• Title/Summary/Keyword: mitigate

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The Belt and Road Initiative (BRI): Opportunities and Risks from Vietnamese Perspective

  • NGUYEN, Long Duc Bao;LY, Tracy Trang;TRAN, Doan Cong;TRAN, Ai Van;LE, An Quoc;HUDSON, Alan
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.4
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    • pp.229-238
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    • 2022
  • The goal of this research is to look at the Belt and Road Initiative's (BRI) goals, principles, and priorities, as well as criticisms and concerns. Another goal is to determine the Vietnamese government's best response to the BRI. Finally, the study looks at the Vietnamese viewpoint. Document review is used in conjunction with PESTELED analysis and EIU country risk model technique in this study. The study is focused on in-depth interviews with 38 top government leaders, researchers, and scholars by adopting the Delphi technique to determine major factors of risks and opportunities as well as obtain a clearer view on the Vietnamese perspective of the BRI. The main conclusion is that Vietnam's participation in the BRI could result in a variety of benefits and risks, including economic development, connectivity and integration, development finance, cooperation, coordination, trade facilitation, and people-to-people communication, as well as diplomatic and political risks, financial risks, environmental challenges, and job creation. Another conclusion is suggested that careful and case-by-case negotiation with China is needed for Vietnam to exploit the future benefits of BRI. There is a need to set up the strategy to mitigate the risk impacts, reduce the risk level, avoid risk, at last turn the risk into opportunities.

Addressing the Item Cold-Start in Recommendation Using Similar Warm Items (유사 아이템 정보를 이용한 콜드 아이템 추천성능 개선)

  • Han, Jungkyu;Chun, Sejin
    • Journal of Korea Multimedia Society
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    • v.24 no.12
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    • pp.1673-1681
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    • 2021
  • Item cold start is a well studied problem in the research field of recommender systems. Still, many existing collaborative filters cannot recommend items accurately when only a few user-item interaction data are available for newly introduced items (Cold items). We propose a interaction feature prediction method to mitigate item cold start problem. The proposed method predicts the interaction features that collaborative filters can calculate for the cold items. For prediction, in addition to content features of the cold-items used by state-of-the-art methods, our method exploits the interaction features of k-nearest content neighbors of the cold-items. An attention network is adopted to extract appropriate information from the interaction features of the neighbors by examining the contents feature similarity between the cold-item and its neighbors. Our evaluation on a real dataset CiteULike shows that the proposed method outperforms state-of-the-art methods 0.027 in Recall@20 metric and 0.023 in NDCG@20 metric.

Adopting the Electronic Services in the Light of Coved 19 from Employees' Perceptive in Karak University College

  • Allahawiah, Sattam;Altarawneh, Haroon;nawaiseh, Kafa al
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.389-399
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    • 2022
  • This study aims to investigate and analyze the impact of the COVID-19 pandemic on the adopt electronic services in education sector in Jordan, where the COVID-19 pandemic has left huge threats in terms of health and led to a significant decrease in economic output and a rise in unemployment. This study also aims to know the steps taken by the Jordanian governments and higher education ministry and universities to overcome this crisis and mitigate the economic and financial impacts that would enhance the resilience of the education sector. To achieve the goal of the study, both methods of deductive and inductive analysis were used, which helped us to systematically consider the economic and other consequences of the COVID-19 pandemic, such as statistical analyses and other tools that helped us in this study. The results of this study, showed that the COVID-19 pandemic led to a significant increase in adopt electronic services in education sector in Jordan, and decline in economic growth, a significant rise in unemployment, an increase in market instability, and a decrease in the financial position of companies. The recommendations concluded that Jordan should begin to change its policies according to the new data, and take Measures to advance the education sector by relay on electronic services and directing investment in education sector through saving policies and infrastructure equipment in parallel with the population boom in Jordan.

Studies on CFST column to steel beam joints using endplates and long bolts under central column removal

  • Gao, Shan;Yang, Bo;Guo, Lanhui;Xu, Man;Fu, Feng
    • Steel and Composite Structures
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    • v.42 no.2
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    • pp.161-172
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    • 2022
  • In this paper, four specimens of CFST column joints with endplates and long bolts are tested in the scenario of progressive collapse. Flush endplate and extended endplate are both adopted in this study. The experimental results show that increasing the thickness of the endplate could improve the behavior of the joint, but delay the mobilization of catenary action. The thickness of the endplate should not be relatively thick in comparison to the diameter of the bolts, otherwise catenary action would not be mobilized or work effectively. Effective bending deformation of the endplate could help the formation and development of catenary action in the joints. The performance of flexural action in the joint would affect the formation of catenary action in the joint. Extra middle-row bolts set at the endplates and structural components set below the bottom beam flange should be used to enhance the robustness of joints. A special weld access hole between beam and endplate should be adopted to mitigate the chain damage potential of welds. It is suggested that the structural components of joints should be independent of each other to enhance the robustness of joints. Based on the component method, a formula calculating the stiffness coefficient of preloaded long bolts was proposed whose results matched well with the experimental results.

Investigation on alkalinity of pore solution and microstructure of hardened cement-slag pastes in purified water

  • Hu, Ya-Ru;Zuo, Xiao-Bao;Li, Xiang-Nan;Jiang, Dong-Qi
    • Advances in concrete construction
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    • v.12 no.6
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    • pp.507-515
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    • 2021
  • To evaluate the influence of slag on the alkalinity of pore solution and microstructure of concrete, this paper performs a leaching experiment on hardened cement-slag pastes (HCSP) slice specimens with different slag content in purified water. The pH value of pore solution, average porosity, morphology, phase composition and Ca/Si of HCSP specimens in the leaching process are measured by solid-liquid extraction, saturated-dried weighing, scanning electron microscopy-energy dispersive spectrometry (SEM-EDS) and X-ray diffraction (XRD). Results shows that the addition of slag can mitigate an increase in porosity and a decrease in Ca/Si of HCSP in the leaching process. Besides, an appropriate slag content can improve the microstructure so as to obtain the optimum leaching resistance of HCSP, which can guarantee the suitable alkalinity of pore solution to prevent a premature corrosion of reinforced bar. The optimum slag content is 40% in HCSP with a water-binder ratio of 0.45, and an excessive slag causes a significant decrease in the alkalinity of pore solution, resulting in a loss of protection on reinforced bar in HCSP.

Empirical Risk Assessment in Major Graphical Design Software Systems

  • Joh, HyunChul;Lee, JooYoung
    • Journal of Multimedia Information System
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    • v.8 no.4
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    • pp.259-266
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    • 2021
  • Security vulnerabilities have been reported in major design software systems such as Adobe Photoshop and Illustrator, which are recognized as de facto standard design tools in most of the design industries. Companies need to evaluate and manage their risk levels posed by those vulnerabilities, so that they could mitigate the potential security bridges in advance. In general, security vulnerabilities are discovered throughout their life cycles repeatedly if software systems are continually used. Hence, in this study, we empirically analyze risk levels for the three major graphical design software systems, namely Photoshop, Illustrator and GIMP with respect to a software vulnerability discovery model. The analysis reveals that the Alhazmi-Malaiya Logistic model tends to describe the vulnerability discovery patterns significantly. This indicates that the vulnerability discovery model makes it possible to predict vulnerability discovery in advance for the software systems. Also, we found that none of the examined vulnerabilities requires even a single authentication step for successful attacks, which suggests that adding an authentication process in software systems dramatically reduce the probability of exploitations. The analysis also discloses that, for all the three software systems, the predictions with evenly distributed and daily based datasets perform better than the estimations with the datasets of vulnerability reporting dates only. The observed outcome from the analysis allows software development managers to prepare proactively for a hostile environment by deploying necessary resources before the expected time of vulnerability discovery. In addition, it can periodically remind designers who use the software systems to be aware of security risk, related to their digital work environments.

Buffer Overflow Attack and Defense Techniques

  • Alzahrani, Sabah M.
    • International Journal of Computer Science & Network Security
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    • v.21 no.12
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    • pp.207-212
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    • 2021
  • A buffer overflow attack is carried out to subvert privileged program functions to gain control of the program and thus control the host. Buffer overflow attacks should be prevented by risk managers by eradicating and detecting them before the software is utilized. While calculating the size, correct variables should be chosen by risk managers in situations where fixed-length buffers are being used to avoid placing excess data that leads to the creation of an overflow. Metamorphism can also be used as it is capable of protecting data by attaining a reasonable resistance level [1]. In addition, risk management teams should ensure they access the latest updates for their application server products that support the internet infrastructure and the recent bug reports [2]. Scanners that can detect buffer overflows' flaws in their custom web applications and server products should be used by risk management teams to scan their websites. This paper presents an experiment of buffer overflow vulnerability and attack. The aims to study of a buffer overflow mechanism, types, and countermeasures. In addition, to comprehend the current detection plus prevention approaches that can be executed to prevent future attacks or mitigate the impacts of similar attacks.

A Review on the Usage of RTKLIB for Precise Navigation of Unmanned Vehicles

  • Lim, Cheolsoon;Lee, Yongjun;Cho, Am;Park, Byungwoon
    • Journal of Positioning, Navigation, and Timing
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    • v.10 no.4
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    • pp.243-251
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    • 2021
  • Real-Time Kinematic (RTK) is a phase-based differential GNSS technique and uses additional observations from permanent reference stations to mitigate or eliminate effects like atmospheric delays or satellite clocks and orbit errors. In particular, as the position accuracy required in the fields of autonomous vehicles and drones is gradually increasing, the demand for RTK-based precise navigation that can provide cm-level position is increasing. Recently, with the rapid growth of the open-source software market, the use of open-source software for building navigation system of unmanned vehicles, which is difficult to mount an expensive GNSS receivers, is gradually increasing. RTKLIB is an open-source software package that can perform RTK positioning and is widely used for research and education purposes. However, since the performance and stability of RTK algorithm of RTKLIB is inevitably inferior to that of commercial GNSS receivers, users need to verify whether RTKLIB can satisfy the navigation performance requirements of unmanned vehicles. Therefore, in this paper, the performance evaluation of the RTK positioning algorithm of RTKLIB was performed using GNSS observation data acquired in a dynamic environment. Therefore, in this paper, the RTK positioning performance of RTKLIB was evaluated using GNSS observation data acquired in a dynamic environment. Our results show that the current RTK algorithm of RTKLIB is not suitable for precise navigation of unmanned vehicles.

A Study on the Correlation Analysis between the Daily Earthwork Volume and Fine Dust Concentration

  • Dong-Myeong, CHO;Ju-Yeon, LEE;Tae-Hwan, JEONG;Woo-Taeg, KWON
    • Journal of Wellbeing Management and Applied Psychology
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    • v.6 no.1
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    • pp.1-7
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    • 2023
  • Purpose: Fine dust is classified as a group 1 carcinogen and poses a significant environmental problem that urgently requires improvement to protect the environmental rights of citizens. Given the difficulty of implementing measures to reduce overseas sources of fine dust, it is essential to first devise specific measures to address domestic emission sources. As such, this study aims to analyze the correlation between earthwork volume control and fine dust concentration as preliminary management measures to reduce the impact of scattering dust at construction sites. Based on real-time air quality information, field management measures will be presented to mitigate the effects of dust emissions. Research design, data and methodology: As examples, we selected construction sites that had recently undergone small-scale environmental impact assessment consultations. The standard earthwork volume was classified into grades using 20% intervals, and we applied AERMOD to predict the weighted concentration of fine dust based on the earthwork volume class and analyzed its correlation. Results: The results of this study demonstrate a strong correlation between earthwork volume and fine dust concentration. By utilizing the correlation analysis between earthwork volume and fine dust concentration on-site, this finding can be utilized as an effective fine dust management plan. Conclusions: This involves determining the daily earthwork intensity based on real-time air quality information and implementing measures to reduce scattering dust.

Diagnosing a Child with Autism using Artificial Intelligence

  • Alharbi, Abdulrahman;Alyami, Hadi;Alenzi, Saleh;Alharbi, Saud;bassfar, Zaid
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.145-156
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    • 2022
  • Children are the foundation and future of this society and understanding their impressions and behaviors is very important and the child's behavioral problems are a burden on the family and society as well as have a bad impact on the development of the child, and the early diagnosis of these problems helps to solve or mitigate them, and in this research project we aim to understand and know the behaviors of children, through artificial intelligence algorithms that helped solve many complex problems in an automated system, By using this technique to read and analyze the behaviors and feelings of the child by reading the features of the child's face, the movement of the child's body, the method of the child's session and nervous emotions, and by analyzing these factors we can predict the feelings and behaviors of children from grief, tension, happiness and anger as well as determine whether this child has the autism spectrum or not. The scarcity of studies and the privacy of data and its scarcity on these behaviors and feelings limited researchers in the process of analysis and training to the model presented in a set of images, videos and audio recordings that can be connected, this model results in understanding the feelings of children and their behaviors and helps doctors and specialists to understand and know these behaviors and feelings.