• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.347-351
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• 2022

The article is devoted to the formation of approaches to improving the system of administration of customs payments in modern conditions. It is established that important components of the administration of customs payments are customs expertise, customs value assessment, and control over the declaration of goods to ensure the completeness and timeliness of customs duties payments to the budget. It is found that the practice of customs administration shifts the emphasis of foreign trade regulation to the use of the principles of work implying the use of the latest technologies for the preliminary electronic exchange of information, remote customs clearance of goods without the physical presence of an official, and consistent application of risk management. It is established that an important place in the structure of the state authorities regulating the foreign economic activity is given to the customs service. Furthermore, the existing problems in the implementation of international trade operations necessitate the improvement of approaches to the customs regulation of export-import activities of enterprises.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.297-309
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• 2022

Taking into account the globalization of the economy and the intensification of European integration processes, it has been proved that an important part of evaluating the effectiveness of activity of public sector enterprises should be a comparative analysis of the overall operation environment, namely public procurement, economic environment and tax policy, with the relevant systems of other countries of the world. The indicators and components of international ratings "Doing Business", "Paying Taxes", "Benchmarking Public Procurement" have been studied. Different groups of indicators forming "Doing Business" and "Paying Taxes" in the context of the impact on public sector enterprises have been identified: those which fully comply with the need to evaluate the operating environment of public sector enterprises and those which should be used with restrictions, regarding the peculiarities of creating and functioning of public sector enterprises. A comparative analysis of the place of Ukraine, Lithuania and Slovenia among other countries of the world in accordance with the international rankings of "Doing Business", "Paying Taxes", "Benchmarking Public Procurement" have been made. It has been substantiated that the results of such comparative analysis will allow identifying risk areas, and relevant information can be used in developing of recommendations for improving the effectiveness of activity of public sector enterprises.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.393-399
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• 2009

This paper introduces an automated tool named Advanced Stochastic Schedule Simulation System (AS4). The system automatically integrates CPM schedule data exported from Primavera Project Planner (P3) and historical activity duration data obtained from a project data warehouse, computes the best fit probability distribution functions (PDFs) of historical activity durations, assigns the PDFs identified to respective activities, computes the optimum number of simulation runs, simulates the schedule network for the optimum number of simulation runs, and estimates the best fit PDF of project completion times (PCTs). AS4 improves the reliability of simulation-based scheduling by effectively dealing with the uncertainties of the activities' durations, increases the usability of the schedule data obtained from commercial CPM software, and effectively handles the variability of the PCTs by finding the best fit PDF of PCTs. It is designed as an easy-to-use computer tool programmed in MATLAB. AS4 encourages the use of simulation-based scheduling because it is simple to use, it simplifies the tedious and burdensome process involved in finding the PDFs of the many activities' durations and in assigning the PDFs to the many activities of a new network under modeling, and it does away with the normality assumptions used by most simulation-based scheduling systems in modeling PCTs.

• Journal of Information Processing Systems
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• v.19 no.6
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• pp.730-744
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• 2023

The topic of this paper is the recognition of human activities using egocentric vision, particularly captured by body-worn cameras, which could be helpful for video surveillance, automatic search and video indexing. This being the case, it could also be helpful in assistance to elderly and frail persons for revolutionizing and improving their lives. The process throws up the task of human activities recognition remaining problematic, because of the important variations, where it is realized through the use of an external device, similar to a robot, as a personal assistant. The inferred information is used both online to assist the person, and offline to support the personal assistant. With our proposed method being robust against the various factors of variability problem in action executions, the major purpose of this paper is to perform an efficient and simple recognition method from egocentric camera data only using convolutional neural network and deep learning. In terms of accuracy improvement, simulation results outperform the current state of the art by a significant margin of 61% when using egocentric camera data only, more than 44% when using egocentric camera and several stationary cameras data and more than 12% when using both inertial measurement unit (IMU) and egocentric camera data.

• IMMUNE NETWORK
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• v.21 no.3
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• pp.21.1-21.22
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• 2021

Myeloid-derived suppressor cells (MDSCs) have strong immunosuppressive activity and are morphologically similar to conventional monocytes and granulocytes. The development and classification of these cells have, however, been controversial. The activation network of MDSCs is relatively complex, and their mechanism of action is poorly understood, creating an avenue for further research. In recent years, MDSCs have been found to play an important role in immune regulation and in effectively inhibiting the activity of effector lymphocytes. Under certain conditions, particularly in the case of tissue damage or inflammation, MDSCs play a leading role in the immune response of the central nervous system. In cancer, however, this can lead to tumor immune evasion and the development of related diseases. Under cancerous conditions, tumors often alter bone marrow formation, thus affecting progenitor cell differentiation, and ultimately, MDSC accumulation. MDSCs are important contributors to tumor progression and play a key role in promoting tumor growth and metastasis, and even reduce the efficacy of immunotherapy. Currently, a number of studies have demonstrated that MDSCs play a key regulatory role in many clinical diseases. In light of these studies, this review discusses the origin of MDSCs, the mechanisms underlying their activation, their role in a variety of clinical diseases, and their function in immune response regulation.

• Database Research
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• v.34 no.3
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• pp.137-147
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• 2018

A key to a well-performing human activity recognition (HAR) system through machine learning technique is the availability of a substantial amount of labeled data. Collecting sufficient labeled data is an expensive and time-consuming task. To build a HAR system in a new environment (i.e., the target domain) with very limited labeled data, it is unfavorable to naively exploit the data or trained classifier model from the existing environment (i.e., the source domain) as it is due to the domain difference. While traditional machine learning approaches are unable to address such distribution mismatch, transfer learning approach leverages the utilization of knowledge from existing well-established source domains that help to build an accurate classifier in the target domain. In this work, we propose a transfer learning approach to create an accurate HAR classifier with very limited data through the multitask neural network. The classifier loss function minimization for source and target domain are treated as two different tasks. The knowledge transfer is performed by simultaneously minimizing the loss function of both tasks using a single neural network model. Furthermore, we utilize the unlabeled data in an unsupervised manner to help the model training. The experiment result shows that the proposed work consistently outperforms existing approaches.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.36 no.4
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• pp.30-50
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• 2023

Objectives : To investigate the active compounds and therapeutic mechanisms of Atractylodes Lancea(Thunb.) D.C. and Magnolia Officinalis Rehder et Wilson in the treatment of dermatitis accompanied by pruritus, as well as their potential to complement or replace standard drugs. Methods : We conducted the network pharmacological analysis. We selected effective ingredients among the active compounds of research target herbs. Then we explore pathway/terms of the common target proteins among research target herbs, fexofenadine and disease. Results : We selected 9 active compounds are selected from Atractylodes lancea and identified 231 target proteins. Among them, 74 proteins are associated with inflammatory skin diseases that cause pruritus. These proteins are involved in various pathways including, 'Nitric-oxide synthase regulator activity', 'Hydroperoxy icosatetraenoate dehydratase activity, Aromatase activity', 'RNA-directed DNA polymerase activity', 'Arachidonic acid metabolism', 'Peptide hormone processing', 'Chemokine binding' and 'Sterol biosynthetic process'. Additionally, coregenes are involved in 'IL-17 signaling pathway'. Similarly, we selected 2 active compounds from Magnolia officinalis and identified 133 target proteins. Among them, 33 proteins are related to inflammatory skin diseases that cause pruritus. These proteins are primarily involved in 'Vascular associated smooth muscle cell proliferation' and 'Arachidonic acid metabolism'. There is no significant difference between the pathways in which coregenes are involved. Conclusions : It is expected that Atractylodes Lancea will be able to show direct or indirect anti-pruritus and anti-inflammatory effects on skin inflammation accompanied pruritus through suppressing inflammation and protecting skin barrier. Meanwhile, it is expected that Magnolia Officinalis will only be able to show indirect anti-inflammation effects. Therefore, Atractylodes Lancea and fexofenadine are believed to complement each other, whereas Magnolia Officialinalis is expected to provide supplementary support on skin disease.

• Information Systems Review
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• v.10 no.1
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• pp.213-235
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• 2008

Recent reports about economic structure and changes show that global economy changes to rely on service rather than manufacturing. This phenomenon can be explained in two ways: the growth of service industry itself and the increasing reliance on service by other industry areas. The importance of service is indicated by the fact that the contribution of research and development, marketing, and finance to the revenue generation of companies is getting greater than that of manufacturing. This change in the economic structure calls for researchers' attention on the importance of service and the service-based economy. In the service-based economy, firms are considered value proposition providers and consumers actual value creators so that the concept of co-value creation becomes a key thesis to study. However, there are a variety of definitions of service and diversified measurements of service anchored in the supplier-oriented understanding of service yet. This lack of understanding of the service and the economic paradigm change causes a lot of problems in the areas of service productivity, service quality, and service innovation. Even though a new movement called service science started and rigorously pursues the way of enhancing the understanding of the economic change and service productivity, there is no framework that provides a unified view about the new role of service, service productivity, service quality, and thus service innovation. This study proposes a unified framework to provide a structured view about service provision and to facilitate the research on service. The framework is built on the concepts from previous studies about service marketing and service science: service life cycle and service networks including value activity network, resource integrator network, and capability network. We hope this study can be used as the basis for future studies on service science.

• Journal of the Korean association of regional geographers
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• v.10 no.2
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• pp.252-266
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• 2004

This study analyzes the influence of the construction of a high-speed railroad on territorial organization in France. After development of a new transportation network, the French territorial organization has been largely modified. Many economic urban areas are modified by their position in the territorial hierarchy according to their condition of connection with the TGV network. At first, spatial convergence is the most important effect of the TGV network construction. Second, the development of a transportation network concentrated in the Paris area has influence as an intensified factor on metropolitan areas and as a weakening factor on middle- and small-sized cities. Thus, this system has risk in increasing territorial imbalance in France. Third, to implant an economic activity zone around new TGV stations, a new town or a new economic center starts to develop. This is going to grow into a second core outside of the old city center so that regional spatial organization is transformed from a mono-polarized(mono-centric) organization to a multi-polarized(polycentric) one. Lastly, the integration of the EU railroad system enhances the concentration of economic activity in European metropolitan areas as each metropolitan area tries to develop more competitive space for its rising position in the global urban hierarchical system.

• The Journal of Society for e-Business Studies
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• v.18 no.3
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• pp.69-92
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• 2013

Activity Pattern Analysis(APA) is the methodology to Design the functions of information systems, to Estimate the monetary value of IS based on Activity Based Costing, to Acquire feasibility of IT Project. This study shows APA case in Health Check-up Service Organization (G-Center) and the Utility of APA. G-Center had acquired Five Outcomes through APA: (1) IT Strategy, (2) IT Project Goals, (3) Transformed Business Process, (4) Functional Blueprint of Information Systems, (5) IT Project budget and its feasibility. APA consists of three analysis processes; Activity Separation, Activity Rearrangement, Activity Costing. APA is flexible in determinating the range and the time of analysis, and is able to expand the Actors(as analysis objects) based on the purpose of analysis by researcher. Eventually APA can be used to do internal IT Management effectively.