Miracle-dz/UniFAR-FTUs huggingface dataset:
TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change

Massive and redundant vehicle trajectory data are continuously sent to the data center via vehicle-mounted GPS devices, causing a number of sustainable issues, such as storage, communication, and computation. Online trajectory compression becomes a promising way to alleviate these issues. In this paper, we present an online trajectory compression framework running under the mobile environment. The framework consists of two phases, i.e., online trajectory mapping and trajectory compression. In the phase of online trajectory mapping, we develop a light-weighted yet efficient map matcher, namely, Spatial-Directional Matching (SD-Matching), to align the noisy and sparse GPS points upon the underlying road network, which fully explores the usage of vehicle heading direction collected from the GPS trajectory data. In the phase of online trajectory compression, we propose a novel compressor based on the heading change at intersections, namely, Heading Change Compression (HCC), aiming at finding a concise and compact trajectory representation. Finally, we conduct experiments to evaluate the effectiveness and efficiency of the proposed framework using real-world datasets in the city of Beijing, China. We further deploy the system in the real world in the city of Chongqing, China. The experimental results demonstrate that: 1) the SD-Matching algorithm achieves a higher mean accuracy but consumes less time than the state-of-the-art algorithm, namely, Spatial-Temporal Matching (ST-Matching) and 2) the HCC algorithm also outperforms baselines in trading-off compression ratio and computation time.
A novel approach for mining emerging patterns in data streams

Streaming data mining is one of the most difficult tasks in knowledge discovery in databases (KDD). This task is essential in many applications such as financial applications, network monitoring, marketing and others. In this model, data arrives in multiple, continuous, rapid, time-varying data streams. These characteristics make it infeasible for traditional mining techniques to deal with data streams. In this paper, we propose a new approach for mining emerging patterns [EPs] in streaming data. EPs are those itemsets whose frequencies in one class are significantly higher than their frequencies in the other classes. We experimentally prove that our new method for mining EPs has an excellent impact on the process of classifying data streams.
Using Participant Role in Multiparty Meetings as Prior Knowledge for Nonparametric Topic Modeling

In this paper we introduce our attempts to incorporate the participant role information in multiparty meetings for document modeling using the hierarchical Dirichlet process. The perplexity and automatic speech recognition results demonstrate that the participant role information is a promising prior knowledge source to be combined with language models for automatic speech recognition and interaction modeling for multiparty meetings.
Independent Component Approach for the Analysis of ECG Signals

Automated analysis of electrocardiogram (ECG) has got great attention for cardiac diagnosis in the recent years. This paper describes two different ECG analysis algorithms using Independent Component Analysis (ICA) algorithm. ICA refers to set of algorithms for blind source separation (BSS). The underlying principle is to separate N signals from a mix of different source contributions, into signals of independent components. The simulation is proposed to be done in MATLAB.
euTV: a system for media monitoring and publishing

In this paper, we describe the euTV system, which provides a flexible approach to collect, manage, annotate and publish collections of images, videos and textual documents. The system is based on a Service Oriented Architecture that allows to combine and orchestrate a large set of web services for automatic and manual annotation, retrieval, browsing, ingestion and authoring of multimedia sources. euTV tools have been used to create several publicly available vertical applications, addressing different use cases. Positive results of user evaluations have shown that the system can be effectively used to create different types of applications.
New Digital Architecture of CNN for Pattern Recognition

New Digital Architecture of CNN for Pattern Recognition The paper deals with the design of a new digital CNN (Cellular Neural Network) architecture for pattern recognition. The main parameters of the new design were the area consumption of the chip and the speed of calculation in one iteration. The CNN was designed as a digital synchronous circuit. The largest area of the chip belongs to the multiplication unit. In the new architecture we replaced the parallel multiplication unit by a simple AND gate performing serial multiplication. The natural property of this method of multiplication is rounding. We verified some basic properties of the proposed CNN such as edge detection, filling of the edges and noise removing. At the end we compared the designed network with other two CNNs. The new architecture allows to save till 86% gates in comparison with CNN with parallel multipliers.
Avaliação do nível de inovação tecnológica: desenvolvimento e teste de uma metodologia

Esta pesquisa teve como finalidade principal desenvolver e testar uma metodologia capaz de avaliar o nivel de inovacao tecnologica existente nas organizacoes. A metodologia foi desenvolvida e posteriormente validada atraves de um teste realizado em 05 (cinco) empresas industriais manufatureiras as quais encontram-se entre as maiores em nivel de faturamento da cidade de Ponta Grossa, Parana, segundo dados fornecidos pela Federacao das Industrias do Estado do Parana (FIEP) em sua unidade regional. Os resultados da pesquisa mostraram ser possivel avaliar o nivel de inovacao tecnologica nas empresas atraves da metodologia desenvolvida, tendo a mesma apresentado um alto nivel de eficiencia, eficacia e versatilidade. Como resultados secundarios a pesquisa mostrou que as empresas mais inovadoras da regiao tambem sao as que possuem um maior nivel de faturamento.
Collision Avoidance and Path Finding in 2-D Environments 1

Collision avoidance is useful in a wide range of applications including artificial intelligence, autonomous vehicle navigation, robotics, behavioral simulation, and video games. This paper explores techniques for achieving realistic collision-free movement in a 2-D environment using continuous motion planning. The underlying construct used in this process is a priori information from obstacles within a particle’s vision. This information is used to predict and decide the movement of the particle in order to achieve collision avoidance. A series of actions are executed based on current and predicted information to steer the autonomous particle away from potential collisions. A new method of obstacle merging is presented which allows the particle to make more accurate decisions based on multiple obstacles in its surrounding environment.
Erythrocyte galactose 1-phosphate quantified by isotope-dilution gas chromatography-mass spectrometry.

BACKGROUND Measurements of alpha-D-galactose 1-phosphate (Gal-1-P) in erythrocytes are used to monitor the adequacy of dietary therapy in the treatment of galactosemia. We have devised a gas chromatography-mass spectrometry (GC/MS) isotope-dilution method for quantification of Gal-1-P. METHODS We prepared trimethylsilyl (TMS) derivatives and used alpha-D-[2-(13)C]Gal-1-P as the internal standard for GC/MS. Results obtained with this method were compared with those determined by the established enzymatic method for samples from 23 healthy individuals (11 children and 12 adults), 9 suspected patients with galactosemia, 12 galactosemic patients on diet therapy, and 2 newly diagnosed toxic neonates. RESULTS The method was linear up to 2.5 mmol/L with a lower limit of detection of 2.1 nmol (0.55 mg/L). Intra- and interassay imprecision (CVs) was 2.2-8.8%. In the 23 healthy individuals, values ranged from nondetectable to 9.2 micromol/L (2.4 mg/L of packed erythrocytes). Galactosemic patients on diet therapy had values of 10.9-45 mg/L of packed erythrocytes, whereas the newly identified patients had values of 166 and 373 mg/L. CONCLUSIONS The GC/MS method is precise and useful over the wide range of concentrations needed to assess the galactose burden in patients with galactosemia.
Facial expression recognition in video sequence images by using optical flow

In this paper a new method for facial expression recognition is presented. According to this algorithm, an appropriate mask is designed using Gabor filters, and it is convolved with first frame of video sequence images. Then oval part of face is specified and its main components are characterized. By using Lucas Kanade method for optical flow analysis to determine the motion flow vectors on the regions of main parts during frames largest, motion vectors related to sensitive points of face are extracted and classified to the six basic classes such as: normality, happiness, sadness, anger, disgust, and surprise, facial expression are extracted. This method has high accuracy in comparison with other methods and don't need for select landmark manually at first.
Transmission and Reception of Grey Scale Image Through Rayleigh Channel Using Concatenated STBC and Different Channel Codes

This paper presents transmission and reception of grey scale image through Rayleigh fading channel. Grey scale image is made up of pixel values. These pixel values are represented by decimal values. For transmission these pixel values are obtained using MATLAB and converted into binary bits. Grey Scale image is transmitted through different systems. Firstly it is transmitted through Alamouti Space Time Block Codes (STBC) system, and then it is transmitted through Concatenated Alamouti STBC with Convolution codes, then through Concatenated Alamouti STBC with Hamming codes and through Concatenated Alamouti STBC with Reed- Solomon codes using BPSK modulation. Comparison has been done on the basis of quality of reproduced image in terms of image performance metrics i.e. Quality index (Q-Index) and PSNR (Peak Signal to Noise Ratio) for the different values of SNR for above mentioned Systems. BER (Bit Error Rate) analysis has been done for one transmitter and one receiver, two transmitters and two receivers, two transmitters and two receiver concatenated with different channel codes. The results are presented by plots between BER Vs SNR using Monte Carlo Simulation. It has been observed that in terms of BER performance analysis of proposed system provides better results for Concatenated RS channel codes with STBC than other proposed concatenated channel codes with STBC. In terms of image performance metrics PSNR and Q-Index, simulations results show that the quality of reconstructed image significantly improved for concatenated Reed-Solomon channel codes with STBC.
Intelligent buildings and advanced control techniques Design and Performance of an Image Processing Occupancy Sensor

The design and performance of a novel image-processing occupancy sensor (IPOS) based on production-grade embedded hardware are described. The IPOS overcomes several issues related to traditional passive infrared (PIR) and ultrasonic-based motion sensors. It also provides a rich set of feedback signals that more sophisticated applications can use for occupant-optimized lighting, daylighting, temperature, and ventilation control, as well as with building security systems. The IPOS was tested as part of an integrated system consisting of a building energy management system (EMS) alongside a pair of PIR sensors produced by different manufacturers. IPOS output was fed to the EMS via the building automation and controls network (BACnet) and logged alongside the PIR outputs in an office environment over several days. Tests suggest the IPOS device identifies occupancy events better than two commercial PIR sensors (94.1% accuracy compared to 73.1% on average). Also, IPOS could correctly identify stationary occupants whereas the PIR sensors could not.
The justified user model: A viewable explained user model

This paper describes our experiences with giving users access to the system’s model of them. This access is supported by a number of tools that enable a user to see various forms of information: an overview display serves as a navigation tool as well as a helpful summary; the main model viewer program enables the user to see the detailed model the system holds; the justification part explains the system’s reasoning about the user model; the explanation subsystem provides a tailorable glossary of the terms used in the user model description; and the change facility allows the user to add their view of the correct value of components of the model. We outline the series of studies we have conducted to learn how users respond to our visual displays of a user model. These indicate a new purpose for a user model as a useful communication tool that enables users to find information that interests them as well as to communicate the way that they would like to be modelled. We also discuss some issues that arise from making the user model accessible. These affect the way that the programmer sees their relationship to the user. They also highlight the need to address different interpretations of a user model.
CASCADE AND DAMPING OF ALFVÉN-CYCLOTRON FLUCTUATIONS: APPLICATION TO SOLAR WIND TURBULENCE

It is well recognized that the presence of magnetic fields will lead to anisotropic energy cascade and dissipation of astrophysical turbulence. With the diffusion approximation and linear dissipation rates, we study the cascade and damping of Alfvén-cyclotron fluctuations in solar plasmas numerically for two diagonal diffusion tensors, one (isotropic) with identical components for the parallel and perpendicular directions (with respect to the magnetic field) and one with different components (nonisotropic). It is found that for the isotropic case the steady-state turbulence spectra are nearly isotropic in the inertial range and can be fitted by a single power-law function with a spectral index of −3/2, similar to the Iroshnikov–Kraichnan phenomenology, while for the nonisotropic case the spectra vary greatly with the direction of propagation. The energy fluxes in both cases are much higher in the perpendicular direction than in the parallel direction due to the angular dependence (or inhomogeneity) of the components. In addition, beyond the MHD regime the kinetic effects make the spectrum softer at higher wavenumbers. In the dissipation range the turbulence spectrum cuts off at the wavenumber, where the damping rate becomes comparable to the cascade rate, and the cutoff wavenumber changes with the wave propagation direction. The angle-averaged turbulence spectrum of the isotropic model resembles a broken power law, which cuts off at the maximum of the cutoff wavenumbers or the 4He cyclotron frequency. Taking into account the Doppler effects, the model naturally reproduces the broken power-law turbulence spectra observed in the solar wind and predicts that a higher break frequency always comes along with a softer dissipation range spectrum that may be caused by the increase of the turbulence intensity, the reciprocal of the plasma βp, and/or the angle between the solar wind velocity and the mean magnetic field. These predictions can be tested by detailed comparisons with more accurate observations.
The Effectiveness of Emotion-focused Group Therapy on Hope and Negative Automatic Thoughts among Divorced Women

Background and Objectives: Divorce is one of the social harms that reduces general health and quality of life among women. Emotion-focused group therapy aims to limit the adverse psychological effects of divorce. The objective of this study was to investigate the effectiveness of emotion-focused group therapy on hope and negative automatic thoughts among divorced women. Material and Methods: This study was a quasi-experimental design with pretest-posttest and control group. Participants included women who had been divorced and had sought help from community centers in Tehran city in 2017. Simple random sampling was used and participants were categorized as two equal intervention and control groups. The intervention group received emotion-focused group therapy for 12 sessions and then post-test was performed for them. For data collection, the Hope Scale developed by Snyder et al and Negative Automatic Thoughts developed by Holon & Kendall were used. Statistical analyses were performed using IBM SPSS-22. Results: Responses of 60 (intervention group = 30 and control group = 30) was analyzed. The mean (SD) of hope in divorced women was higher than control group after emotion-focused group therapy: 32.6 (5.1) vs. 28.8 (5.4), P<0.01. In addition, emotion-focused group therapy reduced higher negative automatic thoughts among the intervention group compared to the control group: 100.3 (6.4) vs. 104.1 (5.9), P<0.01. Conclusion: The study showed that emotion-focused group therapy improved hope and automatic thoughts among divorced women
Internet of Things: Proposed security aspects for digitizing the world

The Internet is a Heterogeneous entity which is constantly changing and evolving. The concept of “Internet of Things” (IOT) refers to extending the intelligent sensors in our day to day objects such as televisions, fridge, media players, heating appliances etc. This would help in extending the ability of the objects to provide feedback to the user. This enables the object to have some sort of consciousness. What we have today is the human interacting with the object and not vice-versa, but the IOT would help us to complete this loop. This kind of digitization would mean that our next generation of refrigerators would know more about our diet then our current dieticians. This would help in creating a “system of systems”. Considering a current scenario where the number of digital security threats and attacks are increasing day by day, the notion of IOT would be incomplete if we ignore its security aspects. In this paper, we would be exploring the various security aspects of IOT such as security of remote frequency identifiers(RFID), wireless sensors etc. We have proposed a taxonomy of the security aspects of IOT. We have also explained the basic concepts and motivation behind the evolution of IOT, its architecture, and applications.
MISD Compiler for Feature Vector Computation in Serial Input Images

In this paper a compiler capable of generate Multiple Instruction Single Data (MISD) architectures for feature vector calculation is presented. The input is a high-level language, avoiding to developers to involve in low level design. Instead, the output is expressed in a Hardware Description Language (HDL), and can be used for FPGA configuration. A FPGA is a programmable device which allows parallelism, increasing the system speed up. The tool is intended to use in feature vector calculation of region of interest (ROI) for real time video applications. These ROIs arrives serially. Also, is possible to evaluate the vector in design time, allowing system prototyping. The compiler optimizes the response time and the number of registers required to meet real time constraints.
Ensemble Learning Approach for Author Profiling

With the evolution of internet, author profiling has become a topic of great interest in the field of forensics, security, marketing, plagiarism detection etc. However the task of identifying the characteristics of the author just based on a text document has its own limitations and challenges. This paper reports on the design, techniques and learning models we adopted for the PAN-2014 Author Profiling challenge. To identify the age and gender of an author from a document we employed ensemble learning approach by training a Random Forest classifier with the training data provided by PAN organizers for English language only. Our work indicate that readability metrics, function words and structural features play a vital role in identifying the age and gender of an author.
Real-time quantitative PCR demonstrates low prevalence of human papillomavirus type 16 in premalignant and malignant lesions of the oral cavity.

PURPOSE Human papillomavirus (HPV) type-16 has been associated with invasive squamous cell carcinoma of the head and neck. This study examines the role of HPV-16 in the progression of oral head and neck cancer by determining the quantity of HPV-16 DNA in premalignant and malignant lesions, using real-time quantitative PCR, to more accurately determine the role of HPV-16 in oral head and neck squamous cell carcinogenesis. EXPERIMENTAL DESIGN We examined 102 microdissected premalignant head and neck lesions (85 from the oral cavity), 34 invasive oral cavity squamous cell carcinomas, as well as 18 invasive tumors known to be HPV positive by traditional molecular technology for the presence of HPV-16 DNA using real-time quantitative PCR. RESULTS HPV DNA was detected in 1 of 102 premalignant lesions (0.98%), 1 of 34 (2.9%) invasive oral cavity carcinomas, and 14 of 18 (78%) known HPV-positive tumors. CONCLUSIONS HPV-16 infection and integration is seldom found in oral premalignant lesions and invasive carcinoma, and therefore rarely contributes to malignant progression in the oral cavity. Furthermore, quantitative PCR is a useful technique that reliably excludes contaminated samples and those with minimal HPV DNA content that is unlikely to be significant in carcinogenesis.
Beyond the Two-Strategy Model of Skilled Spelling: Effects of Consistency, Grain Size, and Orthographic Redundancy

Most models of spelling assume that people rely on two procedures when engaging in spelling: a lexical look-up procedure that retrieves spellings in their entirety, and a nonlexical procedure that constructs spellings with a set of phoneme-grapheme rules. In the present research, we investigated whether larger sized subsyllabic relationships also play a role in spelling, and how they compare to small-sized phoneme-grapheme relationships. In addition, we investigated whether purely orthographic units can explain some of the variance typically attributed to the mapping between sound and spelling. To do this, we ran five spelling experiments, two using real words and three using nonwords. Results from the experiments showed that there were independent contributions of both phoneme-grapheme and larger sized subsyllabic sound–spelling relationships, although the effect of phoneme-grapheme-sized relationships was always stronger and more reliable than larger sized subsyllabic sound–spelling relationships. Purely orthographic effects were also shown to affect word spelling, but no significant effects were found with nonword spelling. Together, the results support the hypothesis that a major constraint on spelling comes from phoneme-grapheme-sized relationships.
The Crusher System for Autonomous Navigation

We present the Crusher system for autonomously navigating complex off-road terrain. In this paper, we de-scribe the Crusher system’s three-pronged approach for safely and reliably moving between widely-spaced waypoints. First, the system automatically interprets aerial map data to assess mobility risk and plans trajectories that move from way point to way point. Second, the system uses a ladar- and camera-based perception system to detect and avoid hazards that are not discernable in the map data or that appear after the area is mapped. Third, the Crusher vehicle breaches hazards too difficult for on-board sensors to detect. The autonomy software is adaptive for operation on a wide range of terrain types. To date, the Crusher system has been tested on terrain with dense trees, long washes, deep ditches, steep slopes, thick brush, and large rocks. In early 2007, the system was tested at Ft. Bliss in Texas, where it drove over two hundred fifty kilometers autonomously.