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Smart IoT Devices: An Efficient and Elegant Revolution Using Smart Switches 1

引用

8th Smart Trends in Computing and Communications (SmartCom)

作者： Rao, Annam Takshitha Kumar, Aman Choudhary, Rupali Kanjia, Khush Dhumane, Amol Zade, Nilima Deokar, Shubhangi Symbiosis Int Symbiosis Inst Technol Dept Comp Sci & Engn Pune Campus Mulshi Pune 411021 Maharashtra India

ISBN: (数字)9789819713134

ISBN: (纸本)9789819713127;9789819713134

In the age of "ubiquitous computing," the Internet of Things (IoT) has emerged as a dominant force, heralding a new paradigm in device communication and interaction. Integrating everyday objects, from household appliances to industrial machinery, with internet connectivity, IoT enhances automation, control, and data monitoring. While the technology's evolution traces back to the early internet, its transformative impact today spans intelligent home thermostats to interconnected vehicles and revolutionary smart switches. A notable challenge is ensuring seamless integration among these diverse devices, highlighting the need for robust platforms like Sinric Pro. Sinric Pro stands as a comprehensive IoT solution, facilitating efficient device management and enabling easy prototyping and deployment. The fusion of Sinric with the versatile ESP8266 microcontroller further broadens IoT application possibilities, allowing even basic engineers to connect hardware to the cloud effortlessly. The collaboration streamlines device management, paves the way for intuitive mobile and web applications, and holds promise for advancing IoT's reach in the future. The landscape of IoT in home automation and energy efficiency has seen promising strides, yet certain challenges remain. Further research is imperative to bridge the gaps between theoretical propositions and practical applications.

关键词： Ubiquitous computing Internet of Things (IoT) Device communication Automation Smart switches Integration platforms Sinric Pro ESP8266 microcontroller Smart environments Device management Cloud connectivity Home automation

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Uncovering Business Accounts Among Retail Shoppers: Insights from Supermarket Transactions Using an Intelligent Decision Support System

Uncovering Business Accounts Among Retail Shoppers: Insights...

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Guler, Eslem Zeybek, Omer Migros Ticaret AS R&D Dept TR-34735 Istanbul Turkiye

ISBN: (纸本)9783031671913;9783031671920

Customer segmentation is crucial to retail operations, pivotal in marketing strategies, and improving operational efficiency. This study proposes an innovative approach to optimizing customer segmentation and enhancing business efficiency. The primary objective is to classify customers currently shopping in supermarkets but exhibit behaviors indicative of potential interest in preferring the wholesale channel. Although the propensity of retail customers to buy specific products and their probability of churn have been well documented by previous marketing analytics research, less is known about service-oriented customer segmentation. By leveraging customer behavior and transactional sales-related data from a retail grocer serving both retail and wholesale channels, this research aims to identify retail customers exhibiting wholesale behavior patterns. Various unsupervised classification algorithms were employed during the estimation process. Among them, the KMeans algorithm, known for its usage in segmentation models, was chosen as the primary classification model. Implementing this strategy has the potential to streamline customer targeting efforts, ultimately maximizing the effectiveness of directing individuals toward the most relevant retail outlet. By discovering these patterns, we aim to direct customers toward the retailer's most efficient service channel, streamlining customer targeting efforts and enhancing operational efficiency.

关键词： Machine Learning Customer Analytics

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Integrating Fuzzy Cognitive Mapping and Picture Fuzzy TOPSIS for Long-Term Retail Performance Evaluation 1

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Sari, Irem Ucal Ozkirim, Ceren Ilgin, Ugurcan Istanbul Tech Univ Dept Ind Engn Istanbul Turkiye

ISBN: (数字)9783031700187

ISBN: (纸本)9783031700170;9783031700187

Efficient performance evaluation holds pivotal importance in the dynamic landscape of the retail sector. This paper presents a methodology that integrates Fuzzy Cognitive Map (FCM) and Picture Fuzzy Technique for Order Preference by Similarity to Ideal Solution (PF-TOPSIS) for comprehensive performance measurement. Emphasizing the overarching significance of retail performance assessment in organizational success, this approach begins by acknowledging the multifaceted nature of retail operations. Through FCM, the intricate interrelationships among long-term influential criteria shaping retail performance are identified and elucidated, facilitating a deeper understanding of underlying dynamics. Subsequently, leveraging PF-TOPSIS, retailers are assessed based on identified criteria, while accounting for inherent uncertainties in real-world data. This integrated framework empowers retailers to gain insights into critical performance factors and prioritize strategic actions for sustained success. By offering a holistic perspective that considers both qualitative and quantitative dimensions, our methodology enhances the accuracy and reliability of performance evaluation in the retail domain. Through an application on a company in the tire industry, the effectiveness and applicability of this approach are demonstrated, providing valuable guidance for retail practitioners and researchers navigating the intricacies of performance assessment and strategic decision-making in the retail landscape.

关键词： Retailer Performance Management Fuzzy Cognitive Mapping Picture Fuzzy TOPSIS

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Fuzzy Spatial Analysis of the Hellenistic House in the Izmir Mount Nif Ballicaoluk Settlement

Fuzzy Spatial Analysis of the Hellenistic House in the Izmir...

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Yaman, Tutku Tuncali Onem, Ilkay Gizem Marmara Univ Fac Business Adm Dept Management Informat Syst Istanbul Turkiye Istanbul Univ Inst Social Sci Archaeol Program Istanbul Turkiye

ISBN: (纸本)9783031671944;9783031671951

Ballicaoluk archaeological site, located in the eastern region of Mount Nif, was excavated as part of the Mount Nif Excavation Project. The remains of an ancient settlement unearthed about 3.5 ha. land on the hilltop. Within the excavations in the AC 24-25 and AD 24-25 plan squares, a residential area dated to the Hellenistic period according to the finds and architectural remains was excavated. The subject of this paper is confined to two adjacent trenches, AC24c-AD24d. The finds were grouped into four clusters using a c-fuzzy clustering method, which has shown effective outcomes in previous archaeological studies. The relationships between the groups and the areas identified by archaeological expertise within the structure were determined using spatial spread, elevation, and type of the finds. This method aims to offer insights into the functions of different regions within the archaeological site by effectively integrating the archaeological context with quantitative analysis through sophisticated clustering techniques. The application of fuzzy methodologies is considered suitable for addressing both the spatial and qualitative ambiguity inherent in archaeological material. According to the results of fuzzy clustering, four contextually meaningful clusters were created. This paper seeks to promote wider acceptance and comprehension of fuzzy methods in archaeology, given their efficacy in managing the spatial and qualitative uncertainties frequently associated with archaeological data.

关键词： Nif Smyrna Spatial Analysis Fuzzy Clustering Archaeology

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Using Permutation Entropy to Evaluate Spatial Predictability in Urban Crime 1

引用

16th International Conference on Ubiquitous Computing and Ambient Intelligence

作者： Dang, Minling Yu, Zhiwen Chen, Liming Wang, Zhu Guo, Bin Nugent, Chris Northwestern Polytech Univ Xian Peoples R China Harbin Engn Univ Harbin Peoples R China Dalian Univ Technol Dalian Peoples R China Ulster Univ Belfast North Ireland

ISBN: (数字)9783031775710

ISBN: (纸本)9783031775703;9783031775710

Predicting where the crime occurs is essential and significant for preventive policing which is an important action for economic benefits, urban building and human safety. Predictability is a theoretical bound for the prediction performance in human behaviour based on limited data. Current approaches to predictability are usually based on human mobility, with the development of electronic information systems in the police system, more datasets about urban crime can be obtained. Therefore, it is possible to study the predictability of urban crime. To address this, this study uses permutation entropy as the measure to evaluate the spatial predictability of urban crime. The method has been evaluated using urban cities' public crime datasets (Washington DC, Denver, New York, and Vancouver) from years 2010-2022. The results prove the hypothesis of correlation between the space scales of data and the level of spatial predictability, which can guide the prediction of the urban crime algorithms.

关键词： Permutation Entropy Predictability Urban crime

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Mathematical Modelling and Fuzzy Logic 1

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Ozok, Ahmet Fahri Istanbul Okan Univ Ind Engn Dept TR-34959 Istanbul Turkiye

ISBN: (数字)9783031700187

ISBN: (纸本)9783031700170;9783031700187

Mathematical knowledge beginning with, very simple mathematical definitions to very complex expressions is necessary for mathematical modelling. The same reality is true for Fuzzy Logic. Researchers all over the world have to understand to some degree the fundamental concepts of advanced mathematics. Infinity, continuity, limit, theory of functions, symbolic logic, number theory, linear algebra, probability theory, and topology are some of these fundamental concepts. If any researcher without a sound mathematical background, applies only the Fuzzy Logic formulas, it will be very superficial. We have to keep in mind that to understand the mathematical philosophy of Fuzzy Logic, we must learn and digest a whole different area in mathematics. Like in every field of science understanding the main idea and philosophy of Fuzzy Logic is much more important than technical and operational features. Day by day the concept of Fuzzy Sets influences many different fields, particularly engineering systems, sociology, economy, semantics, data analysis, medicine, decision making, etc.

关键词： Mathematics Fuzzy Logic Abstraction Mathematical Modelling Mathematical Philosophy Decision Making

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Effects of Using Computational Fluid Dynamics Simulations on Student Learning During a Mechanical Engineering Course 9th

Effects of Using Computational Fluid Dynamics Simulations on...

引用

9th International Congress on Information and Communication Technology (ICICT)

作者： Morano Okuno, Hector Rafael Sandoval Benitez, Guillermo Tecnol Monterrey Sch Sci & Engn Monterrey Mexico

ISBN: (纸本)9789819735587;9789819735594

In recent years, it has been recorded that university students quickly lose attention during theoretical classes. When asked to develop an activity using the concepts seen in class, they lost the explanations and asked if it was something new. The previous situation is not a short-term memory problem but a characteristic of new generations. They are different, more dynamic, and change their thoughts quickly. They were born immersed in technology, and today, they learn to use digital tools easily. This research shares the results obtained using computational fluid dynamics (CFD) simulations as a didactic tool in a Mechanical Engineering course employing the Tec21 Educational Model. The case study consisted of teaching the same topics in four groups. CFD simulations were used in two of them, and in the other two, they were not. To evaluate the effects of using CFD simulations as a teaching tool, the grades obtained by students during the course, a survey of students' perceptions about the course, and voluntary comments from students at the end of the semester were considered. The results show an improvement in grades, the acceptance of using software applications to generate simulations, and the recognition of the professor's expertise when teaching the course.

关键词： CFD simulations Student attention Student learning Educational innovation Higher education Tec21 model

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Using Semi-Markov Models for Generating, Validating, and Analyzing Artificial Smart Home Processes 1

引用

16th International Conference on Ubiquitous Computing and Ambient Intelligence

作者： McClean, Sally Wang, Dongwei Yang, Lingkai McChesney, Ian Tariq, Zeeshan Prasad, Shalini Univ Ulster Sch Comp Belfast BT15 Antrim North Ireland Chinese Inst Coal Sci Res Inst Mine Artificial Intelligence Beijing 100013 Peoples R China

ISBN: (数字)9783031775710

ISBN: (纸本)9783031775703;9783031775710

Improvements in medicine have led to huge increases in longevity, with a corresponding rise in demands for healthcare. Such changes have been accompanied by major developments in sensor technologies and smart homes, which can generate event data arising from a person's Activities of Daily Living (ADLs). By identifying these underlying activities, technology can support older people in their homes through reminding them of routine activities, detection of anomalous behavior, and sending alarms to care providers. However, the lack of suitable large datasets of ADL process executions, for testing algorithms at scale, has been a barrier to the development and deployment of such solutions. ADL event data shares characteristics with datasets found in organizational task mining, characteristics such as relatively low volume and rich human-environment interactions. We here draw upon techniques from organizational process and task mining involving a semi-Markov modelling approach to characterize ADL sequences and activity durations and use these models to generate large artificial smart home process datasets. The methodology is evaluated on a public domain sensorized and annotated smart home dataset. Outputs are validated qualitatively through an analysis of the state transition matrices and graphs of activity duration, and quantitatively using both an entropy-based approach to compare duration distributions and conformance analysis techniques from process mining, demonstrating the viability of our approach at scale.

关键词： artificial smart home processes semi-Markov models process mining

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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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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...

引用

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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