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检索条件"丛书名=Advances in Intelligent Systems and Computing"

共 33563 条记录，以下是811-820 订阅

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Mining Students' Topics of Interest and Innermost Feelings Through Confession Pages

Mining Students' Topics of Interest and Innermost Feelings T...

引用

4th International Conference on intelligent Human systems Integration (IHSI) - Integrating People and intelligent systems

作者： Hoang Huu Son Dong Thi Ngoc Lan Ngo Thanh Hoang Dao Minh Tam Pham Thi Phuc Tran Thi Huong Acad Finance Le Van Hien Str 58 Hanoi Vietnam

ISBN: (纸本)9783030680176;9783030680169

Capturing psychological changes and aspirations of the young, especially students, is always the essential concerns. However, this is still a big challenge not only for administrators but also for psychologists. Due to the population of sharing inside feeling trends through confessions in student communities, confession pages become a valuable source for identifying the interests and attitudes of communities. In our research, we propose a confession pages mining methodology based on text analysis method. This method is applied to several confession pages of student communities in a year to find out interest issues and their attitude. As a result, the model achieved average accuracy as F-measure = 62.45% for interest issues classification and Fmeasure = 76.43% for sentiment classification. The model have been applied to mining characteristics of community of four universities.

关键词： Facebook confession Topic interests Sentiment analysis

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Unsupervised Image Segmentation Using THMRF Model 1

引用

20th International Conference on Hybrid intelligent systems, HIS 2020 and 12th World Congress on Nature and Biologically Inspired computing, NaBIC 2020

作者： Mouna, Zitouni Mourad, Zribi Afif, Masmoudi Laboratory of Probability and Statistics Sfax University B.P. 1171 Sfax Tunisia ULCO 50 Rue Ferdinand Buisson BP 719 Calais Cedex62228 France

ISBN: (数字)9783030730505

ISBN: (纸本)9783030730499

In this paper, a segmentation algorithm of brain magnetic resonance imaging is proposed. The proposed method rests on Tweedie hidden Markov random field processing and the Expectation- Method of moments and Maximization algorithm. The algorithm was validated on synthetic and real images. The basic merit of our proposed method of segmentation lies in its ability to quantify the complex structure as brain tumor. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Magnetic resonance imaging

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Design of a Ventilation System for the Uchucchacua-Buenaventura Oyon-Lima Mine

Design of a Ventilation System for the Uchucchacua-Buenavent...

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4th International Conference on intelligent Human systems Integration (IHSI) - Integrating People and intelligent systems

作者： Espinoza, Luis Quispe, Grimaldo Raymundo, Carlos Univ Continental Fac Ingn Huancayo Peru Univ Nacl Autonoma Altoandina Tarma Fac Ingn Tarma Peru Univ Peruana Ciencias Aplicadas Direcc Invest Lima 15023 Peru

ISBN: (纸本)9783030680176;9783030680169

One of the very important activities in underground mining is ventilation, because air has to be supplied in most of the cases that is fresh and clean for the tasks in which they are in operation, taking into account the conditions that the product already has of the previous activities, such as: implementation of alternative methods such as the use of fans, extractors or work for ventilation purposes in order to achieve an adequate, healthy and comfortable environment for all employees who are in the mine;is that constant improvements are made to the "ventilation system." That is why this article aims to simulate a new ventilation system that enhances the current ventilation system of the "Uchucchacua" mine of the Buenaventura company located in the province of OyonLima, taking into account, that sufficient air flow must be guaranteed for persons and equipment authorized to work on a watch.

关键词： Ventilation system Air flow Ventilation system design

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A Multi-stage SVM Based Diagnosis Technique for Photovoltaic PV systems 1

引用

2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020

作者： Chouay, Yassine Ouassaid, Mohammed Mohammadia School of Engineers Mohammed V University Rabat Morocco

ISBN: (数字)9783030709174

ISBN: (纸本)9783030709167

This paper proposes an improved method for fault diagnosis on the DC side of PV plant. The proposed technique relies on three-stage classification algorithms to detect and distinguish between eight of the most common faults occurring in the PV generator. The first part of the detection algorithm uses the power loss analysis approach to identify the presence of potential fault from the comparison of the measured and expected generated power. The second part relies on a comparison between the extracted and reference PV characteristic to identify the fault type. The last part is based on Support Vector Machine (SVM) algorithm that interferes to classify faults with the same signature. The simulation results have proven that the proposed method is capable of identifying and distinguishing between eight of the most common DC side faults with a 100% accuracy. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Support vector machines

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Public-Private Partnerships (PPPs) in Energy: Co-citation Analysis Using Network and Cluster Visualization

Public-Private Partnerships (PPPs) in Energy: Co-citation An...

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4th International Conference on intelligent Human systems Integration (IHSI) - Integrating People and intelligent systems

作者： Pinilla-De la Cruz, Giovanna Andrea Rabetino, Rodrigo Kantola, Jussi Univ Vaasa VEBIC Wolffintie 34 Vaasa 65200 Finland Univ Vaasa Sch Management Wolffintie 34 Vaasa 65200 Finland Univ Turku Fac Technol Vesilinnantie 5 Turku 20500 Finland

ISBN: (纸本)9783030680176;9783030680169

The nascent field of Public-Private Partnerships (PPPs) in energy has been promoted in recent years as a collective response to the urgent need to shift towards clean and sustainable energy systems. However, the evolution of this domain is limited by the absence of a clear structure and strong connecting elements. By shedding some light on this topic, our research seeks to use intelligent data analytics and computational visualization in co-citation analysis to identify relevant research streams and collaborative networks. The findings reveal current clusters and research strands formed by scholars form based on their co-citation links. The study contributes to the growing body of knowledge in the field via a better understanding of PPPs in energy for its further development.

关键词： Public-Private Partnerships (PPPs) Energy Co-citation analysis VOSviewer Network and cluster visualization

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Qutrit-Based Genetic Algorithm for Hyperspectral Image Thresholding 1

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3rd International Symposium on Signal and Image Processing, ISSIP 2020

作者： Dutta, Tulika Dey, Sandip Bhattacharyya, Siddhartha Mukhopadhyay, Somnath Department of Computer Science & Engineering Assam University Silchar Assam India Department of Computer Science Sukanta Mahavidyalaya Jalpaiguri Dhupguri West Bengal India Rajnagar Mahavidyalaya Birbhum India

ISBN: (数字)9789813369665

ISBN: (纸本)9789813369658

Thresholding of hyperspectral images is a tedious task. The interactive information value between three bands is used to reduce the redundant bands in the pre-processing stage. A qutrit-inspired genetic algorithm is proposed for thresholding the minimized hyperspectral images with improved quantum genetic operators. In this paper, a quantum disaster operation is implemented to rescue the qutrit-inspired genetic algorithm from getting stuck into local optima. The proposed algorithm produces better results than classical genetic algorithm and qubit-inspired genetic algorithm in most of the cases. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Genetic algorithms

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Gaze Based Interaction for Object Classification in Reconnaissance Missions Using Highly Automated Platforms

Gaze Based Interaction for Object Classification in Reconnai...

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4th International Conference on intelligent Human systems Integration (IHSI) - Integrating People and intelligent systems

作者： Wasser, Joscha Bloch, Marten Bielecki, Konrad Vorst, Daria Lopez, Daniel Baltzer, Marcel Flemisch, Frank Fraunhofer FKIE Fraunhoferstr 20 D-53343 Wachtberg Germany Rhein Westfal TH Aachen Bergdriesch 27 D-52062 Aachen Germany

ISBN: (纸本)9783030680176;9783030680169

A gaze based interface was used as the basis for a interaction system supporting a remote operator of a ground reconnaissance robot when classifying objects previously identified by a software. Using the gaze point as a cursor, a pre-selection of the object in the sightline is made, allowing the user to effect the symbol via a haptic interface. An extension of the system enables the user to manually re-adjust the pre-selection if highlights are overlapping. The results from a first exploration were encouraging;the system was easily understood and used but does require further testing with scenarios that are more complex.

关键词： Gaze based interaction Human-systems Integration Remote operation Human systems exploration

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The Identification of Emotional Intelligence Skills in Higher Education Students with WebQDA 1

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5th World Conference on Qualitative Research, WCQR 2021

作者： Sá, Susana Morais, José Almeida, Fernando IESF CIDI Fafe Portugal ISPGAYA CEOS.PP Porto Portugal ISPGAYA INESC TEC Porto Portugal

ISBN: (数字)9783030701871

ISBN: (纸本)9783030701864

It is known that academic performance is not correlated with the way people understand and deal with their own emotions and other peoples’ emotions. Active methodologies allow students to be constantly involved in the learning process and thus allow Higher Education students to cognitively develop Emotional Intelligence (EI). This study is guided by the following research question: what are the learning strategies for developing EI skills in Higher Education students? This is a qualitative study and two focus groups were held with two institutions of Public and Private Higher Education, in which 10 students and 4 Professors participated. The content of the interviews was analyzed using the qualitative analysis software webQDA®. One concludes that the active methodologies, Problem Based Learning and Inverted Classroom, can contribute to develop EI skills in Higher Education students, as they enable mental skills such as reasoning and problem solving, from the perception and knowledge of emotion patterns. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Students

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Γ-n-Derivations on Semigroup Ideals on Prime Γ-Near-Rings 1

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1st International Conference on Mathematical Modeling and Computational Science, ICMMCS 2020

作者： Ahmed, Hiba A. Majeed, Abdulrahman H. Department of Mathematics College of Science University of Baghdad Baghdad Iraq

ISBN: (数字)9789813343894

ISBN: (纸本)9789813343887

The main aim of this paper is to define the Γ-n-derivation, study and investigate some results of ΓΓ-n-derivation on prime Γ-near-ring G and K are the non-zero ideal G-semigroup, which makes G a commutative ring. The concept of Γ-diverse authors has generalized derivations in various ways. The concept of Γ-n-derivation, permuting derivation, and rig Γ-n-derivation has already been introducing in Γ-near-rings. We investigated commutativity of zero symmetric right near-ring satisfying certain identities involving Γ-derivation. In this paper, we have extended the result in Γ-derivation and semigroup ideal on a zero symmetric left close-ring and show that G satisfies some Γ-n-derivations and ideal for semigroups, then G is a commutative ring © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Prime Semi-group ideal Γ-n-derivation Γ-near-ring

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Image Processing-Based Supervised Learning to Predict Robot Intention for Multimodal Interactions Between a Virtual Human and a Social Robot

Image Processing-Based Supervised Learning to Predict Robot ...

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4th International Conference on intelligent Human systems Integration (IHSI) - Integrating People and intelligent systems

作者： Rahman, S. M. Mizanoor Univ West Florida Hal Marcus Coll Sci & Engn Dept Intelligent Syst & Robot 11000 Univ Pkwy Pensacola FL 32514 USA

ISBN: (纸本)9783030680176;9783030680169

A humanoid robot and a virtual human with human-like appearance were developed, and various similar intelligence, functions, autonomy and interaction modalities were developed for them that were deemed necessary for their real-world collaboration. The virtual human was integrated with the robot through a common platform based on some control algorithms so that they were capable of cooperating with each other in a real-world task, which was the task of assisting each other in searching for a hidden object in a homely environment. One important activity for such dynamic collaboration was the virtual human's ability to predict the robot's intention so that the virtual human could plan to collaborate with the robot, and vice versa. To address this problem, three representative robot behaviors such as hand shaking, hand pointing and hand waving were analyzed using supervised learning-based algorithms associated with image processing to help the virtual human learn robot behaviors so that the learned behaviors could help the virtual human predict the robot's intention during their intended social interactions. In the training phase, the robot showed each of the three behaviors separately for 500 times. Images of each type of behaviors were taken separately, and the properties of the images were extracted following the image processing method. Then, each robot behavior extracted through image processing was labeled properly. Then, the supervised learning algorithm was developed that classified three different robot behaviors into three different classes. In the testing phase, the robot showed each of its three behaviors to the virtual human randomly for 100 times, the images were taken in real-time, and sent to the image processing-based machine learning algorithm. It was monitored whether the virtual human was able to recognize the robot behavior properly. The results showed that the virtual human was able to recognize robot behaviors and thus predict the robot's intentio

关键词： Social robot Virtual human Supervised learning Intention prediction Image processing

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