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Conference Object Citation - WoS: 2381-D Convolutional Neural Networks for Signal Processing Applications(IEEE, 2019) Kiranyaz, Serkan; İnce, Türker; Abdeljaber, Osama; Avcı, Onur; Gabbouj, Moncef1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific ECG classification, structural health monitoring, anomaly detection in power electronics circuitry and motor-fault detection. This is an expected outcome as there are numerous advantages of using an adaptive and compact 1D CNN instead of a conventional (2D) deep counterparts. First of all, compact 1D CNNs can be efficiently trained with a limited dataset of 1D signals while the 2D deep CNNs, besides requiring 1D to 2D data transformation, usually need datasets with massive size, e.g., in the Big Data scale in order to prevent the well-known overfitting problem. 1D CNNs can directly be applied to the raw signal (e.g., current, voltage, vibration, etc.) without requiring any pre-or postprocessing such as feature extraction, selection, dimension reduction, denoising, etc. Furthermore, due to the simple and compact configuration of such adaptive 1D CNNs that perform only linear 1D convolutions (scalar multiplications and additions), a real-time and low-cost hardware implementation is feasible. This paper reviews the major signal processing applications of compact 1D CNNs with a brief theoretical background. We will present their state-of-the-art performances and conclude with focusing on some major properties.Conference Object Citation - Scopus: 3181-D Convolutional Neural Networks for Signal Processing Applications(Institute of Electrical and Electronics Engineers Inc., 2019) Kiranyaz, Serkan; İnce, Türker; Abdeljaber, O.; Avci, O.; Gabbouj, M.1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific ECG classification, structural health monitoring, anomaly detection in power electronics circuitry and motor-fault detection. This is an expected outcome as there are numerous advantages of using an adaptive and compact 1D CNN instead of a conventional (2D) deep counterparts. First of all, compact 1D CNNs can be efficiently trained with a limited dataset of 1D signals while the 2D deep CNNs, besides requiring 1D to 2D data transformation, usually need datasets with massive size, e.g., in the »Big Data» scale in order to prevent the well-known »overfitting» problem. 1D CNNs can directly be applied to the raw signal (e.g., current, voltage, vibration, etc.) without requiring any pre- or post-processing such as feature extraction, selection, dimension reduction, denoising, etc. Furthermore, due to the simple and compact configuration of such adaptive 1D CNNs that perform only linear 1D convolutions (scalar multiplications and additions), a real-time and low-cost hardware implementation is feasible. This paper reviews the major signal processing applications of compact 1D CNNs with a brief theoretical background. We will present their state-of-the-art performances and conclude with focusing on some major properties. Keywords - 1-D CNNs, Biomedical Signal Processing, SHM. © 2019 IEEE.Article 16. Yüzyıl Giysi Tarihi Yazımı Üzerine: Giysilerde Doğu-batı Etkileşimi, Egzotizm ve Güç(2013) Er, Fehmiye DilekModa tarihinde batılı-olmayan giysilerin sunum ve dekorasyonları her zaman fantastik, büyüleyici, epik, dikkat çekici, egzotik, ruhani, zamansız ve değişmez gibi sözlerle ifade edilmiştir. Doğulu giysiler ve görünümler üzerindeki bu yaklaşım batılı anlayışın diğer kültürler üzerindeki yüceliğini, farklılığını ve gücünü gösterme arzusuyla yakından ilişkilidir. 19. yüzyıldan başlamak suretiyle doğunun dikkat çekici sunumları, batı giysi tarihinde batılı olmayan giysilerdeki teknik ustalıklar ve bu giysilerdeki özgün motifler egzotik olarak değerlendirilmiştir. Bu amaçla hem giysi tarihi hem de modern moda tarihi yazımında doğunun her zaman egzotik, primitif, öteki ve otantik olma noktasında bir söylem söz konusu olmuştur. Özellikle 16. yüzyıl Osmanlı İmparatorluğu?na ait egzotik giysiler ve kumaş teknikleri aynı dönem Avrupa modasına yoğun bir şekilde adapte edilirken giysiler ihtişamın ve gücün de bir göstergesi olmuşlardır. Bu çalışmada giysi tarihi açısından Osmanlı İmparatorluğu?nun en gösterişli dönemlerinden biri olan 16. yüzyılda giyilen Avrupalı giysilerinde Osmanlı giysi kültürünün izleri, egzotizm kavramı çerçevesinden incelenecektir. Bu çalışmada batılı giysilerdeki egzotik gösterimler aracılığı ile okumalar yapılırken, “egzotizm” kavramı, batıya ait olmayanı anlatma noktasında ele alınacaktır. Çalışma gücün kullanımı ve ihtişamın anlatımı olarak kullanılan lüks kumaşlardan üretilen egzotik giysi ve aksesuarları,16. yüzyılda Osmanlı İmparatorluğu?nda kullanılan giysilerin aynı dönem Avrupa modasına adapte edilme biçimlerini de içerecektir.Article 1946-1949 Dönemi Basınına Toplu Bakış*(2015) Akan, AysunTek Parti iktidarı boyunca siyasal iktidarın sıkı kontrolünde olan basın demokrasiye geçiş dönemi olarak adlandırılan 1946-1949 yıllarında, yasalarda yapılan değişiklerden dolayı rahatlamış ve yeni oluşan siyasal ortamda siyasal mücadelenin bir alanı haline gelmiştir. Anı- lan dönemde yayınlanmaya başlayan gazete ve dergilerin ağırlıklı olarak siyasal içerikli olması basının varolan siyasal çeşitliliği yansıtma konusunda etkili olduğunu göstermektedir. Ancak aynı dönemde sanat, edebiyat ve kültür ile ekonomi, ticari ve sanayi alanlarındaki yayınların sınırlılığı ülkenin sosyal, ekonomik ve kültürel gelişmişlik seviyesinin bir göstergesidir.Article 1950-1960 Yıllarında Türkiye ile Sovyetler Birliği Arasındaki İlişkiler(2014) Kurban, VefaTürkiye ile Sovyetler Birliği arasındaki ilk temasların Mustafa Kemal Paşa’nın 26 Nisan 1920 tarihinde Lenin’e yazdığı mektupla başladığı söylenebilir ve bu dönem iyi komşuluk ve dostluk ilişkileriyle tanımlanabilir. Mustafa Kemal Paşa’nın vefatı, İkinci Dünya Savaşı’nın başlaması, Stalin’in Türkiye’den toprak talebi ve Boğazlar rejiminde değişiklik talepleri, ayrıca Soğuk Savaş’ın da etkisiyle iki ülke arasındaki ilişkiler farklı boyut kazanmıştır. 1950’li yılların başlarındaki Türk dış siyasetinin esas prensiplerini, bazı Sovyet araştırmacıları, anti-komünizm ve Sovyet karşıtlığı olarak görmekte ve bu durumu eleştirmektedirler. Stalin’in ölümünden sonra Sovyetler Birliği’nin Türkiye’den bundan böyle toprak talebinde bulunmayacağını resmi bir şekilde bildirmesinin yanında, Sovyetler Birliği ile ticari anlaşmalar imzalaması, Türk ve Sovyet siyasileri arasındaki ilişkiler, karşılıklı ziyaret planları Amerika’nın da dikkatinden kaçmamıştır.Conference Object A 2-Hop Coloring-Based Collision Free Infrastructure Design for Wireless Sensor Networks(Institute of Electrical and Electronics Engineers Inc., 2016) Korkmaz I.; Dagdeviren O.; Dalkilic M.E.This paper mainly proposes a design for a communication infrastructure for Wireless Sensor Networks. The proposed design prevents message collisions by arranging the time schedules to send, receive, forward and overhear packets of the nodes considering 2-hop graph coloring mechanism. The system aims to exclude the compromised nodes in the network using the overhearing mechanism, and copes with recovering the paths of the legitimate nodes using multipath redundancy. The proposed scheduling-based and overhearing supported infrastructure brings the advantage of providing the Sensor Networks with both reliable communication using backup paths and energy conservation by preventing the collisions. © 2016 IEEE.Article 2011-2013 Constitution-Making Process and Media Field in Turkey(2019) Akın, Altuğ; Yaman Akyar, BurcuThis paper examines so-called “Constitutional Process” which took place between 2011 and 2013 in Turkey to eventually fail after more than two years of intense work and rise of expectations both in Turkish society and international community from the perspective of media and communications. How Turkish media influenced the constitution making process including workings of Constitutional Conciliation Commission is discussed, surveying relevant media content or performance with a particular focus on the political economy of Turkish media during that period. Traditional media outlets such as newspapers and television channels, and nowadays largely digital platforms, function as present-day agoras where political agenda is determined and contested. These online and offline channels have different levels of influence on discussions of the political elite, as presented extensively in media and communication studies. Together with the global media environment, national media foster the emergence of its own elites, while maintaining multi-layered relationships with high-level political decision-making processes. Media channels therefore bear symbolic powers that impact political policymaking by employing methods such as agenda setting and framing. In this line of thought, this article approaches Turkish media space as a specific field while its content and its political economy are examined in relation with the constitution making process to reveal the role played by media during highly politicized processes, such as constitution making, as well as eliciting the dynamics that herald such media performance.Article 24 Saatlik İdrarda Protein Atılımının Tanılayıcı Kullanımı ve Advers Perinatal Sonuçlar ile Doğum Zamanı için Protein-kreatinin Oranı(2021) Gölbaşı, Hakan; Ömeroğlu, İbrahim; Dereli Akdeniz, Didem; Ekin, Atalay; Gölbaşı, CerenAmaç: Çal›flmam›zda, proteinürisi olan veya olmayan hipertansif gebelerde perinatal ve neonatal sonuçlar› de¤erlendirmeyi amaçla- d›k. Spot üriner protein ile kreatinin oran›n›n (P/C) ve 24-saatlik protein at›l›m›n›n sonuçlar üzerindeki prediktivitesini karfl›laflt›r- d›k. Yöntem: Gebeli¤in 20. ve 37. haftalar› aras›nda yeni hipertansiyon tan›s› alm›fl 230 gebe retrospektif olarak çal›flmaya dahil edildi. Al›- nan 24 saatlik idrar ve P/C ile belirlenen protein seviyesine göre hastalar iki gruba ayr›ld›. Proteinüri varl›¤› ve seviyesi, P/C oran›y- la olan iliflkisi ve bu bulgular ile perinatal sonuçlar aras›ndaki iliflki de¤erlendirildi. Bulgular: Do¤um esnas›ndaki gestasyonel yafl ve gecikme dönemi (hipertansiyon tan›s› ile do¤um aras›ndaki süre), ?300 mg/24 saat ve P/C ?0.3 de¤erlerine sahip gebelerde anlaml› flekilde daha er- kendi. Advers neonatal sonuçlar, proteinürisi ?300 mg/24 saat ve P/C?0.3 olan hastalarda anlaml›yd›. 24 saatlik idrarda üriner pro- tein seviyeleri, P/C ?0.3 de¤erine sahip gebelerde anlaml› flekilde daha yüksekti ve 24 saatlik proteinüri ile P/C aras›nda anlaml› fle- kilde pozitif bir korelasyon bulundu (r=0.382, p<0.001). Sonuç: Çal›flmam›z, hipertansif gebelerde 24 saatte ?300 mg’lik bir protein kayb› ve spot idrarda ?0.3’lük bir P/C oran›n›n advers perinatal sonuçlarla iliflkili oldu¤unu ortaya koymufltur. Ayr›ca, hi- pertansif gebelerde ?300 mg/gün seviyesinde proteinürinin ve ?0.3’lük spot idrar P/C oran›n›n bu gebeleri erken do¤um riskine e¤ilimli k›ld›¤›n› tespit ettik.Conference Object 3D dendritic spine segmentation using nonparametric shape priors(Institute of Electrical and Electronics Engineers Inc., 2017) Bocugoz E.; Erdil E.; Argunsah A.O.; Unay D.; Cetin M.Analyzing morphological and structural changes of dendritic spines in 2-photon microscopy images in time is important for neuroscience researchers. Correct segmentation of dendritic spines is an important step of developing robust and reliable automatic tools for such analysis. In this paper, we propose an approach for segmentation of 3D dendritic spines using nonparametric shape priors. The proposed method learns the prior distribution of shapes through Parzen density estimation on the training set of shapes. Then, the posterior distribution of shapes is obtained by combining the learned prior distribution with a data term in a Bayesian framework. Finally, the segmentation result that maximizes the posterior is found using active contours. Experimental results demonstrate that using nonparametric shape priors leads to better 3D dendritic spine segmentation results. © 2017 IEEE.Conference Object Citation - Scopus: 33d Printing With Bacterial Cellulose-Based Bioactive Composites for Design Applications(Education and research in Computer Aided Architectural Design in Europe, 2022) Turhan G.D.; Afsar S.; Ozel B.; Doyuran A.; Varinlioglu G.; Bengisu, MuratThe bacterial cellulose (BC) biofilms are explored in design applications as replacements to petroleum-based materials in order to overcome the irreversible effects of the Anthropocene. Unlike biomaterials, designers as mediators could collaborate with bioactive polymers as a form of wetware to manufacture living design products with the aid of novel developments in biology and engineering. Past and ongoing experiments in the literature show that BC has a strong nanofibril structure that provides adhesion for attachment to plant cellulose-based networks and it could grow on the surfaces of the desired geometry thanks to its inherited, yet, controllable bio-intelligence. This research explores BC-based bioactive composites as wetware within the context of digital fabrication in which the methodology involves distinct, yet integrated, three main stages: Digital design and G-code generation (software stage); BC cultivation and printable bioactive composite formulation (wetware stage); digital fabrication with a customized 3D printer (hardware stage). The results have shown that the interaction of BC and plant-based cellulose fibers ofjute yarns has enhanced the structural load-bearing capacity of the form against compressive forces, while pure BC is known only by its tensile strength. Since the outcomes were fabricated with the use of a bioactive material, the degradation process also adds a fourth dimension: Time, by which the research findings could further establish a bio-upcycling process of wastes towards biosynthesis of valuable products. Moreover, developing a BC-based bioactive filament indicates potentially a feasible next step in the evolution of multiscale perspectives on the growth of habitable living structures that could reinforce the interaction between nature and architecture through collaboration with software, hardware, and wetware in innovative and sustainable ways. © 2022, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.Conference Object 3d Printing With Bacterial Cellulose-Based Bioactive Composites for Design Applications(Ecaade-education & research computer aided architectural design europe, 2022) Turhan, Gözde Damla; Afşar, Seçil; Özel, Berfin; Doyuran, Aslıhan; Varinlioglu, Güzden; Bengisu, MuratThe bacterial cellulose (BC) biofilms are explored in design applications as replacements to petroleum-based materials in order to overcome the irreversible effects of the Anthropocene. Unlike biomaterials, designers as mediators could collaborate with bioactive polymers as a form of wetware to manufacture living design products with the aid of novel developments in biology and engineering. Past and ongoing experiments in the literature show that BC has a strong nanofibril structure that provides adhesion for attachment to plant cellulose-based networks and it could grow on the surfaces of the desired geometry thanks to its inherited, yet, controllable bio-intelligence. This research explores BC-based bioactive composites as wetware within the context of digital fabrication in which the methodology involves distinct, yet integrated, three main stages: Digital design and G-code generation (software stage); BC cultivation and printable bioactive composite formulation (wetware stage); digital fabrication with a customized 3D printer (hardware stage). The results have shown that the interaction of BC and plant-based cellulose fibers of jute yarns has enhanced the structural load-bearing capacity of the form against compressive forces, while pure BC is known only by its tensile strength. Since the outcomes were fabricated with the use of a bioactive material, the degradation process also adds a fourth dimension: Time, by which the research findings could further establish a bio-upcycling process of wastes towards biosynthesis of valuable products. Moreover, developing a BC-based bioactive filament indicates potentially a feasible next step in the evolution of multiscale perspectives on the growth of habitable living structures that could reinforce the interaction between nature and architecture through collaboration with software, hardware, and wetware in innovative and sustainable ways.Article 4483 Sayılı Kanun Uyarınca İtiraz Merciinin "İdari" Niteliği Sorunu(2024) Karahan, BarışMemurlar ve diğer kamu görevlilerinin yargılanması konusunda genel kanun niteliği taşıyan 4483 sayılı Memurlar ve Diğer Kamu Görevlilerinin Yargılanması Hakkında Kanun bu kişilerin görevleri sebebiyle işlediği suçların soruşturulmasını kural olarak izne tabi tutmaktadır. İzin vermeye yetkili makam anlamına gelen yetkili merci kararlarının yine “idari” nitelikte olacağı öngörülen itiraz merci kararıyla inceleneceği öngörülmüştür. İtiraz merci eldeki işin bir dava, kendisinin de bir mahkeme olmadığını birçok kararında vurgulamakta ve yaptığı incelemelerde 2577 sayılı İdari Yargılama Usulü Kanununu uygulamayarak bunu teyit etmektedir. Bununla birlikte temel hak ve özgürlüklerin korunması amacı ağır bastığında bu yaklaşımdan sapıldığı görülebilmektedir. Bu çalışmada temel hak ve özgürlüklerin korunması amacı ağır bastığında itiraz merciinin “idari” niteliğinin sürdürülüp sürdürülemeyeceği tartışılmaktadır.Article Aa7475-t7351 ve Aa2219-t851 Alaşımlarının Frezelenmesinde Kesici Takım Kaplamalarının ve Kesme Parametrelerinin Yüzey Pürüzlülüğü Üzerine Etkisinin Deneysel Olarak İncelenmesi(2024) Gençalp Irizalp, Simge; Karaoğlu, Handenur; Erçayhan, Yiğit; Akgün Kayral, SeldaBu çalışmada AA 2219-T851 ve AA 7475-T7351 alaşımlarının frezelenmesinde kesme hızı (500, 600, 700m/dk), ilerleme miktarı (0,1 ve 0,15 mm/diş) ve talaş derinliği (1 ve 8 mm) değişkenleri kullanılmış ve kaplamasız tungsten karbür (WC) kesici uç ve zirkanyum nitrür (ZrN) kaplamalı kesici uç kullanılarak kesme parametrelerinin yüzey pürüzlülüğü üzerindeki etkileri incelenmiştir. Deneyler sonucunda en ideal yüzey kalitesinin elde edildiği kesme hızı, ilerleme miktarı, talaş derinliği ve kesici uç belirlenmiştir. Sonuç olarak, iki farklı mekanik dayanıma sahip alüminyum alaşımının yüzey sonuçları karşılaştırılıp optimum işleme değerleri bulunmuştur. En düşük yüzey pürüzlülüğü 700 mm/dk kesme hızı, 0,1 mm/diş ve 1 mm ilerleme miktarı parametrelerinde elde edilmiş ve ilerleme hızı arttıkça yüzey kalitesinin artmasının yanında ZrN kaplamalı kesici uç kullanılması ile daha iyi yüzey özelliklerine ulaşılmıştır.Review An Abbreviated History of Liver Transplantation(Wolters Kluwer Medknow Publications, 2024) Schilsky, M.L.; Emre, S.H.[No abstract available]Conference Object Citation - WoS: 9Citation - Scopus: 17Abnormal Ecg Beat Detection Based on Convolutional Neural Networks(Institute of Electrical and Electronics Engineers Inc., 2020) Ozdemir M.A.; Guren O.; Cura O.K.; Akan A.; Onan A.The heart is the most critical organ for the sustainability of life. Arrhythmia is any irregularity of heart rate that causes an abnormality in your heart rhythm. Clinical analysis of Electrocardiogram (ECG) signals is not enough to quickly identify abnormalities in the heart rhythm. This paper proposes a deep learning method for the accurate detection of abnormal and normal heartbeats based on 2-D Convolutional Neural Network (CNN) architecture. Two channels of ECG signals were obtained from the MIT-BIH arrhythmia dataset. Each ECG signal is segmented into heartbeats, and each heartbeat is transformed into a 2-D grayscale heartbeat image as an input for CNN structure. Due to the success of image recognition, CNN architecture is utilized for binary classification of the 2-D image matrix. In this study, the effect of different CNN architectures is compared based on the classification rate. The accuracies of training and test data are found as 100.00% and 99.10%, respectively for the best CNN model. Experimental results demonstrate that CNN with ECG image representation yields the highest success rate for the binary classification of ECG beats compared to the traditional machine learning methods, and one-dimensional deep learning classifiers. © 2020 IEEE.Article Absence of Costal Element of the Foramen Transversarium of Atlas Vertebrae: a Case Report(2018) Hayran, Mürvet; Yonguç, Gökşin Nilüfer; Baylan, HüseyinWe detected an atlas vertebra of which costal elements of its foramen transversarium were not developed bilaterally. The costal elementis an arch of bone that form the anterior portion of foramen transversarium. The vertebral arteries running towards cranial cavity aresurrounded and protected by foramina transversarium of upper six cervical vertebrae. Surgeons should be aware of this variation beforeoperations to neck region, because the vertebral arteries may easily be injured due to lack of anterior bony protection of the costalelements. As well as the vertebral artery, the nerve plexus around vertebral artery may also be responsible of some complications due tofailure of this bony protection.Article Citation - WoS: 1Citation - Scopus: 1Abstinence-Related Motivational Engagement Scale: Validity and Reliability in Turkish People(Bilimsel Tip Publishing House, 2018) Yavan, Tulay; Gulesen, Asli; Bebis, HaticeOBJECTIVES: This research aimed to conduct a validity and reliability study of the Turkish version of the abstinence-related motivational engagement (ARME) scale. MATERIALS AND METHODS: This study included 122 people and was administered in a smoking cessation clinic. The sociodemographic-smoking status characteristics questionnaire and the ARME scale were used for data collection. A psycholinguistic language adaptation was performed. In the validity, analyses, content, construct, and criterion-related validities were used. For content validity, expert evaluation was performed. For construct validity, principal component analyses (exploratory factor analyses) were performed. Orthogonal (Varimax) rotation was used to explore multiple factors. The Kaiser-Meyer-Olkin test was used to assess the adequacy of the sample size. For criterion-related validity, we compared the ARME scale points of people who were abstinent and had relapse for smoking at the end of the sixth month. In the reliability analysis, standard deviation (SD) and item analysis, internal consistency, and test-retest methods were used. RESULTS: The four factors explain 58% of the total variance. Items have factor loading between 0.409 and 0.805. When the factor structure of the scale was assessed, the items in each factor group have a factor load of at least 0.40. Due to one-dimensional use of the original scale, it has been decided to maintain this scale in its original form. The ARME scale points of people who quit smoking were statistically higher than the points of people who had relapse at the end of the sixth month. Cronbach's alpha coefficients were between 0.846 and 0.763. Significant and positive correlation was found between the test-retest scale scores. CONCLUSION: The Turkish adaptation of the ARME scale, which was developed for adults who quitted smoking, is an adequately valid and reliable measurement instrument. It is considered that the scale might be used reliably in different cultures as well.Conference Object Citation - Scopus: 1Academic Performance Management Policy for Changing Roles of Universities in Innovation Systems(Institute of Electrical and Electronics Engineers Inc., 2017) Ozcan S.; Ozyazici M.S.; Ozerdem M.B.The purpose of this study is to establish a new performance measurement method for academic actors for their changing roles in innovation systems. The widely accepted triple helix and systems of innovation models show changing and overlapping roles of academic, industrial and governmental actors. In previous innovation systems, universities were not focused on applied research and technology transfer as much as they are now. Current literature shows a changing role of universities and importance of their involvement in innovation systems. Although academic organizations' roles have changed in innovation systems, academic performance measurement systems (APMS) are not adapted to examine innovation related performance factors. Many APMS focus on key performance indicators (KPIs) such as; publications, research projects and patents. However, the new APMS needs to assess the activities and processes that are related to innovation, such as; technology transfer processes, collaborative innovation activities, consultancies and academic spin-offs. For this study a new APMS is applied according to the needs of universities by using a synthetic data based on an engineering department's KPIs. APMS scores are calculated based on the cumulative metric of all research and innovation activities and, weighted according to the needs and considerations of the university. The results of this study show that many of those academicians who have great performance in publications and academic research do not necessarily have high-level performance in innovative activities. In fact the results show that those who had high points in some measurements have very low performance in others. For the management point of view, it may be more effective to position academicians for different roles and assess their performance accordingly as innovation-targeted, teaching-targeted and research-targeted academicians. © 2016 Portland International Conference on Management of Engineering and Technology, Inc.Book Part Accounting for digital products(IGI Global, 2010) Karaibrahimo?lu Y.Z.Digital products are "content" goods such as software, books, music, or movies which can be digitized and traded on a digital market place. With the increase in trade and ownership of digital products, several important management issues have arisen. Accounting treatment for digital products is one important management issue. It is argued that digital products require regulations in terms of recognition, measurement, valuation, reporting and taxation. Therefore, the purpose of this chapter is to discuss the accounting problems that arise as a result of the growing importance of digital products in the business environment and to propose suggestions based on the accounting concepts and standards. For this purpose, first, the increasing importance of digital products is briefly explained. Then, the challenge created as a result of expanding trading volume of digital products are discussed in terms of accounting with suggestions for the appropriate accounting for digital products. © 2011, IGI Global.Conference Object Accurate Dictionary Matching for Mr Fingerprinting Using Neural Networks and Feature Extraction(Institute of Electrical and Electronics Engineers Inc., 2020) Soyak R.; Ersoy E.O.; Navruz E.; Fakultesi M.; Unay D.; Oksuz I.Magnetic Resonance Fingerprinting is a recent technique which aims at providing simultaneous measurements of multiple parameters. MRF works by varying acquisition parameters in a pseudorandom manner so as to get unique, uncorrelated signal evolutions from each tissue. MRF is a dictionary based approach, and thus requires a database. This database can be created by simulating the signal evolutions from first principles using different physical models for a wide variety of tissue parameter combinations. Having this dictionary, a pattern recognition algorithm is used to match the acquired signal evolutions from each voxel with each signal evolution in the dictionary. In this paper, we compare the efficiency of deep learning based feature extraction method and neural network architectures in order to achieve state-of-the-art accuracy in dictionary matching for MRF. Our results showcase successful dictionary matching with high accuracy both quantitatively and qualitatively. © 2020 IEEE.
