Image enhancement and segmentation on simultaneous latent fingerprint detection

A simultaneous latent fingerprint (SLF) image consists of multi-print of individual fingerprints that is lifted from a surface, typically at the crime scenes. Due to the nature and the poor quality of latent fingerprint image, segmentation becomes an important and very challenging task. This thesis presents an algorithm to segment individual fingerprints for SLF image. The algorithm aim to separate the fingerprint region of interest from image background, which identifies the distal phalanx portion of each finger that appears in SLF image. The algorithm utilizes ridge orientation and frequency features based on block-wise pixels. A combination of Gabor Filter and Fourier transform is implemented in the normalization stage. In the pre-processing stage, a modified version of Histogram equalization is proposed known as Alteration Histogram Equalization (AltHE). Sliding windows are applied to create bounding boxes in order to find out the distal phalanges region at the segmentation stage. To verify the capability of the proposed segmentation algorithm, the segmentation results is evaluated in two aspects: a comparison with the ground truth foreground and matching performance based on segmented region. The ground truth foreground refers to the manual mark up region of interest area. In order to evaluate the performance of this method, experiments are performed on the Indian Institute of Information Technology Database- Simultaneous Latent Fingerprint (IIITD-SLF). Using the proposed algorithm, the segmented images were supplied as the input image for the matching process via a state art of matcher, VeriFinger SDK. Segmentation of 240 images is performed and compared with manual segmentation methods. The results show that the proposed algorithm achieves a correct segmentation of 77.5% of the SLF images under test

Forecasting a winner for Malaysian Cup 2013 using soccer simulation model

This paper investigates through soccer simulation the calculation of the probability for each team winning Malaysia Cup 2013.Our methodology used here is we predict the outcomes of individual matches and then we simulate the Malaysia Cup 2013 tournament 5000 times.As match outcomes are always a matter of uncertainty, statistical model, in particular a double Poisson model is used to predict the number of goals scored and conceded for each team.Maximum likelihood estimation is use to measure the attacking strength and defensive weakness for each team. Based on our simulation result, LionXII has a higher probability in becoming the winner, followed by Selangor, ATM, JDT and Kelantan.Meanwhile, T-Team, Negeri Sembilan and Felda United have lower probabilities to win Malaysia Cup 2013. In summary, we find that the probability for each team becominga winner is small, indicating that the level of competitive balance in Malaysia Cup 2013 is quite hig

Effect of microwave-assisted acid or alkali pretreatment on sugar release from dragon fruit foliage

Agriculture residues are a promising feedstock for value-added products from lignocellulosic waste. However, pretreatment of lignocellulosic materials is essential to facilitate enzymatic hydrolysis and improve sugar yield. The objective of this study is to evaluate the effect of acid or alkali during microwave-assisted pretreatment of dragon fruit foliage (DFF) that would make hydrolysis process more efficient. In the present study, distilled water and three chemicals were examined for their effects on releasing monomeric sugar during microwave treatment. Microwave-assisted pretreatment namely microwave-distilled water (M-H2O) (control); microwave-sulfuric acid (M-H2SO4); microwave-sodium hydroxide (M-NaOH); and microwave-sodium bicarbonate (M-NaHCO3) pretreatment were performed using 5% (w/v) of DFF as substrate at 800 watt microwave power for 5 minutes exposure time. Highest yield of monomeric sugar was found at 15.56 mg/g using M-NaOH pretreatment at 0.1N NaOH. For M-H2SO4 pretreatment, 0.1N H2SO4 produced 8.2 mg/g of monomeric sugar. Application of M-NaHCO3 pretreatment using 0.05N NaHCO3 solution released 6.45 mg/g of monomeric sugar. While, soaking DFF in distilled water and subjecting to microwave irradiation released 6.6 mg/g of monomeric sugar. Treatments with the lowest concentration (0.01 N) of the three chemicals released only small quantities of total monomeric sugars and less than that with distilled water. The changes in the physical structure of DFF prior to and after the microwave-assisted pretreatment are also reported

College students perception on physical education classes during their high school days

This purpose of this study is to identify and investigate whether there are similarities or differences between genders regarding the perceptions on physical activities of college university students in one of the largest University in Kuala Lumpur, Malaysia. The focus was on three main categories, namely general knowledge, physical education and scientific basis of physical activities. Each category contained questions which serve to evaluate their perceptions about physical activities. The questionnaire was adapted from a journal article on a study done by Mowatt, DePauw and Hulac (1988). This study investigates the perceptions of 113 students (55 males; 65 females) aged between 19 and 25 about physical activities, using the above-mentioned categories. Results of the t-test showed significant differences for general knowledge, t(23) = 3.9, p0.05 no significant differences in means were found between the male and female students

A Review on Minutiae Extraction of Fingerprint

This paper discuss methods to identify minutiae or ridges consist of deciding whether the pixel evaluated belongs to same person or otherwise. A lot of researchers proposed an algorithm or a technique for the minutiae extraction. Normally, the minutiae such as ridge ending and bifurcation detection are based on segment neighboring ridges, directional of ridges block pixel. In this paper, a survey for describing minutiae detection has been conducted. This survey result is not only to identify similarities and differences of the approaches, but also to identify requiring further research

Postprocessing algorithm for security features extraction

One of the issues of fingerprint recognition is finding minutiae or ridges, which involves deciding whether the pixel evaluated is a valid minutiae (ridge ending or ridge bifurcation) or not. Usually, the minutiae are detected in the thinned image which contains a large number of false minutiae and noises. Its may highly decrease the matching performance of the system. This paper proposes an algorithm which is used to eliminate spurious minutiae and non-component of fingerprint features

Optimization of roundness error in deep hole drilling using moth-flame optimization

This paper presents an experimental investigation of deep hole drilling using CNC milling machine. This experiment investigates the effect of machining parameters which are spindle speed, feed rate and depth of hole using minimum quantity lubricant on the roundness error. The experiment was designed using design of experiment (DoE) with two level full factorial and four center point. The regression analysis with two factor interaction model is applied for modelling process. Finally, the machining parameters are optimized using moth-flame optimization (MFO) in obtaining the minimum value of roundness error. The minimum value of roundness error for deep hole drilling is 0.0190 mm at the spindle speed is 700 rpm, feed rate is 50 mm/min, depth of hole is 650 mm and minimum quantity lubricant is 40ml/hr. The findings show that the moth-flame optimization (MFO) algorithm manage to estimate the roundness error in deep hole drilling as proven through the analysis and validation process

CLIMATE CHANGE ACTIONS: CRITICAL FACTORS TO ACHIEVE SUSTAINABLE DEVELOPMENT GOALS

Climate change has been deemed the biggest global health threat of the 21st century. Multiple factors contribute to this global phenomenon including anthropogenic causes. This review is to explore causes of climate change and recognise the impacts on population health as well as to look at strategies to mitigate climate change. This narrative review included articles searched through databases of SCOPUS, PubMed and PROQUEST from the year 2006 to 2018. Climate change is mainly due to man-made activities such as fossil fuels combustion, livestock farming and deforestation. The public health effects include increased vector-borne diseases, heat-related illnesses and respiratory illnesses. Strategies such as strengthening the adaptations to climate-related hazards, climate change integration into national policies, education, awareness-raising, impact reduction and early warnings have been put in place to tackle this crisis. The climate change agenda has been given an important platform as it is the 13th goal of the 17 United Nations Sustainable developmental goals (SDG). In conclusion, climate change has been going on for decades and is threatening the earth. Multi sectoral collaboration and working together towards a common goal is crucial as the wellbeing of our planet is our collective responsibility

Assessment of potential risk factors and skin ultrasound presentation associated with breast cancer-related lymphedema in long-term breast cancer survivors

Breast cancer has been reported to have the highest survival rate among various cancers. However, breast cancer survivors face several challenges following breast cancer treatment including breast cancer-related lymphedema (BCRL), sexual dysfunction, and psychological distress. This study aimed to investigate the potential risk factors of BCRL in long term breast cancer survivors. A total of 160 female breast cancer subjects were recruited on a voluntary basis and arm lymphedema was assessed through self-reporting of diagnosis, arm circumference measurement, and ultrasound examination. A total of 33/160 or 20.5% of the women developed BCRL with significantly higher scores for upper extremity disability (37.14 ± 18.90 vs. 20.08 ± 15.29, p 10) (OR = 2.83, 95% CI: 0.94–8.11, p = 0.047), being overweight (≥25 kg/m2) (OR = 2.57, 95% CI: 1.04 – 6.38, p = 0.036), received fewer post-surgery rehabilitation treatment (OR = 2.37, 95% CI: 1.05–5.39, p = 0.036) and hypertension (OR = 2.38, 95% CI: 1.01–5.62, p = 0.043) were associated with an increased risk of BCRL. Meanwhile, multivariate analysis showed that multiple surgeries remained significant and elevated the likelihood of BCRL (OR = 5.83, 95% CI: 1.14–29.78, p = 0.034). Arm swelling was more prominent in the forearm area demonstrated by the highest difference of arm circumference measurement when compared to the upper arm (2.07 ± 2.48 vs. 1.34 ± 1.91 cm, p < 0.001). The total of skinfold thickness of the affected forearm was also significantly higher than the unaffected arms (p < 0.05) as evidenced by the ultrasound examination. The continuous search for risk factors in specific populations may facilitate the development of a standardized method to reduce the occurrence of BCRL and provide better management for breast cancer patients