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Personality-based and trust-aware products recommendation in social networks

Applied Intelligence 2023年第1期53卷 879-903页

作者： Vatani, Nasim Rahmani, Amir Masoud Javadi, Hamid Haj Seyyed Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Future Technology Research Center National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou64002 Taiwan Department of Mathematics and Computer Science Shahed University Tehran Iran

In recent years, with the development of technology, the shopping approach of people has moved towards pervasive online social shopping. As a result, how to create a recommendation algorithm that offers products based on the personal and different needs and tastes of people on social networks is a significant research issue. This article proposes a personality-based and trust-aware probabilistic product recommendation algorithm in social networks. We present a dynamic method for determining how similar people in social networks are. For this purpose, we consider the personality-based features of recommendation attributes of products in social networks. Then, the level of trust of products and types of correlations among the products is considered to create a probabilistic matrix of product recommendation. Moreover, for solving the cold start problem of products, we consider qualitative aspects of products while exploiting personality-based user behavior regarding their purchases. At last, the empirical experiments are conducted to analyze the impact of the algorithm’s different influence factors using the Amazon dataset. Moreover, the results of comprehensive experiments adopted to verify the proposed personalized recommendation algorithm’s effectiveness show that the proposed algorithm has the appropriate effectiveness and the higher accuracy. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

关键词： Behavioral research

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A simulated-data adaptation technique for robust speech recognition

A simulated-data adaptation technique for robust speech reco...

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INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP

作者： Thatphithakkul, Nattanun Kruatrachue, Boontee Wutiwiwatchai, Chai Marukatat, Sanparith Boonpiam, Vataya Department of Computer Engineering King Mongkut's Institude of Technology Ladkrabang Bangkok 10520 Thailand Speech Technology Section Information Research and Development Division National Electronics and Computer Technology Center Pathumthani 12120 Thailand

ISBN: (纸本)9781604234497

This paper proposes an efficient acoustic model adaptation method based on the use of simulated-data in maximum likelihood linear regression (MLLR) adaptation for robust speech recognition. Online MLLR adaptation is an unsupervised process which requires an input speech with phone labels transcribed automatically. Instead of using only the input signal in adaptation, our proposed simulated data method increases the size of adaptation data by adding noise portions extracted from the input speech to a set of pre-recorded clean speech, whose correct transcriptions are known. Various configurations of the proposed method are explored. Evaluations are performed with both additive and real noisy speech. The experimental results show that the proposed system achieves higher recognition rate than the system using only the input speech in adaptation and the system using a multi-conditioned acoustic model.

关键词： Transcription

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UML and NFR-framework based method for the analysis of the requirements of an information system

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International Journal of Information technology (Singapore) 2023年第1期15卷 411-422页

作者： Arif, Mohd. Mohammad, Chaudhary Wali Sadiq, Mohd. Computer Science and Technology Research Group Department of Applied Sciences and Humanities Faculty of Engineering and Technology Jamia Millia Islamia A Central University New Delhi 110025 India Software Engineering Lab Computer Engineering Section UPFET Jamia Millia Islamia A Central University New Delhi 110025 India

Software requirements are the expectation of stakeholders which are identified and modeled by various requirements elicitation and modeling techniques like traditional methods, goal oriented methods, and unified modeling language (UML), etc. The identified software requirements are broadly classified into functional requirements (FRs) and non-functional requirements (NFRs). Based on our literature review, we found that most of the focus in the area of software engineering is on the analysis of FRs as compared to NFRs. For the successful development of any information system both FRs and NFRs should be considered equally during the elicitation and modeling process;and ignoring NFRs may lead to failure of software. Therefore, to address this issue, we developed a method for the analysis of both FRs and NFRs so that a successful software product can be developed by a software company. In the proposed method, FRs are modeled by UML use-case diagram, class-diagram, and activity diagram. The NFRs are analyzed using NFR-framework;and NFR propagation rules have been derived from the requirements of an information system. In this framework, fuzzy based approach has been used to analyze the contribution links of softgoal interdependency graph. The applicability of the proposed method is discussed by using FRs and NFRs of library information system. © 2022, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of computer Applications and Management.

关键词： Functional requirements Library information system Non-functional requirements Software requirements UML

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A wavelet-tree-based watermarking method using distance vector of binary cluster

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Expert Systems with Applications 2009年第6期36卷 9869-9878页

作者： Lin, Wei-Hung Wang, Yuh-Rau Horng, Shi-Jinn Dept. of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan Dept. of Computer Science and Information Engineering St. John's University 499 Section 4 Tam-King Road Taipei Taiwan Dept. of Electronic Engineering National United University Miao-Li Taiwan

This paper proposes a wavelet-tree-based watermarking method using distance vector of binary cluster for copyright protection. In the proposed method, wavelet trees are classified into two clusters using the distance vector to denote binary watermark bits. The two smallest wavelet coefficients in a wavelet tree are used to reduce distortion of a watermarked image. The distance vector, which is obtained from the two smallest coefficients of a wavelet tree, is quantized to decrease image distortion. The trees are classified into two clusters so that they exhibit a sufficiently large statistical difference based on the distance vector, which difference is then used for subsequent watermark extraction. We compare the statistical difference and the distance vector of a wavelet tree to decide which watermark bit is embedded in the embedding process. The experimental results show that the watermarked image looks visually identical to the original and the watermark can be effectively extracted upon image processing attacks. © 2009 Elsevier Ltd. All rights reserved.

关键词： Vectors

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Intelligent Cancer Detection System

Intelligent Cancer Detection System

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2021 International Conference on Intelligent Technologies, CONIT 2021

作者： Das, Utpol Kanti Sikder, Juel Salma, Umme Anwar, A M Shahed Rangamati Science and Technology University Dept. of Computer Science and Engineering Rangamati Bangladesh Bangladesh University Dept. of Computer Science and Engineering Dhaka Bangladesh Rangamati Science and Technology University Dept. of IT Section Rangamati Bangladesh

ISBN: (纸本)9781728185835

Histopathology and MRI produce different types of images and a single procedure to detect cancerous cells from both of them is considered tedious and time-consuming. Therefore, this study proposes a strategy that can perform segmentation, classification and detection over numerous categories of cancer cells. This experimentation demands the preprocessing to intensify the cells' pictorial characteristic and to segment the intended cancerous cell k-means algorithm applied. The Convolutional Neural Network (CNN) classifier being considered as the best method classifying the test image using the feature extraction method on the filtered cell. Considering the system detects cancer, different morphological operations are applied on the extracted cancer region, and finally, we calculated the percentage of the cancerous area. The MATLAB environment has been used on Histopathology and MRI images of the infected cell from various authentic datasets of various cancers mainly Brain, Breast, Leukemia and Lung cancer. The proposed arrangements of methods give improved accuracy as compared to the other existing methods. © 2021 IEEE.

关键词： Convolutional neural networks

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SOFTWARE TOOLS FOR ABSTRACT PROTOTYPING OF DESIGN SUPPORT TOOLS

SOFTWARE TOOLS FOR ABSTRACT PROTOTYPING OF DESIGN SUPPORT TO...

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ASME 2000 International Design engineering Technical Conferences and computers and Information in engineering Conference, IDETC-CIE 2000

作者： Opiyo, Eliab Z. Horváth, Imre Vergeest, Joris S.M. Delft University of Technology Faculty of Design Engineering and Production Department of Design Engineering Computer Aided Design and Engineering Section Jaffalaan 9 DelftNL-2628 BX Netherlands

ISBN: (纸本)9780791835111

Systematic design, user centered implementation and testing to requirements can contribute significantly to assuring quality of design support tools. The problem is that disorganized requirements elicitation and testing is generally time consuming and can sometimes lead to formulation of incomplete specification requirements. Furthermore, current software testing techniques involve usage of partially or fully implemented prototypes and thus provide feedback for the developers too late. These problems can be avoided through the application of a novel computer based pre-implementation testing technique, called abstract prototyping. It comprises structured multistage design and evaluation cycles, involving both the developers and the potential end-users as the evaluation subjects. This technique introduces quality improvement cycles early in the development process, well before the implementation of prototypes, and provides a structured framework for defining requirements and testing of design support tools. In this paper we first introduce the abstract prototyping technique. Then we describe the architecture and functionality of the software developed for abstract prototyping. We also give an example on the application of this software tool for evaluation of the particle system theory for vague modeling of shapes in conceptual design. This software tool facilitated definition of requirements and testing to the formulated requirements. In this case the particle system theory represented the highest level of abstraction of the vague modeling software tool. The same procedure can be used in the subsequent levels of abstraction of methods, algorithms and pilot implementations. We can argue that the abstract prototyping technique helps to achieve the kinds of improvement and quality gains that are expected in the development of new design support tools and in upgrading the existing tools. Copyright © 2000 by ASME.

关键词： System theory

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Music emotion recognition based on two-level support vector classification

Music emotion recognition based on two-level support vector ...

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2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016

作者： Lin, Chingshun Liu, Mingyu Hsiung, Weiwei Jhang, Jhihsiang Department of Electronic and Computer Engineering National Taiwan University of Science and Technology 43 Section 4 Keelung Rd. Taipei Taiwan

ISBN: (纸本)9781509003891

Music emotion recognition (MER) detects the inherently emotional expression of people for a music clip. MER is helpful in music understanding, music retrieval, and other music-related applications. As volume of online musical contents expands rapidly in recent years, demands for retrieval by emotion have been emerging lately. Determining the emotional content of music computationally is an interdisciplinary research involving not only signal processing and machine learning, but the understanding of auditory perception, psychology, cognitive science, and musicology. One of the challenges in evaluating automatic music emotion detection is that there is currently no well-developed emotion model for music emotion description. Moreover, owing to the low transparency of the acoustic feature based music emotion recognizer, it is difficult to interpret data generated by this mechanism. In this study, a two-level classification system based on both music genre and music feature pre-described by the domain knowledge is proposed. This framework has the advantage of utilizing the most suitable acoustic information. Experiments will be conducted via the measure of the correlation between diverse emotional expressions and various musical cues. To verify the performance of overall system, the proposal model will also be evaluated based on the consistency between music features and ground-truth emotions. © 2016 IEEE.

关键词： Emotion Recognition

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Patch Antenna with Omnidirectional Radiation Pattern for Compact Application 9

Patch Antenna with Omnidirectional Radiation Pattern for Com...

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9th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2023

作者： Aziz, Nur Farahwahida Binti Ab Nilavalan, Rajagopal Universiti Kuala Lumpur Malaysian Institute of Information Technology Computer Engineering Technology Section Kuala Lumpur Malaysia Brunel University College of Engineering Design and Physical Sciences London United Kingdom

ISBN: (纸本)9798350343380

This paper discussed the construction of a patch antenna with an omnidirectional radiation pattern. A conventional patch antenna normally has a directional radiation pattern. However, in this paper, the patch antenna is designed so that it gives omnidirectional radiation pattern operating at 1 GHz frequency with half of the size of conventional patch antenna. The omnidirectional radiation pattern is desirable as it permits the antenna to receive or transmit signals for any arbitrary angle over a full plane. It is done by using air as a substrate for the patch antenna. The reduction in size of the patch antenna is due to the addition of two shorting pins. The construction of the patch antenna is conducted in Ansys High Frequency Structure Simulator (HFSS) and all the related parameters are measured. Then, the antenna is printed and the same parameters are measured in the laboratory. The simulation and measurement results are then compared. © 2023 IEEE.

关键词： Microstrip antennas

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Colour image skeletonisation 10

Colour image skeletonisation

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2000 10th European Signal Processing Conference, EUSIPCO 2000

作者： Andreadis, Ioannis Vardavoulia, Maria I. Louverdis, Gerasimos Papamarkos, Nikolaos Section of Electronics and Information Systems Technology Department of Electrical and Computer Engineering Democritus University of Thrace XanthiGR-671 00 Greece

ISBN: (纸本)9789521504433

In this paper a new morphological technique suitable for colour image skeleton extraction is presented. Vector morphological operations are defined by means of a new ordering of vectors of the HSV colour space, which is a combination of conditional and partial sub-ordering. Then, these are used to extract skeletons of colour images in terms of erosions and openings. The proposed method was tested with a variety of images and such experimental results are provided. Its applications include image compression and recognition problems. © 2000 EUSIPCO.

关键词： Image compression

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A FIXED POINT APPROACH TO THE STABILITY OF A GENERAL MIXED ADDITIVE-CUBIC EQUATION ON BANACH MODULES

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Acta Mathematica Scientia 2012年第3期32卷 866-892页

作者：许天周 Rassias John Michael 许婉欣 School of Mathematics Beijing Institute of Technology Pedagogical Department E.E. Section of Mathematics and InformaticsNational and Capodistrian University of Athens4Agamemnonos Str.Aghia ParaskeviAthens 15342Greece School of Communication and Information Engineering University of Electronic Science and Technology of China Department of Electrical and Computer Engineering College of EngineeringUniversity of KentuckyLexington 40506USA

Using a fixed-point method, we establish the generalized Hyers-Ulam stability of a general mixed additive-cubic equation： f（kx ＋ y）＋ f（kx - y） = kf（x ＋ y）＋ kf（x - y）＋ 2f（kx） - 2kf（x） in Banach mod... 详细信息

关键词： Banach module stability additive function cubic function unital Banach algebra generalized metric space fixed-point JMRassias （or JMR） mixed product-sum of powers of norms

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