Kuryati Kipli

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In recent years, the public concern on human biological effect of mobile phone is increasing due to the widely used of mobile phones by public including the children. As a consequences, a safety guidelines have been established by the various public organization such as World Health Organization (WHO) and International Commission on Non-Ionization Radiation(More)
INTRODUCTION Depression is a major issue worldwide and is seen as a significant health problem. Stigma and patient denial, clinical experience, time limitations, and reliability of psychometrics are barriers to the clinical diagnoses of depression. Thus, the establishment of an automated system that could detect such abnormalities would assist medical(More)
Studies show that exposure to the electromagnetic wave for a certain period of time will leads to health problem such as headaches, or even worse, brain cancer. Scientist have known that this radiation might cause human biological damage through heating effects since human body is made up of approximately 65–70% water, electrolytes and ions. Radio(More)
Mobile phones produce radio frequency signal that is transferred as Electromagnetic radiation (EMR). EMR has the ability to penetrate through semi solid substances especially human body's tissues and caused dielectric heating. This effect can be classified as thermal and non thermal radiation. The skin near ear skull region is very thin compare to other(More)
To be diagnostically effective, structural magnetic resonance imaging (sMRI) must reliably distinguish a depressed person from a healthy one at individual scan level. One of the tasks in the automated diagnosis of depression from brain sMRI is the classification of samples (i.e., depressed/not depressed, remitted/not-remitted depression) based on the values(More)
PURPOSE Accurate detection of depression at an individual level using structural magnetic resonance imaging (sMRI) remains a challenge. Brain volumetric changes at a structural level appear to have importance in depression biomarkers studies. An automated algorithm is developed to select brain sMRI volumetric features for the detection of depression. (More)
This paper presents the design of power amplifier (PA) 0.18 um CMOS technology for ultra wide band (UWB) application at 3.1-10.6 GHz. This PA design is based on two-stage common source topology with resistive shunt feedback technique and output buffer to achieve flat and higher gain, wider bandwidth and better stability. The simulation results show that the(More)
Mobile communication is where signal is transferred via electromagnetic wave through radio frequency and microwave signals. This signal produced electromagnetic radiation in the form of thermal radiation that consists of harmful ionizing radiation and harmless non-ionizing radiation. When using mobile phone, electromagnetic wave is transferred to the body(More)
Brain volume changes at structural level appear to have utmost importance in depression biomarkers studies. However, these brain volumetric findings have very minimal utilization in depression detection studies at individual level. Thus, this paper presents an evaluation of volumetric features to identify the relevant/optimal features for the detection of(More)