Mobile sensors' patrol path planning in unobservable border region

2020 ◽  
Vol 13 (3) ◽  
pp. 311-329 ◽  
Author(s):  
Wichai Pawgasame ◽  
Komwut Wipusitwarakun
Keyword(s):  
Path Planning ◽  
Research Paper ◽  
Resource Scarcity ◽  
Border Region ◽  
Sensor Planning ◽  
Environmental Characteristics ◽  
Problem Model ◽  
Content Type ◽  
Planning Scheme ◽  
Border Surveillance

PurposeThe border control becomes challenging when a protected region is large and there is a limited number of border patrols. This research paper proposes a novel heuristic-based patrol path planning scheme in order to efficiently patrol with resource scarcity.Design/methodology/approachThe trespasser influencing score, which is determined from the environmental characteristics and trespassing statistic of the region, is used as a heuristic for measuring a chance of approaching a trespasser. The patrol plan is occasionally updated with a new trespassing statistic during a border operation. The performance of the proposed patrol path planning scheme was evaluated and compared with other patrol path planning schemes by the empirical experiment under different scenarios.FindingsThe result from the experiment indicates that the proposed patrol planning outperforms other patrol path planning schemes in terms of the trespasser detection rate, when more environment-aware trespassers are in the region.Research limitations/implicationsThe experiment was conducted through simulated agents in simulated environment, which were assumed to mimic real behavior and environment.Originality/valueThis research paper contributes a heuristic-based patrol path planning scheme that applies the environmental characteristics and dynamic statistic of the region, as well as a border surveillance problem model that would be useful for mobile sensor planning in a border surveillance application.

Online time-optimal path and trajectory planning for robotic multipoint assembly

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yi Liu ◽  
Meng Joo Er ◽  
Chen Guo
Keyword(s):  
Dynamic Programming ◽  
Path Planning ◽  
Trajectory Planning ◽  
Optimal Path ◽  
Adaptive Dynamic Programming ◽  
Problem Model ◽  
Content Type ◽  
Markov Decision ◽  
Time Optimal ◽  
Planning Algorithm

Purpose The purpose of this paper is to propose an efficient path and trajectory planning method to solve online robotic multipoint assembly. Design/methodology/approach A path planning algorithm called policy memorized adaptive dynamic programming (PM-ADP) combines with a trajectory planning algorithm called adaptive elite genetic algorithm (AEGA) for online time-optimal path and trajectory planning. Findings Experimental results and comparative study show that the PM-ADP is more efficient and accurate than traditional algorithms in a smaller assembly task. Under the shortest assembly path, AEGA is used to plan the time-optimal trajectories of the robot and be more efficient than GA. Practical implications The proposed method builds a new online and efficient path planning arithmetic to cope with the uncertain and dynamic nature of the multipoint assembly path in the Cartesian space. Moreover, the optimized trajectories of the joints can make the movement of the robot continuously and efficiently. Originality/value The proposed method is a combination of time-optimal path planning with trajectory planning. The traveling salesman problem model of assembly path is established to transfer the assembly process into a Markov decision process (MDP). A new dynamic programming (DP) algorithm, termed PM-ADP, which combines the memorized policy and adaptivity, is developed to optimize the shortest assembly path. GA is improved, termed AEGA, which is used for online time-optimal trajectory planning in joints space.

scholarly journals Multi-UAVs cooperative task assignment and path planning scheme

2021 ◽  
Vol 1856 (1) ◽  
pp. 012016
Author(s):  
Xiaoyu Du ◽  
Qicheng Guo ◽  
Hui Li ◽  
Yanyu Zhang
Keyword(s):  
Path Planning ◽  
Task Assignment ◽  
Planning Scheme

SMEs strategic networks and innovative performance: a relational design and methodology for knowledge sharing

2020 ◽  
Vol 24 (6) ◽  
pp. 1369-1392 ◽  
Author(s):  
Elena-Mădălina Vătămănescu ◽  
Juan-Gabriel Cegarra-Navarro ◽  
Andreia Gabriela Andrei ◽  
Violeta-Mihaela Dincă ◽  
Vlad-Andrei Alexandru
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Structural Model ◽  
Resource Scarcity ◽  
Content Type ◽  
Strategic Networks ◽  
Innovative Performance ◽  
Positive Effects ◽  
Model Combining ◽  
Fierce Competition

Purpose In the context of resource scarcity, the affiliation of small and medium-sized enterprises (SMEs) to strategic networks has emerged as a fruitful path towards knowledge sharing as a reaction to fierce competition and with a view to enhance their innovative performance. In this framework, this paper aims to investigate the influence exerted by a specific relational design (i.e. types of strategic networks) and methodology (i.e. channels and content) of knowledge sharing on SMEs innovative performance. Design/methodology/approach A questionnaire-based survey with 102 top managers of European SMEs in the industrial field was conducted from June to August 2019 and a partial least squares structural equation modelling technique was used. The database was initially filtered to ensure the adequacy of the sample and data was analysed using the statistics software package SmartPLS 3.0. Findings The results concluded that the structural model explains 38.5% of the variance in SMEs innovative performance, indicating the positive effects exerted by offline and online and by competitive knowledge sharing on the dependent variable. Research implications The study has both theoretical and practical implications in that it sets out a reference point for the key performance indicators for strategic networks structure, formation and development and, implicitly, for the selection of the most efficient relational design and methodology. Originality/value The pivotal originality elements reside in the advancement of a more comprehensive conceptual and structural model combining a two-fold operationalization of SMEs strategic networks (founded on business abilities or on the personality of the partner) and in the investigation of knowledge transfer processes at the inter-organizational levels within a context-centric approach.

Optimal path planning with modified A-Star algorithm for stealth unmanned aerial vehicles in 3D network radar environment

2021 ◽  
pp. 095441002110073
Author(s):  
Zhe Zhang ◽  
Jian Wu ◽  
Jiyang Dai ◽  
Cheng He
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicles ◽  
Optimal Path ◽  
Radar System ◽  
Planning Method ◽  
Optimal Path Planning ◽  
Aerial Vehicles ◽  
3D Network ◽  
Planning Scheme ◽  
Estimation Function

For stealth unmanned aerial vehicles (UAVs), path security and search efficiency of penetration paths are the two most important factors in performing missions. This article investigates an optimal penetration path planning method that simultaneously considers the principles of kinematics, the dynamic radar cross-section of stealth UAVs, and the network radar system. By introducing the radar threat estimation function and a 3D bidirectional sector multilayer variable step search strategy into the conventional A-Star algorithm, a modified A-Star algorithm was proposed which aims to satisfy waypoint accuracy and the algorithm searching efficiency. Next, using the proposed penetration path planning method, new waypoints were selected simultaneously which satisfy the attitude angle constraints and rank-K fusion criterion of the radar system. Furthermore, for comparative analysis of different algorithms, the conventional A-Star algorithm, bidirectional multilayer A-Star algorithm, and modified A-Star algorithm were utilized to settle the penetration path problem that UAVs experience under various threat scenarios. Finally, the simulation results indicate that the paths obtained by employing the modified algorithm have optimal path costs and higher safety in a 3D complex network radar environment, which show the effectiveness of the proposed path planning scheme.

Addressing food loss and waste prevention

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Burcu Kör ◽  
Adriana Krawczyk ◽  
Ingrid Wakkee
Keyword(s):  
The Netherlands ◽  
Food Waste ◽  
Household Consumption ◽  
Resource Scarcity ◽  
Advanced Technology ◽  
Waste Prevention ◽  
Structured Interviews ◽  
Content Type ◽  
Food Loss

PurposeFood waste is one of the most challenging issues humanity is currently facing. Therefore, there has been a growing interest in the prevention of food waste because of world hunger, environmental impacts, resource scarcity and economic costs. The purpose of the study is to investigate the factors that influence food waste and the role of technology in tackling food waste in India and the Netherlands.Design/methodology/approachIn order to explore differences in food loss and waste further this study will examine a number of practices on both the production and the consumer side, in a developing country and a developed country with different culture/economic backgrounds: India and the Netherlands. The factors that influence food waste were examined with a preliminary qualitative study, which consists of semi-structured interviews, and quantitative research that comprises a survey. Semi-structured interviews were conducted in both India and the Netherlands, which consists of five interviews. The survey data was collected from 78 individuals from India and 115 individuals from the Netherlands.FindingsOne of the main findings of the research is food waste is divided into waste within agricultural production (i.e. food loss) and final household consumption (i.e. food waste). Different factors influence food loss in different stages in the supply chain. Some of these factors include wastage during processing, storage, transportation and at the market-place. New technologies can utilize food loss for new purposes, so food loss is reduced to the minimum. Food waste is mainly influenced by food passing expiry date, food that is left too long in the fridge and consumers buying too much food. In final household consumption, technologies such as digital platforms enable individuals or organizations to share and donate their food, thereby creating awareness on food waste prevention and the environmental and ethical benefits.Originality/valueThe authors examine to what extent and in which ways supporting consumers to minimize food waste can be achieved via three stages: (1) understanding and evaluating food loss and waste, (2) identifying the factors that influence food loss and waste, (3) understanding consumer behaviors to encourage food waste reduction and (4) identifying the technological impact that would reduce food waste. As such, this paper contributes to ongoing debates about food waste by looking at the role of context and culture and by exploring differences between developed and developing countries. Also, the authors advance the debate by exploring both the role of advanced technology such as blockchain and drones in both preventing loss and waste as well as non-technological mechanisms.

Path Planning Scheme for Collision Avoidance in Unmanned Aerial Vehicle Traffic Management System

2021 ◽  
Author(s):  
Amaanullah ◽  
Muhammed Ahmed Lamba ◽  
Surya Prakash S ◽  
Shrikant S. Tangade ◽  
Syed Sehraab Nawaz ◽  
...  
Keyword(s):  
Path Planning ◽  
Collision Avoidance ◽  
Unmanned Aerial Vehicle ◽  
Traffic Management ◽  
Management System ◽  
Vehicle Traffic ◽  
Planning Scheme ◽  
Aerial Vehicle ◽  
Traffic Management System

Hiring decisions on certified manpower

2018 ◽  
Vol 15 (4) ◽  
pp. 514-535
Author(s):  
Huei-Wen Pao ◽  
Cheng-Yu Lee ◽  
Pi-Hui Chung ◽  
Hsueh-Liang Wu
Keyword(s):  
Service Sector ◽  
Resource Dependence ◽  
Management Practice ◽  
Resource Dependence Theory ◽  
Resource Scarcity ◽  
Institutional Innovation ◽  
Social Contagion ◽  
Service Firms ◽  
Hiring Decisions ◽  
Content Type

Purpose The industry-wide adoption of a novel practice is often considered to be an institutional change. Although research on institutionalization has been accumulating, how and why embedded actors in the field become motivated to embrace change that remains sidelined. Viewing the introduction of a new human resource management practice, the recruitment of non-compulsory certified manpower, which is still in its infancy in the service sector of Taiwan, as a new institution, the purpose of this paper is to identify the distinct motives behind firms’ hiring decisions, and examine the extent to which such hiring decisions are contingent on institutional conditions and firm attributes. Design/methodology/approach The data used to test the hypotheses were drawn from a survey on service firms in Taiwan in the second half of 2011. Hypotheses were examined through moderated hierarchical regression analyses in a sample of 254 Taiwanese service firms across major sectors. Findings Integrating the resource dependency and social contagion views, the study contends that resource scarcity drives, or legitimacy enables, service firms to deviate from traditional hiring patterns and instead adopt new preferences toward certified manpower. The study not only shows that social factors should be incorporated into the diffusion of a new HR recruitment practice in the service sector, which is traditionally based upon economic considerations, but also sheds light on the context-dependent nature of the process of institutional innovation. Originality/value This study is an attempt not only to test a dual-theoretical model on the extent to which a service firm’s new hiring pattern is influenced by two distinct types of motivation, but also to evidence how an institutional innovation, in terms of the regime of service manpower certification, takes root and spreads in the field. The managerially discretional account of the resource dependence theory needs to be reconciled with social contagion theory, which highlights the influence of collective actions and so provides a better understanding of the diffusion of new HR recruitment practices in the service industry.

Development and analysis of DAYANI arc contour intelligent technique for navigation of two-wheeled mobile robot

2018 ◽  
Vol 45 (5) ◽  
pp. 688-702 ◽  
Author(s):  
Dayal R. Parhi ◽  
Animesh Chhotray
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Wheeled Mobile Robot ◽  
Weight Functions ◽  
Feasible Point ◽  
Content Type ◽  
Intelligent Technique ◽  
Planning Algorithm ◽  
Path Planning Algorithm ◽  
Incremental Step

PurposeThis paper aims to generate an obstacle free real time optimal path in a cluttered environment for a two-wheeled mobile robot (TWMR).Design/methodology/approachThis TWMR resembles an inverted pendulum having an intermediate body mounted on a robotic mobile platform with two wheels driven by two DC motors separately. In this article, a novel motion planning strategy named as DAYANI arc contour intelligent technique has been proposed for navigation of the two-wheeled self-balancing robot in a global environment populated by obstacles. The developed new path planning algorithm evaluates the best next feasible point of motion considering five weight functions from an arc contour depending upon five separate navigational parameters.FindingsAuthenticity of the proposed navigational algorithm has been demonstrated by computing the path length and time taken through a series of simulations and experimental verifications and the average percentage of error is found to be about 6%.Practical implicationsThis robot dynamically stabilizes itself with taller configuration, can spin on the spot and rove along through obstacles with smaller footprints. This diversifies its areas of application to both indoor and outdoor environments especially with very narrow spaces, sharp turns and inclined surfaces where its multi-wheel counterparts feel difficult to perform.Originality/valueA new obstacle avoidance and path planning algorithm through incremental step advancement by evaluating the best next feasible point of motion has been established and verified through both experiment and simulation.

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