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Food Supply Chain Cyber Threats: A Scoping Review 11th

Food Supply Chain Cyber Threats: A Scoping Review

引用

11st World Conference on Information systems and Technologies (WorldCIST)

作者： Alatalo, Janne Sipola, Tuomo Kokkonen, Tero Jamk Univ Appl Sci Inst Informat Technol Jyvaskyla Finland

ISBN: (纸本)9783031456473;9783031456480

Cyber attacks against the food supply chain could have serious effects on our society. As more networked systems control all aspects of the food supply chain, understanding these threats has become more critical. This research aims to gain a better understanding of the threat landscape by reviewing the existing literature about the topic. Previous research concerning food supply chain cyber threat was surveyed using the scoping review method. In total, 43 research articles focusing on different parts of the food supply chain were reviewed and summarized in this study. The most prominent identified cybersecurity topics include smart farming, cyber-physical systems, threats against industrial control systems and old unmaintained software.

关键词： Food Supply Chain Critical Infrastructure Cybersecurity

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Perception of the External Communication Strategies Applied by Sernanp for the National Sanctuary of the Mangroves of Tumbes 9th

Perception of the External Communication Strategies Applied ...

引用

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

作者： Argote Carrasco, Nicole Alexandra Morales Luna, Kimberly Milena Vargas Murillo, Alfonso R. Caldas Gayoso, Norma Ines Margarita Turriate-Guzman, Adriana Univ Privada Norte Lima Peru

ISBN: (纸本)9789819733040;9789819733057

The present research establishes an analysis between two variables with the main objective of knowing what would be the perception of the inhabitants of Tumbes about the external communication strategies to obtain a positive impact on the National Mangrove Sanctuary of Tumbes. One of the main results is the poor relationship between the two variables according to the numerical data. The sample corresponding to a total of 215 people was made, for this a quantitative approach was carried out for the elaboration of statistical data and to verify the quality of the document, according to this it is possible to obtain the specific hypothesis that goes according to the study. One of the main results is the poor relationship between the two variables according to the numerical data.

关键词： Research External communication strategies Perception

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Literature Survey: Complaint Management System Using Blockchain Technology 8th

Literature Survey: Complaint Management System Using Blockch...

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8th Smart Trends in Computing and Communications (SmartCom)

作者： Shetye, Isha Morwadkar, Suchitra Chavan, Bhakti Rajole, Samruddhi Kulkarni, Sanika MKSSSs Cummins Coll Engn Women Dept Informat Technol Pune 411052 Maharashtra India

ISBN: (纸本)9789819713127;9789819713134

In a world where technological advancements are rapidly evolving, the need for secure and trustworthy digital processes is very important. As digital interactions play a significant role in daily lives, issues like data breaches, unauthorized access, and fraudulent activities have raised profound concerns. To address these real world problems, Blockchain technology emerges as a transformative solution. The paper highlights the unique characteristics of Blockchain which includes decentralization, security, immutability, transparency, and anonymity revolutionizing the management of police complaints, particularly through First Information Reports in Complaint Management System. The paper addresses the various challenges faced by the traditional Complaint Management System which includes manual intervention, security concerns, lack of transparency, and delays. The paper proposes Blockchain technology as a solution to surmount these challenges by providing a decentralized, tamper-proof, and transparent platform for complaint registration, tracking, investigation, and resolution. The literature survey encompasses various research studies that propose and explore Blockchain-based solutions for complaint management and outlines a need for shift from traditional Complaint Management System to Blockchain-based Complaint Management System.

关键词： Blockchain Complaint Management System (CMS) Decentralization First Information Report (FIR) Immutability Security Traditional Complaint Management System (t-CMS)

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The Role of Learning Factories in Validating and Marketing AI Technologies: A Case Study on Overcoming Industrial Rollout Challenges 14th

The Role of Learning Factories in Validating and Marketing A...

引用

14th International Conference on Learning Factories (CLF)

作者： Koppe, Gesine Torki, Massoud Sattari Beckmann, Markus Ayora, Ricardo Vega Gries, Thomas ITA Acad GmbH Vaalser Str 460 D-52074 Aachen Germany Rhein Westfal TH Aachen Inst Text Tech Otto Blumenthal Str 1 D-52074 Aachen Germany

ISBN: (纸本)9783031654107;9783031654114

In today's industrial landscape, there exists a challenge of successfully introducing innovative technical solutions into the market. The Innovation & Learning Center Aachen presents a case study, how learning factories can serve as pivotal actors in assisting technology providers in validating and marketing their AI products. The problem space under investigation in this study entails the successful implementation of a technical solution yet encountering obstacles in its further rollout into the industry. The AI supplier faces several challenges: a lack of client base in the target industry, limited expertise in understanding the industry's specific needs, and an insufficient grasp of industry-specific knowledge, all contributing to difficulties in customer acquisition, network building, and capitalizing on market potential. The solution approach involves collaborating with technology providers within the learning factory network, adapting the technical solution to meet the requirements of learning factories, presenting the solution to learning factory customers to ensure product-market fit, and aligning the technology provider's business model with learning factory demands. This necessitates the development of industry specific expertise, AI expertise as well as enhanced sales capabilities. The central outcomes of these efforts encompass the design of a Minimum Viable Product (MVP), the implementation in an MVP project, the definition of a strategic partnership, and the development of a commercial toolkit for effective customer engagement. A forward-looking perspective highlights the planned validation, rollout, and expansion of the solution. This pathway allows for bridging the gap between technical innovation and industrial implementation and underscores the pivotal role of learning factories.

关键词： Artificial intelligence operations business models industry cooperation partnership MVP

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Developing a Hybrid Pseudo-Random Numbers Generator 2nd

Developing a Hybrid Pseudo-Random Numbers Generator

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

作者： Mohammed, Saja J. Univ Mosul Coll Comp & Math Comp Sci Dept Mosul Iraq

ISBN: (纸本)9783031628801;9783031628818

Pseudo-random numbers (PRNs) play a vital role in many fields, such as cyber security, simulations, games, and statistical analysis. They provide the level of unpredictability necessary for secure communication and data protection. A Pseudo Random Number Generator (PRNG) is an important tool that can generate number sequences exhibiting statistical properties similar to that of True Random Numbers (TRNs). This paper proposes a PRNG based on multiple principles: feature extraction, biometrics, and a 6D hyperchaotic system. The proposed tool combines these three topics in a specific order to utilize the randomization inherent in each one. The resulting sequence (LPB-chao sequence) underwent a set of randomization tests to ensure its randomization. These tests were applied inside the proposed tool to produce only randomly strong sequences and reject the weak ones. The practical experiments proved that there is great key sensitivity, and the execution time is linearly proportional to the length of the generated sequence.

关键词： Biometrics Cryptography Cyber Security Pseudo Random Number Generator (PRNG) 6D Hyperchaotic System

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How Indirect and Direct Interaction Affect the Trustworthiness in Normal and Explainable Human-Robot Interaction 21st

How Indirect and Direct Interaction Affect the Trustworthine...

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21st International Conference on Smart Technologies and Education (STE) on Smart Technologies for a Sustainable Future

作者： Pham, Truong An Espinosa-Leal, Leonardo Arcada Univ Appl Sci Grad Sch & Res Jan Magnus Janssons Pl 1 Helsinki 00560 Finland

ISBN: (纸本)9783031619045;9783031619052

Human-robot interaction (HRI) attracts significant attention from the public due to the ubiquity of robots in factories, restaurants, and even at home. However, the engagement of users in interacting with the robot is still a question mark due to the challenging trustworthiness. The trustworthiness becomes more complicated when discussing indirect interaction - humans observe the robot - and direct interaction - humans and robots may interact or not interact when being close to each other - in the robotic design. Several studies were conducted to analyze human trust in either indirect or direct aspects of robotic systems. The shortage of benchmarking indirect interaction and direct interaction initiates a significant gap in designing and developing a more subtle robotic system in complex scenarios that involve different stakeholders, such as users and observers, known as indirect users. In this study, we propose a novel guideline for evaluating such robotic systems in human-robot interaction. Particularly, we analyze differences between indirect and direct interaction about human trustworthiness in HRI. In addition, we also investigate the simulation methodology including virtual reality and video to evaluate a human-robot interaction scenario in both normal and explainable robotic systems by integrating a visual feedback module. By conducting quantitative and qualitative experiments, there is no significant difference between indirect and direct interaction in the trustworthiness of HRI. Instead, the explainable feature is recognized as the key factor in improving the trustworthiness of a robotic system.

关键词： human-robot interaction augmented reality virtual reality

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Development of an IALF Overarching Learning Module for Circular Economy 14th

Development of an IALF Overarching Learning Module for Circu...

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14th International Conference on Learning Factories (CLF)

作者： Barth, Jonas Ruzicic, Nada Mennenga, Mark Panagiotopoulou, Vasiliki Wolf, Matthias Ayroa, Ricardo Vega Sattari, Massoud Koeppe, Gesine Weyand, Astrid Seyfried, Stefan Mangers, Jeff Thiede, Sebastian Niemeyer, Jan Felix Khoulenjani, Zahra Ghazanfarpour Petrusch, Natalie Metternich, Joachim Weigold, Matthias Herrmann, Christoph Hummel, Vera Braun, Anja Stavropoulos, Panagiotis Tech Univ Darmstadt Otto Berndt Str 2 D-64287 Darmstadt Germany Reutlingen Univ ESB Business Sch Alteburgstr 150 D-72762 Reutlingen Germany Technol Univ Braunschweig Inst Machine Tools & Prod Technol Langer Kamp 19B D-38106 Braunschweig Germany Univ Patras Dept Mech Engn & Aeronaut Lab Mfg Syst & Automat Patras 26504 Greece Graz Univ Technol Inst Innovat & Ind Management Kopernikusgasse 24-2 A-8010 Graz Austria ITA Acad GmbH Vaalserstr 460 D-52074 Aachen Germany Univ Luxembourg Fac Sci Technol & Med 6 Rue Richard Coudenhove Kalergi L-1359 Esch Sur Alzette Luxembourg Univ Twente Fac Engn Technol Dept Design Prod & Management Chair Mfg Syst De Horst 2Bldg 20 NL-7522 LW Enschede Netherlands Fraunhofer IPK Pascalstr 8-9 D-10587 Berlin Germany

ISBN: (纸本)9783031654107;9783031654114

The increasing importance of sustainable business models due to the scarcity of resources and resulting political regulations leads many companies and research institutions towards the concept of Circular Economy. Subsequently, the learning factory community is facing the challenge of expanding existing concepts to include Circular Economy in their learning factories. Therefore, a learning factory- and competency-based module for Circular Economy is developed by eight members of the International Association of Learning Factories to define a common ground. The module covers the basics of Circular Economy in the production environment and make it tangible through concrete use cases. To achieve these goals, extensive research on existing concepts has been conducted by IALF experts to analyze learning objectives and requirements in detail and derive required competencies. Based on that, the learning module is developed.

关键词： Circular Economy learning module competency development

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Maritime Vessel Detection and Classification in Harbor Environment Using Deep Learning 20th

Maritime Vessel Detection and Classification in Harbor Envir...

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20th International Workshop on Combinatorial Image Analysis (IWCIA)

作者： Waleed, Khalid Farooq, Muhammad Umar Raza, Rana Hammad Natl Univ Sci & Technol NUST Pakistan Navy Engn Coll PNEC Karachi Pakistan

ISBN: (纸本)9783031665936;9783031665943

Automatic surveillance of docks, harbors, and seaports is considered crucial for ensuring smooth port operations. The identification and tracking of maritime vessels in these environments are generally facilitated by Radar and Automatic Identification System (AIS). However, radar faces challenges in detection of small non-metallic vessels, as well as there are other issues such as radar signal clutter, high electromagnetic radiation, and higher costs. Similarly, AIS also face challenges such as device malfunctioning or illegal manipulation etc. Consequently, cameras have been increasingly used in maritime traffic management systems. In recent years, Convolutional Neural networks (CNNs) have shown significant progress in object detection and classification tasks. Though, obtaining large scale maritime datasets with focus on harbor environment still remains a challenge. In this study, experimentation with various pre-trained state-of-the-art CNN models were conducted on images captured from harbor environments in Karachi and Grand Canal in Venice. The dataset presented several challenges such as high-density traffic, occlusions, shadows, background infrastructure, wave motion, boat wakes and reflection on water surface. The pre-trained CNNs were finetuned using a combination of small datasets to obtain both detector and classifier which outperformed previously published results on the MarDCT dataset. Specifically, the proposed model achieved a DR (Detection Rate) of 0.81, FAR (False Alarm Rate) of 0.07 and an average accuracy of 98.78% on the MarDCT dataset.

关键词： Maritime Traffic Vessel Detection Vessel Classification Machine Learning Deep Learning Convolutional Neural networks

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PLATERA: A Comprehensive Web-Based System and Sensor Dataset for Activity Recognition in Households Environments 1

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16th International Conference on Ubiquitous Computing and Ambient Intelligence

作者： Diaz-Jimenez, David Luis Lopez, Jose Gaitan-Guerrero, Juan F. Espinilla, Macarena Univ Jaen Jaen Spain

ISBN: (数字)9783031775710

ISBN: (纸本)9783031775703;9783031775710

In this work we present a web-based system, PLATERA, and an extensive dataset, Living Dataset PLATERA, designed to be used for activity recognition and monitoring in households environments. Each user of the platform can access different functions depending on their role, including activity monitoring, data management, sensor visualization, home creation, and sensor management. The dataset contains information gathered from a variety of sensors, including motion sensors that use passive infrared (PIR) technology to detect movement, anchor devices that measure Received Signal Strength Indicator (RSSI) to determine location, and activity bands that record physical activity data. Temperature and humidity sensors provide accurate measurements of environmental conditions, while magnetic technology powers the opening and closing sensors that operate doors. Through this work we hope to encourage the development of sensor-based activity recognition systems.

关键词： Activity Recognition Smart Homes Sensor Data Web-Based System Internet of Things

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Give Pedestrian More Choice: Socially Aware Navigation Using Reinforcement Learning with Human Action Entropy Maximization 18th

Give Pedestrian More Choice: Socially Aware Navigation Using...

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18th International Conference on Intelligent Autonomous systems (IAS)

作者： Wu, Jiaxu Asama, Hajime An, Qi Yamashita, Atsushi Univ Tokyo Grad Sch Engn Dept Precis Engn 7-3-1 HongoBunkyo Ku Tokyo 1138656 Japan Univ Tokyo Grad Sch Frontier Sci Dept Human & Engn Environm Studies 5-1-5 Kashiwanoha Kashiwa Chiba 2778563 Japan

ISBN: (纸本)9783031449802;9783031449819

Robot navigation in a human-populated environment has spurred wide interest in recent years. While moving safely and efficiently are basic requirements for robot navigation, it is also important for robots to move in a socially acceptable way that obeys the social norms. However, since the social norms are subtle and diverse, most of the rule-based methods considered only situations of pairwise human-robot confrontation, and are difficult to generalize to crowded scenarios. In this paper, we propose a socially aware navigation method using reinforcement learning with human action entropy maximization, in which the diversity of human choices is considered as a reward to inform the robot of the socially acceptable interaction with a crowd. By learning to maximize this reward, the proposed method realizes social acceptability by giving pedestrians more choices to enlarge their chance to take their preferred action. The experiments demonstrate that the proposed method enables the robot to learn socially aware navigation that provides neighboring pedestrians with efficient and safe traffic, outperforming state-of-the-art methods.

关键词： Robot navigation Reinforcement learning Human-robot interaction

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