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Preprint ARTICLE | doi:10.20944/preprints202409.0429.v1

Drying Goat's Milk by Spray Dryer: Physical-Chemical Characterization of Goat's Milk in Natura, in Powder and Reconstitutedle

Juanne Queiroz Farias, Mario Eduardo Rangel Moreira Cavalcanti-Mata, Maria Elita Martins Duarte, Francisca Moisés de Sousa, Viviane Brasileiro de Holanda, Manoel Tolentino Leite Filho, Alexandre da Silva Lúcio, Mylena Olga Pessoa Melo

Subject: Engineering, Other Keywords: atomization; preservation; statistica

Online: 5 September 2024 (12:36:03 CEST)

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Preprint REVIEW | doi:10.20944/preprints202409.0228.v1

Challenges and Issues of Life Cycle Assessment of Anaerobic Digestion of Organic Waste

Kasun Gimhana Jayawickrama, Rajeev Ruparathna, Rajesh Seth, Niharendu Biswas, Hisham Hafez, Edwin Tam

Subject: Engineering, Other Keywords: Life cycle assessment; Anaerobic digestion; Organic waste; Review

Online: 4 September 2024 (04:58:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0282.v1

A Novel Methodological Approach to Simulating the Growth of Photosynthetic Organisms Using Long-Term Meteorological Sequences: A Case Study of a Microalgae (Chlorella vulgaris)

Ousmane Wane, Luis F. Zarzalejo, Francisco Ferrera-Cobos, Ana A. Navarro, Rita X. Valenzuela

Subject: Engineering, Other Keywords: Long-term meteorological sequences; Simulation; Photosynthetic organisms; Wastewater treatment; High-rate algae pond

Online: 3 September 2024 (16:55:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0107.v1

Enhancing Virtual Reality Exposure Therapy for Social Anxiety Disorder Using Generative Adversarial Networks: A Personalized and Adaptive Approach

Samuel Duraivel

Subject: Engineering, Other Keywords: Virtual Reality Exposure Therapy (VRET); Social Anxiety Disorder (SAD); Generative Adversarial Networks (GANs); Personalized Therapy; Artificial Intelligence in Mental Health

Online: 3 September 2024 (02:48:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0117.v1

Individual Urban Trees Clustering in LiDAR Data with 3-D Gestalt Measures

Daniel Andrade Silva, Daniel Rodrigues dos Santos

Subject: Engineering, Other Keywords: urban vegetation; LiDAR; gestalt measures; deep learning; 3-D aggregation; 3-D abstraction

Online: 2 September 2024 (16:57:35 CEST)

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Preprint REVIEW | doi:10.20944/preprints202409.0076.v1

Design and Implementation of a Mobile Based Attendance Register

Wisdom Elikplim Korkortsi, Joseph Ayisi Okyere, Michael Ahenkorah-Marfo

Subject: Engineering, Other Keywords: Attendance; Android; iOS; QR Code; Geolocation; Flutter; Authentication; Verification

Online: 2 September 2024 (13:34:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2212.v1

Effect of Material and Structure of UHMWPE Body Armor on Ballistic Limit Velocity: Numerical Simulation

Jiang Bian, Kaida Dai, Xiaojiang Lv, Zilu Huang, Guangrun Wu, Yuan Zhang

Subject: Engineering, Other Keywords: UHMWPE body armor; FSP; ballistic limit velocity; numerical simulation

Online: 30 August 2024 (05:23:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2186.v1

Research and Analysis for the Cognitive Principles of Vocational Education and Training in Greece at the beginning of the 21st Century

DIMITRIOS KOTSIFAKOS, Dimitrios Kiriakos, Konstantinos Kalovrektis, Yannis Psaromiligkos, Christos Douligeris

Subject: Engineering, Other Keywords: Vocational Education and Training; Teaching and Learning Analytics for Technical Education; Curricula and Educational Research; Digital Culture

Online: 29 August 2024 (14:51:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2169.v1

Fatigue and Ultimate Strength Evaluation of GFRP-Reinforced, Laterally-Restrained, Full-Depth Precast Deck Panels with Developed UHPFRC-Filled Transverse Closure Strips

Mahmoud SAYED AHMED, Khaled Sennah, Hamdy M Afefy

Subject: Engineering, Other Keywords: Fatigue loading; precast full-depth deck panel; Joint fill materials; GFRP bars; UHPFRC

Online: 29 August 2024 (12:48:48 CEST)

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Full depth precast deck panel (FDDP) is one element of the prefabricated bridge element and systems (PBES) that allows for quick un-shored assembly of the bridge deck on-site as part of the accelerated bridge construction (ABC) technology. This paper investigates the structural response of full-depth precast deck panels (FDDPs) constructed with new construction materials and connection details. FDDP is cast with normal strength concrete (NSC) and reinforced with high modulus (HM) glass fiber reinforced polymer (GFRP) ribbed bars. The panel-to-girder V-shape connections use the shear pockets to accommodate the clustering of the shear connectors. A novel transverse connection between panels has been developed, featuring three distinct female-to-female joint configurations, each with 175-mm projected GFRP bars extending from the FDDP into the closure strip, complemented by a female vertical shear key and filled with cementitious materials. The ultra-high performance fiber reinforced concrete (UHPFRC) was selectively used to joint-fill the 200-mm transverse joint between adjacent precast panels and the shear pockets connecting the panels to the supporting girders to ensure full shear interaction. Two actual-size FDDP specimens for each type of the three developed joints were erected to perform fatigue tests under the footprint of the Canadian Highway Bridge Design Code (CHBDC) truck wheel loading. The FDDP had a 200-mm thickness, 2500-mm width, and 2400-mm length in traffic direction; the rest was over braced steel twin girders. Two types of fatigue tests were performed; incremental variable amplitude fatigue (VAF) loading and constant amplitude fatigue (CAF) loading, followed by monotonically loading the slab ultimate-to-collapse. It was observed that fatigue test results showed that the ultimate capacity of the slab under VAF loading or after 4 million cycles of CAF exceeds the factored design wheel load specified into the CHBDC. Also, punching shear failure mode was dominant in all the tested FDDP specimens.

Preprint ARTICLE | doi:10.20944/preprints202408.2077.v1

GIS Framework for Sustainable Logistics Operations

Jonathan Agoo, Renz Joshua Lanuza, Jonathan Lee, Paul Anthony Rivera, Neil Oliver Velasco, Marielet Guillermo, Arvin Fernando

Subject: Engineering, Other Keywords: carbon footprint; environment; geographic information; last-mile delivery; logistics; return trip scheduling; route optimization; sustainability

Online: 28 August 2024 (15:36:42 CEST)

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Preprint REVIEW | doi:10.20944/preprints202408.1332.v2

Microplastics and Climate Change: Unveiling Ecological Impacts and Addressing Research Gaps

Andrea Navarro

Subject: Engineering, Other Keywords: microplastics; greenhouse gas emissions; microbial activity; environmental pollutants; climate change; ecological impacts

Online: 28 August 2024 (10:35:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints202408.1992.v1

Advancements in Securing Cloud-Stored Data and Managing Sensitive Information: A Comprehensive Review of Ciphertext-Policy Attribute-Based Encryption (CP-ABE) Techniques

Priya S, Amritha R

Subject: Engineering, Other Keywords: Ciphertext-Policy Attribute-Based Encryption (CP-ABE); Blockchain; Key Management; Decentralized Security; Cloud-Stored Data, Yolo V7; Explainable AI (XAI); Online/Offline Multi-Authority Scheme; Hid

Online: 28 August 2024 (09:15:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1952.v1

AI-Enhanced Decision-Making for Course Modality Preferences in Higher Engineering Education During the Post-COVID Era

Amirreza Mehrabi, Jason Wade Morphew, Bab Nadjar Araabi, Negar Memarian, Hossein Memarian

Subject: Engineering, Other Keywords: online learning; technology-enhanced learning; educational machine learning; educational artificial intelligence; feature selection methods; random forest; SVM; decision tree

Online: 27 August 2024 (12:41:12 CEST)

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Preprint ESSAY | doi:10.20944/preprints202408.1798.v1

The Social Robotics Gamble

Joao Silva Sequeira, Álvaro Castro González, José Carlos Castillo, Fernando Alonso Martin, Miguel Angel Salichs

Subject: Engineering, Other Keywords: Social Robots; Human-Robot Interaction; Humanisation; Companion Robots; Lifestyle; Sustainability

Online: 26 August 2024 (08:25:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1581.v1

Infill Well Placement Optimization for Polymer Flooding in Offshore Oil Reservoirs Using an Improved Archimedes Opti-Mization Algorithm with Halton Sequence

Engao Tang, Jian Zhang, Anlong Xia, Yi Jin, Lezhong Li, Jinju Chen, Biqin Hu, Xiaofei Sun

Subject: Engineering, Other Keywords: well placement; polymer flooding; archimedes optimization algorithm; Halton Sequence; offshore oil reservoirs; reservoir simulation

Online: 22 August 2024 (02:57:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1521.v1

Investigation of the Interaction between Poly(trimethylene Carbonate) and Various Alcohols

Ayun Erwina Arifianti, Nalinthip Chanthaset, Hiroharu Ajiro

Subject: Engineering, Other Keywords: poly(trimethylene carbonate); interaction; alcohols; glucose

Online: 21 August 2024 (08:40:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1088.v1

Molecular Insight into Water/Methane Occurrence Characteristics within Nanoporous Composite Media in Deep Shale Formations

Xuefeng Yang, Jiawei Liu, Lieyan Cao, Jian Zhang, Shengxian Zhao, Qin Yang, Qiujie Chen, Zishuo Qu, Jiawei Liu

Subject: Engineering, Other Keywords: Methane; Water; Adsorption; Deep shale; Nanopore; Molecular simulation

Online: 20 August 2024 (03:47:55 CEST)

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Preprint REVIEW | doi:10.20944/preprints202408.1332.v1

Microplastics and Climate Change: Unveiling Ecological Impacts and Addressing Research Gaps

Andrea Navarro

Subject: Engineering, Other Keywords: microplastics; greenhouse gas emissions; microbial activity; environmental pollutants; climate change; ecological impacts

Online: 19 August 2024 (14:31:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1152.v1

General New Geometrical Modelling for Composite Materials: Application for Knitted Composites

Mohamad Abbas Kaddaha, Rafic Younes, Pascal Lafon

Subject: Engineering, Other Keywords: knitted composites; compliance matrix; homogenization; yarn

Online: 16 August 2024 (03:04:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1085.v1

Calibration for Improving the Medium‐Range Soil Forecast over Central Tibet: Effects of Objective Metrics’ Diversity

Yakai Guo, Baojun Yuan, Changliang Shao, Guanjun Niu, Dongmei Xu, Yong Gao

Subject: Engineering, Other Keywords: metrics diversity; Kling-Gupta efficiency; soil temperature modelling; spatial complexity; land surface parameters

Online: 14 August 2024 (14:53:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0511.v1

The Application of Tsallis Entropy Based Self-Adaptive Algorithm for Multi-Threshold Image Segmentation

Kailong Zhang, Mingyue He, Lijie Dong, Congjie Ou

Subject: Engineering, Other Keywords: Tsallis Entropy; Long-range Correlations; Self-adaptive Algorithm; Multi-level Thresholding; Robustness

Online: 7 August 2024 (14:19:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0469.v1

Research on SLAM Localization Algorithm for Orchard Dynamic Vision Based on YOLOD-SLAM2

Zhen Ma, Siyuan Yang, Jingbi Li, Jiangtao Qi

Subject: Engineering, Other Keywords: Orchard environment; YOLOD-SLAM2; Navigation line extraction; Pedestrian distance measurement

Online: 7 August 2024 (00:29:29 CEST)

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Preprint REVIEW | doi:10.20944/preprints202408.0264.v1

Digital Twin Approach for Operation and Maintenance of Transportation System – Systematic Review

Sylwia Werbińska-Wojciechowska, Robert Giel, Klaudia Winiarska

Subject: Engineering, Other Keywords: Digital Twin; operation and maintenance; transportation system; systematic review analysis; air transportation; railway transportation; land transportation; in-house logistics; water and intermodal transportation; supply chains operation; PRISMA guidelines

Online: 5 August 2024 (08:18:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0092.v1

Solar-Powered Microgrids for Rural Electrification: Techno-Economic Analysis and Social Impact

Chris Bell, Ayoolu Olukemi, Abram Gracias

Subject: Engineering, Other Keywords: Solar-Powered Microgrids; Rural Electrification; Techno-Economic Analysis; Social Impact

Online: 2 August 2024 (09:06:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0025.v1

Integration of Solar Energy and Agriculture: Agrivoltaic Systems for Sustainable Food and Energy Production

Chris Bell, Ayoolu Olukemi, Abram Gracias

Subject: Engineering, Other Keywords: integration of solar energy; agriculture: agrivoltaic systems; sustainable food; energy production

Online: 1 August 2024 (13:27:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0002.v1

Advanced Perovskite-Silicon Tandem Solar Cells: Enhancing Efficiency and Stability

Chris Bell, Ayoolu Olukemi, Abram Gracias

Subject: Engineering, Other Keywords: Perovskite-Silicon Tandem Solar Cells; Efficiency; Stability

Online: 1 August 2024 (11:56:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2264.v1

Standards for Data Spaces Building Blocks

Francesca Noardo, Rob Atkinson, Lucy Bastin, Joan Maso, Ingo Simonis, Alejando Villar, Marie-Françoise Voidrot, Piotr Zaborowski

Subject: Engineering, Other Keywords: data spaces; interoperability; data exchange; standards

Online: 29 July 2024 (10:50:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2274.v1

BA-CLM: A Globally Consistent 3D LiDAR Mapping Based on BA Cost Factors

Bohan Shi, Wanbiao Lin, Wenlan Ouyang, Chenyu Shen, Siyang Sun, Yan Sun, Lei Sun

Subject: Engineering, Other Keywords: consistent high-precision mapping; LiDAR bundle adjustment; graph optimization

Online: 29 July 2024 (09:56:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2277.v1

Investigating School Principals' Burnout: A Cross-Cultural Perspective on Stress, Sustainability, and Organizational Climate

Remus Sibisanu, Stanislav Cseminschi, Andreea Ionica, Monica Leba, Anca Draghici, Yunis Nassar

Subject: Engineering, Other Keywords: stress; burnout; heartrate; organizational climate; fuzzy; high school principals’ wellbeing

Online: 29 July 2024 (09:38:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1179.v2

A Novel Security System Using a Physical Unclonable Framework With Modified Elliptic Curve Cryptography Algorithm

Aiham Altaher

Subject: Engineering, Other Keywords: PUF; Improved PUF; ECC; security; Cybersecurity; Authentication; Authorization; Encryption; Decryption

Online: 26 July 2024 (05:58:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1968.v1

Activity Identification and Classification of On‐Court Wheelchair Locomotion Tasks for Wheelchair Sport Analysis: A Method Proposal

Mathieu Deves, Christophe Sauret, Ilona Alberca, Lorian Honnorat, Yoann Poulet, Arnaud Hays, Arnaud Faupin

Subject: Engineering, Other Keywords: method; monitoring; performance; paralympic

Online: 25 July 2024 (11:54:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1980.v1

Optimizing the Indium Tin Oxide Layer Characteristics toward a Low-Cost Dust-Cleaning Process for Solar Panels

Salman Alfihed, Reema Abdulaziz Altuwaijri, Sara Ahmed Alsalman, Adnan Zaman, Shaeen Kalathil

Subject: Engineering, Other Keywords: ITO annealing; dust mitigation; surface modification; ITO resistivity; ITO refractive index

Online: 25 July 2024 (11:53:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2003.v1

Visualization of Peruvian Startups: An Application for Incubators and Investors

nadine Aceituno Moya

Subject: Engineering, Other Keywords: startups; incubators; investors; PHP; Peru; entrepreneurship; technology

Online: 25 July 2024 (09:35:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2019.v1

High- Flexibility Contact Force Sensor Based On The 8-Shaped Wound Polymer Optical Fiber For Human Safety In Human-Robot Collaboration

Yi Liu, Yaru Zuo, Xueyao Jiang, Xuezhu Li, Weihao Yuan, Wenhong Cao

Subject: Engineering, Other Keywords: human-robot collaboration; soft sensor; force sensor; optical fiber sensor; polymer optical fiber sensor

Online: 25 July 2024 (08:30:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2012.v1

Human-Inspired Decision-Making in AI: Leveraging Insights from Visual Perception for Real-Time Sensor Data Processing

Oto Težak, Darko Hercog, Mitja Truntič, Tanja Žmauc

Subject: Engineering, Other Keywords: AI; differential evolution; real-time systems; psychophysics; Weber-Fechner law

Online: 25 July 2024 (07:22:08 CEST)

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Preprint REVIEW | doi:10.20944/preprints202407.1782.v1

Control of the Properties of the Voronoi Tessellation Technique and Biomimetic Patterns: A Review

Ana Karilú Arvizu-Alonso, Eddie Nahúm Armendáriz-Mireles, Carlos Adrián Calles Arriaga, Enrique Rocha-Rangel

Subject: Engineering, Other Keywords: Voronoi tessellation; Biomimetics; mechanical properties; gradient pore structure; processing methods

Online: 23 July 2024 (13:42:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1389.v1

Thermoplastic-Based Ballistic Helmets: Processing, Ballistic Resistance and Damage Characterization

Rafael R. Dias, Natalin M. Meliande, Hector Guillermo Kotik, César G. Camerini, Iaci M. Pereira

Subject: Engineering, Other Keywords: thermoplastic composites; ballistic helmet shells; scanning; computed tomography

Online: 17 July 2024 (13:56:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1380.v1

Production Optimization of an Integrated Asset Model of the Farnsworth Field Unit

Angus Eastwood-Anaba, William Ampomah, Anthony Ameyaw

Subject: Engineering, Other Keywords: Surface-Coupled Reservoir Modeling and Optimization; Integrated Production System Modeling; Surface Facility Optimization; CO2-EOR Optimization; Optimization of CO2-EOR; Integrated Asset Model

Online: 17 July 2024 (13:34:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1342.v1

Simulation-Based Optimization Workflow of CO2-EOR for Hydraulic Fractured Wells in Wolfcamp a Formation

Dung Bui, Duc Pham, Son Nguyen, Kien Nguyen

Subject: Engineering, Other Keywords: CO2-EOR Huff-n-Puff; Hydraulic fracturing simulation; Hydrodynamic-geomechanical coupled model; Wolfcamp A formation; Optimizing recovery of unconventional reservoir

Online: 17 July 2024 (08:37:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0655.v1

Study on the Equivalent Density Tool and Depressurization Mechanism of Suction-Type Depressurization Cycle

Meipeng Ren, Xingquan Zhang, Renjun Xie, Junyan Wang, Zhaopeng Zhu, 学彬程, Liangbin Dou

Subject: Engineering, Other Keywords: Cyclic equivalent density (ECD); Annular pressure reduction; depressurization tools; Suction-type ECD reduction tool; High temperature and high pressure

Online: 8 July 2024 (14:17:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0188.v1

Bioinspired Prosumer. Interaction of Bioinspired Design Methods in the Prosumer Scope

Ignacio López-Forniés, Laura Asión-Suñer, Alba Sarvisé-Biec

Subject: Engineering, Other Keywords: Bioinspired Design; Design methods interaction; Prosumer; Maker movement; Prototyping; Domestic fabrication

Online: 2 July 2024 (10:06:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0096.v1

Utilizing High-Resolution Imaging and Artificial Intelligence for Accurate Leaf Wetness Detection for the Strawberry Advisory System (SAS)

Akash Kumar Kondaparthi, Won Suk Lee, Natalia A. Peres

Subject: Engineering, Other Keywords: Convolutional Neural Networks; Disease Management; Fungal Diseases; Image Processing; Precision Agriculture

Online: 2 July 2024 (04:04:34 CEST)

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Preprint REVIEW | doi:10.20944/preprints202407.0044.v1

A Review on Data Capture, Storage, Processing, Interoperability, and Visualization for the Smart Supervision of Public Expenditure

Jaime Alonso Restrepo-Carmona, Juan C. Zuluaga, Manuela Velásquez, Carolina Zuluaga, Rosse M. Villamil, Olguer Morales, Ángela M Hurtado, Carlos A. Escobar, Julián Sierra-Pérez, Rafael E. Vásquez

Subject: Engineering, Other Keywords: Digital transformation; Smart government; Public expenditure; Fiscal control; Governmental accounting; Industry 5.0

Online: 1 July 2024 (10:58:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1992.v1

A Structured Light 3D Reconstruction Method Based on Neural Network

Chengcheng Li, Jiancong Chen, Xueli Chen

Subject: Engineering, Other Keywords: 3D reconstruction; neural network; structured light; phase and height calibration

Online: 28 June 2024 (12:08:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1920.v1

Fabrication of Graphene Oxide and Conductive Polymer on Cotton Fabric with Ultrasonic (US) Assisted Dyeing for Washable E-Textiles

Nazakat Ali Khoso, Arsalan Ahmed Sheikh, Sanam Irum Memon, Raja Fahad Qureshi, Abdul Malik Rehan Abbasi, Syed Qutaba, JiaJun Wang

Subject: Engineering, Other Keywords: Graphene, Graphene Oxide, reduced Graphene Oxide, Cold pad Dyeing, Wearable, E-textiles

Online: 27 June 2024 (11:00:40 CEST)

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Preprint REVIEW | doi:10.20944/preprints202406.1887.v1

Ammonia Emissions and Building-Related Mitigation Strategies in Dairy Barns: A Review

Serena Vitaliano, Provvidenza Rita D'Urso, Claudia Arcidiacono, Giovanni Cascone

Subject: Engineering, Other Keywords: livestock buildings; dairy cattle; gaseous emissions; emission rates; best available techniques

Online: 27 June 2024 (03:55:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1537.v1

Converting Candlenut Shell Waste into Graphene for Electrode Applications

Rikson Siburian, Kerista Tarigan, Yosia Gopas Oetama Manik, Fajar Hutagalung, Yatimah Alias, Yong Ching Chan, Boon Peng Chang, Jonathan Siow, Amanda Jiamin Ong, Jingfeng Huang, Suriati Paiman, Boon Tong Goh, Lisnawaty Simatupang, Ronn Goei, Alfred Iing Yoong Tok, Yahya Mohd Fakharul Zaman Raja, Fathan Bahfie

Subject: Engineering, Other Keywords: graphene; candlenut (Aleurites moluccanus) shell; Ce/graphene; carbon large scale production; energy storage electrodes

Online: 24 June 2024 (04:28:23 CEST)

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Preprint REVIEW | doi:10.20944/preprints202406.1400.v1

A Survey of Visible Light Communication Based Indoor Positioning Systems

Ruofan Wang, Guanchong Niu, Qi Cao, Chung Shue (Calvin) Chen, Siu-Wai Ho

Subject: Engineering, Other Keywords: visible light communication; indoor positioning system; photodetectors; survey

Online: 20 June 2024 (11:06:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1317.v1

An Evolutionary Hybrid Convolutional Deep Learning Network to Classify Paddy Leaf Disease

R Sherline Jesie, M S Godwin Premi

Subject: Engineering, Other Keywords: Paddy leaf disease; Segmentation; CLAHE filter; Convolutional Neural Network; Deep learning

Online: 19 June 2024 (05:53:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1167.v1

Stochastic Modeling of Human Civilization's Future Under Competing AI Influences

Richard Murdoch Montgomery

Subject: Engineering, Other Keywords: AI Evolution; Complexity; SPDEs; International Cooperation

Online: 18 June 2024 (12:08:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1179.v1

A Novel Security System Using a Physical Unclonable Framework with Modified Elliptic Curve Cryptography Algorithm.

Aiham Altaher, Alex Bystrov, Martin Johnston

Subject: Engineering, Other Keywords: PUF, Improved PUF, ECC, security, Cybersecurity, Authentication, Authorization, Encryption, Decryption.

Online: 18 June 2024 (11:55:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1067.v1

Effect of Flow Interference Between Cylinders Subjected to a Cross Flow Over a Cluster of Three Equally Spaced Cylinders

Jia Dong, Xianrui Shi, Gen hua Yan

Subject: Engineering, Other Keywords: three equally spaced cylinders; flow inference; spacing ratio; incidence angle; periodic flow regime

Online: 18 June 2024 (04:36:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0872.v1

Geological Insights from Porosity Analysis for Sustainable Development of Santos Basin’s Pre-Salt Carbonate Reservoir

Richard Guillermo Vásconez Garcia, SeyedMehdi Mohammadizadeh, Michelle Chaves Kuroda Avansi, Giorgio Basilici, Leticia da Silva Bomfim, Oton Rubio Cunha, Marcus Vinícius Theodoro Soares, Áquila Ferreira Mesquita, Seyed Kourosh Mahjour, Alexandre Campane Vidal

Subject: Engineering, Other Keywords: porosity-based facies; borehole image logs; machine learning; sustainability; dataset integration; pre-salt carbonate reservoir; carbonate petrophysics; carbon capture storage; sustainable geological resources

Online: 13 June 2024 (11:26:33 CEST)

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Carbonate reservoirs, influenced by depositional and diagenetic processes and characterized by features like faults and vugs that impact storage capacity, require more than traditional Borehole Imaging logs (BHI) for accurate porosity data. This data is essential for geological assessments, production forecasting, and reservoir simulations. This work aims to address this limitation by developing methods to measure and monitor the sustainability of carbonate reservoirs and exploring the application of sustainability principles to their management. The study integrates BHI and conventional logs from two wells to classify porosity-based facies within the Barra Velha Formation (BVF) in the Santos Basin. The methodology involves four steps: (i) analyzing conventional logs; (ii) segmenting BHI logs; (iii) integrating conventional and segmented BHI logs using Self-Organizing Maps (SOM); and (iv) interpreting the resulting classes. Matrix porosity values and non-matrix pore sizes categorize the porosity into four facies (A to D). Facies A has high non-matrix porosity with 14,560 small megapores, 5,419 large megapores, and 271 gigapores (71.9%, 26.76%, and 1.34% of the 20,250 pores, respectively). Facies B shows moderate non-matrix porosity with 8,669 small megapores, 2,642 large megapores, and 33 gigapores (76.42%, 23.29%, and 0.29% of the 11,344 pores, respectively) and medium matrix porosity. Facies C exhibits low non-matrix porosity with 7,749 small megapores, 2,132 large megapores, and 20 gigapores (78.27%, 21.53%, and 0.20% of the 9,901 pores, respectively) and medium matrix porosity. Facies D has low non-matrix porosity with 9,355 small megapores, 2,346 large megapores, and 19 gigapores (79.82%, 20.02%, and 0.16% of the 11,720 pores, respectively) and low matrix porosity. The novelty of this work lies in integrating data from two sources to classify porosity across the Pre-Salt reservoir interval, serving as a proxy for preliminary litho-facies identification without core data. This study advances our understanding of carbonate reservoir sustainability and heterogeneity, offering valuable insights for robust, sustainable reservoir characterization and management in the context of global environmental and geological changes.

Preprint ARTICLE | doi:10.20944/preprints202406.0336.v1

A Secure Data Aggregation Algorithm Based on Trust Mechanism

Changtao Liu, Jun Ye

Subject: Engineering, Other Keywords: underwater wireless sensor networks; trust mechanism; dynamic slicing; data aggregation

Online: 6 June 2024 (07:28:27 CEST)

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Preprint ESSAY | doi:10.20944/preprints202406.0053.v1

BAFormer: A Novel Boundary-Aware Compensation UNet-like Transformer for High-Resolution Cropland Extraction

Zhiyong Li, Youming Wang, Fa Tian, Junbo Zhang, Yijie Chen, Kunhong Li

Subject: Engineering, Other Keywords: high-resolution remote sensing image; boundary-aware; cropland; semantic segmentation

Online: 3 June 2024 (09:44:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.2063.v1

Performance of Machine Learning Models in Predicting Common Bean (Phaseolus vulgaris L.) Crop Nitrogen Using NIR Spectroscopy

Marcos Silva Tavares, Carlos Augusto Alves Cardoso Silva, Jamile Raquel Regazzo, Edson José de Souza Sardinha, Thiago Lima da Silva, Peterson Ricardo Fiorio, Murilo Mesquita Baesso

Subject: Engineering, Other Keywords: Algorithms; Reflectance; Precision Agriculture.

Online: 30 May 2024 (13:55:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.2024.v1

Decentralized Wastewater Treatment at the Giniginamar Plant: A Case Study in Efficient Resource Management

Jesús Cisneros-Aguirre, María Afonso-Correa

Subject: Engineering, Other Keywords: decentralized treatment; ultrafiltration membranes; water reuse

Online: 30 May 2024 (13:17:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1933.v1

On-target Deposition from Two Engine-Powered Sprayers in Medium Foliage Density Citrus Canopies

Peter Ako Larbi

Subject: Engineering, Other Keywords: air-assistance; airblast sprayer; application rate; fluorometry; spray penetration

Online: 29 May 2024 (07:45:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1726.v1

Enhancing Chinese Celery Production in IoT‐Controlled Hydroponic Systems: A Comparative Study on the Effects of Temperature and Light Regulation

Kusonsang Duangpakdee, Gittiwat Thananta, Somboon Sukpancharoen

Subject: Engineering, Other Keywords: Hydroponics; Smart agriculture; Internet of things; Sensor; Deep flow hydroponic

Online: 27 May 2024 (13:14:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1535.v1

Wearable Ecg Device and Machine Learning for Heart Monitoring

Zhadyra Alimbayeva, Chingiz Alimbayev, Kassymbek Ozhikenov, Nurlan Bayanbay, Aiman Ozhikenova

Subject: Engineering, Other Keywords: wearable ECG device; ECG monitoring system; ECG database; ECG signal; PQRST wave detection; machine learning

Online: 23 May 2024 (12:38:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1466.v1

Ant3D – a Fisheye Multi-camera System to Survey Narrow Spaces

Luca Perfetti, Francesco Fassi, Giorgio Paolo Maria Vassena

Subject: Engineering, Other Keywords: photogrammetry; multi-camera; fisheye; Ant3D; narrow spaces; tunnel

Online: 22 May 2024 (15:13:29 CEST)

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Preprint REVIEW | doi:10.20944/preprints202405.1253.v1

Water Footprint Reduction in Oil and Gas Refineries through Water Reuse: A Systematic Review

Fallah Hashemi, Stephanie Young, Hassan Hashemi, Tiina Leiviskä, Leila Shafea, Masoumeh Khedri, Babak Pouladi Borj, Abbas Sayyadi, Marjan Hajivand

Subject: Engineering, Other Keywords: oil refinery effluent; reclamation and reuse; wastewater treatment; systematic review

Online: 20 May 2024 (09:35:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0920.v1

Study on Automatic Classification Method of Malignancy Grade of Glioma Pathological Sections Based on Hyperspectral Multi-scale Spatial Spectral Fusion Features

Jiaqi Chen, Jin Yang, Jinyu Wang, Zitong Zhao, Mingjia Wang, Ci Sun, Nan Song, Shulong Feng

Subject: Engineering, Other Keywords: hyperspectral; glioma; grade; feature extraction; neural network

Online: 14 May 2024 (08:21:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0838.v1

Energy Consumption Analysis and Characterization of the Residential Sector in the US Towards Sustainable Development

Khaled Bawaneh, Samir Das, Md Rasheduzzaman

Subject: Engineering, Other Keywords: energy intensity; residential energy consumption; climate zones; heating-degree days (HDD); sustainable development

Online: 13 May 2024 (13:26:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0779.v1

Prediction of Rock and Mine Using Machine Learning Algorithms

Rohit Kumar, Shashank Mishra, Saurabh Kumar Ojha, Shubham Kumar, Ashwini Kumar Verma

Subject: Engineering, Other Keywords: Keywords- SONAR; Supervised Machine learning; KNN; SVM; logistic regression

Online: 13 May 2024 (12:30:51 CEST)

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ABSTRACT Underwater mines may destroy friendly submarines and marine habitats, compromising nonmilitary security. Finding credible information is vital to avoiding scams and spotting hazards. This article employs Supervised Machine literacy models to appropriately categorize subsea items like mines or gems based on Sonar sounds. Python constructs three double classifier models using Gorman and Sejnowski (1988) training data. Through the extraction of key aspects from the Sonar signals, such as spectral components and intensity, the models are able to match newly obtained data with the gemstone order or mine. Delicacy decreases the chance of misidentifications in nonmilitary activities. Machine literacy offers full validation that accommodates real-world Sonar data noise and unpredictability. Based on test results, the highest performing algorithm will deliver the required ratio of accuracy to perceptivity for the bracket task. Central keywords: vaticination model, bracket algorithms, supervised machine literacy, SONAR, and aquatic mining emphasize particular foundations. Improved sophistication in spotting undersea Mines let nonmilitary defence systems respond to proven threats only, preventing friendly submarines or sea life from unnecessary damage owing to false duplicity. This work is a promising start to real-world mine detection devices. Further developments may incorporate greater training data sets, real-time testing on subsea platforms equipped with integrated sonar, and optimization for the discovery of new mine-types. Overall, machine learning and Sonar vision decrease signal fluctuation and noise, making it easier to determine accurate boundaries for non-military applications and environmental protection. The recommended automated discovery technique must balance computational efficiency, generalizability, and delicacy. Prior a real crime, new quality control and verification procedures could boost trust even further.

Preprint ARTICLE | doi:10.20944/preprints202405.0765.v1

Exploring the Impact of Noise and Image Quality on Deep Learning Performance in Dxa Images

Dildar Hussain, Yeong Hyeon Gu

Subject: Engineering, Other Keywords: Dual-energy X-ray absorptiometry (DXA); Osteoporosis; Deep learning; segmentation; FCN; Noise; Imperfection; Filters

Online: 13 May 2024 (12:15:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0717.v1

Thermal Emittance Measurement of Very Low-Emissive Materials for Solar Thermal Applications

Eliana Gaudino, Umar Farooq, Antonio Caldarelli, Paolo Strazzullo, Daniela De Luca, Emiliano Di Gennaro, Marilena Musto, Roberto Russo

Subject: Engineering, Other Keywords: thermal emittance; calorimetric measurements procedure; selective solar absorbers; high vacuum flat plate collectors; very low thermal emittance

Online: 10 May 2024 (18:30:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0653.v1

Land-Based Multi-level Spatial and Developmental Policy Directions and Their Implications in the Marine Environment: Case Study Northern Aegean Sea, Greece

Anestis Gourgiotis, Dionisia Koutsi, Vasiliki Krommyda, Anastasia Stratigea

Subject: Engineering, Other Keywords: Land-Sea Interaction (LSI); Marine Spatial Planning (MSP); land-based spatial policy; multilevel spatial and developmental frameworks; Northern Aegean Sea

Online: 10 May 2024 (11:47:08 CEST)

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Preprint REVIEW | doi:10.20944/preprints202405.0520.v1

Review on the Axial Hydrokinetic Turbines. Field of Application and Efficiency Enhancement Methods

Rossen Sashov Iliev, Georgi Todorov, Konstantin Kamberov, Blagovest Zlatev

Subject: Engineering, Other Keywords: hydrokinetic power; turbine; runner; power curves; blades; experiments; water energy; ocean; rivers

Online: 8 May 2024 (17:42:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0365.v1

An Index Used to Evaluate the Applicability of Mid-long Term Runoff Prediction in a Basin Based on Mutual Information

Shuai Xie, Zhilong Xiang, Yongqiang Wang, Biqiong Wu, Keyan Shen, Jin Wang

Subject: Engineering, Other Keywords: mid-long term runoff prediction; total mutual information; applicability evaluation; artificial intelligence models; available information

Online: 7 May 2024 (10:32:04 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202405.0188.v1

Developing a Multi-Spectral Nir Led-Based Instrument for the Detection of Pesticide Residues Containing Chlorpyrifos-Methyl in Rough, Brown, And Milled Rice

Fatima R. Macadaeg, Paul R. Armstrong, Elizabeth B. Maghirang, Erin D. Scully, Daniel L. Brabec, Frank H. Arthur, Arlene D. Adviento-Borbe, Kevin F. Yaptenco, Delfin C. Suministrado

Subject: Engineering, Other Keywords: chlorpyrifos-methyl pesticide residue (CMPR); detection; LED; NIR; organophosphates; pesticide residue; rice

Online: 3 May 2024 (10:30:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0003.v1

Enhancing Research Reactor Safety: Insights from Independent Assessment and Uncertainty Analysis

Abdulkerim Kemal Edo, Sule Ergun

Subject: Engineering, Other Keywords: Research Reactor; Independent Assessment; Safety Assessment; COBRA-TF

Online: 1 May 2024 (04:26:07 CEST)

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This paper investigates the importance of enhancing the safety of research reactors, especially in newcomer countries where experience may be limited. The focus is on the role of Independent Assessment (IA) and assessors in addition to using Best Estimate plus Uncertainty (BEPU) approach in enhancing safety measures. By using the best estimate codes to perform uncertainty calculations, the BEPU technique logically connects nuclear thermal hydraulics and nuclear reactor safety. BEPU is based on an understanding of the phenomena related to the reactor state. Reactor circumstances, such as those related to operations or accidents, could be identified in this way. The IA process, involves experts supporting design, installation, safety analysis, decommissioning, and modification. In order to shape the use of IA process in this study feedback from nuclear professionals was collected through questionnaires, revealing a consensus on the necessity of qualified regulatory bodies in newcomer countries. Additionally, the questionnaires highlighted the potential benefits of IA, such as minimizing accident risks and providing valuable insights for future analyses. The results indicate a global anticipation of increased research reactor construction, particularly in newcomer countries. The study discusses the propagation of input uncertainties, emphasizing the importance of considering various factors and parameters in safety assessments. The BEPU method was applied by using the COBRA-TF code by modeling onset of nucleate boiling (ONB) conditions for VVR-K research reactor. For uncertain parameters; ±1% inlet/initial pressure, ±1% inlet temperature, and ±1% linear heat rate, the ONB temperature in the axial region with the average cladding temperature was calculated to be 114.44℃. Table 2 (our references) provided a value of 114.6℃. The close agreement between the reference value and the COBRA-TF result shows that the model used in the calculation of the reference value and the Chen relation used by COBRA-TF are compatible.

Preprint ARTICLE | doi:10.20944/preprints202404.1978.v1

Development an Artificial Vision for a Parallel Manipulator Using M2M Technologies

Arailym Nussibaliyeva, Gani Sergazin, Gulzhamal Tursunbayeva, Arman Uzbekbayev, Balzhan Bakhtiyar, Saltanat Yussupova, Sandugash Orazaliyeva

Subject: Engineering, Other Keywords: machine-to-machine communication; delta robot manipulator; artificial vision system; RGB; MASK-R-CNN

Online: 30 April 2024 (14:35:20 CEST)

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Это исследование сосредоточено на разработке системы искусственного зрения для гибкого дельта-робота-манипулятора и ее интеграции с межмашинной связью для оптимизации взаимодействия устройств в реальном времени. Эта интеграция направлена на увеличение скорости роботизированной системы и улучшение ее общей производительности. Предлагаемое сочетание системы искусственного зрения с межмашинной связью позволяет обнаруживать и распознавать цели с высокой точностью в режиме реального времени в ограниченном пространстве, предназначенном для позиционирования, дальнейшей локализации и выполнения производственных процессов, таких как сборка или сортировка деталей. . В данном исследовании RGB-изображения используются в качестве входных данных для алгоритма MASK-R-CNN, а результаты обрабатываются в соответствии с особенностями прототипа дельта-манипулятора робота. Данные, полученные от MASK-R-CNN, адаптированы для использования в системе управления дельта-роботом с учетом ее уникальных характеристик и требований к позиционированию. Технология M2M позволяет манипулятору робота быстро реагировать на изменения, например, на перемещение объектов или изменение их положения, что имеет решающее значение для задач сортировки и упаковки. Система была протестирована в условиях, близких к реальным, чтобы оценить ее производительность и надежность.

Preprint ARTICLE | doi:10.20944/preprints202404.1739.v1

A Region Monitoring Type Slitless Imaging Spectrometer

Rui Ouyang, Duo Wang, Longxu Jin, Tianjiao Fu, Zhenzhang Zhao, Xingxiang Zhang

Subject: Engineering, Other Keywords: spectrometer; imaging; region monitoring

Online: 28 April 2024 (08:00:58 CEST)

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In the contemporary world of science, continuous observation of specific fixed regions is required, awaiting the emergence of targets or phenomena within those areas to locate and identify them. Astronomy requires continuous monitoring of stars, swiftly pinpointing occurrences, such as flares, and acquiring their spectral data to aid identification. In military contexts, continuous observation of specific areas is essential for promptly locating enemy movements and obtaining target spectral data for deciphering enemy disguises. Additionally, continuous observation of experimental samples in biochemistry is mandatory to pinpoint localized changes and acquire spectral data from those areas. Hence, this paper develops a novel imaging spectrometer solution to monitor localized regions continuously. Specifically, this paper first elaborates on the developed instrument’s characteristics and optical structure, followed by optical design software simulations. The instrument has an F-number of 5, a focal length of 100mm, and a field of view covering the wavelength range from 400nm to 600nm. The optical path diagram indicates that the system’s dispersion and imaging images can be separated, meeting the system’s requirements. Besides, the Modulation Transfer Function (MTF) graph confirms that the image quality meets the requirements. Furthermore, a region-monitoring type imaging spectrometer was constructed to assess the instrument’s capability for spectral observation of fixed regions. The instrument can detect a fixed area, with the target placed within the detection area. Spectral data were successfully obtained by conducting image processing on the acquired images. The correlation coefficient between this data and reference data was as high as 0.9226, indicating the instrument’s successful measurement of the target’s spectrum. Thus, the developed instrument demonstrated that it can image the observed areas and acquire spectral data from targets within those regions.

Preprint ESSAY | doi:10.20944/preprints202404.1581.v1

Development and Experimental Study of an Experimental Setup for On-Line Vibrating Tube Liquid Densitometer

De fu Xu, Yao ning Sun, Wen lin Chen, Jun Mu, Peng Wang

Subject: Engineering, Other Keywords: online vibrating tube liquid densitometer; theoretical analysis; experimental setup; temperature; pressure

Online: 25 April 2024 (02:26:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1601.v1

Mitigating Threats in LoRaWAN Air Pollution Monitoring: Blockchain-Integrated Wireless Security for Azores Archipelago

Nick Nguyen, Sean Venezia, Joshua K Davis, Orlando Baiocchi, DC Grant

Subject: Engineering, Other Keywords: LoRaWan; Blockchain; Lightweight Scalable Blockchain; IoT devices; consensus mechanism; transaction processing

Online: 24 April 2024 (11:46:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1592.v1

Self-Powered Acceleration Sensor for Distance Prediction via Triboelectrifications

Zhengbing Ding, Dinh Cong Nguyen, Hakjeong Kim, Xing Wang, Kyungwho Choi, Jihae Lee, Dukhyun Choi

Subject: Engineering, Other Keywords: triboelectric nanogenerator; self-powered; acceleration sensor; distance prediction

Online: 24 April 2024 (09:56:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1590.v1

How to Cristallize a Glass with a Femtosecond Laser

Ruyue QUE, Matthieu Lancry, Maxime Cavillon, Bertrand Poumellec

Subject: Engineering, Other Keywords: laser induced crystallization in glass; crystallization of oxyde glasses; femtosecond laser

Online: 24 April 2024 (08:28:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1564.v1

A Non-parametric Approach-based Trade-off between Food System Efficiency and Robustness

Muna A. Al-Ansari, Hamad Nabeel, Galal M. Abdella, Tarek El Mekkawy, Adeeb A. Kutty

Subject: Engineering, Other Keywords: Data Envelopment Analysis (DEA); Food Systems Robustness; Food Security; Slacks Based Measure (SBM); Analytic Hierarchy Process (AHP)

Online: 24 April 2024 (03:43:17 CEST)

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Balancing the efficiency and robustness of food systems is a well-known trade-off process. Over-optimization of efficiency may lead to excessive use of resources. On the other hand, under-optimization of efficiency may lead to excessive waste of resources. Using non-parametric methods can help in developing actionable frameworks through which decision-makers and stakeholders can effectively balance and improve food systems' efficiency and robustness. Under this context, this paper presents a new structured approach integrating two well-suited non-parametric methods for analyzing and balancing the interconnection between the efficiency and robustness of food systems. This approach consists of three main steps. First, the slacks-based data envelopment analysis (SBM-DEA) is utilized to analyze the efficiency of five food robustness dimensions. Second, the weighted efficiency of these dimensions is computed and analyzed to provide an insight into their influence on the food system efficiency. Finally, two search methods were developed to identify opportunities for improving efficiency and robustness. The outcomes of these methods have been analyzed and validated to ensure their effectiveness and viability. The operational and mathematical properties of the proposed approach were evaluated using data from thirty-seven food-producing countries. The weights of the robustness dimensions in this study were determined using the analytic hierarchy process (AHP) method. The input matrix of the AHP was constructed using expert judgment and consultations with stakeholders. The results of this study have shown an appropriate level of applicability and effectiveness of the proposed approach. While the first search method provided valuable insights, the second method proved to be more effective in identifying the sources of inefficacy of robustness dimensions. Several conclusions have been drawn and reported with some recommendations for future research works.

Preprint ARTICLE | doi:10.20944/preprints202404.1531.v1

An Evaluation of the Primary Causative Factors Affecting Durability of Flow Diversion Simple Weirs in Muchinga Province in Zambia

Alex Lushikanda KABWE, Masahiro HYODO, Hidehiko OGATA, Yoshihiro Sagawa, Yoshinao ADACHI, Masayuki ISHII

Subject: Engineering, Other Keywords: farmer-led small-scale irrigation; operation and maintenance; catchment characteristics; durability assessment; local material; farmer perception

Online: 23 April 2024 (17:59:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1334.v1

Contactless X-band Detection of Steel Bars in Concrete: A Preliminary Numerical and Experimental Analysis

Adriana Brancaccio, Simone Palladino

Subject: Engineering, Other Keywords: Contactless GPR; X-band measurements; Steel bars detection; Reinforced concrete; Microwave imaging

Online: 23 April 2024 (10:45:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1147.v1

Polarization and Incident Angle Independent Multifunctional and Multiband Tunable THz Metasurface Based on VO₂

Rehmat Iqbal, Cao Jie, Ubaid ur Rahman Qureshi, Zia Ur Rehman, Naveed Jafar

Subject: Engineering, Other Keywords: Metasurface; Terahertz (THz); Polarization Conversion; Absorption; Polarization angle; vanadium dioxide (VO₂)

Online: 17 April 2024 (13:33:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0897.v1

Sensing Pre and Post Ecdysis of Tropical Rock Lobsters, Panulirus ornatus, Using Low-Cost Components and Novel Spectral Camera

Charles Robert Sutherland, Alan Henderson, Dean Giosio, Andrew Trotter, Greg Smith

Subject: Engineering, Other Keywords: lobster crustacean moulting low-cost spectroscopy

Online: 15 April 2024 (05:20:30 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/preprints202404.0795.v1

Design of a New Neuro-generator with Neuronal Module to Produce Pseudorandom and Perfectly Pseudorandom Sequences

María de Lourdes Rivas Becerra, Juan José Raygoza Panduro, Susana Ortega Cisneros, Edwin Christian Becerra Alvarez, Jaime David Rios Arrañaga

Subject: Engineering, Other Keywords: FPGA; generator; impulse neurons; neuro-generator; LFSR; NIST; pseudorandom

Online: 11 April 2024 (10:07:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0630.v1

A Comparative Study of Indentation Size Effect Models for Different Materials

Peina Wang, Yu Gao, Peihuan Wang

Subject: Engineering, Other Keywords: Indentation size effect; Existing model; Hardness; Indentation depth

Online: 10 April 2024 (11:34:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0701.v1

Discovery of Cloud Applications from Logs

Ashot Harutyunyan, Arnak Poghosyan, Tigran Bunarjyan, Marine Harutyunyan, Andranik Haroyan, Lilit Harutyunyan, Nelson Baloian

Subject: Engineering, Other Keywords: automated cloud management; application discovert; log analytics; recommender systems

Online: 10 April 2024 (10:02:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0524.v1

Sensors and Strategy for Anticollision Function dedicated to Augmented Electric Wheelchair

Clément Favey, René Farcy, Lucas Bogaert, Issa Berthe, Liam Jordan

Subject: Engineering, Other Keywords: anti-collision; obstacle avoidance; sensors; infrared; proximetry; detection; disability; handicap; ultrasound; augmented wheelchair; electric wheelchair

Online: 8 April 2024 (09:59:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0505.v1

Inspiring Sustainability in Undergraduate Engineering Programs

Tina Griesinger, Kenneth Reid, David Knight, Andrew Katz, John Somers

Subject: Engineering, Other Keywords: environmental sustainability; engineering education; learning experiences; career interests

Online: 8 April 2024 (08:30:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0412.v1

Fruit Harvest Helper: A Cross-Platform Mobile Application For Fruit Yield Estimation

Brandon Duncan, Duke Bulanon, Joseph Ichiro Jimeno Bulanon, Josh Nelson

Subject: Engineering, Other Keywords: precision agriculture; yield monitoring; farm management; apple detection; fruit detection; farming mobile application; yield monitoring mobile application; fruit yield estimation

Online: 5 April 2024 (12:48:06 CEST)

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Preprint REVIEW | doi:10.20944/preprints202210.0120.v2

A Comprehensive Study of Pineapple Cultivation: Morphology, Harvesting Challenges, and Mechanization Innovations

Mayanglambam Aarbindro Singh, Satish Devram Lande, Indra Mani Mishra, Jai Prakash, Tapan Kumar Kumar Khura, Susheel Kumar Sarkar

Subject: Engineering, Other Keywords: Pineapple cultivation; Morphology; Harvesting challenges; Mechanization; Agricultural innovation; Labor efficiency; Sustainable farming; Tropical fruit; Agricultural engineering; Hilly terrain; Northeastern India ;

Online: 25 March 2024 (08:38:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0589.v1

A Deep Learning Approach for Accurate Path Loss Prediction in LoRaWAN Livestock Monitoring

Mike Oluwatayo Ojo, Irene Viola, Silvia Miretti, Eugenio Martignani, Stefano Giordano, Mario Baratta

Subject: Engineering, Other Keywords: Internet of Things; propagation loss; smart agriculture; LPWAN; LoRa; remote sensing; link quality.

Online: 14 March 2024 (05:44:05 CET)

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The agricultural sector is amidst an industrial revolution driven by the integration of sensing, communication, and artificial intelligence (AI). Within this context, the internet of things (IoT) takes center stage, particularly in facilitating remote livestock monitoring. Challenges persist, particularly in effective field communication, adequate coverage, and long-range data transmission. This study focuses on employing LoRa communication for livestock monitoring in mountainous pastures in the north-western Alps in Italy. The empirical assessment tackles the complexity of predicting LoRa path loss attributed to diverse land-cover types, highlighting the subtle difficulty of gateway deployment to ensure reliable coverage in real-world scenarios. Moreover, the high expense of densely deploying end devices makes it difficult to fully analyze LoRa link behavior, hindering a complete understanding of networking coverage in mountainous environments. This study aims to elucidate the stability of Lora link performance in spatial dimensions and ascertain theextent of reliable communication coverage achievable by gateways in mountainous environments. Additionally an innovative deep learning approach was proposed to accurately estimate path loss across challenging terrains. Remote sensing contributes to land-cover recognition, while Bidirectional Long Short-Term Memory (Bi-LSTM) enhances the path loss model’s precision. Through rigorous implementation and comprehensive evaluation using collected experimental data, this deep learning approach significantly curtails estimation errors, outperforming established models. Our results demonstrate that our prediction model outperforms established models with a reduction in estimation error to less than 5dB, marking a 2X improvement over state-of-the-art models. Overall, this study signifies a substantial advancement in IoT-driven livestock monitoring, presenting robust communication and precise path loss prediction in rugged landscapes.

Preprint ARTICLE | doi:10.20944/preprints202403.0777.v1

Physical Experimental Study on the Wave Reflection and Run-Up of a New Ecological Hollow Cube

Haitao Zhao, Feiyue Ding, Junwei Ye, Huabing Jiang, Wei Chen, Weifang Gu, Gengfeng Yu, Qiang Li

Subject: Engineering, Other Keywords: Innovative armor block; hollow cube; wave run-up; wave reflection; design; physical model experiment

Online: 13 March 2024 (14:10:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0642.v1

Microstructural Approach Application for Morphological Changes Determination of Grape during Drying

Wijitha Senadeera, Jasmine Banks, Giuseppina Adiletta, Kate Brewer

Subject: Engineering, Other Keywords: Grape; drying; Micro-structure; SEM; Algorithm

Online: 11 March 2024 (17:58:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0163.v1

Optimizing Lane Departure Warning System Towards AI-Centered Autonomous Vehicles

Siwoo Jeong, Jonghyeon Ko, Sukki Lee, Jihoon Kang, Yeni Kim, Soon-Yong Park, Sungchul Mun

Subject: Engineering, Other Keywords: LDWS; autonomous vehicle; road markings; retro-reflectivity; environmental conditions; simulation framework

Online: 4 March 2024 (13:35:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1090.v2

Mangroves as Coastal Protection for Restoring Low-Energy Waterfront Property

Robert J. Weaver, Abigail L. Stehno

Subject: Engineering, Other Keywords: mangrove; wave attenuation; restoration; physical model; laboratory experiment; tree parameterization sediment stabilization

Online: 1 March 2024 (18:31:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1505.v1

Wide-Angle Repeat Pass Bistatic SAR Interferometry: A Geometrical Introduction

Fabio Rocca

Subject: Engineering, Other Keywords: SAR; interferometry; bistatic

Online: 27 February 2024 (10:10:21 CET)

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Preprint REVIEW | doi:10.20944/preprints202402.1412.v1

Advancements in Graphene-Based Hybrid Filler Polymer Composites: A Comprehensive Survey of Processing, Properties, and Influential Factors

Zulfiqar Ali, Saba Yaqoob, Jinhong Yu, Alberto D'Amore

Subject: Engineering, Other Keywords: ; Graphene; Polymers; Hybrid composites; Properties; Influencing factors; Applications

Online: 26 February 2024 (11:38:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1371.v1

The Influence of Geometry on the Energy Capture of a Point Absorber Wave Energy Converter in the Coast of Mexico

Alejandro Martinez Flores, Ayrton Alfonso Medina Rodríguez, Edgar Mendoza, Rodolfo Silva

Subject: Engineering, Other Keywords: Wave energy converter, heaving buoy, mild slope equation, hydrodynamic response, energy absorption.

Online: 23 February 2024 (11:14:41 CET)

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Preprint REVIEW | doi:10.20944/preprints202402.1342.v1

Technological Advancements in Cotton Agronomy: A Review and Prospects

Adeyemi Adeleke

Subject: Engineering, Other Keywords: Environmental impact; Hybrids; Remote sensing; ; Robotic platforms; Sustainable agronomy; Technological innovations; Precision cotton farming; Water management;

Online: 23 February 2024 (09:08:09 CET)

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