Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Localized Entropy-based Medical Image Retrieval

ABSTRACT Utilization of online medical images was limited due to the lack of effective search methods, and text-based searches have been a dominating approach for the medical database management. Medical images of various modalities cannot be effectively indexed or organized with traditional text-based retrieval techniques. This has led to the use of image content for the processing and organizing the database, constituting the so-called content-based image retrieval systems. This paper presents two proposed methods, namely fuzzy connectedness image segmentation with geometric moments (FCISGMs), and localized entropy-based medical image retrieval (LEBIR) for retrieval of Digital Imaging and Communications in Medicine images. FCISGM exploits shape features for precise image retrieval by using fuzzy connectedness image segmentation. LEBIR uses localized entropy for minimizing number of computation which results in efficient image retrieval. Experimental evaluation reveals that the proposed methods outperform the existing methods in terms of precision and recall.
Taming the Beast: Managing Complexity in Game Build Pipelines

It is not a secret. Game companies face fierce competition to attract gamer’s attention. Every holiday season, many products compete for the honor of being played. As a consequence, games need to be bigger, nicer, even funnier! Their plots need to be deeper and longer. Game scripts use many more levels, scenarios, and quests. Engines struggle to squeeze all the computing power to render highly detailed textures, models, and animations. Playing online and using downloaded content is also a must. In short, games have become awfully complex. From a technical point of view, each title requires more assets and increasingly more complex relations among them. For artists to raise the quality level, they need to rely on tools that allow quick iteration. Releasing a multiplatform game is also the norm for many publishers. Every aspect of the current generation of games proves more challenging for the production pipeline. Traditional designs are no longer capable of handling such pressure, and these not-so-old models do not scale well. New approaches are required. The importance of new solutions is so obvious that terms such as content management or asset pipeline have become frequent guests in the agenda of many management meetings. With this in mind, we are going to discuss different approaches that will be helpful during the design, implementation, and refactoring of content processing and asset build pipelines. Even if these notes do not represent a specific implementation, they describe generic methods that can be used to reduce downtime and improve efficiency. Many of them are orthogonal and can be implemented independently without requiring a full revamp of the system. These guidelines are a combination
Considerably Enhanced Second-Harmonic Generation in Resonant U-Shaped Nano-Structures

In this paper, we perform a detailed study of the spectral response of the gold U-shaped nano-structures for different geometrical parameters and polarizations in order to obtain significant localization factor in the wavelength 1.55 μm. The obtained near-field distribution of electric fields reveals that resonances in these nano-structures correspond to the even and odd plasmonic modes depending on the geometrical parameters and polarization directions. Considerably large localization factor is obtained for the first odd mode in specific geometrical parameters. Then, this structure is considered to be surrounded by a typical secondorder nonlinear dielectric. The effective susceptibility is calculated for the considered structure, using the nonlinear retrieval method, to demonstrate the enhanced second-harmonic generation quantitatively. In order to represent the applicability of the investigated structure in nano-scale light sources and frequency doublers, its second harmonic generation efficiency is compared with the efficiency of the nonlinear dielectric alone with the same dimensions.
Application Research on PCA Algorithm in Face Recognition

The method of eigen face is a face recognition technology derived from principal component analysis. This paper first introduces K-L transform and the principle of PCA, then describes the flow of the method of eigen face and the method of classification and discrimination, finally introduces the packet PCA algorithm to improve efficiency of PCA algorithm. The algorithms provide evidence for face recognition combined with support vector machine.
Part-aware CNN for Pedestrian Detection

Pedestrian detection is a significant task in computer vision. In recent years, it is widely used in the applications such as monitoring system and automatic drive. Although it has been exhaustively studied over the past decade, the occlusion situation remains a very challenging problem. In order to deal with this problem, one convincing method is to utilize the parts based methods for the visible parts information, and furthermore to estimate the pedestrian position. Many part-based pedestrian detection methods have been proposed in recent years. According to our analyses, clumsy part combining process have always been the problems to limit pedestrian detection performance. In this paper, we propose Part-aware CNN to solve this problem. In this study, we focus on the part detector combination phase, which including a brand new method to reform the part detectors to the convolutional layer of the CNN and optimize the whole pipeline by fine-tuning the CNN. In experiments, it shows the astonishing effectiveness of optimization and robustness of occlusion handling.
An R And S Plus Companion To Applied Regression

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A coding system for dynamic topic analysis: a computer-mediated discourse analysis technique

We introduce an efficient coding system for dynamic topic analysis (DTA), a computer-mediated discourse analysis technique that codes and visualizes topical development over time in online discussions. Our system provides three main functionalities: intuitive coding with a touch screen interface, automated inter-rater agreement computation, and visualization of the coding results. Using the system, we conducted a preliminary DTA of 28,131 user comments from the popular music distribution sites SoundCloud and Last.fm. The analysis shows that most SoundCloud and Last.FM comments are narrowly on-topic and prompt-focused, as compared to discussions in other social media that exhibit more topical elaboration.
Exchange Of Software Representations Among Reverse Engineering Tools

This paper examines the exchange of software representations among reverse engineering tools. Background information on maintenance related activities and their importance in the software development lifecycle are outlined. An overview of tool support for software maintenance demonstrates the need for a standardized means for facilitating the exchange of information among reverse engineering tools. A variety of techniques for exchanging software representations are examined with respect to their relative advantages and disadvantages. The characteristics of a number of software exchange formats are summarized among various taxonomies. Four different types of exchange are characterized. Each is evaluated on how it satisfies the requirements for a standard exchange format. The paper concludes with a look at the direction research efforts are taking towards enabling the exchange of software representations among reverse engineering tools in the near future.
Cloud Based Virtual Reporting Application

Cloud computing is a very powerful concept that can be used to enhance the next generation data center and allow service provider to use data center capability provided by cloud and develop the application based on user requirement. This work aims to develop an android based web application namely Cloud based Virtual Reporting Application (VRA) wherein the database is stored on the cloud which resembles large storage facility. VRA is basically an android application which can be used by managers of the organization to monitor their employees. It is one kind of employee monitoring application where the manager can monitor the location of the employee and keep track of the his location whether the employee has done the allocated work or not. The app makes use of GPS technology available in the mobile phone to monitor the location. In addition to this, OPENCV library is used for face recognition to verify the authentication of the employee.
Indoor Positioning Algorithm Based on Semi-supervised Learning

Collecting training data with positioning information is a costly work,which restricts the actual deployment of positioning estimation system and becomes a bottleneck problem.Aiming at the above problem,this paper presents a positioning estimation algorithm LocMR based on manifold regularization,which is a semi-supervised machine learning algorithm,to learn mapping function with a few labeled data and sufficient unlabeled data.The algorithm LocMR is verified in real IEEE 802.11 Wi-Fi wireless data set,result shows that it reaches higher accuracy,while reduces calibration effort greatly at the same time,thus the application availability of positioning estimation system is greatly enhanced.
Thermographical analysis of friction stir welding and laser assisted friction stir welding

Summary: Friction Stir Welding (FSW), developed at The Welding Institute (TWI) in 1991, is a new solid-state welding process. In this technique, the material does not reach the fusion but the joint is the consequence of the plasticization resulting from the generation of heat by friction and the stirring action of the pin on the material due to the rotation and the displacement of a non-consumable tool. Thus, the FSW reaches temperatures lower than those reached by conventional fusion welds. Laser Assisted Friction Stir Welding (LAFSW) is a combined welding technique in which the FSW is assisted, during the weld, by the pre-heating of a de-focalized laser. This technique leads higher welding speeds, lower clamping force and it has some beneﬁts for tool wear. Nevertheless the control of the temperature ﬁeld is fundamental to guarantee a high quality joint. In this work FSW and LAFSW bead on plate tests were conducted on 6 mm thick 5754 H111 aluminum alloy plates with constant tool rotation and welding speed. Thermographic images were acquired to compare the effect on the temperature ﬁeld of laser source distance from the tool and laser power.
Interference Finding Expert System Based on Case Reasoning and Rule Reasoning

Considering characteristics of finding radio interference, the hybrid mechanism which integrate case and rule reasoning is applied in the intelligent diagnose system.The structure of expert system is presented, and the description and search method of the case are introduced.Practical application shows that the accuracy of finding radio interference is improved efficiently by this expert system, and the analysis and verdict ability of the person who deals with finding interference is also improved.
Range-Sum Queries over High Dimensional Data Cubes Using a Dynamic Grid File

In this chapter, the authors propose to use the grid file to store multi-dimensional data cubes and answer range-sum queries. The grid file is enhanced with a dynamic splitting mechanism to accommodate insertions of data. It overcomes the drawback of the traditional grid file in storing uneven data while enjoying its advantages of simplicity and efficiency. The space requirement grows linearly with the dimension of the data cube, compared with the exponential growth of conventional methods that store pre-computed aggregate values for range-sum queries. The update cost is O(1), much faster than the pre-computed data cube approaches, which generally have exponential update cost. The grid file structure can also respond to range queries quickly. They compare it with an approach that uses the R*-tree structure to store the data cube. The experimental results show that the proposed method performs favorably in file size, update speed, construction time, and query response time for both evenly and unevenly distributed data.
Extractive Question Answering on Queries in Hindi and Tamil

Indic languages like Hindi and Tamil are underrepresented in the natural language processing (NLP) field compared to languages like English. Due to this underrepresentation, performance on NLP tasks (such as search algorithms) in Indic languages are inferior to their English counterparts. This difference disproportionately affects those who come from lower socioeconomic statuses because they consume the most Internet content in local languages. The goal of this project is to build an NLP model that performs better than pre-existing models for the task of extractive question-answering (QA) on a public dataset in Hindi and Tamil. Extractive QA is an NLP task where answers to questions are extracted from a corresponding body of text. To build the best solution, we used three different models. The first model is an unmodified cross-lingual version of the NLP model RoBERTa, known as XLM-RoBERTa, that is pretrained on 100 languages. The second model is based on the pretrained RoBERTa model with an extra classification head for the question answering, but we used a custom Indic tokenizer, then optimized hyperparameters and fine tuned on the Indic dataset. The third model is based on XLM-RoBERTa, but with extra finetuning and training on the Indic dataset. We hypothesize the third model will perform best because of the variety of languages the XLM-RoBERTa model has been pretrained on and the additional finetuning on the Indic dataset. This hypothesis was proven wrong because the paired RoBERTa models performed the best as the training data used was most specific to the task performed as opposed to the XLM-RoBERTa models which had much data that was not in either Hindi or Tamil.
Writing tools for non-native users of english

We report on an ongoing project aimed at developing software tools to help non-native users of English in the writing of scientific papers. The environment, named AMADEUS, (AMiable Article Development Environment for User Support), is based on an empirical resource which consists in providing linguistic input to the user in the form of expressions and templates stored in a sentences base, and is at an initial exploratory stage, in the sense that we are trying different user-interfaces and environments for developing the tools. One of the versions conceived for the environment is already implemented.
Inelastic displacement spectra for Chinese highway bridges characterized by single-degree-of-freedom bilinear systems

As for the inelastic displacement demand of a single-degree-of-freedom system, previous studies usually focus on the strength reduction factor, R, or the inelastic displacement ratio, C. Only a little literature reports the direct statistical results of the mean inelastic displacement spectra, Sd. Based on 308 earthquake records selected from three types of site soil, differences between the direct mean Sd and the indirect ones that respectively derived from mean R and mean Cμ are investigated, in which Cμ refers to the constant ductility inelastic displacement ratio. It is found the indirect Sd will introduce errors for using mean R and mean Cμ, while the dispersion of the direct spectra need to be reduced before putting into practice. Two methods, the period normalized method and the spectra-matching method, are employed to address the dispersion problem, and the latter one that modified a record to make its acceleration response spectra compatible with the specified standard, Chinese highway bridge seismic design guidelines in this study, works with more acceptable performance. Finally, a comprehensive equation is proposed to characterize the spectra-matching mean Sd, the practicality and efficiency of the identified parameters in the equation are verified. It is advisable to use the proposed equation to assess the inelastic displacement demand of Chinese highway bridges characterized by single-degree-of-freedom bilinear system, and the procedures to obtain the displacement spectra can also be utilized for other corresponding researches.
Detailed validation of EURO-CORDEX and Med-CORDEX regional climate model ensembles over the Carpathian Region

⎯ Present study evaluates the ability of the ERA-Interim-driven regional climate model (RCM) simulations conducted in the framework of the Coordinated Regional Climate Downscaling Experiment (CORDEX) in describing precipitation and temperature climatic conditions over the Carpathian Region. In total, nine RCM simulations were assessed from EURO-CORDEX and Med-CORDEX (at 0.44° and 0.11° nominal resolutions) against the CARPATCLIM high resolution gridded observational database. Present work focuses on the mean, minimum, and maximum near-surface air temperature and precipitation. The study shows the performance of the members of RCM ensembles in representing the basic spatiotemporal patterns of the climate over the Carpathian Region for the period of 1989–2008. Different metrics covering from daily to monthly and from seasonal to annual time scales are analyzed over the region of interest: spatial patterns of seasonal mean temperature and precipitation, annual cycle of precipitation, monthly mean temperature bias, as well as climate indices, including CDD (consecutive dry days), R95, FD (frost days, when Tmin<0 °C), and SU (summer days, when Tmax>25 °C). The results confirm the distinct capabilities of RCMs in capturing the local features of the climatic conditions of the Carpathian Region. This work is in favor to select RCMs with reasonable performance over the Carpathian Region, based on which a high-resolution bias-adjusted climatic database can be established for future risk assessment and impact studies. Key-words: EURO-CORDEX, Med-CORDEX, CARPATCLIM, regional climate model evaluation, Carpathian Region, temperature, precipitation
A fly-robot interface to investigate the dynamics of closed-loop visuo-motor control in the blowfly

The blowfly Calliphora is one of the most sophisticated fliers in the animal kingdom. It displays a broad repertoire of visually guided behaviours that can readily be quantified, including gaze and flight stabilization reflexes, male chasing flights, collision avoidance and landing responses. The fly achieves such robust visuomotor control tasks based on a comparatively simple nervous system that is highly accessible for electrophysiological recordings. The ability to investigate the fly’s performance at the behavioural and electrophysiology levels makes this animal an ideal model system to study closed-loop visual motor control. The aim of this thesis was to develop and characterize the dynamics of a fly-robot interface (FRI) while a fly performs a closed-loop visual stabilization task. A novel experimental setup involving a FRI was developed which allowed for simultaneous measurements of neural activity from the fly and the behavioural performance of the robot. In the setup, the neural activity of an identified visual interneuron, the H1 cell, was recorded and its action potentials were used to control the motion of a mobile robot that was free to rotate along its vertical axis. External visual perturbations were introduced into the closed-loop system through a rotating turn-table with the robot using the neural activity to counter-rotate and to minimize the observed visual motion. The closed-loop control delay of the FRI was 50 ms which is well within the range of visual response delays observed in fly behaviour. With the FRI, the closed-loop dynamics of a static-gain proportional controller were characterized. The results explain significant oscillations in the closed-loop responses as a possible consequence of a high controller gain which were also observed but never fully interpreted in previous behavioural studies. Varying the
Forensic Speaker Recognition: Mirages and Reality

: Forensic speaker recognition is a topic similar to a tropical climate, where a big storm could form any day� It is a particularly controversial topic for three main reasons: the nature of the material it relies on, the maturity of scientific knowledge in this field, and its history� Forensic speaker recognition is under the spotlight because there is a huge and increasing demand for expertise in courts� In this chapter, the importance of the Bayesian decision framework is highlighted, which is now the standard paradigm for forensic speaker comparison, and reopens the question of science in court� The impressive progresses achieved in the field of Automatic Speaker Recognition (ASR) during the last decade are acknowledged� This raises the question of the use of ASR in forensic voice comparison� In this context we point out on several important weaknesses in the evaluation protocols, insisting on the fact that the whole communication process has to be taken into account, including speaker specificities not only from a speech production perspective but also from the perspective of the interactions with the interlocutors� The final objective is to reaffirm strongly in the scientific area the “need for caution message” concerning forensic speaker recognition applications in courts�
A Fuzzy Control Method for Multi-phase Intersection and its Simulation

According to the real condition of modern city traffic,the control of a single multiphase signalized intersection is studied,and a novel fuzzy control methd is presented.By this method,not only the traffic flow of every phase is considered,but also the green time and red time.So the control and decision process are quite similar to the human thinking,and better control effect is achieved.Though more inputs are needed for controller,there is no increase of the complexity of the system.At last,the simulation is performed,with better result than that of the traditional actuated control,so it is an effective algorithm for intersection control.
Design and Fabrication of NiTi Frame Utilizing for Endobronchial Valve

This study aims to design and fabricate the NiTi frame for Endobronchial valve (EBV) utilizing shape memory alloy wires. In order to evaluate the transformation and mechanical properties, heat-treatment at 450°C, 500°C and 550°C respectively for 10 minutes are carried out. Results from differential scanning calorimeter (DSC) and load-unloading test by universal tensile testing machine were used to select the heat-treatment condition for NiTi frame fabrication. Moreover, NiTi frames were fabricated by braiding 12 wires together by braiding machine with take up speed of 10, 15, 20 and 25 mm/sec respectively and constant carrier speed at 25 rad/sec. It is confirmed that all specimens show superior superelasticity at body temperature. Radial force of frame was measured by Mylar test at 37°C. Heat-treatment temperature at 500°C was selected since the highest stress for induce Martensite and recovery stress was obtained. The highest radial force was obtained in NiTi frame fabricated with taking up speed of 15 mm/sec. It is able to be concluded that NiTi frame can be illustrated for Endobronchial valve frame in future work.