Sentence parsing is a fundamental step in the conversion of text document into semantic graphs. In this research, novel phrase techniques for graph-based induction are presented, namely ChatGPT-based and Hybrid Parser-based approaches. The performance these two approaches context inducing networks from textual data assessed through comprehensive analysis study. primary purpose to enhance construction graphs, specifically focusing on capturing detailed event descriptions relationships within...

In the last few decades many papers have written about analysis of infant cry. The acoustic has a shorter history than emotional, physiological, etc. investigations. This paper deals with classical and new methods final goal is to detect hearing disorders according crying at earliest possible moment. Classical were reproduced compared solutions, which not available before. most all characteristics fundamental frequency cry in time domain.

Automated Question Generation is a key component of intelligent tutorial systems. This system combines several distinct tools from very different areas information technology, among other clustering and classification units. The developed prototype was tested in real application with high-school students. performed tests show that the automatically generated questions are as good manually constructed tests.

Large databases of scanned documents (medical records, legal texts, historical documents) require natural language processing for retrieval and structured information extraction. Errors caused by the optical character recognition (OCR) system increase ambiguity recognized text decrease performance processing. The paper proposes OCR post correction with parametrized string distance metric. learns specific error patterns from incorrect words common sequences correct words. A smoothing...

Vehicle routing problem (VRP) is a highly investigated discrete optimization problem. The first paper was published in 1959, and later, many vehicle variants appeared to simulate real logistical systems. Since an NP-difficult task, the can be solved by approximation algorithms. Metaheuristics give “good” result within “acceptable” time. When developing new metaheuristic algorithm, researchers usually use only their intuition test results verify efficiency of comparing it other However, may...

The pre-clustering is an efficient data reduction method in the case of large sets. In process, important aspect to provide a good intra-cluster similarity. Most traditional methods do not consider this and they generate weak clusters. paper presents some algorithms optimize key parameters (like branching factor, quality threshold selection separator line) BIRCH method.

An assistive tool (InterpreterGlove) for hearing- and speech impaired people is created, enabling them to easily communicate with the non-disabled using hand gestures sign language. integrated hardware software solution built improve their standard of living, consisting sensor network based motion-capture gloves, a low-level signal processing unit mobile application high-level natural language processing. This paper introduces overall system architecture describes our automatic interpreter...

The paper aims to investigate the basin of attraction map a complex Vehicle Routing Problem with random walk analysis. (VRP) is common discrete optimization problem in field logistics. In case base VRP, positions one single depot and many customers (which have product demands) are given. vehicles their capacity limits also fixed system objective function minimization length route. literature, approaches appeared simulate transportation demands. Most using some kind metaheuristics. Solving...

The classical fuzzy rule interpolators work in Euclidean spaces where the new value can be generated from training values. paper investigates case when values are defined over general metric spaces. In this a classification process is used to approximate requested value. introduces base method for process.

<p>E-Learning is an important support mechanism for educational systems to increase the efficiency of education process including students and teachers. The current e-learning typically lack level metacognitive awareness, adaptive tutoring, time management skills have not always met expectations learners as required. In this study, we introduce a novel ontological model learning in domain. framework, built domain ontology that represents knowledge learning, outcome covers whole...

The radio spectrum is a scarce and thus expensive resource. exclusive licences of today's practice easily solve the problem interference, but clearly inadequate for providing optimal efficiency dynamically varying demands. We propose new model dynamic allocation (DSA) to increase spectral efficiency, that handles interference issues in flexible way. level between different technologies geographic regions captured by introduced technology coupling geometric parameters. tolerance from network...

Location- and context-aware services are emerging technologies in mobile desktop environments, however, most of them difficult to use do not seem be beneficial enough. Our research focuses on designing creating a service-oriented framework that helps location- context-aware, client-service type application development use. Location information is combined with other contexts such as the users' history, preferences disabilities. The also handles spatial model environment (e.g. map room or...

Abstract The efficient operation of logistic processes requires a wide range design tasks to ensure efficient, flexible and reliable connected production service processes. Autonomous electric vehicles support the in-plant supply cyber-physical manufacturing systems. Within frame this article, extension Two-Echelon Vehicle Routing Problem with recharge stations is analyzed. objective function optimization problem minimization costs. 2E-VRP means that second level (electric vehicles, must be...

This paper presents the discovery engine implemented for INFRAWEBS project, which combines a traditional IR-based pre-filtering step and logic-based matching in Prolog. The of uses novel technique based on Prolog-style unification terms. approach performs well finding matches intersection type, it also provides possibilities to compare, rank explain these matches. Furthermore, can support ranking users' preferences compared added value offered by services.

An interpolation of fuzzy sets is an important method in development efficient rule systems.An property the interpolated set distance minimum property.As can be seen, validity this depends on applied metric.The authors analyse relationship among base and generated case KH linear interpolation.The paper presents new properties entropy-based distances proposes appropriate for optimum interpolation.

An integrated library information system is a resource planning for library, used to track resources owned, bills paid, orders made, and patrons who have borrowed. In our research, we focused on university systems (ULISs). We identified an important research question regarding their main limitation in offering intelligent help the students documentation/learning. importance of endowment ULISs with artificial intelligence. this article, analyzed different aspects related presence...

One way to view the multigranular rough set model is that assessment of more experts are considered when determining approximations a set, instead single equivalence relation expressing indiscernibility objects. There two approaches for modeling this: optimistic and pessimistic models. In this paper, we analyze both from lattice-theoretic point view. We generalize existing results relations (two experts) n relations, completing them with additional findings. also characterize order...

This paper aims to present a generalized ontology model for the Vehicle Routing Problem (VRP) and it gives some out-plant material handling case studies. The is logistics task where customers with specific need products are served within least possible distance traveled by vehicles. has been highly investigated in operations research, computer science, transportation mathematics. As our new approach shows, VRP can be used in-plant passenger transport. complex, multi-component heterogeneous...

Evaluation of digital libraries assesses their effectiveness, quality and overall impact. In this paper we present a novel, multi-level logging framework that will provide complete coverage the different aspects DL usage for user-system interactions. Based on framework, can analyse various stakeholders data according to specific interests. addition, analysis tools freely accessible log repository yield synergies sustainability in evaluation encourage community by providing discussion common ground.