Miracle-dz/UniFAR-FTUs huggingface dataset:
LoCoBoard: Low-Cost Interactive Whiteboard Using Computer Vision Algorithms

In the current digital age, the adoption of natural interfaces between humans and machines is increasingly important. This trend is particularly significant in the education sector where interactive tools and applications can ease the presentation and comprehension of complex concepts, stimulate collaborative work, and improve teaching practices. An important step towards this vision, interactive whiteboards are gaining widespread adoption in various levels of education. Nevertheless, these solutions are usually expensive, making their acceptance slow, especially in countries with more fragile economies. In this context, we present the low-cost interactive whiteboard (LoCoBoard) project, an open-source interactive whiteboard with low-cost hardware requirements, usually accessible in our daily lives, for an easy installation: a webcam-equipped computer, a video projector, and an infrared pointing device. The detection software framework offers five different Pointer Location algorithms with support for the Tangible User Interface Object protocol and also adapts to support multiple operating systems. We discuss the detailed physical and logical structure of LoCoBoard and compare its performance with that of similar systems. We believe that the proposed solution may represent a valuable contribution to ease the access to interactive whiteboards and increase widespread use with obvious benefits.
Network Protection Against DDoS Attacks

The paper deals with possibilities of the network protection against Distributed Denial of Service attacks (DDoS). The basic types of DDoS attacks and their impact on the protected network are presented here. Furthermore, we present basic detection and defense techniques thanks to which it is possible to increase resistance of the protected network or device against DDoS attacks. Moreover, we tested the ability of current commercial Intrusion Prevention Systems (IPS), especially Radware DefensePro 6.10. 00 product against the most common types of DDoS attacks. We create five scenarios that are varied in type and strength of the DDoS attacks. The attacks intensity was much greater than the normal intensity of the current DDoS attacks.
A fast convergence algorithm for adaptive FIR filters

The authors present a fast convergence algorithm for adaptive FIR (finite impulse response) filters. The algorithm controls the step size on the basis of the moving average of the misadjustment level for a faster convergence. Several operations in addition to the LMS operations are used to estimate the misadjustment and average it to provide a stable step size. The algorithm is applied to adaptive noise cancellation to observe the performance. Computer simulation results for noise cancellation show that the convergence characteristics of the algorithm are improved by as much as 90% over those of the lease-mean-squares (LMS) algorithm and even those of the VS (variable step) algorithm for a multitone signal. For a real speech signal, improvement of the proposed algorithm is degraded, but still more than 50% of the LMS convergence time is saved in the simulated case. <<ETX>>
Second-order consensus of multi-agent systems with noise

This study studies second-order consensus of multi-agent systems with noise in a leaderless architecture. Two distributed consensus algorithms are designed and sufficient conditions are established, which character how much the noise intensity or the delay multi-agent systems can stand such that second-order consensus can be reached almost surely for a given coupling strength and topology structure. Simulations are given to illustrate the effectiveness of the proposed consensus algorithms.
A cellular nonlinear network for digital error correction

A new concept for correcting errors in digital code is presented. For this purpose a programmable cellular nonlinear network can be used. To achieve high operation speed the high gain output nonlinearity is used. Positive range nonlinearity is combined to the high gain in order to achieve robust operation. The programmability of the network is reduced to only those coefficients actually needed in the processing to further increase the processing speed. An example of this coding scheme is given where the "bubbles" present at the thermometer code generated by a fast flash AID-converter are removed. For this correction operation simulations are given.
Refinement and dependable systems

Dependable systems must often detect, recover from, and tolerate faults. A common problem in the behavioural specification of such systems is that one cannot specify a response to faults without also specifying that faults must be able to occur, even though non-faulty systems are acceptable. Our solution is to adopt modal process logic, which allows one to distinguish between events of a specification that must be implemented and those that may be implemented. We describe the problem and illustrate the application of modal process logic to the verification of an industrial failure-recovery protocol.
Design of position controller of linear pulse motor using neural network

In this paper, we introduced the neural network of feedback error learning type to improve position accuracy of a linear pulse motor. A linear pulse motor is direct drive motor that has good performance in terms of accuracy, velocity and acceleration compared with the conventional linear motion system consisting of rotary motor, gear and screw spindles. In general, conventional position controllers of linear pulse motor disregard the modelling error and load variations, which cause inaccuracy in position control. In order to compensate for these factors, we introduced a neural network based on learning feedforward component, which is used to the conventional feedback controller consequently. The simulation results show that the proposed controller works efficiently for accurate position control of a linear pulse motor.
On the need for a multidisciplinary approach to education for knowledge management

This paper reports the findings of a study of knowledge management courses included in the curriculum of academic disciplines of business, computing, and information. Based on a review of course descriptions selected from Web sites of universities in different countries, the paper describes levels of courses, curriculum areas and topics, and differences in emphasis in teaching knowledge management courses in different departments and schools. It highlights the multidisciplinary nature of the curriculum and suggests a collaborative approach in designing and conducting KM education programs for providing a balanced coverage.
A Private Cloud Document Management System with Document Clustering Algorithm

Recently, more and more enterprises use virtualization technology and cloud computing technology to improve the level of information management. Private cloud document management system from the lab to practical application. We launched a private cloud file management system is characterized by the automatic cluster of files, so as to achieve the automated management of the text block. Document clustering has been extensively studied, because it is an effective solution, the organization of a large number of files. In order to overcome the main challenges that the current document clustering a huge number of documents, high dimensional process and comprehensible cluster, we propose a hybrid algorithm based on the top-k frequent itemsets and K-Means. The experimental results show the efficiency and effectiveness of the algorithm is superior to the other two representative clustering algorithm on two public data sets. Our algorithm can be further improved in the future parallel implementation, based on semantic representation and similarity measurement. Keywordsprivate cloud; document management; document clustering; frequent term sets
A 1-V transformer-feedback low-noise amplifier for 5-GHz wireless LAN in 0.18-μm CMOS

A low-noise amplifier (LNA) uses low-loss monolithic transformer feedback to neutralize the gate-drain overlap capacitance of a field-effect transistor (FET). A differential implementation in 0.18-/spl mu/m CMOS technology, designed for 5-GHz wireless local-area networks (LANs), achieves a measured power gain of 14.2 dB, noise figure (NF, 50 /spl Omega/) of 0.9 dB, and third-order input intercept point (IIP3) of +0.9 dBm at 5.75 GHz, while consuming 16 mW from a 1-V supply. The feedback design is benchmarked to a 5.75-GHz cascode LNA fabricated in the same technology that realizes 14.1-dB gain, 1.8-dB NF, and IIP3 of +4.2 dBm, while dissipating 21.6 mW at 1.8 V.
Synthesis of a self-equalized dual-passband filter

This letter describes synthesis method for a self-equalized dual-passband filter. Compared to a conventional dual-passband filter, the self-equalized dual-passband filter can reduce bit-error rate (BER) in digital data communications and does not need an external equalizer for group delay equalization. To validate the synthesis method described in this letter, a 10-pole dual-passband filter which has two self-equalized five-pole elliptic-response passbands is synthesized.
Case-Fatality and Disability of Patients with Stroke in Iran

Background: Few studies have been conducted to assess case-fatality and disability of Iranian patients with stroke. This study was designed to collect morbidity and case-fatality data of hospitalized patients with stroke, in Isfahan, a large city in the central part of Iran. Methods: From 2006 to 2011, by utilization of overlapping sources (discharge diagnoses, attending physicians, and hospitalization wards), all hospitalized patients with possible strokes were enrolled in the study, and their hospital records were summarized by experienced personnel and reviewed by a neurologist with experience in stroke. Patients with stroke were followed by phone calls or visited their residential addresses and their 28th day functional status was checked by translated version of Modified Rankin Scale. Forms and methods were derived from the World Health Organization MONICA and STEPS projects. Results: 9487 patients with stroke were identified, mean age 68.98±13.63 years, and 48.3% were females. The in-hospital case-fatality rate was at 16.5% and 28th-day case-fatality rate was at 25.6%. The greatest case-fatality was among patients with intracerebral hemorrhage, and the least case-fatality was among patients with ischemic stroke. Case-fatality was greater among female and older patients, and those with a previous history of stroke. Among survivors, only 26.9% were functionally independent (Modified Rankin Scale<3) which was greatest among patients with subarachnoid hemorrhage and least among patients with intracerebral hemorrhage. None of the patients were admitted to specific stroke units, nor did they receive thrombolytic therapy.
Blind Image Deconvolution

Follow up what we will offer in this article about blind image deconvolution. You know really that this book is coming as the best seller book today. So, when you are really a good reader or you're fans of the author, it does will be funny if you don't have this book. It means that you have to get this book. For you who are starting to learn about something new and feel curious about this book, it's easy then. Just get this book and feel how this book will give you more exciting lessons.
Networked Optimal Control with Random Medium Access Protocol and Packet Dropouts

This paper is concerned with an optimal control framework for networked control systems in which the channel access of actuators is governed by a group random access protocol. The system is modeled as a switching Markov jump system with multiple modes according to channel-access status of the actuators, and an independent identical distribution Bernoulli process is used to describe the random packet dropouts of the channel. Then, an optimal control design methodology is addressed to satisfy the quadratic cost function by applying the well-developed theory for jump linear systems and stochastic optimal control while guaranteeing the mean-square exponential stability of networked control systems. And, finally, a numerical example is exploited to demonstrate the effectiveness of the proposed method.
Energy-Efficient CPU Utilization Based Virtual Machine Scheduling in Green Clouds

Cloud Computing is based on virtualization; it provide users pay-per-use computing resources by internet without managing infrastructure. With the increase demand of Cloud more and more attention is given to energy consumption and power saving of Cloud data centres. Energy savings can be achieved by continuous consolidation of VM's according to current utilization and thermal state of computing nodes. Consolidation is the first step towards Green Computing. There is a relation between resource management and consolidation. Migration of virtual machines in Cloud Computing also provides us an opportunity for energy savings. We can say that migration is done on basis of workload management so that it will not exceed the power consumption or temperature of host beyond a certain limit. In migration a key challenge is to find the source and target machine. There are different reasons of migration, the main is idle power wastage and it is major cause of energy inefficiency.
Principles of ICT in Education and Implementation Strategies in Singapore, the Province of Alberta in Canada, the United Kingdom, and the Republic of Korea

This article is intended to examine the issues surrounding the use of information and communication technology (ICT) in education, primarily in primary education. The theoretical basis for the use of ICT as an integrated educational technology across the curriculum, and specific cases, where these theories have been implemented by education policy-makers, and, in turn, at the classroom level by individual teachers, were examined. Specifically, we examined educational technology applications using ICT and the Internet that are available to supplement teaching resources and are provided either directly by educational authorities or originate from other sources. The specific cases described here are from Singapore, the Province of Alberta in Canada, the United Kingdom, and the Republic of Korea. This article will argue that ICT should be used as an educational technology that is included across subject areas as a means for students to both increase their ICT proficiency and to accomplish subject-based learning goals.
A second pass gated reconstruction scheme with conjugate weights

Rotational X-ray data acquisition in combination with gated reconstruction is applied most commonly to reconstruct 3D or 4D images of the heart on interventional X-ray systems. The data are acquired during breath hold and with intravenous contrast agent injection. Unfortunately, when using a single circular arc acquisition with parallel ECG recording, the gating of the projections leads to under-sampling artifacts in the reconstruction volume. In this contribution an artifact reduction method is suggested which is based on an initial gated reconstruction of a cardiac volume at limited quality, the subsequent segmentation of the volume and a second pass correction to enhance the signal-to-noise ratio in the reconstruction volume and to reduce the artifacts due to gating. The method is applied to both phantom and animal data.
Introduction to the special issue on Bayesian journey‐to‐crime modelling

In this special issue of the Journal of Investigative Psychology and Offender Profiling, we explore a Bayesian approach to journey-to-crime (JTC) estimation with an emphasis on the statistical models used. The approach conceptualises the probability that an offender lives at one location as the product of the probability distribution from a JTC estimate along with the probability distribution of other offenders who committed crimes in the same locations. The Bayesian approach is appropriate as the second part is conditional on the first part. The introduction gives the background behind the methodology and suggests how future improvements can be made by integrating new information. Finally, the papers in the special issue are introduced. Copyright © 2009 John Wiley & Sons, Ltd.
Interactive High-Dimensional Data Visualization

Abstract We propose a rudimentary taxonomy of interactive data visualization based on a triad of data analytic tasks: finding Gestalt, posing queries, and making comparisons. These tasks are supported by three classes of interactive view manipulations: focusing, linking, and arranging views. This discussion extends earlier work on the principles of focusing and linking and sets them on a firmer base. Next, we give a high-level introduction to a particular system for multivariate data visualization—XGobi. This introduction is not comprehensive but emphasizes XGobi tools that are examples of focusing, linking, and arranging views; namely, high-dimensional projections, linked scatterplot brushing, and matrices of conditional plots. Finally, in a series of case studies in data visualization, we show the powers and limitations of particular focusing, linking, and arranging tools. The discussion is dominated by high-dimensional projections that form an extremely well-developed part of XGobi. Of particular inter.
A Passport to Password Best Practices

The relentless growth of password-protected Web site accounts and their varying protocols have resulted in significant complexity for both the users and the computer systems that must accommodate passwords. The goal of this study was to investigate the current design features and practices of various highly ranked Web sites and to provide design strategies and recommendations to enhance user experiences in password practices.
Homocystiene Profile in Elderly

Background: Homocysteine (Hcy) is a sulfurated amino acid an elevated homocysteine level is a marker for a pathogenic process as well as a cause of pathology. Method: it is across sectional study conducted on 91 elderly participants 60 years and older selected from geriatric outpatient clinic and geriatric inpatient departmentthey underwent comprehensive geriatric assessment, and homocysteine (Hcy) level in blood by Enzyme Immunoassay (EIA). Results: homocysteine not significantly related to age, sex and functional status. Also mean Hcy level is 15.4 μmol/liter. Conclusion: further studies to evaluate Hcy level in elderly with different ages are recommended.
An overview of smart antenna technology and its application to wireless communication systems

Space is one of the "final frontiers" of next generation wireless communication systems. Large-scale penetration of such such systems into our daily lives will require significant reductions in cost and increases in capacity, benefits proper exploitation of the spatial dimension can offer. That this is certainly the case is attested to by the significant number of companies that have been formed to bring products based on such concepts to the wireless marketplace. The approaches range from "switched-beam" to "fully-adaptive" with the benefits provided by the various approaches differing accordingly. At the fully-adaptive end of the spectrum is spatial division multiple access (SDMA) technology which employs antenna arrays and multi-dimensional nonlinear signal processing techniques to provide significant increases in capacity and quality of many wireless communication systems. SDMA technology is especially well-suited to the deployment of the current and next generation cellular systems, termed the personal communications service (PCS) and the wireless local loop (WLL).
Application Trends of Sensorless AC Motor Drives in Europe

This paper describes application trends of sensorless AC motor drives in Europe, where strict standards on energy saving are in effect. To meet their standards, each producer of AC motor drives in Europe has own strategy with specific machine design and control techniques. Generally, variable torque applications such as fans, pumps and compressors account for approximately 70% of the European market. These applications employ position and speed sensorless drives because of the advantages of reduced cost and volume, and increased reliability due to the elimination of the position sensor and related cabling connections. In this paper, first the market trends of AC motor drives in Europe are described. Second, the market penetration of sensorless AC motor drives is briefly discussed. Finally, some real-life applications are introduced.
Academic Influence Evaluation Model for Research Institutes Based on Science Network Method: A Case Study

Academic influence evaluation is an important task in the research institution's evaluation, ranking and resources allocation. A science network method based academic influence evaluation model is proposed in this paper, which focus on building up a comprehensive model with consideration of the papers, projects, patents, academic services and other issues that may contributed to the influence. In order to verify the effectiveness of the model and the evaluation method, a four-collage case study is employed for demonstration. Numerical study shows that, the model and method proposed in this paper obtains quite similar result with the ranking of the colleges in their evaluation by the university, which helps to illustrate the effectiveness of the method. Based on the above calculation and research, this paper introduced three logical conclusions. School academic circles gradually expanded, each college academic influence has an increasing trend; Correlation coefficient between College of total influence and faculties published papers is maximum. Inter-faculty cooperation, the greater the influence of college.
Music Recommendation with Collaborative Filtering for Mobile Services

As the development of the mobile communication and the computational capability of the mobile terminals, more users use their mobile devices to play music. In this work, an online music recommendation system is designed for mobile services, which consists of two modules: offline processing and online recommendation. The offline module labels all the music into different categories, by which the music items libraries corresponding to the tags are constructed and the rating matrixs are consequently built. The online module integrates the context information, by which the matched rating matrix is retrieved. By using the collaborative filtering model with matrix completion algorithm, the music recommendations that suit the user and the situation are offered. The proposed recommendation system improves the precision of the recommendation by integration the context information of the users, and augments the online computational capability because the matrix scale is reduced by constructing the rating matrices for the music in the different tag libraries. A large number of experiments demonstrate that the proposed system is designed to be robust and effective to the music recommendation and efficient to the online recommendation for the mobile services.