Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Development of Educational Platform in Augmented Reality Environment using Gamification to enhance Traditional, Electronic and Lifelong Learning Experience

The advent of technological advances can be used to improve many aspects of everyday life, including education. In order to enhance education in the optimal way, we chose to combine Augmented Reality (AR) and Gamification in the creation of an educational AR book. The proposed subject is Science aimed at children between the ages of 10-12 years old. Users interact with a virtual laboratory and are able to perform experiments and complete challenges in a game format meant to expand and test their knowledge. Using AR and gamification techniques, we aim to deliver a more comprehensive understanding of the subject matter while at the same time engage learners and increase their enjoyment during the educational process.
Budget-Limited Multi-armed Bandit Problem with Dynamic Rewards and Proposed Algorithms

We focus on budget-limited multi-armed bandit (BL-MAB) problems in which an agent's actions are costly and constrained by a fixed budget. The existing BL-MAB problems assume that reward distributions are static. In this paper, we assume that rewards are dynamic since it is much more realistic. For example, the effect of online advertising, which is one real-world application of BL-MAB problems, is dynamic for trends and dates. For dynamic situations we propose two new bandit algorithms: D-KUBE and SW-KUBE. D-KUBE uses discounted rate gamma. SW-KUBE uses scope tau. In our experiments, we compared the existing bandit algorithm with our proposed bandit algorithms. The main contributions of this paper can be described as follows: (1) When the reward distributions are static, KUBE, D-KUBE, and SW-KUBE have almost the same results. (2) When the reward distributions are dynamic, our proposed D-KUBE and SW-KUBE outperform KUBE. (3) The total rewards of the abrupt changes case are better than those of the gradual changes case.
Indoor Self-Localization Using Multiple Magnetic Sensors

This study proposes an indoor self-localization for the estimation of the position and posture of an instrument using multiple magnetic sensors. First, a magnetic map for the localization is efficiently created using multiple sensors and a local positioning device made from an optical sensor and a gyroscope. For the localization estimating trajectories, the measurement error of the local positioning is corrected by matching it with the magnetic map. Our instrument is composed of six magnetic sensors, and the description of the self-localization details is based on the framework of a particle filter. The experimental results show better indoor path trajectories compared with a raw trajectory without map matching. The accuracy of the instrument using various numbers of magnetic sensors for the estimation is also investigated.
A Linked Sensor Data Cube for a 100 Year Homogenised Daily Temperature Dataset

The Australian Bureau of Meteorology (BOM) has recently published a homogenised daily temperature dataset, ACORN-SAT, for the monitoring of climate variability and change in Australia. The dataset employs the latest analysis techniques and takes advantage of newly digitised observational data to provide a daily temperature record over the last 100 years. In this paper, we present a case-study to publish the ACORN-SAT as Linked Data. We use the Semantic Sensor Network ontology to deliver the publicly available metadata about the BOM weather stations and their deployment history as linked data. Additionally, for concepts that are not covered by existing vocabularies, we have developed domain ontologies to define the adjusted aggregate variables and associated parameters for the ACORN-SAT homogenised observation data, the BOM weather stations and the BOM Rainfall districts. We use the RDF Data Cube Vocabulary to publish the originally released tabular time series data and structure it into slices to support multiple views and query endpoints. We further describe how these linked open vocabularies have been used and combined in the context of this project to make this dataset linkable to existing or future linked open data resources. We also discuss the versatility of the new service for the consumers of the ACORNSAT dataset and uncover some issues which are specific to such long term climate data time series. The resulting Linked Sensor Data Cube is now accessible online via a pilot government linked data service built on the Linked Data API at lab.environment. data.gov. au.
Improving Clustering-based Differential Evolution with Chaotic Sequences and New Mutation Operator

Differential evolution (DE) algorithms compose an efficient type of evolutionary algorithm (EA) for the global optimization domain. But DE is not completely free from the problems of slow and/or premature convergence. In this paper, an improving clustering-based differential evolution with chaotic sequences and new mutation operator (CCDE) is proposed for the unconstrained global optimization problems. In CCDE, the population is partitioned into k subsets by a clustering algorithm, and each subset is considered to be the cluster neighborhood. And these cluster centers and chaotic sequences using logistic equation are used to design the new differential evolution mutation operators. This method utilizes the concept of the cluster neighborhood of each population member. The CEC2005 benchmark functions are employed for experimental verification. Experimental results indicate that CCDE is highly competitive compared to the state-of-the-art DE algorithms.
Xwpt: An X-based Web Servers Performance Tool

Our study aims at de ning measures for evaluating the Apache web server, unveil problems, bottlenecks, and propose solutions and modi cations to current settings. It is based on the analysis of the client/server communication model supported by Xwpt. Extensive simulations showed that Xwpt was able to knock down some of its target machines repeatedly. Based on this study, we can summarise the factors that govern web server's stability and service enhancement. This would help us provide a better service, and by improving the resource allocation scheme, build a superior generation of web servers.
Intuition - Based Teaching Mathematics for Engineers

It is suggested to teach Mathematics for engineers based on development of mathematical intuition, thus, combining conceptual and operational approaches. It is proposed to teach main mathematical concepts based on discussion of carefully selected case studies following solving of algorithmically generat- ed problems to help mastering appropriate mathematical tools. The former component helps development of mathematical intui- tion; the latter applies means of adaptive instructional technology to improvement of operational skills. Proposed approach is ap- plied to teaching uniform convergence and to knowledge genera- tion using Computer Science object-oriented methodology.
Rule Optimization for Real-Time Query Service in Software-Defined Internet of Vehicles

Internet of Vehicles (IoV) has recently gained considerable attentions from both industry and research communities since the development of communication technology and smart city. However, a proprietary and closed way of operating hardwares in network equipments slows down the progress of new services deployment and extension in IoV. Moreover, the tightly coupled control and data planes in traditional networks significantly increase the complexity and cost of network management. By proposing a novel architecture, called Software-Defined Internet of Vehicles (SDIV), we adopt the software-defined network (SDN) architecture to address these problems by leveraging its separation of the control plane from the data plane and a uniform way to configure heterogeneous switches. However, the characteristics of IoV introduce the very challenges in rule installation due to the limited size of Flow Tables at OpenFlow-enabled switches which are the main component of SDN. It is necessary to build compact Flow Tables for the scalability of IoV. Accordingly, we develop a rule optimization approach for real-time query service in SDIV. Specifically, we separate wired data plane from wireless data plane and use multicast address in wireless data plane. Furthermore, we introduce a destination-driven model in wired data plane for reducing the number of rules at switches. Experiments show that our rule optimization strategy reduces the number of rules while keeping the performance of data transmission.
From Dichotomy to Ambidexterity: Transcending Traditions in Software Management

Despite documented best practices and specialized tools, managers continue to face major challenges in software development. While managers are traditionally advised to choose between plan-driven and agile principles, software organizations increasingly face situations in which they need to take advantage of both. There is, however, limited actionable advice on how managers can shape the organizational context to develop such capability. We therefore combine theory on ambidexterity and contextualist inquiry to report from a two-year action research study at TelSoft. As a result, we propose a model for how software organizations can become ambidextrous through the processes of diagnosing, visioning, intervening, and practicing and discuss the implications for research and practice into software management.
A Common Genetic Origin for Early Farmers from Mediterranean Cardial and Central European LBK Cultures

The spread of farming out of the Balkans and into the rest of Europe followed two distinct routes: An initial expansion represented by the Impressa and Cardial traditions, which followed the Northern Mediterranean coastline; and another expansion represented by the LBK (Linearbandkeramik) tradition, which followed the Danube River into Central Europe. Although genomic data now exist from samples representing the second migration, such data have yet to be successfully generated from the initial Mediterranean migration. To address this, we generated the complete genome of a 7,400-year-old Cardial individual (CB13) from Cova Bonica in Vallirana (Barcelona), as well as partial nuclear data from five others excavated from different sites in Spain and Portugal. CB13 clusters with all previously sequenced early European farmers and modern-day Sardinians. Furthermore, our analyses suggest that both Cardial and LBK peoples derived from a common ancient population located in or around the Balkan Peninsula. The Iberian Cardial genome also carries a discernible hunter–gatherer genetic signature that likely was not acquired by admixture with local Iberian foragers. Our results indicate that retrieving ancient genomes from similarly warm Mediterranean environments such as the Near East is technically feasible.
Interconnection of Multiple Communication Modes in Long-Distance Dating Relationships

Employing the communicative interdependence perspective (CIP), the current study examined the interconnection and transition between technologically mediated communication (TMC) and face-to-face (FtF) communication in long-distance dating relationships (LDDRs). College students in LDDRs (N = 200) completed an online survey. Results showed that segmentation to TMC was negatively associated with relational closeness and relationship satisfaction. Difficulty transitioning between TMC and FtF communication was negatively associated with relationship satisfaction. Further, LDDR partners’ FtF communication frequency moderated the associations between segmentation to TMC and the two relational markers. Findings’ implications for relational maintenance in LDDRs and CIP are discussed.
FGFFQ : A Scalable Real-Time Packet Scheduling Technique forTerabit

Weighted Fair Queuing (WFQ) is a packet scheduling technique that has been proposed and is currently used in modern network routers to provide end-to-end delay and bandwidth guarantees. Unfortunately the scalability of existing WFQ implementation techniques in large-scale backbone routers is relatively poor. Various approximation techniques have been proposed to improve WFQ's scheduling eeciency at the expense of looser performance bounds. This paper describes a packet scheduling technique called Fixed-Granularity Fluid Fair Queuing (FGFFQ), which is shown analytically and empirically to be more scalable than WFQ. The key idea in FGFFQ is to transparently add a simple and eecient multiplexing/demultiplexing mechanism above existing link-layer protocols so that network-layer packets do not have to be travel on network links in contiguous pieces. FGFFQ not only can completely eliminate WFQ's packet priority calculation and sorting overhead, but also can approximate the uid fair queuing model by choosing appropriate scheduling granularities. In addition, the scheduling model of FGFFQ supports both work-conserving and non-work-conserving disciplines and can accommodate low-latency and low-bandwidth real-time connections such as Internet telephony applications without wasting network bandwidth resources.
Stabilizing the XP Process Using Specialized Tools

One problem with the XP development process is its fragility. If developers use the XP techniques in an unintended way or not at all, the XP process is likely to break down: The misused techniques affect the other XP techniques in a negative way, breaking the whole process. We believe that it is possible to stabilize the XP process using specialized artifacts to reify the XP techniques. We discuss the reification of the XP technique Continuous Integration using the JWAM IntegrationServer as an example. We present our experience with this tool and analyze its effects on the other XP techniques.
Effects of denervation and fasting on white adipose tissue.

Effm of CANTU, ROBERT C. , AND I-I. MAURICE GOODMAN . deneruution and fasting on white adipose tissue. Am. J. Physiol. 212(I): 207-212. 1g67. -After a 48-hr fast, the denervated lumbar fat body in the rat was found to be 2075 heavier than the contralateral, intact depot. No such asymmetry was seen in normal, fed, or fasting rats or in fed rats studied 2 weeks postoperatively. The disparity in tissue weight in fasting, operated animals was equivalent to approximately I 0% of the fat mobilized and was abolished by treatment with reserpine. Denervation did not prevent the in vivo increase in tissue FFA concentrations which resulted from fasting+ No differences in FFA and glycerol production in vitro were found to result from denervation. Fasting increased lipolysis and decreased lipogenesis to a comparable extent in both innervated and denervated tissues studied in vitro. No supersensitivity to the lipolytic action of epinephrine was seen 2 weeks after denervation. These observations suggest that the sympathetic nerves do not directly increase lipolysis during fasting in the rat. It is suggested that the effects of denervation may be secondary to changes in blood flow.
Acute and Sustained Effects of Cognitive Emotion Regulation in Major Depression

Dysfunctional regulation of mood and emotion is a key component of major depressive disorder and leads to sustained negative feelings. Using functional MRI (fMRI), we investigated the temporal dynamics of emotion regulation in patients with major depressive disorder and in healthy controls, testing for acute and sustained neural effects of active emotion regulation. Moderately depressed individuals (n = 17) and never-depressed healthy control subjects (n = 17) underwent fMRI during performance of an active cognitive emotion regulation task while viewing emotionally arousing pictures. In a second task, completed 15 min later, subjects were presented with the same stimuli in a passive viewing task. Whole-brain analyses and connectivity measures were used to determine acute and sustained effects of emotion regulation on brain activation and coupling between regions. On the group level, patients were able to downregulate negative emotions and corresponding amygdala activation, but this ability decreased with increasing symptom severity. Moreover, only healthy control subjects showed a sustained regulation effect in the amygdala after a 15 min delay, whereas depressed patients did not. Finally, patients exhibited diminished prefrontal activation and reduced prefrontolimbic coupling during active regulation. Although emotion regulation capacity in medicated depressive patients appears to be preserved depending on symptom severity, the effect is not sustained. Correlational analyses provide evidence that this diminished sustained-regulation effect might be related to reduced prefrontal activation during regulation.
Effect of Hypochlorite-Based Disinfectants on Inactivation of Murine Norovirus and Attempt to Eliminate or Prevent Infection in Mice by Additionto Drinking Water

We evaluated the in vitro efficacy of weak acid hypochlorous solution (WAHS) against murine norovirus (MNV) by plaque assay and compared the efficacy with diluted NaOCl (Purelox) and 70% ethanol. WAHS was as effective as 70% ethanol and diluted Purelox for 0.5-min reactions. For 0.5-min reactions in the presence of mouse feces emulsion, the efficacy of WHAS and 1:600 diluted Purelox was decreased, reducing the virus titers by 2.3 and 2.6 log10, respectively, while 70% ethanol reduced the titer by more than 5 log10. However, WAHS showed more than 5 log10 reductions for the 5-min reaction even in the presence of feces emulsion. Since WAHS showed enough efficacy in inactivating MNV in vitro, we tried to eliminate MNV from MNV-infected mice by substituting WAHS for their drinking water. However, MNV was found to be positive in feces of mice drinking WAHS by an RT-nested PCR and plaque assay. To investigate whether hypochlorite-based disinfectants could prevent infection of a mouse with MNV, WAHS or 1:6,000 diluted Purelox was substituted for the drinking water of mice for 2 or 4 weeks, and then the mice were placed in a cage with an MNV-infected mouse. The supply of disinfectants was continued after cohabitation, but MNV was detected in the feces of all the mice at 1 week after cohabitation. In this study, we tried to eliminate and prevent MNV infection from mice by supplying hypochlorite-based disinfectants as an easy and low-cost method. Unfortunately, drinking disinfectants was ineffective, so it is important to keep the facility environment clean by use of effective disinfectants. Also, animals introduced into facilities should be tested as MNV free by quarantine and periodically confirmed as MNV free by microbiological monitoring.
Using a Semantic MediaWiki to Interact with a Knowledge Based Infrustructure

Facilitating knowledge acquisition is a task that usually requires special purpose interfaces with which users are not familiar. Providing effective acquisition through a familiar interface, such as a wiki, can provide a route to acquiring knowledge for low user investment. We present an architecture that is being used in the ReSIST project based on a Semantic MediaWiki integrated with a knowledge base that allows users to add and view knowledge using normal Semantic MediaWiki syntax. The architecture aims to facilitate the acquisition and representation of knowledge about resilient systems for users with no experience of knowledge technologies.
A Shallow Approach To Syntactic Feature Extraction For Genre Classification

In this paper, the shallow and computationally inexpensive approach to syntax suggested by Argamon et al. (1998) is explored, enhanced and applied to ten different genres included in the BNC. Their approach to syntax uses POS trigrams. The rationale behind this choice is that trigrams are large enough to encode useful syntactic information, and small enough to be computationally manageable. The sets of experiments described in this paper show that features representing syntactic structure have strong discriminating power. Results are extremely encouraging and deserve further investigations.
Coding Issues in AspectJ

AOP [1] has been proposed as a way to write programs that elegantly implement crosscutting concerns. This paper presents initial results of an exploration into whether this is true for AspectJ [2]. During this this exploration we have written several small and medium scale systems using AspectJ. Writing elegant code requires good implementation structure. This paper presents some of the more interesting coding style decisions we encountered. We present different approaches to implementing several crosscutting concerns and comment on the relative strengths and weaknesses of each approach. The purpose of the paper is to share our practical experience of using an AOP language to give workshop participants a sense of what it is like to use AOP and in particular the design issues one faces when trying to write elegant code with AspectJ. We offer this information to support a well-grounded discussion of the strengths and weaknesses of AOP, and the challenges facing AOP researchers. The paper assumes that the reader can read Java programs, and has basic familiarity with AOP.
Intuitive interaction for robotic grasping

To explore an intuitive human-robot interface for service robots, this work develops effective and user-friendly approaches which combine the real time remote vision-based teleoperation and autonomous grasping. In the first approach, hand gestures are identified and used to activate autonomy, which can reduce grasping time and provide more natural grasping poses. A potential energy algorithm is introduced to assist grasping during teleoperation in another approach. This allows us to perform online adjustments to reach a pre-grasp pose without requiring premature object contact or regrasping strategies.
The SPL-IT-UC Query by Example Search on Speech system for MediaEval 2015

This document describes the system built by the SPL-IT-UC team from the Signal Processing Lab of Instituto de Telecomunicações (pole of Coimbra) and University of Coimbra for the Query by Example Search on Speech Task (QUESST) of MediaEval 2015. The submitted system filters considerable background noise by applying spectral subtraction, uses five phonetic recognizers from which posterior probabilities are extracted as features, implements novel modifications of Dynamic Time Warping (DTW) that focus on complex queries, and uses linear calibration and fusion to optimize results. This year’s task proved extra challenging in terms of acoustic conditions and match cases, though we observe the best results when merging all complex approaches.
Visual Modules for Head Gesture Analysis in Intelligent Vehicle Systems

In this paper a coarse-to-fine system framework for analyzing the head gesture is presented. We discuss several important modules from computer vision aspects, including the pose-invariant face detection, face tracking, pose determination and high-resolution image reconstruction for eye pupils detection. Visual cues using intensity images obtained from in-car cameras are explored. A pose-invariant face detection algorithm is used to get the initial face area; afterwards face tracking and validation step is proposed to segment the face region for pose determination. The algorithm is tested on the drivers images under natural driving conditions. Experimental results show that the algorithm is robust to the head pose changes as well as the illumination changes. In this system framework, we propose that when coarse analysis utilizing the head pose alone is not sufficient for driver's behavior analysis, a finer analysis based on the eye gaze tracking is used, which requires images with sufficient resolution. A novel super-resolution reconstruction algorithm is proposed to help reveal more facial details, so as to facilitate the pupil detection. Experiment on the synthesis data shows the effectiveness of the super-resolution reconstruction algorithm