There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

Data Mining Practical Machine Learning Tools and Techniques

Pattern recognition

Doppler Optical Coherence Tomography

Computer-aided diagnosis of diabetic retinopathy: A review

Diabetic retinopathy (DR) is a sight threatening complication due to diabetes mellitus that affects the retina. In this article, a computerised DR grading system, which digitally analyses retinal fundus image, is used to measure foveal avascular zone. A v-fold cross-validation method is applied to the FINDeRS database to evaluate the performance of the DR system. It is shown that the system achieved sensitivity of >84%, specificity of >97% and accuracy of >95% for all DR stages. At high values of sensitivity (>95%), specificity (>97%) and accuracy (>98%) obtained for No DR and severe NPDR/PDR stages, the computerised DR grading system is suitable for early detection of DR and for effective treatment of severe cases.

Analysis of retinal fundus images for grading of diabetic retinopathy severity

Multiple layer data hiding scheme based on difference expansion of quad

Malaria is caused by Plasmodium parasites that are able to invade human red blood cell Many researches have focused on improving the accuracy of the diagnosis Image processing method is able to increase results of malaria parasite cell detection This paper is developed based on the image processing technique to detect three stages of Plasmodium parasites while in human host, ie trophozoite, schizont, and gametocyte plasmodium falciparum Feature extraction based on histogram-based texture is used to extract feature parasite cell Multilayer perceptron backpropagation algorithm is used to classify all features The results show that the proposed method achieves accuracy of 878%, sensitivity of 817%, and specificity of 908% for detecting infected red blood cells thus improving decision-making for malaria diagnosis

Feature extraction and classification for detection malaria parasites in thin blood smear

Muscle fatigue compensation of the electromyography signal for elbow joint angle estimation using adaptive feature

In the internet age, the security of data exchange becomes risky from some tapping attacks. One of the ways to maintain the data's security is by using steganography techniques. In this paper, steganography is combined with cryptography for security enhancement. The cover media is mp3 audio file. Since mp3 is a file that has been widely used in the Internet as a medium of entertainment, the secret message has been embedded to the homogenous frame of mp3 file. Before being embedded into the mp3 file, the secret message was encrypted with Advance Encryption Standard (AES) algorithm using a key that had been processed by Message Digest 5 (MD5) hash function. The secret message file type inserted could be in the form of text, image, audio, video, or compressed file. The result shows that the steganographic capacity does not depend on the size of mp3 but on the number of homogeneous frames owned by mp3 audio file. The result also shows that the method which combined steganography and cryptography, was successfully done without reducing the quality of used mp3 audio file.

Hanung Adi Nugroho

Papers

Analysis of retinal fundus images for grading of diabetic retinopathy severity

Multiple layer data hiding scheme based on difference expansion of quad

Feature extraction and classification for detection malaria parasites in thin blood smear

Muscle fatigue compensation of the electromyography signal for elbow joint angle estimation using adaptive feature

Increasing the security of mp3 steganography using AES Encryption and MD5 hash function