Miracle-dz/UniFAR-FTUs huggingface dataset:
Support Vector Machine: Itself an Intelligent Systems

From the beginning, machine learning methodology, which is the origin of artificial intelligence, has been rapidly spreading in the different research communities with successful outcomes. This chapter aims to introduce for system analysers and designers a comparatively new statistical supervised machine learning algorithm called support vector machine (SVM). We explain two useful areas of SVM, that is, classification and regression, with basic mathematical formulation and simple demonstration to make easy the understanding of SVM. Prospects and challenges of future research in this emerging area are also described. Future research of SVM will provide improved and quality access to the users. Therefore, developing an automated SVM system with state-of-the-art technologies is of paramount importance, and hence, this chapter will link up an important step in the system analysis and design perspective to this evolving research arena.
Medical image segmentation based on SLIC superpixels model

Medical imaging has been widely used in clinical practice. It is an important basis for medical experts to diagnose the disease. However, medical images have many unstable factors such as complex imaging mechanism, the target displacement will cause constructed defect and the partial volume effect will lead to error and equipment wear, which increases the complexity of subsequent image processing greatly. The segmentation algorithm which based on SLIC (Simple Linear Iterative Clustering, SLIC) superpixels is used to eliminate the influence of constructed defect and noise by means of the feature similarity in the preprocessing stage. At the same time, excellent clustering effect can reduce the complexity of the algorithm extremely, which provides an effective basis for the rapid diagnosis of experts.
Data-driven fault detection for networked control system based on implicit model approach

In this paper, we propose a data-driven fault detection algorithm for the nonlinear system with network-induced time delay. Double-layer Quasi Takagi-Sugeno fuzzy modeling method is employed to represent the system. Quasi fuzzy model addresses the issue of time delay on the inner layer. Classical fuzzy model depicts the nonlinearity of the networked control system (NCS) on the outer layer. We apply implicit model approach to achieve the data-driven fault detection for the system. The implicit model approach provides an alternative perspective of the recently developed subspace-based data-driven approach. Inspired by the method of parallel distributed compensation, we construct the overall data-driven fault detection algorithm for the nonlinear NCS. The validation of the proposed algorithm is proved on the well-established Tennessee-Eastman process.
Ultrasound registration and tracking for robot-assisted laproscopic surgery

In the past two decades, there has been considerable research interest in medical image registration during surgery. The overlay of medical images over the images from a surgical camera allows the surgeon to see sub-surface features such as tumor boundaries and vasculature. Ultrasound imaging is a prime candidate for medical image registration, as it is a real-time imaging modality and therefore is commonly-used for intraoperative surgical guidance. Prior technologies that attempted ultrasound-based registration have used external trackers in order to establish a geometric correspondence between the surgical cameras and the ultrasound probes; this requires probe and camera calibration, which is time-consuming, requires additional equipment, and adds additional sources of error to the registration. Another problem is how to maintain a registration between the ultrasound image and the underlying tissues, since tissues will move and deform from patient breathing and heartbeat, and from surgical instrument interaction with tissues. In order to overcome this, the underlying tissue should be tracked, and previously acquired ultrasound images should be registered and moved with the tracked tissue. Prior work has had limited success in providing a real-time solution for estimating local tissue deformation and movement; furthermore, there has been no work in estimating the accuracy of maintaining a registration — that is, the accuracy of the registration after having been moved with the tracked tissue. In this work, we establish an image registration method between ultrasound images and endoscopic stereo-cameras using a novel registration tool; this method does not require external tracking or ultrasound probe calibration, thus providing a simple method for performing a registration. In order to maintain an image registration over time, we developed a tissue tracking framework. Its key innovation
Method of preventing the perceptual video quality deterioration in streaming media distribution services based on the detection of deterioration sign

To support the high quality streaming media distribution services, it is important to detect a sign of perceptual video quality deterioration and to prevent the deterioration. This paper proposes the alternative routing method to prevent the deterioration of TCP base streaming flow over the fault route. First, this paper proposes to use the estimated number of packets stored for the reproduction in client PC as a sign of the deterioration for TCP based streaming media distribution, and to detect the fault route. Next, this paper proposes the method to automatically understand network topology and bandwidth usage by monitoring BGP (Border Gateway Protocol) routing protocol packets, and to prevent the deterioration of streaming flow over the fault route with alternative routing. The effectiveness of the proposed method is demonstrated by simulation.
New Abstractions for Mobile Connectivity and Resource Management

Mobile devices have become an important—and for many, primary—means of connecting to the Internet. They offer great flexibility in how and where they are used, even with constraints like battery life and data caps. However, their network stack and operating system are lacking when it comes to network mobility and managing their limited resources. First, mobility, if even addressed by devices and apps, is done in an ad-hoc manner to “hide” connectivity issues rather than fix underlying shortcomings. Second, resource management is dealt with in broad strokes, scattered among various app and device settings pages. In this thesis, we provide new abstractions addressing these issues. To better handle mobility in the network stack, we need to remove the overloading of IP/port as both app-level connection identifiers and network addresses, thereby allowing apps to maintain a connection even when addresses change. To that end, we present ECCP, a protocol that splits the current transport layer into two: one for connection management (e.g., startup, teardown, migration) and one for data delivery semantics (e.g., reliable, best-effort, etc). ECCP is part of a larger network architecture, Serval, which addresses several pain points with today’s networked systems, consisting of replicated backend services and mobile, multi-homed clients. We derive a state machine for ECCP supporting migration and multipath, and through Serval, we demonstrate ECCP’s value in scenarios utilizing mobility (e.g., VM migration) while achieving par performance with TCP. To utilize better mobility support, devices need a more expressive resource management system. Currently, network choice and resource management is limited to broad decisions (e.g., if cellular network usage is allowed). Users must either choose “good enough” settings or else micromanage their device and apps, e.g., turning WiFi on/off while streaming music between hotspots. Instead, we introduce Tango, a programmatic, policy-based network resource management platform, that works at the iii device and app levels to offer more flexiblity. Users and apps define policies that dynamically monitor device state to adjust resource usage on their behalf. Using Tango, a user can, e.g., minimize cellular data while streaming music (using it only to prevent playback pauses), saving up to 60-95%.
A Flux Mapping Method for Central Receiver Systems (Powerpoint Presentation).

A new method is described to determine irradiance distributions on receivers and targets from heliostats or other collectors for concentrating solar power applications. The method uses a CCD camera, and, unlike previous beam characterization systems, it does not require additional sensors, calorimeters, or flux gauges on the receiver or target. In addition, spillage can exist (the beam does not need to be contained within the target). The only additional information required besides the digital images recorded from the CCD camera is the direct normal irradiance and the reflectivity of the receiver. Methods are described to calculate either an average reflectivity or a reflectivity distribution for the receiver using the CCD camera. The novel feature of this new PHLUX method is the use of recorded images of the sun to scale both the magnitude of each pixel value and the subtended angle of each pixel. A test was performed to evaluate the PHLUX method using a heliostat beam on the central receiver tower at the National Solar Thermal Test Facility in Albuquerque, NM. Results showed that the PHLUX method was capable of producing an accurate flux map of the heliostat beam with a relative error in the peak flux of 2%.
Belief-space Planning for Active Visual SLAM in Underwater Environments.

Autonomous mobile robots operating in a priori unknown environments must be able to integrate path planning with simultaneous localization and mapping (SLAM) in order to perform tasks like exploration, search and rescue, inspection, reconnaissance, target-tracking, and others. This level of autonomy is especially difficult in underwater environments, where GPS is unavailable, communication is limited, and environment features may be sparselydistributed. In these situations, the path taken by the robot can drastically affect the performance of SLAM, so the robot must plan and act intelligently and efficiently to ensure successful task completion. This document proposes novel research in belief-space planning for active visual SLAM in underwater environments. Our motivating application is ship hull inspection with an autonomous underwater robot. We design a Gaussian belief-space planning formulation that accounts for the randomness of the loop-closure measurements in visual SLAM and serves as the mathematical foundation for the research in this thesis. Combining this planning formulation with sampling-based techniques, we efficiently search for loop-closure actions throughout the environment and present a two-step approach for selecting revisit actions that results in an opportunistic active SLAM framework. The proposed active SLAM method is tested in hybrid simulations and real-world field trials of an underwater robot performing inspections of a physical modeling basin and a U.S. Coast Guard cutter. To reduce computational load, we present research into efficient planning by compressing the representation and examining the structure of the underlying SLAM system. We propose the use of graph sparsification methods online to reduce complexity by planning with an approximate distribution that represents the original, full pose graph. We also propose the use of the Bayes tree data structure—first introduced for fast inference in SLAM—to perform efficient incremental updates when evaluating candidate plans that are similar. As a final contribution, we design risk-averse objective functions that account for the randomness within our planning formulation. We show that this aversion to uncertainty in the posterior belief leads to desirable and intuitive behavior within active SLAM.
Thermal imaging in automatic rodent’s social behaviour analysis

Laboratory rodent social behaviour analysis is an extremely important task for biological, medical and pharmacological researches. In this work thermal images features that facilitate analysis are presented. Methods to distinguish objects on the basis of thermal distribution are tested. Actions of grooming or biting one rodent by another important social behaviour incidents are clearly visible in thermal images due to the saliva left on fur. Numerical parameters useful in detecting the occurrence of these actions are described. Recognition results are verified on the rats' social behaviour thermal images dataset.
Infinite In All Directions

Thank you for downloading infinite in all directions. As you may know, people have search numerous times for their chosen novels like this infinite in all directions, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some infectious virus inside their computer. infinite in all directions is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers hosts in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the infinite in all directions is universally compatible with any devices to read.
RELATIONSHIP AMONG STUDENTS’ FACING PROBLEM RELATED MATHEMATICS LEARNING AND LESSON

Purpose: The objective of this study is to examine the Japanese junior high school students’ feelings of difficulty in learning mathematics and discuss a possible solution on the ‘Lesson Study’ framework. Methodology: A survey was performed on 616 students of a public junior high school regarding their feelings towards learning mathematics. The survey was carried out at the end of the academic year 2016 in March, and 182 students (44 first-year, 75 second-year, 63 third-year) participated in the study. In this investigation, only those who answered “No Problem” were further scrutinized by means of conjoint analysis for their anxieties towards the specific learning modules following the education system guidelines and classified as ‘Algebra calculations’, ‘Functions’ and ‘Geometrical figures’. Basically, the analysis consisted of assessing these students’ awareness of ‘being good at’ and ‘being not good at’ one specific module relative to the other modules. Data processing and conjoint analysis were performed with Microsoft Excel. Main Findings: Roughly 68% of first year students, 77% of second year female students, and 72% of third year female students felt ‘Not Good At’ towards ‘Algebra calculation’ and ‘Functions’, whereas about 95% of second year male students self-assessed themselves as ‘Not Good At’ towards ‘Functions’, and 79% of third year males as ‘Good At’ towards ‘Algebra calculation’. Thus, even though some students declared “No Problem”, they were actually ‘Not Good At’. Implications: These findings suggest that a class division according to the students’ feelings with ‘Lesson Study’ at the teachers’ level would help struggling students to learn mathematics. In addition, we showed that the use of conjoint analysis-based assessment may help educators and teachers to figure out students’ feelings towards learning mathematics. Novelty: The use of conjoint analysis to analyze the students’ implicit feelings towards learning mathematics is followed by a discussion on the grounds of ‘Lesson Study’, for which a cycle at the individual level is presented.
15. Social Networks as a Communication Tool from Children’s Perpective: A Twitter Experience

Popularity and use of social networks among all ages for various purposes brings up the necessity for investigation of these networks on human psychology and interpersonal communication. As contrasted by different researchers, displacement and stimulation hypotheses arose on either side and resulted in the need for a wider examination of social networks. However, inferences neither theoretical nor practical descent alone will fail to enlighten every spot including effects of social networks on structure and wealth of the society. Thus, research is necessary to examine the influence of social networks all demographics within society, with the present chapter focusing on children. This chapter discusses the effects of social networks on lifestyles and behaviors of people both psychologically and socially by linking theory and practice. The chapter itself is comprised of two sections; the first section presents an evaluation of role of social networks on children and its use as a communication tool, while the second section presents a sample case of from the social network Twitter. The study was carried out in a private primary school in Turkey with 51 students. Use of Twitter was promoted by organizing a contest on Twitter. Communication through twitter was also promoted and experiences on use of Twitter as a communication tool are examined in detail. In terms of data collection, the study used a case study and a questionnaire, semi-structured interviews, document analysis, as well as open ended questions. In this study, social networks were evaluated from children’s perspectives and discussed in the light of theories.
Historical Linguistics And Generative Grammar

Thank you very much for reading historical linguistics and generative grammar. Maybe you have knowledge that, people have search numerous times for their chosen readings like this historical linguistics and generative grammar, but end up in infectious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they cope with some infectious virus inside their computer. historical linguistics and generative grammar is available in our book collection an online access to it is set as public so you can download it instantly. Our books collection 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 historical linguistics and generative grammar is universally compatible with any devices to read.
Considerations for Selecting RTCP Extended Report (XR) Metrics for the RTCWEB Statistics API

This document describes monitoring features related to RTCWEB. It provides a list of RTCP XR metrics, which are useful and may need to be supported in some RTCWEB implementations. It also describes a list of additional identifiers for WebRTC's statistics API. These identifiers are a set of RTCP XR metrics related to the transport of multimedia flows.
Übertiefte Rinnen im Hamburger Raum

Abstract. Das Phanomen der ubertieften Taler begleitet die Quartarforschung im Hamburger Raum seit dem Beginn der Untersuchungen eiszeitlicher Sedimente. Die Dichte der das Pleistozan durchteufenden Bohrungen ist in zahlreichen Bereichen so gros, das Quartarbasiskarten im Masstab 1 : 1000 bis 1 : 10 000 ein anschauliches Bild von den Auswirkungen der glazigenen Exaration und Erosion wiedergeben. Einzelne bis uber —400 m NN reichende ubertiefte Taler schneiden sich in drumlinsierte Jungtertiarflachen ein. In den tieferen Talern dominieren glazifluviale und -limnische Sedimente, wahrend in den bis —80 m NN tiefen Hohlformen Gletscherablagerungen uberwiegen. Alle bekannten geomorphologischen und geologischen Fakten lassen sich zwanglos in das Modell kombinierter subglazialer Schmelzwasser-Erosion und Exaration des elsterzeitlichen Inlandeises einfugen. Aus der Saale- und Weichsel-Kaltzeit wurden im Hamburger Raum nur Tunneltaler mit Ubertiefungen von 5—15 m bekannt, jedoch keine den Rinnen der Elster-Kaltzeit vergleichbaren Hohlformen, ostlich von Oldesloe/Holstein wurden 2 subglaziale Talchen entdeckt, in denen spatglaziale-holozane Mudde unmittelbar auf weichselzeitlicher Morane liegt. Diese Hohlformen zwischen Drumlin-Rucken entsprechen dem subglazialen Typ der Glazielle im Sinne von Gripp (1975). Nach der Intensitat der Erosionsleistung kann folgende Entwicklungsreihe der subglazialen ubertieften Taler aufgestellt werden: Tunneltal — Glazielle — Rinne — Fjord.
Human Movement Control

Control theory is used to design automatic systems, which are able to maintain a desired behaviour despite of the disturbances. It is present in different machines we use every day; in fact, technical systems in our homes and all the industries are hard to imagine today without these concepts. Moreover, the same theories can be used for modelling life processes as a collection of inputs, outputs, plants and control loops. Feedback is one of the main concepts behind control; in particular, several examples of physiological control mechanisms for regulating life aspects can be found in the human anatomy, for example, blood pressure, cholesterol levels, body movements, the equilibrium, etc. Those processes can be damaged by the aging effects, diseases, accidents or when the mechanism has been broken and cannot be recovered naturally; consequently, it will be required external assistance. A relative new field in control theory is related with developing technology for helping with physiological and medicals problems. However, in comparison with machines, those physiological processes are highly nonlinear, with delays and slow responses. Another problem is when human becomes the operators using their capacities of decision making to close the control loop, as they are prone to errors and mistakes. For those reasons, the biomedical system needs to be carefully designed and several aspects have to be considered. This chapter gives a small review of some internal and external control processes within the human body and discusses how to interact with them for designing biomedical devices. Under this design scheme, a practical application of a smart electric wheelchair for assisting persons with strong disabilities is presented. These assistive robotic systems are in close contact with the user, and thus, it is determinant to have a user-friendly relation between the human and the interface. Therefore, intuitive interfaces were included in the design and an intelligent navigation assistant to guarantee a collision-free path.
Mobile robot indoor navigation using laser range finder and monocular vision

The intention of this paper is to introduce our research in mobile robot indoor navigation using laser range finder and monocular vision. The basic model and control law in our platform are introduced firstly. The extended methods of angle histograms and weighted Hough transform are demonstrated through practical application and experiments. Some methods and algorithms in image processing are also illustrated and used in our work. A series of experiment results and further analysis are also given in this paper.
Two degree-of-freedom control with adaptive robust control for hard disk servo systems

A two-degree-of freedom (2DOF) control structure is proposed for read/write head servo systems of hard disk drives (HDD). This structure may be applied to both track seeking and track following, and it makes mode switches found in conventional HDD servo systems unnecessary. Two possible approaches are studied, emphasizing the rejection of disturbances and the effects of modeling uncertainties. One approach uses a disturbance observer (DOB), and the other uses adaptive robust control (ARC). Simulation results show that the 2DOF structure with ARC provides better performance than either the conventional servo system with mode switches or the 2DOF structure with DOB.