R. S. S. A. Kadir

Analysis of correlation between BMI and human physical condition using resonant field imaging system (RFI)

This technical paper investigates the correlation of body mass index (BMI) and human physical condition using resonant field imaging system (RFI).The results show the state of health level of students using physiological analysis. Frequency measurement is taken for 40 students including male and female students of electrical engineering around 8 am to 6 pm. The objective is to investigate the relationship of different health condition with different BMI category such as underweight, normal, overweight and obese. Based on the results presented, it is concluded that the samples with normal BMI are generally healthier. This shows that there is a clear and direct psychosomatic connection to the area of bioenergy. It also implies that pure and high frequency electrofield energy is projected from parts of the body.

The preliminary investigation of electromagnetics radiation for the left hemisphere stroke

This study investigates human body electromagnetic radiation (EMR) for the left hemisphere stroke patients with different gender based on their rehabilitation group. The data is collected at sixteen points around the human body from 115 subjects undergoing stroke therapy. The statistical properties of human body radiation frequency are examined using SPSS software. It is found that the left hemisphere stroke patients generally have lower frequency reading on the right side of the body compared to the left side.

The comparison of human body Electromagnetic radiation between Down Syndrome and Non Down Syndrome person for brain, chakra and energy field stability score analysis

This paper present a study on the comparison of human body Electromagnetic radiation of Down Syndrome and Non Down Syndrome persons. Frequency data were recorded using human body radiation detector from 15 persons from National Association of Down Syndrome Malaysia and 15 persons from Universiti Teknologi MARA, Shah Alam with age range between 6-28 years old. The body Electromagnetic radiation was analyzed based on three analyses which are brain analysis, chakra analysis and energy field stability score analysis. The data was analyzed using software by converting the frequency into color and categorized the human aura. From these findings, Brain Analysis indicated that Non Down Syndrome persons were slightly relax and creative by 93.33% as compared to Down Syndrome persons by 80%. For Chakra Analysis, Non Down Syndrome persons are better in communication, handling stress and their mind rather than person with Down Syndrome by 80%. For the Energy Field Stability Score Analysis, results demonstrated that 26.67% of Non Down Syndrome persons having a stable personality while 20% persons for Down Syndrome persons. Additionally, 80% of Down Syndrome persons have dynamic personalities while 73.33% for Non Down Syndrome persons. By completing this research, it can be concluded that the human body radiation detector can identify the human body Electromagnetic radiation or aura between Down Syndrome and Non Down Syndrome person.

Preliminary study of human body electromagnetic radiation for stroke patients

This research presents a preliminary study of human body electromagnetic radiation (EMR) for stroke patients. The stroke patients were divided into two categories: right and left hemisphere. A total number of 199 volunteers consisting of 84 right hemisphere and 115 left hemisphere stroke patients undertaking treatment participated in this experiment. The frequency readings were collected around the human body at specific points. The statistical characteristic of human EMR was analyzed using SPSS software. The finding indicates that the left side EMR reading is higher than the right side for both categories of stroke. Furthermore, the side with no deficit has higher frequency reading.

The initial investigation of electromagnetics radiation for the right hemisphere stroke patient

This preliminary study investigates human body electromagnetic radiation (EMR) for the right hemisphere stroke patients based on their rehabilitation group which is categorized into advance, intermediate and early group. The data is collected at 16 points around the human body from 84 subjects undergoing stroke treatment. The statistical properties of human body radiation frequency are examined using SPSS software. It is found that the right hemisphere stroke patients generally have higher frequency reading on the left side of the body compared to the right side. The advance group has lower frequency radiation for both left- and right-side compared to the other two groups.

Summative EEG alpha classification relates learning style and openness

Learning Style (LS) had been drawn as one of the important domains in a learners profile. It was considered relevance to different aspects of teaching and learning such as achievement and motivation. On the other hand, Openness has been interpreted as a major trait which linked to knowledge and skill acquisition which linked to learner differences. In this research the relation between LS and Openness is studied as to underline a substantive learners profile. Kolbs Learning Style Inventory (KLSI) had been employed to determined participants (N= 131) LS of Diverger, Assimilator, Converger or Accommodator. Then, Electroencephalogram (EEG) technology was utilized to gather their brain signals. The signals dataset of Alpha band is selected, processed and classified towards the corresponding LS using SPSS 2-Step Cluster Analysis. The result shown 100% classification of brain signals towards LS achieved while Accommodator found as the LS that related to Openness.

The characteristics of human body electromagnetic radiation frequencies for stroke patients and non-stroke participants

This paper presents the characteristic of human body electromagnetic radiation (EMR) frequencies for the stroke patients and non-stroke participants. 199 subjects undergoing post-stroke treatment and 100 non-stroke participants involved in this research. The human body EMR frequencies (in MHz) is captured using frequency detector at 23 points around their body, namely left side, right side and chakra points. Data analyses were evaluated by looking at the pattern and behavior of the captured frequencies. In conclusion, the characteristic of electromagnetic radiation (EMR) frequencies vary between variables and also between two groups of samples. Higher frequency radiations are detected on the stroke patients as compare to non-stroke participants, hence supporting the assumption that the human physiological conditions influence the body EMR radiation frequencies. This observation also support that EMR from human body can contribute to early detection for stroke.

Down syndrome and non-down syndrome: Electromagnetic radiation for the physical and psychological conditions

The research reports the electromagnetic radiation for two conditions of human body which are the physical and psychological. A total of 30 samples agreed to voluntarily participate, consisting of 15 DS (DS) and 15 non-DS. A handheld equipment called frequency radiation detector was used to measure the frequency radiated from each sample. Aura interpretation software was used to analyse the data by converting the frequency measured into the 15 colour spectrum and finally converted into total score. There are three categories of the total score namely excellent, moderate and poor. The results shows that the non-DS have better physical conditions compared to DS. However, for the psychological state, the DS have higher score compared to non-DS.

Investigation of electromagnetics radiation for stroke patients and non-stroke participants

This preliminary study investigates human body electromagnetic radiation (EMR) for the stroke patients and non-stroke patients. The data in terms of frequency in hertz is collected at 23 points around the human body namely left side, right side and chakra points from 199 subjects undergoing post-stroke treatment and 100 non-stroke participants. The stroke patients were divided into two groups which are left hemisphere and right hemisphere. The statistical properties of human body radiation frequency are examined using SPSS software and Microsoft excel was used to examine the average frequency from all groups. It is found that non-stroke participants shows significantly higher EMR for left and right side frequency but lower EMR for chakra system.

Block decoding using the Dorsch Algorithm

The aim of this research is to investigate the Dorsch algorithm performance in the decoding process of binary Hamming codes. The conventional decoding method is hard decision based whereby the message of the demodulator is quantized only to two levels. An important feature of the Dorsch algorithm is that it uses soft decision decoding. Soft decision occurs if the output of the demodulator is quantized to more than two levels. The algorithm uses soft decision information to rank the reliability of the received symbols. The high reliability symbols are treated as the soft decision of the information values whereas the low reliability symbols are treated as parity checks for the information values. The error performance of both the decoding methods were evaluated and concluded. It was observed that Dorsch Algorithm produces better performance compared to the conventional hard decision decoding.