Institution Of Engineers Research Articles

Edge Computing Method for False Data Injection Attack Detection in Electromechanical Transient Simulation Grid

Because edge computing is close to the terminal, it has significant advantages of low latency and high-security realtime control and has huge application prospects in the current popular smart grid. Because its edge side is close to the terminal, it can also effectively avoid the risk of information leakage when control instructions or communication data are transmitted to remote cloud center servers over a long distance. However, edge devices have a greater probability of encountering false data injection attacks (FDIAs) from illegal terminals because of their proximity to terminals. The transient electromechanical situation of the smart grid due to FDIAs is analyzed under edge computing. Due to the characteristics that the status values of grid nodes have temporal correlation before and after and spatial correlation between nodes, the Long Short-Term Memory (LSTM) for training time series data is selected to predict the status values of grid nodes in advance. The FDIA detection method is also proposed based on the LSTM network. By calculating the predicted value at each historical moment and the root means square error (RMSE) of the system state estimation at that moment, the detection threshold of the scheme is calculated through the cumulative distribution function of RMSE. Simulation experiments are conducted on the Institute of Electrical and Electronics Engineers (IEEE)-14 node standard system. The detection rate is as high as 99.71%, which verifies the effectiveness of the proposed FDIA detection scheme. This paper studies the security threat of FDIA to the stable power system operation and provides theoretical analysis and practical reference for other power grid security protection strategies.

Preliminary Observations of the 5 April 2024 Mw 4.8 New Jersey Earthquake

Abstract On 5 April 2024, 10:23 a.m. local time, a moment magnitude 4.8 earthquake struck Tewksbury Township, New Jersey, about 65 km west of New York City. Millions of people from Virginia to Maine and beyond felt the ground shaking, resulting in the largest number (>180,000) of U.S. Geological Survey (USGS) “Did You Feel It?” reports of any earthquake. A team deployed by the Geotechnical Extreme Events Reconnaissance Association and the National Institute of Standards and Technology documented structural and nonstructural damage, including substantial damage to a historic masonry building in Lebanon, New Jersey. The USGS National Earthquake Information Center reported a focal depth of about 5 km, consistent with a lack of signal in Interferometric Synthetic Aperture Radar data. The focal mechanism solution is strike slip with a substantial thrust component. Neither mechanism’s nodal plane is parallel to the primary northeast trend of geologic discontinuities and mapped faults in the region, including the Ramapo fault. However, many of the relocated aftershocks, for which locations were augmented by temporary seismic deployments, form a cluster that parallels the general northeast trend of the faults. The aftershocks lie near the Tewksbury fault, north of the Ramapo fault.

Identification of organic contaminants in water and related matrices using untargeted liquid chromatography high-resolution mass spectrometry screening with MS/MS libraries

Nontargeted and suspect screening with liquid chromatography-high resolution mass spectrometry (LC-HRMS) has become an indispensable tool for quality assessment in the aquatic environment – complementary to targeted analysis of organic (micro)contaminants. An LC-HRMS method is presented, suitable for the analysis of a wide variety of water related matrices: surface water, groundwater, wastewater, sediment and sludge, including extracts from passive samplers and on-site solid phase enrichment, while focusing on the data processing aspect of the method. A field study is included to demonstrate the practical application and versatility of the whole process. HRMS/MS data were recorded following LC separation in both (ESI) positive and negative ionization modes using data dependent as well as data independent acquisition. Two vendor (Agilent's Personal Compound Database and Library and from National Institute of Standards and Technology) and one open (MassBank/EU) tandem mass spectral libraries were utilized for the identification of compounds via mass spectral match. The development of a novel software tool for parsing, grouping and reduction of MS/MS features in data files converted to mascot generic format (MGF) helped to substantially decrease the amount of time and effort needed for MS library search. While applying the method, in the course of the entire field study, 18771 detections (from 870 individual compounds) in total were recorded in 275 samples, resulting in 68.3 identified compounds per sample, on average. Among the top ten most frequently detected contaminants across all samples and sample types were pharmaceutical compounds carbamazepine, 4-acetamidoantipyrine, 4-formylaminoantipyrine, tramadol, lamotrigine and phenazone and industrial contaminants toluene-2-sulfonamide, tolytriazole, tris(2-butoxyethyl) phosphate and benzotriazole. Exploratory data analysis methods and tools enabled us to discover organic pollutant occurrence patterns within the comprehensive sets of qualitative data collected from various projects between the years 2018–2023. The results may be used as valuable inputs for future water quality monitoring programs.

Preface

2024 4th International Conference on Fluid and Chemical Engineering (ICFCE 2024) has been successfully held on July 26-27, 2024, in Wuhan China as a virtual event. Organized by Hubei Zhongke Institute of Geology and Environment Technology, ICFCE 2024 intends to invite worldwide famous scientists, experts, scholars, and researchers for academic presentations. ICFCE 2024 proceeding is a collection of outstanding submissions in the field of biofluid mechanics, chemically reacting fluids and combustion, computational fluid dynamics (CFD), experimental fluid mechanics, flow through porous media, fluid–solid interactions (FSI), geophysical fluid dynamics, granular/suspension flows, heat and mass transfer, hydrodynamics, physical, theoretical and computational chemistry, chemical engineering fundamentals, chemical reaction engineering, chemical engineering equipment design and process design, thermodynamics, catalysis & reaction engineering, particulate systems, crystallization, etc. Around 65 articles were selected from 146 submissions after peer-review, and authors and guests participated in ICFCE 2024 with keynote speeches, oral presentations and posters, promoting the communication among researchers and experts from institutes and universities, including University of Sharjah, The University of Manchester, Harbin Engineering University, China University of Petroleum (East China), Shanghai Maritime University, Jiangxi University of Science and Technology, Nagoya University, Marine Design & Research Institute of China, Tianjin Transportation Technical College, Okayama University, etc. Cordial gratitude is delivered to Technical Program Committee of ICFCE 2024 for the professional work on guarantying the high standard of conference as well as the proceedings. We believe the proceedings will enhance the exchange of ideas and state-of-art knowledge on Fluid and Chemical Engineering. Finally, we thank all the staff members at IOP Publishing for their valuable editorial support. Professor Omid Mahian Xian Jiaotong University, China Associate Professor Sébastien Déon University of Bourgogne-Franche-Comté, France List of Technical Committee is available in the pdf

Efficient sensitivity analysis of the thermal profile in powder bed fusion of metals using hypercomplex automatic differentiation finite element method

Rapid cyclic temperature fluctuation occurring in powder bed fusion of metals using a laser beam (PBF-LB/M) influences the formation of flaws in printed parts. Consequently, there is a pressing need to enhance the quality of printed parts by developing innovative methodologies that can predict thermal histories and help uncover the intricate relationships between process parameters and thermal profiles. Sensitivity Analysis (SA) emerges as an essential tool for this, offering the potential for process optimization and enhanced quality control. Nonetheless, conventional SA methodologies often incur in excessive computational costs and potential numerical approximation errors. To address this technical challenge, we present a novel method for SA that integrates the HYPercomplex-based Automatic Differentiation (HYPAD) technique with transient thermal simulations conducted via the finite element method (FEM). Leveraging this methodology, we efficiently and accurately perform SA for PBF-LB/M processes in a post-processing step. Compared to traditional methods like Finite Differences (FD), HYPAD-FEM required 96 % less computational time for obtaining sensitivities for 22 process parameters, under a comparative study conducted within the context of the 2018–02 AM benchmark of the National Institute of Standards and Technology. In summary, HYPAD-FEM offers superior efficiency and accuracy in SA over conventional methods, delivering the best sensitivity of a model without the need for step-size selection and problem or parameter-based implementations.

The Problem With National Institute of Standards and Technology Thermodynamics Tables in Continuum Mechanics.

Thermodynamics is a fundamental topic of continuum mechanics and biomechanics, with a wide range of applications to physiological and biological processes. This study addresses two fundamental limitations of current thermodynamic treatments. First, thermodynamics tables distributed online by the U.S. National Institute of Standards and Technology (NIST) report properties of fluids as a function of absolute temperature T and absolute pressure P. These properties include mass density ρ, specific internal energy u, enthalpy h=u+P/ρ, and entropy s. However, formulations of jump conditions across phase boundaries derived from Newton's second law of motion and the first law of thermodynamics employ the gauge pressure p=P-Pr, where Pr is an arbitrarily selected referential absolute pressure. Interchanging p with P is not innocuous as it alters tabulated NIST values for u while keeping h and s unchanged. Using p for functions of state and governing equations solves the problem with using NIST entries for the specific internal energy u in standard thermodynamics tables and analyses of phase transformation in continuum mechanics. Second, constitutive models for the free energy of fluids, such as water and air, are not typically provided in standard thermodynamics treatments. This study proposes a set of constitutive models and validates them against suitably modified NIST data.

RETRACTION: Thermoresponsive PEG-Coated Nanotubes as Chiral Selectors of Amino Acids and Peptides.

N. Kameta, J. Dong, H. Yui, "Thermoresponsive PEG-Coated Nanotubes as Chiral Selectors of Amino Acids and Peptides," Small 14, no. 15 (2018): 1800030, https://doi.org/10.1002/smll.201800030. The above article, published online on 13 March 2018 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the authors, Naohiro Kameta, Jiuchao Dong and Hiroharu Yui; the journal Editor-in-Chief, Neville Compton; and Wiley-VCH GmbH, Weinheim. The retraction has been agreed upon following an investigation into concerns raised by National Institute of Advanced Industrial Science and Technology (AIST), and also requested by authors due to image fabrication and falsification in electron microscopy images. In Figures 2a, 2b, 2c and S1b (Supporting Information), where the first author fabricated incorrect TEM images using data shown in Figures 2d and S1a (Supporting Information); all affecting the interpretation of the data and research results presented.

RETRACTION: Shrinkable Nanotubes for Duplex Formation of Short Nucleotides.

N. Kameta, H. Akiyama, "Shrinkable Nanotubes for Duplex Formation of Short Nucleotides," Small 14, no. 34 (2018): 1801967, https://doi.org/10.1002/smll.201801967. The above article, published online on 18 July 2018 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the authors, Naohiro Kameta and Haruhisa Akiyama; the journal Editor-in-Chief, Neville Compton; and Wiley-VCH GmbH, Weinheim. The retraction has been agreed upon following an investigation into concerns raised by National Institute of Advanced Industrial Science and Technology (AIST), and also requested by all authors due to image falsification in electron microscopy images. The TEM images of Figures 2a and 2c, and SEM images of Figures S1a and S1b (Supporting Information), where the first author falsificated incorrect scale bars; all affecting the interpretation of the data and research results presented.

Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single Anonymous • Conference submission management system: Morressier • Number of submissions received: 146 • Number of submissions sent for review: 95 • Number of submissions accepted: 65 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 44.5 • Average number of reviews per paper: 1.77 • Total number of reviewers involved: 32 • Contact person for queries: Name: Terasa Lei Email: academic@icfce-conf.org Affiliation: Hubei Zhongke Institute of Geology and Environment Technology

High-throughput LC-PDA method for determination of Δ9-THC and related cannabinoids in Cannabis sativa

Before the passage of the Agriculture Improvement Act of 2018, more commonly referred to as the 2018 Farm Bill, forensic laboratories were only required to perform qualitative measurements to confirm the identity of seized plant samples as Cannabis sativa (hemp or marijuana). The new law defines hemp at a federal level as Cannabis sativa containing 0.3 % or less Δ9-THC. Because forensic laboratories were not adequately equipped with the proper methods or training to meet these requirements, significant backlogs in casework resulted. The National Institute of Standards and Technology (NIST) responded by providing analytical tools to the forensic community. An accurate and precise method was previously developed to determine Δ9-THC, Δ9-THCA, and total Δ9-THC in botanical samples based on liquid chromatography with photodiode array detection (LC-PDA). Cannabis plant samples were ground and extracted with methanol using routine laboratory equipment. The original sample preparation procedure was time-consuming, taking over 70 min. The method described here has been optimized with the time required for sample preparation and LC-PDA analysis has been reduced to less than 30 min.

RETRACTION: Supramolecular Nanotube Reactors for Production of Imine Polymers with Controlled Conformation, Size, and Chirality.

N. Kameta, W. Ding, "Supramolecular Nanotube Reactors for Production of Imine Polymers with Controlled Conformation, Size, and Chirality," Small 15, no. 19 (2019): 1900682, https://doi.org/10.1002/smll.201900682. The above article, published online on 28 March 2019 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the authors, Naohiro Kameta and Wuxiao Ding; the journal Editor-in-Chief, Neville Compton; and Wiley-VCH GmbH, Weinheim. The retraction has been agreed upon following an investigation into concerns raised by National Institute of Advanced Industrial Science and Technology (AIST), and also requested by all authors due to image falsification in electron microscopy images. The SEM and TEM images of Figure 6a, 6b-1, 6b-2, 6c-1 upper left, 6c-1 upper right, 6c-1 lower, 6c-2, 6d, 6e, and 6f, where the first author falsificated incorrect scale bars; all affecting the interpretation of the data and research results presented.

Characterization of population connectivity for enhanced cross-border surveillance of yellow fever at Mutukula and Namanga borders in Tanzania

IntroductionYellow fever (YF) remains a public health threat in Sub-Saharan Africa and South America with an estimated 200,000 cases and 30,000 deaths annually. Although the World Health Organization considers Tanzania as low risk for YF because no YF cases have been reported, the country remains at alert to importation of the virus due to ecological factors and high connectivity to high-risk YF areas in other countries. PurposeThis study aimed to identify points of interest with connectivity to high-risk YF areas to guide preparedness efforts in Tanzania. MethodsUsing the Population Connectivity Across Borders toolkit, the Nelson Mandela African Institution of Science and Technology (Department of Health and Biomedical Sciences) in collaboration with the Tanzania Ministry of Health and the Centers for Disease Control and Prevention implemented 12 focus group discussions with participatory mapping in two high-risk borders of Mutukula and Namanga. ResultsParticipants identified 147 and 90 points of interest with connectivity to YF risk areas in Kenya and Uganda, respectively. The identified locations are important for trade, fishing, pastoralism, tourism, health-seeking, agriculture, mining, religious activities, education, and cross-border marriages. ConclusionThe Tanzania Ministry of Health used the results to update cross-border surveillance and risk communication strategies and vaccination guidelines to prevent the importation of YF into Tanzania.

Newborns with microcephaly in Brazil and potential vertical transmission of Oropouche virus: a case series

Oropouche fever, an orthobunyavirus disease endemic in Brazilian Amazon, has caused many febrile epidemics. In 2024, an epidemic of Oropouche fever spread in Brazil, with more than 7930 cases reported between Jan 1 and Aug 31. Infections in pregnant people have suggested the possibility of negative fetal consequences, therefore we tested newborns with microcephaly for known congenital pathogens and Oropouche virus (OROV). In this case series, we assessed historical cases of infants born with microcephaly, arthrogryposis, and other congenital malformations without a confirmed cause and their mothers for potential OROV congenital infections. The study population consisted of infants born in Brazil with samples from 2015-21 and 2024. Serum and cerebrospinal fluid (CSF) from this case series were analysed for: syphilis, toxoplasmosis, rubella, cytomegalovirus, herpes simplex, HIV, Zika, dengue, and chikungunya. Individuals that were negative for these pathogens were then tested for OROV. Pathogen testing included ELISA and haemagglutination inhibition testing for antibodies and RT-PCR for virus RNA. We tested 68 samples from 65 historical cases of congential malformations and three cases from 2024. All cases were from ten states in Brazil. Three historical cases tested positive for OROV and 62 historical cases tested negative. The three cases from 2024 all tested positive for OROV. Of the positive cases, five were female and one was male. Not all pathogens were tested for each case, and some did not have maternal samples available. One of the newborns (case 6) died aged 47 days and tissue samples were tested by real-time RT-PCR, histopathology, and immunohistochemistry assays. One other newborn died in 2016 but no post-mortem samples were available. OROV IgM was detected in five of five newborn CSF samples, and five of five newborn serum samples. Four of five maternal serum samples were positive for OROV IgM. One of four newborn CSF samples (case 6 at age 44 days) was OROV positive by real-time RT-quantitative PCR and 0 of four newborn serum samples were positive, as were 0 of three maternal serum samples. Case 6 had major tissue changes of the brain macroscopically and microscopically, including necrotic and apoptotic changes of neurons, microglia and astrocytes, vacuolisation, and tissue atrophy. OROV RNA was detected in brain, lungs, kidney, CSF, and pleural fluid; OROV antigens were found in CNS, liver, kidney, heart, and lung, mainly in neurons and microglia and also in endothelial cells, suggesting vasculitis. We detected OROV IgM in six of 68 newborns with microcephaly of unknown cause. One infant who died had OROV RNA and antigen in several tissues, including the brain. The possibility of OROV vertical transmission and potential fetal harm must be investigated with urgency. The evidence presented here does not completely confirm vertical transmission or congenital malformations due to OROV, but thorough case finding and detailed investigation of maternal or fetal OROV infection is a priority. Evandro Chagas Institute, Secretaria de Vigilância em Saúde e Ambiente, and Ministry of Health and National Institute of Science and Technology for Emerging and Reemerging Viruses.

Peer Review Statement

Abstract All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single Anonymous • Conference submission management system: Morressier • Number of submissions received: 13 • Number of submissions sent for review: 12 • Number of submissions accepted: 8 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 61.5 • Average number of reviews per paper: 1.09 • Total number of reviewers involved: 10 • Contact person for queries: Name: Thomas Klein Email: thomas.klein@ait.ac.at Affiliation: LKR Light Metals Technologies, AIT Austrian Institute of Technology

Prevalence and Pathologic Characterization of Mouse Kidney Parvovirus in Sentinel CD1 Mice.

Mouse kidney parvovirus (MKPV) infection can cause significant morbidity and mortality by inducing moderate to severe inclusion body nephropathy and kidney fibrosis in aged immunodeficient mice. However, MKPV infection in immunocompetent mice is associated with histopathologic findings ranging from absent to minimal or moderate lymphoplasmacytic interstitial nephritis without inclusion body in most cases. We surveyed the prevalence of MKPV via PCR from August 2019 through January 2021, using feces, kidneys, and livers collected and pooled from 2 sentinel mice [Crl:CD1(ICR)] (CD1) per surveillance cage (a total of 212 cages). CD1 mice used as dirty-bedding sentinels were housed for 6 mo in a separate cage on the same rack as colony mice used in research at the Massachusetts Institute of Technology and at the Whitehead Institute for Biomedical Research. MKPV quantitative PCR positivity was 16.04%, 14.62%, and 10.02% for feces, kidney, and liver, respectively. The aggregate prevalence of MKPV was 22.64% (48 of 212 samples). Thirty-three of 103 rooms (32.04%) were MKPV positive. MKPV-positive kidneys had more severe chronic lymphoplasmacytic interstitial nephritis (CLIN) than MKPV-negative kidneys; however, there was no significant difference in hepatic lesions between MKPV-positive and -negative livers. Although no overt intranuclear inclusion body nephropathy was noted in MKPV-positive CD1 kidneys, MKPV RNA was sporadically detected within tubular epithelial cells in MKPV-positive kidneys but not in MKPV-positive livers. Our study indicates that MKPV can be easily transmitted through soiled bedding. It highlights that CD1 mice can be used as sentinels to detect MKPV, emphasizing the importance of monitoring MKPV distribution using quantitative PCR in sentinel mice if MKPV needs to be excluded from a colony. Importantly, as MKPV infection is associated with mild to moderate CLIN, MKPV can potentially confound the interpretation of in vivo biomedical data.

Preface

The International Conference on Artificial Intelligence Technologies and Applications (ICAITA) is an annual conference focusing on the research areas of and related to artificial intelligence technologies and applications. It aims to establish a broad and interdisciplinary platform for experts, researchers, and students worldwide to present, exchange, and discuss the latest advance and development in related disciplines and domains. This volume contains the papers collected from 2024 6th International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2024), held during June 14th to 16th, 2024 in Changchun, China. The topics cover Artificial Neural Networks, Neuroinformatics, Computational Theories of Learning, Machine Learning, Fuzzy Logic and Methods, etc. Each of these papers has gained a comprehensive review by the editorial team and professional reviewers, and has been examined and evaluated for its theme, structure, method, content, language, and format. Cooperating with prestigious universities and institutes, ICAITA 2024 organized a series of programs including welcoming speech, keynote speech, oral presentation, poster presentation, academic discussion, among others, bringing together about 150 participants worldwide. In the keynote speech session, eminent speakers from top universities and institutions including Haijun Zhang (National Outstanding Youth Fund recipient, IEEE Fellow, Professor of Beijing University of Science and Technology), Xiangjian He (National-level Talent, Chair Professor of the University of Nottingham Ningbo China), Qinmin Yang (Zhejiang University), and Dongjing Miao (Harbin Institute of Technology) shared their researches and fully discussed and exchanged the development dynamics and research direction on “Artificial Intelligence Technologies and Applications.” Their presentations, based on cutting-edge research, offered unique perspectives on the forefront of computer science development, and explored future industry trends. Active participation and enthusiastic exchanges amongst experts and scholars enriched the discussions, with the sharing of novel research findings, practical experiences, and technological innovations. The 2024 6th International Conference on Artificial Intelligence Technologies and Applications has established a high-quality international academic exchange and cooperation platform for scholars and practitioners working in the fields related to artificial intelligence technologies and applications, linking the paths among science and technology, talents, industry, service, and innovation, stimulating the innovation vitality of researchers in universities and institutes, promoting the innovation and application of artificial intelligence technologies, and fostering the development of relevant industries. On behalf of the conference committee, we would like to give sincere gratitude to all the authors and speakers who have made their contributions to ICAITA 2024, editors and reviewers who have guaranteed the quality of papers with their expertise, and the committee members who have devoted themselves to the success of the conference. We believe that this series will continue, and we hope to receive more innovative and interesting submissions for this series of conference in the coming years. The Committee of ICAITA 2024 List of Committee Member is available in this Pdf.

Cluster Preface: Synthesis of Energetic Molecules

Haifeng Huang is a professor at Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, P.R. China. He received his Ph.D. in 2012 from Beijing Institute of Technology (BIT) under the guidance of Prof. Zhiming Zhou. Then, he joined Shanghai Institute of Organic Chemistry to start his academic career. His research interests mainly focus on the design and synthesis of new energetic materials. Jun Yang received his Ph.D. at Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences in 2005 under the supervision of Prof. Minzhi Deng. He is now a professor of the Shanghai Institute of Organic Chemistry, CAS. His research interests primarily include the synthesis of energetic materials and energy regulation materials for solid and liquid propellants.

Design and Implementation of a Ka-band Folding Rib Mesh Antenna for CubeSats

In the past decade, CubeSats have undergone a revolution, moving from university research projects to enabling industry opportunities and government missions. In 2014, the Jet Propulsion Laboratory, California Institute of Technology (JPL/Caltech) initiated a research and technology development effort to advance CubeSat communication capabilities. One of the critical thrusts was the Ka-band parabolic deployable antenna (KaPDA). This antenna started with the ambitious goal of fitting a 42 dB, 0.5 m, 35 GHz antenna in a 1.5U canister. At that time, there had been minimal development in high-gain CubeSat antennas, critical for high-data-rate communications and remote sensing science. A Ka-band high-gain antenna would provide a 10,000 times increase in data communication rates over an X-band patch antenna and a 100 times increase over state-of-the-art S-band parabolic antennas. This paper discusses designing, building, integrating, and operating the flight antenna from a mechanical perspective, its final performance, and lessons learned. KaPDA enabled the RainCube mission, the first Earth Science CubeSat to have an active instrument. RainCube was launched in May 2018, making KaPDA the second deployable parabolic antenna to fly on a CubeSat and the first to operate in Ka-band, enabling follow-on opportunities for high-rate antenna communications and remote sensing science.

Preface

It is our honor to present the Proceedings of the 2024 3rd International Conference on Mechanical, Aerospace Technology and Materials Application (MATMA 2024). MATMA 2024 is an event that brings together the world’s leading experts and scholars in the field of mechanical and aerospace technology, and is also an excellent platform for sharing the latest research results and discussing the application of cutting-edge technologies in related domains. The conference aims to discuss the latest progress and challenges in mechanical engineering, aerospace technology and materials applications, and to promote the innovation of related theories and technological breakthroughs. By building this international exchange platform, we expect to promote extensive cooperation among academics, strengthen the integration of industry, academia and research between universities and enterprises, jointly address the key issues of industry development, and promote the sustained and healthy development of relevant fields. MATMA 2024 brought together top scholars and researchers from all over the world, who shared their latest research results and practical experiences in mechanical engineering, aerospace technology and materials applications during this conference. It is worth mentioning that the conference specially invited Duc Truong Pham (Professor from University of Birmingham, UK and Member of the Royal Academy of Engineering), Eckart Meiburg (Professor from University of California Santa Barbara, US), Alam Md. Mahbub (Professor from Harbin Institute of Technology (Shenzhen), China), Yufei Gao (Professor from Shandong University, China), Caixu Yue (Professor from Harbin University of Science and Technology, China), Taimoor Asim (Robert Gordon University, Aberdeen, UK), etc., to give the keynote speeches. In-depth exchanges and discussions around aerodynamics and aeroelasticity, aerospace design, testing and performance, numerical control technology, noise vibration and harshness, combustion and emission control, advanced manufacturing technology, as well as deformation and fracture of materials, materials processing, high-performance materials, etc. were carried out during the conference. Through these communications, we have jointly explored the current and future development direction of mechanical engineering, aerospace technology and materials applications, stimulated innovative thinking, and promoted academic exchanges and cooperation. This Proceedings of MATMA 2024 contains excellent academic papers submitted from all around the world, which not only cover the basic theories, structure design and analysis, and operation and evaluation systems of aerospace, but also discuss in depth the applications and innovations of mechanical technologies and high-performance materials. Each paper has been strictly reviewed and screened to ensure its academic value and practical application value. We would like to express our sincere thanks to all the participants for their enthusiastic participation and active contributions, to the organizers and committee members for their careful organization and thoughtful arrangements, and to all the experts and scholars who took the time out of their busy schedules to attend the conference and bring us wonderful speeches and profound insights. We believe that with the joint efforts of all of you, MATMA 2024 will become an important milestone in promoting the development of mechanical and aerospace technology and materials applications. The Committee of MATMA 2024 List of Committee Member is available in this pdf.

The Role of the National Service Scheme in Fostering Social Skills Among Engineering Graduates

Abstract : This study embarks on a captivating journey into the realm of National Service Scheme (NSS) engagement, delving deep into its impact on the multifaceted landscape of social skills development among engineering graduates. With data meticulously collected from engineering graduates, who graduated from NMAM Institute of Technology between the years 2021 and 2023, we employ rigorous statistical analysis, guided by SmartPLS 4.0, to unveil the intricate connections between NSS engagement outcomes, vital mediating variables, and the ultimate manifestation of these synergies in the form of overall social development. Through a panorama of hypotheses testing, mediation analysis, and meticulous exploration, our findings offer compelling insights into the transformative potential of NSS engagement. These revelations extend a resonating call to educators, employers, and policymakers to collaboratively nurture an empowered generation poised to flourish within a socially interconnected world. Keywords: NSS; Social Skills; Engineering; Graduates; Community Service.