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Ball Lens Based Mobile Microscope
(Gazi Univ, 2016) Icoz, Kutay; 0000-0002-0947-6166; AGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümü; Icoz, Kutay; 01. Abdullah Gül University
In this paper we report a low cost, simple and mobile microscope based on attachment of a ball lens to a cell phone. The system's noise and parameters affecting the image quality is investigated. The ball lens provides approximately 100X magnification and together with the cell phone's integrated lens and image sensor, 3,4-micron resolution is reached. The field-of-view of the system is 1500x1500 mu m where the price of the ball lens and the holder is less than 10 cents. By using this system as an optical light microscope, we are able to acquire images of micro particles and micro sensors. When combined with image processing methods, this optical system is capable of doing complex analysis as an alternative to commercial optical light microscopes.
Beyond Moral Foundations: In it What is in it
(2023) Özkan, Türker; Yalçındağ, Bilge; 0000-0001-7867-7845; AGÜ, İnsan ve Toplum Bilimleri Fakültesi, Psikoloji Bölümü; Yalçındağ, Bilge; 01. Abdullah Gül University
Ahlak kavramının içeriği nedir? Bu soru yıllar boyu psikoloji literatüründe kısmen dar bir bakış açısı ile zarar vermemek ve adil olmak şeklinde yanıtlanmıştır. Geçtiğimiz 30 yılda yapılan araştırmalarla ahlak anlayışı oldukça genişlemiştir. Farklı alanlardaki ilerlemeler ahlaka daha kapsamlı bir bakış açısı getirilmesini sağlamıştır; özellikle ahlaki temeller kuramı (ATK), sadakat, otorite ve kutsallık gibi başka ahlaki ilkelerin de varlığını iddia etmiştir. Mevcut araştırma, iki niteliksel çalışmayla sıradan insanların ahlak anlayışını araştırmıştır. İlk çalışmada, ATK’nin ahlaki temel tanımlarını kullanarak katılımcılar tarafından nasıl algılandıklarını anlamayı amaçladık. İkinci çalışmada ise daha yapısal olmayan bir yol kullanarak ahlakı, ahlaklı insanı ve ahlaksız insanı nasıl tanımladıklarını anlamaya çalıştık. Bulgular çoğulcu ahlaki bakış açısını doğrulamıştır. Bununla beraber, ahlaki temellerde daha net işevuruk tanımların gereği ve çeşitli değişiklik önerileri dile getirilmiştir. Sonradan eklenen bir ahlaki kavram olan özgürlük, daha geniş yönleriyle birlikte ahlaki bir temel olarak da desteklenmiştir. Sonuçlar ATK’nin bakış açısını bireysel, toplumsal ve evrensel düzeydeki ahlaki ilkelerle genişletmekte ve ahlaki duygular, erdemler ve kötülükler gibi yeni araştırma alanları sunmaktadır.
Citation - Scopus: 1
The Communication Strategies of Ideologically Polarized Civil Society Organizations on Twitter: The Case of Turkey
(Springer Nature, 2022) Akboga, Sema; Arik, Engin; 0000-0003-0937-9961; 0000-0002-0981-257X; AGÜ, İnsan ve Toplum Bilimleri Fakültesi, Psikoloji Bölümü; Arık, Engin; 01. Abdullah Gül University; 06. İnsan ve Toplum Bilimleri Fakültesi; 06.02. Psikoloji
We investigated how ideologically polarized civil society organizations (CSOs) in Turkey use Twitter. We analyzed tweets from 20 CSOs in Turkey for a period of 7 months by using the Information-Community-Action framework. For all types of CSOs, the number of information tweets was higher than the number of action tweets, which, in turn, was higher in number than the community tweets. Religious/conservative and anti-government CSOs posted significantly more tweets than secular and pro-government CSOs, respectively. Religious/conservative and pro-government CSOs posted more information and community tweets than secular and anti-government CSOs, respectively. The number of anti-government CSOs’ action tweets was higher than that of pro-government CSOs. We, therefore, propose that the ideological stance of a CSO is a factor affecting the content of its tweets in societies where CSOs are politically polarized. © 2024 Elsevier B.V., All rights reserved.
COVID-19 Uzaktan Eğitim Sürecinde Öne Çıkan Faktörler: Bir Devlet Üniversitesi Örneği
(2022) Lloyd, Fatma Armağan Teke; Türk, Umut; Bengu, Elif; 0000-0001-5439-439X; 0000-0002-8440-7048; 0000-0001-9817-7207; AGÜ, İnsan ve Toplum Bilimleri Fakültesi, Siyaset Bilimi ve Uluslararası İlişkiler Bölümü; Teke-Lloyd, Fatma Armagan; Türk, Umut; Bengü, Elif; 01. Abdullah Gül University; 03.02. Ekonomi; 03. Yönetim Bilimleri Fakültesi; 06. İnsan ve Toplum Bilimleri Fakültesi; 06.01. Siyaset Bilimi ve Uluslararası İlişkiler; 10. Rektörlük
Uzaktan eğitim uygulamaları üzerine Türkiye’nin ve diğer ülkelerin deneyimi oldukça köklüdür; fakat, COVID-19 dönemindeki uzaktan eğitim, tam hazırlık yapılamadan örgün eğitimin tamamen yerini aldığı bir süreç olmuştur. Bu çalışma, Anadolu’da acil uzaktan eğitim sürecini görece başarılı yöneten bir devlet üniversitede yürütülmüştür. Çalışmanın amacı COVID-19 uzaktan eğitim sürecinde öğrencilerin deneyimlerini etkileyen sosyo-ekonomik faktörler ile birlikte öğrencilerin uzaktan eğitim sürecine dair algılarını, zorlandıkları ve/veya olumlu buldukları yönleri tespit etmeyi amaçlamıştır. Makalenin bir diğer önemli çıktısı da uzaktan eğitim sürecinde öğrencilerin motivasyonu ve başarısında fark yaratan sosyo-ekonomik ve toplumsal cinsiyet temelli faktörler olmuştur. Araştırmada 484 öğrenci ile anket ve 3 adet odak grup çalışması yapılmış, sonuçlar tanımlayıcı şekilde makalede paylaşılmıştır. Sonuçların, acil uzaktan öğrenme dönemine görece olarak hazırlıksız yakalanan yüksek öğrenim kurumlarına, öğrenci algısını ve deneyimini anlamaları açısından bir kaynak olması beklenmektedir. Aynı zamanda, çalışma ile uzaktan eğitimde ‘hassas /kırılgan’ öğrenci gruplarının tespitinin yapılması ve uzaktan eğitim sürecinde öğrencileri etkileyen sosyo-ekonomik eşitsizliklerin ortaya konması amaçlanmaktadır
Design and Development of Functional Organic Small Molecules and Polymers for Optoelectronics
(Amer Chemical Soc, 2016) Usta, Hakan; Demirel, Gokhan; Facchetti, Antonio; Muccini, Michele; 0000-0002-0618-1979; AGÜ, Mühendislik Fakültesi, Malzeme Bilimi ve Nanoteknoloji Mühendisliği Bölümü; Usta, Hakan; 01. Abdullah Gül University; 02.07. Malzeme Bilimi ve Nanoteknoloji Mühendisliği; 02. Mühendislik Fakültesi
Effect of Ambient Temperature on the Flexural Behavior of 3D Printed Composite Beams
(Soc. for the Advancement of Material and Process Engineering Janie@sampe.org, 2018) Yildirim, Afsin Talha; Eroglu, Fatih; Yesilyurt, Ogulcan; Albayrak, Kubilay; Sas, Hatice Sinem; Çiftçi, Cihan; 0000-0001-9199-6437; AGÜ, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü; Yıldırım, Afşin Talha; Eroglu, Fatih; Yesilyurt, Ogulcan; Albayrak, Kubilay; Ciftci, Cihan; 01. Abdullah Gül University; 02.03. İnşaat Mühendisliği; 02. Mühendislik Fakültesi
Adaptation of the additive manufacturing technology with 3D printers may lead to a new track in the manufacturing of composite materials. This additive manufacturing technology aims to mitigate manufacturing challenges and related design limitations of traditional composite manufacturing methods. The implementation of 3D printing of composite materials has the potential of decreasing the material cost by developing scientific methodologies to understand and optimize this printing process. This study focuses on understanding the flexural behavior of 3D printed composite beam elements and providing material data of both matrix and reinforcement components of composite materials. In this study, the flexural performance at different thermal conditions is experimentally investigated. This investigation involves the effect of the matrix material with and without short-fiber reinforcements for a specified fiber placement in the beam and fiber filaments placement in compression and tension sides of the composite beam elements along with the ambient temperature change. © 2018 Elsevier B.V., All rights reserved.
Citation - Scopus: 5
Emotion Detection Using Multivariate Synchrosqueezing Transform via 2D Circumplex Model
(Institute of Electrical and Electronics Engineers Inc., 2018) Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent; Özel, Pınar; Akan, Aydin I.; Yilmaz, Bulent; AGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümü; 01. Abdullah Gül University
Emotion detection by utilizing signal processing methods is a challenging area. An open issue in emotional modeling is to obtain an optimum feature set to use for the classification process. This study proposes an approach for emotional state classification by the investigation of EEG signals via multivariate synchrosqueezing transform (MSST). MSST is a post-processing technique to compose a localized time-frequency representation yielding multivariate syncyrosqueezing coefficients. After obtaining these coefficients from EEG signals for 18 subjects from DEAP dataset, coefficients and self-assessment-mannequins (SAM) labels of those subjects are used for emotional state classification by using support vector machines (SVM) nearest neighbor, decision tree, and ensemble methods. The accuracy rate is 70.6% for high valence high arousal (HVHA), 75.4% for low valence high arousal (LVHA), 77.8% for high valence low arousal (HVLA), and 77.2% for low valence low arousal (LVLA) cases using SVM. © 2019 Elsevier B.V., All rights reserved.
Citation - WoS: 1
Evolution of Production Spaces: A Historical Review for Projecting Smart Factories
(Konya Technical Univ, Fac Architecture & design, 2023) Basegmez, Merve Pekdemir; Asiliskender, Burak; 0000-0003-3712-5512; 0000-0002-4143-4214; AGÜ, Mimarlık Fakültesi, Mimarlık Bölümü; Pekdemir Başeğmez, Merve; Asiliskender, Burak; 01. Abdullah Gül University; 05.01. Mimarlık; 05. Mimarlık Fakültesi
Factories are transforming not only mechanically and technologically but also architecturally due to emerging developments in the industry and fabrication: This new process, called the Second Machine Age or Industry 4.0, a new model is designed in production by providing the human-machine partnership over a virtual network. It is aimed that the machines used in production and the people participating in different stages of production can work in different spaces. In time, jobs that require human power will be replaced by robots, and a new order is being considered where there will be no people in production spaces, and they can work in the virtual environment. Production for human beings is mostly from material production to digital production; labour will turn into digital labour. For this reason, it is thought that production spaces will turn into smart factories with only machines and production robots and no workers. And now the question is: what is a smart factory?The revolutions in the industry history started with the invention of the steam engine; then, new technological revolutions were experienced with the use of electricity in production, the development of automation systems and internetbased systems. While technology and production tools are constantly changing, these developments also affect production spaces. Factories are also transforming to keep up with these rapid and continuous physical and fictional innovations. This study focuses on the architectural evolution of factories by following the technological revolutions of the industry. It examines the main criteria in the process of change and transformation of factories and spatial reflections of the revolutions. It establishes a relationship between production technology and the needs of the production spaces and seeks references from past samples. The study aims to review the historical background for generating a projection to new production spaces and to be a new discussion for future factories.
Citation - WoS: 31
A Long-Term View of Refugee Flows From Ukraine: War, Insecurities, and Migration
(Transnational Press London, 2022) Lloyd, Armagan Teke; Sirkeci, Ibrahim; 0000-0001-5439-439X; 0000-0002-2334-7424; AGÜ, İnsan ve Toplum Bilimleri Fakültesi, Siyaset Bilimi ve Uluslararası İlişkiler Bölümü; Teke Lloyd, Armağan; 01. Abdullah Gül University; 06. İnsan ve Toplum Bilimleri Fakültesi; 06.01. Siyaset Bilimi ve Uluslararası İlişkiler
This article examines the exodus of migrants from Ukraine in the context of the Russian invasion, making use of the conflict model of migration. We argue that Ukraine has long been characterized by insecurities which have already fueled large waves of emigration from the country. Indeed, the most recent phase of Ukrainian emigration should be seen as a continuation of the ongoing tendency of people residing in the country to seek escape from the overarching conditions of insecurity there. Earlier migrations from Ukraine have also established a culture of migration which has mediated the outflow of Ukrainians during the current crisis. Ukrainians who had already harboured inclinations to leave the country and who were possessed of the necessary capabilities (i.e. social capital, financial capital, human capital and physical ability) became mobile at the onset of the invasion in February, while many others were left behind. At the same time, the welcoming attitude of many European states has been key to the fast and safe exodus of Ukrainian migrants thus far.
Citation - Scopus: 1
Man-Hour Prediction for Complex Industrial Products
(Institute of Electrical and Electronics Engineers Inc., 2023) Unal, Ahmet Emin; Boyar, Halit; Kuleli Pak, Burcu Kuleli; Cem Yildiz, Mehmet; Erten, Ali Erman; Güngör, Vehbi Çağrı; 0000-0003-0803-8372; AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü; Gungor, Vehbi Cagri; 01. Abdullah Gül University
Accurately predicting the cost is crucial for the success of complex industrial projects. There can be several sources contributing to the cost. Traditional methods for cost estimation may not provide the required accuracy and speed to ensure the success of the project. Recently, machine learning techniques have shown promising results in improving cost estimation in various industrial products. This study investigates the performance of gradient-boosting machine learning models and feature engineering techniques on a private dataset of metal sheet project man-hour costs. A comparison of distinct models is conducted, key aspects influencing cost are identified, and the implications of incorporating domain-specific knowledge, including its advantages and disadvantages, are assessed based on performance outcomes. Experimental results demonstrate that LightGBM and XGBoost outperform other models, and feature selection and synthetic data generation techniques improve the performance. Overall, this study highlights the potential of machine learning in metal sheet sampling projects and emphasizes the importance of feature engineering and domain expertise for better model performance. © 2024 Elsevier B.V., All rights reserved.
Novel Method Based on Photothermal Cleavage of Thermolabile Molecules on Au Nanoparticles for Controlled Release
(Amer Chemical Soc, 2016) Goren, Ekrem; Cavusoglu, Halit; Yavuz, Emine; Usta, Hakan; Citir, Murat; Yavuz, Mustafa Selman; AGÜ, Mühendislik Fakültesi, Malzeme Bilimi ve Nanoteknoloji Mühendisliği Bölümü; Usta, Hakan; Citir, Murat; 01. Abdullah Gül University; 02.07. Malzeme Bilimi ve Nanoteknoloji Mühendisliği; 02. Mühendislik Fakültesi
Proximity or Directional Model of Voting for the Turkish Voter?
(2024) İnan, Murat; Akdağ, Gül Arıkan; 0000-0001-7554-6217; AGÜ, İnsan ve Toplum Bilimleri Fakültesi, Siyaset Bilimi ve Uluslararası İlişkiler Bölümü; İnan, Murat; 01. Abdullah Gül University; 06. İnsan ve Toplum Bilimleri Fakültesi; 06.01. Siyaset Bilimi ve Uluslararası İlişkiler
Oy verme davranışı oldukça karmaşık bir politik davranış türüdür. Bu nedenle seçmenlerin belirli bir politik parti ya da adaya neden oy verdiklerini anlamak karmaşık modeller geliştirmeyi gerektirir. 1957 yılında, Modelini Hottelings ve Smithies'in modelleri üzerine kuran Anthony Downs, siyasi partilerin ve adayların ideolojik ve meseleler üzerindeki konumlarının tek boyutlu bir alanda ifade edilebileceğini savunmuştur. Belirli bir konudaki politik fikirlerin bu şekilde ifade edilebileceğini ileri sürmek bir yandan son derece indirgemeciyken, diğer yandan ise analitik açıdan son derece pratikti. Partileri, adayları ve seçmenleri konumlarına göre tek boyutlu bir alana yerleştirmek zamanı için devrim niteliğinde bir fikirdi ve parti, aday ve seçmenlerin ideolojik ve meseleler üzerindeki konumlarının her bir ülke içinde veya ülkeler arasında karşılaştırılmasına yardımcı olmuştur. Parti rekabetinin uzamsal modelleri olarak adlandırılan bu modeller zaman içinde daha da geliştirilmiş ve oy verme davranışını anlamayı kolaylaştırmıştır. Halihazırda parti rekabetinin uzamsal modelleri seçmenlerin ideolojik konumlarını parti ideolojik konumlarıyla ilişkilendiren iki başlıca rakip modele sahiptir. Basitçe, yakınlık modeli, seçmenlerin siyasi alanda kendilerine en yakın ideolojik pozisyona sahip parti veya adaylara oy vereceklerini önerirken, yön modeli ise seçmenlerin ideolojik yelpazenin kendi tarafında fakat kendilerinden daha uç noktada ancak belirli bir kabul edilebilirlik bölgesi içerisinde bulunan parti veya adaylara oy vereceklerini önermektedir. Bu araştırma, bu iki oy verme modelinin Türk seçmeni için uygulanabilirliğini test etmeyi amaçlamaktadır. Mevcut literatürde Nispi Temsil Sistemlerinde (NTS) yakınlık modelinin oy verme davranışını açıklamak için daha uygun bir araç olduğunun önerilmesinden ötürü, Türkiye uzun süredir kullandığı NTS seçim sistemiyle ilginç bir örnek teşkil etmektedir. Bu gerekçeyle, NTS’nin geçerli seçim sistemi olarak kullanıldığı Türkiye’de seçmen davranışının yön modelinden çok yakınlık modeli ile açıklanacağını önermekteyiz. Araştırmamız Türkiye'deki dört büyük siyasi partinin, Adalet ve Kalkınma Partisi (AKP), Cumhuriyet Halk Partisi (CHP), Milliyetçi Hareket Partisi (MHP) ve Halkların Demokrasi Partisi (HDP), seçmenlerine ilişkin Karşılaştırmalı Seçim Sistemleri Araştırması (CSES) verilerini analiz etmektedir. Bağımlı ve bağımsız değişkenler arasındaki ilişkileri ortaya çıkarmak için bir dizi Çoklu Doğrusal Regresyon Analizleri yapılmıştır. Her bir seçmen için her bir siyasi partinin partiyi sevmesevmeme şeklinde ifade edilen parti kabulü, her analizde bağımlı değişken olarak ayrı ayrı kullanılmıştır. Konu mesafesi ve konu skaler çarpımı, sırasıyla yakınlık ve yön modelleri için formülleri temsil eden temel bağımsız değişkenler olarak kullanılmıştır. Ayrıca eğitim, yaş, cinsiyet ve gelir de klasik kontrol değişkenleri olarak alınmıştır. İstatistiki modellerin açıklama güçlerinin karşılaştırması, MacDonald ve meslektaşlarının bulgularının aksine, Türkiye'de oy verme davranışını açıklamada yakınlık modelinin yön modelinden daha uygun bir araç olduğunu göstermiştir. Makro-politik bir bakış açısıyla bakıldığında bu bulgu, Westholm'un (1997) NTS’lerinde yakınlık modelinin oy verme davranışını açıklamada daha uygun bir araç olduğu önerisini doğrulamaktadır. Ancak ifade edilmelidir ki, kesin sonuçlar için çok ülkeli karşılaştırmalı analizlere ihtiyaç bulunmaktadır.
Rehabilitation of Water and Environment of The TKI - GELI/YLI Opencast Mine Lakes
(Chamber of Mining Engineers of Turkey maden@maden.org.tr, 2013) Delibalta, Mahmut Suat; Uzal, Niǧmet; https://orcid.org/0000-0002-0912-3459; AGÜ, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü; Uzal, Niğmet; 01. Abdullah Gül University; 02.03. İnşaat Mühendisliği; 02. Mühendislik Fakültesi
During the search, production and enrichment process of mining operations the air, soil, water resources and living organisms are affected adversely. In coal opencast production, with the rise of surface water and ground water level large or small ponds are composed. The most important environmental problems of these ponds are low pH (acidic characteristic) and high metal concentrations (Fe, Mn, Al, Cu, Pb, Zn etc.) of these ponds, besides the sulfide minerals containing (S04) and the waste materials. These ponds needed to be rehabilitated for is one the sustainability of natural resources. In this study, the average pH values 6.22-7.79, turbidity (NTU) 0.63-6.71, sulphate content 840-1720 mg/L, KOI 2.27-61.5mg/L and electrical conductivity 1.72 -2.71 mS/cm have been measured during the monitoring study of three different lignite opencast mine post-production lakes of the TKI -GELI and YLI. The results were evaluated within the framework of relevant laws and regulations. Analyses were performed in three-month periods. © 2014 Elsevier B.V., All rights reserved.
The Revolarization of Industrial Heritage: AGU Sumer Campus in Kayseri, Turkey
(Scuola Pitagora Editrice, 2016) Asiliskender, Burak; Baturayoglu Yoney, Nilufer; 0000-0002-4143-4214; 0000-0002-0426-5626; AGÜ, Mimarlık Fakültesi, Mimarlık Bölümü; Baturayoglu Yoney, Nilufer; Asiliskender, Burak; 01. Abdullah Gül University; 05.01. Mimarlık; 05. Mimarlık Fakültesi
The Sumerbank Textile Factory in Kayseri (1932-1935) was one of the earliest and largest industrial complexes designed and constructed following the foundation of the Turkish Republic. This was a striking ensemble of buildings with rationalist and functionalist vocabulary, which also functioned as an urban center of social and cultural modernization, providing work and cultural/recreational activities based on a secular and westernized way of life in contrast with the existing traditional society. The factory went through a number of technological changes during its production history, and was finally closed and abandoned in 1999. The site, located along the northern development corridor of the city, and its buildings soon became derelict and were vandalized. Various projects for its regeneration as a green area were not implemented. National designation followed for the site in 2003 and for the buildings in 2007. However no conservation or adaptive re-use plans were made until the allocation of the complex to Abdullah Gul University in 2012. Today the complex is being transformed into an urban university campus. The master plan dated 2014 aims to redefine the urban and socio-cultural function of the complex. The open campus concept will welcome the citizens to an architecturally preserved and restored site with a selection of new activities focusing on culture and education at different levels where the spirit and memory of place will be sustained.
Citation - WoS: 10
Self-Healing Performance of Biogranule Containing Microbial Self-Healing Concrete Under Intermittent Wet/Dry Cycles
(Gazi Univ, 2021) Ersan, Yusuf Cagatay; 0000-0003-4128-0195; AGÜ, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü; Ersan, Yusuf Cagatay; 01. Abdullah Gül University
Development of self-sensing and self-healing concrete is essential to minimize the labour-intensive monitoring and repair activities conducted for the maintenance of concrete structures. A type of self-healing concrete can be achieved by using microbial agents that induce calcium carbonate precipitation inside a concrete crack. Recently, biogranules consist of nitrate reducing microorganisms were presented as a new generation microbial healing agent and biogranule containing specimens revealed decent healing performance under completely submerged conditions. However, their performance under intermittent wetting conditions, a common case for various concrete structures, remains unknown. This study presents the self-healing performance of biogranule containing biomortar specimens under intermittent wet/dry conditions. In-house produced biogranules were incorporated into mortar specimens at a dose of 1.45% w/w cement (1.00% of bacteria w/w cement) and self-healing performance of cracked specimens were investigated under alternating wet/dry conditions for a crack width range of 50 to 600 um. Upon alternating wet/dry treatment for 4 weeks, cracks up to a 400 um crack width were effectively healed in biomortar specimens. Their water tightness regain was 44% better than control specimens due to their enhanced healing performance. Overall, non-axenic biogranules appear to be useful in development of self-healing bioconcrete for applications under spraying or intermittent wetting conditions.
Citation - Scopus: 2
Street Vendor Detection: Helping Municipalities Make Decisions With Actionable Insights
(IEEE, 2021) Agba, Hatice Nur; Tahir, Abdullah; AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü; Agba, H.N.; Tahir, A.; 01. Abdullah Gül University
Street vendors are quite common in countries across the world. By the prevalence of mobile surveillance systems, increasing demand for automatic detection of street vendors for further decisions and planning by the city administrators emerged. In this paper, an object detector is developed using a MobileNet SSD object detection algorithm to detect vendors on the street. For this study images were used, however, in the future this technique could be used for real time video footage from street cameras. Since this is the first study tackling this issue, a data set was created from scratch. The accuracy achieved by the algorithm is promising considering the size of the data set and the minimal computational power available. The goal of this research is to pave the way for more work to be done in this area and help municipalities improve their decision making process regarding street vendor activities in countries like Mexico, Pakistan, China, Turkey, etc.
Sustainable Water Management and Rehabilitation in the Mining Lakes, Ilgin-Konya, Turkey
(Agro Arge Danismanlik San ve Tic As, 2016) Delibalta, M. S.; Uzal, N.; Lermi, A.; AGÜ, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü; Uzal, Natalia E.; 01. Abdullah Gül University; 02.03. İnşaat Mühendisliği; 02. Mühendislik Fakültesi
The processes during the search, production and enrichment of mining operations naturally affects the air, soil, water resources in turn the natural environment and living organisms. In general, the environmental impact of coal opencast mining operations is much more significant than that of underground mining and mineral processing. After stripping of the material filling the holes in coal opencast production, with the rise of surface water and ground water level is composed of large or small ponds. Low pH (acidic characteristic) and high metal concentrations (Al, Ca, Mn, Fe, Cu, Zn, Pb) of these ponds, containing sulfide minerals and the waste materials, for the sustainability of natural resources is one of the biggest environmental problems. This paper is to investigate geochemical characteristics of the pond waters in the Ilgm Coal deposit area. Geochemical analyses were made by ICP-MS in waters taken from ponds in each three-month periods. Highest heavy metal contents 1839 ppb Mn and 9777 ppb Fe, the average pH values 6.49-7.81, turbidity (NTU) 0.1263.6, sulphate content 0.05-2.67 mg SO4/L, chemical oxygen demand 4-136 mg O-2/L, and electrical conductivity 285 mu S/cm4.68 mS/cm have been measured during the monitoring study of five different lignite opencast mine post-production lakes of the TKI GLI Ilgm. Analyses were performed in three-month periods. The results were evaluated within the framework of relevant laws and regulations.

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