analog frontend.
Designing intelligent language tutoring systems for integration into foreign language instruction

Intelligent Computer-Assisted Language Learning (ICALL) is a multidisciplinary area of research that combines Natural Language Processing (NLP), Intelligent Tutoring System development, Second Language Acquisition (SLA) and Foreign Language Teaching and Learning. So far, most of the work done in ICALL has primarily focused on the development of NLP technology for error diagnosis, and very few systems have been fully implemented to the point where they could be used in an existing foreign language program. The work presented here proposes to develop an ICALL system focusing primarily on the needs of foreign language students and instructors. The research project started with a survey with foreign language instructors on how ICALL could support their everyday practice. The survey was followed by an analysis of the capabilities of NLP technology, and a study on how some of the NLP tools could be used to produce a system that presented activities which could be incorporated into actual language programs. The final step was to develop a system that provides intelligent feedback following the pedagogical principles outlined. The specific context of the study was the Portuguese Individualized Instruction Program (IIP) at the Ohio State University. The main research contribution of the project is to show one way NLP technology can be used to cope with the real needs of language learners following precise pedagogical specifications. The concrete contribution of this research is an intelligent electronic workbook that is currently being used by IIP students. The overall contribution of the project is to take a concrete step in the direction of bridging the gap between the development of NLP technology for ICALL and the actual use of such technology in real life foreign language programs.
Performance analysis of secondary networks with multiple primary users for spectrum database system

: This paper presents the performance evaluation for secondary networks with multiple primary users (PU) with a stochastic geometry approach. On the assumption that the secondary users (SUs) follow a Poisson hole process, we derive a PU ’ s outage probability (OP) and SU ’ s area spectral e ﬃ ciency (ASE), where the PU ’ s OP and SU ’ s ASE are de ﬁ ned as the probability that the aggregate interference at a PU from transmitting SUs exceeds a threshold and the product of the transmitting SU ’ s density and the SU ’ s average throughput, respectively. The theoretical results agree with the simulation results, and these results show that both the PU ’ s OP and SU ’ s ASE decrease along with the primary exclusive region (PER) size, i.e., we quantitatively evaluate the trade-o ﬀ between the PU ’ s OP and SU ’ s ASE.
Field Methods Casebook For Software Design

Thank you very much for downloading field methods casebook for software design. As you may know, people have search numerous times for their chosen readings like this field methods casebook for software design, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some infectious bugs inside their desktop computer. field methods casebook for software design is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the field methods casebook for software design is universally compatible with any devices to read.
Cloud Computing Resource Dynamic Optimization Considering Load Energy Balancing Consumption

The difficulties of the existing of load balancing and optimal span are under the cloud environment; for this reason, intelligent optimizing strategy of virtual resources scheduling is designed in this paper; which fully takes into account advantages of cloud virtual resource, improves the selection and cross processing in GA, takes the optimal span and load function as the double fitness function to make the efficiency of resources improved obviously. the resource can be obtained by this scheme from cluster of cloud service to fully ensure it in load balancing condition. At the same time, CloudSim is used to make simulate test in this paper; test research indicates that scheduling efficiency can be promoted and the load balancing can be improved obviously by this method at the same time under the conditions of large-scale tasks, which indicates that this method has great effectiveness.
From brows to trust: evaluating embodied conversational agents

Embodied conversational agents (ECAs) are autonomous software entities with human-like appearance and communication skills. These agents can take on a number of different roles, for example, as an assistant, tutor, information provider, or customer service agent. They may also simply represent or entertain a user. The precise nature and benefits of different characteristics of ECAs requires careful investigation. Questions range from the function of an eyebrow raise to mechanisms for assessing and improving ECA trustworthiness. This book will help experts and designers in the specification and development of applications incorporating ECAs. Part 1 provides guidelines for evaluation methodologies and the identification of design and evaluation parameters. Part 2 demonstrates the importance of considering the user's perspective and interaction experience. Part 3 addresses issues in fine-tuning design parameters of ECAs and verifying the perceived effect. Finally, in Part 4 lessons learned from a number of application case studies are presented. The book is intended for both ECA researchers in academia and industry, and developers and designers interested in applying the technology.
Influence of Lightness Contrast on KANSEI Evaluation of Photographic Images

The purpose of this study is to clarify the effects of the lightness of main objects (Lt), background (Lb), and the lightness contrasts (|Lt-Lb|/Lav), upon observers’ KANSEI impression, and further to investigate their relation to the screen size. In this experiment, 17 pictures with different lightness contrasts were taken by the digital camera. 68 test images are prepared by converting each of the original pictures to four different sizes. A test image was presented on a display to the observer, and he/she was instructed to evaluate the impression of the image using an index with seven ranks ranging from 0 to 6 for 22 assessment words. Results showed that subjective rating value for psychophysical properties of image increases monotonously with the increase or decrease of the lightness contrast, respectively. On the other hand, the rating value for KANSEI impression of image showed a peak at moderate contrast. Effect of image size was significant for the larger the image size. Results of multiple classification analysis on all subjective rating values indicated that “KANSEI factor” is strongly related to the lightness of main object and the image size.
Implementation of a testbed and a simulation system for MANETs : experiments and simulations

A Mobile Ad hoc Network (MANET) can be defined as a collection of mobile nodes, which form a highly resource constrained network and a dynamic topology. Because of the dynamic topology, routing procedures and protocols are a key field of testing and research. In a research environment, research tools are required to test, verify and identify problems of an algorithm or protocol. These tools are classified in three major techniques: simulators, emulators and real-world testbeds. In most of research in MANET, their performance is evaluated in both quantitative and qualitative aspects. Throughput performance, routing efficiency, security and energy consumption are some of the key issues that are addressed frequently on MANETs. The future MANET technology will have to ensure a certain degree of security and scalability and provide the infrastructure for collaborative computing. In this thesis, we design and implement a testbed and a simulation system in order to analyze the performance and compare the results of different routing protocols, mobility models and other environmental parameters. In both approaches we use different models, scenarios and traffic data models. We use our simulation results to improve the experimental environment. We experimented in indoor and outdoor environment, in horizontal and vertical topologies and in linear and mesh logical topologies. We also added mobility to specific nodes. From results, we found that the mobility of nodes brings oscillations in performance and route instabilities. Using our simulation tool, we simulated different mobility patterns in different protocols. We found multi-flow traffic decreases the performance of the network. We also proposed a data replication framework based on fuzzy logic to improve QoS in MANET. From simulation results, we found that the proposed framework had a good performance. The contributions of our work are: 1. Implementation and evaluation of a MANET testbed;
Research and Review: Nanotechnology in textiles

Nanotechnology, as per the National Nanotechnology Initiative (NNI), is characterized as use of structures with no less than one measurement of nanometre size for the development of materials, gadgets or frameworks with novel or essentially enhanced properties due to their nano-size. Applications incorporate strong state, bio-, substance and estimation advancements that focalize "top-down" and "base up" to the nanoscale. The idea of nanotechnology is however not new, having been received by Taniguchi in 1974 when he characterized the basic measurements and resiliences in innovation. Consequently nanotechnology is a piece of the advancement of machining precision, without any distinctions from conventional fields of science or designing aside from in size. Today nanotechnology comprises of four noteworthy fields: nanoelectronics, nanomaterials, atomic nanotechnology and nanoscale-determination microscopy Enhancement of material materials by nanotechnology applications is ready to wind up a trillion dollar industry in the following decade, with enormous mechanical, financial and ecologic potential. The utilization of nanomaterials to upgrade the useful execution of defensive facemasks is depicted.
Transforming Mathematics Teacher Knowledge in the Digital Age Through Iterative Design of Course-Based Projects

This research in this chapter highlights a self-study of three university faculty members who were aimed at improving the design of an Elementary Mathematics Technology Integration Course (EMTIC). The self-study used the faculty unique research lenses and expertise in mathematics education and educational technology to redesign the performance based assignments to better prepare the teacher candidates to integrate technology into their mathematics teaching. This collaboration required faculty members to: 1) Reflect on their beliefs about technology integration; 2) Evaluate their current teaching practices; and 3) Adapt the design of their course assignments to better meet the skills required of teachers and students in the 21st century.
Statistical models of random polyhedra

The paper discusses problems which appear in statistics of random polyhedra. Several parametric models of random polyhedra are considered. Particular attention is paid to the model of convex-stable compact random sets, which appear as weak limits of normalized convex hulls of systems of random points. It depends on two parameters only, but nevertheless provides sufficient flexibility of shape, and allows computations of several motion-invariant characteristics. The application of the model is demonstrated for real samples of particles.
Implementation of Converting Text File to Data Access Table by Using Multi-Keys

The aim of this paper converts encrypted text file to access data table. The system infers the number of fields from the number of semicolon in any line of text file. The program will create the database and its table by Data Access Object (DAO), the key of Decryption will be extracted from the first word in each line. The Caesar method is used to produce plain text to data table.
The Advanced Theory Of Statistics Vol 3 Design And Analysis And Time Series

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My Teaching Forest: Design of a Game-based Teacher Management System

Researchers have started to apply games to education recently. Teachers can use computers to understand and manage students' learning statuses. However, games are seldom designed and used for teachers, who play important roles in the learning process. This study therefore applies the concept of a management game for teachers using students' learning portfolios. Furthermore, this study creates an environment that teachers play the role of gardeners and who grow and take care of trees which represent students. Many of teachers have never shared game experiences to students which may cause the gap between students and teachers. This study aims to clear up the gap between students and teachers through game-based teacher management system, and also to create a game interface for teachers to visualize students' learning profiles and interact with students.
Digital libraries and information access: introduction

Introduction Systematic research and development activities in digital libraries began just over 20 years ago, and during this short period of time the field of digital libraries has progressed significantly. Over the past two decades a large number of digital libraries have appeared in different countries that cover different subjects, and disciplines from health to science, engineering to arts and culture, and others. Likewise, digital libraries have been designed, developed and used by a wide range of user communities that include school children, academics, scholars, scientists and the general public. Different types of content have been created and stored in these digital library repositories, ranging from basic digital objects like photographs, music and film to more research-oriented scholarly, scientific and research data. Alongside this, a significant amount of resources and efforts have been invested in research into digital libraries that have given rise to over 8000 journal and conference papers and a large number of books, theses, research reports and other kinds of scholarly publications. Experts from a number of disciplines, like library and information science, computer science, engineering, psychology, business management, law, economics and others, have joined hands to address and resolve a variety of research issues and challenges associated with digital libraries. The field of digital libraries has evolved significantly over the past two decades, both in terms of the nature and characteristics of research and in terms of the objectives and functionalities of digital libraries. While the first phase of digital library research in the early 1990s put the focus on building technologies for management of large volumes of digital information for remote access, this focus subsequently shifted to users, usability and impact studies, open access and so on. Subsequently, with the rapid progress in web and social networking technologies, the focus of digital library research has been extended to new and upcoming challenges such as semantic access, social information retrieval and social network analysis (see for details, Theng et al.
Using prior knowledge and learning from experience in estimation of distribution algorithms

Estimation of distribution algorithms (EDAs) are stochastic optimization techniques that explore the space of potential solutions by building and sampling explicit probabilistic models of promising candidate solutions. One of the primary advantages of EDAs over many other stochastic optimization techniques is that after each run they leave behind a sequence of probabilistic models describing useful decompositions of the problem. This sequence of models can be seen as a roadmap of how the EDA solves the problem. While this roadmap holds a great deal of information about the problem, until recently this information has largely been ignored. My thesis is that it is possible to exploit this information to speed up problem solving in EDAs in a principled way. The main contribution of this dissertation will be to show that there are multiple ways to exploit this problem-specific knowledge. Most importantly, it can be done in a principled way such that these methods lead to substantial speedups without requiring parameter tuning or hand-inspection of models.
Stuttering An Integrated Approach To Its Nature And Treatment

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Building a hybrid trust model for P2P systems

In order to resolve the problems of P2P network, such as security, bad management and complex computation of trust worthiness in current trust model, a hybrid trust model in P2P system was proposed. This model adopted the hybrid P2P network structure, and time section mechanism for computation trust level, which could efficiently prevent malicious actions amongst peers, such as "exaggeration" and "slander", etc. In addition, the building method and the way of evaluation feedback of the model were proposed. The simulation proves that this model has little computation workload, and can isolate and identify the malicious peers efficiently, with high performance of security.