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检索条件"丛书名=Lecture Notes in Networks and Systems"

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Solver Based Heuristics for Rolling Stocks Corrective Maintenance Scheduling 7th

Solver Based Heuristics for Rolling Stocks Corrective Mainte...

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7th International Conference on Logistics Operations Management (GOL)

作者： Ray, Tom Bocquillon, Ronan T'kindt, Vincent SNCF Voyageurs Ingn Mat Cluster Ouest St Pierre Des Corps France Univ Tours Lab Informat Fondamentale & Appl Tours LIFAT Tours France

ISBN: (纸本)9783031686337;9783031686344

Trains have a constrained schedule and are not available on demand. If a malfunction is detected, the moment and the place to fix the problem while keeping the network at its optimal use may not be easy to find, given that there will be multiple problems throughout the network. Deciding of the maintenance requests the solution of a scheduling problem. The goal of this research is to provide an efficient solution to this problem. To achieve this aim, we develop a mixed integer linear programming model, a constraint programming model and multiple heuristic algorithms such as a Local Branching (LB) over the mixed integer linear programming model and a Variable Partitioning Local Search (VPLS) over the constraint programming model.

关键词： Rolling Stock maintenance Mathematical Programming Constraint Programming Heuristics

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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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A Comprehensive Literature Review on Slope Entropy Algorithm: Bridging Past Insights with Future Directions

A Comprehensive Literature Review on Slope Entropy Algorithm...

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Computing Conference

作者： Segui Moreno, Juan Molina Pico, Antonio Univ Politecn Valencia Alcoi Campus Alcoy 03801 Spain

ISBN: (纸本)9783031622717;9783031622694;9783031622687

In recent years, the Slope Entropy (SlopEn) algorithm has been recognized as a critical tool for Time Series Analysis and Time Series Classification, particularly within biomedical signal processing. This paper presents a thorough literature review on the developments, applications, and advancements of the Slope Entropy algorithm, drawing extensively from the seminal work of Dr. David Cuesta Frau in 2019. By meticulously examining the existing literature, we discuss the algorithm's potential for unveiling intricate dynamics inherent in time series data and its capability for enhancing signal quality recognition. We also explore the algorithm's adaptability across various domains beyond biomedical applications, including finance and environmental monitoring. Furthermore, we identify potential areas of improvement, such as computational efficiency and real-time processing capabilities, which could pave the way for novel applications and methodologies. This review culminates in providing a clear roadmap for researchers aiming to employ the Slope Entropy algorithm in novel settings, contributing to its continuous evolution and broader acceptance in the scientific community.

关键词： Slope entropy Time series analysis Time series classification

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Theory of Programming Adoption

Theory of Programming Adoption

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Computing Conference

作者： Ampofo, Isaac Atta, Sr. Ampofo, Isaac Atta Junior, Jr. Ampofo, Beatrice Badzongoly, Eugene Louis Batie Boateng, Francis Ohene Asiedu, William Univ Liverpool Brownlow Hill Liverpool L69 7ZX Merseyside England Univ Educ Winneba Ghana Ghana Commun Technol Univ Accra Ghana Aketen Appaih Menka Univ Skills Training & Entrep 1277 IPT Rd Kumasi Ghana

ISBN: (纸本)9783031622717;9783031622694;9783031622687

Experience in teaching up to university level in computer programming has proven to be a challenge due to the fact that many students did not have a proper exposure to programming during high school. There are teaching and learning theories that describes how teachers teach and students receive, process, and retain knowledge during learning. In literature, there is no theory that have been developed for programming adoption. Thus, the study developed theory of programming adoption. In testing the theory of programming adoption, descriptive and explanatory design was used to help test the model whether it fit the theory or not. The study covered programming students where these students were contacted through Google Forms to answer a questionnaire. Quota sampling technique was used because the study wanted to get as many programming students across the world. A total of 237 programming students took part in the survey. SPSS, AMOS and PROCESS macro were used to analyze the study and test the theory. The Theory of Programming Adoption shows that tutorials, project work and accessibility of resources on the internet have a strong significant effect on students' perception with 139.59%, 27.52% and 98.79% respectively. The highest mediating effect was a mediating effect of students' perception in the relationship between project work and programming adoption with a positive coefficient value of.6472, representing 64.72%. As such, the adoption of computer programming will be higher. The researchers recommend that the TPAshould be used to enhance the theoretical knowledge of future studies.

关键词： Programming Adoption Project work Tutorials Internet resource accessibility

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Fuzzy Logic-Based Energy Management System for an AC Microgrid 4th

Fuzzy Logic-Based Energy Management System for an AC Microgr...

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4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Rahmouni, Ayoub Yousfi, Driss Bachiri, Mohammed Bakhouya, Mohamed Rochd, Abdelilah Univ Mohammed Premier Oujda Natl Sch Appl Sci ESETI Lab Oujda Morocco Int Univ Rabat Coll Engn & Architecture LERMA Lab El Jadida 11100 Morocco Green Energy Pk GEP Benguerir Morocco

ISBN: (纸本)9783031686740;9783031686757

Microgrids, as decentralized production systems, are attracting increasing interest due to their greater efficiency and reliability, helping to redefine the way we approach the transition to cleaner energy. At the same time, sustainable energy resources such as solar, wind, hydro, etc. are positioning themselves as indispensable pillars in this evolution towards a more sustainable energy future. This study focuses on sizing and energy management for an AC microgrid. The system integrates a photovoltaic (PV) source, energy storage sources (ESS) and the distribution grid as a backup source. The main objective is to propose an approach to energy management using fuzzy logic to ensure stable energy distribution between renewable sources and loads, guaranteeing an efficient, sustainable and reliable power supply. A dimensional analysis was carried out using Homer Pro software for the region of Oujda, Morocco, followed by a temporal simulation in the Matlab/Simulink environment. This simulation confirmed the ability of themicrogrid to operate safely, while guaranteeing the efficiency of the energy management system employed. Parameters such as photovoltaic energy availability, load demand, and battery state of charge are taken into account to optimize the power supply. This research makes a significant contribution by demonstrating the viability of an AC microgrid and developing an energy management system that will be implemented in a future scaled-down laboratory prototype.

关键词： MG-FARM Microgrid Smart city Fuzzy logic Energy management system Prototype Homer Pro Matlab/Simulink Photovoltaic

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Pollutant Source Contribution Study Using Chemistry Transport Models 16th

Pollutant Source Contribution Study Using Chemistry Transpor...

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16th International Conference on Ubiquitous Computing and Ambient Intelligence

作者： Pujante Perez, Alejandro Martinez-Abarca Hernandez, Carlos Illueca Fernandez, Eduardo Cuevas Martinez, Iris Jara Valera, Antonio J. Libelium Lab SL Murcia 30006 Spain

ISBN: (纸本)9783031775703;9783031775710

Nowadays, environmental pollution has become one of the most urgent and critical global challenges. Adverse effects on human health, ecosystems, and climate require a thorough comprehension of the sources and magnitude of pollutants. In the last years, a lot of chemistry-transport models have been developed to better understand air pollution in cities. These models utilize pollutant emission fluxes as inputs to predict final pollutant concentrations. This study uses the CHIMERE model to investigate the impact of emission reductions on air quality in the city of Barcelona, focusing on key pollutants such as nitrogen dioxide (NO2), nitric oxide (NO), ozone (O-3), and particulate matter (PM10). The primary objective is to identify and quantify the contributions of various sources to the final concentration of pollutants in the air. The study integrates global emission inventories (EMEP) with local data, enhanced by the emiSURF model, which generates precise emissions inputs for CHIMERE, ensuring reliable simulation results. A series of simulation scenarios were conducted to evaluate the impact of emission reductions across key sectors identified by the SNAP code, including production processes, solvent use, vehicular traffic, and other mobile sources. These scenarios were applied for two distinct periods, February and July 2022, representing different seasonal conditions. The results indicate that the transportation sector significantly impacts air quality, particularly regarding NO2 and NO concentrations. Emission reductions in this sector notably decreased these pollutants. Conversely, sectors such as production processes and solvent use had minimal impact on air quality unless substantial emission reductions were implemented. The study also revealed that O-3 concentrations increased when NO2 emissions decreased, highlighting the complex interplay of atmospheric chemical reactions. In addition, the CHIMERE model has been demonstrated to be an effective tool for predi

关键词： Air Quality Chemistry Transport Models Emission Inventories Environmental Impact Policy Making

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Exploring Critical Success Factors in the Adoption of Industry 4.0 by Using DEMATEL Technique 7th

Exploring Critical Success Factors in the Adoption of Indust...

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7th International Conference on Logistics Operations Management (GOL)

作者： Jamouli, Younes Tetouani, Samir Soulhi, Aziz ESITH Higher Sch Text & Clothing Ind Casablanca Morocco ENSMR Natl Higher Sch Mines Rabat Morocco

ISBN: (纸本)9783031686337;9783031686344

Globalization has created a highly competitive and diverse market, an uncertain and risky business environment, and changing customer expectations. An effective manufacturing strategy reduces complexity and provides organizations with a well-organized manufacturing structure. However, existing research on "Industry 4.0 adoption" appears scattered, lacking systematic understanding and finding no causal relationship between critical success factors (CSFs) in the adoption of Industry 4.0 (I4.0) and their importance. Therefore, this study discusses the essential factors of success for implementing (I4.0) in SMEs operating in clothing sector in Morocco, which have differing specific application characteristics from the conditions in other countries, utilizing the decision-making trial and evaluation laboratory (DEMATEL) approach. This method is considered an effective method for identifying the cause-effect relationship of complex problems. It evaluates interdependent relationships among CSFs from the perspective of academic and industry experts. Identifying cause and effect factors leads to increasing the market's competitiveness and prioritizing them. Results show that Organization and environment are the main dimensions to successfully implement I4.0.

关键词： Critical success factors (CSF) Industry 4.0 DEMATEL

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Beyond Information System User Behavior Models: The Power of User Groups in Preventing Insider Attacks

Beyond Information System User Behavior Models: The Power of...

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Intelligent systems Conference

作者： Nikiforova, Oksana Zabiniako, Vitaly Riga Tech Univ Riga Latvia ABC Software Ltd Riga Latvia

ISBN: (纸本)9783031663284;9783031663291

Traditional information security methods, such as access control and firewalls, cannot always provide effective protection against internal threats. Analysis of user behavior allows us to identify anomalous actions that may indicate an attempt to gain unauthorized access to information or commit other illegal actions. The most common sign about suspicious user behavior is changing system usage patterns, atypical data queries, an attempt to access unallowed resources, sudden change in workload, etc. Various methods can be used to analyze user behavior, such as collection and analysis of data about user actions in the system and application of machine learning methods to identify anomalous patterns. All these methods analyze the behavior of individual users relative to their usual behavior. Such an analysis may be inaccurate if it is determined that the user regularly makes unauthorized use of information systems. This paper proposes grouping users according to their behavior patterns and analyze the behavior of each individual user against the behavior that is expected for the group. Then, by excluding user behavior data from the group's expected behavior pattern, the behavior pattern of the individual user can be analyzed against the behavior of the remained users in the group. The novelty consists in obtaining more precise behavioral analyzes by introducing the concept of subgroups (groups consisting of the users remaining after the extraction of the respective user, which is analyzed against expected behavior model of its group).

关键词： Insider threats Machine learning User behavior modelling e-StepControl

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Impact of Internet of Things in Smart Agriculture 8th

Impact of Internet of Things in Smart Agriculture

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8th Smart Trends in Computing and Communications (SmartCom)

作者： Siva, Vijay Ponnusamy, Vijayakumar SRM Inst Sci & Technol Dept Elect & Commun Engn Chengalpattu Tamil Nadu India

ISBN: (纸本)9789819713226;9789819713233

IoT in agriculture bought remarkable improvement in food production. It not only improves production. It enhances the quality of agricultural products and decreases the cost of labor. The architecture of IoT is analyzed. The current status of IoT in agriculture is discussed. Five key technologies were discussed: sensor perception technology, information processing, information transmission, radio-frequency identification, Geographic Information System technology, and Global Navigation Satellite System. The role of IoT in various agricultural operations, such as harvesting, fertilizer spray, and weed detection, is discussed in detail. The part of multiple sensors in agriculture is analyzed. The limitations of IoT and prospects are analyzed.

关键词： Internet of Things Agriculture Fertilizer spray Weed detection Harvesting

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A Decision Making Approach for Implementing Blockchain Technology in Africa 7th

A Decision Making Approach for Implementing Blockchain Techn...

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7th International Conference on Logistics Operations Management (GOL)

作者： Dahbi, Houda Benabdellah, Abla Chaouni Belhadi, Amine Int Univ Rabat Rabat Business Sch BearLab Rocade Rabat Sale Rabat Morocco

ISBN: (纸本)9783031686337;9783031686344

Agriculture is universally recognized as one of the pivotal industries responsible for safeguarding the integrity of our global food supply chain. However, with the increasing world population, the exigencies of agri-food production have surged, prompting a compelling shift from conventional agricultural practices towards the realm of smart agriculture. This transition is imperative to meet the escalating demands while ensuring food security, quality, and sustainability. In this paper we aim to identify and to rank the facilitating factors according to their importance and their ability to promote the adoption of BT technology in African agriculture with the VIKOR method. The results of our analysis provide valuable insights into the most important enablers that should be harnessed to promote competitive and sustainable agriculture in Africa. By identifying and prioritizing these factors, policymakers, agricultural stakeholders and technology developers can make informed decisions regarding the adoption and implementation of blockchain technology in the African agricultural sector.

关键词： Blockchain technology Sustainability Enablers Smart agriculture Decision making

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