Sistem Monitoring Konversi Wifi-RSSI Menjadi Jarak Antar Device dan Router Menggunakan Node-Red Pada Pengembangan Sistem Navigasi Dalam Ruang

A global positioning system (GPS) is often used as a tool for determining direction and positioning. However, GPS is weak in estimating the error, which is quite large at the actual distance, so positioning in a narrow area cannot work well. Therefore, a better method is needed to be used as a narrow-navigation system. This study aimed to determine whether RSSI has a better error than GPS for navigation devices in a narrow space or area. The method used was plotting graphs using Ms. Excel and determining the value of R square. The RSSI value was obtained through the Esp8266 device and then sent to the server via the MQTT protocol and converted using Node-Red on the Raspberry Pi. The comparison results of the Esp8266 device RSSI graph match the Laptop RSSI device as a reference. The match between the relative distance to the RSSI with the actual distance shows a 3.3-33% error. This result is considered much better than the GPS error.

The accuracy of Infrared sensor detection in a smart toilet

Background: Infrared (IR) sensors are useful tools for detecting distance and proximity. However, these sensors are not good at detecting edges of an area, therefore when used in a smart toilet it has difficulty in detecting the orientation and position of the user’s body. The aim of this study was to design an IR sensor for a smart toilet with a more accurate and consistent detection. Methods: A total of 12(six men and six women) participants with different body types were involved in this study. IR sensor detection was tested in the sitting and squatting toilets. For the best accuracy, the IR sensor's angle was measured. Red, blue, and red-blue plastic covers were used, as these colors improve precision. The microcontroller was set up to calculate the participant’s distance and presence in the cubicle. Results: Toilet positioning varied greatly depending on whether one is sitting or squatting. For sitting toilet, the red cover was close to the accurate distance at a 172˚ angle. IR detected a man but not a woman's body. The blue cover provided the same best angle of 172˚ with a higher sensor distance. When the red and blue cover combination was applied, the reading of 141cm detected both men and women, at 172˚ angle. The actual distance for squatting toilets was 158cm. The optimal angle for both red and blue covers was 176˚, however the sensor distance was greater for the blue cover. Finally, the red and blue cover combination gave a more accurate distance of up to 163cm from the actual reading, when detecting both genders at a normal angle of 76˚. Conclusion: The combination of red and blue cover gave the most accurate detection for the squatting and sitting toilets. The best angle for sitting was 172˚, and for squatting was 176˚.

Sistem Pembayaran Elektronik pada Transportasi Angkutan Kota menggunakan Rotary Encoder

AbstrakAngkutan kota (angkot) adalah salah satu transportasi umum yang berada di kota Bandung. Tetapi belum semua warga menggunakannya karena tarif yang diberikan pengemudi tidak sesuai jarak yang ditempuh dan menyebabkan tarif yang beragam. Tujuan dari penelitian ini adalah membuat sistem pembayaran pada angkot serta menentukan tarifnya sesuai jarak yang ditempuh. Penelitian ini memodelkan sistem pembayaran menggunakan RFID, rotary encoder dan arduiono uno. Sistem yang dibuat menghasilkan output berupa tarif sesuai jarak yang ditempuh dengan menghitung jumlah putaran roda yang dihubungkan dengan rotary encoder. Rotary encoder digunakan untuk mengetahui arah putaran roda yang mana dapat menghasilkan output berupa jarak. Hasil dari penelitian ini adalah jarak yang diperoleh dari putaran roda yang di ekuivalensikan dengan jarak sebenarnya, dimana tarif dasar sebesar Rp.2000 akan bertambah Rp.100 setiap bertambah jarak 100 m. Kata kunci: Rotary Encoder, RFID, Transportasi, Arduino ABSTRACT City transportation (angkot) is one of the public transportation located in the city of Bandung. However, not all residents use it because the tariff given by the driver does not match the distance traveled and causes varying rates. The purpose of this research is to create a payment system for public transportation and determine the tariff according to the distance traveled. This study models a payment system using RFID, rotary encoder and Arduiono Uno. The system created produces an output in the form of a rate according to the distance traveled by calculating the number of wheel rotations connected to the rotary encoder. Rotary encoder is used to determine the direction of rotation of the wheel which can produce output in the form of distance. The result of this research is the distance obtained from the rotation of the wheel which is equivalent to the actual distance, where the basic fare of Rp. 2000 will increase by Rp. 100 for every 100 m increase in distance.Keywords: Rotary Encoder, RFID, Transportation, Arduino

Social Distancing Detection using Deep Learning

The continuous COVID-19 Covid episode has caused a worldwide calamity with its dangerous spreading. due to the shortfall of successful healing specialists and therefore the lack of vaccinations against the infection, populace weakness increments. within the current circumstance, as there aren't any antibodies accessible; hence, social removing is believed to be a sufficient precautionary measure (standard) against the spread of the pandemic infection. the risks of infection spread may be limited by keeping aloof from actual contact among individuals. the rationale for this work is, thusly, to administer a profound learning stage to social distance is additionally executed to create the exactness of the model. Thusly, the popularity calculation utilizes a pre-prepared calculation that's related to an additional prepared the distinguished jumping box centroid's pairwise distances of people are resolved. To appraise social distance infringement between individuals, we utilized an estimation of actual distance to pixel and set a grip. An infringement limit is ready up to assess whether the space esteem breaks the bottom social distance edge. Analyses are done on various video arrangements to check the proficiency of the model. Discoveries show that the created system effectively recognizes folks that walk excessively close and penetrates/abuses social seperation; also, the trade collecting approach upholds the general efficiency of the model. The precision of 91% and 96% achieved by the acknowledgment model without and with move learning, independently. The accompanying precision of the model is 94%

Role of stereopsis losses in older adults’ performance on the fine-grain movement illusion task

Accurate motion perception is necessary for older adults to safely navigate their environments. Yet it is not clear how stereopsis losses contribute to findings of motion perception deficits in older adults. To assess the contribution of stereopsis losses, three groups (younger adults, older adults with intact stereopsis, older adults with poor stereopsis) were recruited for a fine-grain movement task. The distance participants perceived a dot to move across a computer screen was assessed using a staircase procedure. While all participants perceived the dot to move further than the actual distance, older adults with poor stereopsis showed more exaggeration in their estimates than younger adults and older adults with intact stereopsis. However, the groups did not differ in the intraindividual variability of their estimates. These results suggest stereopsis losses in the context of aging may signal neural or oculomotor changes that result in reduced accuracy of positional perception.

Role of stereopsis losses in older adults’ performance on the fine-grain movement illusion task

Accurate motion perception is necessary for older adults to safely navigate their environments. Yet it is not clear how stereopsis losses contribute to findings of motion perception deficits in older adults. To assess the contribution of stereopsis losses, three groups (younger adults, older adults with intact stereopsis, older adults with poor stereopsis) were recruited for a fine-grain movement task. The distance participants perceived a dot to move across a computer screen was assessed using a staircase procedure. While all participants perceived the dot to move further than the actual distance, older adults with poor stereopsis showed more exaggeration in their estimates than younger adults and older adults with intact stereopsis. However, the groups did not differ in the intraindividual variability of their estimates. These results suggest stereopsis losses in the context of aging may signal neural or oculomotor changes that result in reduced accuracy of positional perception.

An Efficient Trajectory representative generation moving data prediction using different Clustering algorithm

This paper highlighted Moving and Trajectory Object Cluster (MOTRACLUS) algorithm and analysis the sub-trajectories and real-trajectories algorithm for moving data and suggest a new approach of moving elements. This paper evaluates the Hurricane data measure and mass less data measure entropy of trajectories objects of moving data of Chhattisgarh location. The paper covered Prediction Generation with their distance cluster minimum description length (MDL) algorithm and others corresponding distance cluster (CLSTR) algorithm. This paper highlighted the k-nearest algorithm with least cluster section (LCSS) model and dimensional Euclidean of MDL algorithm. Our algorithm consists of two parts that is partitioning and grouping phase. This paper develops and enhances a cluster of trajectory object and calculates the actual distance of moving object. This algorithm works on the CLSTR algorithm and calculates Trajectory movement of object. In this we evaluate the entropy of moving object by consideration the heuristic parameter.

Augmented Reality Application using Dynamic Location-Based Tracking of Taman Ayun Temple

Taman Ayun Temple is a world cultural heritage in Bali. Based on observations, information regarding the location at Taman Ayun Temple is still not optimal. This study aims to design an application that displays location information using markerless augmented reality. Markerless AR is a technology that displays virtual objects into the real world using GPS, digital compass, and accelerometer. The application is designed using the Wikitude SDK platform and displays information on location, description, image, distance from the user, and location direction. Data is stored in a database server and managed using the web server. Applications are in Indonesian and English. The testing compares the actual distance with the distance displayed in the application using devices with different OS and RAM. Application speed is less than 1 second depending on RAM and internet speed, while location accuracy depends on smartphone GPS accuracy with a difference of less than 10 meters from the actual distance.

Validity of Bench Test Method for Infrared Flame Detector

In this study, the validity of an indoor bench test to replace and overcome the limitations of the real-range test, an infrared flame detector sensitivity test, was analyzed. A micro burner (diameter 6 mm) was used to substitute for the infrared flame detector. In order to measure the amount of light by distance, the voltage at the output end of the IR sensor was acquired. In addition, normal heptane (n-heptane) was used as a fuel for the actual distance experiment, and the amount of light at each distance was measured using an IR sensor. A bench tester was developed to measure the light output characteristics of infrared flame detectors by distance inside, and the actual distance optical characteristics from outside were measured and compared. As a result, both methods were able to confirm the same optical characteristics by distance. This study confirmed the validity of the bench test method conducted inside, which can replace the experiment at the actual distance conducted to confirm the performance of the infrared flame detector. If this test method is used in the future, it is believed the flame detector will improve product quality and development.

Virtual straightening of scraper conveyor based on the position and attitude solution of industrial robot model

The movement of the floating connecting mechanism between a hydraulic support and scraper conveyor is space movement; thus, when the hydraulic support pushes the scraper conveyor, there is an error between the actual distance of the scraper conveyor and the theoretical moving distance. As a result, the scraper conveyor cannot obtain the straightness requirement. Therefore, the movement law of the floating connecting mechanism between the hydraulic support and scraper conveyor is analyzed and programmed into the Unity3D to realize accurate pushing of the scraper conveyor via hydraulic support. The Coal Seam + Equipment Joint Virtual Straightening System is established, and a straightening method based on the motion law of a floating connection is proposed as the default method of the system. In addition, a straightening simulation of the scraper conveyor was performed on a complex coal seam floor, the results demonstrate that the average straightening error of the scraper conveyor is within 2–8 mm, and is in direct proportion to the fluctuation of the coal seam floor in the strike of the seam with high accuracy, the straightness of scraper conveyor is more affected by the subsidence terrain during straightening than by the bulge terrain. And some conclusions are verified by experiment. Based on the verification of the relevant conclusions, a comparison and analysis of Longwall Automation Steering Committee (LASC) straightening technology and default straightening method in the simulation system shows that the straightness accuracy of LASC straightening technology under complex floor conditions is slightly less than that of the default straightening method in the proposed system.