A Multiple Level of Detail Approach to the Tactical Movement Problem

2012 ◽  
Vol 6 (6) ◽  
pp. 749-756 ◽  
Author(s):  
Peter Beasley ◽  
◽  
P. Ross McAree
Keyword(s):  
Optimal Path ◽  
Optimal Solution ◽  
Cost Effective ◽  
Multiple Level ◽  
Practical Application ◽  
Robotic Excavator ◽  
The World ◽  
The Cost ◽  
Robotic Agent ◽  
Movement Problem

The tactical movement problemis considered to be one in which a robotic agent is required to move around its world to complete a task. This agent has manipulation abilities which allow it to perform work on its local surroundings. The coupled optimisation of the agent movements and manipulations is thus of key importance to minimise the cost of completing the task. The driving practical application in this paper is one of cost effective excavation in a mining environment. The agent is a mining shovel and it has the ability to manipulate the world through excavation actions. The problem becomes one of determining the optimal path that the shovel should take and the dig operations that should be completed at each point along the path. An initial solution is presented to automatically generate an optimized dig plan for a large robotic excavator. A wavelet based detail reduction approach is used which allows a near optimal solution of the problem to be generated in practically useful timeframes.

scholarly journals Solar Simulation Model to Find Optimal Solution for Domestic Load

2021 ◽  
Vol 9 (VII) ◽  
pp. 2643-2646
Author(s):  
Mujeeb Jeelani Magray
Keyword(s):  
Feasible Solution ◽  
Optimal Solution ◽  
Power Production ◽  
Solar Pv ◽  
Environment Friendly ◽  
Power Outage ◽  
The World ◽  
Cost Competitiveness ◽  
The Cost

Looking at the energy sector of India, it is the 3rd largest producer in the world and holds the largest grid in the world. Despite the presence of largest grid, still frequent power outage, delivery of low quality of power and unreliability of supply persistent in some areas. This unreliable power supply creates hindrance in the overall development of the region. On the other hand solar power is most widely used source of renewable energy, can be able to provide feasible solution. By installation of solar PV array in the premises of the load center the reliability will be increased. The power production from the PV is also cost competitive and environment friendly. As solar PV power is intermittent in nature, the most old and mature storage technology ,i.e. battery can be integrated to mitigate this intermittency nature. The present study examines the feasibility and optimizes the size of such system, while the cost competitiveness is kept at the center.

Optimum Seeking Position Control of Solar Collectors

2009 ◽  
Vol 62-64 ◽  
pp. 537-542
Author(s):  
A.S. Kadalla ◽  
I.L. Samaila ◽  
N.Z. Oriolowo
Keyword(s):  
Feedback Control ◽  
Experimental Work ◽  
Position Control ◽  
Cost Effective ◽  
Solar Collectors ◽  
Solar Systems ◽  
The World ◽  
Solar Conversion ◽  
The Cost ◽  
Feedback Control Theory

The main hindrance to the widespread of solar systems is the cost of the solar collectors. Researchers all over the world have been exploring different means of overcoming this limitation in order to make solar conversion more cost effective. This paper describes an experimental work on optimum seeking position of solar collectors using feedback control theory. Single axis tracking mode is employed together with sun seek sensor for automatic reset. The performance of the tracking collector compares favorably against a fixed collector.

BIOPLATO IN CRIMEA – THE SOLUTION TO AN OLD PROBLEM

2021 ◽  
Vol 1 (175) ◽  
pp. 81-87
Author(s):  
V.A. Lisichkin ◽  
Keyword(s):  
Cost Effective ◽  
Wastewater Disposal ◽  
Main Obstacle ◽  
The World ◽  
Russian President ◽  
The Crimea ◽  
The Russian Federation ◽  
The Cost ◽  
Vladimir Putin ◽  
Tourist Flow

In a Message to the Federal Assembly of the Russian Federation, Russian President Vladimir Putin set the task of bringing the domestic tourist flow to Crimea to 20 million tourists a year. The main obstacle in solving this problem is the problem of water supply and wastewater treatment (wastewater disposal). The article proposes and describes the cost-effective and environmentally friendly technology of bio-cleaning – «Bioplato», successfully used in many countries of the world, the introduction of which in the Crimea will help to solve the main problem of tourism development on the peninsula.

scholarly journals Plant breeding to control zinc deficiency in India: how cost-effective is biofortification?

2007 ◽  
Vol 10 (5) ◽  
pp. 492-501 ◽  
Author(s):  
Alexander J Stein ◽  
Penelope Nestel ◽  
JV Meenakshi ◽  
Matin Qaim ◽  
HPS Sachdev ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Zinc Deficiency ◽  
Household Survey ◽  
Cost Effective ◽  
International Standards ◽  
World Health ◽  
Potential Health ◽  
Life Years ◽  
The World ◽  
The Cost

AbstractObjectiveTo estimate the potential impact of zinc biofortification of rice and wheat on public health in India and to evaluate its cost-effectiveness compared with alternative interventions and international standards.DesignThe burden of zinc deficiency (ZnD) in India was expressed in disability-adjusted life years (DALYs) lost. Current zinc intakes were derived from a nationally representative household food consumption survey (30-day recall) and attributed to household members based on adult equivalent weights. Using a dose–response function, projected increased zinc intakes from biofortified rice and wheat were translated into potential health improvements for pessimistic and optimistic scenarios. After estimating the costs of developing and disseminating the new varieties, the cost-effectiveness of zinc biofortification was calculated for both scenarios and compared with alternative micronutrient interventions and international reference standards.SettingIndia.SubjectsRepresentative household survey (n = 119 554).ResultsThe calculated annual burden of ZnD in India is 2.8 million DALYs lost. Zinc biofortification of rice and wheat may reduce this burden by 20–51% and save 0.6–1.4 million DALYs each year, depending on the scenario. The cost for saving one DALY amounts to $US 0.73–7.31, which is very cost-effective by standards of the World Bank and the World Health Organization, and is lower than that of most other micronutrient interventions.ConclusionsNot only may zinc biofortification save lives and prevent morbidity among millions of people, it may also help accommodate the need to economise and to allocate resources more efficiently. Further research is needed to corroborate these findings.

scholarly journals Investigating Health-Related Features and Their Impact on the Prediction of Diabetes Using Machine Learning

2021 ◽  
Vol 11 (3) ◽  
pp. 1173
Author(s):  
Hafiz Farooq Ahmad ◽  
Hamid Mukhtar ◽  
Hesham Alaqail ◽  
Mohamed Seliaman ◽  
Abdulaziz Alhumam
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Large Scale ◽  
Cost Effective ◽  
World Health ◽  
Evaluation Metrics ◽  
Diabetic Patients ◽  
The World ◽  
The Government ◽  
The Cost

Diabetes Mellitus (DM) is one of the most common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of its medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient with only a handful of features can allow cost-effective, rapid, and widely-available screening of diabetes, thereby lessening the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic patients and compare the role of HbA1c and FPG as input features. By using five different machine learning classifiers, and using feature elimination through feature permutation and hierarchical clustering, we established good performance for accuracy, precision, recall, and F1-score of the models on the dataset implying that our data or features are not bound to specific models. In addition, the consistent performance across all the evaluation metrics indicate that there was no trade-off or penalty among the evaluation metrics. Further analysis was performed on the data to identify the risk factors and their indirect impact on diabetes classification. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing analysis of the disease using selected features, important factors specific to the Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learned from this research.

scholarly journals Cloud infrastructure solution: Building cost effective model for real time hands-on labs using computing methodologies for productive learning solutions in academics

2018 ◽  
Vol 7 (4) ◽  
pp. 2241
Author(s):  
Yogesh Madhukar Ghorpade ◽  
Prof. Dr. R. Kamatchi
Keyword(s):  
Computing Methodology ◽  
Cost Effective ◽  
Digital Transformation ◽  
Academic Environment ◽  
Cloud Infrastructure ◽  
Cost Effective Approach ◽  
Hands On ◽  
The World ◽  
The Cost ◽  
The Given

By in 2021, more than half of global enterprises already using cloud today adopt an all in cloud strategy [6]. Is today the world of modern infrastructure using digital transformation results cost effective approach? If yes, than how it has to be transformed and if No, than what are the differences between approaches applied. The cost effective methodology and its implementation is primary approach towards cost computing to bring effectiveness with the proper requirements and provides proper solution.The productive learning with different approach is the vital requirement for today’s Cloud infrastructure building from student’s perspective needs to be understood [13 - 15]. The paper aims in building and implementing the Lab infrastructure using developed model for cost effective approach by comparing On-premise vendors with cloud vendors. The technology that is used for the experiment are open-source and Proprietary. The paper results with the best approach used in cost computing methodology providing best solution for the given requirement in academic environment. 

Agile and cost-effective ultrasonic module for people with visual impairment using a headphone jack: Implications for enhancing mobility aids

2017 ◽  
Vol 35 (3) ◽  
pp. 275-282
Author(s):  
GC Keerthi Vasan ◽  
B Suresh ◽  
M Venkatesan
Keyword(s):  
Data Acquisition ◽  
Visual Impairment ◽  
Cost Effective ◽  
Data Acquisition System ◽  
Mobile App ◽  
Effective Feedback ◽  
Use Of Data ◽  
Mobility Aids ◽  
The World ◽  
The Cost

Over 80% of the world’s people with visual impairment are living in countries which are financially dire. And over 50% of them are above the age of 50 years. The need for a system or of technology that would enable this sector of people to perceive the world in much the same way as the rest of us is imminent. The article presents a novel way to eliminate the use of data acquisition system (DAQ) systems/micro-controllers by incorporating a headphone jack. With the aid of a headphone jack, a cost-effective wearable ultrasonic module that would enable people with visual impairment to virtually see is implemented. Unlike conventional walking canes or its derivatives that do not offer effective feedback, the ingenuity in the proposed module is that it offers audible feedback to the user. The ultrasonic sensor is coupled with the headphone jack and the output of the sensor is relayed to the earphones with the help of a free mobile app (Mic To Speaker). This substantially reduces the cost of the module (since no DAQs/micro-controllers are used) and the processing needed as well.

scholarly journals Are Grassland Conservation Programs a Cost-Effective Way to Fight Climate Change? Evidence from France

2019 ◽  
Author(s):  
Sylvain Chabé-Ferret ◽  
Anca Voia
Keyword(s):  
Climate Change ◽  
Forest Conservation ◽  
Natural Experiment ◽  
Cost Effective ◽  
Conservation Programs ◽  
Grassland Conservation ◽  
The World ◽  
Eligibility Requirements ◽  
Combat Climate Change ◽  
The Cost

Grasslands, especially when extensively managed and when replacing croplands, store Green-House Gases. As a result, Grassland Conservation Programs, that pay farmers for maintaining grassland cover, might be an effective way to combat climate change, if they succeed in triggering an increase in grassland cover for a reasonable amount of money. In this paper, we use a natural experiment to estimate the cost-effectiveness of the French Grassland Conservation Program, the largest of such programs in the world. We exploit a change in the eligibility requirements for the program that generated a sizable increase in the proportion of participants in the communes most affected by the program. We find that the expansion of the program leads to a small in- crease in grassland area, mainly at the expense of croplands, which implies that the program expansion increased carbon storage. We estimate that the climate benefits from the program are at most equal to 19%±37% of its costs. The program is thus not cost-effective for fighting climate change, especially when compared with forest conservation programs in developing countries whose benefits have been estimated to exceed costs by a factor of two. When taking into account the other benefits brought about by grassland, we find the benefits of the program to be equal to 32%±62% of its costs.

scholarly journals A REVIEW OF USING NATURAL RUBBER IN THE MODIFICATION OF BITUMEN AND ASPHALT MIXTURES USED FOR ROAD CONSTRUCTION

2019 ◽  
Vol 81 (6) ◽  
Author(s):  
Abdulnaser Al-Sabaeei ◽  
Nur Izzi Md. Yussof ◽  
Madzlan Napiah ◽  
Muslich Sutanto
Keyword(s):  
Natural Rubber ◽  
Road Construction ◽  
Cost Effective ◽  
Asphalt Mixtures ◽  
Pavement Distress ◽  
The Past ◽  
The World ◽  
Pavement Engineering ◽  
The Cost ◽  
Near Future

A comprehensive review using natural rubber in the modification of bitumen used for road construction is presented in this paper. The sources, types and properties of natural rubber are discussed briefly. The methods used by researchers to add natural rubber as a modifier for bitumen are also discussed. A literature review of the effects of natural rubber on the physical, mechanical and rheological properties of bitumen and the performance of asphalt mixtures over the past three decades is presented along with the cost analysis of using natural rubber as a modifier in comparison to using other polymers. Researchers in the field of the highway and pavement engineering need to find a method to deal with the most common pavement distress by using local additives such as natural rubber. It is expected that a special, cost effective and long lasting natural rubber modified flexible for road pavements, which is also fatigue and rut resistant, will be developed in the near future. This will reduce the amount of expenses required for the annual maintenance of asphalt mixtures around the world.

scholarly journals Modeling Method for Cost and Carbon Emission of Sheep Transportation Based on Path Optimization

2020 ◽  
Vol 12 (3) ◽  
pp. 835
Author(s):  
Mengjie Zhang ◽  
Lei Wang ◽  
Huanhuan Feng ◽  
Luwei Zhang ◽  
Xiaoshuan Zhang ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
Carbon Emissions ◽  
Evaluation Model ◽  
Optimal Path ◽  
Optimal Solution ◽  
Path Optimization ◽  
Power Cost ◽  
Random Path ◽  
Different Types ◽  
The Cost

Energy conservation, cost, and emission reduction are the research topics of most concern today. The aim of this paper is to reduce the cost and carbon emissions and improve the sustainable development of sheep transportation. Under the typical case of the “farmers–middlemen–slaughterhouses” (FMS) supply model, this paper comprehensively analyzed the factors, sources, and types of cost and carbon emissions in the process of sheep transportation, and a quantitative evaluation model was established. The genetic algorithm (GA) was proposed to search for the optimal path of sheep transportation, and then the model solving algorithm was designed based on the basic GA. The results of path optimization indicated that the optimal solution can be obtained effectively when the range of basic parameters of GA was set reasonably. The optimal solution is the optimal path and the shortest distance under the supply mode of FMS, and the route distance of the optimal path is 245.6 km less than that of random path. From the cost distribution, the fuel power cost of the vehicle, labor cost in transportation, and consumables cost account for a large proportion, while the operation and management cost of the vehicle and depreciation cost of the tires account for a small proportion. The total cost of the optimal path is 26.5% lower than that of the random path, and the total carbon emissions are 36.3% lower than that of random path. Path optimization can thus significantly reduce the cost of different types and significantly reduce the proportion of vehicle fuel power cost and consumables cost, but the degree of cost reduction of different types is different. The result of the optimal path is the key to be explored in this study, and it can be used as the best reference for sheep transportation. The quantitative evaluation model established in this paper can systematically measure the cost and carbon emissions generated in the sheep transportation, which can provide theoretical support for practical application.

Sign in / Sign up

Export Citation Format

Share Document