Miracle-dz/UniFAR-FTUs huggingface dataset:
Fotocatálise heterogênea com TiO2 para oxidação de arsênio e sua remoção de águas por coprecipitação com sulfato férrico

The oxidation of arsenic (As(III) to As(V)) in water samples was performed by heterogeneous photocatalysis using a TiO2 film immobilized inside a photochemical reactor. After oxidation, As(V) was removed from the water samples by coprecipitation with ferric sulfate. The final conditions of oxidation and arsenic removal (TiO2 film prepared with a suspension: 10% (w/v); pH: 7.0; oxidation time: 30 min and Fe3+ concentration: 50 mg L-1) were applied in natural water samples which were supplemented with 1.0 mg L-1 of As(III) to verify the influence of the matrix. After treatment, more than 99% of arsenic was removed from the water.
Air quality management in Auckland, New Zealand

Air quality in New Zealand is perceived by many to be very good. This is facilitated by low population density, geographical isolation and a maritime climate. The climate and weather of New Zealand is also affected by large scale wind systems which promote westerly winds and aid dispersion. Despite favourable conditions, air pollution is a problem in many urban centres in New Zealand. Although industrial emissions contribute to pollution, emissions from domestic and traffic sources are significant. Outdoor burning and domestic fires are common, and are a major source of air pollutants and complaints. National Environmental Standards for Ambient Air Quality were introduced in 2004 but these are unlikely to be achieved in a number of locations including Auckland, New Zealand’s largest city, where traffic emissions are the major source of air pollution. Auckland’s population is 1.3 million people (almost one third of the national total). The city covers an area approximately equal in size to London. Poorly developed public transport services and urban sprawl have resulted in reliance on private vehicles, and ownership rates in New Zealand are among the highest in the world. In conjunction with an aged vehicle fleet and severe traffic congestion, the resulting air pollution has become a significant issue in Auckland. This paper considers the process of air quality management in New Zealand, illustrated by the particular problems systemic to Auckland. Policy responses include a Regional Land Transport Strategy with health protection as a key objective. However, it is far from certain whether these will successfully deliver cleaner air, and further national guidance and additional transport focussed regulations may be needed to achieve the air quality improvements in Auckland necessary to meet the national Standards.
Monitoring Of PM10 Air Pollution In SmallSettlements Close To Opencast Mines In TheNorth-Bohemian Brown Coal Basin

In the past, due to air pollution, the North-Bohemian Brown Coal Basin used to belong to the famous zone called the “Black Triangle” which also covered the lower parts of Silesia and Saxony. The air pollution was for the greatest part caused by large industrial sources where its impact on the forest ecosystems gained a cross-border character. At the beginning of 1990s, after reduction measures in industry and the implementation of stricter environmental laws, the air condition started to improve rapidly. Due to extensive opencast brown coal mining and the presence of large combustion resources the area is still classed as a region with a poor air quality mainly due to increased concentrations of dust particles. In recent years the increasing effect of local combustion sources on air pollution may be seen. Nevertheless the air pollution in small settlements has not been mapped sufficiently. The article is based on the data collected from mobile measurements of air purity executed within the remit of the subgroup “emissions-immissions” of the research project “Research of physical and chemical features affected by coal mining, its use and impact on environment in the North-Western Bohemia region”. The measurement was performed in the selected communities close to the opencast mines in the period 2004–2007. The aim was to evaluate the immissions status in the small settlements selected from the North-Bohemian region, to appraise the predicative value of collected results and prepare a methodology concept of mobile measurements to describe the local immission situation. This article extends the information gained from mobile measurement and the data from the stationary measuring stations and also takes into account significant sources of pollution such as coal power plants in the North-Bohemian Brown Coal Basin. The results collected during the series of measurements in the course of heating and non-heating seasons are simultaneously compared with the data regarding the manner of heating and type of the fuel used for heating in the communities.
The Design and Realization of Cloud Computing Framework Model Based on SOA

Cloud computing is a system which provide hardware services, infrastructure services, platform services, software services, storage services to a variety of Internet applications, and SOA is a component model, it will rely on well-defined interfaces between services and linked contract applications. In this paper, combined cloud computing and SOA together closely to form a cloud computing framework model based on SOA, So that the clouds provide in a simple and flexible way to offer services. And it gives a realization of the model. Experiments show that the model is simple, practical and fully reflects the cloud computing and service-oriented architecture advantages.
A Connectionist Model of Choice and Reaction Time in Absolute Identification

A connectionist architecture is developed that can be used for modeling choice probabilities and reaction times in identification tasks. The architecture consists of a feedforward network and a decoding module, and learning is by mean-variance back-propagation, an extension of the standard back-propagation learning algorithm. We suggest that the new learning procedure leads to a better model of human learning in simple identification tasks than does standard back-propagation. Choice probabilities are modeled by the input-output relations of the network and reaction times are modeled by the time taken for the network, particularly the decoding module, to achieve a stable state. In this paper, the model is applied to the identification of unidimensional stimuli; applications to the identification of multidimensional stimuli—visual displays and words—is mentioned and presented in more detail in other papers. The strengths and weaknesses of this connectionist approach vis-a-vis other approaches are discussed
A Power‐Efficient CMOS Adaptive Biasing Operational Transconductance Amplifier

This paper presents a two‐stage power‐efficient class‐AB operational transconductance amplifier (OTA) based on an adaptive biasing circuit suited to low‐power dissipation and low‐voltage operation. The OTA shows significant improvements in driving capability and power dissipation owing to the novel adaptive biasing circuit. The OTA dissipates only 0.4 μW from a supply voltage of ±0.6 V and exhibits excellent high driving, which results in a slew rate improvement of more than 250 times that of the conventional class‐AB amplifier. The design is fabricated using 0.18‐μm CMOS technology.
Information Technology Research

In a recent editorial ( Science 's Compass, 6 Aug., p, [833][1]), D. Allan Bromley comments on “appropriate” information technology (IT) research. I agree fully with the importance he attaches to fundamental research and to continued support of basic sciences that would lead to new advances that would have an impact on IT. However, contrary to some of his comments, that is also what the President's Information Technology Advisory Committee (PITAC) report recommended. That committee simply had a different (broader and, I believe, sounder) view of basic IT research than what Bromley presents. Bromley draws far too narrow a boundary around the sciences that are basic to research in IT, identifying them largely with the physical sciences underlying IT hardware. Without denigrating the importance of continuing development of faster and more reliable hardware, I believe that the most critical and fundamental research questions in IT for the coming decades, as PITAC argued correctly, concern the basic principles of the organization of complex information-processing systems, at both hardware and software levels. These are not primarily physical-science problems, but arise wherever high levels of system complexity are found. These organizational problems are, for example, central to understanding the evolution of biological systems and adaptive and learning systems in general, including IT systems. There is a whole history of disaster in IT research that ignored such organizational problems (for example, research on the design of parallel general-purpose systems), and the computer industry lagged for decades in recognizing the importance of relevant basic software research. Theory and design of the organization of both hardware and software are crucial to the success of the enormous, highly decentralized systems that are already becoming an integral part of our whole industrial, governmental, military, and social communication structure and which are today given real-world tasks that are way beyond their capabilities for rapid, accurate, intelligent, and safe performance. Bromley is mistaken in saying that House bill H.R. 2086 is simply supporting competitive industries. Solutions to fundamental software problems of designing ultra-complex systems are extremely important for the future security and competitiveness of the nation, they are not of burning interest to industry today, and they are largely pursued in universities. The PITAC report also recommended a study of the social implications of IT. These equally basic and important research problems must also be addressed vigorously by the public sector. [1]: /lookup/doi/10.1126/science.285. 5429.833
A comparison of direct torque control methodologies for induction motor

Direct torque control of inverter-fed induction motor allows high dynamic performance by means of very simple control schemes. In this paper various direct torque control methodologies (classical DTC, DSVM-DTC and SVM-DTC) have been analysed and compared in order to evaluate the influence of the motor operating condition on steady state performances. A particular emphasis on stator current distortion and on torque ripple has been made. Having a larger number of available voltage vector, DSVM-DTC presents smaller torque ripple than classical-DTC and shows the same flux and stator current performances. SVM-DTC achieves the best performances, but it uses more complex scheme and it depends on motor parameters. Experimental tests have been carried out in order to validate the proposed analysis.
Authenticated Broadcast in Heterogeneous Wireless Sensor Networks using Chinese Remainder Theorem Algorithm

Problem statement: The security in Wireless Sensor Networks (WSN) is a critical issue due to the inherent limitations of computational capacity, storage capacity and power usage. Key management only makes sure the communicating nodes possess the necessary keys, at the same time protecting the confidentiality, integrity and authenticity of the communicated data. Approach: Proposed a RSA-CRT methodology for authenticated broadcast in the wireless sensor networks and analyzed the proposed with existing methodologies indicating their advantages, drawbacks and weaknesses. Results: The proposed RSA with CRT algorithm is improved the secured routing paradigm and provides efficient key management which using optimal encryption/decryption of broadcast messages authentication. Conclusion: The proposed system countermeasures the attacks in the network layer of WSN and it will reduce the communication overhead, storage space and energy consumption of nodes.
Focus system sensor characterisation by mechanistic-empirical modelling

Focus system sensor characterisation involves the determination of physical quantities from experiment. Herewith an experimental model will need to specify how the sensor is expected to respond to input data and the quality of information obtained depends directly on the performance of the model. With this concern novel model building and solving techniques have been created for sensor comprehensive characterisation. These techniques incorporate a priori knowledge-based approach in mechanistic model elaboration and for attainment the enhanced level of adequacy, accuracy, and precision carry out the approximation of the exact unknown model simultaneously by available mechanistic and polynomial empirical functions. Two different approaches for mechanistic-empirical model solving have been fashioned. These techniques allow the achievement of the high degree of completeness in elaborated models. From models’ validation it has been found that the novel techniques in comparison with pure empirical modelling permit to attain less discrepancy to empirical evidence for the whole region of interest for concerned explanatory variables.
The stylization of intonation contours

This paper presents the stylization of intonation contours and clustering of F0 movements on accented and post-accented syllables based on annotated speech corpora. Special software – PitchLine – has been developed to enable the flexible quasiautomatic segmentation and parametrization of intonation curves. The experimental material obtained from a 15 min passage read by a male speaker included more than 1200 annotated accents and several hundred phrase boundaries. The accuracy of the stylization method was evaluated by measuring the NMSE between original and stylized F0 contours and in a perception study. Stylized F0 contours which were perceived as very different from the original ones required further analysis and re-stylization. Finally, 640 monotonal accents formed 6 clusters and 580 bi-tonal accents formed another 6 clusters. The results of clustering confirmed the correctness of the stylization rules.
Development of a System for Automatic Facial Expression Analysis

Automatic recognition of facial expressions can be an important component of natural human-machine interactions. While a lot of samples are desirable for estimating more accurately the feelings of a person (e.g. likeness) about a machine interface, in real world situation, only a small number of samples must be obtained because the high cost in collecting emotions from observed person. This paper proposes a system that solves this problem conforming to individual differences. A new method is developed for facial expression classification based on the combination of Holographic Neural Networks (HNN) and Type-2 Fuzzy Logic. For the recognition of emotions induced by facial expressions, compared with former HNN and Support Vector Machines (SVM) classifiers, proposed method achieved the best generalization performance using less learning time than SVM classifiers.
International Journal of Recent Trends in Engineering , Vol 2 , No . 7 , November 2009 61 Image Fusion By Global Energy Merging

One of the most important fields about image analysis and computer vision is image fusion. With the development of multi-sensors, it is possible to obtain data from different sensors A new and improved image can be got if taking into account all the images. So image fusion has emerged as a promising research field in recent years and it is of great importance in many applications, such as medical imaging, object detection, Automatic Target Recognition, remote sensing, computer vision, smart buildings, complex machinery, meteorological imaging and military applications. This paper proposes Image fusion by using Global Energy merging scheme in discrete wavelet Transform. The scheme used is a region-based analysis approach. Multi-resolution wavelet decomposition on each source image is performed and the energy of each 3*3 matrix region is calculated. The match measures are calculated for the fused image, it can be produced using wavelet decomposition coefficient and the energy. Finally by applying the inverse wavelet transform the final fused image is obtained. The fused images can preserve more relevant information about edges. Experiments showed that proposed paper will have very low RMSE (Root Mean Square Error) value and high quality fused image there by resulting in better performance than existing image fusion methods.
User's Individuality Preference Recommendation System using Improved k-means Algorithm

Abstract In mobile terminal recommend service system has general informa tion restrictive recommend that individuality considering to user's information find and recomm end. Also it has difficult of accurate information recommend bad points user's not offer individuality information preference recommend service. Therefore this paper is propose user's information ind ividuality preference considering by user's individuality preference recommendation system using imp roved k-means algorithm. Propose method is correlation coefficients using user's information ind ividuality preference when user's individuality preference recommendation using improved k-means algorithm. Restrictive information recommend to fix a problem, information of restrictive general recommend that user's information individuality preference offer to accurate information recommend. Performance experiment is existing service system as compared to evaluating the effectiveness of precision and recall, performance experiment result is appear to precision 85%, recal l 68%. ∙제1저자 : 안찬식 교신저자 : 오상엽∙투고일 : 2010. 03. 30, 심사일 : 2010. 05. 10, 게재확정일 : 2010. 05. 26. * 광운대학교 컴퓨터공학과 박사과정 ** 경원대학교 IT대학 컴퓨터소프트웨어※ 본 연구는 2010년도 경원대학교 지원에 의한 결과임.
A Two-Stage Approach for Project Reviewer Assignment Problem

In this paper we employ a two-stage approach to solve the project reviewer assignment problem. The objective is to best satisfy the preferences of reviewers. In addition, the number of total movement times of reviewers is minimized. Reviewers are first invited to show their preferences to the projects with a number to indicate their priority. After aggregating the data, a two-stage approach is used to best match the reviewers and projects. At the first stage reviewers are assigned, while at the second stage review venues are arranged in a way that the total change times of venues for reviewers are minimized. The results show that the proposed two-stage scheme is very helpful in solving the project reviewer assignment problem.
Human factor integration into the development of a realistic tree-rendering system based on lidar remote sensing

This paper introduces application of the Cave Automatic Virtual Environment (CAVE) to forest visualization and user studies which were designed to gain insight into human factors for system development. This interdisciplinary research project was undertaken by the Visualization, Analysis, and Imaging Laboratory and the Department of Forestry at Mississippi State University (MSU). The purpose was to create a forest management tool for remote examination of stands in a stereoscopic environment which allows users to observe and interact with realistic virtual stands. The datasets used in this study include measurements such as total height, Diameter at the Breast Height (DBH), and crown radii. The datasets were directly and indirectly generated from Light Detection and Ranging (LiDAR) data. The datasets from immature (eight-years-old) high density and mature (40-years-old) low density loblolly pine (Pinus taeda) stands were used to generate three types of tree models. These three models represent trees in different graphic-complexities and thus interactivity. In general, higher fidelity is preferred in visualization. However, there is a trade-off between graphic details and interaction speed. To determine an optimal model, a user study was designed to examine the influence photo-reality and interactivity have on the viewer's perception. Human subjects recruited from MSU's Department of Forestry will explore virtual stands rendered with one of the tree models in the CAVE and estimate forest parameters.
Approaches to optimization of SS/TDMA time slot assignment

Reduction techniques for traffic matrices are explored in some detail. These matrices arise in satellite switched time-division multiple access (SS/TDMA) techniques whereby switching of uplink and downlink beams is required to facilitate interconnectivity of beam zones. A traffic matrix is given to represent that traffic to be transmitted from n uplink beams to n downlink beams within a TDMA frame typically of 1 ms duration. The frame is divided into segments of time and during each segment a portion of the traffic is represented by a switching mode. This time slot assignment is characterized by a mode matrix in which there is not more than a single non-zero entry on each line (row or column) of the matrix. Investigation is confined to decomposition of an n x n traffic matrix by mode matrices with a requirement that the decomposition be 100 percent efficient or, equivalently, that the line(s) in the original traffic matrix whose sum is maximal (called critical line(s)) remain maximal as mode matrices are subtracted throughout the decomposition process. A method of decomposition of an n x n traffic matrix by mode matrices results in a number of steps that is bounded by n(2) - 2n + 2. It is shown that this upper bound exists for an n x n matrix wherein all the lines are maximal (called a quasi doubly stochastic (QDS) matrix) or for an n x n matrix that is completely arbitrary. That is, the fact that no method can exist with a lower upper bound is shown for both QDS and arbitrary matrices, in an elementary and straightforward manner.
State of the arts and future of GPU computing

PCのグラフィックボード(GPU)の果たす役割は年々加速しており，CPU中心の計算環境からGPU中心の計算環境へと徐々に移行している．また，GPUの持つ機能をプログラムで利用できる環境が整ったことにより，GPUをグラフィック処理専用のCPUの補助プロセッサとしてではなく，並列計算機として応用する研究が活発化している．本論文では，GPUコンピューティングで何が可能となり，今後どのような発展が期待できるかを，具体的な例を挙げながら述べる．
Research on Influential Factors of Visual Website Aesthetics Basing on Multiple Linear Regression Method

Visual aesthetics has showed a reliable association with user experience and how to measure the whole visual aesthetic feeling of a web is a challenge. This research aims to provide a regression equation between visual aesthetics and influential factors by constructing a multiple linear regression model. The final result includes six factors, and those are color, style, novelty, font, figure and movement. The model also gives the ranking of the influence power. In a word, this article not only gives a mathematical algorithm to solve the aesthetics problems, but also provides a new way to help designers access to a better visual effect.
A texture-based approach for extracting residential areas from high-resolution imagery

The diversity of the spatial scale of landscape raises the requirement of multiscale analysis of remote sensing (RS) images. Usually the first step to analyze remote sensing images is image segmentation, in which the muitiscale effect should be taken into account to achieve satisfactory segmentation results. This paper describes an effective approach to segment remote sensing images in multiscale. Based on the fact that in a specific scale of a remote sensing image the same objects are similar, the image is first segmented in a small scale by uniting the most similar objects. After that, a set of multiscale objects with full topological relationship can be obtained. Based on the set of multiscale objects, the authors explore the application of this approach in object-oriented information extraction from remote sensing images.