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14 Papers

Weakly Supervised Short Text Classification for Characterising Video Segments

Topic: Natural Language Processing

Authors: Hao Zhang , Abrar Mohammed and Vania Dimitrova

Affiliation: School of Computing, University of Leeds, U.K.

Digital Object Identifier: 10.5220/0012618600003693

Proceedings of CSEDU 2024, ISBN: 978-989-758-697-2

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In this age of life-wide learning, video-based learning has increasingly become a crucial method of education. However, the challenge lies in watching numerous videos and connecting key points from these videos with relevant study domains. This requires video characterization. Existing research on video characterization focuses on manual or automatic methods. These methods either require substantial human resources (experts to identify domain related videos and domain related areas in the videos) or rely on learner input (by relating video parts to their learning), often overlooking the assessment of their effectiveness in aiding learning. Manual methods are subjective, prone to errors and time consuming. Automatic supervised methods require training data which in many cases is unavailable. In this paper we propose a weakly supervised method that utilizes concepts from an ontology to guide models in thematically classifying and characterising video segments. Our research is concentrated in the health domain, conducting experiments with several models, including the large language model GPT-4. The results indicate that CorEx significantly outperforms other models, while GLDA and Guided BERTopic show limitations in this task. Although GPT-4 demonstrates consistent performance, it still falls behind CorEx. This study offers an innovative perspective in video-based learning, especially in automating the detection of learning themes in video content.

Ground Resistance Measurement Method Based on High-Frequency Pulses

Authors: Yuhe Zhang 1 and Hao Zhang 2

Affiliations: 1 Chengdu University of Technology, Chengdu, China , 2 Chengdu Onise Electronic Technology, Co., Ltd, Chengdu, China

Digital Object Identifier: 10.5220/0012280300003807

Proceedings of ANIT 2023, ISBN: 978-989-758-677-4

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In recent years, many substations have expanded accidents due to lightning strikes, most of which are related to unqualified grounding resistance of the ground grid, so vigorously strengthening the regular monitoring of the ground resistance of the ground grid has become an important task. At present, the common use of high and low voltage and low frequency AC, high voltage low and high frequency AC, high and low voltage variable frequency AC, high and low voltage DC, etc. flows through the measured body, testing the ground resistance, impedance, the AC or DC used, the frequency is single, and the rising and falling edges are slow, and the ground impedance is inductive impedance, capacitive impedance or pure resistance impedance can not be well reflected. In order to solve the above problems, a grounding resistance test method based on low-voltage high-frequency pulse voltage is proposed.

A Novel Dual-Role Two Pursuers and Two Evaders Simple Motion Game

Authors: Pengfei Zhang , Peifeng Chen , Hao Zhang , Yiqun Zhang , Feng Song and Hongwei Lan

Affiliation: Beijing Institute of Electronic System Engineering, Beijing, 100854, China

Digital Object Identifier: 10.5220/0012016100003612

Proceedings of ISAIC 2022, ISBN: 978-989-758-622-4

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Multiple players pursuit evasion differential games are significant for the development of unmanned aircraft. In this study, a two pursuers and two evaders game is to be investigated, of which the payoff function is the instant when both the evaders are first time captured by the pursuers. The pursuers wish to minimize the capture instant while the evaders have the opposite purpose. In this game, the positional coincidence of any two players implies that the two players are destroyed. Different from previous literature, the players are considered to have two roles, that is the evader has the role of escaping from the pursuer as well as the role of pursuing the pursuer. To solve the problem, we first present the state feedback strategies of the pursuers. Secondly, the payoff function and the best strategies of the evaders are deduced under the condition that the evader does not intercept the pursuers. Thirdly, by contradiction, it is proved that the capture instant will be decreased when the evaders try to intercept one of the pursuers. As a result, the underlying strategies are equilibrium strategies.

Decision Model of Double Channel Recycling Closed Loop Supply Chain Considering Service Level

Authors: Hongsheng Sun , Hao Zhang and Baoyu Li

Affiliation: School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China

Digital Object Identifier: 10.5220/0012042900003620

Proceedings of ICEMME 2022, ISBN: 978-989-758-636-1

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With the development of economy and the iteration and upgrading of science and technology, the upgrading rate of electronic products has been gradually accelerated. Improving the recycling volume of waste electronic products and forming a standardized recycling system are the key issues facing the current recycling link. Under this background, based on Stackelberg game model, the author establishes a closed loop supply chain model of dual channel recycling of waste electronic products, and takes profit maximization as the decision objective to conduct a numerical analysis. The paper proves that under certain conditions, consumers’ online channel preference will promote the profits and recycling capacity of the supply chain system, and improve the service level of recycling participants, which has a positive effect on the system profits.

Energy Optimal Control of Collision Avoidance from Two Inertial Objects

Authors: Pengfei Zhang , Hao Zhang , Feng Song and Yiqun Zhang

Affiliation: Beijing Institute of Electronic System Engineering, Beijing, 100854, China

Digital Object Identifier: 10.5220/0012016200003612

Proceedings of ISAIC 2022, ISBN: 978-989-758-622-4

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Energy optimal control of collision avoidance is significant in aerospace and robotics. In this paper, we are to investigate the energy optimal control problem of avoiding collision from two inertial objects, in a differential game manner. In particular, we develop the optimal control structure by applying the already published payoff augmentation method, and the result shows that the control of the evader is zero in some time periods. For verification, a simulation case is constructed and the results are consistent with the theoretical analysis.

Intelligent Predicting Method of Water Bloom based RBFNN and LSSVM

Topics: Soft Computing; Neural Networks; AI and Creativity; Simulation

Authors: Liu Zaiwen , Wu Qiaowei and Lv Siying

Affiliation: Beijing Technology and Business University, China

Digital Object Identifier: 10.5220/0004334705920597

Proceedings of ICAART 2013, ISBN: 978-989-8565-39-6

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Water bloom is one phenomena of eutrophication, and water bloom prediction is always a challenge. A short-term intelligent predicting method based on RBF neural network (RBFNN), and medium-term intelligent predicting method based on least squares support vector machine (LSSVM) for water bloom are proposed in this paper. Including research on the monitoring learning algorithms to the center, width and weight of basis function of RBF network, the width of RBF and fitting and generalization abilities of network, and the function and influence, which the number of RBF hidden level nodes brings to the performance of network, as well as error-corrected algorithm based on gradient descent are analyzed. Least squares support machine, which has long prediction period and high degree of prediction accuracy, needs a small amount of sample can be used to predict the medium-term change discipline of Chl-a (Chlorophyll-a) well. The results of simulation and application show that: RBF neural network can be used to forecast the change of Chl-a in short term well, and LSSVM improves the algorithm of support vector machine (SVM), and it has long-term prediction period, strong generalization ability and high prediction accuracy; and this model provides an efficient new way for medium-term water bloom prediction.

A COLLABORATIVE OPTIMIZATION MODEL FOR STRATEGIC PERFORMANCE

Authors: Zhang Hao , Cui Li , Zhou Yong-sheng and He Ming-ke

Affiliation: Beijing Technology and Business University, China

Digital Object Identifier: 10.5220/0003573306450649

Proceedings of MMLM 2011/ICEIS, ISBN: 978-989-8425-56-0

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The logical framework formed by enterprise strategic performance which designed from the dimensions of structure, capability and the culture is what we used to refine the key points of strategic performance. To construct a collaborative optimization model for strategic performance, it should be based on the overall optimization framework of collaborative optimization technology with the chaotic optimization method. The objective of system-level optimization is strategic performance optimization. The optimization goal of the subsystem-level is to make the difference between the designed subsystems and the subsystems provided by system-level optimization as little as possible. The numerical simulations show that the model is scientific and feasible.

A COMPREHENSIVE EVALUATION MODEL AND INTELLIGENT PREDICTION METHOD OF WATER BLOOM

Topics: Industrial, Financial and Medical Applications; Computational Neuroscience; Higher Level Artificial Neural Network Based Intelligent Systems; Neural Network Software and Applications; Support Vector Machines

Authors: Zaiwen Liu , Xiaoyi Wang and Wei Wei

Affiliation: College of Computer and Information Engineering and Beijing Technology and Business University, China

Digital Object Identifier: 10.5220/0003682703910394

Proceedings of NCTA 2011/IJCCI, ISBN: 978-989-8425-84-3

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An integrated evaluative function and intelligent prediction model for water bloom in lakes based on least squares support vector machine( LSSVM) is proposed in this paper, in which main influence factor of outbreak of water bloom is analyzed by rough set theory. First the study of the function involves three aspects: algal average activation energy of photosynthesis, integrated nutritional status index, and transparency, which are considered from the microcosmic level., the macroscopic level and the intuitionistic level respectively. The values of the function are classified properly. At the meantime, the weight value of each evaluative parameter is determined objectively, via the theory of multiple criteria decision making,. By analyzing and calculating the experimental data, the obtained values of the function and the classification results can be verified using the data of the samples. Good agreement is obtained between the results and the fact. The results of simulation and application show that: LSSVM improves the algorithm of support vector machine (SVM).; it has long-term prediction period, strong generalization ability， high prediction accuracy; and needs a small amount of sample and this model provides an efficient new way for medium-term water bloom prediction.
Collapse Button Related Ontology Subjects/Areas/Topics (26)
Artificial Intelligence

Fuzzy Systems

Neurotechnology, Electronics and Informatics

Artificial Intelligence and Decision Support Systems

Health Engineering and Technology Applications

Pattern Recognition

Biomedical Engineering

Higher Level Artificial Neural Network Based Intelligent Systems

Physiological Computing Systems

Biomedical Signal Processing

Human-Computer Interaction

Sensor Networks

Computational Intelligence

Industrial, Financial and Medical Applications

Signal Processing

Computational Neuroscience

Methodologies and Methods

Soft Computing

Computer-Supported Education

Neural Network Software and Applications

Support Vector Machines and Applications

Domain Applications and Case Studies

Neural Networks

Theory and Methods
Enterprise Information Systems

Neurocomputing

AN EMPIRICAL ANALYSIS OF THE RELATIONSHIP BETWEEN SOCIAL CONSUMPTION DEMAND FACTORS AND THE CULTURAL INDUSTRY IN CHINA

Authors: Li Cui , Haoxiong Yang and Hao Zhang

Affiliation: School of Business and Beijing Technology and Business University, China

Digital Object Identifier: 10.5220/0003597406060610

Proceedings of PMSS 2011/ICEIS, ISBN: 978-989-8425-56-0

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The relationship between social consumption demand factors and the development of Chinese culture industry is analyzed based on the theory of industrial structure. The result indicates that average disposable income of urban residents and Engel coefficient of rural households are related to culture industry very significantly and that the contribution of culture industry to GDP needs to be improved. Three countermeasures are proposed to promote the development of culture industry from two angles, including improving average disposable income of urban residents to increase their consumption ability, reducing Engel coefficient of rural households to improve the quality of life and promoting the construction of public cultural service system.

INVENTORY MANAGEMENT POLICIES OF GOLD JEWELRY RETAILERS

Authors: Jingmin Zhang , Yongsheng Zhou , Zhe Zhou and Huanjun Yang

Affiliation: Beijing Technology and Business University, China

Digital Object Identifier: 10.5220/0003589005170522

Proceedings of DMLSC 2011/ICEIS, ISBN: 978-989-8425-55-3

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With the gradually increasing pressure of market competition and the diversification of consumers’ choices, more and more gold jewelry retailers begin to seek the ways and means to reduce costs and improve profits, inventory management also is given more meaning and significance. Starting from the logistics characteristics of the gold jewelry, This article analyzes the prevalent inventory problems of gold jewelry retailers, such as low inventory turns, inventory structural imbalance and so on, and main reasons these problems emerge. On this basis, from supplier management, customer demand forecasting, replenishment strategy and the goods on display and other aspects respectively, putting forward the inventory management strategy of gold jewelry retailers.

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