Journal of Technology & Innovation (JTIN)

RESEARCH ON NUMERICAL SIMULATION OF PCCI ENGINE: A REVIEW

2025-03-14T10:09:23+07:00

The global environment is being affected by the use of fossil fuels to provide energy for internal combustion engines (ICE) due to a large amount of CO2 emission. Specific toxic substances are NOx, and CO, soot, particulate matter that exists in the environment at high densities while having a global impact. The automotive industry of countries worldwide is constantly changing and evolving to discover new solutions that reduce fuel use while developing cleaner and more advanced combustion methods, which as a lowtemperature combustion engine (LTC). This study uses computational fluid dynamics (CFD) to understand partial pre-mixed compression combustion (PPCI), with HCCI and RCCI being advanced low-temperature combustion concepts. Lowering the average combustion temperature is an advantage of PCCI; it optimizes CO and NOx emission rates while maintaining high thermal efficiency. Investigate the intake pattern, including flame length, mixing pulse, and intake air volume, to determine the importance of that factor for oxidation using the LES. Studies have been performed using RANS and LES models to stimulate mixing and combustion.

IMPROVED MAN-MACHINE INTERACTION DESIGN OF MOULD CASE CIRCUIT BREAKER BASED ON QFD

2025-03-14T10:09:24+07:00

This paper aims to improve and study the man-machine interaction defects of mould case circuit breaker. By changing the interface information layout, the interface information transmission effect was enhanced, with user pressure in information reading reduced. User demand information was acquired based on interview method, observation method and literature reading method. Information was classified by user demand levels according to KJ (affinity diagram) method, with its weight calculated by AHP (analytic hierarchy process) method. Finally, user demand was converted into design requirement by QFD (Quality Function Deployment) method and product improvement design function model was built. Guided by user demand, this paper rationally analyzes the man-machine interaction pain points in mould case circuit breaker, and takes this as the improvement and innovation points to build a functional design model for the improved design of man-machine interaction of mould case circuit breaker, hoping to improve the working efficiency of users, and provide new ideas for the improvement research on man-machine interaction of similar products.

STUDY OF SECURITY FEATURES PRESENT IN NEPALI PASSPORT

2025-03-14T10:09:24+07:00

Security features present on Nepali passport are examined with the help of Video Spectral Comparator. Mainly examination is carried out with application ultra-violet light, normal light, oblique light and transmitted light. We obtain different types of security features including florescence, ghost image, binding thread, optical fiber, punched number, barcode, micro-printing, watermark, emboss etc. The main aim of this work is to provide information about security features present in Nepali passport so that concern agencies as well as general public to distinguish between genuine and fake passport.

ASSESSMENT OF THE CURRENT SITUATION OF SALINITY INTRUSION IN TAN PHU DONG AND GO CONG DONG DISTRICTS, TIEN GIANG PROVINCE AND PROPOSAL OF SOLUTIONS

2025-03-14T10:09:24+07:00

The research used statistical analysis methods, compared, and simulated the MIKE model, predicted the risk of salinity intrusion according to the scenarios RCP 4.5 and RCP 8.5 to assess the current situation of salinity intrusion and its impact on Go Cong Dong district and Tan Phu Dong district. After conducting the study "Assessing of the current situation of salinity intrusion in Tan Phu Dong and Go Cong Dong districts of Tien Giang province and proposing solutions", the researchers achieved the following results: the situation of salinity intrusion in both 2 districts became more complicated, salinity intrusion came early, high salinity encroached the fields. In 2020, salinity intrusion came 1 month early, the highest salinity level reached 25.4
g/l; Regarding the risk prediction of salinity intrusion: according to the scenarios of RCP 4.5 and RCP 8.5 through the periods of 2030, 2050, 2070, 2100, the salinity level in the studied area tends to increase gradually, the lowest salinity will be from 4 to 6 g/l, the salinity in the whole districts of Tan Phu Dong and Go Cong Dong will exceed 12 g/l in 2100. Regarding the assessment of the impacts of salinity intrusion to the main local industries including agriculture - forestry – fishery, the fields of land, water, and ecosystem resources, the agriculture and water resources sectors are most severely affected.

CONSIDERATION OF DAMAGING FREQUENCY RANGES OF STRUCTURAL EXCITATION FOR TESTING LARGE BATTERY PACKS IN BATTERY ELECTRIC VEHICLES (BEV)

2025-03-14T10:09:24+07:00

Realistic vibration testing of large floor mounted Battery Pack, sometimes called Rechargeable Energy Storage Systems (RESS), for Batterie Electric Vehicles (BEV) is important for developing safe new battery structures. On the other hand, the requirements for realistic replications of worst-case environments in a lab usually demand costly and complex infrastructure. A key factor to the quality of environment replication and an important cost driver due to the increasing complexity is the needed frequency range the equipment must be able to replicate. The contribution analyzes data from a first pre-test campaign to demonstrate a feasible process of deriving frequency band requirements for the test equipment. The key method used here is the Fatigue Damage Spectrum (FDS) to analyze the potential damage a vibration could cause in certain failure mechanism of interest, particularly “weighted” by the corresponding double-logarithmic dependance of stress magnitude over occurring load cycles. This enables a good assessment of how much damage could be induced in certain frequency ranges for a well justified and cost-effective choice on the needed test equipment.

AN EXPLORATORY STUDY OF HOW EMOTION TONE PRESENTED IN A MESSAGE INFLUENCES ARTIFICIAL INTELLIGENCE (AI) POWERED RECOMMENDATION SYSTEM

2025-03-14T10:09:24+07:00

This innovative study aims to explore how emotion tone presented in a message influences the judgement of Artificial Intelligence (AI) bots. We established a scenario by using vacation rental introduction as input message to conduct experiments to explore the influences. Our findings suggest that AI bots demonstrate preferences on the input message presented in positive tones rather than input message with negative tones. Our pioneering study can serve as a crucial starting point for future studies, in particular opening up fresh avenues for future research endeavours and engenders discussions and debates concerning the development of recommendation system.

A COMPREHENSIVE REVIEW OF IT AUDIT METHODOLOGIES IN THE AGE OF QUANTUM COMPUTING

2025-03-14T10:09:24+07:00

The emergence of quantum computing presents a profound challenge and opportunity for information technology (IT) audit methodologies and IT security. Quantum computing's potential to break classical encryption methods and its promise of exponential computational power necessitate a proactive response. This comprehensive review explores the fundamentals of quantum computing, the vulnerabilities of classical encryption, the transition to quantum-safe encryption, and the role of IT auditors in navigating this quantum landscape. Additionally, we address emerging quantum technologies, ethical considerations, and the interplay between quantum computing and IT security. To thrive in the quantum era, organisations are advised to plan for quantum-safe transitions, invest in quantum-resistant cryptography, monitor evolving regulations, develop quantum-ready workforces, integrate Quantum Key Distribution (QKD), and adopt a long-term security strategy. Adapting IT audit methodologies to the quantum era requires a multidisciplinary approach, and the recommendations provided here aim to guide organisations in securing their digital assets in this transformative quantum-empowered future.

NANOTECHNOLOGY IN U.S. MEDICAL DIAGNOSTICS: A COMPREHENSIVE REVIEW

2025-03-14T10:09:25+07:00

This comprehensive review evaluates the advancements, potential, and ethical implications of nanotechnology in medical diagnostics within the U.S. healthcare system. The primary objective was to assess how nano-tools are revolutionizing early disease detection and management. The methodology involved a systematic review of peer-reviewed literature, focusing on studies published between 2000 and 2023. Data sources included academic databases such as PubMed, Scopus, and Web of Science, supplemented by secondary sources like journals and conference proceedings. The study emphasized the historical development of nanotechnology in diagnostics, current innovations, and future prospects in the field. Key findings reveal significant advancements in nano-diagnostic tools, highlighting their increased sensitivity and specificity in early disease detection. Innovations such as nano-enabled imaging and targeted drug delivery systems have shown potential in personalizing patient care. However, the study also identified challenges, including ethical concerns related to patient privacy, data security, and the need for comprehensive regulatory frameworks. The review concludes that while nanotechnology in diagnostics offers transformative potential, it also presents unique challenges. Recommendations for industry leaders and policymakers include fostering innovation within ethical and safety boundaries, investing in research, and establishing clear regulatory guidelines. Future research directions emphasize long-term efficacy and safety studies, costeffective manufacturing processes, and exploring new applications in disease management. This study underscores the pivotal role of nanotechnology in shaping the future of healthcare diagnostics.