• Title/Summary/Keyword: benefits and challenges

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CMTO: An Inquiry into the Activation for Real Estate Security Token of the Digital Asset Hour (CMTO: 디지털 자산 시대의 부동산 토큰 증권 활성화 방안 연구)

  • Jeongmin Lee;Minhyuk Lee
    • Journal of Information Technology Services
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    • v.22 no.4
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    • pp.81-95
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    • 2023
  • The emergence of Security Token has revolutionized the way assets are traded, bringing efficiency, transparency, and accessibility to the market. However, the Real Estate Security Token market faces challenges, particularly in terms of liquidity. The CMTO(Collateralized Mortgage Token Obligation) model addresses this issue by introducing a novel approach that combines the benefits of NFT(Non-Fungible Token), STO(Security Token Offering), and CMO(Collateralized Mortgage Obligation) techniques to enhance liquidity and promote investment in Real Estate Security Token. The CMTO framework functions by allowing DABS token investors to leverage their tokens as collateral for loans. These token-collateralized loans are pooled together and form the basis for issuing Sequential CMO named CMTO. The CMTO represent a diversified portfolio of token-collateralized loans, providing investors with options based on their financial goals and risk preferences. By implementing CMTO, the Real Estate Security Token market can overcome liquidity challenges, attract a broader range of investors, and unlock the full potential of digital assets in the real estate industry.

Applications and Challenges of Deep Learning and Non-Deep Learning Techniques in Video Compression Approaches

  • K. Siva Kumar;P. Bindhu Madhavi;K. Janaki
    • International Journal of Computer Science & Network Security
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    • v.23 no.6
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    • pp.140-146
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    • 2023
  • A detailed survey, applications and challenges of video encoding-decoding systems is discussed in this paper. A novel architecture has also been set aside for future work in the same direction. The literature reviews span the years 1960 to the present, highlighting the benchmark methods proposed by notable academics in the field of video compression. The timeline used to illustrate the review is divided into three sections. Classical methods, conventional heuristic methods, and current deep learning algorithms are all used for video compression in these categories. The milestone contributions are discussed for each category. The methods are summarized in various tables, along with their benefits and drawbacks. The summary also includes some comments regarding specific approaches. Existing studies' shortcomings are thoroughly described, allowing potential researchers to plot a course for future research. Finally, a closing note is made, as well as future work in the same direction.

A Framework for Agile Development in Cloud Computing Environment

  • Younas, Muhammad;Ghani, Imran;Jawawi, Dayang Norhayati Abang;Khan, Muhammad Murad
    • Journal of Internet Computing and Services
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    • v.17 no.5
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    • pp.67-74
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    • 2016
  • Distributed agile software development faces difficulties for instance lack of visibility across development and delivery processes, complex and disjointed development processes, inability to capitalize on business opportunities, lack of communication agility between disconnected owners, development teams, and users or clients. However these difficulties are solved with the help of cloud computing services. This study proposes a framework to provide a skeletal or structural environment for distributed agile software development in cloud computing environment. The framework guide towards the best tooling to deliver a consistent, automated, governed, and unified agile software development process with reduced technical debt, and minimized project backlog. In addition to this, the study highlights the benefits of cloud computing in agile software development.

Economic Alternative for Volumetric Module Lifting/Offloading (볼류메트릭 모듈 양중 및 인양 대안에 관한 연구)

  • Song, Seung-Ho;Kwon, Woo-Bin;Choi, Jin-Ouk;Cho, Hun-Hee
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.75-76
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    • 2023
  • The construction industry's lack of experience and expertise makes it difficult for projects to realize the full benefits of implementing modular construction. Such project performance-hindering elements are often labeled as modular challenges. The added requirement for the transportation of the finished volumetric module is one aspect of the 'module transportation logistics,' the under-researched modular challenge that can prevent projects from incurring maximum cost and productivity benefits. The typical module transportation phases include lifting, transporting, and offloading. From conducting a literature review, this paper aims to investigate the equipment commonly adopted to lift and offload the module and validate its economic efficiency by comparing it with the alternative lifting/offloading equipment used in the two case projects. The results showed that hydraulic jacks are an economic alternative to the crane for lifting/offloading the module. The increase in single-module projects with smaller budgets made crane usage economically undesirable, and this study suggested a viable option for a more economical alternative.

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Case Analysis of Modeling Lessons

  • Noh, Jihwa
    • East Asian mathematical journal
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    • v.35 no.2
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    • pp.217-237
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    • 2019
  • This Modeling is a cyclical process of creating and modifying models of empirical situations to understand them better and improve decisions. The role of modeling and teaching mathematical modeling in school mathematics has received increasing attention as generating authentic learning and revealing the ways of thinking that produced it. In this paper and interactive lecture session, we will review a subset of the related literature, discuss benefits and challenges in teaching and learning mathematical modeling, and share our attempts to improve traditional textbook problems so that they can become more authentic modeling activities and implications for instruction and assessment as well as for research.

Managing Knowledge Creating Relationships

  • Gadman, Sean
    • International Journal of Quality Innovation
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    • v.6 no.2
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    • pp.46-58
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    • 2005
  • The internet is enabling a new economy based on the networking of human knowledge. While the benefits of connecting people to people, people to information and people to data within an organization are becoming more recognized and appreciated, much less is known about managing knowledge creation and dissemination across corporate boundaries. This paper addresses the challenges associated with selecting the best collaborative strategy and managing relationships which span organizational cultures and boundaries.

Micro Fuel Cells for the Portable Applications

  • Moon, Go-Young;Lee, Won-Ho
    • Korean Membrane Journal
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    • v.5 no.1
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    • pp.1-9
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    • 2003
  • Due to the increasing intelligence, the increasing connectivity, and always-on characteristics energy needs for the portable electronics cannot be managed by the state-of-art battery technology. Micro fuel cell fuelled by aqueous methanol is gaining lots of interest from the new energy storage developers since it has the potential to offer the longer operation time to the portable electronic devices. Although the technical barriers to the commercialization exit, it is expected that the micro fuel cell technology bring huge benefits to the current energy storage market once it matures. In the article, benefits, challenges and market players of the direct methanol fuel cell arena is briefly reviewed.

Perceived Susceptibility, and Cervical Cancer Screening Benefits and Barriers in Malaysian Women Visiting Outpatient Clinics

  • Baskaran, Pryma;Subramanian, Pathmawathi;Rahman, Rasnah Abdul;Ping, Wong Li;Taib, Nur Aishah Mohd;Rosli, Roshaslina
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.12
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    • pp.7693-7699
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    • 2013
  • Aims: A main reason for increasing incidence of cervical cancer worldwide is the lack of regular cervical cancer screening. Coverage and uptake remain major challenges and it is crucial to determine the perceived susceptibility to cervical cancer, as well as the benefits of, and barriers to, cervical cancer screening among women. Materials and Methods: A cross-sectional survey was conducted among 369 women attending an outpatient centre in Malaysia and data were collected by administering a self-report questionnaire. Results: The majority of the participants (265, 71.8%) showed good level of perception of their susceptibility to cervical cancer. Almost all responded positively to four statements about the perceived benefits of cervical cancer screening (agree, 23.1% or strongly agree, 52.5%), whereas negative responses were received from most of the participants (agree, 29.9%or strongly agree, 14.6 %) about the eleven statements on perceived barriers. Significant associations were observed between age and perceived susceptibility($x^2$=9.030, p=0.029); between employment status (p<0.001) as well as ethnicity and perceived benefits (p<0.05 [P=0.003]); and between education and perceived barriers to cervical cancer screening (p<0.001). Conclusions: Perceived susceptibility, including knowledge levels and personal risk assessment, should be emphasized through education and awareness campaigns to improve uptake of cervical cancer screening in Malaysia.

Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning

  • Gil-Sun Hong;Miso Jang;Sunggu Kyung;Kyungjin Cho;Jiheon Jeong;Grace Yoojin Lee;Keewon Shin;Ki Duk Kim;Seung Min Ryu;Joon Beom Seo;Sang Min Lee;Namkug Kim
    • Korean Journal of Radiology
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    • v.24 no.11
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    • pp.1061-1080
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    • 2023
  • Artificial intelligence (AI) in radiology is a rapidly developing field with several prospective clinical studies demonstrating its benefits in clinical practice. In 2022, the Korean Society of Radiology held a forum to discuss the challenges and drawbacks in AI development and implementation. Various barriers hinder the successful application and widespread adoption of AI in radiology, such as limited annotated data, data privacy and security, data heterogeneity, imbalanced data, model interpretability, overfitting, and integration with clinical workflows. In this review, some of the various possible solutions to these challenges are presented and discussed; these include training with longitudinal and multimodal datasets, dense training with multitask learning and multimodal learning, self-supervised contrastive learning, various image modifications and syntheses using generative models, explainable AI, causal learning, federated learning with large data models, and digital twins.

3D Printing in Modular Construction: Opportunities and Challenges

  • Li, Mingkai;Li, Dezhi;Zhang, Jiansong;Cheng, Jack C.P.;Gan, Vincent J.L.
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.75-84
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    • 2020
  • Modular construction is a construction method whereby prefabricated volumetric units are produced in a factory and are installed on site to form a building block. The construction productivity can be substantially improved by the manufacturing and assembly of standardized modular units. 3D printing is a computer-controlled fabrication method first adopted in the manufacturing industry and was utilized for the automated construction of small-scale houses in recent years. Implementing 3D printing in the fabrication of modular units brings huge benefits to modular construction, including increased customization, lower material waste, and reduced labor work. Such implementation also benefits the large-scale and wider adoption of 3D printing in engineering practice. However, a critical issue for 3D printed modules is the loading capacity, particularly in response to horizontal forces like wind load, which requires a deeper understanding of the building structure behavior and the design of load-bearing modules. Therefore, this paper presents the state-of-the-art literature concerning recent achievement in 3D printing for buildings, followed by discussion on the opportunities and challenges for examining 3D printing in modular construction. Promising 3D printing techniques are critically reviewed and discussed with regard to their advantages and limitations in construction. The appropriate structural form needs to be determined at the design stage, taking into consideration the overall building structural behavior, site environmental conditions (e.g., wind), and load-carrying capacity of the 3D printed modules. Detailed finite element modelling of the entire modular buildings needs to be conducted to verify the structural performance, considering the code-stipulated lateral drift, strength criteria, and other design requirements. Moreover, integration of building information modelling (BIM) method is beneficial for generating the material and geometric details of the 3D printed modules, which can then be utilized for the fabrication.

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