scholarly journals Coverage Area of Path Planning Mobility Model for Screening Post-Disaster Area

2021 ◽  
Vol 19 (OCT2021) ◽  
pp. 74-79
Author(s):  
Intan Nabina Azmi ◽  
Yusnani Mohd Yussoff ◽  
Murizah Kassim ◽  
Nooritawati Md Tahir
Keyword(s):  
Path Planning ◽  
Mobility Model ◽  
Coverage Area ◽  
Disaster Area ◽  
Post Disaster

PERMASALAHAN ANAK DALAM PENGUNGSIAN DI NANGGROE ACEH DARUSSALAM

Sosio Informa ◽  
2005 ◽  
Vol 10 (2) ◽  
Author(s):  
Yanuar Farida Wismayanti
Keyword(s):  
Disaster Area ◽  
The World ◽  
Post Disaster

(Children's Problems on the Refuge in Nanggroe Aceh Darussalam) - Restoration of post disaster area is a big agenda to recovery this area and to build life of system. Nature of disaster, earthquakes and tsunamis in Aceh (26/12/1004), this moment has attracted the attention from around the world to help and give support for peoples in disaster area. For that, some of different effort to recovery this area, involving the stakeholder, built a networking, develop and support a soladirity with a humanity of sense. A part of the big agenda of Aceh Recovery, it's very important to give a chance for children to be actor in this agenda, considering with the best for the children principles.

Reliability-Based Mission Planning of Off-Road Autonomous Ground Vehicles Using an Outcrossing Approach

2021 ◽  
Author(s):  
Chen Jiang ◽  
Yixuan Liu ◽  
Zhen Hu ◽  
Zissimos P. Mourelatos ◽  
David Gorsich ◽  
...  
Keyword(s):  
Path Planning ◽  
Optimal Path ◽  
Gaussian Random Field ◽  
Mobility Model ◽  
Outcrossing Rate ◽  
Mission Planning ◽  
Ground Vehicles ◽  
Practical Applications ◽  
Autonomous Ground Vehicles ◽  
Uncertainty Sources

Abstract Reliability-based mission planning aims to identify an optimal path for off-road autonomous ground vehicles (AGVs) under uncertain terrain environment, while satisfying specific mission mobility reliability (MMR) constraints. The evaluation of MMR during path planning poses computational challenges for practical applications. This paper presents an efficient reliability-based mission planning using an outcrossing approach that has the same computational complexity as deterministic mission planning. A Gaussian random field is employed to represent the spatially dependent uncertainty sources in the terrain environment. The latter are then used in conjunction with a vehicle mobility model to generate a stochastic mobility map. Based on the stochastic mobility map, outcrossing rate maps are generated using the outcrossing concept which is widely used in time-dependent reliability. Integration of the outcrossing rate map with a rapidly-exploring random tree (RRT*) algorithm, allows for efficient path planning of AGVs subject to MMR constraints. A reliable RRT* algorithm using the outcrossing approach (RRT*-OC) is developed to implement the proposed efficient reliability-based mission planning. Results of a case study verify the accuracy and efficiency of the proposed algorithm.

scholarly journals SATISFACTION OF RESIDENTS ON THE REDEVELOPMENT OF NATURAL DISASTER AREA. CASE STUDY: KUALA KRAI, KELANTAN, MALAYSIA

2018 ◽  
Vol 16 (7) ◽  
Author(s):  
Oliver Ling Hoon Leh ◽  
Muhammad Shamsul Azdhar Zulkapli ◽  
Kwong Qi Jie ◽  
Nurul Ashikin Mabahwi
Keyword(s):  
Natural Disaster ◽  
East Coast ◽  
Well Being ◽  
Peninsular Malaysia ◽  
The Public ◽  
Disaster Area ◽  
Housing Area ◽  
Post Disaster

Referring to the Malaysian National Security Council, disaster is defined as a catastrophic situation that claimed many lives and caused extensive damage to property and potentially endangers the public peace and security. In Malaysia, there were few natural disaster events that can be said to be among the worst ever in terms of the number of deaths and damages. However, these occurrences were not as severe as overseas. At the end of December 2014, there was a catastrophic flood called as the 'Bah Kuning' was hitting the east coast of Peninsular Malaysia. It resulted in almost 85% of the total Kuala Krai area inundated by flood water. One of the elements in post-disaster recovery is rebuilding shelter for victims. Regardless, it is important to research on residents’ satisfaction as it will affect the well-being directly or indirectly. Thus, a study was carried out to evaluate the satisfaction of residents (victims) on the “New Permanent Houses” (Rumah Kekal Baharu, RKB) that they received from the redevelopment project. A questionnaire survey was carried out to collect and understand respondents’ satisfaction on the redevelopment of their housing area, in specific, the quality of their newly reconstructed houses and the supporting facilities or infrastructure in their area. From the analysis, it was found that majority of the respondents were satisfied with their newly redeveloped houses and the infrastructure. The satisfaction level was associated with the locational and land ownership factors.

scholarly journals Modified A-Star Algorithm for Efficient Coverage Path Planning in Tetris Inspired Self-Reconfigurable Robot with Integrated Laser Sensor

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2585 ◽  
Author(s):  
Anh Le ◽  
Veerajagadheswar Prabakaran ◽  
Vinu Sivanantham ◽  
Rajesh Mohan
Keyword(s):  
Path Planning ◽  
Laser Sensor ◽  
Coverage Area ◽  
Operation System ◽  
Coverage Path Planning ◽  
Cleaning Robot ◽  
Simulated Environment ◽  
Planning Approach ◽  
Reconfigurable Robot ◽  
Set Up

Advancing an efficient coverage path planning in robots set up for application such as cleaning, painting and mining are becoming more crucial. Such drive in the coverage path planning field proposes numerous techniques over the past few decades. However, the proposed approaches were only applied and tested with a fixed morphological robot in which the coverage performance was significantly degraded in a complex environment. To this end, an A-star based zigzag global planner for a novel self-reconfigurable Tetris inspired cleaning robot (hTetro) presented in this paper. Unlike the traditional A-star algorithm, the presented approach can generate waypoints in order to cover the narrow spaces while assuming appropriate morphology of the hTtero robot with the objective of maximizing the coverage area. We validated the efficiency of the proposed planning approach in the Robot Operation System (ROS) Based simulated environment and tested with the hTetro robot in real-time under the controlled scenarios. Our experiments demonstrate the efficiency of the proposed coverage path planning approach resulting in superior area coverage performance in all considered experimental scenarios.

Disaster Relief Management Using Reinforcement Learning-Based Routing

2021 ◽  
Vol 17 (1) ◽  
pp. 24-37
Author(s):  
Gajanan Madhavrao Walunjkar ◽  
Anne Koteswara Rao ◽  
V. Srinivasa Rao
Keyword(s):  
Reinforcement Learning ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Average Energy ◽  
High Mobility ◽  
Adaptive Routing ◽  
Mobility Model ◽  
Delivery Ratio ◽  
Disaster Area ◽  
Disaster Scenario

Effective disaster management is required for the peoples who are trapped in the disaster scenario but unfortunately when disaster situation occurs the infrastructure support is no longer available to the rescue team. Ad hoc networks which are infrastructure-less networks can easily deploy in such situation. In disaster area mobility model, disaster area is divided into different zones such as incident zone, casualty treatment zones, transport areas, hospital zones, etc. Also, in order to tackle high mobility of nodes and frequent failure of links in a network, there is a need of adaptive routing protocol. Reinforcement learning is used to design such adaptive routing protocol which shows good improvement in packet delivery ratio, delay and average energy consumed.

scholarly journals Enhanced Dynamic Spectrum Access in UAV Wireless Networks for Post-Disaster Area Surveillance System: A Multi-Player Multi-Armed Bandit Approach

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7855
Author(s):  
Amr Amrallah ◽  
Ehab Mahmoud Mohamed ◽  
Gia Khanh Tran ◽  
Kei Sakaguchi
Keyword(s):  
Wireless Networks ◽  
Surveillance System ◽  
Dynamic Spectrum Access ◽  
Data Rate ◽  
Dynamic Spectrum ◽  
Transmission Power ◽  
Spectrum Access ◽  
Power Budget ◽  
Disaster Area ◽  
Post Disaster

Modern wireless networks are notorious for being very dense, uncoordinated, and selfish, especially with greedy user needs. This leads to a critical scarcity problem in spectrum resources. The Dynamic Spectrum Access system (DSA) is considered a promising solution for this scarcity problem. With the aid of Unmanned Aerial Vehicles (UAVs), a post-disaster surveillance system is implemented using Cognitive Radio Network (CRN). UAVs are distributed in the disaster area to capture live images of the damaged area and send them to the disaster management center. CRN enables UAVs to utilize a portion of the spectrum of the Electronic Toll Collection (ETC) gates operating in the same area. In this paper, a joint transmission power selection, data-rate maximization, and interference mitigation problem is addressed. Considering all these conflicting parameters, this problem is investigated as a budget-constrained multi-player multi-armed bandit (MAB) problem. The whole process is done in a decentralized manner, where no information is exchanged between UAVs. To achieve this, two power-budget-aware PBA-MAB) algorithms, namely upper confidence bound (PBA-UCB (MAB) algorithm and Thompson sampling (PBA-TS) algorithm, were proposed to realize the selection of the transmission power value efficiently. The proposed PBA-MAB algorithms show outstanding performance over random power value selection in terms of achievable data rate.

scholarly journals ESTABLISHING A TEACHING PRACTICE PROCESS THROUGH TRAIN THE TRAINER PROGRAM IN THE SINABUNG VOLCANO’s EXCLUSION ZONE: A QUALITATIVE CASE STUDY IN MARDINGDING VILLAGE AT THE DISTRICT OF KARO

2019 ◽  
Vol 2 (2) ◽  
pp. 239
Author(s):  
Choms Gary Ganda Tua Sibarani ◽  
Andri Zainal ◽  
Rini Herliani
Keyword(s):  
Data Analysis ◽  
Learning Outcomes ◽  
Teaching Practice ◽  
Positive Influence ◽  
Mapping Method ◽  
Exclusion Zone ◽  
Train The Trainer ◽  
Disaster Area ◽  
Post Disaster

AbstractThis paper discusses the outcomes resulted from efforts in optimizing the implementation of a teaching practice process in a current/post-disaster area. The purpose of this study is to implement the Train-the-Trainer program for local youth as educational agents to pupils in Mardingding Village and in other villages around those affected by the disaster so that the learning spirit of students is maintained. Based on the data analysis using the rapid mapping method with the Rapid Spiral Boehm model, it can be concluded that the implementation and existence of the Train the Trainer program has a positive influence on students' interest in learning activities that are not only focused on activities within the school but also outside the school. The relatively good achievement of learning outcomes after the implementation of the train the trainer program underscores interesting findings in which regions experiencing disasters can still meet learning outcomes with all the inherent limitations of the condition of the affected area. This applied research has limitations, namely focusing on qualitative data analysis so that the interpretation of the findings obtained also has relatively specific implications for the coverage of the Mardingding Village area in the Tiganderket District in Karo District.Keywords: Train the Trainer Program, Teaching Practice Process, Disaster Area, Mardingding Village, Rapid Spiral Boehm.

scholarly journals Disrupting Risk Governance? A Post-Disaster Politics of Inclusion in the Urban Margins

2020 ◽  
Vol 5 (3) ◽  
pp. 274-283 ◽  
Author(s):  
Ricardo Fuentealba ◽  
Hebe Verrest
Keyword(s):  
Urban Studies ◽  
Urban Politics ◽  
Risk Governance ◽  
Disaster Area ◽  
Local Initiatives ◽  
Urban Risk ◽  
Modes Of Governance ◽  
The City ◽  
Post Disaster

Facing climate emergency and disaster risks, cities are developing governing arrangements towards sustainability and resilience. Research is showing the ambivalent results of these arrangements in terms of inclusion and (in)justice, as well as their outcomes in emptying the ‘properly political’ through depoliticised governing techniques. Acknowledging this post-political thesis, however, critical analyses must also engage with re-politicization and focus on disruptive and transformative governance efforts. This article addresses the dual dynamics of de—and re-politicisation, focusing on the interplay of different modes of governing urban risk. We follow the political philosophy of Jacques Rancière and related interpretations in critical urban studies to recover the politics of the city. We focus on a post-disaster area in the foothills of Santiago, Chile. After a 1993 disaster, the State constituted a mode of governing risks based on physicalist interventions that discouraged local conflicts. This techno-managerial policing order made risks invisible while favouring real estate development. However, we show how local initiatives emerge in the interstices of formal and informal arrangements that contest this course. This emerging mode of governing risk, we argue, has the potential to recover incrementally urban politics and disrupt the dominant one through an egalitarian principle on the margins. Our contribution shows that, although these modes of governance coexist and are still evolving, advancing more just and inclusive cities require moving beyond consensus-based governance and focusing on the role of dissent and disruptive politics.

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