Computer Science Journal (AGH University of Science and Technology, Krakow)
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Decision support system of discount pricing analysis using the method of elimination et choix traduisant la realité (ELECTRE)
Get PDFThis study implement decision support system approach to determine price discount using Elimination et Choix Traduisant la Realite (ELECTRE) method. ELECTRE method is widely recognized to have good performance to analyze user behavior criteria. This study simulated consumer behavior which can be affected by the criteria to make a purchase in simulated ecommerce website. Our model contains three parts of matrices analysis: (a) Average value of Discounted price (DP); (b) Average value of Product Brand (PB); and (c) Average value of purchase decision (PD). We used them as main alternatives, eg, price discounts as first alternative (A1), brand discount as second alternative (A2), and purchase discount as third alternative (A3). Based on the results of the dominant aggregation matrix, the study found that the result is dominated by A2 of brand discount. In other words it is recommended to decision maker to focus their discount on certain brand more precisely as a marketing strategy than price discount or purchase discount
Misfit landforms imposed by ill-conditioned inverse parametric problems
Get PDFIn the paper, we put forward a new topological taxonomy which allows to distinguish and separate multiple solutions to the ill-conditioned parametric inverse problems appearing in engineering, geophysics, medicine, etc. This taxonomy distinguishes the areas of insensitivity to parameters, called landforms of the misfit landscape, be it around minima (lowlands), maxima (uplands), or stationary points (shelves). We proved their important separability and completeness conditions. In particular, lowlands, uplands and shelves are pairwise disjoint and there are no other subsets of the positive measure in the admissible domain on which misfit function takes a constant value. The topological taxonomy is related to the second, \u27local\u27 one, which characterizes the types of ill-conditioning of the particular solutions. We hope that the proposed results will be helpful for a better and more precise formulation of the ill-conditioned inverse problems and for selecting and profiling complex optimization strategies used to solve these problems
Generation of Cryptographic Keys with Algorithm of Polygon Triangulation and Catalan Numbers
Get PDFIn this paper is presented a procedure for the application of one computational geometry algorithm in the process of generating hidden cryptographic keys from one segment of the 3D image. The presented procedure consists of three phases. In the first phase, is done the separation of one segment from the 3D image and determination of triangulation of the separated polygon. In the second phase, is done a conversion from the obtained triangulation of the polygon in the record which represent the Catalan key. In the third phase, the Catalan-key is applied in encryption of text based on the balanced parentheses combinatorial problem
A case study of project management in district court
No full textThe aim of the article is to present the project environment for the implementation of the IT system in the district court, as well as the analysis of the entities and processes on the basis of which two models were built. The first of these models includes all identified processes to whom have been assigned responsible entities and the artefacts, arising as a result of these process. The second model is the extension of the first model with identified missing processes and entities. The analysis and identification of processes, entities and artefacts was carried out on the basis of the realized project of customization and implementation of the IT system. Customization involves the parameterization and adjusting of a standard solution to the needs of a specific recipient (Wieczorkowski, 2015), in this case to the needs of the district court. This case study is part of research in the area of project management in the common courts for the needs of doctoral dissertation. The methodology of this research is presented in the third chapter
Audio-visual speech processing system for Polish applicable to human-computer interaction
Get PDFThis paper describes audio-visual speech recognition system for Polish language and a set of performance tests under various acoustic conditions. We first present the overall structure of AVASR systems with three main areas: audio features extraction, visual features extraction and subsequently, audiovisual speech integration. We present MFCC features for audio stream with standard HMM modeling technique, then we describe appearance and shape based visual features. Subsequently we present two feature integration techniques, feature concatenation and model fusion. We also discuss the results of a set of experiments conducted to select best system setup for Polish, under noisy audio conditions. Experiments are simulating human-computer interaction in computer control case with voice commands in difficult audio environments. With Active Appearance Model (AAM) and multistream Hidden Markov Model (HMM) we can improve system accuracy by reducing Word Error Rate for more than 30%, comparing to audio-only speech recognition, when Signal-to-Noise Ratio goes down to 0dB
Intrinsic dimensionality detection criterion based on Locally Linear Embedding
Get PDFWe revisit in this work the Locally Linear Embedding (LLE) algorithm which is a widely employed technique in dimensionality reduction. With a particular interest on the correspondences of nearest neighbors in the original and em- bedded spaces, we observe that, when prescribing low-dimensional embedding spaces, LLE remains merely a weight preserving, rather than a neighborhood preserving algorithm. We propose thus a ”neighborhood preserving ratio” crite- rion to estimate a minimal intrinsic dimensionality required for neighbourhood preservation. We validate its efficiency on a set of synthetic data, including S-curve, swiss roll, as well as a dataset of grayscale images
FPGA Implementation of Procedures for Video Quality Assessment
Get PDFVideo resolutions used in a variety of media are constantly rising. While manufacturers struggle to perfect their screens, it is also important to ensure high quality of displayed image. Overall quality can be measured using Mean Opinion Score (MOS). Video quality can be aected by miscellaneous artifacts, appearing at every stage of video creation and transmission. In this paper, we present a solution to calculate four distinct video quality metrics that can be applied to a real-time video quality assessment system. Our assessment module is capable of processing 8K resolution in real time set at the level of 30 frames per second. The throughput of 2.19 GB/s surpasses the performance of pure software solutions. The module was created using a high-level language to concentrate on the architectural optimization
Building semantic user profile for Polish web news portal
Get PDFWe present our research at Onet, the largest Polish news portal, aimed at constructing meaningful user profiles that are most descriptive of their interests in the context of the media content they browse. We used two distinct state-of-the-art numerical text-representation techniques: LDA topic modeling and Word2Vec word embeddings. We trained our models on the corpora of articles in Polish and compare them with a baseline model built on a general language corpora.We compared the performance of algorithms on two distinct tasks - similar articles retrieval and users gender classification. Our results show that the choice of text representation depends on the task - Word2Vec is more suitable for text comparison, especially for short texts such as titles. In the user profiling task, the best performance was obtained with a combination of features: topics from the article text and word embeddings from the title
Semantic-enabled Hybrid Genetic Disease Diagnostics in Next-Generation Sequenced Data
Get PDFNext Generation Sequencing is a technology for genome sequencing used in genetics for diseased diagnosis. NGS provides the list of all mutations in a genome, so identifying the one which causes a disease is not trivial. A number of applications for variant prioritization was developed, but the data they provide is rather a suggestion than a diagnosis, moreover they suffer from issues as identifying nonpathogenic variant as a causal one or inability to identify the causal gene. These issues inspired us to create a strategy for variant prioritization which includes the use of Exomiser and OmimExplorer result sets improved by semantic analysis of abstracts and articles freely available from PubMed and PubMed Central databases. For the wider scope of scientific articles Google Scholar repository will be used. Described approach enables to present latest and most accurate information about potential pathogenic variants
Examples of multiple criteria ranking in the design of cellular networks of mobile telecommunication
Get PDFThe paper addresses planning and design of contemporary networks of mobile telecommunication, where an existing network is subject to far reaching development and modication, thus evolution with diverse requirements of users and diverse density of network cells. This leads to considering diverse variants of network designs. When several variants of network designs are available, an investor might ask for a ranking of these variants. The investor is obviously not bounded by the results of such a ranking and might select a variant not highest in the ranking, but an objectied ranking might help in the selection.Therefore, the paper presents the way of computing and examples of objectied multiple criteria ranking, possibly not requiring the determination of weighting coecients