Miracle-dz/UniFAR-FTUs huggingface dataset:
Networks and Control

The title of this special section updates a common juxtaposition in control circles. The scale of applications of interest is no longer captured simply by “systems and control”; it is increasingly the networked nature of systems that is drawing attention. This special section presents five articles that can be classified into two distinct areas of “networks and control. ” The first area considers the control of communication networks, which falls into the broader field of information technology. We include two articles in this area, focusing respectively on new research topics in wireless networks and congestion control for asynchronous transfer mode (ATM) networks. The last three articles are in the area of networked control systems, where one or more control loops are closed via a serial communication channel. These articles cover stability issues, application issues, and several standard bus protocols. All five articles discuss various new research areas for control engineers. Applications of this research include control and communications of active, intelligent, dynamic networks; distributed sensor systems; secure, reliable wireless communication; and control of multivehicle formations. Clearly, the area of communication networks is wide open to control researchers seeking interesting problems. This is a “hot” area,andweshouldnotmiss theopportunity toexpandourhorizons and further our impact. Industry as well as academia is hiring communication network engineers as never before. The first article in this special section is authored by Kumar and is titled “New Technological Vistas for Systems and Control: The Example of Wireless Networks. ” The article discusses new opportunities for systems and control researchers in wireless networks—with the cost of wireless connectivity becoming competitive with wireline, such opportunities are rapidly arising. The specific wireless networks discussed are known as packet radio networks, or multihop mobile radio networks, or just ad hoc networks. An example is a “smart house,” where the appliances, lights, and HVAC system communicate and coordinate schedules. The basic idea of such a network is to transfer packets from their sources to their destinations reliably and efficiently. This includes choice of broadcast power levels and timing of transmissions. This article considers several important issues in wireless network design and implementation, including quality of service and the power control, medium access control, routing, and transport capacity problems. Several protocols and algorithms are suggested for solving these problems and for illustrating the ideas presented in the article. The article on available bit rate congestion control in ATM networks, by Imer, Compans, Basar, and Srikant, starts with a brief introduction to ATM networks, the available bit rate (ABR) service, and mechanisms for controlling source rates, which can be through binary or explicit feedback. ATM is the underlying technology that will make broadband integrated
New constraints on supersymmetric models from b ---> s gamma

We provide an analysis of the parameter space of several supersymmetry breaking scenarios such as the minimal supergravity (mSUGRA) model and the non universal Higgs mass (NUHM) framework, as well as the Anomaly Mediated Supersymmetry Breaking (AMSB) and the Gauge Mediated Supersymmetry Breaking (GMSB) models, in the light of a novel observable in b → sγ transitions, i.e. the isospin symmetry breaking in the exclusive B → K*γ decays. We find that in many cases, this observable provides severe restrictions on the allowed parameter space regions for the mentioned models. Moreover, we provide a few examples of investigations of the physical masses of supersymmetric particles and search for the excluded values. The constraints from the branching ratio associated to b → sγ are also presented here for all the examined parameter space regions. A comparison with Bs → μ+μ− branching ratio has also been performed.
Towards an Empirical Reuse Approach for the Software Evolution: A Case Study

Software systems must evolve, or they risk losing market share to competitors. However, evolving such a system is extraordinarily difficult, complicated, and time consuming. In this case, how to reuse the existing features of the previous version and reduce the code redundancy is a really appealing problem. For example, in order to support EJB3.0, many application server vendors have to evolve their existing EJB2.x containers to comply with the new standards. However, the code redundancy between both of the container versions not only increases the development cost, but also increases the maintenance cost when the software are modified because of potential problems or new requirements. In this paper, we propose an empirical reuse approach for software evolution and demonstrate it in a real EJB container evolution project.
Frequency of D222G and Q223R Hemagglutinin Mutants of Pandemic (H1N1) 2009 Influenza Virus in Japan between 2009 and 2010

Background In April 2009, a novel swine-derived influenza A virus (H1N1pdm) emerged and rapidly spread around the world, including Japan. It has been suggested that the virus can bind to both 2,3- and 2,6-linked sialic acid receptors in infected mammals, in contrast to contemporary seasonal H1N1 viruses, which have a predilection for 2,6-linked sialic acid. Methods/Results To elucidate the existence and transmissibility of α2,3 sialic acid-specific viruses in H1N1pdm, amino acid substitutions within viral hemagglutinin molecules were investigated, especially D187E, D222G, and Q223R, which are related to a shift from human to avian receptor specificity. Samples from individuals infected during the first and second waves of the outbreak in Japan were examined using a high-throughput sequencing approach. In May 2009, three specimens from mild cases showed D222G and/or Q223R substitutions in a minor subpopulation of viruses infecting these individuals. However, the substitutions almost disappeared in the samples from five mild cases in December 2010. The D187E substitution was not widespread in specimens, even in May 2009. Conclusions These results suggest that α2,3 sialic acid-specific viruses, including G222 and R223, existed in humans as a minor population in the early phase of the pandemic, and that D222 and Q223 became more dominant through human-to-human transmission during the first and second waves of the epidemic. These results are consistent with the low substitution rates identified in seasonal H1N1 viruses in 2008.
Peak Detection Using Difference Operators

Complex waveforms may contain peaks and valleys at many different scales, ranging from very local to very global. This correspondence describes an approach to detecting these peaks and valleys by applying simple difference operators at each point to neighborhoods having a wide range of sizes, and making simple comparisons of the outputs of these operators for various sizes and positions.
Spatial and Temporal Characteristics of Visual Field Progression in Glaucoma Assessed by Parallel Factor Analysis

Purpose To explore spatial and temporal characteristics of glaucomatous visual field (VF) progression through multi-way decomposition of data. Methods Six serial VF exams with intervals of 6.0 ± 1.0 months in 121 pre-perimetric glaucoma eyes and 80 perimetric glaucoma eyes were arranged into a three-dimensional cube. The data were decomposed using parallel factor analysis. Results Three tri-linear components (i.e., spatial scores, temporal loadings, and subject-specific loadings) were identified. Component 1 clearly showed differences between superior and inferior hemispheres, linear trends over time, and wide variability in perimetric glaucoma. Findings were compatible with well-known characteristics of glaucomatous VF defects. Component 2 showed nasal and central areas in contrast with superior, inferior, and temporal peripheral locations, whereas component 3 showed a contrast between nasal and temporal hemispheres. Both components 2 and 3 failed to show clear temporal trends. Conclusions Identification of spatio-temporal patterns shows new possibilities for a multi-way decomposition methodology for earlier diagnosis and prediction of glaucomatous VF progression.
Ijpbs |volume 4| Issue 2|apr-jun|2014|128-140 Development and Validation of a Stability-indicating Rp-uplc Method for the Determination of Fluconazole in Bulk Drug and in Pharmaceutical Dosage Forms

Fluconazole(FLK) is a synthetic triazole derivative antifungal agent that has been shown to be effective against a wide range of systemic and superficial fungal infections. A simple, cost effective, precise, accurate, and stability-indicating isocratic Ultra Performance Liquid Chromatographic (UPLC) method was developed and validated for the determination of FLK in bulk drug and in its tablets. The use of UPLC, with a rapid 5-minute-reversed-phase isocratic separation on a 1.7 μm reversed-phase packing material to provide rapid " high throughput " support for FLK, is demonstrated. The method was developed using Waters Acquity UPLC BEH C18 column (100 mm× 2.1 mm, 1.7 μm) with mobile phase consisting of a mixture of water and acetonitrile (80:20 v/v). The eluted compound was detected at 210 nm with a UV detector. The standard curve of mean peak area versus concentration showed an excellent linearity over a concentration range 0.3–80 μg. mL −1 FLK with regression coefficient (r 2) value of 0.9999. The limit of detection (S/N = 3) was 0.1 μg mL −1 and the limit of quantification (S/N = 10) was 0.3 μg mL −1. Forced degradation of the bulk sample was conducted in accordance with the ICH guidelines. Acidic, basic, hydrolytic, oxidative, thermal, and photolytic degradations were used to assess the stability indicating power of the method. The drug was found to be stable in acidic, basic, thermal, hydrolytic, and photolytic stress conditions and showed slight degradation in oxidative stress condition.
AERODYNAMIC DESIGN OF FLYING WING WITH EMPHASIS ON HIGH WING LOADING

This paper presents an aerodynamic design process of an aircraft in flying wing configuration. This is part of a greater project multipurpose unmanned an aircraft to fly in turbulent atmosphere. This project is conducted at the Warsaw University of Technology at the Faculty of Power and Aeronautical Engineering, Department of Aircraft Design. The main goal of presented project is to design a vehicle which will be able to fly in a high turbulent atmosphere. Within the frame of the project, the shape of the aircraft, the airfoil selection and design of control surface were made. The final configuration was analysed and the basic aerodynamic characteristic are presented. Moreover, the analysis of the trim condition was made
Optimal Results in Staged Self-Assembly of Wang Tiles

The subject of self-assembly deals with the spontaneous creation of ordered systems from simple units and is most often applied in the field of nanotechnology. The self-assembly model of Winfree describes the assembly of Wang tiles, simulating assembly in real-world systems. We use an extension of this model, known as the staged self-assembly model introduced by Demaine et al. that allows for discrete steps to be implemented and permits more diverse constructions. Under this model, we resolve the problem of constructing segments, creating a method to produce them optimally. Generalizing this construction to squares gives a new flexible method for their construction. Changing a parameter of the model, we explore much simpler constructions of complex monotone shapes. Finally, we present an optimal method to build most
Validating the Recognizing Excellence in Learning and Teaching (RELATE) Tool for Special Education Classrooms

ABSTRACT We created the Recognizing Excellence in Learning and Teaching (RELATE) Tool for Special Education Classroom Observation to fill the need for a well-researched, observational tool that provides a more accurate lens for observing instructional and social processes in the self-contained, special education setting. In this study, we examined the factor structure, descriptive, and psychometric properties of the RELATE Tool using 47 special education classrooms. The results of the descriptive statistics, exploratory factor analysis, and generalizability and decision studies suggest that the tool's reliability and validity are promising. We suggest modifications to one component of the tool to improve its psychometric properties.
Synthesis, Structure and Cytotoxic Activity of Mono- and Dialkoxy Derivatives of 5,8-Quinolinedione

A series of 5,8-quinolinedione derivatives containing one or two alkoxy groups was synthesized and characterized by 1H- and 13C-NMR, IR and MS spectra. X-ray diffraction was used to investigate the crystal structures of 6-chloro-7-(2-cyjanoethoxy)-5,8-quinolinedione and 6,7-di(2,2,2-trifloroethoxy)-5,8-quinolinedione. All studied compounds were tested in vitro for their antiproliferative activity against three human cancer cell lines and human normal fibroblasts. Most of the compounds showed higher cytotoxicity than the starting compound, 6,7-dichloro-5,8-quinolinedione, and cisplatin, which was used as a reference agent.
Feature modeling languages: Denotations and semantic differences

Software Product Lines (SPL) is a Software Engineering approach to systematically reuse software assets in order to produce a family of software products. To represent this set of products and how different features can be assembled SPL frameworks normally offer a Feature Modeling Language. In spite of most of these language share concepts they present several differences. The result of this situation is a contemporary set of dialects with syntax and semantic dissimilarities that hampers interoperability, engineering communication and adoption by practitioners. In this paper we review different SPL approaches focused on Feature Models (FM) to show missed elements in semantic problems. In order to classify them we propose four types of semantic anomalies based on a formal framework coming from philosophy of science. We conclude that most of semantic approaches do not point to real semantic problems. Moreover, most of basic FM's constructs present semantic anomalies.
Representing Queries as Distributions Xiaobing

Representing a query appropriately helps model the underlying information need and thus improves the retrieval performance. Previous query representations either generate related words and phrases to augment the original query but ignore how these words and phrases fit together in new queries, or apply a specific reformulation operation to the original query but ignore alternative operations. In this paper, a novel representation is proposed as a distribution of queries, where each query is a variation of the original query. This representation, on one hand, considers a query as a basic unit and thus captures important dependencies between words and phrases in the query. On the other hand, it naturally combines different reformulation operations as possible ways to generate variations of the original query. This query distribution representation is carefully compared with previous query representations in this paper to show its advantages. Some recent work using this representation has shown promising results and is briefly described here.
FAST IMAGE INDEXING AND VISUAL GUIDED BROWSING

Managing the ever rapidly increasing image data is a very challenging task, which can be roughly divided into user side and computer side issues. Although fundamental problems on the computer side of the challenge, such as image content representation, similarity matching and intelligent retrieval have received extensive research effort, equally important and difficult issues on the user side, such as fast indexing, interactive browsing and system usability have not yet been seriously studied. In this paper, we present a framework that integrates fast image indexing and user friendly interface design for easy and intuitive image database browsing. We use natural scene statistics to divide the database into easily describable visual themes, which in turn render extremely efficient indexing, and intuitive and visually meaningful user interface design. We present computer simulation results to demonstrate the effectiveness of the proposed method.
Study on torsional vibration characteristics of conical horn

The realization of torsional vibration by conical horn has more valuable application in project than by exponential horn and stepped horn. The wave equation of torsional wave propagating in the conical horn is analyzed based on one-dimensional wave theory, and the obtained wave equation is a standard Bessel equation. The frequency equation of the conical horn with torsional vibration is deduced on the basis of wave equation and boundary conditions. Then the mathematical expressions of nodal point and transformation ratio are given. The numerical example shows that mathematical expressions describe the acoustic characteristics of the conical horn with torsional vibration accurately. This study could provide theoretical as well as practical values for the conical horn applied in ultrasonic torsional machining.
Non-negative matrix factorization Vs. FastICA on mismatch negativity of children

In this presentation two event-related potentials, mismatch negativity (MMN) and P3a, are extracted from EEG by non-negative matrix factorization (NMF) simultaneously. Typically MMN recordings show a mixture of MMN, P3a, and responses to repeated standard stimuli. NMF may release the source independence assumption and data length limitations required by Fast independent component analysis (FastICA). Thus, in theory NMF could reach better separation of the responses. In the current experiment MMN was elicited by auditory duration deviations in 102 children. NMF was performed on the time-frequency representation of the raw data to estimate sources. Support to Absence Ratio (SAR) of the MMN component was utilized to evaluate the performance of NMF and FastICA. To the raw data, FastICA-MMN component, and NMF-MMN component, SARs were 31, 34 and 49dB respectively. NMF outperformed FastICA by 15dB. This study also demonstrates that children with reading disability have larger P3a than control children under NMF.
Distinct genomic aberrations associated with ERG rearranged prostate cancer

Emerging molecular and clinical data suggest that ETS fusion prostate cancer represents a distinct molecular subclass, driven most commonly by a hormonally regulated promoter and characterized by an aggressive natural history. The study of the genomic landscape of prostate cancer in the light of ETS fusion events is required to understand the foundation of this molecularly and clinically distinct subtype. We performed genome‐wide profiling of 49 primary prostate cancers and identified 20 recurrent chromosomal copy number aberrations, mainly occurring as genomic losses. Co‐occurring events included losses at 19q13.32 and 1p22.1. We discovered three genomic events associated with ERG rearranged prostate cancer, affecting 6q, 7q, and 16q. 6q loss in nonrearranged prostate cancer is accompanied by gene expression deregulation in an independent dataset and by protein deregulation of MYO6. To analyze copy number alterations within the ETS genes, we performed a comprehensive analysis of all 27 ETS genes and of the 3 Mbp genomic area between ERG and TMPRSS2 (21q) with an unprecedented resolution (30 bp). We demonstrate that high‐resolution tiling arrays can be used to pin‐point breakpoints leading to fusion events. This study provides further support to define a distinct molecular subtype of prostate cancer based on the presence of ETS gene rearrangements. © 2009 Wiley‐Liss,Inc.
Vision-based metric topological SLAM

In this paper, we present a vision-based metric/topological approach for the Simultaneous Localization and Mapping (SLAM) problem. Similar to recent works on metric/topological SLAM (MT SLAM) where the map is represented as a graph whose nodes are submaps and edges are relative transformations between submaps, we propose a graphical model for vision-based MT SLAM that estimates the hybrid robot pose and the map by using Bayesian filtering. We also propose a motion estimation method that incorporates the uncertainties of 3D landmarks to improve the accuracy of motion estimation and apply this method to our SLAM approach. We demonstrate the performance of the proposed approach using a stereo camera.
Self-Healing Key Distribution with Limited Group Membership Property

Self-healing key distribution enables users in a large and dynamic group to establish session keys for secure group communication over an unreliable network. The main property of self-healing key distribution is that the users are capable of recovering lost session keys on their own, without requesting additional transmissions from the group manager. In this paper, we propose a self-healing key distribution scheme for unreliable networks with constrained bandwidth resources. Our scheme has the limited group membership property that there exists an upper bound on the number of members in the group. We show that our scheme has a better tradeoff between storage and communication overhead than some previous schemes.
Motion Detection based on multi frame video under Surveillance System

In this paper a series of algorithm has been formed to track the feature of motion detection under surveillance system. In the proposed work a pixel variant plays a vital role in detection of moving object of a particular clip. If there is a little bit motion in a frame then it is detected very easily by calculating pixel variance. This algorithm detects the zero variation only when there is no motion in a real-time video sequence. It is simple and easier for motion detection in the fames of moving object having Avi file. In this work we enhanced the efficiency of moving object detection in a current pair of frame by implementing pixel base displacement algorithm in the frame of object as the current and previous. There are different levels at which tracking can be performed. At the highest level, the whole body is detected without paying attention to the details of the posture and limbs. At a lower level, the posture and limbs are tracked. At an even lower level, one or two parts of the body (such as hands) are tracked. Most of the existing algorithms for moving object detection assume that the illumination in a scene remains constant. Unfortunately, this assumption is not valid, especially in outdoor environment. To resolve the problem of our existing methods (Simple Differencing method and Shading Model Method), we introduced an improvement “illumination compensation coefficient Ki” that makes it work well even when there is a moving object detected in the scene. In this work we present a new, illumination independent method for moving object detection in outdoor environment. We also used median value of the observed region instead of mean value in calculating the variance in proposed method because the comparison is faster than addition and division. It is shown in experimental results, this method is superior to other techniques if the illumination is allowed to vary. This paper answered the crucial question regarding the detection of moving object and suggests the requirement of surveillances in the terms of security and in high tech world. Our selection criteria are directly based on the definition of Motion detection and tracking algorithms which explains the experimental performance of motion detection in a frame generated by real-time video & clips. This is usually analyzing the difference of two successive frames with the help of pixel variance. Software . net is used for the accomplishment of task. The purpose of surveillance is to provide more information of moving object by tracking its motion in multi frames at any work places as banking, cinema hall, shopping mall, offices and structural work. From the experimental data we can explain the change in pixel variant means that changes had occurred from the current frame to previous frame.