scholarly journals Sistem Keseimbangan Robot ERISA Pada Bidang Miring Menggunakan Kontrol PD dan Sensor Fusion

2021 ◽  
Vol 17 (3) ◽  
Author(s):  
Novian Fajar Satria ◽  
Ali Husein Alasiry ◽  
Bambang Sumantri ◽  
Risma Dian Alamri
Keyword(s):  
Sensor Fusion ◽  
Detection System ◽  
Humanoid Robots ◽  
Position Angle ◽  
Daily Activities ◽  
Fusion Method ◽  
Sensor Output ◽  
Maximum Slope ◽  
Complementary Filter ◽  
The World

The world of robotics is currently developing; many robots are created to help humans work in carrying out daily activities. Various types of robots have been created, one of which is a type of robot that resembles a human body (humanoid). Humanoid robots are developing in many countries, including Indonesia. In its development, the walking technique is a major factor in making humanoid robots. Humanoid robots have the ability to walk like humans by balancing their body positions while walking, so they don’t fall. In maintaining this balance, a tilt detection system for the robot’s position and a balancing system is needed when the robot is about to fall. So, to overcome this problem, implementation is carried out using the sensor fusion method at the output of the sensors that are used to minimize noise or interference with the sensor output value. The accuracy of the sensor output value on the position angle tilt detector can help the robot provide a balancing act. By implementing a PD control system and sensor fusion consisting of a Kalman filter and a complementary filter, the robot was successfully carried up and down the plane to a maximum slope of 12 °.

HIPEREMESIS GRAVIDARUM PADA IBU HAMIL DI KLINIK BIDAN SUPRIYATI SRIBIT BERBAH SLEMAN

2019 ◽  
Vol 14 (1) ◽  
pp. 51
Author(s):  
Pramukti Dian Setianingrum ◽  
Farah Irmania Tsani
Keyword(s):  
Blood Pressure ◽  
Pregnant Women ◽  
Hyperemesis Gravidarum ◽  
Unwanted Pregnancy ◽  
The Body ◽  
Nausea And Vomiting ◽  
Daily Activities ◽  
World Health ◽  
The World

Backgroud: The World Health Organization (WHO) explained that the number of Hyperemesis Gravidarum cases reached 12.5% of the total number of pregnancies in the world and the results of the Demographic Survey conducted in 2007, stated that 26% of women with live births experienced complications. The results of the observations conducted at the Midwife Supriyati Clinic found that pregnant women with hyperemesis gravidarum, with a comparison of 10 pregnant women who examined their contents there were about 4 pregnant women who complained of excessive nausea and vomiting. Objective: to determine the hyperemesis Gravidarum of pregnant mother in clinic. Methods: This study used Qualitative research methods by using a case study approach (Case Study.) Result: The description of excessive nausea of vomiting in women with Hipermemsis Gravidarum is continuous nausea and vomiting more than 10 times in one day, no appetite or vomiting when fed, the body feels weak, blood pressure decreases until the body weight decreases and interferes with daily activities days The factors that influence the occurrence of Hyperemesis Gravidarum are Hormonal, Diet, Unwanted Pregnancy, and psychology, primigravida does not affect the occurrence of Hyperemesis Gravidarum. Conclusion: Mothers who experience Hyperemesis Gravidarum feel nausea vomiting continuously more than 10 times in one day, no appetite or vomiting when fed, the body feels weak, blood pressure decreases until the weight decreases and interferes with daily activities, it is because there are several factors, namely, hormonal actors, diet, unwanted pregnancy, and psychology.

MAGIC-I as Assistance for the Visually Impaired People

2020 ◽  
Vol 13 ◽  
Author(s):  
Kavita Pandey ◽  
Dhiraj Pandey ◽  
Vatsalya Yadav ◽  
Shriya Vikhram
Keyword(s):  
Visually Impaired ◽  
Smart Phone ◽  
Emergency Situation ◽  
Daily Activities ◽  
Daily Life Activities ◽  
Best Friends ◽  
Visually Impaired People ◽  
The World ◽  
Impaired People ◽  
Impaired User

Background: According to the WHO report, around 4.07% of the world's population is visually impaired. About 90% of the visually impaired users live in the lower economic strata. In the fast moving technology, most of the invention misses the need of these people. Mainly the technologies were designed for mainstream people; visually impaired people always find an inability to access it. This inability arises primarily for reasons such as cost, for example, Perkins Brailler costs 80-248 dollars for the simple purpose of Braille input. Another major reason is the hassle of carrying the big equipment. Objective: Keeping all this in mind and making technology as their best friends, MAGIC-1 has been designed. The goal is to provide a solution in terms of an application, which helps the visually impaired user in their daily life activities. Method: The proposed solution assists visually impaired users through smart phone technology. If visually impaired users ever wished to have a touched guide into a smart phone, MAGIC-1 has the solution that consolidates all the important features in their daily activities. Results: The performance of the solution as a whole and its individual features in terms of usability, utility and other metrics, etc. has been tested with sample visually impaired users. Moreover, their performances in term of Errors per Word and Words per Minute have been observed. Conclusion: MAGIC-I, the proposed solution works as an assistant of visually impaired users to overcome their daily struggles and stay more connected to the world. A visually impaired user can communicate via their mobile devices with features like eyes free texting using braille, voice calling etc. They can easily take help in an emergency situation with the options of SOS emergency calling and video assistance.

scholarly journals Displacement Estimation Based on Optical and Inertial Sensor Fusion

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1390
Author(s):  
Tomasz Ursel ◽  
Michał Olinski
Keyword(s):  
Sensor Fusion ◽  
Inertial Sensor ◽  
External Disturbance ◽  
Linear Displacement ◽  
Measuring System ◽  
Displacement Estimation ◽  
Mems Accelerometer ◽  
Pedestrian Navigation ◽  
Complementary Filter ◽  
Optical Flow Sensor

This article aims to develop a system capable of estimating the displacement of a moving object with the usage of a relatively cheap and easy to apply sensors. There is a growing need for such systems, not only for robots, but also, for instance, pedestrian navigation. In this paper, the theory for this idea, including data postprocessing algorithms for a MEMS accelerometer and an optical flow sensor (OFS), as well as the developed complementary filter applied for sensor fusion, are presented. In addition, a vital part of the accelerometer’s algorithm, the zero velocity states detection, is implemented. It is based on analysis of the acceleration’s signal and further application of acceleration symmetrization, greatly improving the obtained displacement. A test stand with a linear guide and motor enabling imposing a specified linear motion is built. The results of both sensors’ testing suggest that the displacement estimated by each of them is highly correct. Fusion of the sensors’ data gives even better outcomes, especially in cases with external disturbance of OFS. The comparative evaluation of estimated linear displacements, in each case related to encoder data, confirms the algorithms’ operation correctness and proves the chosen sensors’ usefulness in the development of a linear displacement measuring system.

scholarly journals Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rohit Kundu ◽  
Hritam Basak ◽  
Pawan Kumar Singh ◽  
Ali Ahmadian ◽  
Massimiliano Ferrara ◽  
...  
Keyword(s):  
Ct Scan ◽  
Detection System ◽  
Network Models ◽  
Test Cases ◽  
Gompertz Function ◽  
Neural Network Models ◽  
Source Codes ◽  
Ensemble Strategy ◽  
The World ◽  
Long Time

AbstractCOVID-19 has crippled the world’s healthcare systems, setting back the economy and taking the lives of several people. Although potential vaccines are being tested and supplied around the world, it will take a long time to reach every human being, more so with new variants of the virus emerging, enforcing a lockdown-like situation on parts of the world. Thus, there is a dire need for early and accurate detection of COVID-19 to prevent the spread of the disease, even more. The current gold-standard RT-PCR test is only 71% sensitive and is a laborious test to perform, leading to the incapability of conducting the population-wide screening. To this end, in this paper, we propose an automated COVID-19 detection system that uses CT-scan images of the lungs for classifying the same into COVID and Non-COVID cases. The proposed method applies an ensemble strategy that generates fuzzy ranks of the base classification models using the Gompertz function and fuses the decision scores of the base models adaptively to make the final predictions on the test cases. Three transfer learning-based convolutional neural network models are used, namely VGG-11, Wide ResNet-50-2, and Inception v3, to generate the decision scores to be fused by the proposed ensemble model. The framework has been evaluated on two publicly available chest CT scan datasets achieving state-of-the-art performance, justifying the reliability of the model. The relevant source codes related to the present work is available in: GitHub.

Remembering the Footsteps of Five Distinguished Ophthalmologists from the present in the era of the COVID-19 Pandemic

2021 ◽  
Vol 6 (6) ◽  
Keyword(s):  
Kawasaki Disease ◽  
Medical Care ◽  
Takayasu’S Arteritis ◽  
Daily Activities ◽  
Experimental Medicine ◽  
First Person ◽  
The World ◽  
Eyes Open ◽  
Pollen Exposure ◽  
Scientific Facts

We have reported that 40 specific intractable diseases and 24 types of cancer and malignancies as well as Kawasaki disease may be triggered by pollen in our previous papers.Further, we reported in 2021 two articles regarding relation of outbreak of Influenza and COVID-19, and pollen exposure. In this paper, five distinguished ophthalmologists will be considered and described. Mikito Takayasu was the first person to report the discovery of Takayasu's arteritis, one of the vasculitis syndromes, which may be a pollen-induced disease as well as Kawasaki disease. Next, Einosuke Harada, Alfred Vogt and Yoshizo Koyanagi are considered and described as the reporters of Vogt-Koyanagi-Harada disease. The fifth ophthalmologist is Li Wenliang who was the first person in the world to report the outbreak of SARS-COV-2 infection. Many people are still unaware of the fact that exposure to pollen can lead to many diseases. The author hopes that those who are involved in medical care will consider the scientific facts, keep their eyes open, and use this knowledge in their daily activities, although clear proof in experimental medicine is craved.

scholarly journals EDUKASI PENTINGNYA MENCUCI TANGAN DENGAN SABUN DI ERA NEW NORMAL

2021 ◽  
Vol 5 (1) ◽  
pp. 1004
Author(s):  
Melati Permata Hati ◽  
Baiq Lenysia Puspita Anjani ◽  
Nadya Silva Rosa ◽  
Yuli Fitriani ◽  
Dzun Haryadi Ittiqo ◽  
...  
Keyword(s):  
Hand Hygiene ◽  
Daily Activities ◽  
New Normal ◽  
New Era ◽  
The World ◽  
Handwashing With Soap

ABSTRAKTangan merupakan bagian tubuh yang paling sering bersentuhan dengan permukaan obyek di sekitar kegiatan manusia, yang tentunya akan sangat rentan sebagai pembawa kuman dan pathogen termasuk virus covid-19 yang saat ini menjadi musuh terbesar dunia. Untuk mendukung kegiatan sosial manusia, mencuci tangan dengan sabun merupakan salah satu langkah sanitasi yang dianjurkan di era new normal ini untuk mencegah penyebaran dan penularan covid-19. Sehingga, sabun cuci tangan dapat dikategorikan sebagai kebutuhan pokok. Bertepatan dengan memperingati “Hari Cuci Tangan Sedunia”, maka kegiatan pengabdian ini meliputi edukasi untuk meningkatkan pemahaman dan kesadaran masyarakat mengenai pentingnya mencuci tangan dengan sabun dan langkah mencuci tangan dengan benar untuk mencegah penyakit dan hidup yang aman di era new normal Kata kunci: sabun; mencuci tangan; new normal. ABSTRACTHands are part of body which touch hundreds of surfaces stuff a day which contain all kind of  germs in the middle of our activities. But it might not realize just how much pathogens cause diseases especially COVID-19 that seriously case in the world. To support daily activities of society, washing hands is one of the best sanitation defences to against spread and infectious COVID-19 in this new era. So that, the important role played by hand hygiene is routinely washing hand with soap. To advocacy Global Handwashing Day in October 15, this program of activities for the community dedicated to increasing awareness and understanding about the importance of handwashing with soap as an effective and affordable way to prevent diseases and save live in new normal era. Keywords: soap; washing hand; new normal. 

scholarly journals Intrusion Dataset Over Network Traffic of SDN and TCP/IP Network

2021 ◽  
pp. 694-701
Author(s):  
Karan Shingare ◽  
Rohit Nandurkar ◽  
Prashant Shrivastav ◽  
Shailesh Bendale
Keyword(s):  
Intrusion Detection ◽  
Network Topology ◽  
Network Traffic ◽  
Intrusion Detection System ◽  
Detection System ◽  
Host System ◽  
Ip Network ◽  
The World

As the world is moving toward newer technologies and to meet the requirements of the same adapting toward different network topology. SDN is such example of a network which solves many issues or limitations of a traditional TCP/IP network. As majority of workspace is moving towards SDN, many new vulnerabilities are also emerging, and to protect the network and systems on these networks, in this paper we discuss and propose a dataset which would be helpful in training an intrusion detection system over SDN which would also include the intrusion dataset for traditional TCP/IP network too. We generate this data over SDN topology by attacking the host system present in the network, then analyse the generated data using CICFlowmeter which would give us the desired dataset for intrusion detection.

Nano Particles and Their Mode of Action in Environment

2018 ◽  
pp. 212-219
Author(s):  
Rakesh Bhatt ◽  
Sandeep Gupta
Keyword(s):  
European Union ◽  
Human Activities ◽  
Mode Of Action ◽  
Biological Effects ◽  
Inorganic Compounds ◽  
Consumer Products ◽  
Nano Particles ◽  
Daily Activities ◽  
The World ◽  
Innovative Materials

Nano particles are particles that exist on a nanometer scale. Nanoparticles exist in our surrounding either naturally or created by human activities. As per Commission of European Union (2011), a nano-object needs only one of its characteristic dimensions to be in the range of 1-100nm to be classed as a nanoparticle even if its other dimensions are outside that range. Nanoparticles have revolutionized the world through the introduction of a unique class of material and consumer products in many fields due to production of innovative materials and devices. Despite their unique benefits and utility in daily activities, this could result in undesirable changes in the environment and affect the workplace. Carbon-based nanoparticles, oxides of metals, and natural inorganic compounds can have biological effects on the environment and human health. This chapter deals with the nanoparticles and their mode of action in the environment.

Review of an EMG-Controlled Prosthetic Arm

2021 ◽  
pp. 85-92
Author(s):  
Rishabh Kumar ◽  
Aditya Kumar Singh ◽  
Sabyasachi Mukaherjee
Keyword(s):  
Daily Activities ◽  
Upper Limbs ◽  
Neural Signals ◽  
Myoelectric Prosthesis ◽  
Brain Signals ◽  
Number Of Factors ◽  
The World ◽  
Basic Functions ◽  
Almost All ◽  
Artificial Intelligence Systems

Amputation, especially of the upper limbs, is a condition that exists in almost all parts of the world. There are more than 110 thousand amputees in India itself. It is extremely difficult for amputees to carry out their daily activities and to deal with daily life as normal people do. The purpose of the myoelectric prosthesis is to restore the basic functions of the lost organs in the joint using neural signals produced by the muscles. Unfortunately, the use of such myosignals is complicated. In addition, once detected, it usually requires a computational force strong enough to convert it into a user-controlled signal. Its modification to the actual function of the implant is limited by a number of factors, especially those associated with the fact that each amputee has a different muscle movement. Modified artificial intelligence systems designed for pattern recognition have the potential to improve the size of implants but still fail to provide a system in which artificial arms can be controlled by brain signals.

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