• Title/Summary/Keyword: Scenario generation

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Pedagogically-Driven Courseware Content Generation for Intelligent Tutoring Systems

  • Hadji, Hend Ben;Choi, Ho-Jin;Jemni, Mohamed
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.12 no.1
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    • pp.77-85
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    • 2012
  • This paper describes a novel approach to adaptive courseware generation. This approach adopts its structure from existing intelligent tutoring systems and introduces a new component called pedagogical scenario model to support pedagogical flexibility in the adaptation process of courseware generation system. The adaptation is carried out using Dynamic Constraint Satisfaction Problem framework, which is a variant of classical Constraint Satisfaction Problem, to deliver courseware tailored to individual learner. Such a framework provides a high level of expressiveness to deal with the particular characteristics of courseware generation problem. Further, it automatically designs a sound courseware satisfying the design constraints imposed by the domain, the pedagogical scenario and learner models.

A Test Scenario Generation Technique based on Task Information for Interaction Testing among Android Components (안드로이드 컴포넌트 상호작용 테스팅을 위한 태스크 정보기반 테스트 시나리오 생성 기법)

  • Baek, Tae-San;Lee, Woo Jin
    • Journal of KIISE
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    • v.44 no.6
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    • pp.595-600
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    • 2017
  • Android applications are composed of one or more components. The components within an application or several applications may interact with each other primarily through intents. Such interactions may cause security and reliability issues such as broadcast theft, activity hijacking, and intent spoofing. These problems need to be resolved through testing techniques using various interaction test scenarios before an application gets launched. However, with the existing test scenario generation approach, some infeasible test scenarios may be generated since they do not consider the re-execution order based on activity setting when pressing the back button. This paper proposes a test case generation technique which removes infeasible interaction paths by utilizing the activity stack information.

A Fuzzy Rule-based System for Automatically Generating Customized Training Scenarios in Cyber Security

  • Nam, Su Man
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.8
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    • pp.39-45
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    • 2020
  • Despite the increasing interest in cyber security in recent years, the emergence of new technologies has led to a shortage of professional personnel to efficiently perform the cyber security. Although various methods such as cyber rage are being used to cultivate cyber security experts, there are problems of limitation of virtual training system, scenario-based practice content development and operation, unit content-oriented development, and lack of consideration of learner level. In this paper, we develop a fuzzy rule-based user-customized training scenario automatic generation system for improving user's ability to respond to infringement. The proposed system creates and provides scenarios based on advanced persistent threats according to fuzzy rules. Thus, the proposed system can improve the trainee's ability to respond to the bed through the generated scenario.

An Optimal Installation Strategy for Allocating Energy Storage Systems and Probabilistic-Based Distributed Generation in Active Distribution Networks

  • Sattarpour, Tohid;Tousi, Behrouz
    • Transactions on Electrical and Electronic Materials
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    • v.18 no.6
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    • pp.350-358
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    • 2017
  • Recently, owing to increased interest in low-carbon energy supplies, renewable energy sources such as photovoltaics and wind turbines in distribution networks have received considerable attention for generating clean and unlimited energy. The presence of energy storage systems (ESSs) in the promising field of active distribution networks (ADNs) would have direct impact on power system problems such as encountered in probabilistic distributed generation (DG) model studies. Hence, the optimal procedure is offered herein, in which the simultaneous placement of an ESS, photovoltaic-based DG, and wind turbine-based DG in an ADN is taken into account. The main goal of this paper is to maximize the net present value of the loss reduction benefit by considering the price of electricity for each load state. The proposed framework consists of a scenario tree method for covering the existing uncertainties in the distribution network's load demand as well as DG. The collected results verify the considerable effect of concurrent installation of probabilistic DG models and an ESS in defining the optimum site of DG and the ESS and they demonstrate that the optimum operation of an ESS in the ADN is consequently related to the highest value of the loss reduction benefit in long-term planning as well. The results obtained are encouraging.

Future Scenarios Regarding Domestic Labor and Caregiving by the Baby Boomer Generation in the Age of the Fourth Industrial Revolution (4차 산업혁명 시대, 베이비부머 세대의 가사노동과 돌봄의 미래 시나리오 - 시나리오 플래닝 기법 활용을 중심으로 -)

  • Lee, Sunhyung;Kim, Sunghee
    • Journal of Family Resource Management and Policy Review
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    • v.27 no.1
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    • pp.1-12
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    • 2023
  • This study forecasts the outlook 10 years from now regarding domestic labor and caregiving by the Baby Boomer generation and the preparations needed in the context of the Fourth Industrial Revolution. The scenario-planning method was used to explore changing trends in domestic labor and caregiving, the rationale for which has been questioned by both seniors and family welfare experts. Based on the results of the survey and our researchers' opinions, it was concluded that the changing trends were caused by two factors: the probability of alterations in domestic labor and the strength of family relationships. On the basis of these conclusions, four scenarios regarding baby boomers' domestic labor and caregiving in 10 years were proposed using two axes: the "high and low probability of alterations" and the "strengthening and weakening of family relationships." The first scenario is a "preference for the self-caring form of family," which has a high probability of domestic labor alterations and weak family relationships. The second scenario is a "preference for the flexible form of family," which has a high probability of domestic labor alterations and strong family relationships. The third scenario is a "preference for the traditional form of family," which has a low probability of domestic labor alterations and strong family relationships. The fourth scenario is a "preference for the public caregiving form of family," which has a low probability of domestic labor alterations and weak family relationships. These results provide basic information about the various aspects of baby boomers' lives-including the development of various goods and services, the establishment of policies regarding seniors, and programs for successful aging-and can help equip our society to take the actions needed for a super-aged population.

Study on Cost of Energy(COE) Reduction Scenario of Korean Offshore Wind Power (해상풍력발전의 에너지단가(COE)절감 시나리오 연구)

  • Sung, Jin Ki;Lee, Jong Hoon;Kang, Kung Suk;Lee, Tae Jin
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.11
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    • pp.1520-1527
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    • 2013
  • The purpose of this study is to derive COE reduction targets of offshore wind power in Korea. In addition, innovation factors for achieving the COE reduction targets were derived. Also the COE reduction targets of offshore wind power was to improve that national policy, technology, industry and improving regulations would like to help. The results of this study has been created based on the various assumptions, scenarios and experts' discussions. Currently, offshore wind power generation price is 229.72won/kWh in 2012. According to the study, COE of offshore wind power has been proposed 88.8won/kWh at third scenario by 2030. This result has shown competitiveness with fossil fuel power generation.

Scenario-Based Design of The Next Generation Information Appliances (시나리오 기반 차세대 정보가전 신제품 개발)

  • 박지수
    • Archives of design research
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    • v.16 no.2
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    • pp.35-48
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    • 2003
  • Home networking technology connects individual home appliances through a wired or wireless network and makes possible new functions that were impossible when they were used independently. However, the new functions must not simply be confusing arrays of functions that are possible to implement, but those absolutely necessary to the users. To develop innovative information appliances with such functions, scenarios were used and played guiding roles in suggesting new product ideas, making design mockups, and producing videos to show natural situations where the products would be used in home of the future. In the phase of suggesting new product ideas, user action scenarios in the home, generated by a team consisting of experts in the fields of cognitive engineering, user interface, computer science, cultural anthropology, interaction design, and product design, helped the team identify user needs and design factors necessary to fulfill those needs and suggest new product ideas from the design factors. In the phase of making design mockups, the procedures of using the products were described in the scenario format. Based on the scenarios the s쇼les and the user interfaces of them were designed. In the phase of producing videos, the interactions between the user and the product were embodied in the course of professional writers'arranging the scenarios of using the products for the scripts of the videos. Videos were produced to show the actual situations where the design mockups would be used in home of the future and the dynamic aspects of interaction design.

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Scenario Analysis of Natural Gas Demand for Electricity Generation in Korea (전력수급기본계획의 불확실성과 CO2 배출 목표를 고려한 발전용 천연가스 장기전망과 대책)

  • Park, Jong-Bae;Roh, Jea Hyung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.11
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    • pp.1503-1510
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    • 2014
  • This study organizes scenarios on the power supply plans and electricity load forecasts considering their uncertainties and estimates natural gas quantity for electricity generation, total electricity supply cost and air pollutant emission of each scenario. Also the analysis is performed to check the properness of government's natural gas demand forecast and the possibility of achieving the government's CO2 emission target with the current plan and other scenarios. In result, no scenario satisfies the government's CO2 emission target and the natural gas demand could be doubled to the government's forecast. As under-forecast of natural gas demand has caused the increased natural gas procurement cost, it is required to consider uncertainties of power plant construction plan and electricity demand forecast in forecasting the natural gas demand. In addition, it is found that CO2 emission target could be achieved by enlarging natural gas use and demand-side management without big increase of total costs.

Estimation of greenhouse gas emissions: An alternative approach to waste management for reducing the environmental impacts in Myanmar

  • Tun, Maw Maw;Juchelkova, Dagmar
    • Environmental Engineering Research
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    • v.24 no.4
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    • pp.618-629
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    • 2019
  • Along with growing population and economic development, increasing waste generation rates in developing countries have become a major issue related to the negative impacts of waste management on the environment. Currently, the business-as-usual waste management practices in Myanmar are largely affecting the environment and public health. Therefore, this study developed an alternative approach to waste management for reducing the environmental impacts in Myanmar by highlighting the greenhouse gas (GHG) emissions from business-as-usual practices and three proposed scenarios during 2018-2025. The calculation methods of the Intergovernmental Panel on Climate Change and Institute for Global Environmental Strategies were used for estimating the GHG emissions from waste management. It was estimated that the current waste management sector generated approximately 2,000 gigagrams of CO2-eq per year in 2018, trending around 3,350 Gg of CO2-eq per year in 2025. It was also observed that out of the proposed scenarios, Scenario-2 significantly minimized the environmental impacts, with the lowest GHG emissions and highest waste resource recovery. Moreover, the GHG emissions from business-as-usual practices could be reduced by 50% by this scenario during 2018-2025. The target of the similar scenario could be achieved if the local government could efficiently implement waste management in the future.