Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Video Streaming Through Server Driven Rate Control In Manets

The IEEE 802.11standard is developed and gained unprecedented popularity for its simple and cost-effective wireless technology to provide best effort services. But, it has to address serious challenges concerned to multimedia services. Quality of Service (QOS) is one of the most prominent among them. The tradeoff between the video quality and the streaming performance is eliminated by the quality driven rate controller's. They treat all the users alike but, where in practical it cannot be. The educational videos must be of more video quality than that of the video news, where video streaming must be more. To address the problem the proposedEquity Enhanced Distributed Channel Access (EEDCA) prioritizes the traffic according to their type and also focus on providing the Quality of Service (QOS) of a Mobile Adhoc Network (MANET) to equally distribute the resources among all the nodes to gratify the users.
How to Stimulate the Development of the Social Enterprise in Modern Russia

In the last decade, social entrepreneurship has been in the focus of numerous discussions among business scholars around the world. Social enterprises typically represent hybrid organizations setting both commercial goals and social goals. This semi-commercial orientation may have its advantages (e.g., gaining support of stakeholders interested in helping society achieve certain objectives) and disadvantages (e.g., weaker commercial orientation could make social enterprises less viable and attractive for providers of financial and human capital). This study examines the opinions regarding the development of the social enterprise in Russia among the academics and practitioners focused on identifying the factors that may inhibit or stimulate social entrepreneurship in the country. A focus group comprising 24 experts with deep knowledge of the area has brainstormed the problem. Summarizing and conceptualizing these brainstorming sessions, we critique those that urge the state to quickly enhance its efforts to spur social entrepreneurship in Russia and propose a more organic and gradual way of developing the social enterprise.
Entwicklung eines Dokumenten- Management-Systems

4 Abstract Object of the presented work is a document-management-system for the Institute of Multimedia Systems of Informatics of the Fachhochschule Mannheim – Hochschule der Technik und Gestaltung.Object of the presented work is a document-management-system for the Institute of Multimedia Systems of Informatics of the Fachhochschule Mannheim – Hochschule der Technik und Gestaltung. The document-management-system DMS is an offer, which can be used by students to find documents e.g. scripts, of the lectures quickly and efficiently in the intranet. For the professors the amount of administration will be reduced with the help of the DMS, as DMS will organize the administration of the documents. Furthermore, students can be automatically informed of updates by email. Main part is the indexing of documents, which will be processed by an independent server. This server extracts the plaintext of given documents (*.doc, *.pdf, *.xls, .) and removes formatted text and symbols. The remaining text will divided into words, which will be prepared by language specific algorithms, before being included in the index. This index consists of database tables to guarantee a better performance. Access of the documents can be obtained by the output server, which is implemented as a Java server. The used retrieval method consists of the vector space model combined with the Boolean logic. It is an option to add methods concerning the fuzzy logic and probability calculus. Furthermore, in order to improve the quality of the search results, stemmingand language recognizing algorithms will be used while indexing as well as searching. The results of a request will be returned to the user as a ranking (sorted by relevance). The diversity of the search machine is pointed out by the possibility of booking categories and organizing personal bookmarks. Called documents will be recorded in the database and used by the relevance feedback model to improve future search inquiries. 3 Stemming: Divides words into their basic form. Example: „went“ „go“ 4 Relevance Feedback Model: See 6.3. 1 Abstract 5 It is a feature of the system to import and export all data by XML – nodes. As a consequence, the web server returns only XML – documents, which will be transformed by XSL – style sheets to HTML.5 It is a feature of the system to import and export all data by XML – nodes. As a consequence, the web server returns only XML – documents, which will be transformed by XSL – style sheets to HTML. These functions make the system flexible. Backups and design changes are therefore no problem.
Dynamic Server Provisioning for Data Center Power Management

Data centers play an important role in today’s IT infrastructure. However, their enormous power consumption makes them very expensive to operate. Sadly, much of the power used by data centers is wasted because of poor capacity management, leading to low server utilization. In order to reduce data center power consumption, researchers have proposed several dynamic server provisioning approaches. However, there are many challenges that hinder the successful deployment of dynamic server provisioning, including: (i) unpredictability in workload demand, (ii) switching costs when setting up new servers, and (iii) unavailability of data when provisioning stateful servers. Most of the existing research in dynamic server provisioning has ignored, or carefully sidestepped, these important challenges at the expense of reduced benefits. In order to realize the full potential of dynamic server provisioning, we must overcome these associated challenges. This thesis provides new research contributions that explicitly address the open challenges in dynamic server provisioning. We first develop novel performance modeling tools to estimate the effect of these challenges on response time and power. In doing so, we also address several long-standing open questions in queueing theory, such as the analysis of multi-server systems with switching costs. We then present practical dynamic provisioning solutions for multi-tier data centers, including novel solutions that allow scaling the stateful caching tier and solutions that are robust to load spikes. Our implementation results using realistic workloads and request traces on a 38-server multi-tier testbed demonstrate that dynamic server provisioning can successfully meet typical response time guarantees while significantly lowering power consumption. While this thesis focuses on server provisioning for reducing power in data centers, the ideas presented herein can also be applied to: (i) private clouds, where unneeded servers can be repurposed for “valley-filling” via batch jobs, to increase server utilization, (ii) community clouds, where unneeded servers can be given away to other groups, to increase the total throughput, and (iii) public clouds, where unneeded virtual machines can be released back to the cloud, to reduce rental costs.
The Master Manipulator Control System in a Master-Slave Robot Based on Trinocular Stereo Vision

In this paper, a master manipulator control system in a master-slave robot which uses trinocular stereo vision is presented. The system utilizes three real-time cameras to identify and track the movements of the master handle, while also measuring the master handle position. The system follows a basic four step process. First, the master handle in the image is identified using the contrast between the handle and the background. Second, the speed and direction of the next position for the master handle is predicted in real-time by using the Kalman filter. Third, the position of the master handle is measured in real-time using stereo matching, which utilizes the method of combining feature matching and region gray matching to consistently identify the markers on the master handle and eliminate error matching. The experimental results in this study conclude that the master-handle manipulator control system is fast and exact.
Research on architecture of middleware platform oriented to multiple-terminal heterogeneous system

Aimed at the mobile terminals' lack of own ability and the defects caused by multi-terminal difference between heterogeneous systems,through the research of middleware platform's architecture,using the middleware technology to migrate ability and shield difference,a middleware platform oriented to mobile terminal application is presented.It combines the services model of "Capacity + Middleware + Terminal Application" and the technology of SOA,OSGi and data exchange,the modular and loosely coupled of the platform is realized,an efficient,low-cost,cross-platform development approaches is provided.Finally,the correctness and feasibility of the platform is verified by using an application developed through this architecture.
Optimization of the Document Placement in the RFID Cabinet

The study is devoted to the issue of optimization of the document placement in a single RFID cabinet. It has been assumed that the optimization problem means the reduction of archivization time with respect to the information on all documents with RFID tags. Since the explicit form of the criterion function remains unknown, for the purpose of its approximation, the regression analysis method has been used. The method uses data from a computer simulation of the process of archiving data about documents. To solve the optimization problem, the modified gradient projection method has been used.
High resolution topography sensors in a multisenor measuring setup

Due to the continuing trend to minimize micro structures on technical surfaces the requirements on measuring sensors are also increasing. This includes the lateral and axial resolution as well as the measuring speed. The latter is provided by using optical sensors like confocal microscopes, laser and coherence scanning interferometers. However, artifacts may occur in the measurement result leading to an erroneous reproduction of the surface to be measured. In order to investigate these artifacts and to optimize the setup of optical sensors the measuring results of different optical sensors can be compared among each other as well as with further sensors by using a multisensor measuring setup. Important characteristics of topography sensors are their axial accuracy and the lateral resolution. For this purpose, a standardized repeatability is determined for each sensor. In addition, measurements on technical surfaces to investigate the lateral resolution are presented.
Integrated Indexing Method using Compound Noun Segmentation and Noun Phrase Synthesis

In this paper, we propose an integrated indexing method with compound noun segmentation and noun phrase synthesis. Statistical information is used in the compound noun segmentation and natural language processing techniques are carefully utilized in the noun phrase synthesis. Firstly, we choose index terms from simple words through morphological analysis and part-of-speech tagging results. Secondly, noun phrases are automatically synthesized from the syntactic analysis results. If syntactic analysis fails, only morphological analysis and tagging results are applied. Thirdly, we select compound nouns from the tagging results and then segment and re-synthesize them using statistical information. In this way, segmented and synthesized terms are used together as index terms to supplement the single terms. We demonstrate the effectiveness of the proposed integrated indexing method for Korean compound noun processing using KTSET2.0 and KRIST SET which are a standard test collection for Korean information retrieval.
Analysis of Reduced Switch Topology Multilevel Inverter with Different Pulse Width Modulation Technique and Its Application with DSTATCOM

Multilevel inverter has played a vital role in medium and high power applications in the recent years. In this paper, Reduced Switch Count Multi Level Inverter structure (RSCMLI) topology is presented with different pulse width modulation techniques. The harmonic level analysis is carried out for the reduced switch count multilevel inverter with the different PWM technique such as with Alternate Phase Opposition Disposition (APOD) method, In Phase Disposition (IPD) method and multi reference pulse width modulation method for five level, seven level , nine level and eleven level inverter. The simulation results are compared with the cascaded H Bridge Multi Level Inverter (CHBMLI). The nine level RSCMLI inverter with APOD method is used for the Distribution Static Synchronous Compensator (DSTATCOM) application in the nonlinear load connected system for power factor improvement. The result shows that the harmonic level and the number of switches required for RSCMLI is reduced compared to CHBMLI. RSCMLI employed in DSTATCOM improves the power factor and harmonic level of the system when it is connected to the nonlinear load.
Stacking As Sample On-Line Pre-concentration Technique inMicroemulsion Electrokinetic Chromatography

Copyright: © 2015 Maher HM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Microemulsion electrokinetic chromatography (MEEKC) is an electro-driven separation technique based on capillary electrophoresis (CE) which utilizes microemulsions (ME) as separation background electrolytes (BGE). O/W ME are typically employed for MEEKC separations, which contain oil droplets (e.g., n-octane), suspended in aqueous buffer. Surfactants, usually sodium dodecyl sulphate (SDS), are present in excess of their critical micelle concentration (CMC), to facilitate droplet formation by lowering the surface tension. A shortchain alcohol (e.g., 1-butanol) is also added as co--surfactant, which further lowers surface tension and stabilizes the microemulsion system. These ME are used as pseudo stationary phase in MEEKC. MEEKC separates solutes based on hydrophobicity and differences in electrophoretic mobility, and it offers highly efficient separation of charged and neutral solutes covering a wide range of water solubility. The separation is a combination of electrophoretic mechanism and chromatographic partitioning with the ME droplets. The partitioning occurs between the oil droplets and the aqueous phase. Uncharged, highly hydrophilic solutes reside in the aqueous phase of the ME and migrate quickly with the EOF towards the detector. Charged species are also electrophoretically separated based on their mass, charge, and interaction with the oil droplet. Positively-charged solutes may form an ion-pair with the surface of a negatively-charged droplet while negatively-charged solutes in general will be repelled by the droplet. The more the analyte is incorporated into the micelle, the slower the analyte will migrate. The analytes are detected in an increasing order of the distribution co-efficients at the cathodic end [1,2].
Z-source converters

Impedance-sourced networks provide an efficient means of power conversion between source and load in a wide range of electric power conversion applications (dc-dc, dc-ac, ac-dc, and ac-ac). Various topologies and control methods using different impedance source networks have been presented in the literature, e.g. for adjustable-speed drives, uninterruptible power supply, distributed generation (fuel cell, photovoltaic (PV), wind, etc.), battery or super-capacitor energy storage, electric vehicles, distributed dc power systems, avionics, flywheel energy storage systems, electronic loads, dc circuit breaker, and many more [1-13]. A variety of converter topologies with buck, boost, buck-boost, unidirectional, bidirectional, isolated as well as non-isolated converters are possible by proper implementation of the impedance source network with various switching devices, topologies, and configurations. Figure 7.1 shows the general configuration of an impedance source network for electric power conversion.
Detecting, segmenting and tracking bio-medical objects

Studying the behavior patterns of biomedical objects helps scientists understand the underlying mechanisms. With computer vision techniques, automated monitoring can be implemented for efficient and effective analysis in biomedical studies. Promising applications have been carried out in various research topics, including insect group monitoring, malignant cell detection and segmentation, human organ segmentation and nano-particle tracking. In general, applications of computer vision techniques in monitoring biomedical objects include the following stages: detection, segmentation and tracking. Challenges in each stage will potentially lead to unsatisfactory results of automated monitoring. These challenges include different foreground-background contrast, fast motion blur, clutter, object overlap and etc. In this thesis, we investigate the challenges in each stage, and we propose novel solutions with computer vision methods to overcome these challenges and help automatically monitor biomedical objects with high accuracy in different cases.
Family Creative Learning

Family Creative Learning is a workshop series that engages children and their parents to learn together — as designers and inventors — through the use of creative technologies. We designed these workshops to strengthen the social support and expertise of families with limited access to resources and experiences around computing. As they create together, families learn how to support one another in their learning from asking questions, giving feedback, and persevering through challenges. Children and parents also connect with other families by sharing meals from local restaurants, engaging in inter-family activities, and sharing their projects. Children and their parents engage in design-based activities using creative technologies, like Scratch and MaKey MaKey, to create their own personally meaningful projects.
ANSWER: Documentation, Formal Conceptualisation and Annotation of New Media

Within the scope of ANSWER, an EC-supported research project, a new artistic notation system, called DirectorNotation, is being developed for describing media content, much like notes are used to document a music composition. Our current research focuses on developing “notation-enabled” offline authoring tools, but interactive applications are an anticipated extension. Here, we summarise the key aspects of DirectorNotation and the ANSWER project, from the point of view of a multimedia-technology audience interested in content-based manipulation of media.
Improving spatiotemporal reflectance fusion using image inpainting and steering kernel regression techniques

ABSTRACT A novel spatiotemporal reflectance fusion method integrating image inpainting and steering kernel regression fusion model (ISKRFM) is proposed to improve the fusion accuracy for remote-sensing images with different temporal and spatial characteristics in this article. This method first detects the land-cover changed regions and then fills them with unchanged similar pixels by an exemplar-based inpainting technique. Furthermore, a steering kernel regression (SKR) is used to adaptively determine the weightings of local neighbouring pixels to predict high spatial resolution image. Accordingly, the main contributions of this method are twofold. One is to address the land-cover change issues in the spatiotemporal fusion, and the other is to establish an adaptive weighting assignment according to the pixel locations and the radiometric properties of the local neighbours to account for the effect of neighbouring pixels. To validate the proposed method, two actual Enhanced Thematic Mapper Plus (ETM+) and Moderate Resolution Imaging Spectroradiometer (MODIS) acquisitions at southeast China were implemented and compared with the baseline spatial and temporal adaptive reflectance fusion model (STARFM). The experimental results demonstrate that addressing the land-cover changes in spatiotemporal fusion has positive effects on the fused image, and the proposed ISKRFM method significantly outperforms STARFM in terms of both visual and quantitative measurements.
Intuitive visualizations through multi-domain projections for performance analysis at scale

Performance analysis of parallel scientiﬁc codes is becoming increasingly diﬃcult due to the rapidly growing complexity of applications and architectures. Existing tools fall short in providing intuitive views to reveal the root causes of performance problems. We have developed a new paradigm of projecting and visualizing performance data obtained from one domain onto other domains for faster, more intuitive analysis of applications. We gather performance data in three domains: hardware, application, and communication. For each domain, we deﬁne projections that allow the data to be viewed in the other domains. This framework is called the HAC model . The model not only allows us to directly compare the data across domains, but also allows us to use data visualization and analysis tools available in the other domains. Using the methodologies and visualization techniques mentioned above, we have demonstrated the careful unscrambling of otherwise tangled measurements caused by adaptive systems. By attributing performance measurements directly to their causes, we are able to visualize performance measurements in the domains most intuitive to the user, which are not necessarily those in which measurements are collected.
ESTRATÉGIAS DE ACOMPANHAMENTO DE MÚLTIPLOS ALVOS: UMA COMPARAÇÃO ENTRE AS ABORDAGENS DE ASSOCIAÇÃO DE DADOS MHT E REDES NEURAIS

of Dissertation presented to COPPE/UFRJ as a partial fulfillment of the requirements for the degree of Master of Science (M.Sc.) MULTIPLE TARGET TRACKING STRATEGIES: A COMPARISON BETWEEN THE DATA ASSOCIATION APPROACHES MHT AND NEURAL NETWORKS Manuel Ramón Vargas Avila
Leveraging Learning Analytics in a Personal Learning Environment using Linked Data

We report on the reflection of learning activities and revealing hidden information based on tracking user behaviors with Linked Data. Within this work we introduce a case study on usage of semantic context modelling and creation of Linked Data from logs in educational systems like a Personal Learning Environment (PLE) with focus on reflection and prediction of trends in such systems. The case study demonstrates the application of semantic modelling of the activity context, from data collected for over two years from our own developed widget based PLE at Graz University of Technology. We model learning activities using adequate domain ontologies, and query them using semantic technologies as input for visualization which serves as reflection and prediction medium as well for potential technical and functional improvements like widget recommendations. As it will be shown, this approach offers easy interfacing and extensibility on technological level and fast insight on trends in e-learning systems like PLE.
Field evaluation of a sustainable road structure concept

Circular economy principles and the use of renewable materials are innovations to increase the competitiveness of roads construction and reduce the associated environmental impact. This paper presents results of two full-scale case studies, one in Poland and the other in Spain, in which a new sustainable pavement concept developed in the APSE project, a FP7 project financed by the EC was implemented. The concept comprises of an innovation in each layer: a greener asphalt binder, including lignin in its composition, in the surface course, a midhigh content of Reclaimed Asphalt Pavement together with an innovative biofluxing agent in the binder and base courses and recycled aggregates from Construction and Demolition Waste as an alternative to the traditional granular sub-bases. The effectiveness of the asphalt was evaluated through all the phases, from early laboratory assessment to plant production, application and post-trial evaluation. A direct comparison was made to reference asphalt mixes.