Miracle-dz/UniFAR-FTUs huggingface dataset:
Thermal-Stress Analysis Based on ANSYS for the Piston

Combining VPT with FEA,builds a virtual prototype of piston of an engine by SolidWorks.Based on the virtual prototype,through the interface between ANSYS and SolidWorks,the temperature loads are applied on the FEA model of piston and the temperature field is obtained.It is performed based on the theoretical analysis for piston components,ANSYS software is applied to establish the 3-D finite element model,and the model is simulated by finite element method.According to the FEM theory,the model is simulated and calculated.Then,the thermal-stress concentrated place is determined.Analyzed the results,it is feasible to analyze the relationship between them by using ANSYS.The results are useful to support the optimum design of the piston.
Teaching Reform and Practice of "Java Programming" Course

This paper studies and analyzes the problems and causes in "Java Programming" course teaching to improve students' interest and their ability for programming.In connection with the actual situation,it presents some suggestions on teaching reform,including case teaching,network teaching and practice teaching.The results show that students' ability for independent learning and problem-solving has been greatly improved,and attainment for vocational skills has been enhanced.
Stochastic fuzzy control strategy and application to robot control

According to the problem of fuzzy rule automatic generation,a self-organization stochastic fuzzy control strategy is designed by adopting OCPFA learning system which is constructed by Skinner operant conditioning(OC) and probabilistic finite automata(PFA). The designed OC learning mechanism is fristly adopted in the strategy to stochasticly select a fuzzy action which is used as the consequent part of fuzzy rule from the fuzzy action sets;then the OC learning mechanism is updated by using feedback information of selected fuzzy action which comes from environment;finally a new fuzzy consequent action is selected based on the updated OC learning mechanism.The process of self-learning and self-organising are theoretically proved convergent in sense of probability.Both the simulation and experiment indicate that the stochastic fuzzy control strategy can be successfully applied in self-balancing control of two-wheeled robot and the learning rate and control precision of robot are improved.
Development of an On-line Automatic Test Equipment for AMT Transmission

According to the characteristics of the production process for the automatic transmission,making full use of modern optical,mechanical,electrical and computer information technologies,the equipment was developed specifically for AMT transmission of a load/unload test,to achieve the AMT transmission automatic static self-learning,dynamic self-learning,the program was given automatically to test the standard requirements of the project;It was a closed-loop feedback control system with speed,torque and power-controlled.The equipment has the characteristics of simple operation,fast test,high accuracy controlling,and has been extensively applied.
Cultural Impact on Online Education Quality Perception.

Numerous stakeholders in the field of education have been working on the development and extent of the use of ICT in different learning communities (higher education, vocational training) and in different multicultural contexts thanks also to EU funding opportunities. In this framework, they have participated in the building of various cross-national teaching and learning models. The strategies which supported the development of such educational projects introducing online teaching and learning activities in the framework of European projects generally rely on the basic premise of the homogeneity of the educational systems likely to be used, and according to similar methods, the resources and training devices with ICT. This can lead to the negation of potential discrepancies, particularly cultural ones, in educational systems. The aim of this paper is to analyse the concept of “quality in online education within European Online Academic Education’s context”, how this concept takes shape and how it becomes – or not – part of teaching and learning practices. We decided to focus our attention on the concept of “quality” to understand the eventual impact of the cultural factor on the developing scenario of virtual education because this concept seems to be particularly revealing if we take into consideration its “open nature”. The increasing number of virtual campuses reveals how common the development of teaching modules are nowadays together with complete degrees based on inter-university and transnational collaborations with the aim of transferring learning objects from one educational context to another. Virtual mobility is thus becoming a reality for a greater number of students. However, the multicultural dimension of these new environments has not been investigated yet and in particular the notion of “online teaching quality” is still under-exploited. This paper intends to provide a review of current works on Online Education Quality Measurement in general focusing on the investigation of Cultural Impact on Quality issues. At the same time this paper intends to shift the attention from students’ to teachers’ perception of quality and consequently on the possible different evaluation frameworks used within the same context: European Online Education. The paper is part of a PhD research aimed at exploring the impact of cultural dimensions on the design of online courses offered by universities from different European areas. The research notably aims to reveal differences between online courses' models, in order to uncover which one of them can be connected to the cultural dimension they belong to.
' PSYSOUND' : A COMPUTER PROGRAM FOR PSYCHOACOUSTICAL ANALYSIS

This paper outlines the capabilities of a computer program called ‘PsySound’ (written by the author), which implements a range of psychoacoustical models. The relationship between an acoustic stimulus and the corresponding sensation is no simple matter. While physical measurements are relatively easy to perform, psychoacoustical models are principally available in limited or expensive forms, and in that sense, are unavailable to all but the most specialised researchers. This is a matter of some frustration to researchers, students and educators with limited resources. This paper describes a program called ‘PsySound’, in which several psychoacoustical models are implemented. PsySound is compiled for Macintosh PPC, and is freely available from this author’s web site (http://members.tripod.com/~densil/). This paper primarily refers to the current version of PsySound (version 2.x), which combined what were previously five separate programs into one. PsySound reads 16-bit signed integer sound files, with a sample rate of 44100 Hz, and either 1 or 2 channels. Sound Designer 2, AIFF, and Microsoft Wave formats can satisfy these criteria. It analyses the files in a succession of overlapping 93 ms windows. Results are recorded in four tab-delimited text files: one for level, spectrum and cross-channel time series data; one for loudness and related time series data; one for pitch and related time series data; and one for summary data. The broad structure of the program is shown in Fig. 1.
The Research Volume Rendering Algorithm Based on GPU

This paper present the process of GPU-based volume rendering algorithm.Aiming at multi-organization for medical imaging calibration problem,we propose a two dimensions table based texture transfer function.For the problems of CPU and GPU resource allocation and tasks coordination,we propose a GPU based acting geometry algorithm to generate texture coordinates and cooperating with GPU to finish Volume Rendering.Finally,experiments have been carried out with a large number of medical imaging data and the result indicates that the algorithm proposed in this paper can be a good solution for multi-organization.The algorithm makes the calibration and reconstruction speed so efficient that the speed reaches a millisecond-level.The speed fully satisfies the clinical needs.
A Guide to Modern Econometrics

textabstractA Guide to Modern Econometrics is a new textbook published by John Wiley and Sons. It covers a wide range of topics in applied econometrics in a concise and intuitive way. Some distinctive features: Emphasis on empirical relevance and intuition, paying attention to the links between alternative approaches. Limited use of matrix algebra. Coverage of many modern topics from time-series, cross-section and panel data econometrics. Concisely and carefully written, so that the reader does not get lost in the details. Full length empirical illustrations are provided throughout, typically taken from the modern economics literature and using full-size data sets. Empirical illustrations taken from finance, labour economics, environmental economics, monetary economics, international economics and many more. Exercises added to all chapters, with a focus on intuition and interpretation of results. Several exercises involve the use of actual data. Data sets used for illustrations and exercises are available from the internet.
QUERY RECOMMENDATIONS AND ITS EVALUATION IN WEB INFORMATION RETRIEVAL

Search Engine retrieves significant and essential information from the web based on query terms given by the user. Due to the lack of background knowledge about the information required, shorter length queries posed by the user, the ambiguity of query keywords and dynamic growth of the web, irrelevant and redundant results are also retrieved by the search engine. Query recommendations is an important technique which analyze the real search intent of the user and suggests the alternative queries to be used by the user in future to satisfies their information need. The proposed method recommends and ranks the alternative queries and evaluates the ranking order of the recommendations with the help of the ranking measures Normalized Discounted Cumulative Gain (NDCG) and Coefficient of Variance (CV). These measures identify the relationship between the ranking techniques. The proposed strategies are experimentally evaluated using a real time search engine query log.
Agreeing to disagree : constant non-alignment of speech gestures in dialogue

Numerous studies suggest that interlocutors in a dialogue align with each other in terms of their articulatory gestures. It is often suggested that this, first, is the consequence of an automatic tendency for imitation and, second, this fosters mutual understanding. Making use of online archives of media, it was tested whether alignment is hence inevitable. The focus was on the pronunciation of the German word ist (Engl., ’is’). The standard pronunciation is [ist], but speakers with a Swabian accent produce [i ∫ t], acoustically reflected in the fricative spectra. We measured the spectra of fricatives in ist from interviewers while interviewing either a prominent German politician using the Swabian variant or an interviewee using the standard variant. Results showed neither an overall influence of the interviewees’ pronunciation on the fricative realization by the interviewer nor a tendency to align over time for interviewer-interviewee pairs with different pronunciations. This shows that phonetic alignment in conversation is a more complex process than most current theories seem to suggest. Moreover, failure to align may not impede mutual understanding.
An Efficient Contour-Based Layered Shape Descriptor for Image Retrieval

This paper introduces a novel contour-based shape descriptor for the retrieval of simple shape as well as complex shape images. In this method, the shape points are partitioned into three layers according to their distance to the center of shape distribution. For each layer, we calculate the distance, angle and pixel ratio as the features of a shape. The possible combinations of the features generate various descriptors, and we evaluate and compare their performance with that of curvature scale space (CSS) and angular radial transform (ART) descriptors, which are adopted by MPEG-7 Visual experimentation Model. The method provides good invariant properties in rotation, scaling and their combination. Experimental results show that the proposed method is better than CSS and ART descriptors in most tests. Furthermore, the new descriptor is much more compact and computational eﬃciency than CSS and ART for shape image retrieval.
Learning Grasping Possibilities for Artifacts: Dimensions, Weights and Distributional Semantics

English. In this paper we want to test how grasping possibilities for concrete objects can be automatically classified. To discriminate between objects that can be manipulated with one hand and the ones that require two hands, we combine conceptual knowledge about the situational properties of the objects, which can be modeled with distributional semantic methodologies, and physical properties of the objects (i.e. their dimensions and their weights), which can be found on the web through crawling. Italiano. In questo articolo vogliamo testare come le possibilità di manipolazione degli oggetti concreti possano essere classificate automaticamente. Per distinguere tra oggetti che possono essere manipolati con una mano e oggetti che richiedono due mani, combiniamo conoscenza concettuale sulle proprietà situazionali dell’oggetto rappresentandola secondo il paradigma della semantica disribuzionale con le proprietà fisiche degli oggetti (le loro dimensioni e il loro peso) estratte dal web mediante
Identification method for complex modulated compression radar signal

With the wide application of complex modulated compression radar signal, traditional identification method can't satisfy the need of modern electronical reconnaissance. Aiming at this problem, an identification method based on the Generalized Time-Frequency Representation of Zhao, Atlas and Marks(ZAM-GTFR)and Radon transform is put forward. After carry out ZAM-GTFR and Radon transform on signal, this method makes use of the optimal rotational angle and number of summits to identify signal. This method can identify many kinds of complex modulated compression radar signals, including sinusoid frequency modulated signal and poly-phase modulated signal. Simulation results verify that correct identification ratio of this method can reach 94% when signal-to-noise ration is- 3 dB.
IPv6 Transition Mechanisms: Survey, Evaluation Criteria and Deployment Considerations

As IPv4 address resources being exhausted, the transition from IPv4 to IPv6 is inevitable and fairly urgent. The existing IPv6 transition techniques encountered several critical issues for large-scale deployment. For example, the lack of unified evaluation criterion makes it hard to select the appropriate transition strategy for a given scenario. This paper investigates and presents potential IPv6 transition scenarios and typical transition mechanisms in ISP networks, with emphasis on the provision of unified evaluation criteria in terms of functionality, applications, performance, deployment and security for IPv6 transition mechanisms and evaluation of these transition techniques based on the provided criteria. In addition, by virtue of the unified evaluation criteria, this study proposes a practical deployment of IPv6 transition strategy in the ISP's core and access networks. Finally, the consideration of IPv6 transition based on the emerging technology such as SDN to ease and accelerate its deployment is presented.
Fiction and curatorial practice: developing alternative experiences for digital artistic prototypes

ABSTRACT Increasingly, digital artworks are developed as part of research endeavours, and respond to a cultural climate which values co-creation, practices of tinkering, re-cycling or re-purposing and innovation. As a consequence, these works tend to be unstable, constantly open to change and to the intervention of possible collaborators. Because of such openness to transformation and their involvement in knowledge production and sharing, they can be considered as prototypes, and generate ne'w opportunities for curatorial practice. This article introduces a curatorial project developed around one such artistic prototype, the Eye Resonator, and based on the idea that audience experience can be structured or transformed by speculatively relating the piece to alternative uses and everyday life contexts, different from its role as an interactive artwork. Our strategy is inspired by design methodologies based on the use of fiction, and imagines scenarios where the technological specificities of the piece can be repurposed. This intervention was partially intended to respond to a series of problems encountered in previous showings of the piece, and aims at scaffolding the participant experience by providing, through the scenarios, additional cultural references and entry keys to approach the prototype.
Proposal of an Algorithm for an Efficient Forward Link Adaptive Coding and Modulation System for Satellite Communication

This paper proposes the algorithm for forward link adaptive coding and modulation (ACM) and the detailed design for a satellite communication system to improve network reliability and system throughput. In the ACM scheme, the coding and modulation schemes are changed by as much as the channel can provide depending on the quality of the communication link. To implement the forward link ACM system in the Ka-band, channel prediction and modulation/coding decision methods are proposed and simulated. The parameters of the adaptive filter predictor based on the least mean square are optimized, the minimum mean square error of the channel predictor is 0.0608 when step size and the number of filter tap are 0.0001 and 4, respectively. A test-bed is set up to verify the forward link ACM system, and a test is performed using a Ka-band satellite (i.e., Communication, Ocean, and Meteorological Satellite [COMS]). This test verifies that the ACM scheme can increase the system throughput.
The database query optimization strategies based on genetic algorithms

The basic ideas and working flows of genetic algorithms are outlined. For the join operator that is the most difficult to process and optimize in DBMS,the query optimization strategies, based on genetic algorithms, over the plan collections of left-deep join tree and the plan collections of bushy join tree are discussed. The methods of chromosome coding on left-deep join tree and bushy join tree are showed by query instances, and further other seven parameters of basic genetic algorithms are determined by the design of coding.
Classification of Motorcyclists not Wear Helmet on Digital Image with Backpropagation Neural Network

One of the world’s leading causes of death is traffic accidents. Data from World Health Organization (WHO) that there are 1.25 million people in the world die each year. Meanwhile, based on data obtained from Statistics Indonesia, traffic accidents from 2006 to 2013 continue to increase. Of all these accidents, the largest accident occurred at motorcyclists, especially motorcyclists who not wearing standard helmet. In controlling the motorcyclists, police view directly at the highway, so that there are weaknesses which there are still a possibility of motorcyclist offenders who are undetectable especially for motorcyclists who are not wear helmet. This paper explains research on image classification of human head wearing a helmet and not wearing a helmet with backpropagation neural network algorithm. The test results of this analysis is the application can performs classification with 86.67% accuracy rate. This research can be developed into a larger system and integrated that can be used to detect motorcyclists who are not wearing helmet.
Appraisal of localized binarization methods on Tamil palm-leaf manuscripts

Palm-leaf manuscripts have enormous information, very much essential to day-to-day life. Due to climatic changes and aging factors these manuscripts have started degrading. To preserve the information present on the palm-leaves, digital images of each leaves have been taken up and stored. These images can be viewed as and when required. However, the storage volume required for each leaf is tremendously large, thereby increasing the cost. In order to have only the textual information for storage and segmentation purposes, it is mandatory that these images are binarized. Binarization of degraded document images has been a challenge to many computer scientist. This paper primarily deals with binarization of the palm-leaf manuscript images using Niblack, Sauvola, NICK and Bradley binarization algorithms. Binarization not only reduces the size, thereby protecting the textual content, but also helps in next level of character recognition which includes the segmentation.
Application of Visual-Label in Detection of Plant Leaves' Wilt

Visual-Label is a novel concept of Intelligent Vision Internet of Things,which is widely used in areas such as face recognition as well as license plate recognition. However,application of plant's visual-label is hot and difficult in intelligence research area. So,a method for extracting feature vectors of the neighborhood of corner points,combined with value of local binary patterns used to establish the visual-label for plant leaves is proposed. Firstly,we detect the corners of different states of plant leaves,extract the value of local binary patterns as the center of the corners and calculate its neighborhood gradient vector,and then assign gradient direction and right weight to get an eighteen-dimensional feature vector. Finally,we calculate the angle of feature points' feature vectors between the different leaves which have the equal values of local binary patterns. Matching plant leaves by the value of angle,which judges the state of plant leaves. This feature works well for the plant visual-label and is of good robustness for the blight caused by plant diseases and insect pests and the rotation of the blade.
Implementation of an Agent-centric Planning of Complex Events as Objects of Pedagogical Experiences in Virtual World

An agent-centric event planning method is proposed for providing pedagogical experiences in an immersed environment. Two-level planning is required at in a macro-level (i.e., inter-event level) and an intra-event level to provide realistic experiences with the objective of learning declarative knowledge. The inter-event (horizontal) planning is based on search, while intra-event (vertical) planning is based on hierarchical decomposition. The horizontal search is dictated by several realistic types of association between events besides the conventional causality. The resulting schematic plan is further augmented by conditions associated with those agents cast into the roles of the events identified in the plan. Rather than following a main story plot, all the events potentially relevant to accomplishing an initial goal are derived in the final result of our planning. These derived events may progress concurrently or digress toward a new main goal replacing the current goal or event, and the plan could be merged or fragmented according to their respective lead agents’ intentions and other conditions. The macro-level coherence across interconnected events is established via their common background world existing a priori. As the pivotal source of event concurrency and intricacy, agents are modeled to not only be autonomous but also independent, i.e., entities with their own beliefs and goals (and subsequent plans) in their respective parts of the world. Additional problems our method addresses for augmenting pedagogical experiences include casting of agents into roles based on their availability, subcontracting of subsidiary events, and failure of multi-agent event entailing fragmentation of a plan. The described planning method was demonstrated by monitoring implementation.