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A Blockchain-Based Voting System for Elections 5th

A Blockchain-Based Voting System for Elections

引用

5th International Conference on Communication and Intelligent systems (ICCIS)

作者： Kumar, Akshit Menaria, Sourabh Sagar, Karan Choudhary, Aaditya Bajaj, Parveen Kumar Chandigarh Univ Dept Comp Sci & Engn Gharuan India

ISBN: (纸本)9789819720811;9789819720828

This study focuses on developing a decentralized application (DApp) for polling and voting functions using Ethereum blockchain technology. The aim is to improve the transparency and security of the platform to create an efficient and secure platform for conducting elections and voting. The system provides open access to open elections to encourage inclusiveness and democratic participation. It ensures transparency by making all elections in bloc. Ethereum smart contracts manage the voting process to guarantee the integrity and immutability of votes. The solution integrates with the InterPlanetary File System (IPFS) for decentralized data storage. User interface development using React with TypeScript for efficiency and reliability. Testing and validation using the Sepolia testnet before deploying to the Ethereum mainframe. The result is a functional DApp that enables fairer and safer voting by leveraging the decentralized, transparent, and incorruptible properties of the blockchain. Future challenges include legal considerations, voter education, and ensuring broad access. Overall, however, the use of blockchains and smart contracts greatly increases the reliability and security of voting.

关键词： Blockchain Election Polling Ethereum Web3

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Obtaining the Origin-Destination Matrix in Transportation 1

引用

16th International Conference on Ubiquitous Computing and Ambient Intelligence

作者： Mora, Higinio Mora Gilart-Iglesias, Virgilio Barba, Javier Garcia Pomares, Luis Aragones Sirvent-Llamas, Alejandro Univ Alicante Dept Comp Sci & Technol Alicante Spain Univ Alicante Dept Civil Engn Alicante Spain

ISBN: (数字)9783031775710

ISBN: (纸本)9783031775703;9783031775710

Currently, urban transportation is a field that requires new models and optimization systems. One of the most important aspects is the ability to dynamically optimize transport routes. This paper conducts a systematic analysis of the current methods for counting passengers in open urban transport systems, evaluating their advantages and disadvantages. Finally, an innovative solution is proposed to count passengers and obtain an origin-destination matrix using smartphones. This solution leverages the high penetration of mobile devices in modern society and their ability to capture accurate and real-time data. By usingwireless technologies such asWi-Fi and Bluetooth, the system aims to detect and count passengers anonymously, without their intervention, contributing to greater acceptance by transport passengers.

关键词： Origin-destination matrix intelligent transport systems routes management traffic management IoE application and services IoE enabling technologies Applications of hybrid sensor networks

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UAV-Based Crop Health Analysis Using the Normalized Difference Vegetation Index (NDVI) Method 1

引用

8th Smart Trends in Computing and Communications (SmartCom)

作者： Gaikwad, Sandeep Kale, Karbhari Chawda, Rahul Patel, Kanubhai Symbiosis Int SICSR Pune Maharashtra India Dr Babasaheb Ambedkar Tech Univ Lonere Maharashtra India Assam Univ Dept Comp Sci Silchar Assam India Charotar Univ Sci & Technol Smt Chandaben Mohanbhai Patel Inst Comp Applicat Anand Gujarat India

ISBN: (数字)9789819713264

ISBN: (纸本)9789819713257;9789819713264

The agriculture sector is under stress due to the change in the climate, increasing population, and traditional cultivation practices. Moreover, small landholding capacity and increasing pollution, which caused land degradation, are responsible for lowering agriculture income. Therefore, smart farming or precision agriculture are imperative solutions due to their potential and efficacy. In this case, remote sensing-based techniques are efficiently used in agricultural sectors for crop monitoring. However, satellite-based crop monitoring has limitations, such as data unavailability in rainy seasons due to dense cloud cover, low spatial resolutions, and timely unavailability. However, unmanned aerial vehicles (UAVs) are game changers in the agriculture sector because UAVs can perform various operations like spraying, crop monitoring, fertilizer, yield estimation, irrigation mapping, disease monitoring, etc. Therefore, the present research used the DJI Phantom P4 UAV with a multispectral camera to monitor cotton health using NDVI. It is observed that the cotton cultivated with poly-mulch has better health than cotton cultivated without poly-mulch.

关键词： UAV Drone NDVI Crop health monitoring Precision agriculture

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The Role of Online Product Information in Enabling Electronic Retail/E-tailing 12th

The Role of Online Product Information in Enabling Electroni...

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

作者： Houcheimi, Abdallah Mezei, Jozsef Abo Akad Univ Fac Social Sci Business & Econ & Law Turku Finland

ISBN: (纸本)9783031602207;9783031602214

This paper examines the impact of online product information on consumer purchasing decisions in the context of e-commerce. With the rapid growth of electronic retail (e-tailing), understanding how online information influences consumer behavior has become crucial. The study investigates the key aspects of online product information, including availability, searchability, and presentation, and their effects on customers' intentions to purchase more online. The research employs a configurational approach, analyzing survey data from users of e-tailing services. A key focus is on how product descriptions and information availability contribute to online shopping decisions. Additionally, the study considers the effects of information search processes as motivators for consumer behavior. The findings indicate that product information significantly enhances online shopping experiences and positively influences purchasing decisions. This highlights the critical role of product information in e-commerce and its ability to boost sales. It also suggests that different combinations of product information conditions can lead to higher levels of online shopping intentions. The paper contributes to academic research in e-tailing by providing insights into the importance of product information in electronic retail and identifying key conditions that lead to higher online purchases.

关键词： Electronic retailing FsQCA Product Information Information Search

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Abnormal Action Recognition in Social Media Clips Using Deep Learning to Analyze Behavioral Change 12th

Abnormal Action Recognition in Social Media Clips Using Deep...

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

作者： Gharahbagh, Abdorreza Alavi Hajihashemi, Vahid Ferreira, Marta Campos Machado, Jose J. M. Tavares, Joao Manuel R. S. Univ Porto Fac Engn Rua Dr Roberto Frias S-N P-4200465 Porto Portugal Univ Porto Dept Engn Mecan Fac Engn Rua Dr Roberto Frias S-N P-4200465 Porto Portugal

ISBN: (纸本)9783031603273;9783031603280

With the increasing popularity of social media platforms like Instagram, there is a growing need for effective methods to detect and analyze abnormal actions in user-generated content. Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning that can learn complex patterns. This article proposes a novel deep learning approach for detecting abnormal actions in social media clips, focusing on behavioural change analysis. The approach uses a combination of Deep Learning and textural, statistical, and edge features for semantic action detection in video clips. The local gradient of video frames, time difference, and Sobel and Canny edge detectors are among the operators used in the proposed method. The method was evaluated on a large dataset of Instagram and Telegram clips and demonstrated its effectiveness in detecting abnormal actions with about 86% of accuracy. The results demonstrate the applicability of deep learning-based systems in detecting abnormal actions in social media clips.

关键词： Social Media User-Generated Content Temporal Analysis Instagram Twitter

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Exploring the Balance Between Automated Decision-Making and Human Judgment in Managerial Contexts 1

引用

8th Smart Trends in Computing and Communications (SmartCom)

作者： Alex, Vivian P. Anirudh, H., V Siby, Amala Christ Deemed Be Univ Bengaluru India

ISBN: (数字)9789819713233

ISBN: (纸本)9789819713226;9789819713233

The study delves into the dynamic and evolving discussion surrounding the balance between automated and human judgment within the realm of managerial decision-making. The primary objective of this research is to gain insight into how AI is evolving to mitigate ethical biases that are inherent in managerial decision-making. To accomplish this goal, the study adopts a theoretical approach, supported by qualitative analysis through an extensive review of existing literature. By systematically investigating AI techniques for managerial decision-making, the research contributes to a broader understanding of how AI is progressing to promote ethically sound managerial decisions in future. The findings from this study are pertinent to business leaders, policymakers, and researchers, offering guidance as they navigate the intricate relationship between automation and human judgment in today's managerial landscape.

关键词： Artificial intelligence Machine learning Managerial decision-making

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Model-Based Reinforcement Learning with Hierarchical Control for Dynamic Uncertain Environments

Model-Based Reinforcement Learning with Hierarchical Control...

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Intelligent systems Conference

作者： Oesterdiekhoff, Annika Heinrich, Nils Wendel Russwinkel, Nele Kopp, Stefan Bielefeld Univ Fac Technol Social Cognit Syst CITEC Bielefeld Germany Univ Lubeck Inst Informat Syst IFIS Dept Comp Sci & Engn Lubeck Germany

ISBN: (纸本)9783031664274;9783031664281

Autonomous intelligent systems are often trained using reinforcement learning (RL), which however is difficult and inefficient in dynamic uncertain environments. Different approaches to overcome these challenges exist, including model-based RL or hierarchical control structures in factored action spaces. However, there is a lack of detailed analyses of the benefits and weaknesses of model-based RL and its combination with hierarchical control when learning action policies for such control problems. In this paper, we report the results of such an analysis. Comparing model-free and model-based RL, we show that the outputs of an internal model must be accurate with at least 50% to yield a performance gain in comparison to a model-free approach. Moreover, we explore a hierarchical control architecture that employs (model-based) control policies specialized for different environmental conditions, managed by a trained meta-agent. Our analyses of training performance indicate important directions for learning action policies in intelligent systems in dynamic uncertain environments and even for complex tasks such as in multi-tasking scenarios.

关键词： Model-based reinforcement learning Hierarchical control

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Proteus ISIS Modeling and Experimental Validation of a Photovoltaic Tracer Based on Boost Converter 4th

Proteus ISIS Modeling and Experimental Validation of a Photo...

引用

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

作者： Khlifi, Abdelilah KhliV, Yamina Mohammed First Univ Energy Embedded Syst & Data Proc Lab ENSAO Oujda Morocco

ISBN: (纸本)9783031686498;9783031686504

The current-voltage tracer is helpful for analyzing and reproducing the characteristics of photovoltaic (PV) generators under various weather conditions. Therefore, it can be used in assessing the performance of PV panels and pinpointing any system issues. Several tracer topologies with inherent weaknesses exist in the literature, including increased circuit complexity and non-smooth characteristics. This paper suggests a straightforward approach to solve these problems by introducing an I-V tracer design using a boost converter, implemented using Proteus ISIS software. Afterward, experimental validation is conducted to confirm the simulation results. The key findings reveal a significant agreement between simulation and experimental results, demonstrating that the designed PV tracer enables smooth and accurate PV characteristics.

关键词： I-V tracer Proteus ISIS Multimeter Boost converter Duty cycle Arduino UNO

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Technology Transfer in the Field of Additive Medical Technologies Based on Patent Informatics Research 1

引用

13th Computer Science Online Conference

作者： Astankov, K. S. Nikolaev, A. S. Somonov, V. V. Pinaeva, V. A. ITMO Univ Technol Transfer Ctr 11 Tchaikovsky St St Petersburg Russia

ISBN: (数字)9783031703003

ISBN: (纸本)9783031702990;9783031703003

The study is devoted to the implementation of technology transfer in complex technical niches. Using the example of 3D printing technology in the production of heart valves, the authors of the study demonstrate the existing barriers that complicate the transfer of developments created by research centers to the real sector of the economy. The information base for the study is patent activity data collected from national and international patent information databases collected by intellectual property offices. The article identifies the main regions of innovation activity, as well as key players in this area. The authors of the article point out the conditions to transform startup projects into an independent business. The author's technology transfer model presented in the work shows three main milestones in the development of basic technology. The transition from the era of startups to the era of real business solutions expected to be carried out on the basement of flexible project management approaches.

关键词： innovation management additive technologies medical technologies technology transfer intellectual property analysis

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Generating and Updating Supervised Data Mining Models on a Periodic Basis

Generating and Updating Supervised Data Mining Models on a P...

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Intelligent systems Conference (IntelliSys)

作者： Duarte, Ana Belo, Orlando Univ Minho LASI ALGORITMI R&D Ctr Campus Gualtar P-4710057 Braga Portugal

ISBN: (纸本)9783031477140;9783031477157

Data mining techniques are currently of great importance in companies and organisations worldwide for building predictive models. These models are particularly useful for classifying new data and supporting decision-making processes by helping to make the most appropriate decisions. However, over time, the predictive models created can become outdated as the patterns found in the data change due to natural evolution. This aspect can affect the quality of the models and lead to results that do not match reality. In this paper, we present a general approach for creating a self-updating system of predictive models that can be adapted to specific contexts. This system periodically generates and selects the most appropriate predictive model for ensuring the validity of its predictions. It integrates data processing and data mining model generation, and allows for the detection of changes in existing patterns as new data is added. This is suitable for supervised data mining tasks that may be affected by data evolution. The implementation of the system has demonstrated that it is possible to pre-process the data and select the best predictive model. In addition, since the execution is triggered automatically, the need for system maintenance is reduced.

关键词： Concept drift Data mining Self-updating models Weka Pentaho data integration Workflow

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