Miracle-dz/UniFAR-FTUs huggingface dataset:
Circuit Testing Method Based on Wavelets

The paper presents the comparison of waveforms for the input stimulus of a circuit under test, using a testing system incorporated in an FPGA, relying on a method based on wavelet transformation of the supply current or load current waveforms. The method differentiates due to the incorporation of different signal inputs according to the needs of the tester and the specifications of the circuit. This is a distinctive and effective method that offers a single– point test measurement solution and may easily be adapted to test various other analog and mixedsignal systems. Experimental results, derived from measurement comparisons, are presented showing the effectiveness of the proposed testing scheme.
Prony analysis and modeling of a TCSC under modulation control

This paper illustrates the use of Prony signal analysis tools to derive a system model of the thyristor controlled series capacitor (TCSC) located at the Bonneville Power Administration's (BPA's) Slatt 500 KV substation near Arlington Oregon. The Slatt TCSC is part of EPRI's flexible AC transmission systems (FACTS) initiative. The analysis presented in this paper was carried out to find linear models for the TCSC system using Prony analysis and to determine the range of validity for these linear models. Prony analysis is performed on output data files generated by simulations using BPA's transient stability program (TSP) on the TCSC and surrounding system under both closed and open loop TCSC operation. TSP simulations of the power system are performed using a 2623 bus 455 machine stability model of the western power grid. Root loci of the open loop and closed loop identified systems were generated and the motion of the system's transfer function poles was compared to those obtained by analyzing the system responses for various TCSC modulation controller gains. Comparisons are also made to the system (via TSP simulations) and transfer function responses in the time domain for both the open and closed loop identified transfer functions. The results shown here illustrate the advantages of closed loop identification and the nonlinearity of the system.
Increasing scalability of researcher network extraction from the web

Social networks, which describe relations among people or organizations as a network, have recently attracted attention. With the help of a social network, we can analyze the structure of a community and thereby promote efficient communications within it. We investigate the problem of extracting a network of researchers from the Web, to assist efficient cooperation among researchers. Our method uses a search engine to get the cooccurences of names of two researchers and calculates the streangth of the relation between them. Then we label the relation by analyzing the Web pages in which these two names cooccur. Research on social network extraction using search engines as ours, is attracting attention in Japan as well as abroad. However, the former approaches issue too many queries to search engines to extract a large-scale network. In this paper, we propose a method to filter superfluous queries and facilitates the extraction of large-scale networks. By this method we are able to extract a network of around 3000-nodes. Our experimental results show that the proposed method reduces the number of queries significantly while preserving the quality of the network as compared to former methods.
Judgmental forecasts of time series affected by special events: does providing a statistical forecast improve accuracy?

Time series found in areas such as marketing and sales often have regular established patterns which are occasionally affected by exogenous influences, such as sales promotions. While statistical forecasting methods are adept at extrapolating regular patterns in series, judgmental forecasters have a potential advantage in that they can take into account the effect of these external influences, which may occur too infrequently for reliable statistical estimation. This suggests that a combination of statistical method and judgment is appropriate. An experiment was conducted to examine how judgmental forecasters make use of statistical time series forecasts when series are subject to sporadic special events. This was investigated under different conditions which were created by varying the complexity of the time series signal, the level of noise in the series, the salience of the cue, the predictive power of the cue information and the availability and presentation of the statistical forecast. Although the availability of a statistical forecast improved judgment under some conditions, the use the judgmental forecasters made of these forecasts was far from optimal. They changed the statistical forecasts when they were highly reliable and ignored them when they would have formed an ideal base-line for adjustment. Copyright © 1999 John Wiley & Sons, Ltd.
Evaluation of different levels of potassium and zinc fertilizer on the growth and yield of wheat

Wheat (Triticum aestivum L.) is the staple food and second most important food crop after rice in the country, which contributes nearly one-third of the total food grains production. It is consumed mostly in the form of bread as “Chapati”. Wheat straw is used for feeding cattle. Wheat contains more protein than other cereal and has a relatively high content of niacin and thiamine [1]. It is basically concerned in providing the characteristics substance “Glutin” which is very essential for bakers. The production potential of wheat crop is the resultant of a number of interacting factors contributing its shares. Major nutrients (N, P and K) are important for increasing the crop production. However, farmers in this region generally used only nitrogen or nitrogen and phosphorus fertilizers. Intensification of cropping system with greater use of potassium free chemical fertilizers and adoption of high yielding varieties have resulted in the mining of soils leading to K deficiency. There is immense scope of increasing productivity through adequate application of [2]. Wheat has proved to have a higher agronomic K efficiency as indicated by a greater relative yield under K deficient conditions [3]. Better growth and yield of wheat crop has been observed with the addition of’ K [4], Potassium content in the plant tissue is crucial to the proper functioning of several important biochemical and physiological processes that directly determine crop productivity. Therefore, for sustaining soil fertility and optimum crop productivity on long term basis, K removal through the crops should be replenished with balanced and adequate K fertilization.
Low-complexity logarithmic step-size-based filtered digital backward propagation algorithm for compensating fiber transmission impairments

We have investigated a new method to reduce the complexity of the digital backward propagation algorithm (DBP). A logarithmic step-size based split-step Fourier method (SSFM) is investigated in this paper to compensate fiber transmission impairments i.e. chromatic dispersion (CD) and non-linearities (NL) in dual-polarization quadrature phase shift keying (DP-QPSK) system. The algorithm is numerically investigated for coherently-detected multiple channel DP-QPSK system over 2000km (25 spans) standard single mode fiber (SMF-28) with un-compensated transmission link. The algorithm is numerically evaluated for: (a) 20 channel 56Gbit/s (14GBaud) with 25GHz channel spacing; (b) 10 channel 112Gbit/s (28GBaud) with 50GHz channel spacing and (c) 5 channel 224Gbit/s (56GBaud) with 100GHz channel spacing. Each simulation configuration has the bandwidth occupancy of 500GHz and a total transmission capacity of 1.12Tbit/s. The logarithmic DBP algorithm (L-DBP) shows efficient results as compared to the conventional DBP method based on modified SSFM (M-DBP). The results depict efficient mitigation of CD and NL, therefore improving the non-linear threshold point (NLT) upto 4dB. Furthermore by implementing a low-pass-filter (LPF) in each SSFM step, the required number of DBP stages to compensate fiber transmission impairments can be significantly reduced (multi-span DBP) by 75% as compared to L-DBP and by 50% as compared to M-DBP. The results delineate improved system performance of logarithmic step size based filtered DBP (FL-DBP) both in terms of efficiency and complexity which will be helpful in future deployment of DBP algorithm with real-time signal processing modules for non-linear compensation.
The design capture system : capturing back-of-the-envelope sketches

SUMMARY A system which allows the computer to capture sketches made by a mechanical designer is described. The system not only recognizes basic design features as they are sketched, but it also builds a feature-based solid model of the artifact. The temporal nature of the capture, one feature at a time, serves to form a feature graph that allows for parametric redesign. The system is composed of three inference systems: a two-dimensional freehand primitive recognition system, a three-dimensional feature recognition system and a spatial reasoning system. Each is described in the paper.
Some Unexplained Aspects of the Cranfield Tests of Indexing Performance Factors

Comments are made on several specific questionable aspects of experimental design in the "Second Cranfield project. " Statistical reasoning is used to show that very likely there must have been several times as many relevant "document-question matches" as were actually found by the Cranfield searchers in the process of determining, before any retrieval tests, "all possible" relevance matches. The argument derives from the Cranfield data itself, and rests essentially on the curiously small overlap between two apparently independent methods of seeking relevant documents (namely, searching by students and bibliographic coupling).
Quantifying musical merit

Abstract This paper surveys techniques for merit‐based decision‐making in automated composition and analysis. The paper has two parts, respectively covering the “tactics” and “strategy” of decision‐making processes. Part I deals with functions used to assess a candidate's merit (or demerit) quantitatively. The “discrimination” or precision associated with a merit function determines whether it is suitable only for “black and white” judgments of acceptability or if it also can be used for “shades of grey” judgments of preference. Differences between absolute merit (magnitudes) and relative merit (distances) are briefly discussed. The bulk of Part 1 explores ways of reconciling several evaluative factors into a simple numerical measure: logical, additive, geometric, multiplicative, prioritized, and uniform. The introduction of a randomness is advised as a way of distinguishing candidates when their merit assessments would otherwise teeter at the knife edge. Part II discusses how merit functions may be used .
Restructuring a software based MPEG-4 video decoder for short latency hardware acceleration

The multimedia capabilities of emerging high-end battery powered mobile devices rely on monolithic hardware accelerators with long latencies to minimize interrupt and software overheads. When compared to pure software implementations, monolithic hardware accelerator solutions need an order of magnitude less power. However, they are rather inflexible and difficult to modify to provide support for multiple coding standards. A more flexible alternative is to employ finer grained short latency accelerators that implement the individual coding functions. Unfortunately, with this approach the software overheads can become very high, if interrupts are used for synchronizing the software and hardware. Preferably, the cost of hardware accelerator interfacing should be at the same level with software functions. In this paper we study the benefits attainable from such an approach. As a case study we restructure a MPEG-4 video decoder in a manner that enables the simultaneous decoding of multiple bit streams using short latency hardware accelerators. The approach takes multiple video bit streams as input and produces a multiplexed stream that is used to control the hardware accelerators without interrupts. The decoding processes of each stream can be considered as threads that share the same hardware resources. Software simulations predict that the energy efficiency of the approach would be significantly better than for a pure software implementation.
Multi-scale visual words for hierarchical medical image categorisation

The biomedical literature published regularly has increased strongly in past years and keeping updated even in narrow domains is difficult. Images represent essential information of their articles and can help to quicker browse through large volumes of articles in connection with keyword search. Content-based image retrieval is helping the retrieval of visual content. To facilitate retrieval of visual information, image categorisation can be an important first step. To represent scientific articles visually, medical images need to be separated from general images such as flowcharts or graphs to facilitate browsing, as graphs contain little information. Medical modality classification is a second step to focus search. The techniques described in this article first classify images into broad categories. In a second step the images are further classified into the exact medical modalities. The system combines the Scale-Invariant Feature Transform (SIFT) and density-based clustering (DENCLUE). Visual words are first created globally to differentiate broad categories and then within each category a new visual vocabulary is created for modality classification. The results show the difficulties to differentiate between some modalities by visual means alone. On the other hand the improvement of the accuracy of the two-step approach shows the usefulness of the method. The system is currently being integrated into the Goldminer image search engine of the ARRS (American Roentgen Ray Society) as a web service, allowing concentrating image search onto clinically relevant images automatically.
An incremental algorithm for string pattern matching machines

Aho and Corasick presented a string pattern matching machine (hereafter called machine AC) to locate multiple keywords. However, the machine AC must be reconstructed all over again when a keyword is appended. This paper proposes an efficient algorithm to append a keyword for the machine AC. This paper presents the time efficiency comparison with the original algorithm using the actual simulation results. The simulation results show the speed up factor, by the algorithm proposed, to be between 25 and 270 fold when compared with the original algorithm by Aho and Corasick which requires the reconstruction of the entire machine AC.
Comparative study of sophisticated high-speed pattern matching systems for industrial applications

Pattern matching is an important task in industrial applications of computer vision. A variety of different approaches to the pattern matching problem has been proposed in the literature. In this paper we provide an experimental evaluation of three different matching algorithms, namely a feature consensus matching algorithm, an interpretation tree based algorithm and a commercially available pattern matching tool. The systems were chosen to cover a range of matching techniques as well as a large field of possible applications. Both artificially created test images and image sequences of real-world matching problems have been applied to indicate the range of feasible applications to any of the three matching system. The algorithms are investigated with respect to matching speed, accuracy and robustness.
Pronunciation feedback from real and virtual language teachers

The aim of this paper is to summarise how pronunciation feedback on the phoneme level should be given in computer-assisted pronunciation training (CAPT) in order to be effective. The study contains a literature survey of feedback in the language classroom, interviews with language teachers and their students about their attitudes towards pronunciation feedback, and observations of how feedback is given in their classrooms. The study was carried out using focus group meetings, individual semi-structured interviews and classroom observations. The feedback strategies that were advocated and observed in the study on pronunciation feedback from human teachers were implemented in a computer-animated language tutor giving articulation feedback. The virtual tutor was subsequently tested in a user trial and evaluated with a questionnaire. The article proposes several feedback strategies that would improve the pedagogical soundness of CAPT systems.
Robust estimation and control of tire traction forces

This paper proposes a tire traction force control scheme which effectively deals with the highly nonlinear and uncertain tire-road interaction, and variations in road conditions. Moreover, the proposed control scheme is based on robust estimations of traction forces; therefore, unlike the slip-ratio-based methods, achievement of desired traction forces is guaranteed by the proposed control scheme. Then simulations are conducted for verification. The results show that the performance of traction force estimation and control is satisfactory, even under the conditions of suddenly changed tire-road friction-coefficients and mismatched tire models for controller design and simulations.
Snapshot Replication Method for Content Data in Social Networking Services

Nowadays, the technology and concept of Web 2.0 have been widely applied, which injects vigor into many traditional web applications. And in vertical social networking services exist many content data, which is one kind of the unstructured data. [ The purpose of the snapshot replication algorithm proposed in the paper is to solve the problem of data inconsistency [in the storage of unstructured data and keep a good balance among capacity, velocity and availability. The experiments show that snapshot replication algorithm combined with replication when referenced algorithm and hard link optimization could perform very well in capacity, velocity and availability.
Permanent and temporary phonological influences in Slovenian irregular verb production

Lexical access in language production shows effects of permanent statistical properties of the lexicon, but also of temporary phonological influences of words produced in the same sentence. In this study of present-tense verbs in Slovene, conjoining an irregular and a regular form, where both verbs have the same base-final consonant, leads to a dramatic increase in the error rate, both over-regularisation of irregulars and over-irregularisation of regulars. A further degree of similarity (rhyming) affects only over-irregularisation of regular verbs. Another experiment explores output biases in purely phonological errors, to help clarify the nature of the interference during processing. The strong effect of temporary phonological influences on the processing of irregular forms provides new details about that process, but is less informative about the mechanisms for regulars.
Graph-Based Analysis of Pedestrian Interactions and Events Using Hidden Markov Models

In this paper, we present an improved approach for the analysis of pedestrian interaction in crowded and cluttered scenes from aerial image sequences. Related work is limited to the detection of an undeclared abnormal event with regard to the common behaviour or to the detection of specific simple events incorporating only up to two trajectories. In our approach, event detection in pedestrian groups is done by detecting universal motion interaction patterns between pairs of pedestrians in a graph-based framework. Event detection is performed by analyzing the temporal behaviour of the motion interaction, which is represented by edges in the graph, by means of hidden Markov models (HMM). Temporarily disappearing edges in the graph can be compensated by an HMM buffer which internally continues the HMM analysis even if the corresponding pedestrians depart from each other awhile. Experimental results show the potential of our graph-based approach for event detection. The used datasets contain UAV image sequences in which an instructed pedestrian group simulates meaningful group behaviour and an aerial image sequence in which pedestrians approach a soccer stadium.
P‐196: Adding Interactivity to Displays Using the Q‐Foil Technology

isiQiri develops and markets solutions for human interface devices using large position sensitive photodetectors based on the proprietary Q‐Foil‐technology. These are used to add interactivity to any kind of surface resulting in large multitouch displays and interactive projection screens up to the size of a cinema screen with a laser pointer as input device.
Privacy Preserving Techniques in the Internet of Things

The Internet of Things is a novel paradigm in the scenario of modern wireless telecommunications. It has high impact on several aspects of everyday-life and behavior of potential users. However, it raises serious concerns over individual privacy in the new environment of smart things. In this paper, we provide for an overview on privacy preserving techniques in the Internet of Things and discuss the present problems and directions for future research.
Infrared Sensitive Camera Based Finger-Friendly Interactive Display System

In this paper we present a system that enables the user to interact with large display system even without touching the screen. With two infrared sensitive cameras mounted on the bottom left and bottom right of the display system pointing upwards, the user fingertip position on the selected region of interest of each camera view is found using vertical intensity profile of the background subtracted image. The position of the finger in two images of left and right camera is mapped to the display screen coordinate by using pre-determined matrices, which are calculated by interpolating samples of user finger position on the images taken by pointing finger over some known coordinate position of the display system. The screen is then manipulated according to the calculated position and depth of the fingertip with respect to the display system. Experimental results demonstrate an efficient, robust and stable human computer interaction.
U-Tree Based Indexing Method for Uncertain Moving Objects: U-Tree Based Indexing Method for Uncertain Moving Objects

This paper proposes a novel, U-tree based indexing technique that addresses the problem of managing uncertain data in a constantly evolving environment. The technique called TPU-tree is capable of indexing the moving objects with uncertainty in multi-dimensional spaces. Along with the data models capturing the temporal and spatial uncertainty, a modified p-bound based range query (MP_BBRQ) algorithms for probabilistic queries is also developed. Experimental evaluations demonstrate that the TPU-tree supports queries on uncertain moving objects quite efficiently. It yields rather good update performance even under frequent update environments, and has
MRScheduling: An Effective Technique for Multi-Tenant Meeting Deadline in MapReduce

The multi-tenant jobs scheduling problem based on MapReduce framework has become more and more significant in contemporary society. Existing scheduling approach or algorithm no longer fit well in scenario that numerous jobs were submitted by multiple users at the same time. Therefore, taken enlarging jobs’ throughput for MapReduce into account, we firstly propose an MRScheduling which focuses on meeting job’s respective deadline. Considering the various parameters which are related to job execution time of a MapReduce’s job, we present a simply time-cost model, for the aim that quantifying the number of job’s assigned map slots and reduce slots. Then, an MRScheduling algorithm is discussed in details. Finally, we perform our approach on both real data and synthetic data on real distributed cluster to verify its effectiveness and efficiency.