Improvement Realized Through Digitized Engineering Business Process

Engineering Division provides services & support to Operations and Projects. Division develops deliverable / report / recommendation for various studies, operation issues related to Engineering, root cause analysis, etc. Division receives an average of five request in a week. Division is handling 175+ studies at a time with support of multiple discipline Engineers within division and are in different stages. The division was handling the complete business process manually with dedicated resources to track the review, approval, execution and progress monitor. It was difficult to track all the steps since the information were scattered with many stakeholders and manual entries are not robust / fool proof. The manual control was insufficient to manage document movement, monitoring engineering activities and progress. This paper highlights the methodology used to digitalize the business process and also the improvement / benefit realized.

Soil Movement Monitoring System Based on IoT using Fuzzy Logic

Landslide is one of the disasters that often occurs in several areas in Indonesia, especially in hilly areas, valleys, and volcanoes. Soil conditions in some parts of Indonesia are classified as prone to landslides. The latest data from the Central Statistics Agency related to landslides in 2018 occurred as many as 10,246 events with the highest incidence on the island of Java IoT-based ground motion monitoring using fuzzy logic is a tool that is able to detect ground movements that can trigger landslides. The manufacture of this tool is based on the ig-norance of the community in predicting the occurrence of landslides. To avoid this, an early warning tool is needed in the delivery of information that is easily understood by anyone, especially the public. This tool consists of a Microcontroller, Weather Sensor, Rain Sensor, Ground Movement Sensor, and GSM Shield as well as programs to make it hap-pen. This system was created to provide information to the public directly in land-slide-prone areas. With this early warning system, it is hoped that people who are in landslide-prone loca-tions will know more quickly and can monitor the condition of landslide-prone areas so that they will be more alert to possible dangers that come suddenly, especially fatalities, can be minimized. Through this tool can also be known when the weather is cloudy, raining as well as movement or signs of ground movement, can be monitored and monitored automatically. directly by everyone from mobile phones through "SIPEGERTA" Land Movement System in Wonosalam District, Jombang Regency

Metasurface-based Augmented Reality Headset Equipped with an Eye Movement Monitoring System

In this paper, a metasurface-based waveguide display equipped with an eye movement monitoring system is presented. In the suggested device, the functions of the eye movement system and AR are completely independent of each other and are designed in two separate sections at wavelengths 775 nm and 635 nm respectively. In the next part, in order to investigate the effects of the shape of the waveguide on FOV and efficiency, a multifunctional display system comprise of a single rectangular waveguide with two sensitive polarization channels are designed to operate as an AR and eye movement monitoring system simultaneously at visible and IR wavelengths respectively. In both devices, monitoring eye movements can be done over the range of -24º to 24º and the digital images are displaced in the user’s FOV based on horizontal eye positions. Although the first suggested system is heavier than one, its FOV is almost more than twice of the second system. The results indicate that metasurface-based waveguide technology can be considered as an appropriate platform for developing wearable eye movement systems.

Smart textile device for shooter’s fingers movement monitoring

BACKGROUND: The manner in which shooters pull the trigger may significantly affect the shooter’s results. Shooting coaches are often not able to detect incorrect pull because of gun movement during the shot and recoil. OBJECTIVE: Development of the smart-textile based trigger pull monitoring system and demonstration of its ability to distinguish correct and wrong triggering techniques. METHODS: Two separated knitted resistive pressure sensors were integrated over III and II phalanges in the index finger fingerstall; single sensor was integrated over both III and II phalanges of the middle finger fingerstall. Resistance of the sensors was measured in a course of shots, performed by expert shooter, which simulated typical novice’s trigger pull errors. RESULTS: Sensors’ resistance recordings were made for following erroneous trigger pull motions: pulling of the trigger with index finger’s II phalanx instead of III; fast and jerky trigger pull (trigger tear-off); too fast release of the trigger after shot; and excessive grip force, applied by middle finger. For each type of erroneous movement, recordings waveforms included distinguishable features that characterised a particular type of error. CONCLUSIONS: The developed trigger pull monitoring system provides signals that could be used for recognition of the incorrect trigger pull motions during gun shots.

Liquefaction alarm prototype using arduino uno microcontroller

This study aims to create an alarm tool that can detect disasters such as earthquakes and liquefaction in Palu City. It was laboratory research conducted in Sub department of Physics Education, Tadulako University. Research and experiments with modelling tools were conducted to simulate soil conditions during the earthquake and liquefaction. The research sample was focused on soil samples that have been affected by liquefaction disasters. The method used was the waterfall with the procedures of requirements analysis, system design, implementation, and testing of Arduino programs and software as ground movement monitoring. This study indicated that a liquefaction alarm prototype using a microcontroller component in the form of Arduino Uno, soil moisture sensor, and MPU6050 sensor could detect a natural liquefaction disaster was signed by a siren sound.

NOVEL SOFTWARE IN MATLAB DESIGNED FOR UWB SENSOR-BASED LOCALIZATION OF PEOPLE IN 2D AND 3D SPACE

Detection, localization, and tracking of people in 2D or 3D space using Ultra-wideband (UWB) short-range sensors is a subject of worldwide intensive research. In this paper, we describe a proposal for a novel software called UWB-PerLoc-2D3D. This software has been created in a MATLAB programming environment and designed to process UWB radar signals for the purpose of movement monitoring of human targets in 2D and 3D space. We present an evaluation of the proposed software properties as well as examples of its utilization in practice.

A movement monitoring system for assessing restricted rodents' movements during social interaction tests

Social interactions between rodents is commonly evaluated using setups that enable restricted interactions between two rodents. However, such interactions are most often evaluated only for the animal defined as subject, but not for the social stimuli, which are usually located in a specific compartment. In most cases, behavioral quantification is done using a single video camera that allows visualizing the subject, but not the stimuli. To assess stimuli behavior in such experiments, we constructed a movement-monitoring system, comprising an array of piezoelectric sensors located at the floor of a small triangular chamber to which the social stimulus is allocated. The system and quantification methodology described in the following protocol, together with a camera recorded simultaneously, enabled us to simultaneously evaluate the movements of one or two social stimuli and the subject's investigatory behavior correlated with it.

IoT-Based Patient Movement Monitoring: The Post-Operative Hip Fracture Rehabilitation Model

Hip fracture incidence is life-threatening and has an impact on the person’s physical functionality and their ability to live independently. Proper rehabilitation with a set program can play a significant role in recovering the person’s physical mobility, boosting their quality of life, reducing adverse clinical outcomes, and shortening hospital stays. The Internet of Things (IoT), with advancements in digital health, could be leveraged to enhance the backup intelligence used in the rehabilitation process and provide transparent coordination and information about movement during activities among relevant parties. This paper presents a post-operative hip fracture rehabilitation model that clarifies the involved rehabilitation process, its associated events, and the main physical movements of interest across all stages of care. To support this model, the paper proposes an IoT-enabled movement monitoring system architecture. The architecture reflects the key operational functionalities required to monitor patients in real time and throughout the rehabilitation process. The approach was tested incrementally on ten healthy subjects, particularly for factors relevant to the recognition and tracking of movements of interest. The analysis reflects the significance of personalization and the significance of a one-minute history of data in monitoring the real-time behavior. This paper also looks at the impact of edge computing at the gateway and a wearable sensor edge on system performance. The approach provides a solution for an architecture that balances system performance with remote monitoring functional requirements.

Sports Dance Action Recognition System Oriented to Human Motion Monitoring and Sensing

Because of its high research value, action recognition has become a very popular research direction in recent years. However, the research on the combination of motion recognition technology and dance movements is still in its infancy. At the same time, due to the high complexity of dance movements and the problems of human body self-occlusion when performing dances, research on dance video action recognition has been caused. Progress is relatively slow. This article mainly introduces the research of sports dance action recognition system oriented to human motion monitoring and sensing, fully considers the abovementioned problems, and makes in-depth research and analysis on the current excellent action recognition research content in this field. This paper proposes a research method of sports dance movement recognition for human movement monitoring and sensing, including sports dance movement classification algorithm and sports dance movement preprocessing algorithm, which is used to conduct research experiments on sports dance movement recognition for human movement monitoring and sensing. The experimental results of this article show that the average recognition accuracy of the sports dance action recognition system for human motion monitoring and sensing is 92%, which can be used in daily sports dance training and competition.