Miracle-dz/UniFAR-FTUs huggingface dataset:
CCM-R: Secure Counter Synchronization for IoT Wireless Link

—In this paper we propose and evaluate a new version of the CCM mode of operation, CCM-R, which is an extended and alternate version of the original CBC-MAC with Counter Mode(CCM) that was created to address the problem of counter synchronization. While CCM is considered secure when used/implemented correctly, it is still vulnerable to Denial of Service (DoS) attacks where packages in the stream are removed or modiﬁed with the purpose of destabilizing the synchronization of the counter states. Another possible way it can be destabilised is through random loss of packets due to noise or weak signals on wireless link. Therefore, in order to solve this problem, we have proposed a solution where we have embedded a secure counter synchronization approach into the original CCM mode of operation. The approach makes it immune to package loss and DoS attacks. The overhead is also kept at a minimum, making it suitable for low-power wireless IoT devices.
The assessment of neuromuscular fatigue during 120 minutes of simulated soccer exercise

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Feature Subset Selection using Cascaded GA and CFS: A Filter Approach in Supervised Learning

edical data mining has enormous potential for exploring the hidden patterns in the data sets of the medical domain. These patterns can be utilized by the physicians to improve clinical diagnosis. Feature subset selection is one of data preprocessing step, which is of immense importance in the field of data mining. As a part of feature subset selection step of data preprocessing, a filter approach with genetic algorithm (GA) and Correlation based feature selection has been used in a cascaded fashion. GA rendered global search of attributes with fitness evaluation effected by CFS. Experimental results signify that the feature subset recognized by the proposed filter GA+CFS, when given as input to five classifiers, namely decision tree, Naive Bayes, Bayesian, Radial basis function and k-nearest neighbor classifiers showed enhanced classification accuracy. Experiments have been carried out on four medical data sets publicly available at UCI.
A Spatial Multi-Criteria Decision Making Model for Coastal Land Use Planning

Modern planning theories encourage approaches that consider different stakeholders with a variety of discourse types and values to minimise politically motivated and single interest dominated decisions. Quantitative approaches such as Multi-criteria Decision Making (MCDM) techniques combined with GIS have been applied successfully in a number of land suitability analysis and environmental planning and management scenarios. The use of spatial MCDM techniques can improve the transparency and analytic rigor of the future land use decisions. In the last decade, applications of the MCDM techniques in GIS-based land suitability procedures have increased, however, applying these techniques at large-scale planning processes is rare. This highlights the need for examining how quantitative approaches such as MCDM techniques can integrate and therefore improve local planning and decision-making outcomes. This study is considered to be the first that by using a realistic and detailed set of criteria and group decision making, compares two MCDM techniques (analytical hierarchy procedure (AHP) Fuzzy AHP) in defining the extent of land-use zones at a large scale in Australia. The presented approach is particularly helpful in situation where local decision-makers are left with considerable room for discretion during the political transitions. Consequently, this research examines the application of MCDM methods in local land use planning for a 17,500 ha area, controlled by four local government areas (LGAs) in the northeast Gold Coast, located in southeast Queensland, Australia.
Non-linear Sea Level Variations in the South China Sea from Satellite Altimetry and Tide Gauges

Non-linear sea level trend in the South China Sea (SCS) was investigated by means of satellite altimetry and tide gauge data over 24 years period from 1993 to 2016. GIA corrections and inverted barometer corrections were applied to the satellite and tide gauge data, and the monthly sea level anomalies (MSLAs) were compared between each other in details. Thirty tide gauges located in the SCS are in good agreement with satellite-derived results, with RMSDs ranging between 0.85 and 9.92 cm and correlation coefficients were more than 0.70 for 85.71% of stations. Non-linear sea level trend of observations during period of 19932016 was analysed by empirical mode decomposition, the sea level rise rate derived from satellite altimetry and tide gauge data are 4.29 ± 0.29 and 3.93 ± 0.12 mm/year, respectively.
MATCH : An Architecture for Multimodal Dialogue Systems

Interfaces for mobile information access need to allow users to dynamically adapt their choice of modes according to their preferences, task at hand, and physical and social environment. This paper describes a multimodal application architecture that facilitates rapid prototyping of multimodal interfaces with flexible input and adaptive output. Our testbed application MATCH (Multimodal Access To City Help) provides a mobile multimodal speech-pen interface to restaurant and subway information for New York City. Finite-state methods for multimodal language understanding are employed to enable users to interact using pen, speech, or dynamic combinations of the two. A speech-act based multimodal dialogue manager provides support for mixed-initiative multimodal dialogue. Multimodal generation and text planning components enable the system to respond using synchronized multimodal presentations that combine dynamic graphics with text-to-speech and are tailored to the user’s individual preferences. The development of this architecture is driven by ongoing scenario-based evaluation and data collection with users. MATCH: An Architecture for Multimodal Dialogue Systems
Development of an Interactive Kiosk with Screen Amplifier for the Elderly and Those with Low Vision

The World Health Organization (WHO) has estimated that in 2006 almost 37 million people were blind and 124 million had some type of visual disability, a number that is growing year by year. In order to ensure social inclusion of these people, governments of different countries have been investing heavily in public policies that allow the development of suitable technological solutions. In this context, computers are the key solutions with their general and application-specific software that include, among others, educational, office, e-commerce and e-banking applications. However, despite the advances already made, we are still far from the ideal situation. An example is the automated teller machine (ATM) that, with captions and images of reduced size, does not satisfy the needs of the visually disabled or the elderly. For both, as glasses are not completely useful, the reading of a simple text may be turned into an almost impossible activity. Thus, this paper presents a proposal for an interactive kiosk with multisensory resources, especially for people with low vision or the elderly. This solution exploits visual, auditory and tactile feedback and provides an integrated and accessible service using a totem of self-service.
Repérer automatiquement les segments obsolescents à l’aide d’indices sémantiques et discursifs

Cet article vise la description et le repérage automatique des segments d’obsolescence dans les documents de type encyclopédique. Nous supposons que des indices sémantiques et discursifs peuvent permettre le repérage de tels segments. Pour ce faire, nous travaillons sur un corpus annoté manuellement par des experts sur lequel nous projetons des indices repérés automatiquement. Les techniques statistiques de base ne permettent pas d’expliquer ce phénomène complexe. Nous proposons l’utilisation de techniques de fouille de données pour le caractériser et nous évaluons le pouvoir prédictif de nos indices. Nous montrons, à l’aide de techniques de classification supervisée et de calcul de l’aire sous la courbe ROC, que nos hypothèses sont pertinentes.
The \Casual Cashmere Diaper Bag": Constraining Speech Recognition Using Examples

We describe a new technology for using small collections of example sentences to automatically restrict a speech recognition grammar to allow only the more plausible subset of the sentences it would otherwise admit. This technology is unusual because it bridges the gap between hand-built grammars (used with no training data) and statistical approaches (which require significant data).
Capacity Realization in Stochastic Batch-Processing Networks Using Discrete-Review Policies

We present diÆculties with realizing the capacity of queueing networks with batch servers under well known scheduling disciplines. We introduce a family of scheduling policies called discrete-review policies, which not only guarantee capacity realization for queueing networks with batch servers, but also contain among them policies that allow us to realize desired behavior on \ uid" scale, including asymptotically optimal policies. In this family of policies system status is reviewed at discrete points in time, and at each such point the controller formulates a processing plan for the next review period, based on the queue length vector observed, which is then executed in open-loop fashion. We outline a proof of capacity realization for every policy in this family, and provide results of simulation studies that establish the usefulness of the proposed family of policies.
Discrete minimum distortion correspondence problems for non-rigid shape matching

Similarity and correspondence are two fundamental archetype problems in shape analysis, encountered in numerous application in computer vision and pattern recognition. Many methods for shape similarity and correspondence boil down to the minimum-distortion correspondence problem, in which two shapes are endowed with certain structure, and one attempts to find the matching with smallest structure distortion between them. Defining structures invariant to some class of shape transformations results in an invariant minimum-distortion correspondence or similarity. In this paper, we model shapes using local and global structures and formulate the invariant correspondence problem as binary graph labeling. We perform challenging non-rigid shape matching experiments, and show how different choice of structure results in invariance under various classes of deformations. Key-words: shape recognition, shape similarity, Gromov-Hausdorff metric ∗ Laboratoire de Mathématiques Appliquées aux Systèmes, École Centrale de Paris, France † Equipe GALEN, INRIA Saclay Île de France, Orsay, France ‡ Department of Computer Science, Technion – Israel Institute of Technology in ria -0 04 98 59 1, v er si on 1 7 Ju l 2 01 0 Problèmes discret de correspondance de distorsion minimale pour le recalage de formes déformables Résumé : La similarité et la correspondance sont deux problèmes archetypaux fondamentaux dans le cardre de l’analyse de formes, rencontrés dans de nombreuses applications en vision par ordinateur et reconnaissance de formes. De nombreuses méthodes approchant la similarité et la correspondance se resument à un problème de correspondance de distorsion minimale, dans lequel deux formes sont dotées d’une certaine structure, la correspondance avec distorsion structurelle minimale est alors recherchée. La définition de structures invariantes dans certaines classes de tranformations de formes aboutit à une correspondance ou à une similarité de distorsion minimale invariante. Dans ce rapport, nous modélisons des formes en utilisant des structures locales et globales, et nous formulons le problème de correspondance invariante sous forme de graphe binaire. Nous effectuons une série d’expériences ambitieuses sur la correspondance de formes déformables, et nous montrons comment les différents choix de structure aboutissent à l’invariance sous différentes classes de déformations. Mots-clés : reconaissance de formes, similarité des formes, distance de GromovHausdorff in ria -0 04 98 59 1, v er si on 1 7 Ju l 2 01 0 Minimum distortion correspondence problems for shape matching 3
Measurement of e-service quality: An empirical study on online travel service

: Information communication technologies (ICTs) have significantly revolutionized travel industry in the last decade. With an increasing number of travel companies participating in the Internet market, low price has become a minimum qualification to compete in the Internet market. As a result, e service quality is becoming even more critical for companies to retain and attract customers in the digital age. This study focuses on e service quality dimensions in the Internet market with an empirical study on online travel service. The purpose of this study is to develop a scale to evaluate e service quality from the perspectives of both online companies and customers, which provides fresh insight into the dimensions of e service quality. The results in this study indicate that trust from the perspective of customer and ease of use from the perspective of online company are the most critical and important facets in customers’ perception of online travel service quality, while reliability, system availability and responsiveness have influence on customer’s perception of online travel service quality as well, but the influence is not so strong as that of trust and ease of use. Online travel service companies should pay attention to the facets of reliability, system availability and responsiveness while focusing on the facets of ease of use and trust in order to improve their online travel service quality to customers.
Performance Evaluation of the Wireless Inertial Measurement Unit WB-4 with Magnetic Field Calibration

This paper presents the performance evaluation of our wireless miniature Inertial Measurement Unit (IMU) WB-4 by compared with the Vicon motion capture system. In particular, a magnetic field calibration method is introduced to improve the sensor orientation estimate accuracy. The WB-4 IMU primarily contains a motherboard for motion sensing, a Bluetooth module for wireless data transmission with PC, and a Li-Polymer battery for power supply. The motherboard is provided with a 32-bit microcontroller and 3-axis miniaturized MEMS accelerometer, 3-axis gyroscope and 3-axis magnetometer to estimate the sensor orientation based on an extended Kalman filter algorithm. In our previous research of WB-4 IMU performance evaluation, the factory calibration parameters of the magnetometer were used for the sensor fusion, which resulted in a higher error on the yaw angle in respect to roll and pitch. This study presents a magnetic calibration method for overcoming that limitation. The experimental results showed that the wireless WB-4 IMU could achieve better orientation performance in all the directions after the implementation of the magnetic calibration method. The yaw angle accuracy was significantly improved from previous error 5.46 degree to 1.77 degree.
PMD: An Optimal Transportation-based User Distance for Recommender Systems.

Collaborative filtering, a widely-used recommendation technique, predicts a user's preference by aggregating the ratings from similar users. As a result, these measures cannot fully utilize the rating information and are not suitable for real world sparse data. To solve these issues, we propose a novel user distance measure named Preference Mover's Distance (PMD) which makes full use of all ratings made by each user. Our proposed PMD can properly measure the distance between a pair of users even if they have no co-rated items. We show that this measure can be cast as an instance of the Earth Mover's Distance, a well-studied transportation problem for which several highly efficient solvers have been developed. Experimental results show that PMD can help achieve superior recommendation accuracy than state-of-the-art methods, especially when training data is very sparse.
COREFDRAW: a tool for annotation and visualization of coreference data

In Natural Language Processing, coreference resolution involves finding antecedents of referential expressions (e.g. pronouns or some definite nominals). The resolution of coreference depends on a combination of salience, syntactic, semantic and discourse constraints. The acquisition of such knowledge is difficult and could certainly benefit from a visualization tool, enabling the linguist researcher to find examples of coreference relations. Furthermore, an alternative knowledge-minimalist technique for resolving coreference can be developed by relying on text corpora annotated with coreference data. In this paper we present COREFDRAW, a tool that enables both the annotation of coreference data and its visualization from large text corpora. The resulting annotations enable enhanced coreference resolution methods.
What’s in a Span? Evaluating the Creativity of a Span-Based Neural Constituency Parser

Constituency parsing is generally evaluated superficially, particularly in a multiple language setting, with only F-scores being reported. As new state-of-the-art chart-based parsers have resulted in a transition from traditional PCFG-based grammars to span-based approaches (Stern et al., 2017; Gaddy et al., 2018), we do not have a good understanding of how such fundamentally different approaches interact with various treebanks as results show improvements across treebanks (Kitaev and Klein, 2018), but it is unclear what influence annotation schemes have on various treebank performance (Kitaev et al., 2019). In particular, a span-based parser’s capability of creating novel rules is an unknown factor. We perform an analysis of how span-based parsing performs across 11 treebanks in order to examine the overall behavior of this parsing approach and the effect of the treebanks’ specific annotations on results. We find that the parser tends to prefer flatter trees, but the approach works well because it is robust enough to adapt to differences in annotation schemes across treebanks and languages.
Analysis of the Contribution Rate of Climate Change and Anthropogenic Activity to Runoff Variation in Nenjiang Basin, China

The Pettitt abrupt change test method based on ArcGIS was used to undertake change-point analysis on climatic (precipitation and potential evapotranspiration; 39 meteorological stations) and runoff data (27 hydrological stations) from 1954–2015 in the Nenjiang basin. The hydrological sensitivity analysis method was also used to calculate the influential component of climate change upstream, mid-stream, and downstream of the Nenjiang basin, as well as the effect of anthropogenic activities on runoff. Our results show that the upstream area has the highest contribution rate of climate change, followed by the mid-stream area; the downstream area has the lowest contribution rate. Studying climate change contribution rates in various sites in the Nenjiang basin, in addition to anthropogenic activities affecting runoff, can provide the foundation for the protection and utilization of basin water resources, as well as the conservation and restoration of wetlands.
. ) Ontology of Multimodal Discourse Ontology Programming Interface ( OPI ) OPI Generator Audiovisual Toolkit Feature Extractor Annotate ! Feature Visualizer Meeting BrowserComparison Tool KronoBase Persistent Triple Store

We present a set of annotations of hierarchical topic segmentations andaction item subdialoguescollected over 65 meetings from the ICSI and ISL meeting corpora, designed to support automatic meeting understanding and analysis. We describe an architecture for representing, annotating, and analyzing multi-party discourse, including: an ontology of multimodal discourse, a programming interface for that ontology, and an audiovisual toolkit which facilitates browsing and annotating discourse, as well as visualizing and adjusting features for machine learning tasks.
Evaluating the Impact of Pre-clustering and Class Imbalance on Solar Flare Forecasting

Among the phenomena that occur on the surface of the Sun, solar flares may cause several damages, from short circuits in power transmission lines to complete interruptions in telecommunications systems. In order to mitigate these effects, many works have been dedicated to the proposal of mechanisms capable of predicting the occurrence of solar flares. In this context, the present work sought to evaluate two aspects related to machine learning-based solar flare forecasting: (i) the impact of class imbalance in training datasets on the performance of the predictors; and (ii) whether the incorporation of a pre-clustering step prior to the classifiers training contributes to a better prediction.
Understanding Trapping as a Tool to Manage Pocket Gophers

Author(s): Baldwin, Roger A. ; Orloff, Steve B. | Abstract: The pocket gopher is one of the most damaging vertebrate pests in California and throughout much of North American. Many options are available for managing pocket gophers including the use of rodenticides, burrow fumigation, and trapping. Trapping can be time consuming and labor intensive in some situations, but the efficacy of this approach can often offset these negative attributes. As such, we have engaged in several research projects over the last 5 years to increase the utility and effectiveness of trapping as part of an Integrated Pest Management (IPM) program for pocket gopher control. When comparing traps, we found that the Gophinator trap was a more effective trap than the Macabee, particularly when trapping larger pocket gophers. There does not appear to be a substantial benefit to covering trap-sets in most situations, but if trapping when temperatures are high, covering trap-sets may provide a slight increase in capture efficiency. If covering trap-sets, utilizing peanut butter might provide a slight increase in capture success; attractants provide no benefit if using uncovered trap-sets. Trapping was a highly effective technique for managing pocket gopher populations in crop fields. Furthermore, only 3 days were required for novice trappers to become efficient at capturing pocket gophers, although additional experience does increase the rate of capture. Collectively, these results validate the importance of including trapping in an IPM program, and should benefit all individuals who utilize trapping for managing pocket gopher populations.