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Toward a Human-in-the-Loop Approach to Create Training Datasets for RDF Lexicalisation 1

引用

Intelligent systems Conference (IntelliSys)

作者： Barbato, Jessica Amianto Cremaschi, Marco Rula, Anisa Maurino, Andrea Univ Milano Bicocca Milan Italy Univ Brescia Brescia Italy

ISBN: (数字)9783031477218

ISBN: (纸本)9783031477201;9783031477218

Datasets that include alignments between natural language and Knowledge Graphs are fundamental to a wide variety of Natural Language Processing and Generation tasks. Current state-of-the-art aligned datasets, though, are significantly impacted by reduced size and scarcity of covered domains, and their quality is difficult to evaluate. To compensate for these issues, we introduce SEALIon, a tool for extracting RDF triples from natural language textual corpora based on a humanin-the-loop approach. We present our first results of SEALIon's approach, paving the way for further researches in the field of human-in-the-loop triple extraction.

关键词： Natural language processing Natural language generation Human-in-the-loop Relation extraction

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12th World Conference on Information systems and Technologies (WorldCIST)

作者： Rozinek, Ondrej Borkovcova, Monika Mares, Jan Univ Pardubice Dept Proc Control Studentska 95 Pardubice 53210 Czech Republic Univ Pardubice Dept Informat Technol Studentska 95 Pardubice 53210 Czech Republic Univ Chem & Technol Prague Dept Math Informat & Cybernet Tech 5 Prague 16628 Czech Republic

ISBN: (纸本)9783031603273;9783031603280

Record linkage is the process of matching records from multiple data sources that refer to the same entities. When applied to a single data source, this process is known as deduplication. With the increasing size of data source, recently referred to as big data, the complexity of the matching process becomes one of the major challenges for record linkage and deduplication. In recent decades, several blocking, indexing and filtering techniques have been developed. Their purpose is to reduce the number of record pairs to be compared by removing obvious non-matching pairs in the deduplication process, while maintaining high quality of matching. Currently developed algorithms and traditional techniques are not efficient, using methods that still lose significant proportion of true matches when removing comparison pairs. This paper proposes more efficient algorithms for removing non-matching pairs, with an explicitly proven mathematical lower bound on recently used state-of-the-art approximate string matching method - Fuzzy Jaccard Similarity. The algorithm is also much more efficient in classification using Density-based spatial clustering of applications with noise (DBSCAN) in log-linear time complexity O(|epsilon| log(|epsilon|)).

关键词： record deduplication Q-gram filter record linkage entity resolution similarity space bipartite matching similarity join

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Reverse Logistic Integration for Concurrent Configuration of Product and Supply Chain: Financial Feasibility Study 7th

Reverse Logistic Integration for Concurrent Configuration of...

引用

7th International Conference on Logistics Operations Management (GOL)

作者： Barane, Mohamed Ouzizi, Latifa Douimi, Mohammed Ecole Natl Super Arts & Metiers ENSAM Meknes Morocco

ISBN: (纸本)9783031686276;9783031686283

Recently the integration of the reverse logistic operations is considered as an urgent necessity to deal with raw material scarcity and logistic chain network disruption. Thus, the implementation of this concept in the topic of the concurrent configuration of the product and supply chain may reduce considerably the overall cost of the logistic chain. In this paper we present a new mono-objective mathematical model to handle the problem, taken into account activities related to possible partner of the supply chain partner. The model handles a set of new alternatives, and look for the optimal one that optimize the global cost considering two specific cases: situation before and after the application of the reverse logistic operations. The model, then, is validated by a case study of our choice using a mixed integer linear programming (MILP). The results illustrate the performance of the suggested approach and present a standard model to follow. The numerical resolution facilitates interpretation within a reasonable computational time.

关键词： Product configuration Close loop supply chain Components' emanufacturing MILP

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Comparative Efficiency Study of Protective Relays Schemes in Wind Energy Conversion systems 19th

Comparative Efficiency Study of Protective Relays Schemes in...

引用

19th International Conference on Dependability of Computer systems (DepCoS-RELCOMEX)

作者： Sobolewski, Robert Adam Bialystok Tech Univ Fac Elect Engn Wiejska 45D St PL-15351 Bialystok Poland

ISBN: (纸本)9783031618567;9783031618574

Since the performance of wind energy conversion systems is unsatisfactory, one of the main concerns about systems planning and operation should be better reliability of the components and their operation. Among others, the attention should affect protection systems, and relays incorporated to. Relays have two alternative ways in which they can be unreliable, i.e., may fail to operate when they are expected to, or may operate when it is undesired. This leads to a two-pronged definition of protective relay, i.e., it must be dependable and secure. One of a few options of relays reliability enhancement can be use of logical redundancy, i.e. series, parallel, 2-out-of-3. The advisability of using a given type of redundancy (instead of single relay), can be evaluated relying on efficiency of relays operation. Both the structural reliability and the operation reliability must be taken into consideration. The efficiency of different types of redundancy can be measured based on economical criterion and incorporate the costs of incorrect operation, i.e., failure to trip caused by undetected fault, undesired trip, and repair of faulted relay(s). The efficiency of different protective relays scheme can be investigated relying on semi-Markov models. In the paper, four models are investigated in detail. As an example, the comparative efficiency study of these schemes are presented.

关键词： Protective relay Efficiency Wind energy Reliability Semi-Markov model

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Study on Grade Discrimination Method of Traffic Accident Risk Factors Considering Road Type

Study on Grade Discrimination Method of Traffic Accident Ris...

引用

Intelligent systems Conference (IntelliSys)

作者： Wang Jie Zhan Zhenfei Qian Liuzhu Chongqing Jiaotong Univ Chongqing Peoples R China

ISBN: (纸本)9783031477140;9783031477157

In order to further explore the occurrence mechanism of road traffic accidents;this paper takes into account the differences in road types. Based on the open source traffic accident data set of the British Ministry of Transport, the traffic accident risk factors and their importance of the four road types with the highest traffic accident rates are studied. Firstly, based on data visualization, the distribution of data is preliminarily explored from the spatial and temporal dimensions. Secondly, aiming at the shortcomings of the integrated algorithm with more hyperparameters, which lacks accurate and efficient parameter adjustment methods, a Bayesian optimization based random forest algorithm (BO-RF) implemented by the Optuna framework is proposed to construct the risk factor importance level screening model of four road types. In addition, a control experiment with the random forest algorithm based on random search optimization (RS-RF) was carried out. The results show that the BO-RF algorithm model based on the Optuna hyperparameter optimization framework has shorter tuning time and higher accuracy. Finally, based on the visualization results of road traffic accident risk factor level obtained by the model constructed by BO-RF algorithm, a scheme suitable for reducing accidents under this road condition is proposed, which provides a reference for preventing road traffic accidents and optimizing relevant safety management regulations.

关键词： Data mining Causation analysis Random forest Bayesian optimization Optuna framework Road risk differences

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Forecasting Market Clearing Prices in Electricity Markets with Time Series Based Machine Learning Models

Forecasting Market Clearing Prices in Electricity Markets wi...

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Yagmur, Mehmet Bora Turhan, Kagan Kaya, Tolga Istanbul Tech Univ Dept Management Engn TR-34367 Istanbul Turkiye

ISBN: (纸本)9783031671913;9783031671920

The Turkish Electricity Market has experienced various procedural transformations over time. These changes have led to the establishment of a system in the electricity market that allows stakeholders to secure hourly energy through next-day sales and purchases. This system is known as the pre-day market and the price set within this framework is referred to as the market clearing price. This study was designed to predict the electricity price for the next 24 time units within the next 24 h in Turkey. Predictions of the market clearing price were conducted using numerous machine learning models. Time series data of clearing prices in Turkey were used in the analysis. Exogenous variables such as production amount and holiday dummies were also incorporated. The data period was from January 2021 to December 2023. The study utilized two lagged market clearing price features with 19 independent lagged and unlagged additional variables. Various machine learning models were tested for their efficacy in forecasting the market clearing price, to identify the most effective one. To benefit from the various advantages of different models, the three models with the best performance, lightGBM, OMP, and STLF were blended to obtain a new model.

关键词： Electricity markets market clearing price electricity price forecasting machine learning lightGBM

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Modeling and Simulation of a Hybrid Electrical Grid for Reliability and Power Quality Enchantment 2nd

Modeling and Simulation of a Hybrid Electrical Grid for Reli...

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2nd International Conference on Forthcoming networks and Sustainability in the AIoT Era (FoNeS-AIoT)

作者： AL-Mashhadani, Yahya Mohammed Jasim Ucan, Osman Nuri Altinbas Univ Elect & Comp Engn Istanbul Turkiye

ISBN: (纸本)9783031628801;9783031628818

In this paper, we focus on using a hybrid system of grid-connected photovoltaic (PV) panels to reduce the use of fossil fuels in producing electrical power to preserve the environment and compensate for reactive power in the solar energy system by installing a fixed capacitor bank at load for improving the power quality. The system that is suggested is simulated and evaluated Using the software program MATLAB Simulink, the suggested structure has been examined in different operational scenarios, such as variable photovoltaic system irradiance and variable reactive consumption power. Itemized simulation about the use of the algorithm Perturb and Observe (P&O) to reach maximum power point tracking in the PV system and effect install fixed capacitor bank on the hybrid grid.

关键词： Fixed capacitor bank Renewable Energy Sources reactive power compensation Maximum Power Point Tracing

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An Insightful Analysis of Preprocessing Methods Used in EEG Signals for Computer-Assisted Cognitive Domain 1

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4th Congress on Intelligent systems (CIS)

作者： Kaur, Gagandeep Aggarwal, Himanshu Goel, Neelam Punjabi Univ Dept Comp Sci & Engn Patiala Punjab India Panjab Univ Dept Informat Technol Chandigarh India

ISBN: (数字)9789819990436

ISBN: (纸本)9789819990429;9789819990436

The most popular non-intrusive approach for analyzing electrical brain activity is electroencephalography (EEG), which is employed comprehensively in mental neuroscience and medical diagnostics. EEG readings are frequently contaminated with various types of noise and artifacts, which can conceal the relevant brain activity. It has been proven that preprocessing strategies are necessary to improve data quality, reduce noise or artifacts, and prepare the data for proper analysis and interpretation. Therefore, substantial research over the last 20 years has concentrated on discovering methods for dealing with these artifacts during the preprocessing step. Nevertheless, it remains a focus of present research because no particular recognized artifact removal method is comprehensive or ubiquitous. The paper describes a qualitative study of current state-of-the-art of substantial preprocessing pipeline stages for EEG signal including filtering, sampling rate conversion, artifacts removal, channel elimination, and re-referencing. Subsequently, the finite impulse response (FIR) filter with rectangular, hamming, and Blackman windows are compared based on their average side lobe peak in frequency domain and black window outperformed among the all. It is considerable that this study provides the researchers with a contemporary perspective on preprocessing pipeline of EEG signals and acts as a basic guideline in general.

关键词： Electroencephalography Preprocessing Finite impulse response filter ICA Artifacts

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Optimizing Training for Human-Robot Collaboration in Learning Factories: An Employee-Centered Perspective 14th

Optimizing Training for Human-Robot Collaboration in Learnin...

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14th International Conference on Learning Factories (CLF)

作者： Gil, Raquel Salcedo Ulfert, Anna-Sophie Rispens, Sonja Le Blanc, Pascale Eindhoven Univ Technol NL-5600 MB Eindhoven Netherlands

ISBN: (纸本)9783031654107;9783031654114

With the introduction of robots in manufacturing, the imperative of continuous workplace learning emerges as a cornerstone for acquiring new knowledge and skills. While technical competence development plays a crucial role in understanding how the robot works and mastering skills like (re)programming the robot, this is not enough to create effective Human-Robot Collaboration (HRC). Organizational change frameworks emphasize the importance of preparing employees for change by increasing their readiness. However, current training practices frequently overlook this step. By combining different literature streams, we develop three propositions to guide the design of employee-centered HRC training. We propose that, in addition to training technical competencies (e.g., knowledge about robots), incorporating employee-centered components (e.g., fostering employee readiness) and promoting HRC skills (e.g., coordination) are essential for effective HRC training. Further, the implementation of robots in the workplace is a process in which training should be provided to employees throughout the different phases. This challenges current practices in which training is seen as a one-time event. The present paper aims to advance our understanding of HRC training and encourages the integration of technical and employee-centered elements when designing training for HRC. This will help design successful training initiatives and, thereby, support employee adaptation and organizational functioning when introducing robots in the workplace.

关键词： Human-Robot Collaboration Employee-centered Training Design

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Gamified Chatbot Management Process: A Way to Build Gamified Chatbots

Gamified Chatbot Management Process: A Way to Build Gamified...

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Intelligent systems Conference

作者： Lacerda, Arthur Andrade Freitas, Sergio Antonio Ramos, Cristiane Soares Univ Brasilia BR-70910900 Brasilia DF Brazil

ISBN: (纸本)9783031664274;9783031664281

This paper proposes the incorporation of gamification with machine learning for the development of chatbots. The Gamified Chatbot Development Process (GCMP), is a process for the development of gamified chatbots, it comprises eight activities, arranged into four steps, emphasizing gamification implementation. This process includes gamification planning, gamification management, updating chatbot content, chatbot behavior implementation, chatbot behavior validation, chatbot behavior analysis, chatbot delivery, and chatbot usage analysis. GCMP provides a clear and structured guide, allowing flexibility to accommodate each project's specific requirements. This article describes the methodology employed, which includes the application of an experiment with software engineering students. The experiment is conducted by providing documents, holding weekly meetings, and collecting pertinent data. The applicability of GCMP in gamified chatbot projects is examined, and a new version of the process is proposed to resolve the gaps found, and conclusions are drawn based on experiments.

关键词： Machine learning Chatbot Gamification GCMP Development process User engagement

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