Increasing aquaculture cultivation produces large quantities of wastewater. If not handled properly, it can have negative impacts on the environment. Constructed wetlands (CWs) are one of the phytoremediation methods ...
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We propose a visible light communication system using a commercial camera that achieves communication and positioning simultaneously, which is essential for intelligent transport systems (ITS). The transmitter (Tx) em...
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The aim of this research was to study the mechanical properties (compressive strength and splitting-tensile strength) of fly ash-based geopolymer concrete using variation in the maximum size of coarse aggregate. The m...
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Used cooking oil is the largest waste that can be converted into biofuel as a renewable alternative energy source with catalytic cracking process. In this study, used cooking oil was cracked using a Cr-Carbon catalyst...
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A study was done on treatment of raw water sources for drinking water using chitosan/Mg-Al LDH (CS/Mg/Al-LDH) composites by adsorption process. An analysis on the adsorbent characterizations of FTIR, SEM and XRF showe...
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This article reports the findings of one pretest-posttest design experiment with the control group and with GeoGebra software learning application to examine the mathematical understanding abilities and responses of s...
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Our research aims to determine the results of student responses after applying VLAB-based STEM learning in the direct current electric circuit section. This study uses a qualitative method. Sampling using a purposive ...
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This research explores the use of a modified infrared (IR) camera equipped with a high-pass filter to distinguish between natural objects (vegetation) and artificial objects (synthetic military uniforms) in an environ...
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ISBN:
(数字)9798331510077
ISBN:
(纸本)9798331510084
This research explores the use of a modified infrared (IR) camera equipped with a high-pass filter to distinguish between natural objects (vegetation) and artificial objects (synthetic military uniforms) in an environment where vegetation makes objects difficult to detect. In military operations, especially guerrilla warfare in tropical forests, detecting enemies camouflaged in vegetation makes it difficult to distinguish targeted objects. Visible light cameras usually struggle to distinguish between synthetic and natural colors. This methodology involves the use of Python programming and various libraries, such as Computer Vision (CV), to process images captured by modified cameras. A graphical user interface (GUI) was developed to analyze color values, focusing on the red, green, and blue spectra. The results show that the modified IR camera can more effectively separate synthetic and natural object color peaks compared to a standard visible light camera, offering potential applications in military reconnaissance and sniper operations. This research demonstrates how image processing can improve object detection in complex environments.
The studies of bioethanol production are being intensively explored over the past years in the provision of biofuel. This has been long recognized as the best alternative for a renewable energy resource to overcome th...
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The continued role of the green management supply chain has become a parameter of the company’s sustainability. The role that is realized is to provide effectiveness in terms of reducing risks arising from the supply...
The continued role of the green management supply chain has become a parameter of the company’s sustainability. The role that is realized is to provide effectiveness in terms of reducing risks arising from the supply chain. Risks that arise deserve to be identified by the achievement of reducing supply chain risks that occur. The purpose of this study is to model the risks of green supply chain management using the house of risk method. This method as an integration of FMEA-QFD. The product used as a case is snail chips from PT. QRP. Due to the ineffective supply chain, various risks arise where this risk in addition to harming the company also harms the snail material supply vendors. Identification of risks by occurrence and risk agents totaling 22 types. The findings serve as a basis for constructing potential risks modeled with a causal diagram. It was found that the highest case parameter was that there was poor communication with long responses, one of which was. As a result of this case, the prevention action indicator can be clearly known with consideration of 6M (man, machine, material, measurement, method and mother nature). That the preventive action relationship with 6M can create a green supply chain design according to existing conditions. The virtues of the design formed are considering 6M supported by the role of ISO.
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