Compressive Photon-Sieve Spectral Imaging

We develop a new compressive spectral imaging modality that utilizes a coded aperture and a photon-sieve for dispersion. The 3D spectral data cube is successfully reconstructed with as little as two shots using sparse recover

Bir imalat işletmesinde süreçlerle yönetim ve uzman sistem uygulaması

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.KOBİ'ler ölçek ekonomisinin kendilerinden büyük rakiplerine sağladığı avantajdan dolayı rekabette geride kalmışlardır. Yönetimsel sorunlarını da aşamayan KOBİ'lerle büyük işletmeler arasındaki uçurum her geçen gün artmaktadır. Toplam Kalite Yönetimi felsefesinin devamında ortaya çıkan ?Süreçlerle Yönetim? felsefesi KOBİ'lerin daha verimli ve müşteri odaklı çalışmalarını sağlamak için bir fırsattır.Bu çalışma KOBİ'ler için bir çıkış yolu olarak süreçlerle yönetim felsefesini önermiş ve bir KOBİ'de yapılan uygulamayı uzman sistem uygulaması ile destekleyerek daha kolay uygulanabilir hale getirmeyi amaçlamıştır.SME?s are far behind in the competition with their larger rivals due to their larger rivals have the benefits of economics of scale. They also have lots of managerial inconveniences. Therefore the distinction between SME?s and their larger rivals increases day by day. Business Process Management, which evolved after the appearance of Total Quality Management, is a great opportunity for SME?s to increase their efficiency and customer satisfaction.This paper work proposes BPM as a solution to SME?s. It also aims to manage a BPM project in an SME and support this project with an expert system application

High-resolution Multi-spectral Imaging with Diffractive Lenses and Learned Reconstruction

Spectral imaging is a fundamental diagnostic technique with widespread application. Conventional spectral imaging approaches have intrinsic limitations on spatial and spectral resolutions due to the physical components they rely on. To overcome these physical limitations, in this paper, we develop a novel multi-spectral imaging modality that enables higher spatial and spectral resolutions. In the developed computational imaging modality, we exploit a diffractive lens, such as a photon sieve, for both dispersing and focusing the optical field, and achieve measurement diversity by changing the focusing behavior of this lens. Because the focal length of a diffractive lens is wavelength-dependent, each measurement is a superposition of differently blurred spectral components. To reconstruct the individual spectral images from these superimposed and blurred measurements, model-based fast reconstruction algorithms are developed with deep and analytical priors using alternating minimization and unrolling. Finally, the effectiveness and performance of the developed technique is illustrated for an application in astrophysical imaging under various observation scenarios in the extreme ultraviolet (EUV) regime. The results demonstrate that the technique provides not only diffraction-limited high spatial resolution, as enabled by diffractive lenses, but also the capability of resolving close-by spectral sources that would not otherwise be possible with the existing techniques. This work enables high resolution multi-spectral imaging with low cost designs for a variety of applications and spectral regimes.Comment: accepted for publication in IEEE Transactions on Computational Imaging, see DOI belo

BRAVE: Broadening the visual encoding of vision-language models

Vision-language models (VLMs) are typically composed of a vision encoder, e.g. CLIP, and a language model (LM) that interprets the encoded features to solve downstream tasks. Despite remarkable progress, VLMs are subject to several shortcomings due to the limited capabilities of vision encoders, e.g. "blindness" to certain image features, visual hallucination, etc. To address these issues, we study broadening the visual encoding capabilities of VLMs. We first comprehensively benchmark several vision encoders with different inductive biases for solving VLM tasks. We observe that there is no single encoding configuration that consistently achieves top performance across different tasks, and encoders with different biases can perform surprisingly similarly. Motivated by this, we introduce a method, named BRAVE, that consolidates features from multiple frozen encoders into a more versatile representation that can be directly fed as the input to a frozen LM. BRAVE achieves state-of-the-art performance on a broad range of captioning and VQA benchmarks and significantly reduces the aforementioned issues of VLMs, while requiring a smaller number of trainable parameters than existing methods and having a more compressed representation. Our results highlight the potential of incorporating different visual biases for a more broad and contextualized visual understanding of VLMs.Comment: Project page at https://brave-vlms.epfl.ch

A new model for continuous evaluation of suppliers with real execution data

Supplier evaluation is a significant work for a company in order to enhance productivity and profitability. When a well-managed supplier evaluation is developed, this has a significant impact on the competitiveness of the entire supply chain. By examining the literature, it was seen that a great deal of papers are related to evaluation during new supplier selection process. However, there is a scarcity of studies that evaluate performance depending on the difficulty. The purpose of this paper is to focus on performance evaluation of the suppliers that are being currently worked with. In this context, Enterprise Resource Planning usage is investigated in order to collect and track real-time data for supplier evaluation systems, especially examined small- to medium-sized enterprises. With this in mind, this study conducts a questionnaire on the small- to medium-sized enterprises. Subsequently, by referring to the results of this study, a new evaluation model with dynamic structure is developed utilizing Enterprise Resource Planning, which constantly reviews suppliers at each delivery. Moreover, the developed model has been implemented in a medium-sized machine manufacturing company, integrating it into the purchasing module of its Enterprise Resource Planning system. The managers of the company have confirmed the proposed model and the manufacturing company is continuously doing a systematic evaluation with this model, thus facilitating to attain the goals of supply chain management such as reduction of inventory cost, increasing profit margin and customer satisfaction

Problem Posing with Third-grade Children: Examining the Complexity of Problems

Öz The purpose of this study was to investigate what factors third-grade students took into consideration when posing problems for their peers and how these factors affected the mathematical complexities of the problems. Free and semi-structured problem-posing tasks were given to 27 third-grade students, and the problems they created for their peers were analyzed in terms of their semantic structure and arithmetic complexity. According to the findings of the study, there was a statistically significant difference between the semantic structures of the problems in both tasks created for the more mathematically proficient student, but there was no difference between their arithmetic complexities. In addition, according to the qualitative findings of the study, the magnitude of the numbers, the operation types, the number of operations used, and the interests of the students were taken into consideration in posing problems for students with low and high levels of mathematical ability

A taxonomical study on the rotifer fauna of cappadocia region central anatolia Turkey

Many studies have been conducted on the rotifer species found in Turkey, but there are many regions that still remain to be investigated. Cappadocia (Nevsehir) is one such region that has not been studied in terms of diversity of the rotifer species. To our knowledge, the present study was the first to examine seasonal changes in rotifers in the Cappadocia region between February 2013 and April 2014. Seventy-two species of Rotifera belonging to 28 genera were recorded from 10 water bodies in the Nevsehir Province by repeatedly collecting samples in different seasons. Most species, (9, 13%) belonged to the genus Lecane followed by Trichocerca (7, 10%), Brachionus (7, 10%) and Cephalodella (5, 7%). From these results, we identified the richness of the Rotifera species in the Cappadocia region. All species that were found in this study were new records for each water source as well as for the Cappadocia (Nevsehir) regio