2016 International Conference on Computing, Communication and Automation (ICCCA), 2016
We have entered in data deluge already. Data Deluge means data generated by IoT devices and human... more We have entered in data deluge already. Data Deluge means data generated by IoT devices and humans simultaneously. The data deluge is a Big threat for technologist but beneficial for end users. Now the coming problem is the security of this data. Big Data is too big, too fast and too diverse that does not compile with traditional data base system. Traditional data base systems are very good to analyze structured data but these systems are not enough to analyze unstructured data. In this paper we discourse the possible challenges and security issues related to Big Data characteristics and possible solutions.
Kurdish language is an agglutinative language. Currently, in Kurdistan all legal paperwork is wri... more Kurdish language is an agglutinative language. Currently, in Kurdistan all legal paperwork is written in Kurdish using word processors. Spelling is an important aspect of language writing. Poor spelling can be interfering with communication between the writer and the reader. Unfortunately, current word processors lack the existence of built-in spell checkers for every language. Individual nations create their own customized dictionaries and add them to the word processors for error correction. Presently, the Kurdish language lacks a reliable spell checker. This imperfection needs to be resolved. Overcoming this problem by this study will flourish the Kurdish writing and helps word spelling standardization. This paper proposes an algorithm to design and build a reliable and comprehensive Kurdish spell checker that can be used by the public in Kurdistan. The algorithm identifies the misspelled words in the language and suggests one or more alternative words as the correct spelling. The spell checker was implemented in C# and as a. Net standard library, so it can be integrated into popular word processing applications. The performance and accuracy of the algorithm has been approved by experimental results.
In medical imaging, automated defect identification of defects has taken on a prominent position.... more In medical imaging, automated defect identification of defects has taken on a prominent position. Unaided prediction of tumor (brain) recognition in magnetic resonance imaging process (MRI) is vital for patient preparation. With traditional methods of identifying z is designed to reduce the burden on radiologists. One of the problems with MRI brain tumor diagnosis is the size and variation of their molecular structures. This article uses deep learning techniques (Artificial neural network ANN, Naive Bayes NB, Multi-layer Perceptron MLP ) to discover brain tumors in the MRI scans. First, the brain MRI images are run through the preprocessing steps to remove texture features. Next, these features are used to train a machine learning algorithm
2016 International Conference on Computing, Communication and Automation (ICCCA), 2016
We have entered in data deluge already. Data Deluge means data generated by IoT devices and human... more We have entered in data deluge already. Data Deluge means data generated by IoT devices and humans simultaneously. The data deluge is a Big threat for technologist but beneficial for end users. Now the coming problem is the security of this data. Big Data is too big, too fast and too diverse that does not compile with traditional data base system. Traditional data base systems are very good to analyze structured data but these systems are not enough to analyze unstructured data. In this paper we discourse the possible challenges and security issues related to Big Data characteristics and possible solutions.
Kurdish language is an agglutinative language. Currently, in Kurdistan all legal paperwork is wri... more Kurdish language is an agglutinative language. Currently, in Kurdistan all legal paperwork is written in Kurdish using word processors. Spelling is an important aspect of language writing. Poor spelling can be interfering with communication between the writer and the reader. Unfortunately, current word processors lack the existence of built-in spell checkers for every language. Individual nations create their own customized dictionaries and add them to the word processors for error correction. Presently, the Kurdish language lacks a reliable spell checker. This imperfection needs to be resolved. Overcoming this problem by this study will flourish the Kurdish writing and helps word spelling standardization. This paper proposes an algorithm to design and build a reliable and comprehensive Kurdish spell checker that can be used by the public in Kurdistan. The algorithm identifies the misspelled words in the language and suggests one or more alternative words as the correct spelling. The spell checker was implemented in C# and as a. Net standard library, so it can be integrated into popular word processing applications. The performance and accuracy of the algorithm has been approved by experimental results.
In medical imaging, automated defect identification of defects has taken on a prominent position.... more In medical imaging, automated defect identification of defects has taken on a prominent position. Unaided prediction of tumor (brain) recognition in magnetic resonance imaging process (MRI) is vital for patient preparation. With traditional methods of identifying z is designed to reduce the burden on radiologists. One of the problems with MRI brain tumor diagnosis is the size and variation of their molecular structures. This article uses deep learning techniques (Artificial neural network ANN, Naive Bayes NB, Multi-layer Perceptron MLP ) to discover brain tumors in the MRI scans. First, the brain MRI images are run through the preprocessing steps to remove texture features. Next, these features are used to train a machine learning algorithm
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