Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of Rectification Corrections for Semi Gantry Crane Rail Axes in the Local 3D Coordinate System

Abstract Electronic tacheometers are currently the standard instruments used in geodetic work, including also geodetic engineering measurements. The main advantage connected with this equipment is among others high accuracy of the measurement and thus high accuracy of the final determinations represented for example by the points’ coordinates. One of many applications of the tacheometers is the measurement of crane rail axes. This measurement is based on polar method and it allows to get the spatial coordinates of points in 3D local system. The standard technology of measurement of crane rail axes and development of its calculations’ results is well-known and widely presented in the subject literature. At the same time new methods of observations results evaluation are developing. Some new proposals for the development of measurement results were already presented in (Kamiński, 2013). This paper is a generalisation of the paper quoted above. The authors developed the concept which was presented there by a proposal for determining rectification corrections for semi gantry crane rail axes. To carried out the task, the parametric method with conditions on parameters was used. Moreover the practical tests on simulated measurement results were conducted. The results obtained from alignment confirmed the theoretical assumptions. Despite the fact that analyses were carried out only on the simulated data, it is already possible to say that presented method for determination of rectification corrections for crane rail axes can be used for development of the observations from real measurement.
Load and interference based demand assignment (LIDA) for integrated services in CDMA wireless systems

To provide a smooth migration path to serve bursty packet data traffic at rates up to four to eight times the basic single (voice) channel rate in wireless CDMA (standard) networks, a unified bandwidth on demand platform is realized by multi-code CDMA which allows users to transmit on demand using multiple codes. We propose a network control strategy that accounts for channel loading, interference, and soft handoff in making the rate assignment and QOS decisions. Our algorithms, called load and interference based demand assignment (LIDA), enable the dynamic, packet-like demand-assigned access of MC-CDMA with load and interference based control in a cellular environment. It protects voice (and other high priority or delay sensitive) isochronous users, but accommodates peak rate access by high data rate users when the load on the channel permits. Thus the sharing of the channel between voice users and high data rate services is possible without the potentially very high voice outage probability.
In‐Vehicle AR‐HUD System to Provide Driving‐Safety Information

Augmented reality (AR) is currently being applied actively to commercial products, and various types of intelligent AR systems combining both the Global Positioning System and computer‐vision technologies are being developed and commercialized. This paper suggests an in‐vehicle head‐up display (HUD) system that is combined with AR technology. The proposed system recognizes driving‐safety information and offers it to the driver. Unlike existing HUD systems, the system displays information registered to the driver's view and is developed for the robust recognition of obstacles under bad weather conditions. The system is composed of four modules: a ground obstacle detection module, an object decision module, an object recognition module, and a display module. The recognition ratio of the driving‐safety information obtained by the proposed AR‐HUD system is about 73%, and the system has a recognition speed of about 15 fps for both vehicles and pedestrians.
New advanced polaritonic photodetector on base of surface barrier structure

The paper is devoted to elaboration of an advanced polaritonic photodetector based on the metal (Au or Al)/semiconductor (GaAs or InP) surface barrier heterostructures (SBH). A basic principle underlying the device operation is surface plasmon resonance (SPR) in a SBH with the microrelief (quasigrating, grating and bigrating) at the interface. Influence of the microstructure of continuous metal films and of island films on the efficiency of photodetectors is also investigated.
Extracting Multiword Sentiment Expressions by Using a Domain‐Specific Corpus and a Seed Lexicon

This paper presents a novel approach to automatically generate Korean multiword sentiment expressions by using a seed sentiment lexicon and a large‐scale domain‐specific corpus. A multiword sentiment expression consists of a seed sentiment word and its contextual words occurring adjacent to the seed word. The multiword sentiment expressions that are the focus of our study have a different polarity from that of the seed sentiment word. The automatically extracted multiword sentiment expressions show that 1) the contextual words should be defined as a part of a multiword sentiment expression in addition to their corresponding seed sentiment word, 2) the identified multiword sentiment expressions contain various indicators for polarity shift that have rarely been recognized before, and 3) the newly recognized shifters contribute to assigning a more accurate polarity value. The empirical result shows that the proposed approach achieves improved performance of the sentiment analysis system that uses an automatically generated lexicon.
Simplified Virtualization in a HEP/NP Environment with Condor

In this work we will address the development of a simple prototype virtualized worker node cluster, using Scientific Linux 6.x as a base OS, KVM and the libvirt API for virtualization, and the Condor batch software to manage virtual machines. The discussion in this paper provides details on our experience with building, configuring, and deploying the various components from bare metal, including the base OS, creation and distribution of the virtualized OS images and the integration of batch services with the virtual machines. Our focus was on simplicity and interoperability with our existing architecture.
Proactive News Article Summarization Service Using Personal Intention Models

Nowadays, we live with a huge amount of data. By IDC report, the amount of data generated in 2011 is about 1.8 ZB (trillion GB). Ironically, there are small amount of useful information when you are looking at a number of papers, internet articles, movies, pictures, and social network posts. As a result, it is required that users extract useful information manually. However, this is tedious and hard task. To solve this problem, a lot of sophisticated techniques have been proposed to provide summarization service. Although each user has different desire on the summarization, the service uses much computational resource to produce standard summarization for all users. In this study, we propose to use machine learning to predict the intention of users on the summarization. It can reduce the computational cost to summarize all the documents and make available proactive summarization service. To validate our proposal, we run experiments with eight participants for two news portals on five topic areas.
Synthesis of fuzzy control systems with desired performance

Fuzzy controllers can be derived from fuzzy models of the process to be controlled, by means of a systematic synthesis approach. The resulting fuzzy control systems have the guaranteed stability and the desired performance. As a result, this approach is superior to other fuzzy controller synthesis techniques where achieving the desired control performances is performed by trial-and-errors. First, it is shown that linear matrix inequality methods allow the design of fuzzy state-feedback controllers for stabilizing a system described by the linear Takagi-Sugeno fuzzy model. Next, the design requirements and desired performances of the control systems should be considered in addition to stability.
Nonlinear system identification by the Haar multiresolution analysis

The paper deals with the problem of reconstruction of nonlinearities in a certain class of nonlinear systems of composite structure from their input-output observations when prior information about the system is poor, thus excluding the standard parametric approach to the problem. The multiresolution idea, being the fundamental concept of modern wavelet theory, is adopted, and the Haar multiresolution analysis in particular is applied to construct nonparametric identification techniques of nonlinear characteristics. The pointwise convergence properties of the proposed identification algorithms are established. Conditions for the convergence are given; and for nonlinearities satisfying a local Lipschitz condition, the rate of convergence is evaluated, With applications in mind, the problem of data-driven selection of the optimum resolution degree in the identification procedure, essential for the multiresolution analysis, is considered as well. The theory is verified by computer simulations.
Learning to swim in new waters : A meta-narrative about the design and implementation of a virtual learning environment for language learning and teaching

In the past 5 years, the Language Centre at the University of Warwick has designed and implemented a blended learning environment in order to meet two important challenges to our Institution-Wide Language Programme (IWLP) language teaching mission. These were to connect teachers and learners together online in order to better support progress where class contact time was limited, and to provide effective support to teaching colleagues with little or no experience of e-learning. Designing the portal, known as Languages@Warwick, involved a complex process of needs analysis, technical and financial understanding and interaction with many stakeholders. Progress in the use of the platform was regularly reviewed and shared with the tutor community in order to inform next steps. This chapter will present an emerging understanding of the nature and impact of the developments set against the rapidly changing technological and pedagogical landscape. One which can perhaps best be described not as a community of practice, as had been expected, but rather as a collection of participatory communities known as collectives.
PN code synchronisers for direct-sequence spread-spectrum systems-a comparative evaluation

Direct-sequence spread-spectrum modulation is being used increasingly in applications such as satellite and digital cellular radio systems where the levels of interference relative to the signal are often very high. In addition, the received signal may be also subject to multipath fading, shadow loss and Doppler frequency offsets and it is under these conditions that acquisition of coarse PN code synchronisation is required to take place in the receiver prior to obtaining accurate phase lock with a tracking loop. Such is the importance of code synchronisation, that much of the complexity of the spread-spectrum receiver lies in the code acquisition and tracking subsystems. Code acquisition strategies such as: serial search, parallel search with maximum likelihood detection and sequential estimation have been used successfully. However, in conditions of very poor SIR, sequential estimation techniques such as RASE and RARASE fail and parallel search strategies, although extremely fast, are expensive. As a consequence, many of the proposed synchronisers are based on a serial search strategy. This paper compares the acquisition performance of some of the more popular serial synchronisers under similar conditions of AWGN.
Active noise control by using prediction of time series data with a neural network

To extend applications of an active noise control system, it is required to reduce the distance from the detection microphone to the error microphone. The reduced distance is needed because of the delays of the system. Although it can be changed by hardware improvements, there is a limit to the amount by which the system can be shortened. The purpose of this paper is to develop a predictor that can shorten the distance. We applied a neural network to predict the time series data of the fan noise. Our investigations showed that fan noise had chaotic features and it was possible to predict the near future data of fan noise by a neural network. Applying the predictor using a neural network to active noise control, the prediction improved the performance of active noise control. These results confirm that the prediction technique is useful for active noise control.
An Adaptive MAC Protocol for Mobile Wireless Sensor Networks

In this paper we propose an adaptive MAC Protocol for WSN with mobile nodes, namely RM-MAC (RSSI-Based Mobility Support MAC). The protocol at first uses RSSI to quantify the nodes’ receiving range for the creating of a list of neighboring nodes. Then, it adopts Kalman filter model to predetermine the mobile nodes’ position after a certain period of time. Finally, by referring to the RSSI values and the predetermine position vector, it builds an adaptive model to coordinate dynamically the synchronizing cycle within the virtual clusters so that the clusters can maintain a high connectivity with the mobile nodes. Simulation results shows that compared with S-MAC, RM-MAC can obtain a higher network connectivity and delivery ratio by dynamically coordinating the synchronizing frequency at the cost of some energy. Furthermore, we find that the delivery ratio has close relationship with the quantification level and the cluster switch thresholds.
The brain in your pocket

Suddenly, in less than two years, a new high‐technology consumer product has swept world markets—the electronic pocket calculator. Such machines range from the relatively simple type that will add, subtract, multiply and divide up to six numerical digits, to the highly sophisticated ‘electronic slide‐rule’, with its instant calculation of square roots, logarithms, trig functions and other scientific esoterica.
A new active queue management algorithm for real-time interactive communication in TCP/IP networks

Recent research has shown that the deployment of active queue management (AQM) would alleviate problems related to high packet loss and long transmission delays and also provide some notion of quality of service (QoS) by intelligent packet marking or dropping. We analyze the relationship between the end-to-end performance and switch nodes' operation state in the current TCP/IP architecture. Based on this analysis, guidelines for performing control actions at gateways are given. A new AQM algorithm, adaptive optimized marking (AOM), is also introduced. We then compare AOM with RED (random early detection) by simulation using ns-2 to show that AOM does improve the end-to-end performance for interactive communications. We also show that a significant performance enhancement for interactive applications in TCP/IP networks is possible, even using the conventional AQM architecture.
A two-level architecture for semantic protection of persistent distributed objects

The article formulates requirements for achieving flexibility and security for distributed persistent objects. We argue for the separation of a user-view level from an implementation level and for the integration of capabilities for semantic protection. We describe a system based on these criteria which allows simple, secure programming of multimedia applications using Java objects distributed across the Internet.
Dynamic features of speech and the characterization of speakers: Toward a new approach using formant frequencies

Previous research in speaker characteristics has tended to focus on static properties of the speech signal. Static features of speech generally display differences between individuals, but are insufficient to characterize a speaker. The present study considers reasons why dynamic features of speech should provide an important source of speaker-distinguishing information. It discusses this idea for formant frequencies in particular, and outlines a new direction for the development of a technique for characterizing individual speakers which uses regression to parameterize formant frequency contours. The technique is trialled and results reported for two data sets.
The rendering context for stereoscopic 3D web

3D technologies on the Web has been studied for many years, but they are basically monoscopic 3D. With the stereoscopic technology gradually maturing, we are researching to integrate the binocular 3D technology into the Web, creating a stereoscopic 3D browser that will provide users with a brand new experience of human-computer interaction. In this paper, we propose a novel approach to apply stereoscopy technologies to the CSS3 3D Transforms. Under our model, each element can create or participate in a stereoscopic 3D rendering context, in which 3D Transforms such as scaling, translation and rotation, can be applied and be perceived in a truly 3D space. We first discuss the underlying principles of stereoscopy. After that we discuss how these principles can be applied to the Web. A stereoscopic 3D browser with backward compatibility is also created for demonstration purposes. We take advantage of the open-source WebKit project, integrating the 3D display ability into the rendering engine of the web browser. For each 3D web page, our 3D browser will create two slightly different images, each representing the left-eye view and right-eye view, both to be combined on the 3D display to generate the illusion of depth. And as the result turns out, elements can be manipulated in a truly 3D space.
VMware as an Intermediate Platform between Windows 7 and Linux Fedora 15 for Real-Time Malaysian Sign Language Translator

This research introduces a virtual interface between Windows 7 and LINUX Fedora 16 based on Virtual Machine ware (VMware) for real-time Malaysian Sign Language (MSL) translation into text and/or voice (in English). The developed method is based on HTK, Gt2k under LINUX Fedora 16 and VC++ 2010 and OpenCV pre 1.1 library under Windows7. The communication between client (Windows7) and server (LINUX Fedora 16) has been established using VMware. The main significance of this approach is that the best characteristics of both operating systems LINUX Fedora 16 and Windows7 have been utilized. Under Windows7, Visual C++ 2010 combined with OpenCV pre 1.1 library supports video processing algorithms and has a power graphical user interface. Meanwhile, the Gt2k for gesture recognition is fully supported under LINUX. Therefore, a client/server technology has secured much time during the MSL recognition system development and helped in terms of algorithms enhancement.
Low-frequency noise in Schottky-barrier diodes

Silicon Schottky-barrier diodes have been developed which simulate the performance of point-contact (1N23WE) diodes in the standard mounts. These diodes along with 1N23 point-contact and back diodes were examined under 9.375 GHz excitation for noise temperature over the IF range of 5 kHz to 180 kHz. The Schottky diodes had noise temperatures comparable to and often lower than the back diodes. This fact, together with lower conversion loss and convenient impedance levels, makes the Schottky-barrier diodes generally advantageous in Doppler radars and similar applications.
Performance Comparison of Error Control Schemes in High Speed Computer

ADVANCES IN BOTH HIGH SPEED SWITCHING AND FIBER OPTICS TECHNOLOGY ARE CHANGING SOME OF THE FUNDAMENTAL PREMISES UPON WHICH TRADITIONAL WIDE-AREA NETWORK PACKET-SWITCHING TECHNOLOGY WAS FIRST DEVELOPED. IT IS THUS APPRO- PRIATE TO CAREFULLY RECONSIDER DESIGN ISSUES FOR PROTOCOLS BUILT UPON THESE RAW HIGH-SPEED TRANSMISSION AND SWITCHING FACILITIES. WE EXAMINE THE PERFORMANCE OF TWO DIFFERENT APPROACHES FOR HANDLING THE LOSS AND/OR CORRUPTION OF MESSAGES AS THEY ARE TRANSMITTED BETWEEN TWO END USERS `IN A HIGH-SPEED NETWORK''. IN THE LINK-BY-LINK APPROACH, TWO ADJACENT NODES IN AN END-TO-END PATH LOCALLY DETECT AND RECOVER FROM MESSAGE LOSS OR CORRUPTION ALONG THEIR JOINING LINK. IN THE END-TO-END APPROACH,RECOVERY IS DONE SOLELY ON THE BASIS OF A SINGLE END-TO-END PROTOCOL. WE DEVELOP ANALY- TIC PERFORMANCE MODELS FOR COMPARING THE PERFORMANCE OF THESE 2 APPROACHES; THESE ANALYTIC MODELS ARE VALIDATED BY SIMULATION. A RESULT OF THIS PAPER IS THAT FOR THE RANGE OF NETWORK PARAMETERS OF PRACTICAL INTEREST, AN END- TO-END APPROACH TOWARDS ERROR CONTROL IS SUPERIOR TO A LINK-BY-LINK APPROACH EVEN UNDER ASSUMPTIONS THAT WOULD OVERLY FAVOR THE LINK-BY-LING APPROACH, WHILE AT THE SAME TIME REQUIREING FEWER NETWORK RESOURCES (E.G., BUFFERS, COMPUTATION TIME) THAN THE LINK-BY-LINK APPROACH. THE MODELS DEV- ELOPED IN THIS PAPER ALSO PERMIT QUANTITATIVE PREDICTIONS TO BE MADE FOR THE DELAY, THROUGHPUT, AND BUFFER OVERFLOW PROBABILITIES AND OCCUPANCY
Authoring of adaptive hypermedia

This chapter focuses on the aspect of Authoring in Adaptive Hypermedia, from some of its different perspectives, including authoring for learning environments. It starts by showing the necessity of research in this area, then describes a new framework model for authoring of Adaptive Hypermedia, LAOS. Within LAOS, the adaptation model, which is the main aspect of adaptive hypermedia, is detailed into a separate model, LAG. The flexibility offered by the LAOS framework is analyzed and estimated. To illustrate the theory, the chapter describes an implementation of this framework, MOT, and test results. The chapter ends with conclusions and some discussion on future trends.
Navigation towards a goal position: from reactive to generalised learned control

The task of navigating to a target position in space is a fairly common task for a mobile robot. It is desirable that this task is performed even in previously unknown environments. One reactive architecture explored before addresses this challenge by denning a hand-coded coordination of primitive behaviours, encoded by the Potential Fields method. Our first approach to improve the performance of this architecture adds a learning step to autonomously find the best way to coordinate primitive behaviours with respect to an arbitrary performance criterion. Because of the limitations presented by the Potential Fields method, especially in relation to non-convex obstacles, we are investigating the use of Relational Reinforcement Learning as a method to not only learn to act in the current environment, but also to generalise prior knowledge to the current environment in order to achieve the goal more quickly in a non-convex structured environment. We show the results of our previous efforts in reaching goal positions along with our current research on generalised approaches.
What can production data teach us about the effectiveness of instructive text design variables

This paper focuses on the way in which production tasks — in this case writing an instructive text — can provide us with data, which can be used to evaluate textual variables which are assumed to be relevant in processing, using, and hence designing instructive texts. The second and third sections describe the set-up and results of a production experiment in which subjects had to write an instructive text given one of two users' conditions: they had to assume that their readers either had to execute the instruction only once (reading-to-do) or that they had to learn the instructions described (read-ing-to-learn). This independent variable was claimed to have an effect on the strategies writers choose, in particular on the way in which they use two important types of information in instructive discourse, goal vs action information. As such, this experiment sheds light on the interaction between use conditions and design characteristics of instructive documents. As the method used in the experiment is not self-evident in assessing the effectiveness of text design variables, the last section evaluates the use of production tasks as a way of replicating, amending, refining and perhaps even outperforming data obtained from other methods.