Engineering International

Journal Information
EISSN : 2409-3629
Published by: ABC Journals (10.18034)
Total articles ≅ 129
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Myung Suh Choi, Irene Chon, Katherine Lee, Kevin Kang, Juno Kim, Eddie Bae
Published: 2 April 2021
Engineering International, Volume 9, pp 29-40; https://doi.org/10.18034/ei.v9i1.527

Abstract:
Vulnerable populations, such as patients with mental illnesses, are known to be overly influenced during disasters and pandemics. However, little is known about how people with autism spectrum disorder (ASD), one of the most common neurodevelopmental conditions in the world with a prevalence of 1%, are affected by health-related disasters, particularly the current Covid-19 pandemic. We investigated how individuals with ASD responded to Covid-19 in terms of comprehension and adherence to implemented measures; changes in their behavioral problems; and how the anxiety levels of their caregivers relate to these behavioral changes. Our sample consisted of 50 individuals with ASD (30 male and 20 female; ages ranged from 3 to 14). The majority of our participants had trouble grasping what Covid-19 is and the measurements it necessitates. They also encountered difficulties in implementing pandemic-related social distance and hygiene regulations. During this time, the majority of students stopped receiving special education. In terms of increased stereo-types, aggression, hypersensitivity, behavioral problems, and sleep and appetite changes, we observed a Covid-19-related clinical presentation that resembled PTSD in individuals with ASD. Aberrant Behavior Checklist (ABC) subscales differed significantly before and after the pandemic conditions. There were differences among the caregivers’ anxiety levels between the current behavioral problem levels to the behavioral problem levels prior to the pandemic. The difference in ABC total score, and specifically the lethargy/social withdrawal subscale score, predicted the anxiety score of the parents. Our findings suggest that the Covid-19 period poses unique challenges for people with ASD and their caregivers, emphasizing the importance of targeted, distance special education interventions and other support services for this population.
Ruhul Amin, Siddhartha Vadlamudi
Published: 2 April 2021
Engineering International, Volume 9, pp 41-50; https://doi.org/10.18034/ei.v9i1.529

Abstract:
Cloud data migration is the process of moving data, localhost applications, services, and data to the distributed cloud processing framework. The success of this data migration measure is relying upon a few viewpoints like planning and impact analysis of existing enterprise systems. Quite possibly the most widely recognized process is moving locally stored data in a public cloud computing environment. Cloud migration comes along with both challenges and advantages, so there are different academic research and technical applications on data migration to the cloud that will be discussed throughout this paper. By breaking down the research achievement and application status, we divide the existing migration techniques into three strategies as indicated by the cloud service models essentially. Various processes should be considered for different migration techniques, and various tasks will be included accordingly. The similarities and differences between the migration strategies are examined, and the challenges and future work about data migration to the cloud are proposed. This paper, through a research survey, recognizes the key benefits and challenges of migrating data into the cloud. There are different cloud migration procedures and models recommended to assess the presentation, identifying security requirements, choosing a cloud provider, calculating the expense, and making any essential organizational changes. The results of this research paper can give a roadmap for data migration and can help decision-makers towards a secure and productive migration to a cloud computing environment.
Siddhartha Vadlamudi
Published: 2 April 2021
Engineering International, Volume 9, pp 17-28; https://doi.org/10.18034/ei.v9i1.526

Abstract:
The evolvement of IT has open new doors in connecting many devices to the worldwide web that successively produce data around the physical setting using the IoT. However, the system of message turns out to be slightly intricate in human specialization-internet of things communication for the reason that the IoT is a system including diverse objects transferring data This study examines the hypothetical pathway by which the changes in source attribution that is multiple against single and specialization that is multi-functionality against single functionality of IoT devices affect the quality of human- internet of things interaction. The result from the study obtained from 80 participants that took part in the experiment shows that multiple source attribution improves the condition of information basically for the low-involvement people supports further probes the multiple source effects. However, this study recommends improvement of attribution source and human specialization-IoT.
S. M. Shahidul Islam, A. A. K. Majumdar
Published: 1 April 2021
Engineering International, Volume 9, pp 9-16; https://doi.org/10.18034/ei.v9i1.515

Abstract:
Recent literature considers the variant of the classical Tower of Hanoi problem with n (³ 1) discs, where r (1 £ r < n) discs are evildoers, each of which can be placed directly on top of a smaller disc any number of times. Letting E(n, r) be the minimum number of moves required to solve the new variant, an explicit form of E(n, r) is available which depends on a positive integer constant N. This study investigates the properties of N.
Apoorva Ganapathy, Adobe Systems
Published: 1 January 2021
Engineering International, Volume 9, pp 61-72; https://doi.org/10.18034/ei.v9i2.549

Abstract:
Quantum Computing in high-frequency trading and fraud detection is an analysis of quantum computing and how it can be used by the different industries especially finance. It is an evolution of computing from the traditional computing method. Quantum computing is a process that is concentrated on creating systems and technology based on quantum theory rules. Quantum theory describes the energy on atomic and subatomic levels. Quantum computing uses quantum bits (qubits) which are more advanced than the traditional bits used by traditional computers. This article focuses on deploying quantum computers in solving problems that cannot be efficiently solved using traditional computers. In the finance sector, such as banking, insurance, and high-frequency trading, quantum computers can help optimize service by providing targeting and predictive analytics to reduce risk, provide personalized customer service, and provide the needed security framework against fraud.
Apoorva Ganapathy, Takudzwa Fadziso
Published: 15 November 2020
Engineering International, Volume 8, pp 101-110; https://doi.org/10.18034/ei.v8i2.554

Abstract:
An issue that the majority of the databases face is the static and manual character of indexing activities. This traditional method of indexing and sorting different topics is confirmed to shake the dataset performance somewhat, making downtime and a potential effect in the presentation that is normally addressed by manually indexing operations. Numerous data mining methods can accelerate this process by using proper indexing structures. Choosing the appropriate index generally relies upon the kind of operation that the algorithm performs against the dataset. Topic indexing is the operation of recognizing the principal topics covered by a document. These are helpful for some reasons: as subject headings in libraries, as keywords in scholarly articles, and as hashtags on social media platforms. Knowing a document’s topic assists individuals with deciding its importance quickly. In any case, assigning topics manually is a tedious and redundant task. This paper shows the best way to create them automatically in a way that contends with manual indexing done by humans. This paper also talks about the issues and the techniques for identifying applicable data in a huge variety of documents. The contribution of this thesis to this issue is to foster better content analysis techniques that can be utilized to describe document content with automated index terms. Index terms can be used as meta-data that defines documents and is utilized for seeking various topics. The main point of this paper is to show the way toward creating an automatic indexer which analyzes the topic of documents by integrating proof from word frequencies and proof from the linguistic analysis given by a syntactic parser. The indexer weighs the expressions of a document as per their assessed significance for depicting the topic of a given document based on the content analysis.
Ryan Thomas Williams
Published: 15 November 2020
Engineering International, Volume 8, pp 61-72; https://doi.org/10.18034/ei.v8i2.506

Abstract:
There is a large body of international research on raising the quality of education, with particular emphasis on CPD to support professional and pedagogical growth. From an educator’s perspective, there is widespread agreement that effective CPD is an important component of educational success. Therefore, it is unsurprising that research interest in this area has grown, particularly in light of the digital agenda. In a TEL context, educators report one of the main barriers to effective use is the lack of training in this area. This review of literature will examine some of the key ideas that form successful TEL CPD delivery, more specifically with relation to transformative models of CPD. Likewise, the section attempts to understand the context in which educators are operating and make sense of the challenges that relate to continuing professional development (CPD). In order to fully explore this phenomenon, personal development (PD) frameworks are explored, with a specific focus on Aileen Kennedy’s (2005) 9 typologies.
Mostafijur Rahman, Ruhul Amin
Published: 15 November 2020
Engineering International, Volume 8, pp 53-60; https://doi.org/10.18034/ei.v8i2.500

Abstract:
When writing about the history of the internet, it is important to note that aerospace was among the significant pioneers in computer networking computer network for private was used in first airline reservation system “SABRE” in 1960 for American airlines. While sage was the first computer system in the world, its deficiencies led to the development of ARPANET. These systems formed the foundations for the internet and the development of other computer programs in aerospace, any deficiency led to the invention of a new program, giving birth to programming, CAD, and CAM that brought about simulations. Aerospace computing has evolved over the years and is now carrying the whole weight of the aerospace industry. Before the launch of any space vehicle or satellite, simulation has become a necessary step, checking for weaknesses for corrections to be done on the ground. Besides, computer simulation has been essential in training, facilitating the training of pilots worldwide. This article presents more information regarding the application of AI in aerospace computing, flight simulations, and their advantages in the aerospace industry.
Siddhartha Vadlamudi
Published: 15 November 2020
Engineering International, Volume 8, pp 87-100; https://doi.org/10.18034/ei.v8i2.522

Abstract:
The demand for agricultural crops is moving at a slower pace compared to the human population. There must be increased agricultural productivity. Ongoing innovative advances have added to the ascent of exactness agribusiness, empowering farmers to settle on better choices with more data about their soil, water, yield, and local environment, yet has been generally restricted to popularized and production of cash crops. The objective of smart agribusiness research is to ground a dynamic emotionally supportive network for the management of farms. IoT is being used in agriculture to get to know the crop field by utilizing sensors for monitoring, controlling in the field. It is used to get to know the crop field by utilizing sensors for monitoring, controlling in the field, etc. Recent developments in IoT, comparison between traditional and smart agriculture, and the roles of IoT in agriculture were analyzed in this study. The articles were purposively inspected while the qualitative data gathered was dissected utilizing content analysis. Summarily, the rise of smart agriculture has lowered the practice of traditional farming, as it has enhanced it in no small way. The research likewise showed that the lacuna in agriculture can be filled with IoT. Scalability in technology should be encouraged without affecting the functionalities of the existing infrastructures.
S. M. Shahidul Islam, Risat Hossain, Mst. Jamila Yasmin
Published: 15 November 2020
Engineering International, Volume 8, pp 73-86; https://doi.org/10.18034/ei.v8i2.505

Abstract:
Green supply chain management coordinates environment issues into the supply chain business. It has been popular to both academicians and practitioners. Smooth supply of processed agricultural products is essential for human beings and pets. In some models, excess raw materials, byproducts and defected products are kept neglected in producing and marketing finished products. Here, we have presented a three-tier green supply chain model for an agricultural product where byproducts are used for some purposes. Solution procedure of the model is derived. We have demonstrated the model using two numerical example problems.
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