Miracle-dz/UniFAR-FTUs huggingface dataset:
An improvement of video streaming service using dynamic routing over OpenFlow networks

Network technology is being developed as a next-generation network (NGN) which is a software-defined networking. The network management can be done directly from the control unit that separated from the transmission unit, called as a forwarder and decoupling controller, which makes efficient network management. In the near future, the next generation network will be used to replace a traditional network. This paper presents a framework of Quality of Service (QoS) for improvement video streaming service on Mesh Topology via OpenFlow framework. We used the optimal dynamic routing to distribute the flow of data. Our framework has enhanced quality for transferring video streaming when many clients request at the same time. In simulation results, which show that our proposed the QoS dynamic routing framework can achieve significant improvement in overall quality of streaming more than none QoS scenarios. In additional, the performance to maintain the server is good for clients even the system reaches the critical point of the network.
An instruction redundancy removal method on a transport triggered architecture processor

As a class of configurable instruction-level parallelism architectures, transport triggered architecture (TTA) processors, with simple but high cost-effective architecture, have more advantage in the field of embedded digital signal processing applications comparing with the general purpose processors. In this paper, an instruction redundancy removal TTA processor with base plus offset addressing load/store function unit (LSFU) and no-operation (NOP) instruction slots reuse is introduced. With the new LSFU, a TTA processor's addressing ability and flexibility were greatly improved. At the same time, program memory size was saved, because the number of long immediate data in the program was dramatically decreased. Furthermore, the novel NOP instruction slots reuse also shrunk the program memory size by utilizing the waste NOP instruction slots. To evaluate the instruction redundancy removal method, a 32-point DCT benchmark was used. Comparing with the results from a general purpose processor, ARM9E-S, and a traditional TTA processor published before, it shows significant efficiency improvement in our design.
Detecting epidemics using highly noisy data

From Cholera, AIDS/HIV, and Malaria, to rumors and viral video, understanding the causative network behind an epidemic's spread has repeatedly proven critical for managing the spread (controlling or encouraging, as the case may be). Our current approaches to understand and predict epidemics rely on the scarce, but exact/reliable, expert diagnoses. This paper proposes a different way forward: use more readily available but also more noisy data with {\em many false negatives and false positives}, to determine the causative network of an epidemic. Specifically, we consider an epidemic that spreads according to one of two networks. At some point in time we see a small random subsample (perhaps a vanishingly small fraction) of those infected, along with an order-wise similar number of false positives. We derive sufficient conditions for this problem to be detectable, and provide an efficient algorithm that solves the hypothesis testing problem. We apply this model to two settings. In the first setting, we simply want to distinguish between random illness (a complete graph) and an epidemic (spread along a structured graph). In the second, we have a superposition of both of these, and we wish to detect which is the strongest component.
Feasibility Study of Automated Framework for Estimating Lung Tumor Locations for Target-Based Patient Positioning in Stereotactic Body Radiotherapy

Objective. To investigate the feasibility of an automated framework for estimating the lung tumor locations for tumor-based patient positioning with megavolt-cone-beam computed tomography (MV-CBCT) during stereotactic body radiotherapy (SBRT). Methods. A lung screening phantom and ten lung cancer cases with solid lung tumors, who were treated with SBRT, were employed to this study. The locations of tumors in MV-CBCT images were estimated using a tumor-template matching technique between a tumor template and the MV-CBCT. Tumor templates were produced by cropping the gross tumor volume (GTV) regions, which were enhanced by a Sobel filter or a blob structure enhancement (BSE) filter. Reference tumor locations (grand truth) were determined based on a consensus between a radiation oncologist and a medical physicist. Results. According to the results of the phantom study, the average Euclidean distances of the location errors in the original, Sobel-filtered, and BSE-filtered images were 2.0 ± 4.1 mm, 12.8 ± 9.4 mm, and 0.4 ± 0.5 mm, respectively. For clinical cases, these were 3.4 ± 7.1 mm, 7.2 ± 11.6 mm, and 1.6 ± 1.2 mm, respectively. Conclusion. The feasibility study suggests that our proposed framework based on the BSE filter may be a useful tool for tumor-based patient positioning in SBRT.
Pedestrian Detection Image Processing with FPGA A Major Qualifying Project Report

This paper focuses on real-time pedestrian detection using the Histograms of Oriented Gradients (HOG) feature descriptor algorithm in combination with a Linear Support Vector Machine (LSVM) on a Field Programmable Gate Array (FPGA). Pedestrian detection on embedded systems is a challenging problem since accurate recognition requires extensive computation. To achieve real-time pedestrian recognition on embedded systems, hardware architecture suitable for HOG feature extraction is proposed. HOG is considered the most accurate pedestrian detection algorithm in modern computer vision. In order to reduce computational complexity toward efficient hardware architecture, this paper proposes several methods to simplify the computation of the HOG feature descriptor such as conversion of the division, square root, and arctangent to more simple operations. The architecture is proposed on a Xilinx Zynq-7000 All Programmable SoC ZC702 using Verilog HDL to evaluate the real-time performance. This implementation processes image data at twice the pixel rate of similar software simulations and significantly reduces resource utilization while maintaining high detection accuracy. iii Acknowledgements
Japanese listeners' perception of English fricatives in AMR-NB cell phone speech

From the fact that Japanese listeners have difficulty perceiving English fricative sounds in natural speech, it is natural to expect that such listeners would have even more difficulty perceiving fricatives in degraded speech. This research tests the ability of 72 Japanese university students to identify fricatives in English words presented in cell phone speech simulated with the AMR-NB codec. Participants were presented with 120 stimuli -- 40 at CD quality speech (44.1 kHz), 40 downsampled to 8.0 kHz, and 40 resembling cell phone speech. There were 20 words, each with a fricative consonant (/s/,/∫/,/f/,/θ/,/z/,/d3/,/v/ or /ð/) in either word-initial or word-final position (e.g., "sick" or "mouse" for /s/). In addition, words were presented in two different contexts: in isolation and embedded in a carrier sentence. Results showed that the ability to correctly identify the fricatives depends not only on signal type, but also on the type of fricative and whether it is located at the beginning or end of the word. We found that voiceless sounds are more often misidentified than voiced sounds, in most contexts and across most signal types. We also found that having the stimulus word appear at the end of a carrier sentence helps perception of the fricative sound in that stimulus. An interesting point is, perceptibility of /θ/ as in "thick" was not significantly better than chance in both types of speech signal (normal and cell phone). It can be presumed that the reason for this is the Japanese language does not contain the sound /θ/. Correlation of perceptibility with duration of voiceless fricatives and perceptibility with mean intensity are also described in this paper to determine what might be affecting the perceptibility rate.
Tic Disorders in Children with Autism Spectrum Disorder

Autistic spectrum disorders are a group of neurodevelopmental disorders characterized by difficulties in eye contact, social interaction and various behavior patterns which are repetitive and stereotypical. The aim of the present study was to study the characteristics of a population of subjects with autism spectrum disorders and tic disorders (n = 96). The Yale Global Tic Severity Scale (YGTSS) was administered to parents who would rate their children in this area. 47 (48.96%) subjects had chronic motor tics while 21 (21.88%) had vocal tics and 11 (11.46%) had features suggestive of Tourette’s syndrome. This is a very simple clinical exploratory study and further large scale prospective studies to address the relationship between tic disorders and autism spectrum disorders are needed.
Relevance-theoretic pragmatics and modularity *

An interesting issue for any mentalist approach to pragmatics is whether the utterance comprehension system is an autonomous processor within the overall cognitive system or consists of processes carried out by an unencapsulated central inferencing system. Two approaches to pragmatics which claim to involve modular subsystems in utterance understanding are discussed (Barton's contextual submodules and Kasher's pragmatic competence systems) and their modularity claims are found to be unwarranted. Then, a recent shift within relevance theory towards a modular view of pragmatics is outlined; some of the evidence supporting it, some of the questions it raises and some of its implications are discussed. 1 Background The essential background to the cognitive approaches to pragmatics considered in this paper is provided by the Chomskyan and the Fodorian views of the mind. Both believe that the mind is, at least partly, composed of distinct, special-purpose, autonomous systems rather than being an homogenous general intelligence and both take strongly nativist views on the development of these systems in the individual. The key Chomskyan concept here is 'competence', in particular linguistic competence, which is conceived of as an autonomous and internally modular system of knowledge, which grows in the mind of every mentally intact human being. More directly, the cognitive account of pragmatics is situated within the Fodorian view of mental architecture as partly modular and partly non-modular. According to this view, modular mechanisms are responsible for processing perceptual input, including linguistic input, and probably
Getting a Kick Out of Numerical Relativity

Recent developments in numerical relativity have made it possible to reliably follow the coalescence of two black holes from near the innermost stable circular orbit to final ringdown. This opens up a wide variety of exciting astrophysical applications of these simulations. Chief among these is the net kick received when two unequal mass or spinning black holes merge. The magnitude of this kick has bearing on the production and growth of supermassive black holes during the epoch of structure formation, and on the retention of black holes in stellar clusters. Here we report the first accurate numerical calculation of this kick, for two nonspinning black holes in a 1.5 : 1 mass ratio, which is expected on the basis of analytic considerations to give a significant fraction of the maximum possible recoil. We have performed multiple runs with different initial separations, orbital angular momenta, resolutions, extraction radii, and gauges. The full range of our kick speeds is 86-116 km s-1, and the most reliable runs give kicks between 86 and 97 km s-1. This is intermediate between the estimates from two recent post-Newtonian analyses and suggests that at redshifts z ≳ 10, halos with masses ≲109 M☉ will have difficulty retaining coalesced black holes after major mergers.
Abnormal heart rate detection device warning via mobile phone network

Heart disease has become the top three deaths for over 20 years, with the mortality of approximately 85,000 cases per year or 236 cases per day. Most are the elderly [1]. Therefore, the objective of this study is to produce an equipment to assist this group of patients. The equipment comprises 3 major components including an electrical signal data receiver from heart with a chest string containing ECG [9] pole. The data will be sent further to a microcontroller for being processed in order to calculate the rate of heartbeat. In case that an abnormal heartbeat is detected, the system will send a warning signal to the patient's physician or relative with a short message service (SMS) via a mobile phone network. With the use of GSM Module from an experiment to find the rate of heartbeat between the device proposed and OMRON SEM-1, a machine for measuring the rate of heartbeat used at a hospital, the experiment has indicated that the average rate of heartbeat measured by the machine proposed has fluctuated for less than 2% compared with that of OMRON SEM-1. Moreover, the system can detect the abnormal rate of heartbeat with 100% accuracy. In addition, the warning signal can be sent to the physician or the relative just in time.
EFT‐C's understanding of couple distress: an overview of evidence from couple and emotion research

Despite the growing body of research on Emotionally Focused Couple Therapy (EFT-C), less research attention has been paid to the validity of EFT-C's description of the relationship dynamics that characterize distressed couples. The current theoretical paper provides a narrative review of evidence from existing emotion and couple research for EFT-C's assumptions on the origin of relationship distress (according to Johnson and to Greenberg and Goldman). Our findings lead to three conclusions: first, the general assumptions outlined by EFT-Cs on need frustration, emotional responses, and interaction patterns are largely supported by the couple and emotion literature. Second, less straightforward evidence was found for the specific elaborations of these principles made by EFT-Cs. Third, a lack of systematic research on EFT-C's assumptions hampers strong conclusions. We suggest future research on this issue with attention toward current insights in the emotion and couple literature. Practitioner points Evidence supports EFT-C's basic assumptions that partners’ unmet needs lead to relationship distress and negative emotions, which give rise to negative interaction cycles between partners Direct empirical evidence is available for attachment-related assumptions, whereas assumptions on identity and attraction/liking needs have been less investigated Some of EFT-C's more specific assumptions need to be more systematically researched
Talresultat hos 16-åringar födda med unilateral läpp-, käk- och gomspalt samt jämförelse mellan erfarna och otränade lyssnares bedömningar

In this study the speech of adolescents with unilateral cleft lip and palate (UCLP) and delayed closure of the hard palate was evaluated. Evaluations were made with experienced speech-language pathologists (SLP:s) and lay listeners. The SLP evaluation consisted of typical cleft palate speech variables and some of them were adapted for lay listeners. Attitudes towards the speech of the adolescents were investigated by asking lay listeners if the speech constituted any hindrance to vocational performance. The SLP:s mainly found nasal escape and velopharyngeal impairment (VPI), although to a small degree and extent. The lay listeners mainly found resonance deviations and indistinct speech. The latter was associated with hindrance to vocational performance. In conclusion the adolescents had few speech deviations, according to the SLP:s. The lay listeners found greater deviations. They had difficulties in defining and distinguishing the speech deviations. Still, lay listeners’ evaluations are considered to constitute a valuable complement to the speech evaluations of SLP:s, in bringing new aspects to what defines acceptable speech.
An Intelligent Agent-Based Routing Scheme Supporting Multiple Mobile Sinks in WSNs

Mobile sink brings new challenges to densely deployed and large wireless sensor networks (WSNs). When the sink moves, frequent location updates from the sink can generate excessive power consumption of sensors. In this paper, we propose IAR, an Intelligent Agent-based Routing protocol that provides efficient data delivery to mobile sink. Proposed algorithm reduces signal overhead and improve degraded route called triangular routing problem. We have evaluated IAR performance through both mathematical analysis and simulation experiments. The results show that our scheme effectively supports sink mobility with low overhead and the improvement of triangular routing problem.
ACT1: Courseware Authoring Technology

This project focuses on a technology infrastructure that supports the design of adaptive, web-based learning experiences, the integration of learning materials with those designs, the instrumented enactment of the designs with learners, and reflection by educators on the designs using the collected instrumentation. The principal constituents of this infrastructure are an authoring technology, the Courseware Authoring and Packaging Environment (CAPE) (Howard, 2002), and a web-based delivery platform, the experimental Learning Management System (eLMS) (Howard, 2003).
Efficient Key Management for IOT Owner in the Cloud

IOT (internet of things) owner may not want their sensitive data to be public in the cloud. However, the client operated by IOT owner may be too lightweight to provide the encryption/decryption service. To remove the issue, we propose a novel solution to minimize the access control cost for IOT owner. First, we present a security model for IOT with minimal cost of IOT owner client without encryption, in which we transfer the encryption/decryption from the client to the cloud. Second, we propose an access control model to minimize the key management cost for IOT owner. Third, we provide an authorization update method to minimize the cost dynamically. In our method, the sensitive data from IOT owner is only available to the authorized user. Each IOT owner needs only to manage a single password, by which the IOT owner can always manage his/her sensitive data and authorization no matter the authorization policy how to change. Experimental results show that our approach significantly outperforms most of existing methods with efficient key management for IOT owner.
Social-cognitive performance and social-communicative adaptation in different groups of the autistic spectrum.

BACKGROUND researches about the relationship between language, cognition and socialization have evolved since the 70s. Language mediates social development allowing the individual to participate in social situations that include balanced communicative exchanges. AIM to assess the effectiveness of the Social-Communicative Adaptation Protocol in two groups of children and adolescents with autistic spectrum disorders and to verify the relationship between the referred protocol and the Social-Cognitive Profile. METHOD participants were 16 children and adolescents with ages between 8.0 and 16.0 years, of both genders, who were diagnosed within the autistic spectrum by neurologists and/or psychiatrists. All participants were receiving, once a week, specialized language therapy by a speech-language pathologist for a period of at least six months. Participants were assessed using the Social-cognitive Profile and the Social-Communicative Adaptation questionnaire. RESULTS the analysis of the results indicated absence of significant statistical differences in the Social-Cognitive Profile between the two groups. The Social-Communicative Adaptation demonstrated to be extremely variable among the participants. CONCLUSION this research shows that autistic spectrum children do not have a symmetric and linear development of language, socialization and cognition.
Semantic based trust recommendation system for social networks using virtual groups

Billions of people create trillions of relations through social media each day, but only few of us consider how each click and key press frames relationships that, in aggregate, form a vast social network. Existing social networks recommend friends to users based on their social graphs like mutual friends, which may not be the most appropriate to reflect a user's taste on friend selection in real life. In order to improve the existing methods, this paper propose a semantic based trust recommendation system which recommend trust companion having high similarities in message sharing. Positive and negative approaches towards the shared posts or links can be determined by likes and dislikes and also consider the opinions towards comments. As a result, the semantic based recommendation system maintains virtual group of trust people having similar interest. On line virtual groups are becoming progressively prominent due to the growth of community and social networking sites. The proposed framework is helpful for handling trust peoples in social networks, which is based on a prominence mechanism that captures the connections between the network members(trust user, distrust user), analyzes the semantics of these connections, and provides personalized user recommendations.
Receptor-mediated endocytosis of transferrin and recycling of the transferrin receptor in rat reticulocytes

At 4 degrees C transferrin bound to receptors on the reticulocyte plasma membrane, and at 37 degrees C receptor-mediated endocytosis of transferrin occurred. Uptake at 37 degrees C exceeded binding at 4 degrees C by 2.5-fold and saturated after 20-30 min. During uptake at 37 degrees C, bound transferrin was internalized into a trypsin- resistant space. Trypsinization at 4 degrees C destroyed surface receptors, but with subsequent incubation at 37 degrees C, surface receptors rapidly appeared (albeit in reduced numbers), and uptake occurred at a decreased level. After endocytosis, transferrin was released, apparently intact, into the extracellular space. At 37 degrees C colloidal gold-transferrin (AuTf) clustered in coated pits and then appeared inside various intracellular membrane-bounded compartments. Small vesicles and tubules were labeled after short (5-10 min) incubations at 37 degrees C. Larger multivesicular endosomes became heavily labeled after longer (20-35 min) incubations. Multivesicular endosomes apparently fused with the plasma membrane and released their contents by exocytosis. None of these organelles appeared to be lysosomal in nature, and 98% of intracellular AuTf was localized in acid phosphatase-negative compartments. AuTf, like transferrin, was released with subsequent incubation at 37 degrees C. Freeze-dried and freeze-fractured reticulocytes confirmed the distribution of AuTf in reticulocytes and revealed the presence of clathrin-coated patches amidst the spectrin coating the inner surface of the plasma membrane. These data suggest that transferrin is internalized via coated pits and vesicles and demonstrate that transferrin and its receptor are recycled back to the plasma membrane after endocytosis.
An adaptive Metropolis algorithm

A proper choice of a proposal distribution for Markov chain Monte Carlo methods, for example for the Metropolis-Hastings algorithm, is well known to be a crucial factor for the convergence of the algorithm. In this paper we introduce an adaptive Metropolis (AM) algorithm, where the Gaussian proposal distribution is updated along the process using the full information cumulated so far. Due to the adaptive nature of the process, the AM algorithm is non-Markovian, but we establish here that it has the correct ergodic properties. We also include the results of our numerical tests, which indicate that the AM algorithm competes well with traditional Metropolis-Hastings algorithms, and demonstrate that the AM algorithm is easy to use in practical computation.