Implementation of Design Thinking, to Improvise the Engine Stop/Start System for Enhanced Benefits in Real Time Driving Conditions in India

2015 ◽  
Author(s):  
Gopal Athani ◽  
Srinivasa Raju Gavarraju ◽  
Shashi Kulkarni ◽  
Ramakrishna Koduru ◽  
Kapil Dongare ◽  
...  
Keyword(s):  
Real Time ◽  
Design Thinking ◽  
Driving Conditions

Ontological Support of Human-Computer Interactions

2017 ◽  
pp. 203-243
Keyword(s):  
Real Time ◽  
Design Thinking ◽  
Human Computer Interactions ◽  
Important Place ◽  
The Real ◽  
Analytical Reasoning ◽  
Effective Models ◽  
Computer Interactions

In the real-time design, conceptual solving any new task is impossible without analytical reasoning of designers who interact with natural experience and its models among which important place occupies models of precedents. Moreover, the work with new tasks is a source of such useful models. The quality of applied reasoning essentially depends on the constructive use of appropriate language and its effective models. In the version of conceptual activity described in this book, the use of language means is realized as an ontological support of design thinking that is aimed at solving a new task and creating a model of corresponding precedent. The ontological support provides controlled using the lexis, extracting the questions for managing the analysis, revealing the cause-and effects regularities and achieving the sufficient understanding. Designers fulfill all these actions in interactions with the project ontology that can be developed by manual or programmed way in work with the task.

Intelligent Correction of Shift Schedule for Dual Clutch Transmissions Based on Different Driving Conditions

2011 ◽  
Vol 121-126 ◽  
pp. 3982-3987
Author(s):  
Yong Gang Liu ◽  
Da Tong Qin ◽  
Zhen Zhen Lei ◽  
Rui Ding
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Time Shift ◽  
Correction Coefficient ◽  
Vehicle Speed ◽  
Shift Schedule ◽  
Shift Control ◽  
Driving Condition ◽  
Driving Conditions ◽  
Driver’S Intention

This paper focuses on intelligent correction of shift schedule for dual clutch transmissions based on different driving conditions. The problem of standard shift schedule has been presented, and the strategy has also been proposed to avoid shift hunting and unexpected shift. The driver’s intention and driving environment have been unified recognized as different driving conditions. A fuzzy logic technology has been used in driver’s attention recognition based on the throttle opening and its derivative. The standard shift schedule has been intelligently corrected at different driving condition separately. An algorithm based on correction coefficient of throttle opening and vehicle speed is proposed for intelligent correction. The corrected shift schedule can be directly used in real time shift control with suitable correction coefficient.

scholarly journals COVID-19 – Protocol for Observational Studies Utilising Near Real-Time Electronic Australian General Practice Data to Promote Effective Care and Best-Practice Policy – A Design Thinking Approach

2020 ◽  
Author(s):  
Andrew Georgiou ◽  
Julie Li ◽  
Christopher Pearce ◽  
Adam McLeod ◽  
Nasir Wabe ◽  
...  
Keyword(s):  
General Practice ◽  
Real Time ◽  
Best Practice ◽  
Design Thinking ◽  
Digital Health ◽  
Health Networks ◽  
Primary Health ◽  
Effective Care ◽  
General Practices ◽  
The Impact

Abstract Background: Health systems around the world have been forced to make choices about how to prioritise care, manage infection control and maintain reserve capacity for future disease outbreaks. Primary health care has moved into the frontline as COVID-19 testing transitions from hospitals to multiple providers, where tracking testing behaviours can be fragmented and delayed. Pooled general practice data are a valuable resource which can be used to inform population and individual care decision-making. This project aims to utilise near real-time electronic general practice data to promote effective care and best-practice policy. Methods: The project will utilise a design thinking approach involving all collaborators (Primary Health Networks [PHNs], general practices, consumer groups, researchers, and digital health developers, pathology professionals) to enhance the development of meaningful and translational project outcomes. The project will be based on a series of observational studies utilising near real-time electronic general practice data from a secure and comprehensive digital health platform [POpulation Level Analysis and Reporting (POLAR) general practice data warehouse]. The study will be carried out over 1.5 years (July 2020 – December 2021) using data from over 350 general practices within three Victorian Primary Health Networks (PHNs) and Gippsland PHN, Eastern Melbourne PHN and South Eastern Melbourne PHN, supplemented by data from consenting general practices from two PHNs in New South Wales, Central and Eastern Sydney PHN and South Western Sydney PHN. Discussion: Developed using a design thinking approach, this project will deliver: 1) A near real-time geo-spatial reporting framework at community, state and nation-wide levels to identify emerging trends and monitor the impact of interventions/policy decisions. 2) Timely evidence about the impact of the COVID-19 pandemic related to its diagnosis, treatment and medications prescribed and its impact on patients. 3) A predictive geo-spatial analytics dashboard for timely, evidence-based decision-making at community, state and nation-wide levels. 4) An evidence-based suite of general practice outcome measures to monitor incidence, prevalence, recovery and mortality in response to the COVID-19 pandemic.

Eddy Current Brake Control for Test Cycles Simulation

2003 ◽  
Author(s):  
Enrico Corti
Keyword(s):  
Real Time ◽  
Human Error ◽  
Engine Speed ◽  
Standard Procedure ◽  
Driving Cycle ◽  
Operating Conditions ◽  
Chassis Dynamometer ◽  
Setup Cost ◽  
Cycle Simulation ◽  
Driving Conditions

On-vehicle (rolls dynamometer or road) tests are usually more expensive and time-consuming than test bench ones. Furthermore, sometimes results would be useful during vehicles design phase. The paper aim is to present a methodology that allows simulating the vehicle on an engine test cell, by properly controlling the bench actuators. Engine operating conditions mainly depend on speed and load, which are determined by the vehicle driving conditions: the speed-time trend assigned for the vehicle must be converted into equivalent speed-time and load-time trends for the engine, and used for feedback control of brake and accelerator actuators. To evaluate the engine load torque it is necessary to know vehicle characteristics (mass, gear ratios, wheels radius, drag coefficient, frontal area, etc.) and driving conditions: the real vehicle can thus be substituted with a virtual vehicle. The methodology has been applied to simulate an ECE-EUDC driving cycle, which is usually carried out on the rolls dynamometer, as imposed by regulations. During such test the vehicle has to follow an assigned speed-time trajectory, while road load and vehicle inertia are simulated and calibrated using a standard procedure. The test is subject to human error, since the driver does not follow exactly the theoretical speed trend, while using robot-drivers increases the setup cost. The same test has been reproduced on a standard engine bench. This setup would be useful to tune the engine correctly and to study the effects of vehicle characteristics variation, thus allowing to determine the correct strategy for emissions reduction, or to estimate the vehicle emission performance, before it is available for chassis dynamometer tests. The same system could be used for real time implementation of control strategies involving both the vehicle and the engine, such as traction control algorithms. Furthermore driving conditions simulations, executed by electronically controlling engine speed and load trajectories, would be more repeatable than human driving on the chassis dynamometer, and their cost would be substantially smaller. The paper shows how the vehicle speed trend can be converted into engine speed and load trends with a physical system model, and then used to control the bench using a real time control system, thus performing a vehicle driving cycle simulation.

scholarly journals Implementasi Metode Pendekatan Design Thinking dalam Pembuatan Aplikasi Happy Class Di Kampus UPI Cibiru

2020 ◽  
Vol 2 (1) ◽  
pp. 45-55
Author(s):  
Intan Permata Sari ◽  
Annisa Hasna Kartina ◽  
Ajeng Mubdi Pratiwi ◽  
Fitri Oktariana ◽  
Muhammad Farhan Nasrulloh ◽  
...  
Keyword(s):  
Real Time ◽  
Design Thinking

Fasilitas sistem informasi dalam mendukung kegiatan perkuliahan dan pembelajaran sangatlah penting. Adanya fasilitas sistem informasi yang baik, maka proses perkuliahan juga dapat berjalan dengan lebih efektif. Informasi yang kurang jelas mengenai jadwal kelas di UPI Cibiru membuat mahasiswa dan dosen di kampus UPI Cibiru merasa kurang nyaman. Oleh karena itu dengan adanya perkembangan teknologi saat ini, kami berupaya memanfaatkan untuk merancang aplikasi sistem informasi yang bernama Happy Class. Pada penelitian ini kami menggunakan metode pendekatan design thinking yang terdiri dari 5 tahapan, yaitu emphatize, define, ideate, prototype, dan test. Kami melakukan empati, observasi, dan mengidentifikasi masalah-masalah yang ada di dilingkungan kampus UPI cibiru, sehingga kami menemukan gagasan baru sebagai solusi dari permasalahan yang ada, yaitu merancang aplikasi Happy class untuk mempermudah mahasiswa dan dosen dalam mengakses informasi  tentang  kondisi  kelas  secara  real-time.  Sehingga  diharapkan  proses pembelajaran dapat berlansung dengan on-time dan tidak memakan waktu.

scholarly journals Mogućnost povećanja učinkovitosti pripreme tla i sjetve ozimih žita pomoću tehnologije precizne poljoprivrede

2018 ◽  
Vol 41 (5) ◽  
pp. 20-27
Author(s):  
Denis Stajnko
Keyword(s):  
Real Time ◽  
Precision Agriculture ◽  
Precision Farming ◽  
Soil Tillage ◽  
Time Saving ◽  
Digital Maps ◽  
Real Time Kinematic ◽  
The World ◽  
Driving Conditions

The concept of precision farming is wide, and it is represented with the efficiency achieved with the help of precise RTK (Real Time Kinematic) navigation, digital maps and appropriate software. Different studies around the world reported considerable fuel and time saving during soil tillage and seeding which based on omitting the overlapping and the frequency of turning round at the end of fields. For smaller farms, which commonly use 3 m working machines (cultivator, chisels, disc harrow) up to 15.7% of the time and 8.66 % of the fuel can be saved, while on 6 m machines up to 12.6 % of the time and 8.28% of fuel is saved. The main reason lies in the reduction of overlapping width which in manual driving conditions usually represent about 10 % of nominal working width. The use of precision agriculture technologies allows us to better plan and analyze the working procedures.

scholarly journals COVID-19 – Protocol for Observational Studies Utilising Near Real-Time Electronic Australian General Practice Data to Promote Effective Care and Best-Practice Policy – A Design Thinking Approach

2021 ◽  
Author(s):  
Andrew Georgiou ◽  
Julie Li ◽  
Christopher Pearce ◽  
Adam McLeod ◽  
Nasir Wabe ◽  
...  
Keyword(s):  
General Practice ◽  
Real Time ◽  
Best Practice ◽  
Design Thinking ◽  
Digital Health ◽  
Health Networks ◽  
Primary Health ◽  
Effective Care ◽  
General Practices ◽  
The Impact

Abstract Background: Health systems around the world have been forced to make choices about how to prioritise care, manage infection control and maintain reserve capacity for future disease outbreaks. Primary health care has moved into the frontline as COVID-19 testing transitions from hospitals to multiple providers, where tracking testing behaviours can be fragmented and delayed. Pooled general practice data are a valuable resource which can be used to inform population and individual care decision-making. This project aims to utilise near real-time electronic general practice data to promote effective care and best-practice policy. Methods: The project will utilise a design thinking approach involving all collaborators (Primary Health Networks [PHNs], general practices, consumer groups, researchers, and digital health developers, pathology professionals) to enhance the development of meaningful and translational project outcomes. The project will be based on a series of observational studies utilising near real-time electronic general practice data from a secure and comprehensive digital health platform [POpulation Level Analysis and Reporting (POLAR) general practice data warehouse]. The study will be carried out over 1.5 years (July 2020 – December 2021) using data from over 350 general practices within three Victorian Primary Health Networks (PHNs) and Gippsland PHN, Eastern Melbourne PHN and South Eastern Melbourne PHN, supplemented by data from consenting general practices from two PHNs in New South Wales, Central and Eastern Sydney PHN and South Western Sydney PHN. Discussion: Developed using a design thinking approach, this project will deliver: 1) A near real-time geo-spatial reporting framework at community, state and nation-wide levels to identify emerging trends and monitor the impact of interventions/policy decisions. 2) Timely evidence about the impact of the COVID-19 pandemic related to its diagnosis, treatment and medications prescribed and its impact on patients. 3) A predictive geo-spatial analytics dashboard for timely, evidence-based decision-making at community, state and nation-wide levels. 4) An evidence-based suite of general practice outcome measures to monitor incidence, prevalence, recovery and mortality in response to the COVID-19 pandemic.

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