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13th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2024

作者： Wang, Yue Zhang, Yiqian Jinan Vocational College Division of Public Teaching Jinan China Jinan Vocational College Department of Computer Science Jinan China

ISBN: (纸本)9798350305463

It is very difficult to analyze and mine massive and high-dimensional data. Although the current hardware conditions have greatly improved, they still cannot meet the needs of large-scale, high-dimensional data. In medical research, scientific experiments, and biological gene sequencing, a combination of analysis of variance and principal component analysis was used to study the above issues. On this basis, this article started from two main data analysis methods and studied the relevant theories and algorithms of binary analysis of variance and principal component analysis, in order to achieve the analysis of sample data. The experiment proved that the data analysis based on the system in this article can combine the factor load matrix of the main factor variables to evaluate the contribution of each factor in the investment portfolio to the overall risk. Finally, the optimal stock portfolio was 601989, 601601, 600028, 600104, 601857, and 601988. © 2024 IEEE.

关键词： Principal component analysis

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Investment Planning in the Region 16

Investment Planning in the Region

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16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Solomatin, Alexander Federal Research Center 'Computer Science and Control' of Ras Department of Mathematical Methods of Regional Programming Moscow Russia

ISBN: (纸本)9798350337907

The principle of multiplicity is introduced for the components of the investment planning process. Some algorithms are given that ensure the process of investment planning at the regional level: the formation of integrated assessments of investment projects, automated generation of projects, multicriteria evaluation and selection of projects, taking into account the mutual influence of projects, optimizing the composition of projects, and taking into account financing restrictions. The features of the program system intended for the formation of plans for the territorial and sectoral development of the region are considered. © 2023 IEEE.

关键词： Regional planning

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A Large-Scale Group Decision-Making Approach Employing Large Language Models to Detect Assertive Groups 23

A Large-Scale Group Decision-Making Approach Employing Large...

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23rd International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2024

作者： Carbó-García, Santiago Trillo, José Ramón Tapia, Juan Miguel Pérez, Ignacio Javier Herrera-Viedma, Enrique Cabrerizo, Francisco Javier Andalusian Research Institute in Data Science and Computational Intelligence Department of Computer Science and Artificial Intelligence University of Granada Granada Spain Department of Quantitative Methods for Business and Economics University of Granada Granada Spain

ISBN: (纸本)9781643685380

Large-Scale Group Decision-Making, propelled by the advent of Large Language Models and the imperative for assertiveness in decision-making processes, emerges as a pivotal area of research. This paper navigates through the landscape of Large-Scale Group Decision-Making, delineating its significance across diverse domains, including social networks and e-democracy. Amidst its nascent status, Large-Scale Group Decision-Making encounters formidable challenges, particularly in information management and fostering consensus among a multitude of experts. This paper aims to illuminate the goals and hurdles facing Large-Scale Group Decision-Making approaches through an exhaustive review of contemporary literature and methodologies. By confronting these challenges head-on, Large-Scale Group Decision-Making holds the potential to redefine decision-making paradigms, bolster assertiveness, and elevate collective problem-solving capabilities in an increasingly interconnected world. © 2024 IOS Press. All rights reserved.

关键词： Information management

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The Basic Principles of the Development of the Elearning Program in the Communities of the Schoolstudents

The Basic Principles of the Development of the Elearning Pro...

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Technology Enhanced Learning in Higher Education (TELE), International Conference on

作者： Tatyana Klevetova Svetlana Komissarova Anastasiya Maksimova The Department of Computer Science and Methods of Teaching Computer Science) Volgograd State Socio-Pedagogical University Volgograd Russia

The article deals with the issues of the implementation of the e-learning programs in the communities of the schoolstudents. There is specified the concept of “online community”, there is considered the classification of the online communities. The authors describe the theoretical approaches to the development of the online course of computer Studies in the context of the introduction of the Federal State Educational Standards and the digital transformation of education at the example of the online course “Training of schoolstudents to the Basic State Examination of computer Studies”, implemented in Volgograd State Socio-Pedagogical University.

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The Experience of Training the Students of the Pedagogical University to the Implementation of the Blended Learning at School

The Experience of Training the Students of the Pedagogical U...

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Technology Enhanced Learning in Higher Education (TELE), International Conference on

作者： Nikolay Bozhko Svetlana Komissarova Sergey Kasyanov The Department of Computer Science and Methods of Teaching Computer Science) Volgograd State Socio-Pedagogical University Volgograd Russia

The article deals with the approaches of the definition of the blended learning. There are presented the components, defining the future teachers training to the implementation of the blended learning of computer science. The authors describe the experience of the training of the students in the pedagogical university to the implementation of the blended learning at school.

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The Online Course “The Organization of the Students Project Activities of computer Studies in the Context of the Educational Technopark”: Ideas, Approaches and Development

The Online Course “The Organization of the Students Project...

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Technology Enhanced Learning in Higher Education (TELE), International Conference on

作者： Tatyana Klevetova Svetlana Komissarova Andrey Mashkov The Department of Computer Science and Methods of Teaching Computer Science) Volgograd State Socio-Pedagogical University Volgograd Russia

The article deals with the issues of the organization of the project activities of computer Studies on the basis of the educational technopark. The authors describe the experience of the development of the online course “The organization of the students project activities of computer Studies in the context of the educational technopark” with the technical assistance of the technopark in Volgograd State Socio-Pedagogical University.

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A MATHEMATICAL MODEL ILLUSTRATING THE INHIBITORY EFFECT OF THE MICRO RNA ON THE PROTEIN PRODUCTION

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UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2023年第4期85卷 101-106页

作者： Olteanu, Mircea Ştefan, Radu Department of Mathematical Methods and Models Faculty of Applied Sciences University "Politehnica" of Bucharest Romania Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science University "Politehnica" of Bucharest Romania

The present paper introduces a mathematical model for the cross-talking between microRNA and Protein. Studying the qualitative properties of the proposed model, we infer that the microRNA is an inhibitor for the Prote... 详细信息

关键词： Proteins

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Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias 41

Learning Shadow Variable Representation for Treatment Effect...

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41st International Conference on Machine Learning, ICML 2024

作者： Li, Baohong Li, Haoxuan Xiong, Ruoxuan Wu, Anpeng Wu, Fei Kuang, Kun College of Computer Science and Technology Zhejiang University Hangzhou China Center for Data Science Peking University Beijing China Department of Quantitative Theory & Methods Emory University Atlanta United States

One of the significant challenges in treatment effect estimation is collider bias, a specific form of sample selection bias induced by the common causes of both the treatment and outcome. Identifying treatment effects under collider bias requires well-defined shadow variables in observational data, which are assumed to be related to the outcome and independent of the sample selection mechanism, conditional on the other observed variables. However, finding a valid shadow variable is not an easy task in real-world scenarios and requires domain-specific knowledge from experts. Therefore, in this paper, we propose a novel method that can automatically learn shadow-variable representations from observational data without prior knowledge. To ensure the learned representations satisfy the assumptions of the shadow variable, we introduce a tester to perform hypothesis testing in the representation learning process. We iteratively generate representations and test whether they satisfy the shadow-variable assumptions until they pass the test. With the help of the learned shadow-variable representations, we propose a novel treatment effect estimator to address collider bias. Experiments show that the proposed methods outperform existing treatment effect estimation methods under collider bias and prove their potential application value. Copyright 2024 by the author(s)

关键词： Contrastive Learning

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ControlVideo: conditional control for one-shot text-driven video editing and beyond

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science China(Information sciences) 2025年第3期68卷 150-162页

作者： Min ZHAO Rongzhen WANG Fan BAO Chongxuan LI Jun ZHU Department of Computer Science and Technology Institute for AI Tsinghua-Bosch Joint ML CenterTsinghua Laboratory of Brain and Intelligence Lab Tsinghua University ShengShu Technology Gaoling School of Artificial Intelligence Renmin University of China Beijing Key Laboratory of Big Data Management and Analysis Methods Pazhou Laboratory (Huangpu)

This paper presents ControlVideo for text-driven video editing — generating a video that aligns with a given text while preserving the structure of the source video. Building on a pre-trained text-to-image diffusion model, ControlVideo enhances the fidelity and temporal consistency by incorporating additional conditions(such as edge maps), and fine-tuning the key-frame and temporal attention on the source video-text pair via an in-depth exploration of the design space. Extensive experimental results demonstrate that ControlVideo outperforms various competitive baselines by delivering videos that exhibit high fidelity w.r.t. the source content, and temporal consistency, all while aligning with the text. By incorporating low-rank adaptation layers into the model before training, ControlVideo is further empowered to generate videos that align seamlessly with reference images. More importantly, ControlVideo can be readily extended to the more challenging task of long video editing(e.g., with hundreds of frames), where maintaining long-range temporal consistency is crucial. To achieve this, we propose to construct a fused ControlVideo by applying basic ControlVideo to overlapping short video segments and key frame videos and then merging them by pre-defined weight functions. Empirical results validate its capability to create videos across 140 frames, which is approximately 5.83 to 17.5 times more than what previous studies achieved. The code is available at https://***/thu-ml/controlvideo.

关键词： diffusion models controllable generation text-driven editing video editing long video editing

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Hyper Elliptic Curve Based Certificateless Signcryption Scheme for Secure IIoT Communications

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computers, Materials & Continua 2022年第5期71卷 2515-2532页

作者： Usman Ali Mohd Yamani Idna Idris Jaroslav Frnda Mohamad Nizam Bin Ayub Roobaea Alroobaea Fahad Almansour Nura Modi Shagari Insaf Ullah Ihsan Ali Department of Computer System and Technology Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala Lumpur50603Malaysia Department of Computer Science University of SwatSaidu Sharif19130Pakistan Center for Research in Mobile Cloud Computing University of MalayaKuala Lumpur50603Malaysia Department of Quantitative Methods and Economic Informatics Faculty of Operation and Economics of Transport and CommunicationsUniversity of Zilina01026 ZilinaSlovakia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Sciences and Arts in RassQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science Hamdard Institute of Engineering and TechnologyIslamabad44000Pakistan

Industrial internet of things (IIoT) is the usage of internet of things(IoT) devices and applications for the purpose of sensing, processing andcommunicating real-time events in the industrial system to reduce the unnecessary operational cost and enhance manufacturing and other industrial-relatedprocesses to attain more profits. However, such IoT based smart industriesneed internet connectivity and interoperability which makes them susceptibleto numerous cyber-attacks due to the scarcity of computational resourcesof IoT devices and communication over insecure wireless channels. Therefore, this necessitates the design of an efficient security mechanism for IIoTenvironment. In this paper, we propose a hyperelliptic curve cryptography(HECC) based IIoT Certificateless Signcryption (IIoT-CS) scheme, with theaim of improving security while lowering computational and communicationoverhead in IIoT environment. HECC with 80-bit smaller key and parameterssizes offers similar security as elliptic curve cryptography (ECC) with 160-bitlong key and parameters sizes. We assessed the IIoT-CS scheme security byapplying formal and informal security evaluation techniques. We used Realor Random (RoR) model and the widely used automated validation of internet security protocols and applications (AVISPA) simulation tool for formalsecurity analysis and proved that the IIoT-CS scheme provides resistance tovarious attacks. Our proposed IIoT-CS scheme is relatively less expensivecompared to the current state-of-the-art in terms of computational cost andcommunication overhead. Furthermore, the IIoT-CS scheme is 31.25% and 51.31% more efficient in computational cost and communication overhead,respectively, compared to the most recent protocol.

关键词： IoT security authentication protocols hyperelliptic curve cryptography certificateless public key cryptography

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