Application of UAV and CSPI Matrix for Roof Inspection at Dewan Sultan Ibrahim and Dewan Tunku Mahkota Ismail UTHM

Kaamin, Masiri; Hamid, Nor Baizura; Abdullah, Noorul Hudai; Mokhtar, M.; Razali, Siti Nooraiin Mohd; Bakar, Muhammad Naim Abu; Zahri, Mohamad Ridhwan; Zaidi, Nur Thaqifah Aina Mohd

doi:10.37934/araset.28.1.106115

Cited by 3 publications

(3 citation statements)

References 8 publications

(12 reference statements)

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“…The simplest inspection is a visual inspection. Hamid et al, [2] examined the roof of the building using the Unmanned Aerial Vehicle (UAV). With this drone, some roof defects can be detected.…”

Section: Introductionmentioning

confidence: 99%

Application of the Conjugate Gradient Method for Predicting Unknown Heat Flux in 2D Plat under Effect of Insulation

Ari Satmoko,

Engkos Achmad Kosasih,

Muhammad Irfan Dzaky

et al. 2023

ARFMTS

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When an anomaly is discovered during a thermal inspection of industrial equipment, the diagnosis of finding the heat source is made more difficult by the presence of heat insulation. The use of the Conjugate Gradient Method (CGM) to solve the unknown heat flux in Inverse Heat Conduction Problem (IHCP) under insulation condition has been discussed. This method is used to predict a heat flux by utilizing temperature data at any points of measurement. The study deals with the structure of 2D thin plate at steady state. A copper plate with a thickness of 1 mm is used as specimen. White glass wool is used to thermally insulate the plate on the back surface. An electrical heater is plate mounted and operated by varying the DC voltage. A datalogger with thermocouple sensors records plate temperature changes. Software for solving the IHCP based on the CGM was developed. Initially, the software was implemented using synthetic data obtained from the forward heat conduction equations with a known heat flux. Simulated measurement data are assumed to have high accuracy (± 0.1 ºC). Determination of heat flux with the CGM gives very satisfactory results with a low error below 0.12%. The CGM was then applied using experimental data. With a measurement error of ± 0.5 ºC, the computational stopping criterion can still be met satisfactorily. In real installations, equipment is sometimes partially or completely isolated. In the experiment, this phenomenon is simulated by varying the isolation area as follows: 0%, 25%, 50% and 100%. The results of the flux calculation are correlated with the real flux supplied by the electrical heater. Each type of insulation area has a similar curve. By obtaining the correlation equation, the equivalent heat flux from calculation to real and vice versa can be carried out.

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Section: Introductionmentioning

confidence: 99%

Application of the Conjugate Gradient Method for Predicting Unknown Heat Flux in 2D Plat under Effect of Insulation

Ari Satmoko,

Engkos Achmad Kosasih,

Muhammad Irfan Dzaky

et al. 2023

ARFMTS

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“…A group of agents in this study is associated with a UAV team and the task is associated with the agricultural tasks that need to be completed. However, different from Lu et al, [10], the capabilities of the agents are modified based on the possible UAV capabilities in solving some real agricultural-related tasks [14][15][16][17]. To improve the performance of the algorithm in Lu et al, [10] for solving task allocation problem in agriculture, the efficiency factor is also modified.…”

Section: Introductionmentioning

confidence: 99%

Modification of the Ant Colony Optimization Algorithm for Solving Multi-Agent Task Allocation Problem in Agricultural Application

Medria Kusuma Dewi Hardhienata,

Karlisa Priandana,

Daffa Rangga Putra

et al. 2023

ARASET

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This paper considers the problem of task allocation where the goal is to find a coalition of UAVs (agents) to complete on-farm agricultural tasks. In this study, Ant Colony Optimization (ACO) algorithm is employed to find the best coalition of agents. The performance of the basic ACO algorithm for solving task allocation is improved by modifying the efficiency factor. In the proposed algorithm, the efficiency factor is defined as a function that relates not only to the capability of the agents and the distance between the agents, but also to the distance between the agents and the target. To solve the task allocation problem, the capability list of the agents was also adjusted using common UAV capabilities in agricultural application. Simulation results showed that the proposed ACO algorithm with the modified efficiency factor improved the performance of basic ACO algorithm for solving task allocation problem in terms of the average total travel cost for each agent. The optimum number of ants and agents in the proposed algorithm was also analysed for robust performance. Simulation results revealed that the addition of the numbers of agents and ants increases the average efficiency of the algorithm. In this study, we have also added a function to calculate the system capability utilization. By employing such a function, simulation results show that the total resource used by the agents and total communication cost can be optimized. In addition, a simple experiment using five ground robots with a centralized control was also carried out as a proof of concept for the proposed algorithm.

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“…Furthermore, the demand of technologies and approach for research is now relatively high as the technologies tend to develop rapidly. As an example, Kaamin et al, [6], demonstrated the utilization of UAVs for roof inspection, and the research conducted by Zaman et al, [7], employed UAVs and YOLOv5 for human detection in search and rescue operations, exemplify the increasing adoption of innovative solutions and technologies in various fields, highlighting the continuous development and integration of UAVs for diverse applications. Another study by Mokhtar et al, [8] and Siddiq et al, [9] demonstrate the ongoing research efforts in utilizing UAV photogrammetry to assess and understand coastal erosion phenomena.…”

Section: Introductionmentioning

confidence: 99%

Evaluation Coastal Volume Changes with UAV Photogrammetry: An Example in West Coast Malaysia

Mardiha Mokhtar,

Mohd Effendi Daud,

Masiri Kaamin

et al. 2023

ARASET

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Variations of beach volume changes have been put into place at the coastline to measure the changes in volume and analyse beach response using geometric and volumetric comparison of beach profile sets. This study examined the volume change of a beach in an eroded location in Batu Pahat. As Pantai Punggur was identified as an eroding area, it was chosen as the research area where identifying changes to the beach's volume is necessary to evaluate changes to the condition of the beach. There is a rather strong demand for both technologies and research methods since technology tends to advance quickly. Therefore, in order to satisfy demand, the process of identifying the volumetric of the shoreline area was carried out using an unmanned aerial vehicle with the assistance of Pix4D Mapper and Global Mapper as a medium to study the changes in beach volume. Pix4D Mapper was used to process the beach volume changes and to analyze the aerial image, while the Global Mapper software conducted an analysis of beach volume changes. This study demonstrates that there is a noticeable shift in the volume of the beach within a month. Overall, the data provided demonstrates that Zones A and E are more vulnerable to erosion than the other zones.

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Application of UAV and CSPI Matrix for Roof Inspection at Dewan Sultan Ibrahim and Dewan Tunku Mahkota Ismail UTHM

Cited by 3 publications

References 8 publications

Application of the Conjugate Gradient Method for Predicting Unknown Heat Flux in 2D Plat under Effect of Insulation

Application of the Conjugate Gradient Method for Predicting Unknown Heat Flux in 2D Plat under Effect of Insulation

Modification of the Ant Colony Optimization Algorithm for Solving Multi-Agent Task Allocation Problem in Agricultural Application

Evaluation Coastal Volume Changes with UAV Photogrammetry: An Example in West Coast Malaysia

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