Driving cycle development for Kuala Terengganu city using k-means method

Driving cycle plays a vital role in the production and evaluating the performance of the vehicle. Driving cycle is a representative speed-time profile of driving behavior of specific region or city. Many countries has developed their own driving cycle such as United State of America, United Kingdom, India, China, Ireland, Slovenia, Singapore, and many more. The objectives of this paper are to characterize and develop driving cycle of Kuala Terengganu city at 8.00 a.m. along five different routes using k-means method, to analyze fuel rate and emissions using the driving cycle developed and to compare the fuel rate and emissions with conventional engine vehicles, parallel plug-in hybrid electric vehicle, series plug-in hybrid electric vehicle and single split-mode plug-in hybrid electric vehicle. The methodology involves three major steps which are route selection, data collection using on-road measurement method and driving cycle development using k-means method. Matrix Laboratory software (MATLAB) has been used as the computer program platform in order to produce the best driving cycle and Vehicle System Simulation Tool Development (AUTONOMIE) software has been used to analyze fuel rate and gas emission. Based on the findings, it can be concluded that, Route C and single spilt-mode PHEV powertrain used and emit least amount of fuel and emissions

myBas driving cycle for Kuala Terengganu city

Driving cycles are series of data points that represent vehicle speed versus time sequenced profile developed for specific road, route, city or certain location. It is widely utilized in the application of vehicle manufacturers, environmentalists and traffic engineers. Since the vehicles are one of the higher air pollution sources, driving cycle is needed to evaluate the fuel consumption and exhaust emissions. The main objectives in this study are to develop and characterize the driving cycle for myBAS in Kuala Terengganu city using established k-means clustering method and to analyse the fuel consumption and emissions using advanced vehicle simulator (ADVISOR). Operation of myBAS offers 7 trunk routes and one feeder route. The research covered on two operation routes of myBAS which is Kuala Terengganu city-feeder and from Kuala Terengganu to Jeti Merang where the speed-time data is collected using on-board measurement method. In general, driving cycle is made up of a few micro-trips, defined as the trip made between two idling periods. These micro-trips cluster by using the k-means clustering method and matrix laboratory software (MATLAB) is used in developing myBAS driving cycle. Typically, developing the driving cycle based on the real-world in resulting improved the fuel economy and emissions of myBAS

Driving Cycle Analysis for Fuel Economy and Emissions in Kuala Terengganu during Peak Time

Number of vehicles grows rapidly in Kuala Terengganu by year. This increment is troubled by the performance of the vehicle regarding pollutants generated. Plug-in hybrid electric vehicles (PHEV) are widely considered to be the most promising vehicles instead of the traditional engine vehicles to reduce fuel consumption and exhaust gas emission. The objectives of this paper are to develop driving cycle of Kuala Terengganu and to analyse the fuel economy and emissions in Kuala Terengganu during peak time. Driving cycle is where PHEV is used as the main apparatus to determine the driving cycle data. In this study, the on-road measurement method is used to collect the data, along with the global positioning system. This technique involves recording speedtime dataset in the real-world driving cycle. Three main methods to identify the best driving cycle are route selection, data collection and data analysis. The data were analysed to get the best driving cycle using a computer program, which is Mathematical Laboratory (MATLAB), along with validated parameters

Insights into the pathogenesis of nicotine addiction. Could a salivary biosensor be useful in Nicotine Replacement Therapy (NRT)?

Nicotine has gained the attention of the medical community due to its insidious addictive mechanisms which lead to chronic consumption. The multitude of compounds derived from tobacco smoke have local and systemic negative impacts, resulting in a large number of smoking-related pathologies. The present review offers insights into nicotine addiction physiopathology, as well as social and medical implications, with emphasis on its correlation with Advanced Glycation End Products (AGEs). Therapeutic strategies and new approaches to nicotine assessment and cessation treatment are discussed, noting that such strategies could take into account the possibility of slow and gradual nicotine release from a device attached to a prosthetic piece, based on salivary nicotine-concentration feedback. This approach could offer real-time and home-based self-therapy monitoring by the physician and the patient for follow-up and improve long-term cessation treatment success- Graphical abstract

A Comparative Study of Conceptual Design and Prototype for DC-Trad Usingev Powertrain for RTW DC in KT City

This paper is an overview of electric vehicle (EV) conceptual model development in SIMULINK; this involves components of an EV which include driver input, motor and controller, battery and the calculation of parameters with a dashboard viewing interface in which all parameters can be monitored from the dashboard. The paper focuses on comparisons of specifications and costing of an EV and a fuel-powered vehicle on route-to-work driving cycle for Kuala Terengganu city (RTW DC for KT city). A few parameters of EV were chosen to be interpreted: time, distance travelled, average speed, average running speed, average acceleration, average deceleration, acceleration percentage, deceleration percentage, idling percentage, cruising percentage, kWh and fuel costing, battery voltage, current, state-of-charge (SOC) and power. Through this, detailed overview of EV efficiency can be concluded and proven. This paper applies four methods: parameter calculation, EV modelling, data collection on RTW DC for KT city using driving cycle tracking device and validation of EV with RTW DC for KT city. The validation of the model is successful, and the travelling with the EV is proven to be more costefficient compared to that with fuel-powered vehicles.The authors express their obligation to Ministry of Education Malaysia for providing financial assistance under FRGS 2020 (59623) grant and the Faculty of Ocean Engineering Technology and Informatics, UMT for all their technical and research support for this work to be successfully completed

Insights into the pathogenesis of nicotine addiction. Could a salivary biosensor be useful in Nicotine Replacement Therapy (NRT)?

Nicotine has gained the attention of the medical community due to its insidious addictive mechanisms which lead to chronic consumption. The multitude of compounds derived from tobacco smoke have local and systemic negative impacts, resulting in a large number of smoking-related pathologies. The present review offers insights into nicotine addiction physiopathology, as well as social and medical implications, with emphasis on its correlation with Advanced Glycation End Products (AGEs). Therapeutic strategies and new approaches to nicotine assessment and cessation treatment are discussed, noting that such strategies could take into account the possibility of slow and gradual nicotine release from a device attached to a prosthetic piece, based on salivary nicotine-concentration feedback. This approach could offer real-time and home-based self-therapy monitoring by the physician and the patient for follow-up and improve long-term cessation treatment success- Graphical abstract

Multimodalities Element in the Cartoon Work Through Linguistic Modes and Visual Modes

In cartoons, meanings and messages are generated either through two semiotic modes that are verbal and visual or solely through visual modes. Interaction between language and cartoon images is often regarded as a straightforward and easy-to-process way to convey a message. This study aims to show that the meaning and cartoon messages are not always easy to understand, therefore readers should observe the language and visual information of each cartoon. This study is aimed at identifying the linguistic modes and the visual modes in the cartoons to convey the meaning and the explicit message or implied message. For this purpose, two theories are adopted; Systemic Functional Linguistics Theory by Halliday (1994) to analyze linguistic modes and multimodal approach by Kress and Van Leeuwen (1996, 2006) to analyze visual modes or images in cartoons. The research data was obtained from Usik-Usik cartoon book (Cynical Collection of the World of Education). The findings indicate that language text is a linguistic modes that acts as an effective multimodal element and complement the visual modes in the cartoon work. Furthermore, the findings of the study also show that the role of linguistic modes is to provide the context in the cartoon work as additional information so that the reader can understand the messages to be communicated more clearly