Miracle-dz/UniFAR-FTUs huggingface dataset:
Lossless Arithmetic Coding of Discrete Vehicular Trajectories

Tracking the movement of vehicles by transmitting or storing their position in regular intervals results in a great amount of redundancy, since vehicles are bound by physical barriers that greatly limit the possible movements. In a previous work, a lossy compression scheme was designed that exposed the redundancy in such discrete trajectories and provided an efficient arithmetic code for them. In this work, the principles of the lossy coder are translated to the lossless domain. This includes the analysis and solution of challenges introduced by the usage of a geodetic coordinate system, which is required to avoid information loss. We furthermore introduce different probability models for the arithmetic coder that cover different use cases and offer great flexibility in terms of resource consumption and required sample data vs. compression. These models are evaluated using real-world data from the OpenStreetMap project. The results show that the discrete trajectories encoded with our scheme are about 20% smaller than the encoding of the best existing lossy and lossless schemes.
Research on Bus Roll Stability Control Based on LQR

Based on the analysis of the bus system dynamics, the five degrees of freedom bus system dynamics equation has been established, using vehicle speed and front wheel angle as input, and sideslip angle, yaw rate, the sprung mass roll angle, the sprung mass roll angular speed, lateral load transfer capacity front axle and rear lateral load transfer capacity as output. According to the linear control theory, the design of LQR control system has been optimized. The established bus active roll control simulation model and the root locus analysis can help to determine the vehicle stability system. The buses roll stability control can be achieved by simulation.
The economic feasibility of using Georgia biomass for electrical energy production

This study investigates the potential for using biomass for the production of electricity in Georgia. The volume, important characteristics, and delivered costs per unit of energy are estimated for various locally produced biomass. Production of synthetic fuels using both pyrolysis and gasification technologies is investigated as potential means for converting biomass into electricity. Capital and operating costs for each of these two technologies are projected across three different scales of production. Estimated costs per unit of electricity generated are determined. It appears, under the conditions modeled, these technologies are not cost competitive with currently used technologies. Significant subsidies would be needed to induce the adoption of these technologies under current economic conditions.
A feature-based object tracking approach for realtime image processing on mobile devices

In this paper we present a robust object tracking approach which is suitable for real-time image processing on mobile devices. Challenging mobile environments render traditional color-based tracking methods useless. Many online learning tracking methods are too computationally complex to be used for real-time mobile applications, which only have access to limited computational resource and memory storage. The proposed method takes advantage of local feature to deal with rapid camera motion, and employs an online feature updating scheme to cope with variation in object appearances. The method is also computationally lightweight, being able to support real-time image processing on mobile devices.
A new Taxonomy for the Quality of Telephone Services Based on Spoken Dialogue Systems

This document proposes a new taxonomy for describing the quality of services which are based on spoken dialogue systems (SDSs), and operated via a telephone interface. It is used to classify instrumentally or expert-derived dialogue and system measures, as well as quality features perceived by the user of the service. A comparison is drawn to the quality of human-to-human telephone services, and implications for the development of evaluation frameworks such as PARADISE are discussed.
Adaptive ethnography: Methodologies for the study of mobile learning in youth culture

submitted to the conference "Seeing, Learning, Understanding in the Mobile Age", Budapest 28th April – 30th April By Mette Berth, PhD student, DREAM University of Roskilde Email: mett@ruc.dk Mobile media and mobile phones in particular have traditionally been characterized as disruptive technologies rather than something which holds a potential for learning. Recently there has been increasing interest in the possibilities of mobile learning as researchers are realizing the vast importance of these devices in society, especially within youth culture (Attewell & Savill-Smith 2003). However, before we even begin to develop learning materials on a mobile platform, it is necessary to study the actual use of mobile phones in a learning perspective. This is where processual methodologies are necessary in order to answer questions such as what do young people do with mobile phones? what affordances does this medium have in a Gibsonian perspective (Gibson 1979)? and is it possible to speak of learning processes when studying mobile phone use in formal as well as informal learning contexts? These are some of the questions discussed in the paper. The point of departure for this paper is a PhD project on mobile learning. A user-oriented research design for this project is outlined in the paper, describing a triangulating and adaptive approach blending methods such as observation, various interviewing techniques, and computer logging of calls and messages in an effort to explore the learning processes of young mobile phone users. Going outside the scope of the PhD project at hand, the paper calls for an adaptive methodological approach (Hine 2000) and describes various research designs for studies of mobile phone use with the aim of suggesting new and adaptive ways of using processual methodologies to investigate the concept of mobile learning. Bio: Mette Berth is a Danish PhD scholar whose current research project is called “Mobile learning: a study of the learning processes of young people in formal and informal learning contexts”. The project is commissioned by DREAM (Danish Research Centre on Education and Advanced Media Materials) and aims to deliver theoretical and empirical basis for developing educational materials on a mobile platform. Currently Mette Berth is working at Department of Communication, Journalism and Computer Science at Roskilde University. Previous research has focused on convergence of media and young people’s media use, including a thesis on the Danish youth website SKUM, which proved that it would be fruitful to add a sociocultural layer to the discussions on convergence, introducing the concept of cultural convergence in youth culture.
The Specific of the Power Relationship

The study emphasizes that political power is the generalized social function of making decisions for the whole global society in accordance with the interests of those who dominate the power system, and to ensure the fulfillment by the sovereign authority and by means of public force. The exercise of power is the central dynamic in the process of social organization, we should note, in the same time, that the power does not characterize all the social relations and that, conversely, there are types and forms of such relationships that are established and manifested in the absence of power.
MusicDB: A Platform for Longitudinal Music Analytics

With public data sources such as Million Song dataset, researchers can now study longitudinal questions about the patterns of popular music, but the scale and complexity of the data complicate analysis. We propose MusicDB, a new approach for longitudinal music analytics that adapts techniques from relational databases to the music setting. By representing song timeseries data relationally, we aim to dramatically decrease the programming effort required for complex analytics while signiﬁcantly improving scalability. We show how our platform can improve performance by reducing the amount of data accessed for many common analytics tasks, and how such tasks can be implemented quickly in relational languages — variants of SQL. We further show that expressing music analytics tasks over relational representations allows the system to automatically parallelize and optimize the resulting programs to improve performance. We evaluate our system by expressing complex analytics tasks including calculating song density and beat-aligning features and showing signiﬁcant performance improvements over previous results. Finally, we evaluate expressiveness by reproducing the results from a recent analysis of longitudinal music trends using the Mil-lion Song dataset.
Towards the next generation of 3D content creation

In this paper we present a novel integrated 3D editing environment that combines recent advantages in various fields of computer graphics, such as shape modelling, video-based Human Computer Interaction, force feedback and VR fine-manipulation techniques. This integration allows us to create a new compelling form of 3D object creation and manipulation preserving the metaphors designers, artists and painters have accustomed to during their day to day practice. Our system comprises a novel augmented reality workbench and enables users to simultaneously perform natural fine pose determination of the edited object with one hand and model or paint the object with the other hand. The hardware setup features a non-intrusive, video-based hand tracking subsystem, see-through glasses and a 3D 6-degree of freedom input device. The possibilities delivered by our AR workbench enable us to implement traditional and recent editing metaphors in an immersive and fully three-dimensional environment, as well as to develop novel approaches to 3D object interaction.
Il modello di specializzazione internazionale dell'Italia e dei principali paesi europei: omogeneitï¿½ e convergenza

This paper compares main European countries and the euro area specialization patterns. The analysis, that covers the period 1988-1997 and is based on a detailed sectoral breakdown, provides evidence to assess the degree of structural differences and convergence among European countries, which have become important issues since the birth of the European monetary union. We find that the former ones are quite large. While France and Germany are very similar to the area as a whole, Italy and Spain results to be different, with comparative advantages over goods whose production requires technologies operated by unskilled workers. This is particularly true for Italy that therefore might be more exposed to asymmetric effects of exogenous shocks and even of European policies. From the evolution of specialization patterns between the beginning and the end of the nineties, we find weak signs of convergence within the euro area; again Italy differs and shows a slower and more uncertain path of change, even when compared to Spain.
Synaptic organisation of the basal ganglia

The basal ganglia are a group of subcortical nuclei involved in a variety of processes including motor, cognitive and mnemonic functions. One of their major roles is to integrate sensorimotor, associative and limbic information in the production of context‐dependent behaviours. These roles are exemplified by the clinical manifestations of neurological disorders of the basal ganglia. Recent advances in many fields, including pharmacology, anatomy, physiology and pathophysiology have provided converging data that have led to unifying hypotheses concerning the functional organisation of the basal ganglia in health and disease. The major input to the basal ganglia is derived from the cerebral cortex. Virtually the whole of the cortical mantle projects in a topographic manner onto the striatum, this cortical information is ‘processed’ within the striatum and passed via the so‐called direct and indirect pathways to the output nuclei of the basal ganglia, the internal segment of the globus pallidus and the substantia nigra pars reticulata. The basal ganglia influence behaviour by the projections of these output nuclei to the thalamus and thence back to the cortex, or to subcortical ‘premotor’ regions. Recent studies have demonstrated that the organisation of these pathways is more complex than previously suggested. Thus the cortical input to the basal ganglia, in addition to innervating the spiny projection neurons, also innervates GABA interneurons, which in turn provide a feed‐forward inhibition of the spiny output neurons. Individual neurons of the globus pallidus innervate basal ganglia output nuclei as well as the subthalamic nucleus and substantia nigra pars compacta. About one quarter of them also innervate the striatum and are in a position to control the output of the striatum powerfully as they preferentially contact GABA interneurons. Neurons of the pallidal complex also provide an anatomical substrate, within the basal ganglia, for the synaptic integration of functionally diverse information derived from the cortex. It is concluded that the essential concept of the direct and indirect pathways of information flow through the basal ganglia remains intact but that the role of the indirect pathway is more complex than previously suggested and that neurons of the globus pallidus are in a position to control the activity of virtually the whole of the basal ganglia.
Modelling KOSPI200 Data Based on GARCH(1,1) Parameter Change Test

Since the seminal work of Engle (1982), many researchers and practitioners have developed ARCH-type models to deal with volatility modelling, which, for instance, is crucial to perform the task of derivative pricing, measuring risk, and risk hedging. In this paper, we base the GARCH(1,1) model to analyze the KOSPI200 data, and perform the CUSUM test for detecting parameter changes in the GARCH model. It is shown that the data suffers from a parameter change.
Data Compression for Antenna Pattern Storage and Retrieval

The radiation patterns of antennas can be represented as three-dimensional gain surfaces in space, with gain being specified with respect to azimuth and elevation. The data required to specify a wide band antenna pattern over its upper hemisphere, at angular and frequency resolutions sufficiently fine to capture its salient features and over its complete frequency range, is not insignificant. Timely access to this amount of data in a limited computing environment can present difficulties. This paper describes some of the work being performed at ATEA using data compression techniques to overcome this problem.
State Dual Enrollment Policies: Addressing Access and Quality

Policymakers and educators continue to seek options for helping high school students transition successfully into postsecondary education. This interest stems, in part, from evidence that American students are unprepared for college—nearly half of all postsecondary students need at least one remedial course upon entering college (NCES, 2002). A body of research demonstrates that postsecondary success is predicated on a clear understanding of the expectations in college as well as rigorous academic course work in high school (Venezia, Kirst, and Antonio, 2003; Adelman, 1999). This suggests that high schools and colleges should work together to ensure students’ high school experiences are related to college expectations. Dual enrollment programs can do just that: blur the distinction between high school and college by allowing high school students to enroll in college courses and earn college credit. In dual credit programs, the college course yields high school credit as well. Traditionally, dual enrollment has been targeted toward the most academically proficient high school students. Some educators and policymakers now suggest that a broader range of students could benefit from these programs; many more students could achieve at the college level earlier if only they are challenged to do so. And, by exposing high school students to the academic and social demands of college, it is hoped that the need for remediation in college will be reduced (AASCU, 2002; Martinez and Bray, 2002; National Commission on the High School Senior Year, 2001). This Brief, based on a longer report of the same title, examines how – and whether – access to dual enrollment programs is influenced by state policies. The regulatory landscape of dual enrollment is unclear. In many states, these programs have only recently become the subject of legislation. Thus, we summarize dual enrollment legislation in all 50 states, as of the end of 2003. We analyze the implications of state policies for programs and students, in particular the ways that policies can promote or inhibit broad student participation in dual enrollment. It is important to note that local interpretations of state-level legislation may result in programs operating differently than state policy intends. However, we focus on policies as written, rather than program practices.
Is Indian Industry Demand or Supply Constrained

﻿Is Indian Industry Demand or Supply Constrained? Ashok Kumar Lahiri Prannoy Roy The growth of Indian industry has been held by some to be limited 'supply constraints' and shortages in savings resulting from an inadequacy in the production of capital goods. On the other hand, the question has been raised by others whether there is not some role for 'demand' as a factor constraining growth. The aim of this paper is to provide a systematic empirical test to identify the years (if any) in which the Indian industrial sector was demand constrained and those in which it was supply constrained.
Use of the UPOINT phenotype system in treating Chinese patients with chronic prostatitis/chronic pelvic pain syndrome: a prospective study

The urinary, psychosocial, organ-specific, infection, neurological/systemic and tenderness (UPOINT) phenotype system has been validated to be an effective phenotype system in classifying patients with chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) in western populations. To validate the utility of the UPOINT system and evaluate the effect of multimodal therapy based on the UPOINT system in Chinese patients with CP/CPPS, we performed this study. Chinese patients with CP/CPPS were prospectively offered multimodal therapy using the UPOINT system and re-examined after 6 months. A minimum 6-point drop in National Institutes of Health-Chronic Prostatitis Symptoms Index (NIH-CPSI) was set to be the primary endpoint. Finally, 140 patients were enrolled in the study. The percentage of patients with each domain was 59.3%, 45.0%, 49.3%, 22.1%, 37.9%, and 56.4% for the UPOINT, respectively. The number of positive domains significantly correlated with symptom severity, which is measured by total NIH-CPSI scores (r = 0.796, P< 0.001). Symptom duration was associated with a greater number of positive domains (r = 0.589, P< 0.001). With 6 months follow-up at least, 75.0% (105/140) had at least a 6-point improvement in NIH-CPSI after taking the therapy. All NIH-CPSI scores were significantly improved from original ones: pain 10.14 ± 4.26 to 6.60 ± 3.39, urinary 6.29 ± 2.42 to 3.63 ± 1.52, quality of life 6.56 ± 2.44 to 4.06 ± 1.98, and total 22.99 ± 7.28 to 14.29 ± 5.70 (all P< 0.0001). Our study indicates that the UPOINT system is clinically feasible in classifying Chinese patients with CP/CPPS and directing therapy.
A new encryption scheme based on hybrid Problems

In 1976 Diffie and Hellman gave the path breaking concept of public key cryptosystem. After that many public key cryptographic algorithms have been proposed based on single mathematical problem. Enhancing security is the major objective for public key cryptosystem on the basis of hardness of the intractable computational problem. To enhance security a new public key encryption scheme is designed based on two hard problems namely expressing a torsion point into linear combination of basis points and factoring. Since former is more complicate than solving ECDLP. So our proposed scheme is more secure than cryptosystems based on ECDLP and factoring. Therefore, this scheme is expected to gain a higher level of security. Developed scheme is more efficient with respect to encryption and decryption since it requires only minimal operations in both algorithms.
An Investigation of Wavelet Packet Transform for Spectrum Estimation

In this article, we investigate the application of wavelet packet transform as a novel spectrum sensing approach. The main attraction for wavelet packets is the tradeoffs they offer in terms of satisfying various performance metrics such as frequency resolution, variance of the estimated power spectral density (PSD) and complexity. The results of the experiments show that the wavelet based approach offers great flexibility, reconfigure ability and adaptability apart from its performances which are comparable and at times even better than Fourier based estimates.
Query Adaptive Search System Based On Hamming Distance for Image Retrieval

The most recent active topic of research for image retrieval is scalable image search based on visual similarity. The main motivation for image retrieval is based on image ranking, given by multiple retrieval methods without affecting their scalability. This paper describes ranking and retrieval as graphs of candidate images and proposes a graph-based query specific rank fusion approach, in which graphs are created by using nearest neighbour node and multiple graphs are merged together and re-ranked them by conducting link analysis on the fused graph. Then rank fusion maintains the efficiency and scalability of image retrieval by applying the rank aggregation method. The proposed system will add the query adaptive image to the search system. In this system, hamming distance is calculated and query adaptive weights are computed between query image and database image. Based on these weights, images are ranked. A finer-grained ranking of search results is produced by query --adaptive approach. The proposed will improve the efficiency and scalability of image retrieval.
Statistical Pattern Based Real-Time Smoke Detection Using DWT Energy

This paper proposes a novel method to detect smoke using statistical patterns which are DWT energy. In general, shape of smoke is not clear and color and diffusion direction of smoke depends on the environment. Therefore, if small pieces of smoke's information are used, false detection rate is increased. In this paper, the foreground is detected by robust method to environment changes. After its detection, DWT energy, shape, and color information of objects in the foreground are used to determine the smoke. The proposed method is suitable for the early detection. The proposed method takes the average processing time of 30 fps and approximately 7 seconds at the detection smoke from the moment the initial fire. False detection rate for the proposed method is lower than that for the previous method.