• Convergence Security Journal
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• v.18 no.2
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• pp.101-111
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• 2018

The autonomous weapon systems are being developed with a global competition due to the 4th industrial revolution technologies such as artificial intelligence. This theses analyzes on the technologies related to the autonomy of the new weapons, the new changes in war fighting regime that will be brought by such autonomous weapons, the level of autonomy in a autonomous weapon system, and also the definition and functions of the autonomy. The advanced artificial intelligence for the civilian commercial sectors would be similar to the required military autonomous systems. The future war fighting regime would be the war with autonomous weapon systems without any human casualties. The level of autonomy in the future weapons would be fully autonomous without any human supervision or involvement in the decision making processes. The functions of the autonomous weapon would be to sense, to decide, and to act with a full autonomy in order to accomplish desired purposes.

• KDI Journal of Economic Policy
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• v.38 no.3
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• pp.1-15
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• 2016

Improving the quality of school education is one of the key policy concerns in Korea. This paper examines whether providing schools with adequate autonomy and incentives can meet the policy goals by looking at a recent policy reform in Korea. In 2009, the Korean government granted autonomy to certain private high schools on the condition that no financial subsidies would be provided to the schools. Because the autonomous private high schools cannot receive a subsidy, they have a strong incentive to meet parental demands because schools failing to meet these demands will lose students and will have to close. Applying the value-added model to longitudinal data at the student level, I find that students entering these autonomous schools show faster growth in their academic achievement than their peers in traditional non-autonomous schools. These results suggest that providing schools with autonomy and incentives can be a useful policy tool for improving school education.

• Journal of Agricultural Extension & Community Development
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• v.4 no.1
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• pp.29-40
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• 1997

This study aims to analyze the model of 'autonomous regional development', which was initiated in 1980s in Austria, then introduced into Germany and Switzerland. The basic ideas of autonomous regional development are constructed of the peculiarity, the autonomy, the integrity, and the project promotion. The subjects of the development-four poles of the model 'autonomous regional development' -are designed of the land residents, the regional advisers, the regional associations and the state. The concret measures to realize the autonomous regional development are the realization of independent regional economic structures, the autonomy of political decision-makings, and the development of peculiar rural cultures. The autonomous regional development is a new development model, which is founded on the right basic principles. In this model the initiative of the residents is emphasized, and the real autonomy of regional development is required. The principle of autonomy leads to the development of peculiar rural cultures, which keep the peculiarity of the region. The development of rural culture contributes in turn to restoring the identity of residents, which may become a driving force of the rural development.

• Journal of the Korea Institute of Military Science and Technology
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• v.16 no.6
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• pp.719-725
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• 2013

In this paper, we propose a local path planning method based on RANGER algorithm and autonomy manager for autonomous navigation of UGV in urban environment. LPP method is designed to generate the local path in sensing area by using lane and curb of pavement and autonomy manager is designed to make a decision which transit the status of LPP component to a proper status for current navigation environment. A field test is conducted with scenarios in real urban environment in which crossroad, crosswalk and pavement are included and the performance of proposed method is validated.

• The Korean Journal of Community Living Science
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• v.27 no.1
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• pp.31-47
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• 2016

This research examines the effects of consumers' moderation and simplicity, autonomy, and income level on happiness, and based on this, classifies consumer types and examines the differences in consumer happiness and life happiness in accordance with this classification. The questionnaire survey was conducted on adults in their 20's through 60's. Moreover, hierarchical regression analysis, cluster analysis, and the analysis of variance were conducted. The results of this research are as follows. First, on consumer happiness, moderation and simplicity, income level, autonomy, education level, and gender had significant effects; on life happiness, moderation and simplicity, income level, autonomy, and education level had significant effects. Second, consumers were classified into three types according to moderation and simplicity, autonomy, and income level, and when making a comparison based on these factors between consumer happiness and life happiness, both consumer happiness and life happiness showed significant differences, but the detailed aspects were different. In the case of consumer happiness, non-autonomous moderation and simplicity type were reported to have the highest sense of happiness, followed by autonomous moderation and simplicity type, and passive moderation and simplicity type, but in the case of life happiness, autonomous moderation and simplicity type were reported to have the highest sense of happiness, followed by non-autonomous moderation and simplicity type, and passive moderation and simplicity type.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.6
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• pp.990-997
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• 2010

The Mission environment of UGV(Unmanned Ground Vehicle) has a complexity and variety, and the status of system and sensor is dependent on the environment factors such as operation time, the weather and road type. It is necessary for UGV to cope adaptively with the various mission types, operation modes and operation environment as human operators do. To satisfy this necessity, we present an autonomy manager based on the autonomous architecture. In this paper, we design a path planning software architecture and LPP manager by using open autonomous architecture which is previously designed by ADD. Field test is conducted with UGV in order to verify the performance of LPP Manager based on the Autonomous Architecture with scenarios.

• Korean Journal of Agricultural Science
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• v.48 no.3
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• pp.617-627
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• 2021

In the field of on-road motor vehicles, the level for autonomous driving technology is defined according to J3016, proposed by Society of Automotive Engineers (SAE) International. However, in the field of agricultural machinery, different standards are applied by country and manufacturer, without a standardized classification for autonomous driving technology which makes it difficult to clearly define and accurately evaluate the autonomous driving technology, for agricultural machinery. In this study, a method to classify the autonomy levels for autonomous agricultural machinery (ALAAM) is proposed by modifying the SAE International J3016 to better characterize various agricultural operations such as tillage, spraying and harvesting. The ALAAM was classified into 6 levels from 0 (manual) to 5 (full automation) depending on the status of operator and autonomous system interventions for each item related to the automation of agricultural tasks such as straight-curve path driving, path-implement operation, operation-environmental awareness, error response, and task area planning. The core of the ALAAM classification is based on the relative roles between the operator and autonomous system for the automation of agricultural machines. The proposed ALAAM is expected to promote the establishment of a standard to classify the autonomous driving levels of self-propelled agricultural machinery.

• Journal of Korean Academy of Nursing
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• v.18 no.1
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• pp.19-25
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• 1988

To ensure the autonomy of nursing care aetivies is one of the major and most interesting issues in the field of nursing. The pertaining autonomy demands the nurse to make decisions of her or his own with out interference and free of help from other sides of health care agency. The whole process of autonomous nursing behavior should be judged and conveyed by the nurse only on the basis of the internal factors of her care to solve the problems of the client's disorder in health. Truth of nursing science and relevence of nursing conduct depend on our construction of internal basis and establishment of self-sufficient reference system. The information for efficient decision-making at the scene of nursing can only be supplied by a systematic body of nursing science consisting of true or properly corroborated propositions. The science of nursing can be autonomous when we have framework of explanation, independently of other sciences and the behavior of nursing care can factually be independent of and peculiar to that of other but similar fields only when the science of nursing is correspondently autonomous.

• ETRI Journal
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• v.43 no.4
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• pp.580-593
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• 2021

When operating in confined spaces or near obstacles, collision-free path planning is an essential requirement for autonomous exploration in unknown environments. This study presents an autonomous exploration technique using a carefully designed collision-free local planner. Using LiDAR range measurements, a local end-point selection method is designed, and the path is generated from the current position to the selected end-point. The generated path showed the consistent collision-free path in real-time by adopting the Euclidean signed distance field-based grid-search method. The results consistently demonstrated the safety and reliability of the proposed path-planning method. Real-world experiments are conducted in three different mines, demonstrating successful autonomous exploration flights in environment with various structural conditions. The results showed the high capability of the proposed flight autonomy framework for lightweight aerial robot systems. In addition, our drone performed an autonomous mission in the tunnel circuit competition (Phase 1) of the DARPA Subterranean Challenge.

• Journal of Aerospace System Engineering
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• v.15 no.2
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• pp.36-44
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• 2021

Unmanned aerial vehicles (UAVs) are increasingly needed as they can replace manned aircrafts in dangerous military missions. However, because of their low autonomy, current UAVs can execute missions only under continuous operator control. To overcome this limitation, higher autonomy levels of UAVs based on autonomous situational awareness is required. In this paper, we propose an autonomous situational awareness software consisting of situation awareness management, threat recognition, threat identification, and threat space analysis to detect dynamic situational change by external threats. We implemented the proposed software in real mission computer hardware and evaluated the performance of situational awareness toward dynamic radar threats in flight simulations.