Miracle-dz/UniFAR-FTUs huggingface dataset:
IJARAS Robust Stabilizer Design by Using QFT

Static Synchronous Series Compensator (SSSC) is a voltage-sourced converter-based series compensator and was proposed within the concept of using converter-based technology uniformly for shunt and series compensation, as well as for transmission angle control. It has been successfully applied in power systems. This paper presents the application of supplementary stabilizer based on SSSC in order to stability enhancement. The ability of the proposed method is evaluated in an electric power system. Quantitative feedback theory (QFT) is used to design the proposed stabilizer.
A regional multimodulus algorithm for blind image deconvolution

We propose an efficient scheme for blind image restoration that takes advantage of recent advances in blind algorithms used for equalization of communication channels. It is based on a blind adaptive algorithm that interprets images with more than two grayscale levels as images with only two grayscale levels. In order to take a greater advantage of the adaptive scheme, we also propose some changes in the implementation of the algorithm. The performance of our proposal is illustrated by means of simulations, where we show its advantages with respect to an existing image deconvolution scheme based on the two-dimension constant modulus algorithm.
Automatic extraction of multiword expression candidates for Indonesian language

The utilization of dictionary-based multiword expressions (MWEs) has limitation regarding the availability of the word combination, because there are many possible multiword expressions that can be extracted from a text. This research is a preliminary study to extract multiword expressions from a text for Indonesian language. The aim of this study is determining the best method to extract multiword expression candidates for Indonesian language. This research proposed a method to extract multiword expression candidates from texts in a corpus. The text is tokenized and then filtered with stop words to remove unnecessary words. The result of these steps is multiword expression candidates that are still mixed with common and uncommon multiword expressions. To filter uncommon multiword expressions, they are ranked with the other multiword expressions from the other texts within the same corpus by using TF-IDF algorithm. This research evaluates three options for extracting multiword expression candidates. The option which utilizes combination of special characters and stop words to determine word combination is promising because it excels in combining word rate, has more appropriate multiword expression candidates, while it spends almost the same amount of memory usage compared to the others.
Attitudes toward Peer Assessment in Initial Teacher Education Students: An Exploratory Case Study

This paper explores the attitudes of Design and Technology (D&T) initial teacher education students toward peer assessment. Through a small scale case study, the research uses a quasi-experimental approach to examine participant’s perception of peer assessment prior and subsequent to a set of experiential intervention activities that were designed to develop a democratic and dialogic conceptulisation of peer assessment rooted in critical pedagogy. It was hypothesised that exposure to these intervention activities might alter participant’s perceptions of the peer assessment process. Findings from the research suggest this hypothesis to be accurate and appear to reveal a change in participant attitudes to peer assessment from one dominated by teacher-centred, or didactic, understandings to one where the role of student voice should be central. The subsequent interpretation and discussion seeks to illuminate the value of understanding how such an approach to peer assessment might help develop learners’ growing ability to take responsibility for their own learning and contribute to developing D&T assessment practice.
Sub image based eigen fabrics method using multi-class SVM classifier for the detection and classification of defects in woven fabric

Human visual system can identify larger defects taking place on the woven fabric. But it is very difficult to classify and identify the small fabric defects by a human inspector. In the textile industries the defect detection by a human inspector affects the production tremendously. Thus this paper gives a solution of this problem by developing an automatic fabric defect detection system, based on the computer vision. The sub image based PCA method is applied for the extraction of the feature from the training and test fabric images and the multi-class SVM classifier is used for carrying out the classification task. The method is tested on the standard TILDA database of fabric defect and a success rate of 96.36% is achieved.
From molecular cores to planet-forming disks: An SIRTF legacy program

Crucial steps in the formation of stars and planets can be studied only at mid‐ to far‐infrared wavelengths, where the Space Infrared Telescope (SIRTF) provides an unprecedented improvement in sensitivity. We will use all three SIRTF instruments (Infrared Array Camera [IRAC], Multiband Imaging Photometer for SIRTF [MIPS], and Infrared Spectrograph [IRS]) to observe sources that span the evolutionary sequence from molecular cores to protoplanetary disks, encompassing a wide range of cloud masses, stellar masses, and star‐forming environments. In addition to targeting about 150 known compact cores, we will survey with IRAC and MIPS (3.6–70 μm) the entire areas of five of the nearest large molecular clouds for new candidate protostars and substellar objects as faint as 0.001 solar luminosities. We will also observe with IRAC and MIPS about 190 systems likely to be in the early stages of planetary system formation (ages up to about 10 Myr), probing the evolution of the circumstellar dust, the raw material for planetary cores. Candidate planet‐forming disks as small as 0.1 lunar masses will be detectable. Spectroscopy with IRS of new objects found in the surveys and of a select group of known objects will add vital information on the changing chemical and physical conditions in the disks and envelopes. The resulting data products will include catalogs of thousands of previously unknown sources, multiwavelength maps of about 20 deg^2 of molecular clouds, photometry of about 190 known young stars, spectra of at least 170 sources, ancillary data from ground‐based telescopes, and new tools for analysis and modeling. These products will constitute the foundations for many follow‐up studies with ground‐based telescopes, as well as with SIRTF itself and other space missions such as SIM, JWST, Herschel, and TPF/Darwin.
SAMOA: scalable advanced massive online analysis

SAMOA (SCALABLE ADVANCED MASSIVE ONLINE ANALYSIS) is a platform for mining big data streams. It provides a collection of distributed streaming algorithms for the most common data mining and machine learning tasks such as classification, clustering, and regression, as well as programming abstractions to develop new algorithms. It features a pluggable architecture that allows it to run on several distributed stream processing engines such as Storm, S4, and Samza. samoa is written in Java, is open source, and is available at http://samoa-project.net under the Apache Software License version 2.0.
Reactive power control for loss minimization in low-voltage distributed generation systems

Dispersed small distributed generation (DG) systems in low-voltage (LV) grids pose diverse challenges for successful grid operation. The main one is to guarantee power quality by ensuring that voltages along all the feeders in the network are within the permissible bounds. In addition, voltage regulation by means of reactive power control can be used to achieve side benefits such as power loss minimization. The contribution of this paper is to analyze optimal control settings for solar inverters in such a way that reactive power control keeps local voltages within the statutory limits while overall losses are minimized. The expected output of a simulated realistic case study is a set of simple but practical control design guidelines for future LV grids deployment.
New Soft Transition Dual Mode Type Algorithms For Blind Equalization

A dual mode algorithm (DMA) employs a blind acquisition algorithm, e.g., the Godard algorithm, during the startup mode and switches to a tracking algorithm, e.g., the decision directed algorithm, when the errors have been sufficiently suppressed. Six types of soft transition DMAs in the literature, e.g., the stop-and-go algorithm, are first briefly reviewed. Subsequently, a new class of DMA (nDMA) that uses a symbol error rate (SER) driven combination parameter is presented. Since the transition is smooth and optimal in the SER sense, the nDMA achieves the fastest convergence in addition to the lowest steady state error simultaneously (verified by simulations) without compromising computational complexity.
A Study of Query Translation Using Google Machine Translation System

Query translation is an important step in cross-language information retrieval (CLIR), therefore the quality of the translations of queries can significantly affect CLIR's retrieval effectiveness. Recent advancement in commercial online machine translation (MT) systems, such as Google Translate, makes it possible for layman Web users to utilize the MT systems for perform cross-language search. To study the effectiveness of using MT for query translation, we conducted a set of CLIR experiments using Google Translate for translating queries. The experiments show that MT is an excellent tool for the query translation task, and with the help of relevance feedback, it can achieve significant improvement over the monolingual baseline. The MT based query translation not only works for long queries, but is also effective for the short Web queries.
A Modified Synchrotron Model for Knots in the M87 Jet

To explain the broadband spectral shape of knots in the M87 jet from radio through optical to X-rays, we propose a modified synchrotron model that considers the integrated effect of particle injection from different acceleration sources in the thin acceleration region. This results in two break frequencies at two sides of which the spectral index of knots in the M87 jet changes. We discuss the possible implications of these results for the physical properties in the M87 jet. The observed flux of the knots in the M87 jet from radio to X-rays can be satisfactorily explained by the model, and the predicted spectra from ultraviolet to X-rays could be further tested by future observations. The model implies that knots D, E, F, A, B, and C1 are unlikely to be candidates for the TeV emission recently detected in M87.
Economic analysis of issues surrounding commercial release of GM food products in New Zealand

This paper concentrates upon the market impact of commercially releasing current generation genetically modified (GM) food and food production in New Zealand (NZ). It evaluates the producer benefits of growing GM food and consumer attitudes towards GM food. Current commercially released GM products affect the type of production rather than the nature of the product itself and include herbicide resistant soybean and canola as well as insect resistant corn. Evidence of producer benefits from growing GM products is mixed, with some reports of increases in producer returns. However, there has been a definite shift in consumer preference away from GM food. This is seen both in the development of price premiums for GM-free food; trade diversion away from GM sources to GM-free sources, particularly in the Japanese market; and the positioning of key retail outlets in Europe as GM-free. However, issues remain as to how preferences will develop and whether current trends are short term or not. Of relevance to NZ is what would impact be of different preferences and impact of GM technology on key commodities for NZ. Therefore in this paper the impact of GM food on producers, consumers and trade in NZ is simulated under various scenarios using the LTEM (Lincoln Trade and Environment Model). The model simulates, against various assumptions of proportions of GM/GM-free production, the impact of various scenarios relating to preference for or against GM production. The results from this preliminary analysis show that the greatest positive impact on NZ income is the GM-free strategy where it is assumed such markets as the EU and Japan have a large switch in preference away from GM food, followed by a 20 percent preference for GM-free. In conclusion the analysis shows that the preferred option for NZ would be to delay the commercial release of GM food until the extent of the negative consumer attitude can be seen and the producer benefits become more apparent. This would enable NZ to position itself as being GM-free and obtain current price premiums and preferential market access.
Debt-related vulnerabilities and financial crises : an application of the balance sheet approach to emerging market countries

This publication examines the application of the balance sheet approach (BSA) in financial vulnerability analysis of emerging market economies, including its conceptual framework, trends over the past decade including case studies, and related policy issues. This concept is being increasingly used in the IMF's analysis of debt-related vulnerabilities, as evidenced by a growing number of Article IV consultation reports providing applications to individual countries, as well as a large body of academic literature on financial crises and their origins.
Wizard-of-Oz tests for a dialog system in smart homes

Jan Krebber, Sebastian Moller, Rosa Pegam, Ute Jekosch, Miroslav Melichar, Martin Rajman 1 Institut of Communication Acoustics, Ruhr-University Bochum, D-44780 Bochum, Germany, Email: (jan.krebber sebastian.moeller rosa.pegam ute.jekosch )@ruhr-uni-bochum.de 2 Artificial Intelligence Laboratory, Ecole Polytechnique Federal de Lausanne, CH-1015 Lausanne, Switzerland, Email: (miroslav.melichar martin.rajman)@epfl.ch
Towards a Hyper-Redundant Haptic Display

This paper discusses how to utilise the known advantages of redundancy in the design of haptic interfaces. The use of additional joints allows a significantly larger workspace, while reducing the overall device size. Moreover, an increase in a variety of dexterity measures and a singularity robust redundancy resolution can be achieved. Besides a review of standard redundant kinematical designs for industrial robots a novel hyper-redundant design with 10 degrees-offreedom (DOF) considering the very specific requirements of haptic interfaces is proposed and discussed. Numerical simulations of standard methods for inverse kinematics resolution, namely pseudo inverse control and the projection of some side criterion on the nullspace of the Jacobian are compared and evaluated.
Evolution and Challenges of Software Defined Networking

Software Defined Networking (SDN) proposes the separation of the control plane from the data plane in network nodes. Furthermore, Openflow architecture through a centralized control of the packet forwarding engines enables the network administrators to literally program the network behavior. The research and results of experiments show clear advantages over traditional network architectures. However, there are open questions to be solved in order to integrate SDN infrastructure and applications in production networks. This paper presents an analysis of the evolution of SDN in recent years. Additionally, this piece of work also describes some interesting SDN/Openflow research initiatives and applications. Finally, there is a disscussion on the main challenges of this new technology.
Comparative Genomics of Cluster O Mycobacteriophages

Mycobacteriophages – viruses of mycobacterial hosts – are genetically diverse but morphologically are all classified in the Caudovirales with double-stranded DNA and tails. We describe here a group of five closely related mycobacteriophages – Corndog, Catdawg, Dylan, Firecracker, and YungJamal – designated as Cluster O with long flexible tails but with unusual prolate capsids. Proteomic analysis of phage Corndog particles, Catdawg particles, and Corndog-infected cells confirms expression of half of the predicted gene products and indicates a non-canonical mechanism for translation of the Corndog tape measure protein. Bioinformatic analysis identifies 8–9 strongly predicted SigA promoters and all five Cluster O genomes contain more than 30 copies of a 17 bp repeat sequence with dyad symmetry located throughout the genomes. Comparison of the Cluster O phages provides insights into phage genome evolution including the processes of gene flux by horizontal genetic exchange.
State-of-charge measurement error simulation for power-aware wireless sensor networks

Wireless sensor networks (WSNs) are power critical systems, because they are used in application areas without wired infrastructure. Each sensor node needs a dedicated power supply. Today's protocols and applications for WSNs are often power-aware. However, the state-of-charge (SoC) estimation of the energy storage component (e.g. rechargeable battery) influences the decisions of the power-aware software. A measurement error may cause wrong decisions which would reduce the lifetime of the network. This work presents the simulation results of the impact of an SoC measurement error on the network lifetime running a simple and an enhanced power-aware WSN application. A simulation environment written in SystemC-AMS is used, which enables the combined simulation of the sensor node's application software and its hardware. The simulation shows a reduction of the network lifetime of 3.13% caused by an erroneous measurement. However, the enhanced software is able to increase the network lifetime by 1.66%.
Lyman continuum as a diagnostic for nonthermal processes in solar flares

We have computed the Lyman continuum intensities for different flare circumstances, namely, the temperature rise in the chromosphere, the downward shift of the transition re- gion, and the nonthermal effect of a precipitating beam of elec- trons. All the three factors can enhance the intensity by various amounts. The third effect additionally lowers the color temper- ature of the Lyman continuum. It thus provides a diagnostic tool to discriminate whether there exists an obvious nonther- mal effect of electron beam bombardment during solar flares. It is also suggested that the relative magnitudes of Lyman and Balmercontinuumenhancementscanbeusedtoinfertheenergy distribution type of the beam electrons.
The Secure Transaction Protocol in NFC Card Emulation Mode

The NFC wallet is more popular in the world than before. Many people want to have a convenient payment in shop- ping, so the NFC wallet becomes an excellent choice for them. The NFC wallet uses the Card Emulation mode to achieve the transaction process. However, the Card Emulation mode does not have the specified secure trans- action protocol. Our research provides a secure transac- tion protocol for the Card Emulation mode. It applies the Diffie-Hellman Key Exchange method and Elliptic Curve Cryptosystem to the protocol. It not only fulfills five se- cure requirements which are Data Confidentiality, Data Integrity, Unobservability, Unlinkability and Traceability, but also has the less calculation size and amount of trans- ference than another proposed method. It is more suit- able for mobile devices which do not have high calculation ability and storage space.
Testing for Monetary Integration and Contagion in ASEAN Exchange Rates

The Asian financial crisis in 1997 brought to the attention of member countries of the Association of South East Asian Countries (ASEAN-5) (comprising Indonesia, Malaysia, the Philippines, Singapore and Thailand) the need for closer monetary co-operation. Central to the OCA literature is the nature and symmetry of underlying economic disturbances. If the economic disturbances are similar across the countries in a region, then the costs of establishing a common currency area are likely to be small. As the presence of contagion necessarily means there is an increase in the correlation of shocks experienced within a region, this paper examines the suitability of establishing a common currency area for ASEAN-5 from the perspective of contagion. In order to select the breakpoints for contagion endogenously, a modified sequential dummy variable method is developed. The empirical results show that contagion is present between all country pairs in ASEAN-5, which indicates that the degree of correlation among the ASEAN-5 economies has increased during the Asian financial crisis.
PID controllers and anti-windup systems tuning using ant colony optimization

Ant Colony Optimization allows simultaneous tuning of a large number of control parameters and provides flexibility in the choice of the performance criterion. An off-line tuning methodology is proposed for PID-type controllers and their associated anti-windup subsystem for cascaded loop control structures. Insight is given on the design process, on parameter setting and on handling of soft and hard constraints. The method is illustrated by tuning a weighted PID controller and saturation management for a positioning axis in a grinder application.
The Effectiveness of Polymorphism , Subtyping , Accurate Data Types and Whole Program Analysis-DRAFT -

There are a number of choices to be made in the design of a type based program analysis. Some of these are: Should the analysis be monomorphic or have some degree of polymorphism? What about subtyping? How should the analysis deal with user defined algebraic data types? Should it be a whole program analysis? In this paper we present a systematic evaluation of each of these features. The study takes place in the context of a usage analysis for Haskell.
Estimating Irrigation Water Value Using Hedonic Price Analysis: A Case Study in Malheur County, Oregon

Hedonic price analysis is applied to agricultural land sales to reveal the implicit market price of water in irrigation. This provides price information, where otherwise absent, which can facilitate reallocation of water supplies to meet growing demands. The failure to include available information on soil quality, an important determinant of agricultural land value, results in erroneous conclusions. Joint testing of heteroskedasticity and functional form is demonstrated. The value of irrigation water in this location is estimated at $9 for an acre-foot on the least productive land irrigated, and up to $44 per acre-foot on the most productive land.