Yili Zhang1, Hanyan Huang1*,1School of Systems Science and Engineering, Sun Yat-Sen University, Guangzhou, Guangdong 510275, PR China
High-dimensional complex multi-parameter problems are commonly in engineering, while the traditional approximate modeling is limited to low or medium dimensional problems, which cannot overcome the dimensional disaster and greatly reduce the modelling accuracy with the increase of design parameter space. Therefore, this paper combined Kriging with Cut-HDMR, proposed a developed Kriging-HDMR method based on adaptive proportional sampling strategy, and made full use of Kriging s own interpolation prediction advantages and corresponding errors to improve modeling efficiency. Three numerical tests including coupling test, high-dimensional nonlinear test and calculation cost test were used to verify Kriging-HDMR, and compared with the traditional Kriging and RBF-HDMR in R2, REEA and RMEA measuring the approximate accuracy, results show that the improved Kriging-HDMR greatly reduces the sampling cost and avoids falling into local optima. In addition, at the same calculation cost, when the scale coefficient is 1/2, Kriging-HDMR has higher global approximate accuracy and stronger algorithm robustness, while preserving the hierarchical characteristics of coupling between input variables.
Multiparameter decoupling, Kriging-HDMR, Surrogate model, Global approximation.
David Ochieng Odhiambo1 and Dr. Winston Edward Massam (PhD)2, 1Graduate student (Science education), Aga Khan University, IED-East Africa, Tanzania and 2Faculty, Aga Khan University, IED-East Africa, Tanzania
This study was conducted in Homa Bay Sub County, Kenya to explore the adoption of ICT among senior teachers, aged between 45-60 years, in teaching and learning of science. A qualitative research approach using a case study design was employed. Eight secondary school senior teachers of science, 2 females and 6 males, within Homa Bay Sub County were purposefully selected. Semi structured interviews were conducted one-on-one basis followed by classroom observation and document analysis. Analysis of the data revealed that senior teachers of science generally integrate ICTs in planning, assessment and in classroom teaching; however pedagogical preferences and teacher’s workload had an influence on their choice of pedagogy. Subsequently, traditional pedagogy dominated their classroom lessons while ICT partially integrated as complementary to teach specific topics in science. The major factors revealed, that stalled ICT adoption in science teaching among the senior teachers, were insufficient technical support that reduced confidence of ICT integration, scarce practical training on ICT usage, basic expertise level in using ICT and inadequate ICT infrastructures in schools. Nonetheless, the senior teachers of science acknowledged that ICT is convenient and beneficial in teaching and learning. Thus, for increasing ICT integration by senior teachers of science in teaching and learning, it was recommended that the senior teachers of science be exposed to consistent ICT training to be abreast with current ICT knowledge, policies developed for teachers’ preparation and professional development be supportive and emphasize ICT integration in pedagogy.
ICT adoption, senior teachers of science, pedagogy, ICT integration in teaching and learning, diffusion innovation.
Sergio Guida and Independent Researcher, Data Governance, AI / Sr Man.Cons., Italy
This study was conducted in Homa Bay Sub County, Kenya to explore the adoption of ICT among senior teachers, aged between 45-60 years, in teaching and learning of science. A qualitative research approach using a case study design was employed. Eight secondary school senior teachers of science, 2 females and 6 males, within Homa Bay Sub County were purposefully selected. Semi structured interviews were conducted one-on-one basis followed by classroom observation and document analysis. Analysis of the data revealed that senior teachers of science generally integrate ICTs in planning, assessment and in classroom teaching; however pedagogical preferences and teacher’s workload had an influence on their choice of pedagogy. Subsequently, traditional pedagogy dominated their classroom lessons while ICT partially integrated as complementary to teach specific topics in science. The major factors revealed, that stalled ICT adoption in science teaching among the senior teachers, were insufficient technical support that reduced confidence of ICT integration, scarce practical training on ICT usage, basic expertise level in using ICT and inadequate ICT infrastructures in schools. Nonetheless, the senior teachers of science acknowledged that ICT is convenient and beneficial in teaching and learning. Thus, for increasing ICT integration by senior teachers of science in teaching and learning, it was recommended that the senior teachers of science be exposed to consistent ICT training to be abreast with current ICT knowledge, policies developed for teachers’ preparation and professional development be supportive and emphasize ICT integration in pedagogy
Human-Centered Design, User experience, Morenian psychodrama, Situated Pychological Agents Framework, Technology-Enhanced Learning, data privacy rights, educational chatbot. .
Miguel Angel Gallardo Lemus1, Juan Carlos RodriguezRamos2 and Rodrigo Oliver Delgado Arcega3, 1Academia de Sistemas E ITICs, Campus Vallarta, ITMMPyH, Mexico 1, 2Academia de Sistemas E ITICs, Campus La Huerta,ITMMPyH, Mexico 2 and 3Academia de Electromecánica, Campus Vallarta, ITMMPyH, Mexico 3
In the present work, the analysis and designproposalofanetworkofwirelesssensorsforthemonitoring and surveillance of rocodiles founding the area of the estuary and the Marina of Puerto Vallarta, Jalisco, which is an area surrounded by commercial and residential areas. A LoRa network and a NoSQL database service such as Firebase and a data visualization using React Native are proposed.
IoT, Wireless Sensor Networks (WSN), react native, LoRa, animal monitoring.t. .
Tombari James, Department of Electrical and Electronics Technology, Federal College of Education (Technical), Omoku, Rivers State, Nigeria
Over the past two years, educational institutions and the society at large has witnessed certain daring challenges that altered the nature of work as well as formal education. There is an increasing awareness of global action plans. Hence this paper reviews scholarly literature on the nature (curriculum content, pedagogies, and teacher education) of education needed to sustain students positive motivation, ensure transformative learning, and ensure achievement of the sustainable development goals specifically with respect to electrical and electronic technology education in the Nigerian situation. Nigeria’s contemporary needs were identified, likewise the benefit of a sustainable electrical and electronic technology education in mitigating those needs.
Electrical and Electronic, Technology Education, Sustainability, Education for Sustainable Development, Contemporary challenges, Nigeria.
Peter Joun, Department of Economics, Hosei University, Tokyo, Japan
Despite huge investments of time and money as well as decades of research into classroom methodology, the English proficiency of Japanese students arguably remains less than satisfactory, with recent surveys finding that Japan has fallen significantly behind South Korea, Vietnam, and China. Such results seem to reflect comments heard amongst expatriate instructors of English who work in Japan that express frustration at getting Japanese students to participate. Research has found that it is often the western instructors’ unfamiliarity with Japanese styles of learning and classroom interaction patterns that results in less-than-ideal engagement. The pronounced tendency to instruct students from a view which prioritizes the native speakers cultural assumptions, may in turn be linked to how heavily politicized English education in Japan has been in the post-war era.
standardized testing, TOEIC, political environment, hegemony, critical discourse analysis.
Tatiana (Anastasia) Kyttaroudi and Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece
Despite the world’s generalized stability, new technologies have affected every aspect of everyday life, from transportation and communication to military capabilities. The new possibilities technologies like Artificial Intelligence have introduced, along with the unexplored aspects they entail, present an unprecedented multi-faceted reality in the military domain. Weaponized technologies are being developed in parallel with defensive capabilities, enabling a race between the two and between the states that engage in relevant research. These novelties raise a new modus operandi on the conventional battlefield and in cyberspace, reshaping the very nature of war. Incorporating AI-enabled offensive technologies in war is followed by unfamiliar benefits, challenges, legal and ethical questions. In this paper, some of the most common AI-enabled technologies used in warfare will be discussed, with relevant case studies and some of the major states’ national developments, all while presentingthe benefits and challenges of integrating cutting-edge technologies in the military sphere.
AI warfare, AI nuclear security, AI cyber warfare, combat AI.
Samira Sorayaasa1 and Majid Ahmadi2,FIEEE, FIET, Department of Electrical and Computer Engineering, University of Windsor, Windsor, Ontario, Canada
Hyperbolic tangent (Tanh) activation function is used in multilayered artificial neural networks (ANN). This activation function contains exponential and division terms in its expressions which makes it accurate digital implementation difficult. In this paper we present two different approximation techniques for digital implementation of Tanh function using power of two and coordinate rotation digital computer (CORDIC) methods. A comparative study of both techniques in terms of accuracy of their approximation in hardware costs as well as speed of their implementations on FPGA is also explained.
ANNs, Tanh, activation function, approximation with power of two, CORDIC algorithm, FPGA, optimization, hardware resource, latency, error.
Xi Deng1, Shasha Li1, Jie Yu1, Jun Ma1, Bin Ji1, Wuhang Lin1,Shezheng Song1 and Zibo Yi2, 11College of Computer, National University of Defense Technology, Changsha, China, 12Information Research Center of Military Science PLA Academy of Military Science, Beijing, China
The task of predicting the acceptance of academic papers is of great significance for novices in the field of dissertation writing. Besides paper texts, most existing models rely on additional information without focusing on the writing style of the paper texts. More importantly, these models make fewer attempts to exploit the interactions and aggregations in the hierarchical structure of the paper text. To address these issues, we propose a novel modular hierarchical model(MHM) to make predictions of paper acceptance. The input to our model is only the original paper, and no other extra information is required. We capture the hierarchical structure of paper texts with three encoders: a WtoS encoder, a StoP encoder, and a paper encoder. To this end, the WtoS encoder uses the pre-trained language model SciBERT to obtain the sentence representation from the word representation. The StoP encoder lets sentences in the same paragraph interact and aggregates them to get paragraph embeddings based on importance scores. The paper encoder does interaction among different hierarchical structures of three modules of a paper text: the paper title, abstract sentences, and body paragraphs. Then this encoder aggregates new representations generated into a compact vector. In addition, the paper encoder models the guiding role of the title and abstract, respectively, generating another two compact vectors. We concatenate the above three compact vectors and additional four manual features to obtain the paper representation. This representation is then fed into a classifier to obtain the acceptance decision. Experimental results on a large-scale dataset show that our model consistently outperforms the previous strong baselines in four evaluation metrics. Quantitative and qualitative analyses further validate the superiority of our model.
Acceptance, Academic Papers, Modular, Hierarchical, Interact./p>
Sakshi Gupta, Assistant Professor, Department of Commerce, Sanatan Dharam Mahila Mahavidyalaya, Hansi (Haryana) India
on the Advice of the Narasimhan Working Committee, Regional Rural Banks Were Created in 1975. Rrbs Primary Goal is to Give Rural Credit to the Rural Sector of Society. After Amalgamation, Rrbs Reduced the Total Number to 82 in March 2011. During 2012-2013, 31 Rrbs Merged Into 13 Rrbs, Bringing the Overall Number of Rrbs to 64 in March 2013. However, There Are Currently 43 Rrbs in India. The Central Government Contributes 50% of the Entire Capital of Rrbs, the State Government Contributes 15%, and Sponsor Banks Contribute 35%. This Study Helps in Measuring the Growth and Performance of Rrbs in India. The Study Covers the Years From 2016-17 to 2020-21, and the Statistical Tools Involved in This Work Are Growth Rate, Aagr, and Cagr. The Data for This Research Was Gathered From the Annual Reports of Nabard.
Performance, Growth, Average annual growth, Compound annual growth.
Hagar Gamal Khouder, Department of languages, The American University in Cairo, School of Continuing Education, Cairo, Egypt
This paper aims to show how pedagogy influences the learning process, and how the use of ICT tools has a significant positive impact on enhancing the educational environment. ICT tools are required to be used in the modern era because the current generation is tech-savvy and the use of technological devices is indispensable. The use of e-learning became obvious, especially after the pandemic, which prompted extensive research on the proper use of multiple platforms to achieve the interactive learning that educators desired while being apart. Additionally, incorporating AI into the learning process could have a significant impact on improving learning, as well as ask for a multidimensional transformation of both students and educators. However, the use of AI is not entirely independent because students mindsets need to be changed to help them feel like they are in control of their own learning to make them active participants and active citizens.
Third-Space Learning, Multidimensional Learning, Transformative Change, Learning Pedagogy, Toolkits.
Copyright © CSITA 2023