• Title/Summary/Keyword: Priority-based control

Search Result 439, Processing Time 0.026 seconds

Vascular Plants of Distribution and Characteristics of the Mt. Bangjang (방장산일대의 관속식물 분포 특성)

  • Oh, Hyun-Kyung;Beon, Mu-Sup
    • Journal of the Korean Society of Environmental Restoration Technology
    • /
    • v.9 no.4
    • /
    • pp.13-23
    • /
    • 2006
  • The vascular plants of the studied area in the Mt. Bangjang was listed 422 taxa : 106 families, 299 genera, 372 species, 1 subspecies, 46 varieties and 3 forms. Based on the list of the rare plants by the Forest Research Institute, 5 taxa were recorded in the studied areas; Lilium distichum(Preservation priority order : No. 159), Tricyrtis dilatata (No. 97), Aristolochia contorta (No. 151), Prunus yedoensis (No. 110), Patrinia saniculaefolia (No. 122) and based on the list of Korean endemic plants, 9 taxa were recorded; Cephalotaxus koreana, Carex okamotoi, Populus tomentiglandulosa, Salix purpurea var. japonica, Prunus yedoensis, Forsythia koreana, Paulownia coreana, Weigela subsessilis, Patrinia saniculaefolia. Specific plant species by floral region were total 29 taxa; Prunus yedoensis in class V, 3 taxa(Acer palmatum, Asperula lasiantha, Lonicera subhispida ) in class III, 5 taxa(Lilium distichum, Potentilla dickinsii, Caryopteris incana, Patrinia saniculaefolia, Ligularia fischeri) in class II, 20 taxa(Ulmus parvifolia, Clematis patens, Aconitum jaluense, Ilex macropoda, Grewia biloba var. parviflora etc.) in class I. The naturalized plants in this site were 13 families, 31 genera, 36 species, 2 varieties, 38 taxa and naturalization rate was 9.0% of all 422 taxa vascular plants. Because of recent rapid increase of cars and people around here, analysis shows many naturalized plants and high naturalized ratio. And wild plants disturbing ecosystem like Ambrosia artemisiifolia var. elatior have been increasing. So, it needs continuing control and conservation measures on the plant ecosystem.

Priority Selection of Water Quality Improvement Through Water Quality Data of Tributaries of Nakdong River (낙동강수계 지류 수질자료를 통한 수질개선 우선순위 선정)

  • Shim, Kyuhyun;Shin, Sangmin;Kim, Seongmin;Kim, Youngseok;Kim, Gyeonghoon
    • Journal of Korean Society on Water Environment
    • /
    • v.36 no.5
    • /
    • pp.364-372
    • /
    • 2020
  • The "Master Plan for the Revitalization of Water in the Nakdong River" is designed for the fundamental improvement of water quality in the Nakdong River. The water quality and flow of the Nakdong River system tributaries was monitored in this study. Among the living environmental standard parameters of 195 rivers, BOD (Biochemical oxygen demand), T-P (Total phosphorus) and TOC (Total organic carbon) were assessed to analyze the water quality from 2012 to 2019. We examined the role of TOC. It was found that 12 rivers exceeded the water quality of the second grade (3.0 mg/L BOD standard, 0.1 mg/L T-P standard, 4.0 mg/L TOC standard) based on BOD and T-P concentrations: the Gumi stream, Gisegok stream, Yongha stream, Yongho stream, Changnyeong stream, Gajwa stream, Gwangok stream, Yeongsan stream, Toerae stream, Hwapo stream, Sangnam stream and Hogye stream. These rivers require strategies to improve the quality of the Nakdong River. Based on the ongoing project, it is possible to supplement the "Master Plan for the Revitalization of Water in the Nakdong River" and manage it after verifying it as a component of people's life and therefore used to establish water quality control measures.

Performance Evaluation of the HIPERLAN Type 2 Media Access Control Protocol (HIPERLAN 타입 2 매체접근제어 프로토콜의 성능평가)

  • Cho, Kwang-Oh;Park, Chan;Lee, Jong-Kyu
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.28 no.1B
    • /
    • pp.11-17
    • /
    • 2003
  • In this paper, we presented the dynamic random access channel allocation method under the priority based scheduling policy in order to improve the system performance of HIPERLAN/2 standardized by ETSI According to the scheduling policy, AP scheduler primarily allocates the resource to the collision MT This scheduling policy bring about decreasing the transmission delay of collision MT Dynamic RCH(random access channel) allocation method decreases the collision probability by increasing the number of RCH slots in case of low traffic. While it increases the maximum throughput by increasing the number of the data transmission slots in case of high traffic Therefore dynamic allocation method of RCH slots decreases the scheduling delay and increases the throughput When we evaluate the performance of presented method based on standards, we saw that the presented method improve the performance of the MAC protocol in terms of throughput and transmission delay.

MAC Protocol based on Resource Status-Sensing Scheme for Integrated Voice/Data Services (음성/데이타 통합 서비스를 위한 자원 상태 감지 기법 기반 MAC프로토콜)

  • Lim, In-Taek
    • Journal of KIISE:Information Networking
    • /
    • v.29 no.2
    • /
    • pp.141-155
    • /
    • 2002
  • A medium access control protocol is proposed for integrated voice and data services in the packet CDMA network with a small coverage. Uplink channels are composed of time slots and multiple spreading codes for each slot. This protocol gives higher access priority to the delay-sensitive voice traffic than to the data traffic. During a talkspurt, voice terminals reserve a spreading code to transmit multiple voice packets. On the other hand, whenever generating a data packet, data terminals transmit a packet based on the status information of spreading codes in the current slot, which is received from base station. In this protocol, voice packet does not come into collision with data packet. Therefore, this protocol can increase the maximum number of voice terminals.

Study on the Development Direction of a Smart City in Gangwon-do (강원도 스마트시티 발전방향 설정에 관한 연구)

  • Ham, Kwang-Min;Ryu, Jong-Hyun
    • Journal of Environmental Science International
    • /
    • v.30 no.1
    • /
    • pp.11-17
    • /
    • 2021
  • This research was conducted to propose the basic direction of a smart city plan for the satisfaction of residents of Gangwon-do. Initially, the awareness of smart cities among the residents of Gangwon-do was as follows: The response "I have no idea" was 21.7% higher and "I do not know the details, but have heard of it" was 15.1% lower than the awareness among residents across the nation. Based on these results, it was confirmed that awareness was very low despite the government's smartification reinforcement policy. In addition, the residents of Gangwon-do expected that their time would be saved and their living convenience would increase but were worried that their privacy would be invaded and that the conflict between generations would intensify. Thus, it is necessary to develop a plan to enhance the awareness of smart cities, as well as a plan to enhance digital awareness. Second, based on the importance of and satisfaction with the urban problem response system examined among the residents of Gangwon-do, it seems necessary to prioritize improvements in public space control and administrative problem responses involving deteriorated parks/plazas, pedestrian environment, and administrative processing inefficiency and fairness. Additionally, the first prioritization priority of the residents of Gangwon-do was "health/welfare/medical service" (27.7%); the second and third highest priorities were "transportation service" (26.3%) and "environmental service" (19.0%), respectively. In particular, as "transportation service" was highly preferred in the Chuncheon and Wonju regions and "health/welfare/medical service" was highly preferred in the Gangneung, Sokcho, and other southern regions, it was confirmed that the level of urbanization is deeply associated with smart services.

Recommendation Model for Battlefield Analysis based on Siamese Network

  • Geewon, Suh;Yukyung, Shin;Soyeon, Jin;Woosin, Lee;Jongchul, Ahn;Changho, Suh
    • Journal of the Korea Society of Computer and Information
    • /
    • v.28 no.1
    • /
    • pp.1-8
    • /
    • 2023
  • In this paper, we propose a training method of a recommendation learning model that analyzes the battlefield situation and recommends a suitable hypothesis for the current situation. The proposed learning model uses the preference determined by comparing the two hypotheses as a label data to learn which hypothesis best analyzes the current battlefield situation. Our model is based on Siamese neural network architecture which uses the same weights on two different input vectors. The model takes two hypotheses as an input, and learns the priority between two hypotheses while sharing the same weights in the twin network. In addition, a score is given to each hypothesis through the proposed post-processing ranking algorithm, and hypotheses with a high score can be recommended to the commander in charge.

Vulnerability Evaluation by Road Link Based on Clustering Analysis for Disaster Situation (재난·재해 상황을 대비한 클러스터링 분석 기반의 도로링크별 취약성 평가 연구)

  • Jihoon Tak;Jungyeol Hong;Dongjoo Park
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.22 no.2
    • /
    • pp.29-43
    • /
    • 2023
  • It is necessary to grasp the characteristics of traffic flow passing through a specific road section and the topological structure of the road in advance in order to quickly prepare a movement management strategy in the event of a disaster or disaster. It is because it can be an essential basis for road managers to assess vulnerabilities by microscopic road units and then establish appropriate monitoring and management measures for disasters or disaster situations. Therefore, this study presented spatial density, time occupancy, and betweenness centrality index to evaluate vulnerabilities by road link in the city department and defined spatial-temporal and topological vulnerabilities by clustering analysis based on distance and density. From the results of this study, road administrators can manage vulnerabilities by characterizing each road link group. It is expected to be used as primary data for selecting priority control points and presenting optimal routes in the event of a disaster or disaster.

Prediction of Stunting Among Under-5 Children in Rwanda Using Machine Learning Techniques

  • Similien Ndagijimana;Ignace Habimana Kabano;Emmanuel Masabo;Jean Marie Ntaganda
    • Journal of Preventive Medicine and Public Health
    • /
    • v.56 no.1
    • /
    • pp.41-49
    • /
    • 2023
  • Objectives: Rwanda reported a stunting rate of 33% in 2020, decreasing from 38% in 2015; however, stunting remains an issue. Globally, child deaths from malnutrition stand at 45%. The best options for the early detection and treatment of stunting should be made a community policy priority, and health services remain an issue. Hence, this research aimed to develop a model for predicting stunting in Rwandan children. Methods: The Rwanda Demographic and Health Survey 2019-2020 was used as secondary data. Stratified 10-fold cross-validation was used, and different machine learning classifiers were trained to predict stunting status. The prediction models were compared using different metrics, and the best model was chosen. Results: The best model was developed with the gradient boosting classifier algorithm, with a training accuracy of 80.49% based on the performance indicators of several models. Based on a confusion matrix, the test accuracy, sensitivity, specificity, and F1 were calculated, yielding the model's ability to classify stunting cases correctly at 79.33%, identify stunted children accurately at 72.51%, and categorize non-stunted children correctly at 94.49%, with an area under the curve of 0.89. The model found that the mother's height, television, the child's age, province, mother's education, birth weight, and childbirth size were the most important predictors of stunting status. Conclusions: Therefore, machine-learning techniques may be used in Rwanda to construct an accurate model that can detect the early stages of stunting and offer the best predictive attributes to help prevent and control stunting in under five Rwandan children.

The Effect of Representativeness in News Recommendation Mechanisms on Audience Reactions in Online News Portals (대표성 기반 뉴스 추천 메커니즘이 온라인 뉴스 포탈의 독자 반응에 미치는 영향)

  • Lee, Un-Kon
    • The Journal of Society for e-Business Studies
    • /
    • v.21 no.2
    • /
    • pp.1-22
    • /
    • 2016
  • News contents has been collected, selected, edited and sometimes distorted by the news recommendation mechanisms of online portals in nowadays. Prior studies had not confirmed the consensus of newsworthiness, and they had not tried to empirically validate the impacts of newsworthiness on audience reactions. This study challenged to summarize the concepts of newsworthiness and validate the impact of representativeness of both editor's and audience's perspective on audience reactions as perceived news quality, trust on news portal, perceived usefulness, service satisfaction, loyalty, continuous usage intention, and word-of-mouth intention by adopting the representativeness heuristics method and information adoption model. 357 valid data had been collected using a scenario survey method. Subjects in each groups are exposed by 3 news recommendation mechanisms: 1) the time-priority news exposure mechanism (control group), 2) the reference-score-based news recommendation mechanism (a single treatment group), and 3) the major-news-priority exposure mechanism sorting by the reference scores made by peer audiences (the mixed treatment group). Data had been analyzed by the MANOVA and PLS method. MANOVA results indicate that only mixed method of both editor and audience recommendation mechanisms impacts on perceived news quality and trust. PLS results indicate that perceived news quality and trust could significantly affect on the perceived usefulness, service satisfaction, loyalty, continuance usage, and word-of-mouth intention. This study would contributions to empathize the role of information technology in media industry, to conceptualize the news value in the balanced views of both editors and audiences, and to empirically validate the benefits of news recommendation mechanisms in academy. For practice, the results of this study suggest that online news portals would be better to make mixed news recommendation mechanisms to attract audiences.

Comparison of Factors Influencing to Mobilization of Police to Crowd Gathering Occasion (다중운집행사 경찰동원에 영향을 미치는 요인 비교)

  • Kim, Sang-Woon
    • The Journal of the Korea Contents Association
    • /
    • v.17 no.6
    • /
    • pp.643-649
    • /
    • 2017
  • This research is to compare factors which influence to mobilize police force necessary for crowd gathering occasions, and the purpose of this research is to prepare scientific basis for mobilization of police force by understanding order of priority of obstructive factors to mobilize police force for progressing safe crowd gathering occasions. Crowd gathering occasion has a characteristic that minor cause can lead to huge damage because many people concentrically gather at a specific place. In order to control these risks, it is necessary to analyze criteria on order of priority which can arouse risk to mobilize police force. In this research, I classified the factors influencing safety of crowd gathering occasion as internal risk factor, external risk factor and traffic safety threatening and set up the level of private security manpower and participants mobilized to crowd gathering occasion as independent variable and set up mobilized police force from 2013 to 2014 as dependent variable and analyzed it hierarchical analysis. From the result of analysis, the biggest influence to mobilization of police force for crown gathering occasion was the number of participants, and next self order-keeping agents and reason of mobilizing police force. Based on the result of analysis that the biggest factor to mobilize police force to crowd gathering occasion is the number of participants, it can be resulted that the number of participants influence to the risk of crowd gathering occasion.