Proper solid waste disposal is an important socioeconomic concern for all developing countries.Municipalities have their own policies,individual approaches and methods to manage the solid wastes.They consider wastelan...Proper solid waste disposal is an important socioeconomic concern for all developing countries.Municipalities have their own policies,individual approaches and methods to manage the solid wastes.They consider wastelands outside the urban area as the best suitable for the solid waste disposal.Such improper site selection will create morphological changes that lead to environmental hazards in the urban and its surrounding areas.In this research,the site selection for urban solid waste disposal in the Coimbatore district used geographical information system(GIS)and multi-criteria decision analysis(MCDA).Thematic layers of lineament density,landuse/landcover,population density,groundwater depth,drainage density,slope,soil texture,geology and geomorphology were considered as primary criteria and weights for criteria,and sub-criteria were assigned by MCDA analysis.The resultant weight score was validated by consistency ratio so that the efficiency of the selected criteria was justified.The overlay analysis in GIS environment provides 17 potential zones in Coimbatore district,among which,four suitable sites were screened and refined with the help of field investigation and visual interpretation of satellite image.The result of landfill suitability map shows the effectiveness of the proposed method.展开更多
This article presents information on the distribution of Ferula tadshikorum Pimenov species in the botanical—geographical region of Uzbekistan, based on data collected from available resources, including internationa...This article presents information on the distribution of Ferula tadshikorum Pimenov species in the botanical—geographical region of Uzbekistan, based on data collected from available resources, including international sites, and databases, completed papers and directly conducted field studies. At the same time, under the circumstance that the natural area is directly getting smaller, the necessity and relevance of the thesis work on the evaluation of species’ natural reserves and the evaluation of the modern situations are demonstrated through examples. The Surkhandarya region is considered to have the largest number of plant species in Uzbekistan, and it is also distinguished by the variety of species. According to the location of the botanical-geographical regions of Uzbekistan, the territory of the Surkhandarya region is divided into five botanical-geographical regions (BGR). The 5 × 5 km2 grid system map includes 882 cells. Surkhan-Sherabod (BGR), Baisun (BGR), Sangardak-Topalang (BGR), Babatag (BGR), and Kuhitang (BGR) corresponded to these. Simultaneously, the 5 × 5 km2 grid system map of Uzbekistan’s flora in the Surkhandarya region revealed the presence of F. tadshikorum in 109 indices. On the territory of the region, the botanic-geographic region mainly includes the F. tadshikorum, Babatag (BGR), Baisun (BGR), and Kohitang (BGR) indices. The natural resources of F. tadshikorum in these areas were also analyzed.展开更多
Venipuncture robots have superior perception and stability to humans and are expected to replace manual venipuncture.However, their use is greatly restricted because they cannot make decisions regarding the puncture s...Venipuncture robots have superior perception and stability to humans and are expected to replace manual venipuncture.However, their use is greatly restricted because they cannot make decisions regarding the puncture sites. Thus, this study presents a multi-information fusion method for determining puncture sites for venipuncture robots to improve their autonomy in the case of limited resources. Here, numerous images have been gathered and processed to establish an image dataset of human forearms for training the U-Net with the soft attention mechanism(SAU-Net) for vein segmentation. Then, the veins are segmented from the images, feature information is extracted based on near-infrared vision, and a multiobjective optimization model for puncture site decision is provided by considering the depth, diameter, curvature, and length of the vein to determine the optimal puncture site. Experiments demonstrate that the method achieves a segmentation accuracy of 91.2% and a vein extraction rate of 86.7%while achieving the Pareto solution set(average time: 1.458 s) and optimal results for each vessel. Finally, a near-infrared camera is applied to the venipuncture robot to segment veins and determine puncture sites in real time, with the results transmitted back to the robot for an attitude adjustment. Consequently, this method can enhance the autonomy of venipuncture robots if implemented dramatically.展开更多
The purpose of this paper(presented online as a keynote lecture at the 25th Annual Indonesian Geotechnical Conference on 10 Nov 2021)is to broadly conceptualize the agenda for data-centric geotechnics,an emerging fiel...The purpose of this paper(presented online as a keynote lecture at the 25th Annual Indonesian Geotechnical Conference on 10 Nov 2021)is to broadly conceptualize the agenda for data-centric geotechnics,an emerging field that attempts to prepare geotechnical engineering for digital transformation.The agenda must include(1)development of methods that make sense of all real-world data(not selective input data for a physical model),(2)offering insights of significant value to critical real-world decisions for current or future practice(not decisions for an ideal world or decisions of minor concern to geotechnical engineers),and(3)sensitivity to the physical context of geotechnics(not abstract data-driven analysis connected to geotechnics in a peripheral way,i.e.,engagement with the knowledge and experience base should be substantial).These three elements are termed“data centricity”,“fit for(and transform)practice”,and“geotechnical context”in the agenda.Given that a knowledge of the site is central to any geotechnical engineering project,datadriven site characterization(DDSC)must constitute one key application domain in data-centric geotechnics,although other infrastructure lifecycle phases such as project conceptualization,design,construction,operation,and decommission/reuse would benefit from data-informed decision support as well.One part of DDSC that addresses numerical soil data in a site investigation report and soil property databases is pursued under Project DeepGeo.In principle,the source of data can also go beyond site investigation,and the type of data can go beyond numbers,such as categorical data,text,audios,images,videos,and expert opinion.The purpose of Project DeepGeo is to produce a 3D stratigraphic map of the subsurface volume below a full-scale project site and to estimate relevant engineering properties at each spatial point based on actual site investigation data and other relevant Big Indirect Data(BID).Uncertainty quantification is necessary,as current real-world data is insufficient,展开更多
About two thirds of the population in India lives in villages.There is an acute shortage of health centers in rural areas.Hospitals are not located uniformly across different regions of country.Rural areas are also no...About two thirds of the population in India lives in villages.There is an acute shortage of health centers in rural areas.Hospitals are not located uniformly across different regions of country.Rural areas are also not well connected with cities due to a lack of infrastructure.Therefore,the demand for super specialty hospitals is greater in rural areas.This paper has analyzed the health requirement in a prominent Indian state,Bihar,in terms of population density.The purpose of this study is to illustrate the hospital site-selection problem by using the fuzzy extended elimination and choice expressing reality(ELECTRE)approach.Different attributes considered for site selection in this paper are cost,proximity,population characteristics,availability of human resources,accessibility,environment,etc.The findings of the study will be of great value to the health ministry and policy makers in taking judicious decision s while selecting the site for a new hospital or health center.展开更多
An application of an unequal-weighted multi-objective decision making method in site selection of a waste sanitary landfill is discussed. The eight factors, which affected possible options, were: size and capacity of ...An application of an unequal-weighted multi-objective decision making method in site selection of a waste sanitary landfill is discussed. The eight factors, which affected possible options, were: size and capacity of the landfill, permeability of the stratum, the average difference in elevation between the groundwater level and the bottom of the landfill pit, quality and source of clay, the quality grade of the landfill site, the effect of landfill engineering on nearby residents, distance to the water supply and the water source as well as the cost of construction and waste transport. These are determined, given the conditions of the geological environment, the need for environmental protection and landfill site construction and transportation related to the design and operation of a sanitary landfill. The weights of the eight factors were further investigated based on the difference in their relevance. Combined with practical experience from Xuzhou city (Jiangsu province, China), the objectives, effects and weights of grey decision-making were deter- mined and the process and outcome of the landfill site selection are stated in detail. The decision-making results have been proven to be acceptable and correct. As we show, unequal-weighted multi-objective grey situation decision-mak- ing is characterized by easy calculations and good maneuverability when used in landfill site selection. The number of factors (objectives) affecting the outcome and the quantitative method of qualitative indices can be adjusted on the basis of concrete conditions in landfill site selection. Therefore, unequal-weighted multi-objective grey situation decision making is a feasible method in selecting landfill sites which offers a reference method for landfill site selection else- where. It is a useful, rational and scientific exploration in the choice of`a landfill site.展开更多
文摘Proper solid waste disposal is an important socioeconomic concern for all developing countries.Municipalities have their own policies,individual approaches and methods to manage the solid wastes.They consider wastelands outside the urban area as the best suitable for the solid waste disposal.Such improper site selection will create morphological changes that lead to environmental hazards in the urban and its surrounding areas.In this research,the site selection for urban solid waste disposal in the Coimbatore district used geographical information system(GIS)and multi-criteria decision analysis(MCDA).Thematic layers of lineament density,landuse/landcover,population density,groundwater depth,drainage density,slope,soil texture,geology and geomorphology were considered as primary criteria and weights for criteria,and sub-criteria were assigned by MCDA analysis.The resultant weight score was validated by consistency ratio so that the efficiency of the selected criteria was justified.The overlay analysis in GIS environment provides 17 potential zones in Coimbatore district,among which,four suitable sites were screened and refined with the help of field investigation and visual interpretation of satellite image.The result of landfill suitability map shows the effectiveness of the proposed method.
文摘This article presents information on the distribution of Ferula tadshikorum Pimenov species in the botanical—geographical region of Uzbekistan, based on data collected from available resources, including international sites, and databases, completed papers and directly conducted field studies. At the same time, under the circumstance that the natural area is directly getting smaller, the necessity and relevance of the thesis work on the evaluation of species’ natural reserves and the evaluation of the modern situations are demonstrated through examples. The Surkhandarya region is considered to have the largest number of plant species in Uzbekistan, and it is also distinguished by the variety of species. According to the location of the botanical-geographical regions of Uzbekistan, the territory of the Surkhandarya region is divided into five botanical-geographical regions (BGR). The 5 × 5 km2 grid system map includes 882 cells. Surkhan-Sherabod (BGR), Baisun (BGR), Sangardak-Topalang (BGR), Babatag (BGR), and Kuhitang (BGR) corresponded to these. Simultaneously, the 5 × 5 km2 grid system map of Uzbekistan’s flora in the Surkhandarya region revealed the presence of F. tadshikorum in 109 indices. On the territory of the region, the botanic-geographic region mainly includes the F. tadshikorum, Babatag (BGR), Baisun (BGR), and Kohitang (BGR) indices. The natural resources of F. tadshikorum in these areas were also analyzed.
基金supported by the National Natural Science Foundation of China (Grant No. U1813209)Self-Planned Task of State Key Laboratory of Robotics and System (Harbin Institute of Technology)(Grant No.SKLRS202112B)。
文摘Venipuncture robots have superior perception and stability to humans and are expected to replace manual venipuncture.However, their use is greatly restricted because they cannot make decisions regarding the puncture sites. Thus, this study presents a multi-information fusion method for determining puncture sites for venipuncture robots to improve their autonomy in the case of limited resources. Here, numerous images have been gathered and processed to establish an image dataset of human forearms for training the U-Net with the soft attention mechanism(SAU-Net) for vein segmentation. Then, the veins are segmented from the images, feature information is extracted based on near-infrared vision, and a multiobjective optimization model for puncture site decision is provided by considering the depth, diameter, curvature, and length of the vein to determine the optimal puncture site. Experiments demonstrate that the method achieves a segmentation accuracy of 91.2% and a vein extraction rate of 86.7%while achieving the Pareto solution set(average time: 1.458 s) and optimal results for each vessel. Finally, a near-infrared camera is applied to the venipuncture robot to segment veins and determine puncture sites in real time, with the results transmitted back to the robot for an attitude adjustment. Consequently, this method can enhance the autonomy of venipuncture robots if implemented dramatically.
文摘The purpose of this paper(presented online as a keynote lecture at the 25th Annual Indonesian Geotechnical Conference on 10 Nov 2021)is to broadly conceptualize the agenda for data-centric geotechnics,an emerging field that attempts to prepare geotechnical engineering for digital transformation.The agenda must include(1)development of methods that make sense of all real-world data(not selective input data for a physical model),(2)offering insights of significant value to critical real-world decisions for current or future practice(not decisions for an ideal world or decisions of minor concern to geotechnical engineers),and(3)sensitivity to the physical context of geotechnics(not abstract data-driven analysis connected to geotechnics in a peripheral way,i.e.,engagement with the knowledge and experience base should be substantial).These three elements are termed“data centricity”,“fit for(and transform)practice”,and“geotechnical context”in the agenda.Given that a knowledge of the site is central to any geotechnical engineering project,datadriven site characterization(DDSC)must constitute one key application domain in data-centric geotechnics,although other infrastructure lifecycle phases such as project conceptualization,design,construction,operation,and decommission/reuse would benefit from data-informed decision support as well.One part of DDSC that addresses numerical soil data in a site investigation report and soil property databases is pursued under Project DeepGeo.In principle,the source of data can also go beyond site investigation,and the type of data can go beyond numbers,such as categorical data,text,audios,images,videos,and expert opinion.The purpose of Project DeepGeo is to produce a 3D stratigraphic map of the subsurface volume below a full-scale project site and to estimate relevant engineering properties at each spatial point based on actual site investigation data and other relevant Big Indirect Data(BID).Uncertainty quantification is necessary,as current real-world data is insufficient,
文摘About two thirds of the population in India lives in villages.There is an acute shortage of health centers in rural areas.Hospitals are not located uniformly across different regions of country.Rural areas are also not well connected with cities due to a lack of infrastructure.Therefore,the demand for super specialty hospitals is greater in rural areas.This paper has analyzed the health requirement in a prominent Indian state,Bihar,in terms of population density.The purpose of this study is to illustrate the hospital site-selection problem by using the fuzzy extended elimination and choice expressing reality(ELECTRE)approach.Different attributes considered for site selection in this paper are cost,proximity,population characteristics,availability of human resources,accessibility,environment,etc.The findings of the study will be of great value to the health ministry and policy makers in taking judicious decision s while selecting the site for a new hospital or health center.
基金Projects 40372069 supported by the National Natural Science Foundation of China, NCET-05-0479 by the Support Program of Excellent Ability in the NewEra of Ministry of Education and 0F4506 by the Science and Technology Foundation of China University of Mining & Technology
文摘An application of an unequal-weighted multi-objective decision making method in site selection of a waste sanitary landfill is discussed. The eight factors, which affected possible options, were: size and capacity of the landfill, permeability of the stratum, the average difference in elevation between the groundwater level and the bottom of the landfill pit, quality and source of clay, the quality grade of the landfill site, the effect of landfill engineering on nearby residents, distance to the water supply and the water source as well as the cost of construction and waste transport. These are determined, given the conditions of the geological environment, the need for environmental protection and landfill site construction and transportation related to the design and operation of a sanitary landfill. The weights of the eight factors were further investigated based on the difference in their relevance. Combined with practical experience from Xuzhou city (Jiangsu province, China), the objectives, effects and weights of grey decision-making were deter- mined and the process and outcome of the landfill site selection are stated in detail. The decision-making results have been proven to be acceptable and correct. As we show, unequal-weighted multi-objective grey situation decision-mak- ing is characterized by easy calculations and good maneuverability when used in landfill site selection. The number of factors (objectives) affecting the outcome and the quantitative method of qualitative indices can be adjusted on the basis of concrete conditions in landfill site selection. Therefore, unequal-weighted multi-objective grey situation decision making is a feasible method in selecting landfill sites which offers a reference method for landfill site selection else- where. It is a useful, rational and scientific exploration in the choice of`a landfill site.
