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Preprint ARTICLE | doi:10.20944/preprints202402.0561.v1

Understanding and Classifying Permanent Denial of Service Attacks

Stanislav Abaimov

Subject: Computer Science And Mathematics, Security Systems Keywords: Cyber attack; Denial of Service; Exploit

Online: 9 February 2024 (13:12:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0685.v1

ML Based Software Defect Prediction in Embedded Software for Telecommunication Systems(Focusing on the Case of SAMSUNG ELECTRONICS)

Hongkoo Kang, Sungryong Do

Subject: Computer Science And Mathematics, Software Keywords: Software Defect Prediction; Machine Learning; Software Quality Metrics; Software Quality Management; Embedded Software for Telecommunication Systems

Online: 12 March 2024 (08:04:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.0457.v1

Smart Manufacturing and Pro-Environmental Behaviour: A Moderated Serial Mediation Model

Emily Opoku Aboagye-Dapaah, Michael Karikari Appiah, Joshua Caleb Dagadu

Subject: Computer Science And Mathematics, Information Systems Keywords: Smart Manufacturing; Sustainable Production; Environmental Orientation; Green Innovation

Online: 7 April 2024 (05:30:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0054.v1

Research on Fault Detection by Flow Sequence Algorithm with Deep Learning Model for Industrial Internet of Things

Dongfeng Lei, Liang Zhao, Dengfeng Chen

Subject: Engineering, Control And Systems Engineering Keywords: Industrial Internet of Things; Deep learning; Subsequence classification; Fault diagnosis

Online: 1 March 2024 (14:05:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints202206.0178.v1

Phylogeographic and Bioclimatic Determinants of the Dorsal Pattern Polymorphism in the Italian Wall Lizard, Podarcis siculus

Francesco Gallozzi, Paolo Colangelo, Gabriele Senczuk, Riccardo Castiglia

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: Citizen science; Colour pattern; geographic diversity; phylogeography

Online: 13 June 2022 (09:55:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202002.0197.v1

Predict Arrival Time by Using Machine Learning Algorithm to Promote Utilization of Urban Smart Bus

Rafidah Md Noor, Ng Seong Yik, Raenu Kolandaisamy, Ismail Ahmedy, Mohammad Asif Hossain, Kok-Lim Alvin Yau, Wahidah Md Shah, Tarak Nandy

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Support Vector Machine; Support Vector Regression; Machine learning; Prediction; Urban Smart Bus

Online: 15 February 2020 (14:33:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints201611.0082.v1

A Node Localization Algorithm Based on Multi-Granularity Regional Division and the Lagrange Multiplier Method in Wireless Sensor Networks

Fengjun Shang, Yi Jiang, Anping Xiong, Wen Su, Li He

Subject: Computer Science And Mathematics, Information Systems Keywords: WSN; RSSI; Voronoi diagram; vector similar degrees; Lagrange

Online: 16 November 2016 (13:10:52 CET)

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With the integrated development of the Internet, wireless sensor technology, cloud computing, and mobile Internet, there has been a lot of attention given to research about and applications of the Internet of Things. A Wireless Sensor Network (WSN) is one of the important information technologies in the Internet of Things; it integrates multi-technology to detect and gather information in a network environment by mutual cooperation, using a variety of methods to process and analyze data, implement awareness, and perform tests. This paper mainly researches the localization algorithm of sensor nodes in a wireless sensor network. Firstly, a multi-granularity region partition is proposed to divide the location region. In the range-based method, the RSSI (Received Signal Strength indicator, RSSI) is used to estimate distance. The optimal RSSI value is computed by the Gaussian fitting method. Furthermore, a Voronoi diagram is characterized by the use of dividing region. Rach anchor node is regarded as the center of each region; the whole position region is divided into several regions and the sub-region of neighboring nodes is combined into triangles while the unknown node is locked in the ultimate area. Secondly, the multi-granularity regional division and Lagrange multiplier method are used to calculate the final coordinates. Because nodes are influenced by many factors in the practical application, two kinds of positioning methods are designed: the unknown node is in the positioning unit or not. When the unknown node is on the side of the positioning unit, we use the method of vector similarity. Moreover, we use the centroid algorithm to calculate the ultimate coordinates of unknown node. When the unknown node is not on the side of the positioning unit, we establish a Lagrange equation containing the constraint condition to calculate the first coordinates. Furthermore, we use the Taylor expansion formula to correct the coordinates of the unknown node. In addition, this localization method has been validated by establishing the real environment.

Preprint ARTICLE | doi:10.20944/preprints201906.0200.v2

Smart Meter Data-based Three-Stage Algorithm to Calculate Power and Energy Losses in Low Voltage Distribution Networks

Gheorghe Grigoras, Bogdan-Constantin Neagu

Subject: Engineering, Electrical And Electronic Engineering Keywords: smart meters; low voltage distribution networks; energy losses; three-stage algorithm; typical load profiles

Online: 24 June 2019 (10:43:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0854.v1

ZEMELA - Smart Software Platform for Small Vegetable Farms

Stanimir Nedyalkov Stoyanov, Vladimir Monov, Ivan Stanimirov Stoyanov, Veneta Veselinova Tabakova-Komsalova, Asya Georgieva Stoyanova-Doycheva, Lyubka Atanasova Doukovska, Emil Hristov Doychev, Atanas Terziyski, Daniela Ganeva, Ivanka Tringovska, Stanislava Grozeva, Stoyan Tenev

Subject: Engineering, Other Keywords: smart agriculture; software platforms; personal assistant

Online: 12 April 2024 (12:21:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0081.v1

Error Model of the Measurement Chain Containing the Discrete Wavelet Transform Algorithm

Marian Kampik, Jerzy Roj, Łukasz Dróżdż

Subject: Computer Science And Mathematics, Signal Processing Keywords: measurement chain error model; uncertainty estimation; discrete wavelet transform

Online: 2 April 2024 (02:27:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1677.v1

Global Genetic Algorithm for Automating and Optimizing Petroleum Well Deployment in Complex Reservoirs

Sonny Irawan, Dennis Delali Kwesi Wayo, Alfrendo Satyanaga, Jong Kim

Subject: Engineering, Chemical Engineering Keywords: Well deployment; Genetic Algorithms; CMG; Global Optimization; Reservoir

Online: 29 February 2024 (11:41:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.0065.v1

Sperm Incubation in Bww Medium Induces Capacitation- Related Changes in the Lizard Sceloporus torquatus

Uriel Ángel Sánchez-Rivera, Norma Berenice Cruz-Cano, Alfredo Medrano, Carmen Álvarez-Rodríguez, Martín Martínez-Torres

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: sperm capacitation; BWW medium; lizard; incubation; assisted reproduction techniques

Online: 2 April 2024 (02:26:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0872.v1

Probability Distribution-Guided Adversarial Sample Attacks

Hongying Li, Miaomiao Yu, Xiaofei Li, Jun Zhang, Shuohao Li, Jun Lei, Hairong Huang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Probability Distribution; Adversarial Sample; Transferability; Interpretability

Online: 12 May 2023 (03:13:00 CEST)

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In recent years, with the rapid development of technology, artificial intelligence(AI) security issues represented by adversarial sample attack have aroused widespread concern in society. Adversarial samples are often generated by surrogate models and then transfer to attack the target model, and most AI models in real-world scenarios belong to black boxes, thus transferability becomes a key factor to measure the quality of adversarial samples. The traditional method relies on the decision boundary of the classifier and takes the boundary crossing as the only judgment metric without considering the probability distribution of the sample itself, which results in an irregular way of adding perturbations to the adversarial sample, an unclear path of generation, and a lack of transferability and interpretability. In the probabilistic generative model, after learning the probability distribution of the samples, a random term can be added to the sampling to gradually transform the noise into a new independent and identically distributed sample. Inspired by this idea, we believe that by removing the random term, the adversarial sample generation process can be regarded as static sampling of the probabilistic generative model, which guides the adversarial samples out of the original probability distribution and into the target probability distribution, and helps to improve transferability and interpretability. Therefore, we propose a Score Matching-Based Attack(SMBA) method to perform the adversarial sample attacks by manipulating the probability distribution of the samples, which can show good transferability in the face of different datasets and models, and give reasonable explanations from the perspective of mathematical theory and feature space. In conclusion, our research establishes a bridge between probabilistic generative models and adversarial samples, provides a new entry angle for the study of adversarial samples, and brings new thinking to AI security.

Preprint ARTICLE | doi:10.20944/preprints202312.0716.v1

Assessing the Delay, Cost and Quality Risks of Claims on Construction Contract Performance

Fani Antoniou, Alexandra Tsioulpa

Subject: Engineering, Civil Engineering Keywords: claim management; causes of claims; construction industry; contract management; relative importance index; risk management; construction contract performance; disputes; conflicts

Online: 12 December 2023 (07:46:58 CET)

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Preprint REVIEW | doi:10.20944/preprints202404.0983.v1

Mapping the Landscape of Climate-Smart Agriculture and Food Loss: A Bibliometric and Bibliographic Analysis

Yufei Wang, Mangirdas Morkūnas, Jinzhao Wei

Subject: Business, Economics And Management, Other Keywords: climate-smart agriculture; food loss management; sustainable agriculture; climate resilience; food security

Online: 15 April 2024 (14:38:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201703.0159.v1

Improving Video Segmentation by Fusing Depth Cues and the ViBe Algorithm

Xiaoqin Zhou, Xiaofeng Liu, Aimin Jiang, Bin Yan, Chenguang Yang

Subject: Computer Science And Mathematics, Computer Science Keywords: object detection; background subtraction; video surveillance; Kinect sensor fusion

Online: 20 March 2017 (10:21:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202209.0224.v1

Contract Farming and Climate Change Adaptation in Rural Zimbabwe

Emmanuel Ndhlovu

Subject: Business, Economics And Management, Accounting And Taxation Keywords: Climate change; contract farming; coping; adaptation strategies; Zimbabwe

Online: 15 September 2022 (08:27:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201703.0070.v1

Two-Phase Time Synchronization-Free Localization Algorithm for Underwater Sensor Networks

Junhai Luo, Liying Fan

Subject: Engineering, Electrical And Electronic Engineering Keywords: Underwater sensor networks; synchronization-free; range-free; particle swarm optimization

Online: 13 March 2017 (16:41:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0169.v1

The Application of Smart Learning Systems during Global Pandemics: Taking Spanish Teaching Course as an Example

Bo Lan, Tong Liu, And Chao Luo

Subject: Social Sciences, Education Keywords: Smart Learning Systems; education; COVID-19; Spanish teaching

Online: 3 January 2024 (10:03:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0987.v1

Does Athletes' Respiratory Muscle Strength Affect Max VO2 Kinetics?

Gökhan Deliceoğlu, Veli O. Çakır, Banu Kabak, Halil Ibrahim Ceylan, Raul Ioan Muntean, Valentina Ștefănică

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Respiratory; maximal inspiratory pressure; expiratory pressure; MaxVO2; athletes

Online: 18 March 2024 (09:39:18 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints202403.1754.v1

Promising Algorithm Addressing the Mechanism and Charac-teristic Curves of Insulated Gated Bipolar Transistor (IGBT)

Hsin-Chia Yang, Sung-Ching Chi, Pei-Jun Yang, Bo-Hao Huang

Subject: Physical Sciences, Applied Physics Keywords: IGBT; BCD; Breakdown Voltage; High Current Gain; Kink effects

Online: 28 March 2024 (13:35:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0615.v1

Secure Cloud Computing By A dual-Layer Encryption Mechanism

Sanaa Ali Jabber, Soukaena Hashem, Shtha Jafer

Subject: Computer Science And Mathematics, Security Systems Keywords: cloud; storage; secure; SOA; AES; RSA; LSTM

Online: 8 December 2023 (13:15:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202108.0185.v1

Securing Audio Using AES-based Authenticated Encryption with Python

Jessy Ayala

Subject: Computer Science And Mathematics, Computer Science Keywords: AES; Audio analysis; Authenticated encryption; Cryptography; Python

Online: 9 August 2021 (09:31:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0408.v1

Lucy-Richardson-Rosen Algorithm Assisted Classification of Blurred Images with Deep Learning Networks

Amudhavel Jayavel, Shivasubramanian Gopinath, Praveen P A, Francis Gracy Arockiaraj, Andrei Bleahu, Agnes Pristy Ignatius Xavier, Ivan Slobozhan, Molong Han, Daniel Smith, Soon Hock Ng, Tomas Katkus, Aravind Simon John Francis Rajeswary, Rajesh Sharma, Saulius Juodkazis, Vijayakumar Anand

Subject: Physical Sciences, Optics And Photonics Keywords: imaging; deblurring; deep learning; image classification; Lucy-Richardson algorithm; holography; aberrations; diffraction; incoherent optics; smart phone

Online: 23 February 2023 (09:49:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202209.0295.v1

XOR Chain and Perfect Encryption at the Dawn of the Quantum Era

Luis Adrián Lizama-Perez

Subject: Computer Science And Mathematics, Information Systems Keywords: Authentication; Encryption; Blockchain

Online: 20 September 2022 (05:51:42 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202403.1354.v1

Analyzing the Energy Consumption of Smart Home and Price Prediction

Milka Kutseva

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: internet of things; smart home; machine learning; consumption prediction

Online: 22 March 2024 (11:21:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0293.v1

AICyberSec: A Cyber Security Tool

Dawid Pasamonik, Bartłomiej Smolarski, Weronika Strynkowska, Patrycja Lubicka, Marlena Eksman, Piotr Perliński, Jarosław Krzywanski, Yuriy Povstenko, Marcin Sosnowski, Ireneusz Szcześniak, Bożena Woźna-Szcześniak

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: social media; artificial intelligence; machine learning; chatbots; cybersecurity; emerging applications; coding techniques

Online: 6 November 2023 (09:28:33 CET)

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Preprint ARTICLE | doi:10.20944/preprints201903.0104.v1

Cyber Risk in IoT Systems

Petar Radanliev, David Charles De Roure, Carsten Maple, Jason R.C. Nurse, Razvan Nicolescu, Uchenna Ani

Subject: Engineering, Control And Systems Engineering Keywords: cyber risk; Internet of Things; cyber risk impact assessment; cyber risk estimation; cyber risk insurance

Online: 8 March 2019 (08:50:49 CET)

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Preprint REVIEW | doi:10.20944/preprints202403.1620.v1

Blockchain Technology and Sanitary Aspects of the Water Supply

David Herzog, Nitsa Herzog

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: blockchain; IoT; smart environment; AI; water supply; public health

Online: 27 March 2024 (06:19:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.1019.v1

Adaptation through Climate-Smart Agriculture: Socio-Economic Factors Influencing the Willingness to Adopt Climate-Smart Agriculture by Smallholder Maize Farmers in Limpopo Province

Koketso Cathrine Machete, Mmapatla Precious Senyolo, Lungile Sivuyile Gidi

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Smallholder maize farmers; Climate-smart agriculture; Adaptation strategies; Vulnerability assessment; Willingness to adopt

Online: 18 March 2024 (10:36:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202008.0140.v1

Production -Marketing Coordination under Demand and Lead -Time Uncertainty

Cuiling Ran, Wei He

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: leadtime; demand uncertainty; revenue -sharing contract; production -marketing coordination

Online: 6 August 2020 (08:56:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1168.v1

Spatial Development and Coupling Coordination of Society-Physics-Informational Smart City：A Case Study on Thirty Capitals in China

Chao Wang, Changhao Zhu, Mingrun Du

Subject: Social Sciences, Geography, Planning And Development Keywords: Smart City; SPI Model; Tri-dimensional Framework; Dagum Gini Coefficient; BP Neural Networks

Online: 17 April 2024 (13:07:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.1431.v1

Research on Wheat Image Encryption Based on Different Chaotic Systems

Yi Shao, Huiru Zhu, Xuefeng Deng, Hua Yang

Subject: Computer Science And Mathematics, Computer Science Keywords: chaotic mapping; image encryption; wheat image

Online: 18 January 2024 (14:53:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0751.v1

Anonymous Multi-Receiver Public Key Encryption Based on Lucas Sequences

L houssain El Fadil, Abdelkader MOUMEN, Mohamed BOUYE

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Lucas sequences, public key cryptosystems, Multi-receiver encryption scheme, Chinese Remainder Theorem, Anonymity.

Online: 31 October 2018 (11:03:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202002.0314.v1

Optimal Phase Load Balancing in Low Voltage Distribution Networks Using a Smart Meter Data-Based Algorithm

Gheorghe Grigoras, Bogdan-Constantin Neagu, Mihai Gavrilas, Ion Tristiu, Constantin Bulac

Subject: Engineering, Electrical And Electronic Engineering Keywords: phase load balancing; smart meters; dynamic optimization; on-line implementation; low voltage electric distribution networks

Online: 23 February 2020 (10:14:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.1310.v1

An Improved Deadlock Detection and Resolution Algorithm for Distributed Computing Systems

Tarek Helmy

Subject: Computer Science And Mathematics, Computer Science Keywords: Distributed Computing Systems; Deadlock Detection

Online: 26 March 2024 (03:12:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1698.v1

Efficient Solutions for Large-Scale Max-Cut Problems: A Hybrid Local Search Heuristic Approach and Comparative Analysis with Quantum Annealing

Haibo Wang, Bahram Alidaee, Lutfu Sagbansua

Subject: Business, Economics And Management, Other Keywords: hybrid heuristics; quantum annealing solver; max-cut

Online: 29 February 2024 (12:49:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1125.v1

Water Quality of Eastern Mediterranean Catchments Subject to Different Environmental Pressures Employing Autonomous Unmanned Surface Vehicles (USVs)

Georgios Katsouras, Elias Dimitriou, Sotirios Karavoltsos, Stylianos Samios, Aikaterini Sakellari, Angeliki Mentzafou, Nikolaos Tsalas, Michael Scoullos

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: remote sensing; water quality; autonomous USV; inland and coastal waters; telemetric stations

Online: 20 February 2024 (11:49:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.1045.v1

A Machine Learning-Assisted Classification Algorithm for the Detection of Archaeological Proxies (Cropmarks) Based on Reflectance Signatures

Athos Agapiou, Elias Gravanis

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: archaeological proxies; cropmarks formation; subsurface archaeological remains; detection; machine-learning; spectral signatures

Online: 19 March 2024 (06:49:47 CET)

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Detection of subsurface archaeological remains using a range of remote sensing methods, poses several challenges until today. Recent studies regarding the detection of archaeological proxies like those of cropmarks highlight the complexity of the phenomenon. In this work we present three different methods, and associated indices, for identifying stressed reflectance signatures indicating buried archaeological remains, based on a dataset of measured ground spectroradiometric reflectance. Several spectral profiles between the visible and near infrared part of the spectrum, were taken over a controlled environment in Cyprus during the 2011-2012 and are re-used in this study. The first two (spectral) methods are based on a suitable analysis of the spectral signatures in (1) the visible part of the spectrum, and in particular in the neighborhood of 570 nm, and (2) the red edge-near infrared part of the spectrum, in the neighborhood of 730 nm. Machine learning (decision trees) allows for the deduction of suitable wavelengths to focus on, in order to formulate the proposed indices and the associated classification criteria (decision boundaries) that can enhance the detection probability of stressed vegetation. Noise in the signal is taken into account by simulating reflectance signatures perturbed by white noise. Applying decision tree classification on the ensemble of simulations and basic statistical analysis we refine the formulation of the indices and criteria for the noisy signatures. The success rate of the proposed methods is over 90%. The third method rests on the estimation of vegetation/canopy reflectance parameters through inversion of the physical-based PROSAIL reflectance model and the associated classification through machine learning methods. The obtained results provide further insights into the formation of stress vegetation that occurred due to the presence of shallow buried archaeological remains, which are well aligned with physical-based models and existing empirical knowledge. To the best of the authors' knowledge, this is the first study demonstrating the usefulness of radiative transfer models such as PROSAIL for understanding the formation of cropmarks. Similar studies can support future research directions towards the development of regional remote sensing methods and algorithms if systematic observations are adequately dispersed in space and time.

Preprint ARTICLE | doi:10.20944/preprints202404.1655.v1

Phishing Emails Detection in Cyber Security

Sunil Sharma, Rahul Sharma, Mohit Sharma

Subject: Artificial Intelligence And Machine Learning, Computer Science And Mathematics Keywords: Phishing Detection; DistilBERT Model; Cybersecurity; Artificial Intelligence; Machine Learning; Email Security; Zero-Day Attacks; Natural Language Processing (NLP); Deep Learning; Cyber Threats

Online: 28 April 2024 (04:54:11 CEST)

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Working Paper ARTICLE

Artificial Intelligence in Cyber Physical Systems

Petar Radanliev, David De Roure, Max Van Kleek, Omar Santos, Uchenna Ani

Subject: Engineering, Control And Systems Engineering Keywords: Industrial Internet of Things; Cyber Physical Systems; Internet of Everything; Industry 4.0; Digital Industry; Digital Economy

Online: 14 September 2020 (05:47:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.2269.v1

A Longitudinal Analysis of Cyber Adversarial Tactics and Techniques

Marshall S. Rich

Subject: Computer Science And Mathematics, Information Systems Keywords: Behavioral Analysis; Behavioral Score; Cybersecurity; Data Analytics; Geographic Analysis; Longitudinal Study; Model Recalibration; Network Anomaly Detection; Organizational Analysis; Threat Intelligence

Online: 30 June 2023 (16:16:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201811.0323.v1

Biometric Authentication and Verification for Medical Cyber Physical Systems

ABDULLAH Saleh HAYAJNEH, Alessandro Baccarini, Gary Weiss, Thaier Hayajneh, Aydin Farajidavar

Subject: Computer Science And Mathematics, Information Systems Keywords: cyber-physical systems; WBAN security; biometric authentication; medical systems

Online: 14 November 2018 (08:03:19 CET)

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Preprint REVIEW | doi:10.20944/preprints201804.0066.v1

Cybercrime and Risks for Cyber Physical Systems: A Review

Abel Yeboah-ofori, Jamal-Deen Abdulai, Ferdinand Katsriku

Subject: Computer Science And Mathematics, Information Systems Keywords: cyber physical systems; cybercrime; risk mitigation; risk management; industrial control systems

Online: 5 April 2018 (06:10:06 CEST)

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Cyber Physical Systems (CPS) is the integration of computation and physical process that makes a complete system such as the physical components, networked systems, embedded computers and software and linking together of devices and sensors for information sharing. Cyber Physical Systems are Smart Systems that comprises of the merging and integration of Industry Control Systems, Critical Infrastructures, Internet of Things (IoT) and Embedded Systems. Major industries such as the Chemical and Industrial Plants, Aviation Systems, National Grid, the Stock Exchange, Military Systems, and others depends heavily on these Cyber Physical Systems for financial and economic growth. The benefits of CPS nationally and globally are in the areas of Manufacturing, Energy, Transport, Healthcare and Communication. Cyber Physical Systems incorporates Physical systems, Digital systems and Human elements on network infrastructures to provide interactive systems. However, these three key components the Physical systems, Digital systems and Human elements may have inherent threats and vulnerabilities on them that may run the risk of being compromise, exploited, attacked or hacked. Cybercriminals in their quest to bring down these systems and may cause disruption of services either for fame, revenge, political motive, economic war, cyber terrorism and cyber war. The study seeks to review the risks that are associated with these three key components Physical systems, Digital systems and Human elements. The study considered four main risk mitigation goals for this purpose, and these are Business Value, Organizational Requirements, Threat Agent and Impact based on the review results. We used Analytical Hierarchical Process (AHP) to determine the relative importance of these goals that contributes to developing cybercrime and rich in CPS. For the results, the prioritized goals are then used to assess the risks using a semi-quantitative approach to determine the net threat level.

Preprint ARTICLE | doi:10.20944/preprints202402.0474.v1

Enhancing Vehicle Lightweight Design Process with Genetic Algorithm-Optimized BP Neural Network and Topology Optimization: A Comprehensive Study

Shengzhao Liao, Li Zhong, Liu Yi

Subject: Engineering, Mechanical Engineering Keywords: lightweight design of vehicle technology; genetic algorithm; BP neural network; topology optimization; design parameter optimization

Online: 8 February 2024 (07:16:52 CET)

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Amid the swift progression of the global automobile industry, the aspiration for lightweight vehicle design has surfaced as a crucial approach to boost fuel efficiency and curtail environmental impact. The objective of this study revolves around achieving holistic optimization of vehicle structure via detailed scrutiny of vehicle process characteristics, amalgamated with a Back Propagation neural network (BPNN) optimized by a genetic algorithm (GA) and a topology optimization (TO) method.The process initiates with an examination of the vehicle's technical characteristics, succeeded by an optimization protocol that couples GA with BPNN. This exhaustive optimization procedure derives the best-fit values of design parameters and identifies the globally optimal lightweight design approach. Subsequently, a comprehensive structural optimization is actualized by modifying the topological distribution of the structure.A simulation experiment of the conceptual car body beam skeleton is conducted as a conclusive step, and the anti-collision capacity of the car body beam skeleton is assessed by measuring deformation intrusion. The findings reveal that in the vehicle topology optimization, a comparative analysis of pre and post-optimization results indicates an improved topological density across diverse sections. The topological density of the vehicle's frontal structure escalates from 0.75 to 0.8. Following optimization, the stiffness assessment records a marginal increase (within the range of 0.02–0.05), implying that the lightweight design does not compromise the general rigidity of the structure.The optimized body structure manifests superior crashworthiness in the crash test: the deformation intrusion diminishes by 27% in front-end collisions. In side impacts, the deformation and intrusion at critical points are reduced by 13.15% to 10% respectively. The comprehensive method proposed herein proves to be an efficient strategy to actualize the lightweight design of vehicles.

Preprint ARTICLE | doi:10.20944/preprints202312.1538.v1

Self-Healing Networks: Adaptive Responses to Ransomware Attacks

Gabriela Almeida, Felipe Vasconcelos

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Artificial Intelligence; Cybersecurity; Machine Learning; Network Resilience; Ransomware Defense; Self-Healing Networks

Online: 20 December 2023 (15:53:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0495.v1

An Improved SMS Security Technique to Avoid Plaintext and Dictionary Attacks

Humaira Ashraf, Mirza Qurat Ul Ain Zam Zam, NZ Jhanjhi

Subject: Computer Science And Mathematics, Security Systems Keywords: Android; Android security; cryptographic techniques; SMS security; Deoxyribonucleic acid (DNA); ECSS

Online: 8 January 2024 (04:24:33 CET)

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: Digital communication is becoming an integral component of contemporary society and the use of mobile devices is increasing faster than ever. The function of message communication is becoming more popular as for mobile phone users, a short messaging service (SMS) requires an extremely high level of security. Any SMS that enters a person's smartphone must be considered a private affair, with privacy and security safeguarded. This research study found a novel Deoxyribonucleic acid (DNA) Cryptography method that uses a dynamic DNA sequence table to increase security. Cryptography is a popular approach for ensuring the confidentiality of a message. This paper proposed an Efficient Cryptographic Scheme for SMS (ECSS) algorithm to protect texts received from an Android smartphone. ECSS-based encryption has been identified as a novel method of securing information in the form of DNA molecules that employ DNA strands to conceal the information. This Paper provides the DNA cryptography approach for encrypting and decrypting plain texts in this work. The primary goal of ECSS cryptography is to guarantee secrecy when people transfer data across a network. This paper examines DNA Crypto, the distinction between classical cryptography and DNA Data encryption. An Android-based app is created to perform the proposed technique and the results show that the algorithms produce a consistent encryption result in which the length of the message before encryption is always the same as the length of the message after decryption. The suggested security solution has the potential to greatly improve the security of mobile communication. This Paper also provides experimental results for our chat application performance, such as received text message correctness, cipher text, average encryption time and average decryption time. According to the findings/results of this study, the speed of average encryption and decryption of the description is roughly 0.011 and 0.037 sec and prevents plaintext and dictionary attacks.

Preprint ARTICLE | doi:10.20944/preprints201607.0051.v1

Search for QPOs in the Light Curve of the Blazar OJ287: Preliminary Results from 2015/16 Observing Campaign

S. Zola, M. Valtonen, G. Bhatta, A. Goyal, B. Debski, A. Baran, J. Krzesinski, M. Siwak, S. Ciprini, A. Gopakumar, H. Jermak, K. Nilsson, D. Reichart, K. Matsumoto, K. Sadakane, K. Gazeas, M. Kidger, V. Piirola, F. Alicavus, K.S. Baliyan, A. Berdyugin, D. Boyd, M. Campas Torrent, F. Campos, J. Carrillo Gomez, D.B. Caton, V. Chavushyan, J. Dalessio, D. Dimitrov, M. Drozdz, A. Erdem, A. Escartin Perez, V. Fallah Ramazani, A.V. Filippenko, F. Garcia, F. Gomez Pinilla, M. Gopinathan, J.B. Haislip, J. Harmanen, G. Hurst, K.M. Ivarsen, M. Jelinek, A. Joshi, M. Kagitani, N. Kaur, N. Karaman, W.C. Keel, A.P. LaCluyze, B.C. Lee, E. Lindfors, J. Lozano De Haro, J.P. Moore, R. Naves Nogues, A.W. Neely, R.H. Nelson, W. Ogloza, S. Okano, J.C. Pandey, M. Perri, P. Pihajoki, G. Poyner, J. Provencal, T. Pursimo, A. Raj, R. Reinthal, S. Sadegi, T. Sakanoi, J.-L. Salto Gonzales, T. Schweyer, F.C. Soldan Alfaro, E. Sonbas, I. Steele, J.T. Stocke, J. Strobl, L.O. Takalo, T. Tomov, L. Tremosa Espasa, J.R. Valdes, J. Valero Perez, F. Verrecchia, J.R. Webb, M. Yoneda, M. Zejmo, W. Zheng, J. Telting, J. Saario, T. Reynolds, A. Kvammen, E. Gafton, R. Karjalainen, P. Blay

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: galaxies: active; BL Lacertae objects: individual (OJ 287); super massive black holes

Online: 18 July 2016 (10:46:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0069.v1

An Attitude Adaptive Integral Sliding Mode Control Algorithm with Feedforward Compensation Disturbance Observer for Microsatellites to Track High-Speed Moving Targets

Xinyan Yang, Lei Li, Yurong Liao, Zhaoming Li

Subject: Engineering, Aerospace Engineering Keywords: Microsatellite; Attitude Control; Moving Target Tracking; Disturbance Observer; Sliding Mode Control

Online: 1 March 2024 (18:25:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202306.1731.v1

An Asymmetric Encryption-Based Key Distribution Method for Wireless Sensor Networks

Yuan Cheng, Yanan Liu, Zheng Zhang, Yanxiu Li

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: WSN; Security; Key distribution; Cryptography

Online: 26 June 2023 (03:23:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0470.v1

A New Computational Algorithm for Assessing Overdispersion in Machine Learning Count Models with Python

Luiz Paulo Lopes Fávero, Alexandre Duarte, Helder Prado Santos

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Count data; Machine learning; Negative binomial regression; Overdispersion; Poisson regression; Python; Vuong Test; Zero inflation

Online: 8 March 2024 (09:30:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints202209.0358.v1

Iterative Qubits Management for Quantum Search

Wenrui Mu

Subject: Computer Science And Mathematics, Information Systems Keywords: Quantum Search; Qubit Management; Iterative Search

Online: 23 September 2022 (05:25:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.1126.v1

Green Supply Chain Coordination with Considering Carbon Emissions and Product Green Level Dependent Demand

Xin Li, Guanlai Zhu

Subject: Business, Economics And Management, Business And Management Keywords: Green Supply Chain; Carbon Emission; Buy-back Contract; Cost Sharing

Online: 28 April 2023 (06:14:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0644.v1

Modulatory effects of the addition of argan and olive oils on oxidative and nitrosative stress induced in Tetrahymena pyriformis

Soukaina Essadek, Elena Lima, Khouloud Sassi, Soufiane El Kamouni, Riad El Kebbaj, Gérard Lizard, Pierre Andreoletti, Mustapha Cherkaoui-Malki, Antonio Jesús Castro, Boubker Nasser, Juan de Dios Alché

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Argania spinosa Skeels (L.); oxidative stress; nitrosative stress; Tetrahymena pyriformis; virgin argan oil; virgin olive oil

Online: 11 September 2023 (09:29:58 CEST)

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Virgin Argan Oil (VAO) is extracted from the fruits of the Moroccan endemic species argan [Argania spinosa (L.) Skeels]. It is known for its richness in polyunsaturated fatty acids and its unique composition in tocopherols conferring a panoply of pharmacological properties, documented in several studies. The aim of this study was to investigate the potential protective effect of VAO against oxidative and nitrosative stress induced in cells of the model species Tetrahymena pyriformis. As a comparison, well-known Virgin Olive Oil (VOO) from Olea europaea L. was used instead. Both oils were subjected to a preliminary analysis of phytochemicals and properties of interest. Oxidative stress in T. pyriformis cells was induced by hydrogen peroxide (H2O2) at 350µM, whereas sodium nitroprusside (SNP) nitrosative stress was induced using a 1mM concentration. Neither of these concentrations caused relevant changes in cell viability. The level of reactive oxygen species (ROS) was evaluated in the cell cultures by using H2-DCFDA dye. The activity and cell localization of the antioxidant enzymes catalase (CAT), superoxide dismutase (SOD) and glutathione peroxidase (GPX) was evaluated as well as the levels of glutathione (GSH) and the malondialdehyde (MDA) generated after lipid peroxidation. Finally, the presence and localization of intracellular lipid droplets was assessed by using Nile red. The treatment of cultures with H2O2 produced significant increases in the activity of CAT, SOD and GPX and in the level of GSH, as also did the SNP treatment. MDA level was increased by both the treatments. VAO and VOO treatment were found to protect T. pyriformis from oxidative stress and increased cells defense in nitrosative stress. In another hand VAO and VOO decreased significantly MDA level increased by H2O2 treatment and failed after SNP treatment. The quantification of fluorescence signal obtained from immunolocalization of antioxidant enzymes confirmed the results obtained after the evaluation of their activities. Interestingly the level of ROS and the number of lipid droplets increased by H2O2 treatment was significantly decreased by VAO and VOO co-treatments. VAO and VOO represent strong antioxidants, playing an important role in protecting cells against oxidative stress.

Preprint ARTICLE | doi:10.20944/preprints201911.0029.v1

Smart Community & Smart Dashboard to Support Slow Tourism: The Case Study of Santa Barbara Walk (Sardinia, Italy)

Ginevra Balletto, Alessandra Milesi, Mara Ladu, Giuseppe Borruso

Subject: Engineering, Civil Engineering Keywords: smart community; smart dashboard; smart governance

Online: 4 November 2019 (02:54:13 CET)

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Preprint REVIEW | doi:10.20944/preprints202404.0241.v1

Psychophysics of Social Cyber-Physical System Acceptance

Maya Dimitrova, Neda Chehlarova, Anastas Madzharov, Aleksandar Krastev, Ivan Chavdarov

Subject: Computer Science And Mathematics, Robotics Keywords: cyber-physical systems; robot acceptance; psychophysics; psychological reactance; categorical perception; uncanny valley effect; probability distribution; accessibility

Online: 3 April 2024 (12:07:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0923.v1

Artificial Intelligence with Respect to Cyber Security

Syed Adnan Jawaid

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Artificial Intelligence with respect to Cyber security; Artificial Intelligence and Cyber security; AI and Cybersecurity; Importance of AI with respect to Cyber security

Online: 25 April 2023 (10:35:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0654.v1

Design and Development of A Blockchain-Based Financial Aid Distribution System

Md. Raisul Hasan Shahrukh, Sifat Momen, Nafees Mansoor

Subject: Computer Science And Mathematics, Computer Science Keywords: Blockchain; Financial Distribution; Process Automation; Smart Contracts; Hyperledger

Online: 11 March 2024 (15:19:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.0604.v1

Smart City and Smart Economy: How Are the Greek Municipalities to Exploit the Smart City Benefits to Achieve Economic Development?

Georgios Siokas, Aggelos Tsakanikas

Subject: Social Sciences, Urban Studies And Planning Keywords: smart city ecosystem; urban economy; smart city; entrepreneurship; smart economy

Online: 11 September 2023 (04:08:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201901.0311.v2

On Detecting and Preventing Jamming Attacks with Machine Learning in Optical Networks

Mounir Bensalem, Sandeep Kumar Singh, Admela Jukan

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: optical networks; jamming attacks; machine learning; detection and prevention; routing and spectrum assignment; security

Online: 18 June 2019 (07:26:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.0633.v1

Defense Mechanism Against Attacks Promoting Spread Of Wrong Information

Saba Mahmood, Farah Akif, Humaira Ashraf, NZ Jhanjhi

Subject: Computer Science And Mathematics, Security Systems Keywords: Content Credibility; Reputation Attacks; Sybil; Slander; Whitewash

Online: 8 January 2024 (16:12:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0061.v1

Biological Attacks on Underground Hydroelectric Pump Storage Power Stations

Pavlo Anakhov, Viktoriia Zhebka

Subject: Engineering, Energy And Fuel Technology Keywords: dam; hazard protection measure; water conduit

Online: 6 December 2021 (11:48:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0942.v1

Population Genetic Structure of a Viviparous Sand Lizard, the Phrynocephalus forsythii in the Tarim Basin, Xinjiang of China

Jiabao Duan, Luoxue Jiang, Tianying Chen, Wen Zhong, Wei Zhao, Yue Qi, Penghui Guo, You Li

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: Phrynocephalus forsythii; microsatellite; genetic diversity; population structure

Online: 14 November 2023 (15:25:45 CET)

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Preprint ARTICLE | doi:10.20944/preprints202304.0148.v1

Hyperchaotic Maps and the Single Neuron Model: A Novel Framework for Chaos-Based Image Encryption

Wassim Alexan, Yen-Lin Chen, Lip Yee Por, Mohamed Gabr

Subject: Computer Science And Mathematics, Security Systems Keywords: Cryptography; Hyperchaotic maps; Image encryption; NIST; S-box; Single neuron model.

Online: 10 April 2023 (04:57:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0115.v1

Smart Villages: Comprehensive Review of Initiatives and Practices

Veronika Zavratnik, Andrej Kos, Emilija Stojmenova Duh

Subject: Engineering, Automotive Engineering Keywords: smart villages; smart development; sustainability; digitalization; ICT

Online: 6 July 2018 (09:55:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202112.0411.v1

The Coordination of Multi-Stage Discounts in a Dual Channel Fresh Agricultural Pro-duce Supply Chain: Minimizing the Loss of Quantity and Quality

Xiaojing Zheng

Subject: Business, Economics And Management, Business And Management Keywords: Fresh Agricultural Produce Supply Chain; Coordination; Discount Contract; Quantity Loss

Online: 24 December 2021 (15:56:11 CET)

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Working Paper ARTICLE

Cyber Risk at the Edge: Current and future trends on Cyber Risk Analytics and Artificial Intelligence in the Industrial Internet of Things and Industry 4.0 Supply Chains

Petar Radanliev, David De Roure, Kevin Page, Jason R.C. Nurse, Rafael Mantilla Montalvo, Omar Santos, La'Treall Maddox, Peter Burnap

Subject: Engineering, Automotive Engineering Keywords: Industry 4.0; Supply Chain Design; Transformational Design Roadmap; IIoT Supply Chain Model; Decision Support for Information Management

Online: 24 December 2020 (13:37:35 CET)

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Working Paper ARTICLE

Cyber Risk at the Edge: Current and future trends on Cyber Risk Analytics and Artificial Intelligence in the Industrial Internet of Things and Industry 4.0 Supply Chains

Petar Radanliev, David De Roure, Kevin Page, Jason R.C. Nurse, Rafael Mantilla Montalvo, Omar Santos, La’Treall Maddox, Pete Burnap

Subject: Engineering, Automotive Engineering Keywords: Industry 4.0; Supply Chain Design; Transformational Design Roadmap; IIoT Supply Chain Model; Decision Support for Information Management, Artificial Intelligence and Machine Learning (AI/ML), dynamic self-adapting system, cognition engine, predictive cyber risk analytics.

Online: 23 December 2020 (17:20:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1194.v1

Collaborative Smart Production Supply Chains with Blockchain Based Digital Product Passports

Fatemeh Stodt, Nicolai Maisch, Philipp Ruf, Armin Lechler, Oliver Riedel, Christoph Reich

Subject: Computer Science And Mathematics, Security Systems Keywords: digital product passport; blockchain; GAIA-X; traceability; interoperability; privacy and security; circular economy; smart industries

Online: 21 February 2024 (13:11:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.2077.v1

End-to-End PQC Encryption Protocol for GPKI-based Video Conferencing System

Yeongjae Park, Hyeondo Yoo, Jieun Ryu, Young-Rak Choi, Ju-Sung Kang, Yongjin Yeom

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: E2EE; Zoom; SFrame; MLS; GPKI

Online: 30 May 2023 (08:02:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1701.v1

Network Security Challenges and Countermeasures for Software-Defined Smart Grids: A Survey

Dennis Agnew, Sharon Boamah, Arturo Bretas, Janise McNair

Subject: Engineering, Electrical And Electronic Engineering Keywords: smart grid; software-defined networking; network security; cybersecurity

Online: 28 March 2024 (13:18:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.0937.v1

Challenges and Opportunities in One Health: Google Trends Search Data

Lauren Wisnieski, Karen Gruszynski, Vina Faulkner, Barbara Shock

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: Google Trends; disease prediction; Lyme disease; Lyme; Big Data; One Health; negative binomial; mixed models; zoonotic disease; tick-borne disease

Online: 11 August 2023 (11:01:40 CEST)

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Preprint ESSAY | doi:10.20944/preprints202012.0156.v1

Evidence-Based Management of Gout - A Systematic Search and Review

Md Abu Bakar Siddiq

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: gout; hyperuricemia; lesinurad; life style; prednisolone; uric acid; urate oxidase

Online: 7 December 2020 (13:10:24 CET)

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Gout is the most common form of inflammatory arthritis. Hyperuricaemia is the pre-requisite for gout and is influenced by variable modifiable and non-modifiable risk factors. Clinical features unique for gout are due to deposition of monosodium urate (MSU) crystal in articular and extra articular tissues. Among various treating agents, anti-inflammatory drugs and urate lowering therapies (ULT) are used widely and successfully, however, non-medicinal means are also effective in the disorder. In their updated guidelines, ACR (2012) and EULAR (2016) recommended both medicinal and non-medicinal approaches that could be used in treating gout, though some of the recommendations are based on lower level of evidence. Moreover, researchers’ continued effort in finding new gout managing agents appear promising, for example, role of Lesinurad in gout management (CLEAR1, CLEAR2). In this new synthesis the author is aimed to provide updated information on gout management based on a systematic review including published work within last ten years between 2008 and 2018 and for this purpose, using ‘clinical trials in gout management’ string, published worked searched in PubMed database from 1st September 2018 to 30 October 2018. Besides the recent ACR and EULAR evidence based management guidelines, the author reviewed another 91 (total 93) articles to make this new draft – 39 articles describe role of pharmacological agents and 54 describe different gout risks, pharmacokinetics/pharmacodynamics of ULT, association between raised sUA level and renal impairment, efficacy of non-pharmacological agents in reducing sUA. According to published work, anti-inflammatory agent is the most appropriate drug group in mitigating inflammatory symptoms of gout, though they often adversely affect over other vital 2 organs with impaired function. Besides ULT, uricase analogues are also found useful in non refractory gout. Since anti-inflammatory agents and ULT contraindicate in some clinical conditions, intra-articular steroid and or adrenocorticotropic hormone (ACTH) are appropriate alternatives instead. However, head-to-head comparison between different NSAIDs, NSAID and prednisolone, NSAID and colchicine are yet to perform. Use of combined anti-inflammatory preparations in gout is also based on lower level of evidence. Regarding effective maximum dose and long-standing impact of ULT on vital organs we are yet to reach a conclusion. Likewise, non-medicinal approaches are widely using in achieving target sUA level, though some of them are based on biased study outcomes and or study with inadequate power, requiring further analysis. Among non-pharmacological approaches, life-style modification, restriction of purine rich diets, avoidance of gout inciting agents are important, but inconclusive. Educating patients’ about diseases, risk factors, available treatment options and side effects from them are also important in terms of achieving sUA level, nevertheless too much counseling sometimes could be worthless.

Preprint ARTICLE | doi:10.20944/preprints202401.0056.v1

Optimization of Greedy Randomized Adaptive Search Procedure

Ahmed Tlili, Salim Chikhi

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Mental representation; GRASP metaheuristic; optimization

Online: 2 January 2024 (09:34:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202108.0018.v1

Proximal Policy Optimization for Radiation Source Search

Philippe Proctor, Christof Teuscher, Adam Hecht, Marek Osiński

Subject: Physical Sciences, Radiation And Radiography Keywords: deep reinforcement learning; source search and localization; active search; gamma radiation; source parameter estimation; sequential decision making; non-convex environment}

Online: 2 August 2021 (11:14:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201608.0184.v1

Search for dynamical origin of social networks

Michail Zak

Subject: Computer Science And Mathematics, Computer Science Keywords: instability; attractors; randomness; quantum-classical hybrid

Online: 20 August 2016 (05:39:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.1456.v1

Model for identification of electrical appliance and determination of patterns using high-resolution WSN for the efficient home energy consumption based on Deep Learning

Fernando Ulloa-Vásquez, Victor Heredia-Figueroa, Cristóbal Espinoza-Iriarte, José Tobar-Ríos, Fernanda Aguayo-Reyes, Dante Carrizo, Luis García-Santander

Subject: Engineering, Electrical And Electronic Engineering Keywords: Deep Learning, AMR, Smart-Meter, Smart-Socket, HEMS, Smart-Cities, ILM.

Online: 19 December 2023 (12:16:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints201609.0104.v1

Icing Forecasting of High Voltage Transmission Line Using Weighted Least Square Support Vector Machine with Fireworks Algorithm for Feature Selection

Tiannan Ma, Dongxiao Niu

Subject: Computer Science And Mathematics, Computer Science Keywords: icing forecasting; fireworks algorithm; least square support vector machine; feature selection

Online: 27 September 2016 (11:16:44 CEST)

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Preprint REVIEW | doi:10.20944/preprints202311.0623.v1

Defending the Digital Frontier: IDPS and the Battle Against Cyber Threat

Hamza Azam, Mohammad Irfan Dulloo, Muhammad Hassan Majeed, Janelle Phang Hui Wan, Lee Tong Xin, Muhammed Ahnaf Tajwar, Siva Raja Sindiramutty

Subject: Computer Science And Mathematics, Computer Science Keywords: Intrusion Prevention System (IPS); Intrusion Detection System (IDS); Intrusion Detection and Presentation System (IDPS); Deep Packet Inspection (DPI); Network-Based Prevention System (NIPS)

Online: 9 November 2023 (10:59:26 CET)

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Preprint REVIEW | doi:10.20944/preprints202308.0008.v1

Emerging Luminescent Materials for Information Encryption and Anti-Counterfeiting: Stimulus-Response AIEgens and Room-Temperature Phosphorescent Materials

Yan Jie Li, Peng Fei Gao

Subject: Chemistry And Materials Science, Electronic, Optical And Magnetic Materials Keywords: AIEgens; RTP materials; information encryption; anti-counterfeiting; multilevel encryption

Online: 1 August 2023 (05:20:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1178.v1

Pricing and Coordination for Leasing and Recycling of Construction Machinery in Industrial Internet Platform Based Supply Chain

Jing Yin, Yifan Fang, Hengxi Zhang, Tingting Wang

Subject: Engineering, Other Keywords: construction machinery leasing; Industrial Internet platform; closed-loop supply chain; coordination contract

Online: 17 May 2023 (04:07:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.0718.v1

SecGPSR: A secure GPSR protocol for FANET against Sybil and Gray Hole Attacks

Mauro Tropea, Mattia Giovanni Spina, Abderrahmane Lakas, Panagiotis Sarigiannidis, Floriano De Rango

Subject: Engineering, Telecommunications Keywords: GPSR; FANET; Sybil attack; Gray Hole attack

Online: 11 December 2023 (17:54:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.2046.v1

Research on Secure State Estimation and Recovery Control for CPS under Stealthy Attacks

Biao Yang, Liang Xin, Zhiqiang Long

Subject: Engineering, Control And Systems Engineering Keywords: cyber-physical systems (CPSs); secure state estimation; recovery control; stealthy attacks; improved Kalman filter; internal model control (IMC)

Online: 29 September 2023 (08:20:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201611.0139.v2

Multi-Objective Optimization of a Spring Diaphragm Clutch on an Automobile Based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II)

Junchao Zhou, Chun Wang, Junjun Zhu

Subject: Engineering, Automotive Engineering Keywords: clutch; diaphragm spring; multi-objective; optimization; NSGA-II

Online: 29 November 2016 (05:02:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints201804.0128.v1

The Size and Content of the Sex-Determining Region of the Y Chromosome in Dioecious Mercurialis annua, a Plant with Homomorphic Sex Chromosomes

Paris Veltsos, Guillaume Cossard, Emmanuel Beaudoing, Genséric Beydon, Camille Roux, Santiago C. González-Martínez, John R. Pannell

Subject: Biology And Life Sciences, Plant Sciences Keywords: bacterial artificial chromosomes; RNAseq; genetic map; transposable element; gene density

Online: 10 April 2018 (10:49:41 CEST)

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Working Paper ARTICLE

Dynamic Real-Time Risk Analytics of Uncontrollable States in Complex Internet of Things Systems: Cyber Risk at the Edge

Petar Radanliev, David De Roure, Max Van Kleek, Pete Burnap, Eirini Anthi, Jason R.C. Nurse, Omar Santos, Rafael Mantilla Montalvo, La’Treall Maddox

Subject: Engineering, Automotive Engineering Keywords: functional dependency; network-based linear dependency modelling; internet of things; micro mort model; goal-oriented approach; transformation roadmap; cyber risk regulations; empirical analysis; cyber risk self-assessment; cyber risk target state.

Online: 25 December 2020 (11:35:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0270.v1

Coupling Quantum Random Walks with Long and Short Term Memory for High Pixel Image Encryption Schemes

Junqing Liang, Zhaoyang Song, Zhongwei Sun, Mou Lv, Hongyang Ma

Subject: Computer Science And Mathematics, Information Systems Keywords: image encryption; high pixel density; neural networks; quantum random walk

Online: 15 December 2022 (06:50:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202107.0121.v1

A New Symmetric Image Encryption Scheme Based on Block Level Processing Using Hash Function and AES

R. Thenmozhi, Sivaram Rajeyyagari, S. Balamuralitharan

Subject: Engineering, Automotive Engineering Keywords: Encryption; Decryption; Security; SHA; AES

Online: 5 July 2021 (18:42:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1665.v1

Deep Learning-Based Intrusion Detection for Rare Class Network Attacks

Yu Yang, Yuheng Gu, Yu Yan

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: intrusion detection; internet of things; Deep Learning; AutoEncoder; network security

Online: 24 August 2023 (02:59:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0673.v1

A Comparative Analysis of Different Encryption Algorithms: RSA, AES, DSS for Data Security

Er. Shikha Atwal, Dr. Umesh Kumar

Subject: Engineering, Control And Systems Engineering Keywords: AES; DSS; RSA; security; cryptography; encryption; decryption

Online: 26 April 2021 (13:24:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0012.v1

Contract Theory-Based Incentive Mechanism for Full Duplex Cooperative NOMA with SWIPT Communication Networks

Zhenwei Zhang, Hua Qu, Jihong Zhao, Wei Wang

Subject: Engineering, Automotive Engineering Keywords: Contract Theory; Incentive Mechanism; Cooperative NOMA; SWIPT; Full Duplex

Online: 2 August 2021 (10:03:27 CEST)

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Preprint REVIEW | doi:10.20944/preprints202103.0523.v1

'Copper and Bronze in Art' and the Search for Rare Corrosion Products

Gerhard Eggert

Subject: Chemistry And Materials Science, Metals, Alloys And Metallurgy Keywords: basic copper(II) formate; ‘Black Spots’; chalconatronite; copper(II) hydroxide; copper sulfide; curly malachite; namuwite; sodium copper(II) formate; verdigris

Online: 22 March 2021 (11:50:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints201608.0237.v1

Advancing the AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards’ Equation

Morteza Sadeghi, Alireza Tabatabaeenejad, Markus Tuller, Mahta Moghaddam, Scott B. Jones

Subject: Environmental And Earth Sciences, Environmental Science Keywords: AirMOSS; radar backscatter; P-band remote sensing; root zone; soil moisture profile; Richards’ equation

Online: 31 August 2016 (08:48:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1452.v1

Generalized Approach to Optimal Polylinearization for Smart Sensors and IoT Devices

Marin B. Marinov, Slav Dimitrov

Subject: Engineering, Electrical And Electronic Engineering Keywords: approximation; IoT; linearization techniques; piecewise approximation; polylinearization; recourse-constrained devices; smart sensors

Online: 26 February 2024 (13:37:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.0118.v1

A Software Verification Method for Internet of Things and Cyber-Physical Systems

Yuriy Manzhos, Yevheniia Sokolova

Subject: Computer Science And Mathematics, Computer Science Keywords: CPS; IoT; software quality; physical dimension; physical orientation; formal verification; metaprogramming

Online: 3 May 2023 (08:47:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0315.v1

Intelligent Cyber-Attack Detection and Classification for Network-based Intrusion Detection Systems

Nuno Oliveira, Isabel Praça, Eva Maia, Orlando Sousa

Subject: Computer Science And Mathematics, Computer Science Keywords: Intrusion Detection Systems; Anomaly detection; Sequential analysis; Random Forest; Multi-Layer Perceptron; Long-Short Term Memory

Online: 14 December 2020 (09:36:58 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.0896.v1

Interpolation Once Binary Search over a Sorted List

Jun-Lin Lin

Subject: Computer Science And Mathematics, Computer Science Keywords: binary search; interpolation search; interpolated binary search

Online: 15 April 2024 (08:44:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0253.v1

Theoretical Search for Gravitational Bound States of Tachyons

Charles Schwartz

Subject: Physical Sciences, Space Science Keywords: General Relativity; Schwarzschild metric; circular flows; tachyons; neutrinos; Dark Matter; black holes

Online: 15 August 2022 (08:26:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202111.0107.v1

Dealing with the Ambiguity of Glycan Substructure Search

Vincenzo Daponte, Catherine Hayes, Julien Mariethoz, Frederique Lisacek

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Glycan structure; Knowledge representation; Pattern recognition; Ontology; Semantic web

Online: 5 November 2021 (08:34:05 CET)

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Preprint ARTICLE | doi:10.20944/preprints202107.0241.v1

Consumer Behaviour in Search of a Circular Economy

Antoni Seguí-Alcaraz

Subject: Business, Economics And Management, Accounting And Taxation Keywords: circular economy; environment; consumer

Online: 12 July 2021 (11:14:35 CEST)

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