• Title/Summary/Keyword: Target Prioritization

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Adaptive Group-wise Resource Reservation for Spectral Efficient Handover Prioritization in Cellular Mobile Systems (셀룰러 시스템에서 자원 효율적인 핸드오버 우선화를 위한 적응적 그룹별 자원 예약 기법)

  • Yu, Hye-In;Kang, Hae-Lynn;Kim, Nak-Myeong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.46 no.4
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    • pp.56-63
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    • 2009
  • Resource reservation scheme is effective for better QoS guarantee to handover call for the next generation cellular systems where handover rate highly increases. However, resource reservation for handover call can incur negative impact on the new user admission. In this paper, we propose a random access based adaptive group-wise reservation to effectively reduce dropping rate of handover call, while protecting new local call. In the proposed scheme, target base station divides adaptively future handover users into groups based on the expected handover time, and then does group-wise reservation, where service allocation within each group is done on random access basis. Markov approach is also provided to analyze the performance of the proposed scheme. By computer simulation, it is shown that theoretical analysis on the performance is similar to the simulation results and the proposed reservation scheme outperforms the conventional scheme with respect to dropping probability of handover call.

Prioritizing for Selection of New High-heat Risk Industries and Thermal Risk Assessment (신규 고열 위험 업종 선정을 위한 우선순위 및 온열 위험 평가)

  • Saemi Shin;Hea Min Lee;Nosung Ki;Jeongmin Park;Sang-Hoon Byeon;Sungho Kim
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.33 no.2
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    • pp.230-246
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    • 2023
  • Objectives: The climate crisis has arrived and heat-related illnesses are increasing. It is necessary to discover new high-heat risk industries and understand the environment . It is also necessary to prioritize risks of industries that have not been included in the management target to date. The study was intended to monitor and evaluate the thermal risk of high-priority workplaces. Methods: A prioritization method was developed based on five factors: occurrence of and death due to heat-related illnesses, work environment monitoring, indoor work rate, small heat source, and limited heat dissipation. it, was applied to industrial accidents caused by heat-related illnesses. Wet bulb temperature index and apparent temperature were measured in July and August at 24 workplaces in seven industries and assessed for thermal risk. Results: The wet bulb temperature index was in the range of 23.8~31.9℃, and exposure limits were exceeded in the growing of crops, food services activities and accommodation, and building construction. The apparent temperature was in the range of 26.8~36.7℃, and exceeded the temperature standard for issuing heatwave warnings in growing of crops, food services activities and accommodation, warehousing, welding, and building construction. Both temperature index in growing of crops and building construction were higher than the outside air temperature. Conclusions: In the workplace, risks in industries that have not be controlled and recognized through existing systems was identified. it is necessary to provide break times according to the work-rest time ratio required during dangerous time period.

Analysis of User Requirements Prioritization Using Text Mining : Focused on Online Game (텍스트마이닝을 활용한 사용자 요구사항 우선순위 도출 방법론 : 온라인 게임을 중심으로)

  • Jeong, Mi Yeon;Heo, Sun-Woo;Baek, Dong Hyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.43 no.3
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    • pp.112-121
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    • 2020
  • Recently, as the internet usage is increasing, accordingly generated text data is also increasing. Because this text data on the internet includes users' comments, the text data on the Internet can help you get users' opinion more efficiently and effectively. The topic of text mining has been actively studied recently, but it primarily focuses on either the content analysis or various improving techniques mostly for the performance of target mining algorithms. The objective of this study is to propose a novel method of analyzing the user's requirements by utilizing the text-mining technique. To complement the existing survey techniques, this study seeks to present priorities together with efficient extraction of customer requirements from the text data. This study seeks to identify users' requirements, derive the priorities of requirements, and identify the detailed causes of high-priority requirements. The implications of this study are as follows. First, this study tried to overcome the limitations of traditional investigations such as surveys and VOCs through text mining of online text data. Second, decision makers can derive users' requirements and prioritize without having to analyze numerous text data manually. Third, user priorities can be derived on a quantitative basis.

AI-based Construction Site Prioritization for Safety Inspection Using Big Data (빅데이터를 활용한 AI 기반 우선점검 대상현장 선정 모델)

  • Hwang, Yun-Ho;Chi, Seokho;Lee, Hyeon-Seung;Jung, Hyunjun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.6
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    • pp.843-852
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    • 2022
  • Despite continuous safety management, the death rate of construction workers is not decreasing every year. Accordingly, various studies are in progress to prevent construction site accidents. In this paper, we developed an AI-based priority inspection target selection model that preferentially selects sites are expected to cause construction accidents among construction sites with construction costs of less than 5 billion won (KRW). In particular, Random Forest (90.48 % of accident prediction AUC-ROC) showed the best performance among applied AI algorithms (Classification analysis). The main factors causing construction accidents were construction costs, total number of construction days and the number of construction performance evaluations. In this study an ROI (return of investment) of about 917.7 % can be predicted over 8 years as a result of better efficiency of manual inspections human resource and a preemptive response to construction accidents.

Housing Policy for Low-income Households (Ger Areas) in Mongolia: Based on Generic Characteristic of Developing Countries

  • Ishdorj, Saruul;Lee, Hyun-Soo;Park, Moonseo
    • International conference on construction engineering and project management
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    • 2017.10a
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    • pp.138-145
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    • 2017
  • As that experienced in other developing countries, Mongolia has already faced multilateral side issues for two decades due to economic growth that created Ger areas or internationally 'Slum', public housing and living conditions for low-income citizens, on the basis of rapid migration from rural areas to urban. Ger areas appear to be the main cause of environmental pollution problems and impending comfortable living conditions of the city's residents by covering more than half area of Ulaanbaatar city. Also, the spread of the Ger areas has many side issues such as prevention of urban development and unaesthetic. Most inhabitants of the areas are on low-incomes, and living in the detached houses or felt yurts (Ger) usually build within a low budget, by themselves or unprofessional people, and by using materials of poor quality. Therefore, Ger areas are an inevitable issue that requires effective, proper and immediate housing policy coordination under the government and even the housing market. Unfortunately housing policies, laws, and projects adopted by Mongolian government have shown inefficient results. The government housing policies, unlike other developing countries did not target low-income households' housing which is the priority issue for two decades. But only in 2014, the Long-term housing policy with the strategy for affordable housing initiated the housing policy for low-income households. This policy has five main broad directions such as redevelopment of Ger area, the land readjustment, public rental housing, new settlements and new city and reconstruction for old apartments, which are rather general and would require tremendous financial resources if each of the directions is implemented simultaneously without prioritization. Therefore this research aims to suggest the efficient and adequate housing policy direction for the low-income households in Ger area based on achievement of other developing countries' strategies, performances and generic characteristic with explanatory models. Also, this research adopts a literature analysis method that uses various research reports, related papers in domestic and international journals, and theses by experts, researchers, public institutions, and agencies.

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ROC Analysis of Topographic Factors in Flood Vulnerable Area considering Surface Runoff Characteristics (지표 유출 특성을 고려한 홍수취약지역 지형학적 인자의 ROC 분석)

  • Lee, Jae Yeong;Kim, Ji-Sung
    • Ecology and Resilient Infrastructure
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    • v.7 no.4
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    • pp.327-335
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    • 2020
  • The method of selecting an existing flood hazard area via a numerical model requires considerable time and effort. In this regard, this study proposes a method for selecting flood vulnerable areas through topographic analysis based on a surface runoff mechanism to reduce the time and effort required. Flood vulnerable areas based on runoff mechanisms refer to those areas that are advantageous in terms of the flow accumulation characteristics of rainfall-runoff water at the surface, and they generally include lowlands, mild slopes, and rivers. For the analysis, a digital topographic map of the target area (Seoul) was employed. In addition, in the topographic analysis, eight topographic factors were considered, namely, the elevation, slope, profile and plan curvature, topographic wetness index (TWI), stream power index, and the distances from rivers and manholes. Moreover, receiver operating characteristic analysis was conducted between the topographic factors and actual inundation trace data. The results revealed that four topographic factors, namely, elevation, slope, TWI, and distance from manholes, explained the flooded area well. Thus, when a flood vulnerable area is selected, the prioritization method for various factors as proposed in this study can simplify the topographical analytical factors that contribute to flooding.