Deep Learning for Odor Sensing

Senanur Demirci, Buse Nur Fidan, Tayseer M T R Hussein, Rufeyda Yagci, Nazende Yagmur Uysal, Istanbul Medipol University

Abstract – Research has been focusing on identifying chemicals through odor due to its diverse applications, such as security, medical diagnoses, and industry. Unlike light and sound, odor detection is complex due to the rapid dispersion of odor molecules. The olfactory system is responsible for detecting and identifying odors and has been extensively studied in various fields. Odor sensing technology has broad practical applications across security, healthcare, agriculture and more. Artifical intelligence, a branch of computer science, is used to replicate human-like odor detection. A project aims to detect and classify odors using a mices olfactory bulb data and artificial intelligence algortihms.

Sustainable Quality Control Process Improvement

Ahmet Anıl Kaya, Gülce Karaçay, Yusuf Eren Kılıç, Istanbul Medipol University

Abstract – This paper explains the outcomes of a pilot project using technology and eliminating human errors to achieve sustainable quality control in a manufacturing facility. The project used industrial engineering methodology facilitating a continuous process improvement approach involving facility visits, onsite observations, data collection and analysis, root-cause analysis, and analysis, measurement and redesign of quality-control processes providing a foundation for the development of sensor-aided quality control system. Process flow diagrams are utilized to map out the existing procedures, enabling the analysis of inefficiencies and areas for improvement. Furthermore, the project encompasses facility layout analysis and redesign, optimizing resource utilization and reducing waste. Quality control and process improvements are integral aspects of this study, with a focus on establishing a cause-effect relationship between better product quality and the corresponding reduction in carbon-footprint. The aim is to assess the impact of these improvements on overall sustainability. Although the study is a pilot project, it has provided valuable insights into creating sustainable quality control systems by using the power of technology providing basis for more environmentally conscious and efficient industrial operations.