scholarly journals Mathematical Investigation on the Sustainability of UAV Logistics

2019 ◽  
Vol 11 (21) ◽  
pp. 5932 ◽  
Author(s):  
Joonyup Eun ◽  
Byung Duk Song ◽  
Sangbok Lee ◽  
Dae-Eun Lim
Keyword(s):  
Phase I ◽  
Environmentally Friendly ◽  
Cost Effective ◽  
Electrical Energy ◽  
Weight Restrictions ◽  
Two Phase ◽  
Logistics Industry ◽  
Ground Vehicle ◽  
Delivery Service ◽  
Effective Option

Unmanned aerial vehicles (UAVs) are expected to make groundbreaking changes in the logistics industry. Leading logistics companies have been developing and testing their usage of UAVs recently as an environmentally friendly and cost-effective option. In this paper, we investigate how much the UAV delivery service is environmentally friendly compared to the traditional ground vehicle (GV) delivery service. Since there are fuel (battery) and loadable weight restrictions in the UAV delivery, multi-hopping of UAV is necessary, which may cause a large consumption of electrical energy. We present a two-phase approach. In Phase I, a new vehicle routing model to obtain optimal delivery schedules for both UAV-alone and GV-alone delivery systems is proposed, which considers each system’s restrictions, such as the max loadable weight and fuel replenishment. In Phase II, CO2 emissions are computed as a sustainability measure based on the travelling distance of the optimal route obtained from Phase I, along with various GV travel-speeds. A case study finds that the UAV-alone delivery system is much more CO2 efficient in all ranges of the GV speeds investigated.

scholarly journals Modified Virtual Semi-Circle Approach for a Reactive Collision Avoidance of a Mobile Robot in an Outdoor Environment

2014 ◽  
Vol 679 ◽  
pp. 171-175 ◽  
Author(s):  
R.N. Farah ◽  
N. Irwan ◽  
Raja Lailatul Zuraida ◽  
Amira Shahirah ◽  
Mohd Hanafi Omar
Keyword(s):  
Path Planning ◽  
Optimal Path ◽  
Cost Effective ◽  
Outdoor Environment ◽  
Unmanned Ground Vehicle ◽  
Influence Zone ◽  
Two Phase ◽  
Ground Vehicle ◽  
Optimal Path Planning ◽  
Reactive Collision

There are numerous numbers of methods that have been introduced to the Unmanned Ground Vehicle (UGV) to find its optimal path. The purpose of this paper is to navigate a cost effective UGV known as MG-TruckS with optimal path planning in an outdoor environment. A Modified Virtual Semi Circle approach is proposed based on situated-activity paradigm. This approach is divided into two phase to compute a free collision path planning; detection and avoidance phase. Implementation of five ultrasonic range finder sensors with a very small blind zone created on purpose and the formation of three layers of influence zone shows the optimized path planning without making any unnecessary obstacle avoidance being computed.

Electrochemical cleaning of soils with different concentrations of oil pollution using a single source of electrical voltage

2020 ◽  
Vol 10 (6) ◽  
pp. 674-680
Author(s):  
Nikolay S. Shulaev ◽  
◽  
Valeriya V. Pryanichnikova ◽  
Ramil R. Kadyrov ◽  
Inna V. Ovsyannikova ◽  
...  
Keyword(s):  
Contaminated Soils ◽  
Oil Pollution ◽  
Cost Effective ◽  
Electrical Energy ◽  
Design Parameters ◽  
Technological Infrastructure ◽  
Chemical Reagents ◽  
Electrode Space ◽  
Soil Excavation ◽  
Interelectrode Resistance

The most essential scientifific and practical task in the area of ecological safety of pipelines operation is the development and improvement of methods of purifification and restoration of oil-contaminated soils. One of the most effificient and cost effective methods is electrochemical purifification, that does not require the use of expensive chemical reagents and soil excavation. However, the consideration of non-uniform contamination of various soil sections is required. The article examines the features of the organization and technological infrastructure for electrochemical purifification of non-uniformly contaminated soils when using a single electrical energy source, a method for calculating the design parameters of the corresponding installation is proposed. Effificient purifification of non-uniformly contaminated soil when using a specifified voltage is possible through the use of different-sized electrodes. For each soil type, the amount of transmitted electric charge required for soil purifification is determined by the concentration of the contaminant. Allocation of cathodes and anodes as parallel batteries and their connection using individual buses is an effective and energy-effificient solution, since an almost-uniform electric fifield is created in an inter-electrode space, thus allowing the reduction of the interelectrode resistance of the medium.

Efficient Schedule of Energy-Constrained UAV Using Crowdsourced Buses in Last-Mile Parcel Delivery

2021 ◽  
Vol 5 (1) ◽  
pp. 1-23
Author(s):  
Yan Pan ◽  
Shining Li ◽  
Qianwu Chen ◽  
Nan Zhang ◽  
Tao Cheng ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Large Scale ◽  
Load Capacity ◽  
Scheduling Algorithm ◽  
Cost Effective ◽  
Promising Alternative ◽  
Logistics Industry ◽  
Last Mile ◽  
Delivery Scheduling ◽  
Schedule Approach

Stimulated by the dramatical service demand in the logistics industry, logistics trucks employed in last-mile parcel delivery bring critical public concerns, such as heavy cost burden, traffic congestion and air pollution. Unmanned Aerial Vehicles (UAVs) are a promising alternative tool in last-mile delivery, which is however limited by insufficient flight range and load capacity. This paper presents an innovative energy-limited logistics UAV schedule approach using crowdsourced buses. Specifically, when one UAV delivers a parcel, it first lands on a crowdsourced social bus to parcel destination, gets recharged by the wireless recharger deployed on the bus, and then flies from the bus to the parcel destination. This novel approach not only increases the delivery range and load capacity of battery-limited UAVs, but is also much more cost-effective and environment-friendly than traditional methods. New challenges therefore emerge as the buses with spatiotemporal mobility become the bottleneck during delivery. By landing on buses, an Energy-Neutral Flight Principle and a delivery scheduling algorithm are proposed for the UAVs. Using the Energy-Neutral Flight Principle, each UAV can plan a flying path without depleting energy given buses with uncertain velocities. Besides, the delivery scheduling algorithm optimizes the delivery time and number of delivered parcels given warehouse location, logistics UAVs, parcel locations and buses. Comprehensive evaluations using a large-scale bus dataset demonstrate the superiority of the innovative logistics UAV schedule approach.

scholarly journals Romidepsin and lenalidomide based regimens have efficacy in relapsed/refractory lymphoma: combined analysis of two phase I studies with expansion cohorts

2021 ◽  
Author(s):  
Neha Mehta‐Shah ◽  
Matthew A. Lunning ◽  
Alison J. Moskowitz ◽  
Adam M. Boruchov ◽  
Jia Ruan ◽  
...  
Keyword(s):  
Phase I ◽  
Two Phase ◽  
Phase I Studies ◽  
Combined Analysis ◽  
Refractory Lymphoma

scholarly journals Nurses’ educational needs when dealing with aggression from patients and their families: a mixed-methods study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e041711
Author(s):  
Kana Sato ◽  
Yoshimi Kodama
Keyword(s):  
Mixed Methods ◽  
Nursing Students ◽  
Phase I ◽  
Phase Ii ◽  
Mixed Methods Study ◽  
Self Awareness ◽  
Two Phase ◽  
Sequential Mixed Methods ◽  
Nursing Professionals ◽  
Educational Contents

ObjectivesTo explore the type of education needed for nurses when dealing with aggression from patients and their families.DesignA two-phase sequential mixed-methods study.SettingThis study was conducted in Japan, with phase I from March to November 2016 and phase II in November 2018.Main outcome measuresThe challenges faced by nurses when dealing with incidents of aggression from the neutral perspective of neither nurse nor patient/family and perceptions of the educational contents developed in this study. Descriptive analyses were used to examine the data retrieved from both phases.ParticipantsPhase I entailed semistructured interviews among 11 neutral-party participants who observed aggressive incidents between nurses and patients/families. Phase II consisted of a web survey conducted among 102 nursing students and 308 nursing professionals.ResultsPhase I resulted in the identification of the following five main educational components: understanding the mechanisms of anger and aggression, maintaining self-awareness, observant listening, managing the self-impression, and communicating based on specific disease characteristics. Each component was related to improved communication through self-awareness. The results of phase II indicated that participants positively perceived these educational contents as likely to be effective for dealing with aggression from patients/families.ConclusionsThis study clarified the type of education needed for nurses when dealing with aggression based on multiple viewpoints. Specifically, neutral-party interviews revealed that communication should be improved through self-awareness. A subsequent survey among nurses and nursing students showed that the identified educational contents were positively received.

scholarly journals Analysis of the Optimal Application of Blockchain-Based Smart Lockers in the Logistics Industry Based on FFD-SAGA and Grey Decision-Making

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 329
Author(s):  
Shen-Tsu Wang ◽  
Meng-Hua Li ◽  
Chun-Chi Lien
Keyword(s):  
Web Application ◽  
Success Factors ◽  
Service Providers ◽  
Cost Effective ◽  
Application Programming Interface ◽  
Fractional Factorial ◽  
Office Workers ◽  
Logistics Industry ◽  
Blockchain Technology ◽  
Multiple Attribute

Blockchain technology has been applied to logistics tracking, but it is not cost-effective. The development of smart lockers has solved the problem of repeated distribution to improve logistics efficiency, thereby becoming a solution with convenience and privacy compared to the in-store purchase and pickup alternative. This study prioritized the key factors of smart lockers using a simulated annealing–genetic algorithm by fractional factorial design (FFD-SAGA) and grey relational analysis, and investigated the main users of smart lockers by grey multiple attribute decision analysis. The results show that the Web application programming interface (API) concatenation and money flow provider are the key success factors of smart lockers, and office workers are the main users of the lockers. Hence, how to better meet the needs of office workers will be an issue of concern for service providers.

scholarly journals ANN-Based Decision Making in Station Keeping for Geotechnical Drilling Vessel

2021 ◽  
Vol 9 (6) ◽  
pp. 596
Author(s):  
Murugan Ramasamy ◽  
Mohammed Abdul Hannan ◽  
Yaseen Adnan Ahmed ◽  
Arun Kr Dev
Keyword(s):  
Decision Making ◽  
Water Depth ◽  
Business Models ◽  
Cost Benefit ◽  
Cost Effective ◽  
Station Keeping ◽  
Operational Information ◽  
Effective Option ◽  
The Cost ◽  
Cost Factors

Offshore vessels (OVs) often require precise station-keeping and some vessels, for example, vessels involved in geotechnical drilling, generally use Spread Mooring (SM) or Dynamic Positioning (DP) systems. Most of these vessels are equipped with both systems to cover all ranges of water depths. However, determining which system to use for a particular operational scenario depends on many factors and requires significant balancing in terms of cost-benefit. Therefore, this research aims to develop a platform that will determine the cost factors for both the SM and DP station-keeping systems. Operational information and cost data are collected for several field operations, and Artificial Neural Networks (ANN) are trained using those data samples. After that, the trained ANN is used to predict the components of cost for any given environmental situation, fieldwork duration and water depth. Later, the total cost is investigated against water depth for both DP and SM systems to determine the most cost-effective option. The results are validated using two operational scenarios for a specific geotechnical vessel. This decision-making algorithm can be further developed by adding up more operational data for various vessels and can be applied in the development of sustainable decision-making business models for OVs operators.

scholarly journals Damping Pressure Pulsations in a Wave-Powered Desalination System

2014 ◽  
Vol 136 (2) ◽  
Author(s):  
Brandon J. Hopkins ◽  
Nikhil Padhye ◽  
Alison Greenlee ◽  
James Torres ◽  
Levon Thomas ◽  
...  
Keyword(s):  
Constant Pressure ◽  
Low Cost ◽  
Pressure Fluctuations ◽  
Cost Effective ◽  
Coastal Communities ◽  
Pressure Pulsations ◽  
Pressure Flow ◽  
Reliable Source ◽  
Effective Option ◽  
Elastic Pipes

Wave-driven reverse osmosis desalination systems can be a cost-effective option for providing a safe and reliable source of drinking water for large coastal communities. Such systems usually require the stabilization of pulsating pressures for desalination purposes. The key challenge is to convert a fluctuating pressure flow into a constant pressure flow. To address this task, stub-filters, accumulators, and radially elastic-pipes are considered for smoothing the pressure fluctuations in the flow. An analytical model for fluidic capacitance of accumulators and elastic pipes are derived and verified. Commercially available accumulators in combination with essentially rigid (and low cost) piping are found to be a cost-effective solution for this application, and a model for selecting accumulators with the required fluidic-capacitance for the intended system is thus presented.

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