Field Of Technology Research Articles

Study on Infrared (IR) Camouflage Using Mylar in the Defense Sector

Abstract: This project investigates the feasibility of utilizing Mylar, a highly reflective polyester film, for infrared (IR) camouflage in the defense sector. Through a comprehensive analysis of Mylar's optical properties, including its reflectivity and reflectance, this study aims to assess the material's potential for reducing thermal signatures and enhancing stealth capabilities of military assets. The research involves theoretical and numerical analysis to evaluate Mylar's performance under various environmental conditions, such as temperature extremes, humidity, and exposure to ultraviolet (UV) radiation. Furthermore, the project explores the integration of Mylar-based IR camouflage into existing defense systems, including vehicle coatings, personnel gear, and tactical equipment. Recommendations for the deployment and optimization of Mylar-based camouflage solutions are provided, addressing factors such as material selection, camouflage design, compatibility with sensor systems, and logistical support. The findings demonstrate Mylar's efficacy in decreasing IR detectability, providing a cost-effective and versatile solution in IR camouflage. This research contributes significantly to the field of defense technology, offering practical insights and paving the way for further advancements in stealth and counter-detection measures in military applications.

Direct reconstruction of tissue temperature fields during thermal therapy by dynamic response matching and steady-state correction

In the field of oncology thermotherapy technology, online and real-time reconstruction of biological tissue temperature field is a fundamental work with important practical needs. In this paper, we proposed a new method for direct reconstruction of biological tissue temperature field by dynamic response feature matching and steady-state correction. Based on the bioheat transfer equation, the step response model of tissue temperature field during thermal therapy is established, and the dynamic response eigenvectors of biological tissue temperature and the steady-state gain of temperature response are determined offline. According to the optimal matching principle between the temperature dynamic response of the observation point and the internal space point of tissue, the optimal matching matrix of the dynamic response features between the observation point temperature and the internal temperature field of tissue is determined with the use of the dynamic response eigenvectors. Further, through the weighted synthesis of observation point temperature response by using the optimal matching matrix of dynamic response features, the tissue transient temperature field pre-estimation model is established. Finally, by correcting the tissue temperature field pre-estimation model with steady-state gain correction factor, the direct reconstruction scheme of temperature field based on dynamic response feature matching and steady-state gain correction is established. In this work, the non-destructive reconstruction of the internal temperature field of biological tissues during laser-induced thermal therapy is achieved based on the above direct reconstruction scheme. Numerical simulation experiments are performed to investigated the effects of pre-estimation time domain, the number of measurement points, laser irradiation form and measurement error on the temperature field reconstruction results.

Estimating patent value in the United States and Japan

Patents contribute to economic development; therefore, estimations of patent value are significant in measuring their impact on the economy. With this in mind, this article discusses estimations of patent value with the renewal model developed by several economists. Targeted patents are those issued in the United States and Japan from 1990 to 2010. In addition, the study examines patent values for several technology fields and considers which technology field should be the focus for the United States and Japan. Moreover, this article compares estimations based on the renewal model versus those based on other data such as sales, trade prices, or trials and analyzes how close this model's estimations are to the real values. This article's results demonstrate that the renewal model is useful for evaluating patents overall and analyzing technological trends from a patent perspective.

An International Data-Based Systems Agency IDA: Striving for a Peaceful, Sustainable, and Human Rights-Based Future

Digital transformation and “artificial intelligence (AI)”—which can more adequately be called “data-based systems (DS)”—comprise ethical opportunities and risks. Therefore, it is necessary to identify precisely ethical opportunities and risks in order to be able to benefit sustainably from the opportunities and to master the risks. The UN General Assembly has recently adopted a resolution aiming for ‘safe, secure and trustworthy artificial intelligence systems’. It is now urgent to implement and build on the UN General Assembly Resolution. Allowing humans and the planet to flourish sustainably in peace and guaranteeing globally that human dignity is respected not only offline but also online, in the digital sphere, and in the domain of DS, requires two policy measures: (1) human rights-based data-based systems (HRBDS): HRBDS means that human rights serve as the basis of digital transformation and DS. (2) International Data-Based Systems Agency (IDA): IDA should be established at the UN as a platform for cooperation in the field of digital transformation and DS, fostering human rights, security, and peaceful uses of DS, as well as a global supervisory institution and regulatory authority in digital transformation and DS. The establishment of IDA is realistic because humanity has already shown in its past that we are able to not always “blindly” pursue the technically possible but also to limit ourselves to what is technically feasible when humanity and the planet are at stake. For instance, humans researched the field of nuclear technology, developed the atomic bomb, and detonated it several times. Nonetheless, the same humans limited research and development in the field of nuclear technology to prevent even worse consequences by establishing the International Atomic Energy Agency (IAEA) at the UN.

A graduate laboratory experiment to set up a photon-counting detector using MKIDs

Abstract This paper presents a new laboratory activity aimed at developing knowledge and expertise in microwave applications at cryogenic temperatures. The experience focuses on the detection of infrared photons through Microwave Kinetic Inductance Detectors (MKIDs). The experimental setup, theoretical concepts, and activities involved are detailed, highlighting the skills and knowledge gained through the experience. This experiment is designed for graduate students in the field of quantum technologies.

A Study on Optimizing the Maximal Product in Cubic Fuzzy Graphs for Multifaceted Applications

Graphs in the field of science and technology make considerable use of theoretical concepts. When dealing with numerous links and circumstances in which there are varying degrees of ambiguity or robustness in the connections between aspects, rather than purely binary interactions, cubic fuzzy graphs (CFGs) are more adaptable and compatible than fuzzy graphs. To better represent the complexity of interactions or linkages in the real world, an emerging CFG can be very helpful in achieving better problem-solving abilities that specialize in domains like network analysis, the social sciences, information retrieval, and decision support systems. This idea can be used for a variety of uncertainty-related issues and assist decision-makers in selecting the best course of action through the use of a CFG. Enhancing the maximized network of three cubic fuzzy graphs’ decision-making efficiency was the ultimate objective of this study. We introduced the maximal product of three cubic fuzzy graphs to investigate how interval-valued fuzzy membership, fuzzy membership, and the miscellany of relations are all simultaneously supported through the aspect of degree and total degree of a vertex. Furthermore, the domination on the maximal product of three CFGs was illustrated to analyze the minimum domination number of the weighted CFG, and the proposed approach is illustrated with applications.

Learning Model of Virtual Exhibition Using 3D Animation (Case Study: Exhibition Implementation Course in the Medan State Polytechnic Mice Study Program)

This study aims to determine the process of implementing virtual exhibitions using digital 3D animation technology, and to find out whether there are differences in students' understanding of exhibition learning before and after learning about virtual exhibitions. Research data obtained from questionnaires and tested descriptively and different test (t-test). The process of creating a virtual exhibition uses the Art steps website. The results of the study show that the process of making virtual exhibitions with Art steps is very helpful and there are differences in students' understanding before and after learning virtual exhibitions in exhibition learning. This study uses a quantitative and qualitative approach. This research develops an exhibition course that is held onsite to an exhibition that is held online so that even higher knowledge and skills are needed in the field of digital technology.

EdTechnica: a vision of an educational publishing community of practice that is accessible, flexible, and just

Open Educational Resources (OER) and Open Educational Practices (OEP) have the potential to transform and positively impact individuals, institutions, and society. As educators, we have a unique responsibility to explore opportunities and possibilities afforded by openness enabled by current technologies to reimagine and reshape current educational reality and provide a more hopeful and equitable future for all. EdTechnica is an openly licensed living encyclopedia that provides background information on central topics and theories in the field of educational technology. As an OER, EdTechnica extends the 5Rs of openness—retain, reuse, revise, remix, and redistribute by also attending to the 3Rs of social justice—recognition, representation, and redistribution—bringing about a responsive product that reimagines what encyclopedias should be. Additionally, the governing board enacts principles of openness in its practice, striving for OEP in all its activities. This article explores how EdTechnica promotes knowledge creation and academic discourse by attending to key principles of openness in terms of ensuring accessibility, flexibility, justice, and sustainable generosity. Specific examples of OER/P in the EdTechnica context offer an insight into our practices and ambitions to improve the current educational landscape, illustrating what is possible at the intersection of justice, hope, and educational technology when we strive for openness and are guided by the values of sustainable generosity and sustainable improvement.

Psychological factors influencing online booking intentions among resort tourism service users

PurposeThis study examines the psychological factors that directly influence individuals’ intentions to book or arrange reservations through resort hotel websites within the context of the Unified Theory of Acceptance and Use of Technology (UTAUT). Specifically, this study focused on identifying and understanding the key drivers of online purchase intentions, including performance expectancy, effort expectancy, social influence and facilitating conditions within the UTAUT model.Design/methodology/approachThis study used the UTAUT as a theoretical framework. A quantitative research approach was adopted and data were collected through surveys using a five-point Likert scale. The sample consisted of 270 participants, selected through purposive sampling. Data analysis was performed using Smart PLS software.FindingsThe results indicate that performance and effort expectancy significantly influence online purchase intentions. However, social influence did not significantly affect online purchase intention. By contrast, facilitating conditions significantly and positively influence online purchase intention.Practical implicationsThese findings have practical implications for hotel managers and marketers. Emphasizing performance, effort expectations and facilitating conditions can improve customer perceptions of website usefulness and directly increase their intention to book. The limited impact of social influence suggests the need to focus less on social recommendations or endorsements in online marketing efforts and prioritize individual factors and objective information.Originality/valueThis study contributes to the field of technology and tourism by examining the psychological factors that directly influence users’ intention to purchase from resort hotel websites. This extends the understanding of online purchase intentions in the context of resort tourism and highlights the importance of facilitating conditions. This study also partially confirms the applicability of the UTAUT model in this domain and provides insights for future research on online purchase intentions in resort tourism.

EDITORIAL

Greetings to the Readers of Jurnal Teknosains!We are proud to present the latest edition of Jurnal Teknosains in Volume 13, Number 2, June 2024. In a world that is constantly evolving, innovation and sustainable development are crucial foundations for progress in the fields of technology and science. This edition takes us through a series of research articles that highlight various important aspects in this regard, ranging from the development of renewable energy technologies to efforts in addressing global pandemics. In broad strokes, we endeavor to provide an overview of the eight research articles in the field of technology and science published in this June 2024 edition.

Reply to "Various issues around the $L_1$-norm distance"

A distance function between two random variables or vectors was proposed in 2003 in a Ph.D. dissertation. Initially called a probability metric, it is now known as "Łukaszyk-Karmowski metric" or LK-metric and has been successfully applied in various fields of science and technology. It does not satisfy the identity of indiscernible (Leibniz's law) axiom of the metric, the ontological axiom also invalidated by the ugly duckling theorem. This note addresses two false claims made in a preprint that LK-metric is the same as the mean absolute difference and that it is ill-defined. The fallacy of the first claim is straightforward: the mean absolute difference is defined solely for independent and identically distributed random variables, contrary to LK-metric. Thus, if one considers E|X-X|, then the random variable X must be independent of itself, which implies its degenerate probability distribution and E|X-X|=0. If X has a degenerate probability distribution, then Y, which is identically distributed as X, also has a degenerate probability distribution and E|X-X|=0=E|X-Y|, invalidating the second claim.

Thermodynamic assessment of the Ce[sbnd]H and CeNi5[sbnd]H system

Interstitial metal hydrides (MHs) have attracted considerable attention in the field of hydrogen technology, particularly in the context of storage and compression applications. Because of their minor hysteresis effects, good cyclability, activation simplicity, and high volumetric storage density, LaNi5-based alloys are recognized as prominent candidates for hydrogen storage application. Additionally, the system’s thermodynamic and electrochemical properties can be modified to suit the requirements of a particular application by alloying specific substituents. To ascertain the thermodynamic effects of Ce addition within LaNi5, in this work the CeH and CeNi5H systems have been modeled with the CALPHAD method. For this reason, in this work, two different thermodynamic models have been developed and assessed using the same pressure-composition isotherms (PCIs) datasets obtained from literature and theoretical formation energies newly calculated employing periodic density functional theory (DFT). Direct comparison of the models against each other in terms of accuracy and physical plausibility revealed that extrapolation of thermodynamic properties to data-scarce regions is more reasonable with fewer model parameters and in agreement with other similar systems within the rare-earth (RE) metal-hydride class. In addition, the CeNi5H system was investigated by assessing the (Ce)(Ni)5(V a,H)7 phase model, which could accurately predict hydrogen storage properties while being compatible with previously developed LaNi5H models. Ultimately, the models developed in this study may be employed and extended to describe multi-component REH systems and allow for thermodynamic computations that are highly desirable for accurate predictions of hydrogen absorption/desorption properties and degradation characteristics within the (La,Ce)Ni5H metal hydride family.

Bibliometric Study of Emerging Technology Trends in E-Commerce

In recent years, the interest of electronic commerce (E-commerce) has emerged among researchers. However, a comprehensive synthesis of the pertinent literature in this domain remains lacking. To achieve this objective, an approach in bibliometric analysis was employed. The bibliometric analysis identified a dataset comprising 1219 documents, revealing an insight into the research landscape concerning technology trends in e-commerce. The findings from the bibliometric analysis reveals that the core research themes are business & user behavior, computer science & cybernetics, mathematics, and interdisciplinary applications. As a result, this research also gives the prominence of China-based institutions as leaders in this area. Additionally, most research papers concerning technology in augmented reality, blockchain, and artificial intelligence are the top emerging technology trends in e-commerce. Overall, this research aspires to empower researchers and practitioners with actionable insights and pave the way forward for fruitful advancements in the dynamic field of technology in e-commerce.

Uniformity of Terminology and Limits of Assessment of its Features and Functions in the Development of the Concept of Criminalization of Acts involving Unmanned Vehicles

Unmanned aerial vehicles, regardless of their purpose and type, are of considerable interest to a legal scientist, law enforcement officer and legislator. The number of mentions of unmanned vehicles and their types in regulatory legal acts is large; however, academic papers constantly raise the issue of multiple terms and concepts existing in the field of unmanned technologies. Moreover, many papers on criminal law regulation raise the same question. Since the issue of unmanned aerial vehicles regulation is not the first one of a kind to be discussed among legal academia, the paper attempts to consider the problem by extrapolating from existing experience. In particular, the author suggests turning to the theory of technologies and using them as a starting point to answer the question of whether it is possible to identify a single system of signs of high generality for unmanned vehicles. Accordingly, is it possible to sufficiently abstract from the particular features of products and services in order to construct a general term? Using unmanned vehicles available on the market as an example, the author shows the breadth of variation in the functions of these vehicles and how this can lead to legal conflicts and the strengthening of particular cases when trying to build a general norm. Based on the analysis, the author draws a conclusion regarding the problem posed in the title of the article.

Predictive Modelling on Competitor Analysis Performance by using Generalised Linear Models and Machine Learning Approach

Competitive analysis in digital and technology is trending in the business field. However, the field of digital and technology in the business world is vast and challenging to analyse. The purpose of this research is first to identify the success factor which represent the company performance. Second, is to identify the significant services provided by the company to their business user. Then, based on the first and second objectives, a predictive modelling is developed to produce the best solution to their business user. The research is implementing a case study from Telecommunication Company and using data science life cycle methodology. The statistical modelling that is used to develop the competitor’s analysis model is generalised linear model (GLM) which integrated with machine learning approach. Furthermore, the synthetic data set is created by using Gamma Distribution, Gaussian Distribution and Poisson Distribution due to some data from the case study is confidential. The synthetic data set is based on existing real data which are from Telecommunication Company sentiment analysis data, were used to investigate the performance of the proposed model. The machine learning technique is used to get the accuracy of the significant GLM which has been developed. The accuracy is tested by using the error rates of the machine learning technique which are Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and R-squared. This research discovered that the business solution to the significant service for the business user and discovered the best statistical model to be used for the business solution. The results show that the Gumbel distribution is the best fit model for the synthetic dataset where the values of RMSE is 1.0574, MAE is 0.9168 and R-squared is 0.3994, and the significant success factor that has been identified by using the GLM is advertising success factor. The model developed can be improved with another type of data set and different sizes of data. Hence, further studies and real-world data are required for better validation.

The Impact of Integrating Various Digital Games in EFL Classrooms on Soft Skills Development

It is axiomatic that research in the broader field of educational technology has highlighted the capacity of digital games to engage students actively in the learning process, promoting motivation and facilitating knowledge retention. However, the specific impact of digital games on soft skills development within EFL contexts remains an underexplored area. Hence, this article investigates the impact of integrating diverse digital games into EFL classrooms on the development of soft skills among Moroccan EFL students. This quasi-experimental longitudinal study aimed to investigate the relationship between participation in an online gaming club and the development of soft skills, specifically English communication skills and critical thinking skills, over a six-month period. The hypothesis posited that engaging in online gaming activities would lead to improvements in both English communication skills and critical thinking skills among participants. The findings suggested that engagement in online gaming has a positive impact on the development of soft skills such as English communication skills and critical thinking skills. The study contributes to the broader discourse on innovative pedagogical approaches in EFL contexts, shedding light on the potential of digital games as effective tools for fostering essential skills beyond language proficiency. The implications of the research extend to educators, curriculum designers, and policymakers seeking to enhance the holistic development of students in EFL classrooms.

Vitrification of human blastocysts for couples undergoing assisted reproduction: an updated review

Over the past 40 years there has been a worldwide critical change in the field of assisted reproduction technology (ART), leading to the increased application of single blastocyst transfer, which is extremely important to avoid the risks of multiple pregnancy and associated complications for both mother and babies. Indeed, advancements in ART over the last few decades have been obtained thanks to several improvements, including ovarian stimulation, embryo culture conditions and, of course, progress in cryopreservation methods, especially with the application of vitrification. The ability to cryopreserve human embryos has improved significantly with vitrification compared to the initially adopted slow-freezing procedures. Since the introduction of vitrification, it has become the gold standard method to effectively cryopreserve human blastocysts. However, some new protocols are now being explored, such as the short warming procedure and even shorter exposure to the equilibration solution before vitrification, which seem to provide optimal results. Therefore, the main aim of the current narrative review, will be to illustrate the benefit of vitrification as an effective method to cryopreserve the human blastocyst and to illustrate new protocols and variations which in future may increase the performance of vitrification protocols.

Study on droplet deposition characteristics and application of small and medium crown garden plants sprayed by UAV sprayer

The Unmanned Aerial Vehicle (UAV) sprayer has the advantages of high work efficiency, simple operation, and high safety factor, and has broad application prospects UAV sprayer are widely used in the agricultural field, and the application of UAV sprayer spraying technology in agriculture has provided convenience and increased profits for farmers, and has also become a research hotspot in the field of agriculture. In recent years, although research has been conducted on the feasibility and application effects of UAV sprayer spraying crown shaped plants, there have been no experiments or studies in the field of garden plants. This experiment conducted a droplet deposition experiment of UAV sprayer spraying garden plants, exploring the droplet deposition effect of UAV sprayer in the field of garden plants, and conducting experiments on the influence of spray volume and nozzle type on droplet deposition. The experimental results showed that the canopy performance of small and medium-sized garden plants was better at a flight altitude of 1.5m, a spray volume of 180L/hm2, and a flight speed of 2m/s. Reducing flight altitude, increasing spray volume, and reducing flight speed can improve the distribution of droplets in the canopy. This experiment lays the foundation for the application of UAV sprayer for the prevention and control of pests and diseases in garden plants, as well as for the application of growth regulators, and provides a basis for further innovative research in the field of garden plant application technology.

Novel Hybrid Ferromagnetic Fe–Co/Nanodiamond Nanostructures: Influence of Carbon on Their Structural and Magnetic Properties

Novel Hybrid Ferromagnetic Fe–Co/Nanodiamond Nanostructures: Influence of Carbon on Their Structural and Magnetic Properties

Leadership Development Interventions to Reduce Imposter Phenomenon in the STEM Fields in Minorities

Background: There is a significant lack of diversity in the Science, Technology, Engineering, and Mathematics (STEM) fields. Evidence shows that lack of representation can feed into feelings of imposter phenomenon which in turn influences leadership qualities. Objectives: An argument is made that by providing leadership development training to minorities in science, technology, engineering, and mathematics fields, confidence will be boosted, feelings of imposter phenomenon will be reduced, and thus these students will be retained. Approach: Theories explored to explain this challenge include the imposter phenomenon, servant leadership, and transformational leadership. Results: The goal of this article is to demonstrate the need for research into leadership development of minorities in the science, technology, engineering, and mathematics fields. Conclusions: A program proposal is also introduced as a suggested plan of action based on the findings.