User-centered design criteria in automobile design with a case study of automobile dashboard design

Thesis(Master)--Izmir Institute of Technology, Industrial Design, Izmir, 2006Includes bibliographical references (pages: 100-102)Text in English; Abstract: Turkish and Englishxi,102 leavesOur era provides us enormous changes and unforeseen advancements in technology, which lead to specific changes in economic and socio-cultural values. As a result of this shift, consumer.s need and expectations have changed into a search for new experiences. Companies, in search of satisfying the new expectations of this era.sconsumer, aspire to be innovative. To achieve this, they are concentrate on the user as the main source of innovation and design their products taking into consideration ergonomic, user needs and functionality. Automotive Industries is the one of the most developed and changed industries. Nowadays, especially interior of the automobile has changed with significant development. This paper describes and discusses the approach development aspects, and evoluation phases of a new generation interior design of automobile. The primary interest in the driver.s environment is the relationship between the driver.s seat, steering wheel and dashboard location. These are the workstation components that the driver required to stay in constand contact with, and the location of these control dictates the driver.s posture. Consequently, this study mainly aims to explore the role of user-centered design criterias for design phase and the role of ergonomic and human factors for automobile dashboard design

Bio-Inspired Filter Banks for SSVEP-based Brain-Computer Interfaces

Brain-computer interfaces (BCI) have the potential to play a vital role in future healthcare technologies by providing an alternative way of communication and control. More specifically, steady-state visual evoked potential (SSVEP) based BCIs have the advantage of higher accuracy and higher information transfer rate (ITR). In order to fully exploit the capabilities of such devices, it is necessary to understand the features of SSVEP and design the system considering its biological characteristics. This paper introduces bio-inspired filter banks (BIFB) for a novel SSVEP frequency detection method. It is known that SSVEP response to a flickering visual stimulus is frequency selective and gets weaker as the frequency of the stimuli increases. In the proposed approach, the gain and bandwidth of the filters are designed and tuned based on these characteristics while also incorporating harmonic SSVEP responses. This method not only improves the accuracy but also increases the available number of commands by allowing the use of stimuli frequencies elicit weak SSVEP responses. The BIFB method achieved reliable performance when tested on datasets available online and compared with two well-known SSVEP frequency detection methods, power spectral density analysis (PSDA) and canonical correlation analysis (CCA). The results show the potential of bio-inspired design which will be extended to include further SSVEP characteristic (e.g. time-domain waveform) for future SSVEP based BCIs.Comment: 2016 IEEE International Conference on Biomedical and Health Informatics (BHI

Time-Frequency Warped Waveforms

The forthcoming communication systems are advancing towards improved flexibility in various aspects. Improved flexibility is crucial to cater diverse service requirements. This letter proposes a novel waveform design scheme that exploits axis warping to enable peaceful coexistence of different pulse shapes. A warping transform manipulates the lattice samples non-uniformly and provides flexibility to handle the time-frequency occupancy of a signal. The proposed approach enables the utilization of flexible pulse shapes in a quasi-orthogonal manner and increases the spectral efficiency. In addition, the rectangular resource block structure, which assists an efficient resource allocation, is preserved with the warped waveform design as well.Comment: 4 pages, 5 figures; accepted version (The URL for the final version: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540914&isnumber=8605392

Waveform Design for 5G and Beyond

5G is envisioned to improve major key performance indicators (KPIs), such as peak data rate, spectral efficiency, power consumption, complexity, connection density, latency, and mobility. This chapter aims to provide a complete picture of the ongoing 5G waveform discussions and overviews the major candidates. It provides a brief description of the waveform and reveals the 5G use cases and waveform design requirements. The chapter presents the main features of cyclic prefix-orthogonal frequency-division multiplexing (CP-OFDM) that is deployed in 4G LTE systems. CP-OFDM is the baseline of the 5G waveform discussions since the performance of a new waveform is usually compared with it. The chapter examines the essential characteristics of the major waveform candidates along with the related advantages and disadvantages. It summarizes and compares the key features of different waveforms.Comment: 22 pages, 21 figures, 2 tables; accepted version (The URL for the final version: https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119333142.ch2

Network-Independent and User-Controlled RIS: An Experimental Perspective

The march towards 6G is accelerating and future wireless network architectures require enhanced performance along with significant coverage especially, to combat impairments on account of the wireless channel. Reconfigurable intelligent surface (RIS) technology is a promising solution, that has recently been considered as a research topic in standards, to help manipulate the channel in favor of users needs. Generally, in experimental RIS systems, the RIS is either connected to the transmitter (Tx) or receiver (Rx) through a physical backhaul link and it is controlled by the network and requires significant computation at the RIS for codebook (CB) designs. In this paper, we propose a practical user-controlled RIS system that is isolated from the network to enhance communication performance and provide coverage to the user based on its location and preference. Furthermore, a low-complexity algorithm is proposed to aid in CB selection for the user, which is performed through the wireless cloud to enable a passive and energy efficient RIS. Extensive experimental test-bed measurements demonstrate the enhanced performance of the proposed system while both results match and validate each other.Comment: Conference, 6 pages, 5 figures, 1 algorith

Highlights of Keystone symposium ‘Fibrosis: from bench to bedside’

This report is based on the ‘Fibrosis: from bench to bedside’ symposium from the Keystone Symposia meeting series, Keystone, Colorado, 23 to 28 March 2014. It was a fascinating symposium with high quality talks, workshops, and well attended poster sessions

Magnetic Levitation Based Applications in Bioscience

Contactless manipulation of small objects, such as micro−/nanoparticles, biological entities, and even cells is required in varied applications in biosciences. Magnetic levitation (MagLev) is a new-generation methodology to achieve contactless magnetic manipulation of objects. Lately, magnetic levitation methodology has been utilized in several applications in bioscience, such as biosensors, diagnostics and tissue engineering. Magnetic levitation enables separation or positioning of objects in three-dimensional (3D) space based on their density features. Therefore, density-based separation assays utilizing magnetic levitation for biosensing or diagnostic purposes are developed recently. Specific particles or cells, which are markers of any disease, could be detected by sorting them based on density differences through magnetic levitation. On the other hand, tissue engineering studies and production of self-assembled 3D cell culture structures are carried out by magnetic levitation, where cells are magnetically positioned while allowing cell-cell interaction resulting in 3D cell culture formation. Lately, magnetic levitation methodologies received more interest in the field of bioscience due to advantages about the efficiency and cost. This contribution broadly summarizes recent efforts in magnetic levitation techniques that are mainly applied in diagnostics and tissue engineering

Investigation of the Impact of Emotional Intelligence Efficacy on Teachers’ Multicultural Attitudes

It is important to have a positive attitude and perceptions towards cultural values, one of the key characteristics students have. It is observed that having a positive attitude towards students with different cultural values contributes to achievement in terms of education. Much of the research has revealed that educators have been found to have a positive attitude towards multicultural education. This study, however, strives to measure and determine the extent and level of the impact of the emotional intelligence efficacy on teachers' multicultural attitudes. The working group is comprised of 315 teachers working in primary schools in two provinces in the Southeast and two in the Marmara Region in 2015 – 2016 academic year. "The Schutte Emotional Intelligence Scale (SEIS) ", developed by Schutte et al. (1998) adapted into Turkish language by Cetinkaya and Alparslan (2011), and "Multicultural Attitude Scale", developed by Ponterotto et al.  (1998) adapted into Turkish by Yazici et al. (2009), were used in this research to determine teachers’ emotional intelligence efficacy and multicultural attitudes. The data were analyzed Using SPSS v.17.0 statistical software and Pearson Product-Moment Correlation and Stepwise regression analyzes were performed. The results show that subscales of emotional intelligence have an impact on the teachers’ multicultural attitudes at a significant level. Keywords: Multiculturalism, attitude, emotional intelligence, cultural values, efficacy

Highway accident number estimation in Turkey with Jaya algorithm

In the transportation sector in Turkey, approximately 90% of cargo and passenger transportation is carried out on highways. In recent years, increasing population and welfare levels have brought along an increase in demand for and intensity of highway use. Accidents experienced along with the increased intensity in the use of highways result in fatalities and loss of property. In order to minimize such losses on the highways and determine plans and programs for the future by benefiting from historical data, it is necessary to conduct accurate, consistent, effective, and reliable accident estimations. In the study, highway accident number estimation (HANE) in Turkey was made by using the meta-heuristic Jaya optimization algorithm. For HANE, Jaya linear (Jaya-L) and Jaya Quadratic (Jaya-Q) models were proposed. Indicators such as the number of accidents that occurred between 2002 and 2018, population, gross domestic product (GDP), total divided road length (TDRL), and the number of vehicles were taken for HANE. Indicators were analyzed for four different conditions. HANE was made by using Population–GDP–TDRL–Number of Vehicle indicators together. A total of 75% of the total 17-year data between 2002 and 2018 were used for training purposes, and 25% of the data were used for testing. The results of the proposed Jaya-L and Jaya-Q models were analyzed by comparing them with the Andreassen estimation model (AEM) and multiple linear regression (MLR) methods. Following the successful training and testing results, low, expected, and high scenarios were proposed, and the number of accidents between 2019 and 2030 was estimated. © 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature