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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 3 new columns ({'keyword', 'date', 'categories'}) and 1 missing columns ({'keywords'}).

This happened while the json dataset builder was generating data using

hf://datasets/memray/keyphrase/kptimes_train100k/train.json (at revision 3d703f89b39dbd62d406e5863b32ea9afb4dc8a5)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              categories: list<item: string>
                child 0, item: string
              date: string
              title: string
              abstract: string
              keyword: string
              to
              {'id': Value(dtype='string', id=None), 'title': Value(dtype='string', id=None), 'abstract': Value(dtype='string', id=None), 'keywords': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1316, in compute_config_parquet_and_info_response
                  parquet_operations, partial = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 3 new columns ({'keyword', 'date', 'categories'}) and 1 missing columns ({'keywords'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/memray/keyphrase/kptimes_train100k/train.json (at revision 3d703f89b39dbd62d406e5863b32ea9afb4dc8a5)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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id
string
title
string
abstract
string
keywords
sequence
kp20k_training_0
virtually enhancing the perception of user actions
This paper proposes using virtual reality to enhance the perception of actions by distant users on a shared application. Here, distance may refer either to space ( e.g. in a remote synchronous collaboration) or time ( e.g. during playback of recorded actions). Our approach consists in immersing the application in a vir...
[ "telepresence", "animation", "avatars", "application sharing", "collaborative virtual environments" ]
kp20k_training_1
Dynamic range improvement of multistage multibit Sigma Delta modulator for low oversampling ratios
This paper presents an improved architecture of the multistage multibit sigma-delta modulators (EAMs) for wide-band applications. Our approach is based on two resonator topologies, high-Q cascade-of-resonator-with-feedforward (HQCRFF) and low-Q cascade-of-integrator-with-feedforward (LQCEFF). Because of in-band zeros i...
[ "sigma delta modulators", "analog-to-digital converters ", "multistage ", "multibit quantizer", "dynamic range improvement" ]
kp20k_training_2
An ontology modelling perspective on business reporting
In this paper, we discuss the motivation and the fundamentals of an ontology representation of business reporting data and metadata structures as defined in the eXtensible business reporting language (XBRL) standard. The core motivation for an ontology representation is the enhanced potential for integrated analytic ap...
[ "enterprise information integration and interoperability", "languages for conceptual modelling", "ontological approaches to content and knowledge management", "ontology-based software engineering for enterprise solutions", "domain engineering" ]
kp20k_training_3
The self-organizing map
An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article
[ "self-organizing map", "learning vector quantization" ]
kp20k_training_4
The Amygdala and Development of the Social Brain
The amygdala comprises part of an extended network of neural circuits that are critically involved in the processing of socially salient stimuli. Such stimuli may be explicitly social, such as facial expressions, or they may be only tangentially social, such as abstract shapes moving with apparent intention relative to...
[ "social brain", "amygdala", "behavior", "facial expression" ]
kp20k_training_5
Modeling and Cost Analysis of an Improved Movement-Based Location Update Scheme in Wireless Communication Networks
A movement based location update (MBLU) scheme is an LU scheme, under which a user equipment (UE) performs an LU when the number of cells crossed by the UE reaches a movement threshold. The MBLU scheme suffers from ping-pong LU effect. The ping-pong LU effect arises when the UE that moves repetitively between two adjac...
[ "movement-based location update", "ping-pong lu effect", "modeling", "embedded markov chain" ]
kp20k_training_6
A modified offset roll printing for thin film transistor applications
In order to realize a high resolution and high throughput printing method for thin film transistor application, a modified offset roll printing was studied. This roll printing chiefly consists of a blanket with low surface energy and a printing plate (clich) with high surface energy. In this study, a finite element ana...
[ "printing plate ", "surface energy", "offset roll printing", "tft" ]
kp20k_training_8
Hyperspectral image segmentation through evolved cellular automata
Efficient segmentation of hyperspectral images through the use of cellular automata. The rule set for the CA is automatically obtained using an evolutionary algorithm. Synthetic images of much lower dimensionality are used to evolve the automata. The CA works with spectral information but do not project it onto a lower...
[ "hyperspectral imaging", "evolution", "cellular automata", "segmentation" ]
kp20k_training_9
Analytical and empirical evaluation of the impact of Gaussian noise on the modulations employed by Bluetooth Enhanced Data Rates
Bluetooth (BT) is a leading technology for the deployment of wireless Personal Area Networks and Body Area Networks. Versions 2.0 and 2.1 of the standard, which are massively implemented in commercial devices, improve the throughput of the BT technology by enabling the so-called Enhanced Data Rates (EDR). EDRs are achi...
[ "bluetooth", "bit error rate", "modulation", "white noise" ]
kp20k_training_10
Spectral analysis of irregularly-sampled data: Paralleling the regularly-sampled data approaches
The spectral analysis of regularly-sampled (RS) data is a well-established topic, and many useful methods are available for performing it under different sets of conditions. The same cannot be said about the spectral analysis of irregularly-sampled (IS) data: despite a plethora of published works on this topic, the cho...
[ "spectral analysis", "irregular sampling", "nonuniform sampling", "sinusoids in noise", "carma signals" ]
kp20k_training_11
Time-Series Data Mining
In almost every scientific field, measurements are performed over time. These observations lead to a collection of organized data called time series. The purpose of time-series data mining is to try to extract all meaningful knowledge from the shape of data. Even if humans have a natural capacity to perform these tasks...
[ "algorithms", "performance", "distance measures", "data indexing", "data mining", "query by content", "sequence matching", "similarity measures", "stream analysis", "temporal analysis", "time series" ]
kp20k_training_12
A small hybrid JIT for embedded systems
Just-In-Time (JIT) Compilation is a technology used to improve speed of virtual machines that support dynamic loading of applications. It is better known as a technique that accelerates Java programs. Current JIT compilers are either huge in size or compile complete methods of the application requiring large amounts of...
[ "java", "dynamic compilation", "jit", "embedded system", "code generation" ]
kp20k_training_13
Rationality of induced ordered weighted operators based on the reliability of the source of information in group decision-making
The aggregation of preference relations in group decision-making (GDM) problems can be carried out based on either the reliability of the preference values to be aggregated, as is the case with ordered weighted averaging operators, or on the reliability of the source of information that provided the preferences, as is ...
[ "aggregation operators", "induced aggregation", "group decision-making", "preference relations", "rationality", "consistency" ]
kp20k_training_14
Digital preservation of knowledge in the public sector: a pre-ingest tool
This paper describes the need for coordinating pre-ingest activities in digital preservation of archival records. As a result of the wide use of electronic records management systems (ERMS) in agencies, the focus is on several issues relating to the interaction of the agencys ERMS and public repositories. This paper in...
[ "digital preservation", "ingest", "pre-ingest", "universal archiving module", "estonia" ]
kp20k_training_15
The Regulation of SERCA-Type Pumps by Phospholamban and Sarcolipin
Both sarcolipin (SLN) and phospholamban (PLN) lower the apparent affinity of either SERCA1a or SERCA2a for Ca2+. Since SLN and PLN are coexpressed in the heart, interactions among these three proteins were investigated. When SERCA1a or SERCA2a were coexpressed in HEK-293 cells with both SLN and PLN, superinhibition res...
[ "ca2+-atpase", "sarcolipin", "phospholamban", "cardiomyopathy", "regulatory molecules" ]
kp20k_training_16
Bootstrap confidence intervals for principal response curves
The principal response curve (PRC) model is of use to analyse multivariate data resulting from experiments involving repeated sampling in time. The time-dependent treatment effects are represented by PRCs, which are functional in nature. The sample PRCs can be estimated using a raw approach, or the newly proposed smoot...
[ "resampling", "singular value decomposition" ]
kp20k_training_17
A concurrent specification of Brzozowski's DFA construction algorithm
In this paper two concurrent versions of Brzozowski's deterministic finite automaton (DFA) construction algorithm are developed from first principles, the one being a slight refinement of the other. We rely on Hoare's CSP as our notation. The specifications that are proposed of the Brzozowski algorithm are in terms of ...
[ "automaton construction", "concurrency", "csp", "regular expressions" ]
kp20k_training_18
collaborative multimedia learning environments
I use the term "collaborative", to identify a way that enables conversation to occur in, about, and around the digital medium, therefore making the "digital artifacts" contributed by all individuals a key element of a conversation as opposed to consecutive, linear presentations used by most faculty at the Design School...
[ "shared interfaces", "multiple displays", "digital artifacts", "rich control interfaces", "beneficial interruption" ]
kp20k_training_19
clustering multi-way data via adaptive subspace iteration
Clustering multi-way data is a very important research topic due to the intrinsic rich structures in real-world datasets. In this paper, we propose the subspace clustering algorithm on multi-way data, called ASI-T (Adaptive Subspace Iteration on Tensor). ASI-T is a special version of High Order SVD (HOSVD), and it simu...
[ "tensor", "multi-way data", "subspace", "clustering" ]
kp20k_training_20
SAT-based model-checking for security protocols analysis
We present a model checking technique for security protocols based on a reduction to propositional logic. At the core of our approach is a procedure that, given a description of the protocol in a multi-set rewriting formalism and a positive integer k, builds a propositional formula whose models (if any) correspond to a...
[ "security protocols", "bounded model checking", "sat-based model checking", "multi-set rewriting" ]
kp20k_training_21
Existence of positive solutions for 2n 2 n th-order singular superlinear boundary value problems
This paper investigates the existence of positive solutions for 2n th-order (n>1 ) singular superlinear boundary value problems. A necessary and sufficient condition for the existence of C2n?2[0,1] as well as C2n?1[0,1] positive solutions is given by constructing a special cone and with the e-Norm
[ "singular boundary value problem", "positive solution", "e-norm", "cone", "fixed-point theorem" ]
kp20k_training_22
Embedding the Internet in the lives of college students - Online and offline Behavior
The Internet is increasingly becoming embedded in the lives of most American citizens. College students constitute a group who have made particularly heavy use of the technology for everything from downloading music to distance education to instant messaging. Researchers know a lot about the uses made of the Internet b...
[ "internet", "college students", "information technology", "online behavior", "news", "blogs", "downloading" ]
kp20k_training_23
A capacitive tactile sensor array for surface texture discrimination
This paper presents a silicon MEMS based capacitive sensing array, which has the ability to resolve forces in the sub mN range, provides directional response to applied loading and has the ability to differentiate between surface textures. Texture recognition is achieved by scanning surfaces over the sensing array and ...
[ "mems", "tactile sensor", "biomimetic", "capacitive sensor" ]
kp20k_training_24
Segmenting, modeling, and matching video clips containing multiple moving objects
This paper presents a novel representation for dynamic scenes composed of multiple rigid objects that may undergo different motions and are observed by a moving camera. Multiview constraints associated with groups of affine-covariant scene patches and a normalized description of their appearance are used to segment a s...
[ "affine-covariant patches", "structure from motion", "motion segmentation", "shot matching", "video retrieval" ]
kp20k_training_25
Weighted fuzzy interpolative reasoning systems based on interval type-2 fuzzy sets
In this paper, we present a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on interval type-2 fuzzy sets. We also apply the proposed weighted fuzzy interpolative reasoning method to deal with the truck backer-upper control problem. The proposed method satisfies the seven evaluat...
[ "fuzzy interpolative reasoning", "interval type-2 fuzzy sets", "sparse fuzzy rule-based systems", "weighted fuzzy interpolative reasoning" ]
kp20k_training_26
Vestibular PREHAB
A sudden unilateral loss or impairment of vestibular function causes vertigo, dizziness, and impaired postural function. In most occasions, everyday activities supported or not by vestibular rehabilitation programs will promote a compensation and the symptoms subside. As the compensatory process requires sensory input,...
[ "vestibular", "compensation", "prehab", "rehabilitation", "schwannoma", "recovery" ]
kp20k_training_27
SW1PerS: Sliding windows and 1-persistence scoring; discovering periodicity in gene expression time series data
Identifying periodically expressed genes across different processes (e.g. the cell and metabolic cycles, circadian rhythms, etc) is a central problem in computational biology. Biological time series may contain (multiple) unknown signal shapes of systemic relevance, imperfections like noise, damping, and trending, or l...
[ "periodicity", "gene expression", "time series", "sliding windows", "persistent homology" ]
kp20k_training_28
Parallel generation of unstructured surface grids
In this paper, a new grid generation system is presented for the parallel generation of unstructured triangular surface grids. The object-oriented design and implementation of the system, the internal components and the parallel meshing process itself are described. Initially in a rasterisation stage, the geometry to b...
[ "unstructured surface mesh generation", "geometry rasterisation", "mpi-parallel", "automatic", "object-orientation" ]
kp20k_training_29
H structured model reduction algorithms for linear discrete systems via LMI-based optimisation
In this article, H structured model reduction is addressed for linear discrete systems. Two important classes of systems are considered for structured model reduction, i.e. Markov jump systems and uncertain systems. The problem we deal with is the development of algorithms with the flexibility to allow any structure in...
[ "h design", "structured model reduction", "markovian jump linear systems", "uncertain systems", "bilinear matrix inequality", "linear matrix inequality" ]
kp20k_training_30
A power-aware code-compression design for RISC/VLIW architecture
We studied the architecture of embedded computing systems from the viewpoint of power consumption in memory systems and used a selective-code-compression (SCC) approach to realize our design. Based on the LZW (Lempel-Ziv-Welch) compression algorithm, we propose a novel cost effective compression and decompression metho...
[ "lzw compression", "cell-based libraries", "instruction level parallelism ", "vliw processors" ]
kp20k_training_31
Globallocal negotiations for implementing configurable packages: The power of initial organizational decisions
The purpose of this paper is to draw attention to the critical influence that initial organizational decisions regarding power and knowledge balance between internal members and external consultants have on the globallocal negotiation that characterizes configurable packages implementation. To do this, we conducted an ...
[ "configurable technology", "erp implementation", "critical discourse analysis", "temporal bracketing analysis", "intensive research", "qualitative research methods", "global/local negotiation", "power/knowledge balance" ]
kp20k_training_32
Communication in Random Geometric Radio Networks with Positively Correlated Random Faults
We study the feasibility and time of coin communication in random geometric radio networks, where nodes fail randomly with positive correlation. We consider a set of radio stations with the same communication range, distributed in a random uniform way on a unit square region. In order to capture fault dependencies, we ...
[ "fault-tolerance", "dependent faults", "broadcast", "crash faults", "random", "geometric radio network" ]
kp20k_training_33
Consumer complaint behaviour in telecommunications: The case of mobile phone users in Spain
Consumer complaint behaviour theory is used to analyze Spanish telecommunications data. The main determinants are the type of problem, socio-demographic factors and the user?s type of contract. Proper complaint handling leads to satisfied, loyal and profitable consumers
[ "consumer complaint behaviour", "mobile phones", "consumer retention", "consumer satisfaction", "consumer loyalty", "voice", "exit", "service failure", "complainers" ]
kp20k_training_34
Combining OWL ontologies using epsilon-Connections
The standardization of the Web Ontology Language ( OWL) leaves ( at least) two crucial issues for Web-based ontologies unsatisfactorily resolved, namely how to represent and reason with multiple distinct, but linked ontologies, and how to enable effective knowledge reuse and sharing on the Semantic Web. In this paper, ...
[ "web ontology language", "integration and combination of ontologies", "combination of knowledge representation formalisms", "description logics reasoning" ]
kp20k_training_35
Model with artificial neural network to predict the relationship between the soil resistivity and dry density of compacted soil
This paper presents a technique to obtain the outcomes of soil dry density and optimum moisture contents with artificial neural network (ANN) for compacted soil monitoring through soil resistivity measurement in geotechnical engineering. The compacted soil monitoring through soil electrical resistivity shows the import...
[ "soil compaction", "ann modeling", "electrical resistivity", "dry density" ]
kp20k_training_36
A fuzzy bi-criteria transportation problem
In this paper, a fuzzy bi-criteria transportation problem is studied. Here, the model concentrates on two criteria: total delivery time and total profit of transportation. The delivery times on links are fuzzy intervals with increasing linear membership functions, whereas the total delivery time on the network is a fuz...
[ "fuzzy interval", "membership function", "bi-criteria transportation", "fuzzy transportation", "bi-level programming", "parametric programming" ]
kp20k_training_37
Capacity Gain of Mixed Multicast/Unicast Transport Schemes in a TV Distribution Network
This paper presents three approaches to estimate the required resources in an infrastructure where digital TV channels can be delivered in unicast or multicast (broadcast) mode. Such situations arise for example in Cable TV, IPTV distribution networks or in (future) hybrid mobile TV networks. The three approaches prese...
[ "capacity planning", "digital tv/video", "iptv", "mobile tv", "multicast", "streaming", "switched broadcast", "unicast" ]
kp20k_training_38
quantitatively evaluating the influence of online social interactions in the community-assisted digital library
Online social interactions are useful in information seeking from digital libraries, but how to measure their influence on the user's information access actions has not yet been revealed. Studies on this problem give us interesting insights into the workings of human dynamics in the context of information access from d...
[ "community-assisted digital library", "statistical feature extraction", "online social interactions", "the influence model" ]
kp20k_training_39
THE CEO/CIO RELATIONSHIP REVISITED - AN EMPIRICAL-ASSESSMENT OF SATISFACTION WITH IS
The necessity of integrating information systems (IS) into corporate strategy has received widespread attention in recent years. Strategic planning has moved IS from serving primarily as a support function to a point where it may influence corporate strategy. The strength of this influence, however, usually is determin...
[ "relationship between ceo and cio", "satisfaction with information systems", "strategic planning", "role of information technology in strategic planning", "strategic information systems planning", "information technology in the motor carrier industry", "ceo satisfaction with is", "cio perceptions of c...
kp20k_training_40
Simulations of photosynthesis by a K-subset transforming system with membrane
By considering the inner regions of living cells' membranes, P systems with inner regions are introduced. Then, a new type of membrane computing systems are considered, called K-subset transforming systems with membranes, which can treat nonintegral multiplicities of objects. As an application, a K-subset transforming ...
[ "p system", "nonintegral multiplicity", "k-subset", "photosynthesis" ]
kp20k_training_41
Technologische Innovation und die Auswirkung auf Geschftsmodell, Organisation und Unternehmenskultur Die Transformation der IBM zum global integrierten, dienstleistungsorientierten Unternehmen
Im vorliegenden Beitrag wird der Einfluss von Innovationen der Informations- und Kommunikationstechnologie (IKT) auf die Transformation von Unternehmen untersucht. Zunchst werden die allgemeinen IKT-getriebenen Entwicklungslinien der Globalisierung und der Dienstleistungsorientierung beschrieben. Die nachfolgende Analy...
[ "innovation", "informations- und kommunikationstechnologie", "geschftsmodell", "organisation", "unternehmenskultur", "transformation", "vernderungsmanagement", "ibm", "innovation", "information and communication technology", "business model", "organization", "corporate culture", "transform...
kp20k_training_42
Modular robotics as a tool for education and entertainment
We developed I-BLOCKS, a modular electronic building block system and here we show how this system has proven useful, especially as an educational tool that allows hands-on learning in an easy manner. Through user studies we find limitations of the first I-BLOCKS system, and we show how the system can be improved by in...
[ "constructionism", "developing countries", "educational robots", "educational technology", "entertainment robots" ]
kp20k_training_43
The selective use of redundancy for video streaming over Vehicular Ad Hoc Networks
Video streaming over Vehicular Ad Hoc Networks (VANETs) offers the opportunity to deploy many interesting services. These services, however, are strongly prone to packet loss due to the highly dynamic topology and shared wireless medium inherent in the VANETs. A possible strategy to enhance the delivery rate is to use ...
[ "video streaming", "vanets", "redundancy", "erasure coding", "network coding" ]
kp20k_training_44
Syntactic recognition of ECG signals by attributed finite automata
A syntactic pattern recognition method of electrocardiograms (ECG) is described in which attributed automata are used to execute the analysis of ECG signals. An ECG signal is first encoded into a string of primitives and then attributed automata are used to analyse the string. We have found that we can perform fast and...
[ "attributed automata", "electrocardiograms", "filtering", "medical computation", "nondeterministic top-down parsing", "primitive extraction", "signal analysis", "syntactic pattern recognition" ]
kp20k_training_45
Lane-mark extraction for automobiles under complex conditions
We proposed a vision based lane-mark extraction method. We used multi-adaptive thresholds for different blocks. Based on the results, our method was robust for complex conditions. The proposed system could operate in real-time
[ "line fitting", "local edge-orientation", "kalman filter" ]
kp20k_training_46
Cultural differences explaining the differences in results in GSS: implications for the next decade
For the next decade, the support that comes from Group Support Systems (GSS) will be increasingly directed towards culturally diversified groups. While there have been many GSS studies concerning culture and cultural differences, no dedicated review of GSS researches exists for the identification of current gaps and op...
[ "cultural differences", "gss", "implications" ]
kp20k_training_47
Building an IP-based community wireless mesh network: Assessment of PACMAN as an IP address autoconfiguration protocol
Wireless mesh networks are experiencing rapid progress and inspiring numerous applications in different scenarios. due to features such as autoconfiguration, self-healing, connectivity coverage extension and support for dynamic topologies These particular characteristics make wireless mesh networks an appropriate archi...
[ "community networks", "wireless mesh networks", "experimental evaluation", "pacman" ]
kp20k_training_48
Approximating partition functions of the two-state spin system
Two-state spin system is a classical topic in statistical physics. We consider the problem of computing the partition function of the system on a bounded degree graph. Based on the self-avoiding tree, we prove the system exhibits strong correlation decay under the condition that the absolute value of inverse temperatur...
[ "approximation algorithms", "two-state spin system", "ising model", "gibbs measure", "uniqueness of gibbs measure", "fptas", "strong correlation decay" ]
kp20k_training_49
Efficient memory utilization for high-speed FPGA-based hardware emulators with SDRAMs
FPGA-based hardware. emulators are often used for the verification of LSI functions. They generally have dedicated external memories, such as SDRAMs, to compensate for the lack of memory capacity in FPGAs. In such a case, access between the FPGAs and the dedicated external memory may represent a major bottleneck with r...
[ "fpga-based hardware emulators", "sdram", "memory controller clock generator" ]
kp20k_training_50
Minimum stress optimal design with the level set method
This paper is devoted to minimum stress design in structural optimization. We propose a simple and efficient numerical algorithm for shape and topology optimization based on the level set method coupled with the topological derivative. We compute a shape derivative, as well as a topological derivative, for a stress-bas...
[ "level set method", "shape derivative", "topological derivative" ]
kp20k_training_51
Determination of wire recovery length in steel cables and its practical applications
In the presence of relatively significant states of radial pressures between the helical wires of a steel cable (spiral strand and/or wire rope), and significant levels of interwire friction, the individual broken wires tend to take up their appropriate share of the axial load within a certain length from the fractured...
[ "wire recovery length", "steel cables", "multi-layered spiral strand", "radial forces" ]
kp20k_training_52
Generalized PCM Coding of Images
Pulse-code modulation (PCM) with embedded quantization allows the rate of the PCM bitstream to be reduced by simply removing a fixed number of least significant bits from each codeword. Although this source coding technique is extremely simple, it has poor coding efficiency. In this paper, we present a generalized PCM ...
[ "binning", "interpolative coding", "pulse-code modulation", "quantization" ]
kp20k_training_53
Influence of motor and converter non-linearities on dynamic properties of DC drive with field weakening range
Improvement of the dynamic properties of DC drive in the field weakening range was the aim of investigation. The non-linear model of the drive system was applied. In the paper results of the comparative analysis of two emf control structures are presented. The classic emf control structure with subordinated excitation ...
[ "dc drive", "dynamic properties", "field control", "field weakening", "non-linear control" ]
kp20k_training_54
Rental software valuation in IT investment decisions
The growth of application service providers (ASPs) is very rapid, leading to a number of options to organizations interested in developing new information technology services. The advantages of an ASP include spreading out payments over a contract period and flexibility in terms of responding to changes in technology. ...
[ "options", "capital budgeting", "information technology investment", "application service providers", "stochastic processes", "risk analysis" ]
kp20k_training_55
An averaging scheme for macroscopic numerical simulation of nonconvex minimization problems
Averaging or gradient recovery techniques, which are a popular tool for improved convergence or superconvergence of finite element methods in elliptic partial differential equations, have not been recommended for nonconvex minimization problems as the energy minimization process enforces finer and finer oscillations an...
[ "averaging scheme", "nonconvex minimization", "convexification", "macroscopic numerical simulation", "adaptive mesh refinement" ]
kp20k_training_56
Which App? A recommender system of applications in markets: Implementation of the service for monitoring users' interaction
Users face the information overload problem when downloading applications in markets. This is mainly due to (i) the increasing unmanageable number of applications and (ii) the lack of an accurate and fine-grained categorization of the applications in the markets. To address this issue, we present an integrated solution...
[ "recommender system", "context-awareness", "mobile applications", "filtering" ]
kp20k_training_57
New statistical features for the design of fiber optic statistical mode sensors
Novel statistical features are proposed for the design of statistical mode sensors. Proposed statistical features are first and second order moments. Features are compared in terms of precision error, non-linearity, and hysteresis
[ "fiber optic sensor", "statistical mode sensor", "image processing", "statistical features" ]
kp20k_training_58
An efficient indexing method for content-based image retrieval
In this paper, we propose an efficient indexing method for content-based image retrieval. The proposed method introduces the ordered quantization to increase the distinction among the quantized feature descriptors. Thus, the feature point correspondences can be determined by the quantized feature descriptors, and they ...
[ "content-based image retrieval", "feature point correspondences", "ordered quantization", "multi-dimensional inverted index", "approximate ransac" ]
kp20k_training_59
Prediction intervals in linear regression taking into account errors on both axes
This study reports the expressions for the variances in the prediction of the response and predictor variables calculated with the bivariate least squares (BLS) regression technique. This technique takes into account the errors on both axes. Our results are compared with those of a simulation process based on six diffe...
[ "prediction", "linear regression", "errors on both axes", "confidence intervals", "predictor intervals" ]
kp20k_training_60
The PIAM approach to modular integrated assessment modelling
The next generation of integrated assessment modelling is envisaged as being organised as a modular process, in which modules encapsulating knowledge from different scientific disciplines are independently developed at distributed institutions and coupled afterwards in accordance with the question raised by the decisio...
[ "modularity", "modular modelling", "model integration", "integrated modelling", "integrated assessment modelling", "climate change" ]
kp20k_training_61
Finding multivariate outliers in fMRI time-series data
Multivariate outlier detection methods are applicable to fMRI time-series data. Removing outliers increases spatial specificity without hurting classification. Simulation shows PCOut is more sensitivity to small outliers than HD BACON
[ "outlier detection", "fmri", "high dimensional data" ]
kp20k_training_62
Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity
Consistency of preferences is related to rationality, which is associated with the transitivity property. Many properties suggested to model transitivity of preferences are inappropriate for reciprocal preference relations. In this paper, a functional equation is put forward to model the "cardinal consistency in the st...
[ "consistency", "fuzzy preference relation", "rationality", "reciprocity", "transitivity", "uninorm" ]
kp20k_training_63
Infomarker - A new Internet information service system
As the web grows, the massive increase in information is placing severe burdens on information retrieval and sharing. Automated search engines and directories with small editorial staff are unable to keep up with the increasing submission of web sites. To address the problem, this paper presents Infomarker - an Interne...
[ "open directory", "zero-keyword inquiry", "information matching engine", "layered keyword mapping" ]
kp20k_training_64
Grain flow measurements with X-ray techniques
The use of low energy X-rays, up to 30 keV, densitometry is demonstrated for grain flow rate measurements through laboratory experiments. Mass flow rates for corn were related to measured X-ray intensity in gray scale units with a 0.99 correlation coefficient for flow rates ranging from 2 to 6 kg/s. Larger flow rate va...
[ "precision farming", "x-ray", "yield monitoring", "yield sensor" ]
kp20k_training_65
Dynamic performance enhancement of microgrids by advanced sliding mode controller
Dynamics are the most important problems in the microgrid operation. In the islanded microgrid, the mismatch of parallel operations of inverters during dynamics can result in the instability. This paper considers severe dynamics which can occur in the microgrid. Microgrid can have different configurations with differen...
[ "current controlled-voltage source inverter", "dynamic stability", "microgrid", "sliding mode control", "transients", "disturbances" ]
kp20k_training_66
NEW IDENTIFICATION PROCEDURE FOR CONTINUOUS-TIME RADIO FREQUENCY POWER AMPLIFIER MODEL
In this paper, we present a new method for characterization of radio frequency Power Amplifier (PA) in the presence of nonlinear distortions which affect the modulated signal in Radiocommunication transmission system. The proposed procedure uses a gray box model where PA dynamics are modeled with a MIMO continuous filt...
[ "rf power amplifier", "parameter estimation", "nonlinear distortions", "modeling", "continuous time domain" ]
kp20k_training_67
Manufacturing lead-time rules: Customer retention versus tardiness costs
Inaccurate production backlog information is a major cause of late deliveries, which can result in penalty fees and loss of reputation. We identify conditions when it is particularly worthwhile to improve an information system to provide good lead-time information. We first analyze a sequential decision process model o...
[ "dynamic programming", "manufacturing", "markov decision processes", "due-date assignment", "marketing" ]
kp20k_training_68
On the Wiberg algorithm for matrix factorization in the presence of missing components
This paper considers the problem of factorizing a matrix with missing components into a product of two smaller matrices, also known as principal component analysis with missing data (PCAMD). The Wiberg algorithm is a numerical algorithm developed for the problem in the community of applied mathematics. We argue that th...
[ "matrix factorization", "singular value decomposition", "principal component analysis with missing data ", "structure from motion", "numerical algorithm" ]
kp20k_training_69
Semi-supervised local Fisher discriminant analysis for dimensionality reduction
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly because of overfitting. In such cases, unlabeled samples could be useful in improving the performance. In this paper, we propose a semi-supervised dimensionality reduction method which preserves...
[ "semi-supervised learning", "dimensionality reduction", "cluster assumption", "local fisher discriminant analysis", "principal component analysis" ]
kp20k_training_70
A stable fluidstructure-interaction solver for low-density rigid bodies using the immersed boundary projection method
Dispersion of low-density rigid particles with complex geometries is ubiquitous in both natural and industrial environments. We show that while explicit methods for coupling the incompressible NavierStokes equations and Newton's equations of motion are often sufficient to solve for the motion of cylindrical particles w...
[ "immersed boundary method", "fictitious fluid", "newton's equations of motion", "implicit coupling", "low density ratios", "complex particles" ]
kp20k_training_71
Latent word context model for information retrieval
The application of word sense disambiguation (WSD) techniques to information retrieval (IR) has yet to provide convincing retrieval results. Major obstacles to effective WSD in IR include coverage and granularity problems of word sense inventories, sparsity of document context, and limited information provided by short...
[ "retrieval models", "word context discrimination ", "word context", "topic models", "word sense disambiguation " ]
kp20k_training_72
Clusterization, frustration and collectivity in random networks
We consider the random Erdos-Renyi network with enhanced clusterization and Ising spins s = +/- 1 at the network nodes. Mutually linked spins interact with energy J. Magnetic properties of the system that are dependent on the clustering coefficient C are investigated with the Monte Carlo heat bath algorithm. For J > 0 ...
[ "random networks", "phase transitions" ]
kp20k_training_73
GPS/INS integration utilizing dynamic neural networks for vehicular navigation
Recently, methods based on Artificial Intelligence (AI) have been suggested to provide reliable positioning information for different land vehicle navigation applications integrating the Global Positioning System (GPS) with the Inertial Navigation System (INS). All existing AI-based methods are based on relating the IN...
[ "gps", "inertial navigation system ", "data fusion", "dynamic neural network", "ins/gps road tests" ]
kp20k_training_74
A unified probabilistic framework for automatic 3D facial expression analysis based on a Bayesian belief inference and statistical feature models
Textured 3D face models capture precise facial surfaces along with the associated textures, making it possible for an accurate description of facial activities. In this paper, we present a unified probabilistic framework based on a novel Bayesian Belief Network (BBN) for 3D facial expression and Action Unit (AU) recogn...
[ "bayesian belief network", "statistical feature model", "3d face", "facial expression recognition", "action units recognition", "automatic landmarking" ]
kp20k_training_75
MPML3D: Scripting Agents for the 3D Internet
The aim of this paper is two-fold. First, it describes a scripting language for specifying communicative behavior and interaction of computer-controlled agents ("bots") in the popular three-dimensional (3D) multiuser online world of "Second Life" and the emerging "OpenSimulator" project. While tools for designing avata...
[ "artificial, augmented, and virtual realities", "graphical user interfaces", "synchronous interaction", "visualization", "markup languages", "scripting languages" ]
kp20k_training_76
tlb and snoop energy-reduction using virtual caches in low-power chip-multiprocessors
In our quest to bring down the power consumption in low-power chip-multiprocessors, we have found that TLB and snoop accesses account for about 40% of the energy wasted by all L1 data-cache accesses. We have investigated the prospects of using virtual caches to bring down the number of TLB accesses. A key observation i...
[ "chip multiprocessors", "virtual caches", "snoop", "power consumption", "data cache", "association", "energy", "reduction", "cmp", "account", "virtualization", "caches", "cost", "low-power" ]
kp20k_training_77
extracting tennis statistics from wireless sensing environments
Creating statistics from sporting events is now widespread with most efforts to automate this process using various sensor devices. The problem with many of these statistical applications is that they require proprietary applications to process the sensed data and there is rarely an option to express a wide range of qu...
[ "sensor", "ubisense", "query", "xml" ]
kp20k_training_78
Critical success factors of inter-organizational information systems- A case study of Cisco and Xiao Tong in China
This paper reports a case study of an inter-organizational information system (IOS) of Cisco and Xiao Tong in China. We interviewed their senior managers, heads of departments and employees who have been directly affected in their work. Other sources of information are company documents and publicly available backgroun...
[ "inter-organizational information systems", "critical success factors", "china" ]
kp20k_training_79
Maize grain shape approaches for DEM modelling
The shape of a grain of maize was approached using the multi-sphere method. Models with single-spherical particles and with rolling friction were also used. Results from two DEM software codes were compared. Recommendations on the shape approach for DEM modelling were provided
[ "dem", "maize", "particle shape", "multi-spheres", "rolling friction", "flow" ]
kp20k_training_80
multi-sector antenna performance in dense wireless networks
Sectorized antennas provide an attractive solution to increase wireless network capacity through higher spatial reuse. Despite their increasing popularity, the real-world performance characteristics of such antennas in dense wireless mesh networks are not well understood. In this demo, we demonstrate our multi-sector a...
[ "sectorized antenna", "sector selection", "dense wireless mesh networks", "directional hidden terminal problem" ]
kp20k_training_81
Improvement of 3P and 6R mechanical robots reliability and quality applying FMEA and QFD approaches
In the past few years, extending usage of robotic systems has increased the importance of robot reliability and quality. To improve the robot reliability and quality by applying standard approaches such as Failure Mode and Effect Analysis (FMEA) and Quality Function Deployment (QFD) during the design of robot is necess...
[ "robot", "fmea", "qfd", "reliability", "quality", "performance" ]
kp20k_training_82
Informatics methodologies for evaluation research in the practice setting
A continuing challenge in health informatics and health evaluation is to enable access to the practice of health care so that the determinants of successful care and good health outcomes can be measured, evaluated and analysed. Furthermore the results of the analysis should be available to the health care practitioner ...
[ "data collection", "evaluation research", "health informatics", "clinical strategies" ]
kp20k_training_83
An improved SOM algorithm and its application to color feature extraction
Reducing the redundancy of dominant color features in an image and meanwhile preserving the diversity and quality of extracted colors is of importance in many applications such as image analysis and compression. This paper presents an improved self-organization map (SOM) algorithm namely MFD-SOM and its application to ...
[ "self-organizing map", "color feature extraction", "non-principal component", "competitive mechanism" ]
kp20k_training_84
A Motion Planning System for Mobile Robots
In this paper, a motion planning system for a mobile robot is proposed. Path planning tries to find a feasible path for mobile robots to move from a starting node to a target node in an environment with obstacles. A genetic algorithm is used to generate an optimal path by taking the advantage of its strong optimization...
[ "genetic algorithm", "mobile robot", "motion planning" ]
kp20k_training_85
A unified strategy for search and result representation for an online bibliographical catalogue
Purpose - One of the biggest concerns of modem information retrieval systems is reducing the user effort required for manual traversal and filtering of long matching document lists. Thus, the first goal of this research is to propose an improved scheme for representation of search results. Further, it aims to explore t...
[ "online catalogues", "information retrieval", "technology led strategy" ]
kp20k_training_86
robust multiple-phase switched-capacitor dc-dc converter with digital interleaving regulation scheme
An integrated switched-capacitor (SC) DC-DC converter with a digital interleaving regulation scheme is presented. By interleaving the newly-structured charge pump (CP) cells in multiple phases, the input current ripple and output voltage ripple are reduced significantly. The converter exhibits excellent robustness, eve...
[ "switched-capacitor dc-dc converter", "interleaving regulation" ]
kp20k_training_87
Teeth recognition based on multiple attempts in mobile device
Most traditional biometric approaches generally utilize a single image for personal identification. However, these approaches sometimes failed to recognize users in practical environment due to false-detected or undetected subject. Therefore, this paper proposes a novel recognition approach based on multiple frame imag...
[ "teeth recognition", "multiple attempts", "subject selection", "mobile device" ]
kp20k_training_88
A conceptual approach for the die structure design
A large number of decisions are made during the conceptual design stage which is characterized by a lack of complete geometric information. While existing CAD systems supporting the geometric aspects of design have had little impact at the conceptual design stage. To support the conceptual die design and the top-down d...
[ "cad", "conceptual design", "die structure design", "zigzag mapping", "logic component", "logic assembly" ]
kp20k_training_89
Approximation algorithm for coloring of dotted interval graphs
Dotted interval graphs were introduced by Aumann et al. [Y. Aumann, M. Lewenstein, O. Melamud, R. Pinter, Z. Yakhini, Dotted interval graphs and high throughput genotyping, in: ACM-SIAM Symposium on Discrete Algorithms. SODA 2005, pp. 339-348] as a generalization of interval graphs. The problem of coloring these graphs...
[ "approximation algorithms", "dotted interval graph", "intersection graph", "minimum coloring", "microsatellite genotyping" ]
kp20k_training_90
Scalable visibility color map construction in spatial databases
Recent advances in 3D modeling provide us with real 3D datasets to answer queries, such as What is the best position for a new billboard? and Which hotel room has the best view? in the presence of obstacles. These applications require measuring and differentiating the visibility of an object (target) from different vie...
[ "spatial databases", "query processing", "three-dimensional objects", "visibility color map" ]
kp20k_training_91
Toward a Neurogenetic Theory of Neuroticism
Recent advances in neuroscience and molecular biology have begun to identify neural and genetic correlates of complex traits. Future theories of personality need to integrate these data across the behavioral, neural, and genetic level of analysis and further explain the underlying epigenetic processes by which genes an...
[ "neuroticism", "personality", "complex traits" ]
kp20k_training_92
Technological means of communication and collaboration in archives and records management
This study explores the international collaboration efforts of archivists and records managers starting with the hypothesis that Internet technologies have had a significant impact on both national and international communication for this previously conservative group. The use and importance of mailing lists for this p...
[ "archives administration", "records management", "internet", "mailing lists", "forums" ]
kp20k_training_93
Privacy Preserving Decision Tree Learning Using Unrealized Data Sets
Privacy preservation is important for machine learning and data mining, but measures designed to protect private information often result in a trade-off: reduced utility of the training samples. This paper introduces a privacy preserving approach that can be applied to decision tree learning, without concomitant loss o...
[ "classification", "data mining", "machine learning", "security and privacy protection" ]
kp20k_training_95
Fast parameter-free region growing segmentation with application to surgical planning
In this paper, we propose a self-assessed adaptive region growing segmentation algorithm. In the context of an experimental virtual-reality surgical planning software platform, our method successfully delineates main tissues relevant for reconstructive surgery, such as fat, muscle, and bone. We rely on a self-tuning ap...
[ "ct", "segmentation", "region growing", "surgical planning", "virtual reality" ]
kp20k_training_96
Accuracy and efficiency in computing electrostatic potential for an ion channel model in layered dielectric/electrolyte media
This paper will investigate the numerical accuracy and efficiency in computing the electrostatic potential for a finite-height cylinder, used in an explicit/implicit hybrid solvation model for ion channel and embedded in a layered dielectric/electrolyte medium representing a biological membrane and ionic solvents. A ch...
[ "poissonboltzmann equation", "layered electrolytes and dielectrics", "image charge method", "ion channels", "the explicit/implicit hybrid solvation model" ]
kp20k_training_97
The social sharing of emotion (SSE) in online social networks: A case study in Live Journal
Using content analysis, we gauge the occurrence of social sharing of emotion (SSE) in Live Journal. We present a theoretical model of a three-cycle process for online SSE. A large part of emotional blog posts showed full initiation of social sharing. Affective feedback provided empathy, emotional support and admiration...
[ "social sharing of emotion", "online communication", "social networking sites", "blog", "social interaction", "emotion" ]
kp20k_training_98
Non-testing approaches under REACH - help or hindrance? Perspectives from a practitioner within industry
Legislation such as REACH strongly advocates the use of alternative approaches including invitro, (Q)SARs, and chemical categories as a means to satisfy the information requirements for risk assessment. One of the most promising alternative approaches is that of chemical categories, where the underlying hypothesis is t...
[ "reach", "sar", "chemical category", "qmrf", "qprf" ]
kp20k_training_99
Realtime performance analysis of different combinations of fuzzyPID and bias controllers for a two degree of freedom electrohydraulic parallel manipulator
Development of a 2 DOF electrohydraulic motion simulator as a parallel manipulator. Control of heave, pitch and combined heave and pitch motion of the parallel manipulator. Design of PID, fuzzyPID, self-tuning fuzzyPID and self-tuning fuzzyPID with bias controllers. Use of different combinations of fuzzyPID and bias co...
[ "electrohydraulic systems", "real-time control", "parallel manipulator", "fuzzy control" ]
kp20k_training_100
On the depth distribution of linear codes
The depth distribution of a linear code was recently introduced by Etzion. In this correspondence, a number of basic and interesting properties for the depth of finite words and the depth distribution of linear codes are obtained. In addition, we study the enumeration problem of counting the number of linear subcodes w...
[ "depth", "depth distribution", "depth-equivalence classes", "derivative", "linear codes", "reed-muller codes", "ternary golay code" ]
kp20k_training_101
Are we there yet
Statistical approaches to Artificial Intelligence are behind most success stories of the field in the past decade. The idea of generating non-trivial behaviour by analysing vast amounts of data has enabled recommendation systems, search engines, spam filters, optical character recognition, machine translation and speec...
[ "artificial intelligence", "intelligent behaviour", "cybernetics", "statistical learning theory", "data driven ai", "intelligent systems", "pattern analysis", "viterbis algorithm", "history of artificial intelligence" ]
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