Browsing by Author "Zhaparov M.K."

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    Learning QML
    (Suleyman Demirel University, 2015) Zhaparov M.K.
    Methodical-educational manual « Learning QML» is designed for bachelors of specialties 5В030000 — “Information Systems” and 5В040000 — “Computing Systems and Software”. QML (Qt Meta Language или Qt Modeling Language) — декларативный язык программирования, в основании которого лежит среда JavaScript. QML используется для разработки приложений, делающих основной упор на пользовательский интерфейс и, в целом, на дизайн графической части. Является частью Qt Quick, среды разработки пользовательского интерфейса, распространяемой вместе с Qt. Часто используется для создания приложений, ориентированных на мобильные устройства с сенсорным управлением. QML-документ представляет собой дерево элементов. QML элемент, так же, как и элемент Qt, представляет собой совокупность блоков: графических (таких, как rectangle, image) и поведенческих (таких, как state, transition, animation). Эти элементы могут быть объединены, чтобы построить комплексные компоненты, начиная от простых кнопок и ползунков и заканчивая полноценными приложениями, работающими с интернетом.
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    METHODOLOGY FOR ESTIMATING PASSWORD STRENGTH AGAINST GUESSING ATTACKS
    (Suleyman Demirel University, 2014) Zhaparov M.K.; Akhmet K.M.
    The paper investigates the required password strength from the password guessing attacks (online and offline collection of passwords). And also considered an alternate system of protection against offline attacks are not based on the strength of your password. Consider the use of password policies for users who are from the community against the safety of attacks on passwords.
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    Microlearning in Programming Language C++
    (Suleyman Demirel University, 2015) Zhaparov M.K.
    Methodical-educational manual « Microlearning in Programming Language C++» is designed for bachelors of specialties 5В030000 — “Information Systems” and 5В040000 — “Computing Systems and Software”. When we use the principles of Microlearning approach in our everyday life, we actually do not think about it. This book was prepared for students, who wants to learn C++ programming language by using these Microlearning principles that can be easily observed in daily life.
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    PARAMETERS OPTIMIZATION OF DECISION TREE AND KNN ALGORITHMS FOR BREAST CANCER PREDICTION
    (СДУ хабаршысы - 2017, 2017) Meraliyev M.M. ; Orynbekova K.Ye. ; Hasanov D. ; Zhaparov M.K.
    Abstract. Throughout the 20th century, views about breast cancer have drastically changed. Breast cancer is the most common cancer in women worldwide, with nearly 1.7 million new cases diagnosed in 2012. This type of cancer is the second most common cancer overall. There is lot of information and data, which give opportunity for analyzing some processes, make some researches in classification and in data mining fields, test some tools of machine learning and make experiments for tuning main methods of supervised learning. Main part of project is creating useful tool for predicting breast cancer with high accuracy before getting ill or in initial stage of disease. This work is fascinating because the goal is to implement a lot of tools for creating web system, which can make effective prediction analysis. In other word, we can anticipate the future for women diseases.
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    VR SOFTWARE FOR AUTOMATED CONTROL SYSTEMS
    (SDU University, 2017) Zhaparov M.K. ; Nassen Y.
    Abstract. Nowadays, we can not imagine our life without a smartphones, tablets and computer. They help us in getting information, communicating with friends and spend time with benefits. Heads of companies producing smartphones, tablets and computers are leading the list of most influential people on the planet. Since XXI century - the century of information technology. And training using these technologies is the most common way. A virtual reality is gaining more popularity in this field. But very little training and software applications associated with virtual reality. This article discusses the 3D training program for employees of APCS (automatic technical production management system) in the VR format. With this program, employees, new employees, and ordinary users can get to know the system and the process control sensors and how they work.