Smart Wheel Research Articles

THE USE OF SMARTWHELL MEDIA ON LEARNING OUTCOMES OF JAVANESE SCRIPT WRITING IN 3RD GRADE STUDENT

This study aims to determine the effect of the use of smart wheel media on learning outcomes of writing the Javanese alphabet (legena script) grade III students of SDN Sengon II Jombang. The results of this study are expected to provide thoughts that can be used as a source of information to increase knowledge, and are used as input and consideration for institutions involved in learning Javanese used as literature for further research. The design of this study was preexperimental and the design used was one group pretest-posttest design. the student were first given a preset question to find out how much the student’s ability before being given the treatment. then student are given posttest questions to determine the effect of the treatment that has been given. Research subjects in grade III students of SDN Sengon II Jombang in the academic year 2019/2020 on oven semester . Data collection techniques using the test. The research was conducted in the even semester of February-April.this research variable is using independent variable and dependedt variables the research insrumen used were: tes sheets, questionnaire sheets, observations sheets and interviem sheets. Students are given tests before and after learning using the smart wheel media in learning to write the Javanese alphabet (legena script), from the pretest and posttest tests that have been obtained the average results of pretest 66 with 17 students getting grades below KKM and 8 students getting grades below KKM, while the average posttest is 91.6 there are no students who score below the KKM. The positive response data from the student questionnaire results was 67.2%. The results showed that the use of smart wheel media in learning Javanese could have a positive influence on student learning outcomes and interest in learning.

Development of a Real-Time Driver Health Detection System Using a Smart Steering Wheel

The number of vehicle accidents due to driver drowsiness continues to increase. Therefore, prompt and effective detection for driver health during driving is crucial to improvement of traffic safety. A set of real-time health detection system built into a smart steering wheel for the driver is proposed in the paper. The driver's health condition (drowsiness) is detected by a developed algorithm by monitoring the driver’s biological signals, including respiration, hand grip force, photoplethysmogram (PPG), and electrocardiogram (ECG). Meanwhile the driver's state of arrhythmia, as a common cardiac disease, can be diagnosed too. The test results indicate that the developed real-time driver health detection system can effectively monitor the state of vigilance and the cardiac state, i.e. arrhythmia, of the driver.

IoT and Renewable Energy systems based Connected Chair for Health Monitoring

Health monitoring of a system involve in various activities done in order to make the system operating condition feasible with certain constrains such as current systems states which includes repair and maintenance of the observations. Remote health monitoring is a process in which patients with numerous conditions such a heart disease or diabetics are monitored based on the latest technology. Internet of things and renewable energy sources are the brain of this work based smart wheel chair for special people for autonomous movement and also gathering person’s health information using smart sensors displayed in webpage. For this innovative work a digital single board computer for gathering sensor information and also transfer the status of the persons through inbuilt Wi-Fi, and also the smart chair movement dependent upon user’s voice, which the sceneries are recognized by connected camera to raspberry pi. Renewable energy system such as PV array or wind energy systems can be replaced for supply of the entire health monitoring system and connected chair system.

Smart Wheel Chair for Elderly People

Healthcare is a labour intensive industry. A substantial amount of money and resources are spent on hiring caretakers and nurses for patients who need constant attention for their sustenance. The proposed system can be used for a broad spectrum of patients but specifically focuses on the elderly, the bedridden, and the ones with limited mobility. The proposed work provides a solution to get a full-fledged working system that automates every aspect of patient monitoring to reduce errors introduced by human intervention. It provides a framework of seamless interaction with the patient and, finally, to deliver external assistance for mobility. This proposed system relies on embedded computers, ECG, IoT, RTC, HMM, machine learning, and other sensors used in the healthcare industry.

Voice Controlled Smart Wheel Chair

Voice Controlled Smart Wheel Chair

Smart Gesture Recognition for Disabled People

Wheelchairs are utilized by the individuals who can't stroll because of physical ailment, injury or other handicap. As per the World Health Organization and World Bank Report there are 70 million individuals are having some type of inability. Which leads to a wide scope in development of smart wheel chair. In this research work, we present a RF and Bluetooth based smart wheelchair which can be controlled by finger or hand gesture using a gesture recognition sensor i.e. APDS 9960 and also can be controlled by the eye blink motion with the Bluetooth connection using a web cam. As the traditional joystick develops a certain strain on the patient hand this prototype will be a great help for those patient. This prototype can be vary between the hand/finger gesture and eye blink gesture.

Penerapan Model Auditory Intelectually Repetition untuk Meningkatkan Pemahaman Matematis Berbantuan Media Roda Pintar Matematika

The purpose of this study is to improve the ability of mathematical understanding, learning activities and teaching skills of teachers through the Auditory Intellectualy Repetition model with assisted by the mathematical smart wheel media. This research is a classroom action research conducted in class IV SDN Sukobubuk 01 Margorejo District Pati Regency second semester 2019/2020 academic year. The research method uses classroom action research consisting of 2 cycles each cycle consisting of 4 stages namely planning, implementing, observing and reflecting. The instruments used in this study were tests of mathematical understanding abilities, observation sheets of student learning activities and teacher teaching skills. Data will be analize test used in this research is quantitative and qualitative data analysis. The results showed, among others: (1) The ability of mathematical understanding through the Auditory Intellectualy Repetition Model assisted by the mathematical smart wheel media increased by 30.29 from the initial condition of 43.35 to 73.64 in the final condition; (2) Student learning activities through the Auditory Intellectualy Repetition Model assisted by mathematical smart wheel media have increased by 23.13 from the initial conditions of 53.12 to 76.25 in the final conditions; (3) Teachers' teaching skills in applying the Auditory Intellectualy Repetition Model assisted by the mathematical smart wheel media increased by 23.5 from the initial conditions of 52.5 to 76 in the final condition

Research on Rotational Angle Measurement for the Smart Wheel Force Sensor.

The measurement of the rotational angle of the wheel is critical for the smart wheel force sensor (SWFS) to obtain the wheel forces defined in the vehicle coordinates. To simplify the structure of the SWFS and overcome the shortcomings of the traditional angular transducer, a new method to evaluate the rotational speed of the wheel and then calculate the rotational angle is proposed in this paper. In this method, the centripetal acceleration caused by the rotation is recorded by three accelerometers and used carefully. What’s more, the possible sources of error are classified and analyzed. Simulations and stand experiment are carried out to demonstrate the effectiveness of the proposed method.

Smart Wheel Chair for Differently Abled Person

Smart Wheel Chair for Differently Abled Person

Utilising P300 via Non-Invasive Brain Computer Interface to Control Wheelchair

Physically challenged people have certain difficulties that prevents a public from living a natural life. The main advantage or need for design smart wheel chair is mobility. There are products catering to disabled person to satisfy also assist them to overcome the issues they face in move from one place to another, in various ways. The proposed system allows a person in need to move a wheelchair using his/her brainwave signals. That will be achieved by using a NeuroSky TGAM1 module and Arduino Mega 2560 over a Bluetooth communication establishment. The ultimate outcome is to comfort and cater to a larger population of the physically challenged with a simpler, cheaper yet effective alternative.

Recognizing Facial Expression in Video Processing

Theoretical, the Micro-expressions convey explicit nonverbal data, for instance the facial development caused by agony. In any case, as a result of their neighborhood and short nature, it is hard to distinguish MEs. This paper displays a novel recognition technique by perceiving a nearby and worldly example of facial development. In our framework, with the reason of improving the discovery precision, fleeting neighborhood highlights are created from the video in a sliding window of 300ms (mean span of a ME). These highlights are separated from a projection in PCA space and structure a particular example amid ME which is the equivalent for all MEs. Utilizing a traditional characterization calculation (SVM), MEs are then recognized from other facial developments. At long last, a worldwide combination examination is connected on the entire face to dispose of false positives. Trials are performed on MATLAB. The discovery results demonstrate that the proposed technique beats the most prevalent discovery technique by the investigation of different measurements.

Integration System of Voice Recognation and DC Motor Control Using Fuzzy Logic on Smart Wheel Chair

The main problem experienced by persons with disabilities and disabilities is the limitation of doing all activities, in general they need the help of others to perform activities in everyday life. It causes dependence on others which impact on the lack of productivity and hamper their potential in their lives. Based on these problems it is necessary to contribute technological innovation as a solution to help facilitate the activity of disabled and disability patient.The use of fuzzy logic method on DC motor control system integrated with Bluetooth communication media system to Android Smartphone using Rasberry phi microcomputer system integrated with arduino microcontroller can be used on the result of technology research of automatic wheelchair control system that can be driven using, voice recognition based control Android smartphone. The test results are performed on several parameters such as DC motor movement, DC motor load capacity, integration of voice recognition communication to DC motor control system and sound intensity to Android Smartphone. The results of this research are expected to help facilitate the activities of the disabled or disability so as to increase their productivity.

Smart wheel chair using android based messenger system

Smart wheel chair using android based messenger system

Race Motorcycle Smart Wheel

Race Motorcycle Smart Wheel

Enhancing Technological Innovation with the Implementation of a Sustainable Manufacturing Community

The global challenge of sustainable value creation can be coped with by raising human awareness about it all around the world. Increasing process effectiveness and efficiency in view of shrinking natural resources, increasing competitiveness and profitability by selling functionality and service instead of physical products give strategic references for the development of the so called sustainable manufacturing community (SMC). Ubiquitous application of modern information and communication technology (ICT) for shaping responsible global citizenship by knowledge transfer can expand learning and teaching productivity by magnitudes, can strengthen the leverage of help for self-help, can enable initiative and creativity for entrepreneurial approaches in the global village without losing local differentiation. Elements of an architecture for an SMC and the concrete case of smart wheel urban mobility with an outlook for an exemplary German Vietnamese collaboration perspective are considered.

Smart Wheel Chair for Visually Impaired

Smart Wheel Chair for Visually Impaired

Efficient control of a SmartWheel via Internet with compensation of variable delays

Control through networks requires effective strategies due to the presence of induced phenomena. This paper deals with the compensation of the effects of time-varying delays when controlling a delay-dominated system, called SmartWheel (SW), over the Internet in the framework of fractional order control (FOC). In particular, the gains of a nominal fractional order PIα controller, designed for a local purpose, are adapted with respect to the current delay condition to perform an efficient control over the network. The quadratic stability of the controlled system is proved by a frequency domain method on the basis of switching systems theory. Experimental and simulated results are given to show the effectiveness of the proposed control strategy, referred to the significantly better system performance in comparison with the application of the nominal PIα, especially for large Internet-induced delays.

Hand-rim Forces and Gross Mechanical Efficiency at Various Frequencies of Wheelchair Propulsion

To determine the effects of push frequency changes on force application, fraction of effective force (FEF) and gross efficiency (GE) during hand-rim propulsion. 8 male able-bodied participants performed five 4-min sub-maximal exercise bouts at 1.8 ms(-1); the freely chosen frequency (FCF), followed by 4 counter-balanced trials at 60, 80, 120 and 140% FCF. Kinetic data was obtained using a SMART(Wheel), measuring forces and moments. The GE was determined as the ratio of external work done and the total energy expended. Increased push frequency led to reductions in peak resultant force (P<0.05), ranging from 167 to 117 N and peak tangential force (P<0.05), ranging from 117 to 77 N. However, FEF only demonstrated a significant difference between 60% and 140% FCF (69 ± 9% and 63 ± 7, respectively; P<0.05). Work per cycle decreased significantly (P<0.05) and rate of force development increased significantly (P<0.05) with increased push frequency. GE values were significantly lower at 60%, 120% and 140% FCF than 80% and 100% FCF (P<0.05). No meaningful associations were present between FEF and GE. Under the current testing conditions, changes in push frequency are accompanied with changes in the absolute force values, albeit without changes in either the gross pattern/trend of force application or FEF. Changes in GE are not explained by different levels of force effectiveness.

EXPERIENCES ON AN INTERNET LINK CHARACTERIZATION AND NETWORKED CONTROL OF A SMART WHEEL

The number of control systems connected by local or global communication networks is increasing. In this type of system, the effects of time-varying network-induced delays and data losses are major drawbacks, and in order to achieve an efficient closed-loop system performance, a simple and feasible strategy compensates for these undesirable effects based on the characterization of the experimental network by using real traffic measurements. This paper aims to control a platform called Smart Wheel through Internet by applying this compensation strategy to three different controllers, of fractional and integer orders, based on the previous analysis of the Internet link. Experimental and simulation results are given to show the effectiveness of the proposed control strategies and the advantages of the Internet link modeling.

Fractional Gain Scheduled Controller for a Networked Smart Wheel: Experimental Results

AbstractThe performance of Networked Control Systems (NCS) is directly affected mainly by time-varying network delays, so a specific approach to compensate their effects is usually required during the controller design process. This paper deals with the control of an experimental platform over the Internet by applying a novel fractional gain scheduling strategy which enables an existing fractional order PI controller for efficient control over the network. The proposed controller introduces delay-adaptive gains, which are optimal with respect to the current network condition. Experimental results show the effectiveness of the proposed controller, providing significantly better system performance, especially when the network-induced delay is increased in certain circumstances.