Advanced Life Support Systems(ALSS) are being studied to support human life during long-duration space missions. ALSS can be categorized into four subsystems: Crew, Biomass Production, Food Processing and Nutrition, Waste Processing and Resource Recovery. The System Studies and Modeling (SSM) team of New Jersey-NASA Specialized Center of Research and Training (NJ-NSCORT) has facilitated and conducted analyses of ALSS to address systems level issues. The underlying concept of the SSM work is to enable the effective utilization of information to aid in planning, analysis, design, management, and operation of ALSS and their components. Analytical tools and computer models for ALSS analyses have been developed and implemented for value-added information processing. The results of analyses heave been delivered through the internet for effective communication within the advanced life support (ALS) community. Several modeling paradigms have been explored by developing tools for use in systems analysis. they include objected-oriented approach for top-level models, procedureal approach for process-level models, and application of commercially available modeling tools such as $MATLAB^{R}$/$Simulink^{R}$. Every paradigm has its particular applicability for the purpose of modeling work. an overview is presented of the systems studies and modeling work conducted by the NJ-NSCORT SSM team in its efforts to provide systems analysis capabilities to the ALS community. The experience gained and the analytical tools developed from this work can be extended to solving problems encountered in general agriculture.
Journal of the Korea Institute of Information and Communication Engineering
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v.8
no.1
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pp.137-149
/
2004
A new software paradigm is required on the development of network and various service requirements. With this, many studies on a mobile agent have been made. For the execution of the mobile agent, migration is the most important factor that influences the performance of the mobile agent. In this paper we propose the method that leads to high migration efficiency in order to improve the performance. The features of our migration technique are as follows. First, the migration technique creates the dynamic itinerary that appropriately copes with the network conditions and the platform changes to improve the agent execution efficiency. Second, it perfecters an executed code to reduce the amount of the mobile data and reduces the execution time by instantiating the agent in advance. Third, it improves the execution efficiency by using the checkpoint-based recovery method that does not execute the agent again and recovers the process states even though the errors take place. Though the simulation we compare the proposed method with the existing methods. The simulation result shows that the proposed method outperform the existing methods in terms of migration.
Recently, as the business using IT has increased rapidly, a lot of budget is required to operate and manage the complex IT infrastructure. There is a need for a new IT infrastructure technology that can effectively and reduce costs. In this paper, we introduce CI(Converge Infrastructure) and HCI(Hyper Converge Infrastructure) methods, which are IT infrastructure methods for simplifying information systems and reducing operational management efficiency and cost. In addition, it proposes an information system using the HCI method, a new IT infrastructure technology, and a plan to establish a disaster recovery system to provide continuity of service in the event of a disaster or failure. In addition to the introduction of major technologies for using the HCI method, the area, power consumption, and operational efficiency of the information system before and after the introduction of HCI are compared and analyzed.
Journal of the Korea Institute of Information and Communication Engineering
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v.26
no.2
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pp.258-264
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2022
The smart farm for livestock, in which information and communication technology (ICT) is combined with livestock farm, is mostly based on the cloud computing paradigm. A cloud-based smart livestock farm has disadvantages such as increased response time, burden on cloud resource caused by the increased number of IoT sensors, traffic burden on the network, and lack of failure resilience mechanisms through collaboration with adjacent IoT devices. In this paper, with these problems in mind, we propose an IoT collaboration system based on edge computing. By using the relatively limited computing resources of the edge device to share the cloud's web server function, we aim to reduce the cloud's resources needed and improve response time to user requests. In addition, through the heartbeat-based failure recovery mechanism, IoT device failures were detected and appropriate measures were taken.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.16
no.5
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pp.1-14
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2021
Innovation and Scale-up of Start-up companies are becoming important national tasks. In the past, it was spread the start-up policy paradigm such as 'Start-up America', 'Start-up Chile', 'Start-up Britain' to overcome the recession globally. However as the economic recovery has become more visible recently in advanced economies, it is shifting from a start-up support policy to a scale-up oriented policy paradigm such as 'Scale-up America', Scale-up UK', 'Scale-up Denmark'. It is necessary to enter the scale-up phase beyond the start-up phase to increase the number of high-quality jobs and to continue economic growth. Therefore, it is necessary to grow the start-up into a strong medium-sized company and to lay the foundation for survival. Therefore, the purpose of this study is to consider the antecedent factors that influence the scale-up aspiration for the start-up firm to grow into a scale-up company, and empirically identifies the differences between the stages of economic development and entrepreneurs in the country. In order to accomplish the purpose, this study predicted scale-up by aspiration which is a predictor of scale-up behavior because it is difficult to achieve visible growth in a short period of time due to the characteristics of start-up companies. In order to empirically explore these relationships, the data were collected from nascent entrepreneurs who have less than 3.5 years of the Adult Population Survey(APS) among the subjects surveyed by the Global Entrepreneurship Monitor(GEM) and the national economic development stage are divided into Innovation-driven, Efficiency-driven, Factor-driven type economies. For the test hypotheses, this study adopted the multi-level model analysis for comparison between national economic development stages and using the R 3.5.0 program. The results of this study are as follows. There is difference between the national economic development and the entrepreneur in the relationship between innovation orientation of entrepreneurs and scale-up aspirations. As the economy of the country develops, the innovation activity of the entrepreneur becomes more active. Since start-ups are heavily influenced by entrepreneurs, there is a difference in the degree of aspiration depending on how innovative an entrepreneur is in the same environment. In terms of the relationship between innovation orientation and scale-up aspiration, the fear of failure was found to differ between national economic development and entrepreneurs. The fear of failure differ from country to country, and this is one of the important factors affecting entrepreneurial activities. It is expected that the factors influencing the growth of the start-up companies which are identified through the results of these studies, will be used to create a suitable scale-up ecosystem according to the national economic development stage.
Animation as a public visuals media have been expanding increasingly its social and cultural influences beyond the ages and nations on the basis of global consumption. However, animation increases the negative impact in modern popular culture, and in regard to this, 'the recovery of ethics' should be considered in a reflexive and educational perspectives for the social role of animation. Thus, the research addresses the animation films of Brigham Young University students which contain a ethical values and receive attention by New York Times, etc. as a successful educational model. To do this, firstly, literature has reviewed by focusing on the negative impact of animation, 1) violence, 2) excessive sensationalism, 3) confusion of cultural identity, 4) gender discrimination, and 5) distorted view of history. Secondly, the education system of animation course at Brigham Young University will be analysed. Thirdly, based on this, the case study will be conducted by focusing on the 13 animation films of students to reveal the characteristics of the way of film direction. Through this research, firstly, most of animation films are comic genre, consisting of children and animal characters, family-friendly and lyrical story style and deployment of coincidental and allegoric incident. Thirdly, the religious spirit and multidisciplinary methods of education in Brigham Young University has influenced to the ethical expression and technical perfection in animation filmmaking. In the light of this, the research and suggests the new paradigm is for the practical disciplines of animation in the restoration of the ethical perspective and explores how the animation production adopts the moral significance.
Natural gas in tight reservoirs, one of unconventional hydrocarbon resources, has become a significant exploration and exploitation targets. Tight gas reservoirs are the gas-bearing rocks that commonly have a permeability of less than 0.1 millidarcy (mD). Tight gas reservoirs are characterized by extensive and deep locations as well as abnormal pressure such as over- or under-pressure. The tight gas reservoirs are independent of structural or stratigraphic traps, whereas conventional gases normally occur at these traps. Tight gas reservoirs can be productive when stimulated by hydraulic fracturing. Better production areas within the tight reservoir beds are referred to as sweet spots that are commonly caused by natural fractures, which should be understood and identified to enhance the recovery of the gas from tight reservoirs. The exploration and production techniques allow the commercial production of tight gas, one of environmentally friendly resources. Slant and horizontal wells have best production when they intersect the fractures. Gas production from the tight reservoirs has rapidly grown in U.S. and Canada. Indeed, the U.S. gas production of tight sandstones increases from 11.1% in 1990 to 24.1% in 2005. The presence of tight gas reservoirs has been suggested on the Korean offshore block 6-1. Paradigm shift from conventional to unconventional tight reservoir is required to develop the tight gas from the block.
The purpose of this study is to explore the direction that Christian education should take as an ecological education in the crisis of climate change. What climate change shows is that it is impossible to survive even if the Earth's temperature rises by only 2-3 degrees. However, our current appearance is concerned about the crisis of climate change as long as we do not change our lives. First, the meaning of climate change and its causes were examined. The anthropocentric worldview, modern industrial, scientific and technological growth, and consumption-oriented social structure can be cited as the causes. An anthropocentric worldview justifies everything from the human point of view, and nature is the subject of human domination, but one regarded as a tool. In addition, as the scale of human economic activity increases, energy consumption increases, and the threat of ecosystem destruction increases with the increase in energy consumption. Individual affluence and increased consumption are exacerbating ecosystem tensions. In order to solve the problem of climate change, ecological education clues were found in the Bible. Through creation, the relationship between humans and nature was identified as coexistence and coexistence. Through the principle of sabbath, it is possible to bring about the restoration of humans and nature, and from the point of view of the incarnation, the world was understood as the 'body' of God. Based on these clues, the direction of Christian ecological education was explored by suggesting a transition to an ecological paradigm, restoration of creative spirituality, and cultivation of ecological imagination. In the crisis of climate change, it is hoped that the recovery of the earth will take place and that we will be able to stand again as a responsible being through the Christian ecological educational approach.
Vimal, S.;Jesuva, Arockiadoss S;Bharathiraja, S;Guru, S;Jackins, V.
Journal of Platform Technology
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v.9
no.1
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pp.15-22
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2021
In a smart manufacturing environment, more and more devices are connected to the Internet so that a large volume of data can be obtained during all phases of the product life cycle. The large-scale industries, companies and organizations that have more operational units scattered among the various geographical locations face a huge resource consumption because of their unorganized structure of sharing resources among themselves that directly affects the supply chain of the corresponding concerns. Cloud-based smart manufacturing paradigm facilitates a new variety of applications and services to analyze a large volume of data and enable large-scale manufacturing collaboration. The manufacturing units include machinery that may be situated in different geological areas and process instances that are executed from different machinery data should be constantly managed by the super admin to coordinate the manufacturing process in the large-scale industries these environments make the manufacturing process a tedious work to maintain the efficiency of the production unit. The data from all these instances should be monitored to maintain the integrity of the manufacturing service system, all these data are computed in the cloud environment which leads to the latency in the performance of the smart manufacturing service system. Instead, validating data from the external device, we propose to validate the data at the front-end of each device. The validation process can be automated by script validation and then the processed data will be sent to the cloud processing and storing unit. Along with the end-device data validation we will implement the APM(Asset Performance Management) to enhance the productive functionality of the manufacturers. The manufacturing service system will be chunked into modules based on the functionalities of the machines and process instances corresponding to the time schedules of the respective machines. On breaking the whole system into chunks of modules and further divisions as required we can reduce the data loss or data mismatch due to the processing of data from the instances that may be down for maintenance or malfunction ties of the machinery. This will help the admin to trace the individual domains of the smart manufacturing service system that needs attention for error recovery among the various process instances from different machines that operate on the various conditions. This helps in reducing the latency, which in turn increases the efficiency of the whole system
The Journal of Korean Institute of Next Generation Computing
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v.15
no.3
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pp.7-15
/
2019
Cloud computing markets are rapidly growing as cost savings and business innovation are being carried out through ICT worldwide. In line with this paradigm, the nation is striving to introduce cloud computing in various areas, including the public sector and defense sector, through various research. In the defense sector, DIDC was established in 2015 by integrating military, naval, air and military computing centers, and it provides cloud services in the form of IaaS to some systems in the center. In DIDC and various future cloud defense systems, It is an important issue to ensure availability in cloud defense systems in the defense sector because system failures such as network delays and system resource failures are directly linked to the results of battlefields. However, ensuring the highest levels of availability for all systems in the defense cloud can be inefficient, and the efficiency that can be gained from deploying a cloud system can be reduced. In this paper, we classify and define the level of availability of defense cloud systems step by step, and propose the strategy of introducing Erasure coding and failure acceptance systems, and disaster recovery system technology according to each level of availability acquisition.
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