Communication Bridge Research Articles

Preface

Nowadays, the research and development level and industrialization scale of advanced materials have become an important symbol to measure the economic and social development, scientific and technological progress and national defense strength of a country or region. Compared with the traditional mechanical manufacturing, the composite mechanical and electronic engineering and its technology with the introduction of artificial intelligence technology have a greater application prospect, and can meet the needs of increasingly complex industrial production and manufacturing in the era of highly developed industrial capacity. Advanced materials and mechanical and electronic mutual integration, mutual promotion, the penetration of relevant research and results affect the development of various fields in China, which is of great significance to accelerate China’s social upgrading and transformation and seize the commanding heights of a new round of scientific and technological revolution. It is highly delighted to introduce the 2022 2nd International Conference on Advanced Materials and Mechatronics (ICAMM 2022), which held during June 24-26, 2022 in Dali, China. The purpose of the conference is to build a bridge of communication for experts, scholars and personnel from all walks of life in the field of materials and electromechanics, and to help and promote the intersection and integration of different disciplines.About 100 participants from academic, high-education institutes and other organizations took part in the conference. The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches.In the keynote presentation part, we invited four professors as our keynote speakers. The first keynote speaker, Researcher. Wanbiao Hu, Yunnan University. His research direction: Starting from the scientific basis, application and cutting-edge issues of electronic materials, develop the transport properties of electromagnetic materials, electronic information storage, energy storage and conversion materials and devices. The second keynote speaker, Prof. Lin Zhang, Northeastern University. Dr Zhang completed his doctorate in materials physics and chemistry with the microstructural simulations of low-carbon steels and Ni-based alloys at the Northeastern University in 2002. And then we had Prof. Hongying Hou, Kunming University of Science and Technology. Our finale keynote speaker, Prof. Dr. Yarub Al-Douri, American University of Iraq, Sulaimani. His research field focuses on renewable energy, modelling and simulation, semiconductors, optical studies, nanoelectronics and nanomaterials.List of Committee member is available in this Pdf.

Stigmergic Independent Reinforcement Learning for Multiagent Collaboration.

With the rapid evolution of wireless mobile devices, there emerges an increased need to design effective collaboration mechanisms between intelligent agents to gradually approach the final collective objective by continuously learning from the environment based on their individual observations. In this regard, independent reinforcement learning (IRL) is often deployed in multiagent collaboration to alleviate the problem of a nonstationary learning environment. However, behavioral strategies of intelligent agents in IRL can be formulated only upon their local individual observations of the global environment, and appropriate communication mechanisms must be introduced to reduce their behavioral localities. In this article, we address the problem of communication between intelligent agents in IRL by jointly adopting mechanisms with two different scales. For the large scale, we introduce the stigmergy mechanism as an indirect communication bridge between independent learning agents, and carefully design a mathematical method to indicate the impact of digital pheromone. For the small scale, we propose a conflict-avoidance mechanism between adjacent agents by implementing an additionally embedded neural network to provide more opportunities for participants with higher action priorities. In addition, we present a federal training method to effectively optimize the neural network of each agent in a decentralized manner. Finally, we establish a simulation scenario in which a number of mobile agents in a certain area move automatically to form a specified target shape. Extensive simulations demonstrate the effectiveness of our proposed method.

Effects and reflections of the media in crisis management administrative crises in institutions as a model

It is no secret to everyone that the media constitutes a creative message that adheres to transparency, thought and truth and overlaps with the philosophy and message of the public and engages with it in its pioneering and brilliant form. Today, a decisive factor for managing and confronting all crises, including administrative crises that harm the body of the institutions of the administrative apparatus of states internally and externally, in terms of the strength of institutional performance, or facing cases of corruption in both the administrative and financial aspects, organizational structures, the level of delivery of the services provided, or the nomination policies of these institutions or their human resources. The media seeks the art of managing these types of crises, minimizing their current and future consequences and repercussions, and covering their events in a media and psychological manner, to restructure the functional, social, psychological and human aspects of these institutions later and in all countries. By extending bridges of communication with the public and building a relationship with these institutions to reform the conditions that may arise in the emergence of these crises in a radical and qualitative manner within a well-studied and structured media framework in a pioneering manner by helping the public understand what is happening from the results of those crises and providing it with information and data to understand the reality of what is happening in the arenas of the administrative apparatus institutions The effects and repercussions that crises have on various management institutions in all parts of the world. In addition, the media in all stages of crises, especially the stage before the onset and emergence of crises, have the greatest role in preventing their occurrence or their transmission to other stages of crises or preventing their complexity by raising awareness among the public through collecting data and information on crises and providing honest, transparent media reports, news and analysis. On the circumstantial, temporal and spatial facts about those crises, the use of positive media vocabulary, and the selection of the appropriate temporal timings to cover and convey the truth of what is happening on the ground in crises, to broadcast awareness news carefully and to formulate a distinct and unique media. The importance of this research appears in recognizing the strongly growing link between the media and its arts in the management of various crises, which took a great intellectual space among philosophers,

Progress in the effect of microRNA carried by extracellular vesicles in follicular fluid on follicular atresia

Extracellular vesicles (EVs) are membrane-bound particles actively released by cells. In prokaryotes and eukaryotes, EVs are effective bridges for communication between cells. EVs carry biological macromolecules, including proteins, lipids and nucleic acid, which affects different physiological functions of parent cells and recipient cells. Among them, the microRNA carried by EVs is the most reported and plays an important role in physiological function of organisms. During the development of follicles, only a few follicles can fully develop and ovulate, whereas most of them undergo atresia at different stages of development. In the whole process of follicular development, the changes at each stage and the regulation mechanism of follicular atresia are not completely understood. In this paper, we introduced the types, characteristics, isolation methods and uses of EVs, and emphasized how microRNA carried by EVs in follicular fluid regulated follicular atresia from the aspects of different cytokines and hormones. Additionally, the application prospect of microRNA carried by EVs in follicular fluid in reproductive regulation and reproductive disease diagnosis was discussed. This paper is significant for studying the regulation of follicular development and the effective utilization of oocytes.

Transformation in times of climate change: what makes a fisher diversify livelihoods?

Despite the importance of livelihood diversification as a transformation strategy in small-scale fisheries facing climate change, empirical evidence on this complex phenomenon is scarce. This work aims to shed light on factors that help to explain the transformative behavior of small-scale fishers when faced with climate change impacts. Using primary survey data from 404 small-scale fishers across 9 communities in Galicia, NW Spain, we examined how different aspects of fishers’ adaptive capacities relate to their stated decisions to engage in livelihood diversification when faced with hypothetical climate change scenarios. The results of our multinomial multilevel mixed-effect logit model show that flexibility (current income diversification level and diversity of target fishery resources) has a strong, positive relationship with livelihood diversification responses. In contrast, learning, social organization, and competing concerns played a complex role. Specifically, we found that social-ecological system knowledge, communication with different fishing groups (bridging communication), trust in institutional actors, and gender (female) were positively related to livelihood diversification when faced with climate impacts. Fishing experience, communication within fishing groups (bonding communication), and trust in other fishing groups (bridging trust) were negatively related to diversification. Our results provide new empirical evidence on the factors associated with fisher’s decisions to engage in livelihood diversification when faced with climate impacts on fishery resources, lending critical insight for climate adaptation programs and policies.

Application of Deep Learning for Discourse Expression Recognition in Ideological and Political Education

The subject context in consideration with discourse expression recognition (DER) provides a communication bridge between ideological and political education (IPE) for budding college students. This paper introduces a novel method for integrating the deep-learning-based approach to ideological and political education in consideration of the discourse expression of subject context. Initially, the relation between ideological and political education is analyzed. Then, the efficiency of teaching is enhanced with the help of deep learning mechanisms; in addition to the flipped classroom and online education, an innovative model of education is proposed using deep learning methods. To perform the experiment, 236 subjects were randomly selected from Hohai University, and the analysis was performed with the help of surveys conducted using a questionnaire. The statistical results prove that the selected questionnaire has a high degree of validity and reliability. Thus, from the analysis, it is observed that most of the students have a better understanding of the subject context in discourse expression of ideological and political education. Moreover, about 50% of the students have a positive approach to the subject contexts and the education methods, making them active in reaching a satisfactory learning effect. The obtained results indicate that the benefits of deep learning in ideological and political education enhance the interest of the students in pursuing this with renowned subject context.

Construction of Holographic Immersion Chamber Based on Multisource Information Fusion and Interactive Virtual Reality Technology

Nowadays, many visual artists actively respond to the drastic changes taking place in today’s society, build a communication bridge between real places and virtual places, and use holographic image technology to organically integrate them with each other. We are increasingly shuttling through the network of unbounded space. These spaces have no fixed geographical location. With the help of modern science and technology, they often fall into the field of vision of the viewer. With the development of the times, virtual reality technology is a computer simulation system that can create and experience the virtual world. It mainly uses computers to generate a simulated environment. It is a multisource information fusion interactive virtual reality technology to help users immerse themselves in the virtual environment. This paper studies the holographic immersion chamber based on multisource information fusion interactive virtual reality technology. The approximation index of the transformation matrix calculated by the registration algorithm based on SIFT+MSA is 1.7073, which is less than 4.0017 obtained by SIFT matching algorithm. It can be seen that the error of CCD image registration parameters calculated by this algorithm is smaller. In the process of the development of multisource information fusion interactive virtual reality technology, the technical feature of virtual reality is gradually integrated into the user and application object, becoming more closely connected and finally causing the user of the technology the feeling of “immersion” in the use experience.

RESEARCH ON THE IMPLEMENTATION AND PRACTICE OF WECHAT PUBLIC PLATFORM TEACHING RESOURCES BASED ON PSYCHOLOGICAL AND EMOTIONAL REGULATION — TAKING PRIMARY SCHOOL FOREIGN LANGUAGE (ENGLISH) CURRICULUM AS AN EXAMPLE

BackgroundNowadays, wechat applications are very popular in China. Through the text, pictures, sound and video on the wechat official account platform, all-round communication between individuals and between individuals and the media has been realized. Wechat official account platform is an important functional module of wechat application. On this platform, enterprises and individuals can create an official account to communicate and interact with specific users. Its forms of communication and interaction are very diverse, including text, sound, pictures, pictures, text messages and videos. This paper applies the wechat official account platform to foreign language (English) teaching for primary school students. Developed foreign language (English) learning resources suitable for wechat official account platform.Subjects and Methods330 public primary school teachers were investigated by stratified sampling, including the experimental primary school in F City, the First Affiliated Primary School of s Normal University and the experimental primary school in district a of F City. From the deep understanding of the wechat official account platform, the strong support for the wechat official account platform, the diverse forms of the wechat official account platform, the diverse contents of the wechat official account platform, and the diversity of the wechat official account platform, we conducted a questionnaire survey, and realized the implementation of the wechat official account and the practical teaching resource platform from the perspective of psychology. In addition, the study also found that foreign language anxiety was negatively correlated with foreign language achievement. Similarly, there is a significant negative correlation between foreign language anxiety and self-efficacy. State anxiety, trait anxiety and foreign language learning anxiety are all positively correlated. The “anxiety” component of learners' personality characteristics plays a great role in the generation of foreign language learning anxiety. The correlation coefficient between LCAS and trait anxiety was 0.408, while the correlation coefficient between LCAS and state anxiety was 0.395. Both reached a significant level (P < 0.01). Self efficacy is positively correlated with foreign language achievement. Research shows that foreign language anxiety, gender and self-efficacy can be used as comprehensive variables to measure foreign language learning achievement.ResultsBased on the teaching concept of “teacher led and student-centered”, the traditional classroom teaching and network assisted learning were combined. Through the primary school foreign language (English) learning resource platform based on wechat official account platform \\ primary school foreign language (English) reading resource platform based on wechat official account platform \\ primary school foreign language (English) counseling and Q & a platform based on wechat official account platform, Let students realize resource-based autonomous learning in order to achieve the best effect of foreign language learning.ConclusionFrom the survey data, the teachers of the surveyed schools have realized the advantages of oral English teaching on wechat public platform. Wechat public platform has built a bridge for communication between teachers and students and realized free dialogue between teachers and students. Therefore, the platform has become an oral English training base. Carry out students' English teaching and develop English learning resources suitable for wechat public platform. Based on the concept of “double master”, these two teaching methods are combined with traditional classroom teaching and network assisted learning. Based on wechat public primary school English learning resource platform, wechat public primary school English reading resource platform or wechat public primary school English counseling platform, let primary school students realize autonomous learning and optimize primary school English learning.AcknowledgementsThis project is supported by Zhejiang Industry-Education Integration Engineering Base (Zhejiang Development and Reform Commission society [2020] No. 319).

Fuzzy process capability analysis for machined product with multiple characteristics of symmetric tolerance

Amidst fierce competition and diversifying customer needs in today’s markets, product development and design have shifted toward a more user-oriented model. This makes it common for products to have multiple quality characteristics. However, simply meeting customer needs is no longer sufficient; quality is also a key factor of a consumer’s willingness to buy a product. To this end, process capability indices have been used to measure the relationship between manufacturing specifications and processing performance, as well as serve as a bridge of communication between manufacturers and clients. In view of this, the loss-based capability index [Formula: see text] that fully reflects process loss and yield is employed in this study to analyze the process performance of each quality characteristic. However, [Formula: see text] must be estimated based on collected samples, in which the measured values of all sample data are expressed with precise values. Uncertainty and imprecision in collected data increase the risk of misjudgment. To reduce this risk, the [Formula: see text] confidence interval of [Formula: see text] is first derived to define fuzzy estimations of both the critical value and index, and develop a fuzzy process capability analysis model for a machined product with multiple quality characteristics of symmetric tolerance. Finally, an industrial example involving a five-way pipe product is presented to illustrate the applicability of the proposed approach. The results show that the proposed fuzzy analysis model makes determination of the process capability of each quality characteristic more reliable and rigorous to ensure that manufactured products meet requirements.

Electromyography based Gesture Recognition: An Implementation of Hand Gesture Analysis Using Sensors

Motion sign-based language has an important role in the mute community, that is for data transmission. Usually, silent and dumb people counter very difficult situations to convey information to normal people. This paper proposes research that can ease the life of the deaf community. The work presented in this paper is a communication bridge between normal-hearing persons and persons with less hearing ability or impaired persons. The proposed research ‘Gesture–Talk’ can be used as an interpreter between any normal person and deaf and mute persons. The Gesture–Talk is based on the language used in Pakistan which is Pakistan Sign Language (PSL), which is a standard language used by deaf persons in Pakistan. Using Gesture–Talk, PSL can be translated into voice. The idea is to develop a small portable application that can be used as a middle layer application between normal and deaf people. The authors have used an electrical sensor that will collect the data by detecting electrical pulses that will be sent to the microcomputer (raspberry pi 3) where the data will be processed and sent to the speaker from which voice will be generated. A cost-effective and novel approach has been proposed in this research paper compared to the other existing approaches. Moreover, Artificial Intelligence (AI) based predictive or classification algorithms may be applied for the best optimal results.

Access to Disclosure of Disasters Information for Deaf People through Sign Language Interpreter

There are plenty of information or news regarding natural disasters being inaccessible for Deaf people, and this stems from lack of Sign Language Interpreters. Urgency Sign Language Interpreters have an important role in bridging communication between society and the entire Deaf population, Sign Language Interpreters can also help people with Deafness in accessing information comprehensively on the aforementioned subject (natural disasters). Mostly, Deaf people communicate through sign language in their everyday lives, although Deaf people are still experiencing exclusion in discerning the newest and developing information on the current state of world affairs. This study aimed to elaborate situations faced by Deaf people in accessing information on natural disasters around them, their needs on accessing said information, and also urgency as well as obstacles faced in providing Sign Language Interpreters. This research will use qualitative approach by means of document/literature study to gather data from various international as well as national articles in general.

Short video narrative and China’s national image construction from the perspective of foreigners——Take the short video of Shanghai epidemic as an example

With the continuous development of globalization and the rising international influence of China, more and more foreigners have started to pay attention to China, and they actively join Chinese Internet platforms to make short videos of their daily lives and anti-epidemic routines in China and post them on Internet platforms, becoming one of the important bridges for cross-cultural communication, and at the same time has enabled Chinese people to know China more objectively under the perspective of the other. Based on the theory of otherness and frame construction, this paper selects 200 short videos involving foreigners during the spring 2022 Shanghai closure and control period for the content analysis on major short video platforms, and constructs categories for the narrative perspective, narrative content, narrative characters, and narrative attitude of such short videos, puts forward four hypotheses to analyze the relationship between their narrative strategies and communication effects, and based on the above analysis, we will further discuss the international communication strategy of China and the mass communication strategy of short videos in the context of the epidemic.

NetDDS: A Real-time Interactive Platform Based on the Publish-subscribe Mechanism

Background: With the continuous development of big data, artificial intelligence, the Internet of things, and blockchain technology, distributed interactive systems have gradually become the mainstream of computing technologies and applications with the help of real-time interaction platforms. The real-time interaction platforms provide a data communication bridge for distributed applications, not only meeting the timeliness and correctness of data interaction but also providing a unified interface for application development. It realizes the plug and play of different functional modules in the distributed system and improves development efficiency for system developers. Objective: According to the characteristics of the large scale, wide range, and complex running environment of distributed interaction systems, this paper analyzes the function and performance requirements of the distributed interactive platform and designs and implements a real-time interactive platform named NetDDS based on a publish-subscribe mechanism. Methods: Concerning the idea of a layered design, the real-time interactive platform is constructed from three aspects: distribution service layer, QoS guarantee layer, and data transmission layer. The platform provides a data synchronization function based on publish/ subscribe mechanism, a configurable QoS guarantee mechanism, and a multi-protocol data transmission mechanism based on Ethernet, ensuring the real-time correctness and reliability of data transmission. Results: Experimental results show that the interactive platform exhibits less delay in message update. Conclusion: This paper proposes a hierarchical architecture, designs and implements a real-time interaction platform based on publish/subscribe mechanism, and provides a topic- based publish/subscribe model to the application layer. The publisher and subscriber directly publish and subscribe with data as the center to meet the real-time requirements of distributed real-time applications.

A corpus-assisted study of vague language in corporate responsibility reports of the cosmetics industry

A corporate social responsibility (CSR) report is a form of information disclosure about environmental, health, and human rights issues. It serves as an essential bridge for communication between enterprises and stakeholders. Enterprises can use vague language (VL) to strategically communicate with the public, establish a positive corporate image, and legitimize their activities. In recent years, many scholars have studied the usage and communicative function of VL in general conversational discourse, yet VL in business discourse has not received much attention. &#x0D; &#x0D; In this study, 30 social responsibility reports of 10 world-renowned cosmetic enterprises between 2015–2019 were collected to build a corpus. With the help of the corpus software AntConc, this paper explores VL, specifically in CSR reports, using a corpus-assisted approach. Further, the quantitative findings are complemented by the contextualized interpretation of the communicative functions of VL in CSR reports. The major findings of this research are as follows. There are four types of VL used in CSR texts: quantity, degree, time, and softening stance-taking. In addition, the use of VL can help achieve several communicative purposes of CSR report drafting (i.e., provide an appropriate amount of information, enhance persuasion, and self-protection). Some practical suggestions are discussed for improving the awareness of the strategic use of vagueness in CSR reports.

Knowledge, Attitude and Practice about Sexually Transmitted Infections among Lady Health Workers Working in Endemic Areas of Sindh, Pakistan

Globally, Human Immunodeficiency Virus (HIV) took the lives of nearly 680,000 people in 2020. And STI prevalence was found at almost 4.4% in the local population. As Lady Health Workers (LHWs) are a communication bridge between the patient and care provider therefore we aim to assess and identify the gaps in the knowledge, attitude, and practice of lady health workers regarding STIs&#x0D; Methods: A descriptive cross-sectional study for 12 weeks (January-2020 till March-2020) was conducted among 18-60years who were trained in the last 3 months for the basic health unit in Jacobabad and were assessed for their knowledge, attitude, and practices. A total of 316 participants were selected via a simple random technique from 595 LHWs whereas analysis was performed in SPSS v.25&#x0D; Results: Total of 315 LHWs participated with mean age of 36.32±6.61 years and 99.4%, were Muslim. Their mean household monthly income was 26010.13± 2201.86 rupees and the majority, 266 (84.4%), were married and half of them, 169 (49.7%), were matriculated. Almost 94% knew about STIs but their knowledge was 6% at an excellent level. Very low number 7.9% found as excellent in the attitude assessment scale among participants whereas none of them was identified as excellent in practice.&#x0D; Discussion: The results findings showed that LHW should be equipped with the proper knowledge of STIs. LHW is in need of getting proper training on the practice as only 0.3% of the population involved in the study had a good practice of STIs.

The Practical Application of Oil Painting in the Treatment of Mental Illness.

With the rapid development of economy, politics, science, and technology and the improvement of living material level, people pay more attention to personal physical and mental development. The incidence of mental illness is on the rise. Psychological education curriculum learning and psychological counselling are based on communication; there are still many limitations. The art media enables patients to reveal their subconscious and potential emotional needs, so that interveners have the opportunity to explore these issues and build a bridge of communication with patients. In this paper, oil painting therapy of nonverbal communication is proposed as a way of psychological therapy. The patients in the psychological department of a hospital are served by six stages of therapy, each stage of treatment has different arrangements, and continuous service and treatment are adopted. Based on the art analysis principle of oil painting creation, the therapeutic experience obtained from oil painting creation and the experience gained from oil painting were divided into groups to compare the therapeutic effect and explore the role of oil painting art therapy. The results showed that the scores of the treatment group were significantly lower than those of the control group at 4 weeks and 6 weeks after the art therapy of oil painting creation, showing a significant downward trend overall. Oil painting art therapy may alleviate anxiety, providing data support for the application of oil painting art therapy in patients with depressive episodes.

In Ukraine, science will need rebuilding postwar; in Russia, its isolation could endure

The impulse to help Ukrainian scientists is widespread. But balancing sanctions against Russia while keeping open bridges of communication is tricky and controversial.

Highly Oxidized Cobalt Porphyrin Dimer: Control of Spin Coupling via a Bridge.

A cobalt porphyrin dimer is constructed in which two Co(II)porphyrins are connected covalently through a redox-active diethylpyrrole moiety via a flexible but "nonconjugated" methylene bridge. Upon oxidation with even a mild oxidant such as iodine, each cobalt(II) center and porphyrin ring undergo 1e- oxidation, leading to the formation of a 4e--oxidized cobalt(III)porphyrin dication diradical complex. Other oxidants such as Cl2 and Br2 also produce similar results. To stabilize such highly oxidized dication diradicals, the "nonconjugated" methylene spacer undergoes a facile and spontaneous oxidation to form a methine group with a drastic structural change, thereby making the bridge fully π-conjugated and enabling through-bond communication. This results in a strong spin coupling between two π-cation radicals which stabilizes the singlet state. The experimental observations are also strongly supported by extensive density functional theory calculations. The present study highlights the crucial role played by the nature of the bridge in the long-range electronic communication.

Teaching Presence vs. Student Perceived Preparedness for Testing in Higher Education Online English Courses During a Global Pandemic? Challenges, Tensions, and Opportunities.

In the context of a global pandemic that started in 2020, the Chilean higher education institution Universidad Andrés Bello (UNAB) faced the challenge of giving continuity to its already established blended program for English courses while also starting the implementation of a high-stakes certification assessment for its students using the Test of English for International Communication (TOEIC) Bridge. This study sought to evaluate how much of a mediating factor online teaching presence could be in the context of test preparation within a language course in aspects related to autonomous learning and perceived learning outcomes. A mixed-methods approach was used. It included a survey applied to 1,642 eligible students of the English program. These quantitative data were complemented with students’ comments and teacher interviews. After triangulating quantitative and qualitative data, teaching presence was clearly perceived to be a relevant aspect of the online experience in the studied courses. However, both students’ and teachers’ voices evidenced pervasive challenges and tensions that hinder the potentially transformative benefits that online learning is expected to bring about.

Trusted Electronic Contract for Enabling Peer-to-Peer HPC Resource Sharing

With the growing need for HPC resource usage in Thailand, this study aims to foster the creation of an HPC resource sharing ecosystem based on available in-house computing infrastructure. The model of computing resource sharing based on blockchain technology is presented for bridging communication between multiple clusters of HPC systems. The use of blockchain technology allows states among HPC systems to be synchronized and extends capabilities in enforcing governing rules. A smart contract was deployed on the blockchain network to enable users to request computing resources. Upon a request being made, a matching scheme performs the automatic selection of a suitable cluster based on current cluster utilization data and distance from users. Since users and clusters are anonymized from each other, a trusted payment scheme and permission access control are presented to assure both parties. As the system leverages off-chined and on-chained data exchange to carry out the operation, the secure gateway is proposed to mitigate technical difficulty from the client’s perspective and ensure information is securely flowing to and from legitimate actors. The result of this work ensures HPC service providers can maximize the utilization of their resources and monetize idle computing time, while users can access demanded resources conveniently and pay at a reasonable price.