Focusing on the task of point-to-point navigation for an autonomous driving vehicle, we propose a novel deep learning model trained with end-to-end and multi-task manners to perform both perception control tasks simultaneously. The is used drive ego vehicle safely by following sequence routes defined global planner. part encode high-dimensional observation data provided RGBD camera while performing semantic segmentation, depth cloud (SDC) mapping, traffic light state stop sign prediction....

We present a novel compact deep multi-task learning model to handle various autonomous driving perception tasks in one forward pass. The performs multiple views of semantic segmentation, depth estimation, light detection and ranging (LiDAR) bird's eye view projection simultaneously without being supported by other models. also provide an adaptive loss weighting algorithm tackle the imbalanced issue that occurred due plenty given tasks. Through data pre-processing intermediate sensor fusion...

Deploying SHA-3 on FPGA devices requires significant resource allocation; however, the resulting throughput still needs improvement. This study employs DSP48 module Xilinx to address this issue and implements an eight-stage pipeline methodology minimize latency. The implementation design comprises a datapath controller module, utilizing Artix-7-100T series as hardware. method makes use of resources like Look-Up Tables (LUT), Table Random Access Memory (LUTRAM), Flip-Flops (FF), Block RAM...

recall, f-measure, dan area

Dissolved oxygen is the one of most defining parameters on indoor shrimp cultivation. This parameter states amount that dissolved in water which needed to support growth. needs be maintained because it affects survive rate shrimp. Therefore, a control system need applied maintain this at acceptable value for an step must taken order overcome death problem due lack oxygen. According stability needs, developed based fuzzy logic controller robustness against pond environment. The implemented...

Maintaining the water quality of a pond is one main issues on aquaculture management. Water represents condition based several parameters such as dissolved oxygen (DO), temperature, pH, and salinity. All these need to be strictly supervised since it affects life-sustainability cultivated organisms. However, DO said parameter growth survival rate shrimp. Therefore, control monitoring system needed maintain at acceptable value. The developed mini-PC microcontroller which are integrated with...

Semboro Sugar Factory build a new steam power plant to meet their electricity needs. However, the turbine as main part of need be supervised everytime ensure that run in its normal condition. In order prevent any damage on turbine, an automation system is developed and assigned all safety auxiliary equipment effectively. A procedural-steps are also taken standard operation. this paper, design implementation will explained. The capable protecting supervising According robustness against...

We propose DeepIPC, an end-to-end autonomous driving model that handles both perception and control tasks in a vehicle. The consists of two main parts, controller modules. module takes RGBD image to perform semantic segmentation bird’s eye view (BEV) mapping along with providing their encoded features. Meanwhile, the processes these features measurement GNSS locations angular speed estimate waypoints come latent Then, different agents are used translate into set navigational controls drive...

In this work, we introduce DeepIPC, a novel end-to-end model tailored for autonomous driving, which seamlessly integrates perception and control tasks.Unlike traditional models that handle these tasks separately, DeepIPC innovatively combines module, processes RGBD images semantic segmentation generates bird's eye view (BEV) mappings, with controller module utilizes insights along GNSS angular speed measurements to accurately predict navigational waypoints.This integration allows efficiently...

This research highlights the rapid development of technology in industry, particularly Industry 4.0, supported by fundamental technologies such as Internet Things (IoT), cloud computing, big data, and data analysis. Despite providing efficiency, these developments also bring negative impacts, increased cyber-attacks, especially manufacturing. One standard attack industry is man-in-the-middle (MITM) attack, which can have severe consequences for physical transfer, on integrity sensor actuator...

The rapid growth of industrial technology, driven by automation, IoT, and cloud computing, has also increased the risk cyberattacks, such as Man-in-the-Middle (MITM) attacks. A standard solution to protect data is using a Hardware Security Module (HSM), but its high implementation cost led development more affordable alternative: SoftHSM. This software-based module manages encryption decryption keys cryptographic algorithms. study simulates use SoftHSM on single-board computer (SBC) enhance...

Stunting detection is a significant issue in Indonesian healthcare, causing lower cognitive function, productivity, weakened immunity, delayed neuro-development, and degenerative diseases. In regions with high prevalence of stunting limited welfare resources, identifying children need treatment critical. The diagnostic process often raises challenges, such as the lack experience medical workers, incompatible anthropometric equipment, inefficient bureaucracy. To counteract issues, use load...

In the world of aquaculture, understanding condition a pond is very important for farmer in deciding which action should they take to prevent any bad occurred. Condition can be justified by measuring plenty water parameters divided into 3 categories that are physical, chemical and biological. The physical parameter quantity measured pond. kind substances dissolved water. biological organic matter lives However, all these not so distinguishable representing Therefore, experience difficulties...

The balance of the aquatic ecosystem is an influential factor in world aquaculture, especially shrimp cultivation.The one that plays a role microorganisms such as vibrio, bacteria, and algae.Therefore, farmers need to know their number ratio maintain growth.Thus, this research, models can estimate vibrio-bacteria algae are developed.These formed from aquaculture datasets which modeled using machine learning algorithms named Gaussian process regressor (GPR) gradient tree boosting (GTB).Other...

We present DeepIPCv2, an autonomous driving model that perceives the environment using a LiDAR sensor for more robust drivability, especially when under poor illumination conditions where everything is not clearly visible. DeepIPCv2 takes set of point clouds as main perception input. Since are affected by changes, they can provide clear observation surroundings no matter what condition is. This results in better scene understanding and stable features provided module to support controller...

In this work, we introduce DeepIPC, a novel end-to-end model tailored for autonomous driving, which seamlessly integrates perception and control tasks. Unlike traditional models that handle these tasks separately, DeepIPC innovatively combines module, processes RGBD images semantic segmentation generates bird's eye view (BEV) mappings, with controller module utilizes insights along GNSS angular speed measurements to accurately predict navigational waypoints. This integration allows...