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Öğe Biyometrik doğrulama tabanlı seçim sistemi(Selçuk Üniversitesi Teknik Bilimler Meslek Yüksekokulu, 2009) Bilgin, Metin; Altun, Adem Alpaslan; Işık, Hakan; Sungur, CemilGeleneksel yöntemler kullanılarak sandık başında yapılan seçimler, uzun hazırlık süreçleri, hatalı veya sahte oy kullanımı, oy sayımında ortaya çıkabilecek hatalar, uzun sayım süreçleri ve maliyetlerinin yüksek olması gibi olumsuzluklar içermektedir. Ülke ekonomisini ve politikasını doğrudan etkileyen bu olumsuz durumları ortadan kaldırmak için mevcut sistemi elektronik ortama taşımak artık bir zorunluluktur. Bu çalışmada mevcut seçim sistemimiz incelenmiş ve aynı işlevleri daha etkin bir şekilde yerine getiren bir biyometrik seçim sistemi geliştirilmiş ve uygulanmıştır. Ayrıca hedeflediğimiz e-seçim sisteminde güvenilirliği en yüksek seviyeye çıkarmak için biyometrik sistemler incelenmiş ve parmak izi okuyucusu kullanılmıştır. Böylece çalışma, e-seçim sistemi ile birlikte bir biyometrik sistem uygulanarak da daha zengin ve daha etkin bir hale getirilmiştir.Öğe Biyometrik seçim sistemi tasarımı ve gerçekleştirilmesi(Selçuk Üniversitesi Fen Bilimleri Enstitüsü, 2008) Bilgin, Metin; Altun, Adem AlpaslanGeleneksel yöntemler kullanılarak sandık başında yapılan seçimler,uzun hazırlık süreçleri, sahte oy kullanımı, hatalı oy kullanımı, oy sayımında ortaya çıkabilecek hatalar, uzun sayım süreçleri ve maliyetlerinin çok olması nedeniyle artık çok tercih edilmemektedir. Ülke ekonomisini ve politikasını doğrudan etkileyen bu olumsuz durumları ortadan kaldırmak için mevcut sistemi elektronik ortama taşımak artık bir zorunluluktur. Bu çalışmada mevcut seçim sistemimiz incelenmiş ve aynı işlevleri çok daha etkin bir şekilde yerine getiren bir biyometrik seçim sistemi geliştirilmiş ve uygulanmıştır. Ayrıca hedeflediğimiz e-seçim sisteminde güvenilirliği en yüksek seviyeye çıkarmak için biyometrik sistemler incelenmiş ve parmak izi okuyucusu kullanılmıştır. Böylece çalışmamız hem bir e-seçim sistemi hem de bir biyometrik sistem olarak daha zengin ve daha etkin bir hale getirilmiştir.Öğe Generation of Python syntax of Turkish verbal expressions with Deep Learning Approaches(Selçuk Üniversitesi, 2022) Bilgin, Metin; Bozdemir, MehmetIn this study, it is aimed to automatically generate the syntactic expression in the python programming language from Turkish verbal expressions. The study was carried out, especially in order to facilitate the learning of python code. It is aimed to provide a great convenience for teachers who give coding lessons in education-teaching environments. At the same time, it will provide the opportunity to learn coding quickly and easily for the students who take the course. A new approach has been proposed to achieve this aim. Verbally spoken sentences in Turkish are first translated into text. The transcription process was carried out using the "speech recognition" library in the python language. Turkish sentences translated into text are translated into English using deep learning algorithms such as Long Short Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and Gated Recurrent Unit (GRU). The Encoder-Decoder model, which includes the Sequence to sequence (Seq2seq) architecture, was used for machine translation. The EncoderDecoder model converts the sentences it receives in Turkish at the input to English at the output. The sentences translated into English are then given as input to the Generative Pre-trained Transformer-3 (GPT-3) model. The GPT-3 model is a pre-trained language model made by OpenAI. The GPT3 model generates the python code by taking the English sentence that comes to itself. This study is the first to produce a python code from Turkish verbal expressions. No study has been found on this. Although there is machine translation from one language to another, there is no study that finds the python code of a verbal expression in Turkish. This aspect constitutes the innovative side of our work. For the study to be used by end users, both web-based and windows-based applications were developed using the "Django" and "PyQt5" libraries. The Bilingual Evaluation Understudy (BLEU) metric was used to evaluate the results of the study. In the calculations, the BiLSTM model produced higher score values than the other modelsÖğe A new statistics-based approach to improve Word2Vec's sentiment classification success(Selçuk Üniversitesi, 2021) Bilgin, MetinSentiment classification is the process of predicting the emotion that the text wants to give by analyzing the written texts. Studies on estimating the emotion of a sentence or a document rather than the meaning of a word have increased in recent years. In this study, statistical approaches that can be alternative to the current use of the Word2Vec method in sentiment classification are presented. Currently, when a sentiment classification is desired to be made with Word2Vec, the arithmetic average of the vectors created for all words in the relevant document is taken. In this study, the performances of the statistical methods presented as an alternative to the arithmetic mean for 5 different machine learning methods on 2 different data sets were compared. In addition, the results obtained by performing the same studies in Doc2Vec and BoW were compared with Word2Vec. Among the proposed approaches, Median has achieved better results than both the mean and the other two proposed methods. As a reason for this, it can be said that the media shows the central distribution better. Although the Word2Vec-CBOW approach obtained similar values to SG, it was observed that it produced more stable results. Word2Vec has achieved better results than both Doc2Vec and BoW. Among the proposed statistical approaches, it can be said that Median has a positive effect on the success of the system when used with Word2Vec and can be an alternative to the mean approach used in the literature.Öğe Web based secure e-voting system with fingerprint authentication(2011) Altun, Adem Alpaslan; Bilgin, MetinThe elections that are made by using traditional methods are no longer preferred because of the long period of preparation, fake voting, faulty voting, mistakes made in counting the votes, long period of counting and high cost of voting process. In order to avoid these disadvantages affecting directly the economy and policy of the country, it is obligatory to carry the available voting system to an electronic system. In this study, an electronic voting system, E-voting for a general election is developed and fingerprint authentication based e-voting system is applied. As a result, security of the voting system is greatly improved by using biometric authentication system. © 2011 Academic Journals.
