Mohammad Fazle Rabbi

Fuzzy logic controller design for intelligent air-conditioning system

In efficient air cooling systems may cause of wasting energy in a great amount specially in the urban area. Being the most popular cooling system, air-conditioners have been used in domestic usage as well as in industrial applications. However, the unintelligent nature of such cooling system gives rise to excess energy consumption which causes a huge problem in the current energy hungry world. In this paper, we present design of a fuzzy logic controller for the intelligent air-conditioning system. The performance of the controller is also simulated. The proposed controller has the adaptive nature to control fan and compressor speed which leads to reducing power consumption. Also, the system controls the operation mode to retain the healthy oxygen level and humid condition of the indoor environment.

Fuzzy logic controller design for intelligent drilling system

An intelligent drilling system can be commercially very profitable in terms of reduction in crude material and labor involvement. The use of fuzzy logic based controller in the intelligent cutting and drilling operations has become a popular practice in the ever growing manufacturing industry. In this paper, a fuzzy logic controller has been designed to select the cutting parameter more precisely for the drilling operation. Specifically, different input criterion of machining parameters are considered such as the tool and material hardness, the diameter of drilling hole and the flow rate of cutting fluid. Unlike the existing fuzzy logic based methods, which use only two input parameters, the proposed system utilizes more input parameters to provide spindle speed and feed rate information more precisely for the intelligent drilling operation.

Time and frequency domain features of EMG signal during Islamic prayer (Salat)

Electromyography (EMG) activity of muscles can help us to assess the muscular functions during daily activity. In this paper, we investigate the EMG based assessment of the muscles situated in dorsal side of human body. Specifically, two upper and lower back muscles named as erector spinae and trapezius muscles are investigated during the body movements involved in Islamic prayer (Salat). Several time and frequency domain features of the EMG signal were examined to find the significant variation in the muscles activity. Results show that, both muscles maintain a balance in terms of contraction and relaxation during bowing and prostration position of Salat. In addition, the frequency domain features indicate that, the lumbar spine muscle exhibits contraction in each alternate position during the prayer. The finding of the study may help to develop rehabilitation program for the senior citizens suffering from back pain that restrain them to perform obligatory Salat.

Skin Color Pixel Classification for Face Detection with Hijab and Niqab

Skin color pixel classification in color spaces with respect to threshold values of color components has been widely used in face detection algorithms. Color based face detection becomes difficult when faces are covered with hijab or niqab due to effect of fabric color. Previous studies show that, a variety of color component thresholding approach has been used for skin color pixel classification in different color spaces. This article presents a comparative analysis on skin color pixel classification using RGB and YCbCr color space for hijab and niqab covering faces. Ratio of pixels of skin area to non-skin area has been used as a performance metric in the analysis. The experiment results show that, YCbCr performs better than RGB color space for hijab and niqab with fabric color dissimilar to skin tone. But RGB method outperforms YCbCr when the fabric color is close to skin tone. The findings of this study will be helpful in designing a uniform color component thresholding approach which is robust against fabric color influence.

The Effects of Rest Interval on Electromyographic Signal on Upper Limb Muscle during Contraction

In this paper, the Electromyographic (EMG) signal was investigated on the Biceps Brachii muscle during dynamic contraction with two different rest intervals between trials. The EMG signal was recorded from 10 healthy right arm-dominant young subjects during load lifting task with a standard 3-kg dumbbell for 10 seconds. Root mean square (RMS) has been used to identify the muscle function. The resting period was 2- and 5-minutes between each trial. The statistical analysis techniques included in the study were i) linear regression to examine the relationship between the EMG amplitude and the endurance time, ii) repeated measures ANOVA to assess differences among the different trials and iii) the coefficient of variation (CoV) to investigate the steadiness of the EMG activation. Results show that EMG signal is more active after 5 minutes rest period compare to 2-minutes gap. On the other hand, EMG signals were steady during 2-minutes rest (7.59%) compare to 5-minutes resting interval (16.14%). Results suggest that moderate interval between each trial is better to identify the muscle activity compare to a very short interval. The findings of this study can be used to improve the current understanding of the mechanics and muscle functions of the upper limb muscle of individuals during a contraction which may prevent from muscle fatigue.

Development of fuzzy inference system for automatic tea making

In this paper, a fuzzy inference system has been developed for automatic tea making process. The system takes five inputs and gives two output which determines the grade of black tea and milk tea. Specifically, the proposed system considers five important characteristics of hot tea beverage such as water temperature, sugar, milk, brewing time and tea leaves quantity for grading the standard of the drink according to the consumers requirement. Both black tea and milk tea can be rated with a grade based on the human expert judgment which is according to the taste and aroma of the tea. This automatic tea making system can let the users choose their preferred type of tea without figuring out the complicated process to making a cup of hot tea beverage.