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Neutrosophic Fuzzy Pairwise Local Function and Its Application

Neutrosophic Sets and Systems 2022年 49卷 19-31页

作者： Salama, A.A. Khaled, Huda E. Elagamy, H.A. Dept. of Math and Computer Sci. Faculty of Science Port Said Univ. Egypt Telafer University The Administration Assistant for the President of the Telafer University Telafer Iraq Dept. of Mathematics and Basic sciences Ministry of Higher Education Higher Future institute of Engineering and Technology Mansour Egypt

In this paper we introduce the notion of neutrosophic fuzzy bitopological ideals. The concept of neutrosophic fuzzy pairwise local function is also introduced here by utilizing the neutrosophic quasi-coincident neighbourhood (i.e. Nq — nbd) structure in a neutrosophic fuzzy topological space. As well as, the concepts of neutrosophic fuzzy bitopologies and several relations between different neutrosophic fuzzy bitopological ideals have been explored. © 2022. All Rights Reserved.

关键词： Fuzzy sets

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Reinforcement Learning for a Raspberry Pi Smart Car for Lane Detection Using OpenCV

Reinforcement Learning for a Raspberry Pi Smart Car for Lane...

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IEEE Annual Computing and Communication Workshop and Conference (CCWC)

作者： Minh Nguyen Tauheed Khan Mohd Dept. of Math and Computer Science Augustana College Rock Island Illinois United States Dept of Math and Computer Science Augustana College Rock Island Illinois

The paper aims to represent an autonomous car prototype using the Raspberry Pi as a processing chip. The pi-camera module provides necessary data from the real world to the car, which then passes the data on to the raspberry-pi. The car can follow a given path safely and intelligently, thus avoiding the risk of human errors by responding to the real-time curve.

关键词： Performance evaluation Deep learning Lane detection Prototypes Reinforcement learning Real-time systems Nanoscale devices

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Securing Internet of Vehicles Protocols using ASCON and GIFT-COFB

Securing Internet of Vehicles Protocols using ASCON and GIFT...

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IEEE Conference on Vehicular Technology (VTC)

作者： Wissal BenMassaoud Darshan M Rutvij H. Jhaveri Gautam Srivastava Dept. of Computer Science Lakehead University Thunder Bay ON Canada Dept. of Computer Science and Engineering School of Technology Pandit Deendayal Energy University India Dept. of Math and Computer Science Brandon University Brandon MB Canada

The Internet of Vehicles (IoV) is a network of vehicles that are connected through the Internet using communication protocols. However, this raises concerns about security and privacy. The vulnerability of object networks has been highlighted in recent reports on cybernetics, and attacks on these networks could pose significant dangers to data integrity. To avoid this, security measures such as resistance to attacks, data authenticity, access control, and privacy must be integrated. The limited capabilities of IoT objects in terms of processing power, memory, bandwidth, and energy have led to the creation and redesign of protocols and architectures that meet the specific needs of these networks. One such protocol is the Message Queue Telemetry Transport (MQTT), which uses a Publish/Subscribe methodology and small amounts of bandwidth. To address security concerns, the paper proposes using the lightweight cryptographic techniques ASCON and GIFT-COFB, which could be useful in securing communication and data exchange in IoV sensor networks.

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Is Gamification a Practical Solution for Increasing Repurchase Intention of Online Customers?

Is Gamification a Practical Solution for Increasing Repurcha...

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2023 Congress in computer science, computer Engineering, and applied Computing, CSCE 2023

作者： Safari, Khalil Safari, Zohreh Keshavarzi, Fatemeh Payam Noor University Dept. of Business Management and Information Technology Tehran Iran Elizabeth City State University Dept. Computer Science Math Engineering Technology Elizabeth City United States Qazvin Islamic Azad University Dept.Information Technology Engineering Qazvin Iran

ISBN: (纸本)9798350327595

With the growth of online shopping, organizations should update their portals and websites in response to changing conditions and competitors' actions. To attract and retain online customers, various tools such as reputation building, trust en-hancement, and gamification are utilized and reinforced. This study has investigated 243 users of DigiKala company through paper and electronic questionnaires. Due to the non-normality of the data, non-parametric statistical methods using SPSS and Smart-PLS3.0 software were employed to analyze structural relationships. Additionally, machine learning tools were utilized to optimize the analysis of customer behavior and identify patterns for effective customer retention strategies. The results show that contrary to the research background, the use of gamification on DigiKala's website has not had a positive and significant impact on customers using this company's website and their repurchase intention. Thus, it seems that DigiKala should focus on context and infrastructures, while simultaneously strengthening and revamping gamification dimensions. © 2023 IEEE.

关键词： Gamification intention to use repurchase intention Reputation Trust in vendor

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Neuro-heuristic Pallet Detection for Automated Guided Vehicle Navigation

Neuro-heuristic Pallet Detection for Automated Guided Vehicl...

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2022 IEEE International Conference on Big Data, Big Data 2022

作者： Prokop, Katarzyna Polap, Dawid Srivastava, Gautam Silesian University of Technology Faculty of Applied Mathematics Kaszubska 23 Gliwice44-100 Poland Brandon University Dept. of Math and Computer Science BrandonMBR7A 6A9 Canada

ISBN: (纸本)9781665480451

Automated guided vehicles (AGV) allow for the automation of operations in warehouse environments. From an application point of view, vehicles can use sensors to move and perform a variety of tasks, including moving objects. In this paper, we focus on the analysis of the environment and the preparation of data for vehicle navigation. The proposed solution is based on two paths of action. In the first, the image of the room is processed by heuristics to locate the robot's target - the palette. The found pattern allows one to locate the destination as well as create a mask. The mask can be used to train the U-Net network. When a network is trained, the use of heuristics for pallet location can be omitted. Locating the target allows the image to be processed to obtain an AGV navigation map. The proposed solution based on heuristics and U-Net networks has been described and tested in simulations to indicate the potential of the proposed approach. © 2022 IEEE.

关键词： Navigation

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Vehicle To Vehicle and Vehicle To Ground Communication - Speech Encryption Algorithm

Vehicle To Vehicle and Vehicle To Ground Communication - Spe...

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Electrical, computer, Communications and Mechatronics Engineering (ICECCME), International Conference on

作者： Obaida M. Al-Hazaimeh Ma'moun A. Al-Smadi Dept. of Computer Science Al-Balqa Applied University Irbid Jordan Dept. of Electrical Engineering Al-Balqa Applied University Irbid Jordan

Vehicle to vehicle (V2V) communication has many applications in intelligent transportation system (ITS) like smart grid systems, fleet management and traffic light control. It aims to interconnect several components like road infrastructures, wireless networks, sensors, and vehicles. Therefore, it can be utilized to reduce congestion, accidents and fuel consumption. This paper propose a speech encryption system based on a one-dimensional logistic map for vehicle to vehicle communication (V2V) communication in intelligent transportation systems (ITS) to improve road safety and efficiency, where encryption and security play a major role. This study employs a symmetric key cryptography technique for chaotic ciphering. In this approach, a random key table lookup criterion was paired with a one-dimensional chaotic map in order to encrypt speech samples with a high level of security and acceptable speed. XOR encryption and speech row shuffling are used in the proposed technique. Using the difference between the old and new row locations, a combination of variable rotation and inversion was performed to each shuffled row in order to increase the level of security. As a consequence of the testing, the proposed approach was shown to be both efficient and usable. Combining key table and logistic map illustrates the advantages of both high-level security and large random key space. The encrypted speech produced is suitable for practical usage especially in vehicle to vehicle and vehicle to base transmission.

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Overcoming Imbalanced Datasets and Feature Complexity in Fraud Transaction Detection Through Down-Sampling and Dimension Reduction 17

Overcoming Imbalanced Datasets and Feature Complexity in Fra...

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17th International Conference on Open Source Systems and Technologies, ICOSST 2023

作者： Shan, Chan Pei Leng, Too Ai Ahmad, Muneer Malik, Yasir Jaffar, Fehmi Universiti Malaya Dept. of Information Systems Malaysia Digby Stuart College University of Roehampton United Kingdom Bishops University Dept. of Computer Science Canada Université du Québec à Chicoutimi Département d'Informatique et de Mathématique Canada

ISBN: (纸本)9798350381320

Detecting fraudulent transactions presents two primary obstacles, the presence of imbalanced datasets and the sheer volume of feature categories. The scarcity of fraudulent instances within the dataset often results in these cases being erroneously classified as noise, consequently introducing bias towards non-fraudulent cases in the detection outcomes. Simultaneously, the extensive array of feature categories poses a formidable challenge in identifying crucial variables, thereby limiting the efficacy of detection algorithms. This research contributes to the field of fraud transaction detection by proposing a multifaceted approach that addresses the challenges of imbalanced data and feature complexity. Through down-sampling, dimension reduction, model evaluation, and precision enhancement, the study aims to improve the accuracy and efficiency of fraud detection models, with the goal of reducing false alarms and financial losses in real-world scenarios. © 2023 IEEE.

关键词： Principal component analysis

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EVALUATION OF PERFORMANCE OF A CI ENGINE FUELED WITH BIODIESEL PRODUCED FROM UNUSED ALGAE

Journal of Solid Waste Technology and Management

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Journal of Solid Waste Technology and Management 2023年第4期49卷 359-364页

作者： Karmakar, Rachan Kumar, Nitin Rajor, Anita Kundu, Krishnendu Kumar, Rajesh Gahlot, Dinesh Chaudhury, Bhaskerpratap Ragit, S.S. Kumar, Amit Gorai, Sanjoy Gangwar, Pavan SInghal, Rishabh Bhattacharya, Sourish Sharma, Rachna Savita Singh, Narpinder Kumar, Neeraj Graphic Era Deemed to be University Uttarakhand Dehradun India Dept. of Mechanical Engineering Roorkee Institute of Technology Uttarakhand Roorkee India School of Energy and Environment Thapar University Punjab Patiala India Dept. of Biofuel CSIR CMERI CoEFM Punjab Ludhiana India Dept. of Chemistry S.S.J. University Campus Almora Uttarakhand India Dept. of Physics Chandigarh Group of Colleges Punjab Jhanjheri India Dept. of Mechanical Engineering Guru Nanak Institute of Technology Maharashtra Nagpur India Dept. of Computer Application Quantum University Uttarakhand Roorkee India Dept. of Electronics and Communication Engineering IMS Engineering College U.P. Gaziabad India Dept. of Electrical Engineering COER University Uttarakhand Roorkee India Process Design and Engineering Cell Discipline CSIR Central Salt and Marine Chemicals Research Institute Gujrat Bhavnagar India Dept. of Applied Science Roorkee Institute of Technology Uttarakhand Roorkee India School of Agriculture Graphic Era Hill University Uttarakhand Dehradun India Dept. of Food Science and Technology Graphic Era Deemed to be University Uttarakhand Dehradun India

Abundant availability and easy culture process of algae make it a better resource than other vegetable crops for biodiesel production. The oil (with 21% FFA content) extracted from the unused, mixed culture of algae in this experiment was used to produce biodiesel by an ‘acid esterification followed by alkaline esterification’ procedure. After confirming the properties of the biodiesel to be within the limit of ASTM standard, three biodiesel blends (B10, B20 and B30) were used in an internal combustion engine (Four stroke single cylinder VCR engine) and the performance of the engine was observed at different engine loads (0%, 20%, 40%, 80%, 100%, 120%). The little higher brake specific fuel consumption (0.22kg/KWh, 0.25 kg/KWh, 0.26kg/KWh and 0.21kg/KWh respectively for B10, B20, B30 and petro-diesel at overload condition), lower brake power (3.41 kW, 3.37 kW, 3.25 kW, 3.39 kW for diesel, B10, B20 and B30 respectively for B10, B20, B30 and petro-diesel) and mechanical efficiency (63.34, 51.43%, 52.06% and 51.43% for petro-diesel, B10, B20 and B30 respectively) for biodiesel blends took place which might be the results of lower calorific value (40800 kJ/kg), higher density (875.27kg/m3) and viscosity (3.14 mm2/s) of the algal biodiesel than diesel. © 2023 Widener University School of Civil Engineering. All rights reserved.

关键词： Biodiesel

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Modeling Automatic Emergency Braking System Using Fuzzy Timed Petri Nets Based on the 3-Second Rule

Modeling Automatic Emergency Braking System Using Fuzzy Time...

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Electrical, computer and Energy Technologies (ICECET), International Conference on

作者： A. Serji E. B. Mermri M. Blej dept. of Math. and Computer Science Mohammed Premier University Oujda Morocco

Automatic Emergency Braking (AEB) systems play a critical role in enhancing road safety by assisting drivers in avoiding or mitigating collisions. This paper proposes a comprehensive method to model AEB systems using Fuzzy Timed Petri Nets tailored for the 3-second rule. The 3-second rule dictates that a vehicle should maintain a safe distance of at least 3 seconds from the advanced vehicle to minimize the risk of forward collisions. It is important to note that this paper's scope is limited to applying the three-second rule under specific conditions. We focus on scenarios where the weather is clear and ideal for driving, the road conditions are standard without any anomalies, and the vehicles involved are in optimal working conditions without mechanical faults. This narrowed focus allows for more in-dept. analysis and understanding of the AEB system's performance under these parameters. By incorporating FTPN, which combines the benefits of Timed Petri Nets and fuzzy logic, we can effectively capture timing constraints and uncertainties associated with the AEB system. By integrating Artificial Intelligence (AI) technologies by combining the strengths of Petri Nets and fuzzy logic, FTPN allows us to accurately represent and infer real-time systems while effectively capturing the timing constraints and uncertainties inherent in reliable performance in critical scenarios for our system. Our model aimed at determining the decision of emergency Braking based on rules that consider the vehicle's speed, the distance to the vehicle in front, and the safety distance. An Expert System derives several rules from our database and presents them as Fuzzy Timed Production Rules (FTPR). The conversion from FTPR to FTPN is crucial in building this model since we cannot model this system without the correct formulation of the rules. The based model depicts a real-time system that responds to the surroundings and its speed to determine when it may start braking and to what extent it w

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The Use of Encryption to Preserve the Privacy and Security of Electronic Health Records

The Use of Encryption to Preserve the Privacy and Security o...

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Business Analytics for Technology and Security (ICBATS), International Conference on

作者： Naila Samar Naz Dept. of Computer Science NCBA&E Lahore Pakistan Applied Science Research Center Applied Science Private University Amman Jordan

Cloud computing is the storage of data over the Internet rather than locally on a user's device, and it is one of the most extensively used applications of computers and related technologies in today's world. Since cloud computing became publicly available, its popularity has risen. End customers may be able to obtain a better application that is more convenient, less expensive, and both effective and efficient because of cloud computing. When storing and managing sensitive data, it is critical to select a storage and management solution that provides security and privacy safeguards. Patients have long been maintained on the cloud, but the data has always been protected by ciphertext encryption. One of the most challenging challenges in a cloud computing environment is the need to protect users' online activities as well as their personal information. The healthcare system was created with the intention of addressing the demands of medical practitioners by providing a solid foundation, simple means to obtain patient information, and efficient ways to use the system. This work describes, with implementation details, an innovative approach for establishing a reliable and effective e-health cloud model employing identity-based encryption. This approach is suggested in this article. The time, power, and energy requirements for encryption and decryption of the suggested strategy were estimated and compared to those of the currently used method. It has been demonstrated that the cryptographic approach presented can reduce the time required for data decoding by up to 50%. Because the decryption process is quicker, the cryptographic procedures may be conducted with less power.

关键词： Cloud computing Privacy Identity-based encryption Public key Medical services Solids Energy efficiency

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