NEAR INFRARED IMAGING FOR SUBCUTANEOUS VEINS LOCALIZATION USING WEARABLE OPTICAL IMAGING DEVICE

Intravenous (IV) catheterization is a basic need for medical treatment. Skilled trained medical practices such as doctor, nurse or even paramedic need to learn as this their basic knowledge. To perform this treatment, they need to locate veins they can get by visual or feel it with their fingers. This technique has its own downside as sometimes different patient have differ skin tone and deepness of their veins. Sometimes patients also get scars or even some of them have thick hair. To attempt venipuncture, sometimes they need to repeat it two or three times if it does not succeed. This is due to non-visibility to locate patient’s veins. This may result severe pain to the patient and leave a bigger impact to their health. These inaccurate catheter insertions need to be overcome with a device that can help medical practitioners to locate veins from patients easily and fast for venipuncture process. Today’s technology give human to look through human’s body but non of them have a capability to locate and display subcutaneous veins structure right in front of their eyes for a user to perform iv catheterization process. In this project, near infrared (NIR) imaging technique will be choose as it has several advantages in compared to the other techniqu

The analysis of occupational safety and health practices that affect the labor risk in Pembangunan Pertanian Melaka Sdn Bhd Oil Palm Estate / Mohd Khairul Azam Azali

Occupational health and safety is a process of ensuring that people stay safe and healthy in the workplace to increase workers capacity to perform. The purpose of this study was to evaluate the OSH implementation, knowledge, and participation of plantation workers as well as to identify the existence of a relationship of OSH practices with accident’s rate. A simple random sampling techniques was conducted to select 40 workers out of the 45 population who worked with Pembangunan Pertanian Melaka Sdn Bhd (PPMSB), Merlimau, Melaka. The data were collected using structured questionnaire and analyzed by using Statistical Package for Social Sciences (SPSS) version 20. The data obtained were then analyzed by using the descriptive statistic, anova, correlation and multiple regression. The result indicated that there are significant difference between all practices since the p-value is 0.001 less than 0.05. The result of the study also revealed that each of the practices which is implementation, knowledge and participation had a significant effect on accident’s rate when r² value obtained was 0.383 explains that 38.3% of the variance associated with the rate of accidents. The result also showed that the most dominant variable towards accident’s rate is implementation with the β value is 0.676, followed by a factor of participation with the β value is 0.018 and knowledge with the β value is -0.360. The result also found that there was a medium positive relationship between implementation towards rate of accidents. Since the significant value is 0.000 less than the significant level of 0.05 (2-tailed) and there was no relationship between knowledge and participation towards rate of accidents

Acceleration plethysmogram based biometric identification

This paper presents the feasibility study of Acceleration Plethysmogram (APG) based biometric identification system. APG signals are obtained from the second derivative of the Photoplethysmogram (PPG) signal. It has been reported from previous literature that APG signals contain more information as compared to the PPG signal. Thus, in this paper, the robustness and reliability of APG signal as a biometric recognition mechanism will be proven. APG signals of 10 subjects were acquired from the Multiparameter Intelligent Monitoring in Intensive Care II Waveform Database (MIMIC2WDB) which contains PPG signals with a sampling frequency of 125 Hz. The signals were later converted into an APG waveform. Then, discriminating features are extracted from the APG morphology. Finally, these APG samples were classified using commonly known classification techniques to identify individuals. Based on the experimentation results, APG signal when using Bayes Network gives an identification rate of 97.5 percentage as compared to PPG signal of 55 percentage for the same waveform. This outcome suggests the feasibility and robustness of APG signals as a biometric modality as compared to PPG signals

The effect of chitosan content to physical and degradation properties of biodegradable urea fertilizer

Chitosan has been widely used in many applications due to its biodegradability and non-toxicity. This article discusses the effect of different chitosan loadings on properties of ureafertilizer which prepared through direct wet mixing process. Absorption and soil degradationtests were performed to measure the amount of water intakes and the life-cycle of the fertilizer.The chemical interaction and thermal properties were analyzed using FTIR and DSC,respectively. It was found that water absorbency and degradation rate increases with chitosanloading, and FTIR confirms the presence of urea in as-produced fertilizers from a unique –NHand amide C=O functional groups

Finite element modelling of fixed-fixed end plate attached with vibration absorber

The present paper investigated the effect of the lightweight dynamic vibration absorber (LDVA) to reduce vibration of thin walled structure. The free and forced vibration response of a rectangular thin plate were performed using finite element method. Subsequently, the effects of attached single and dual LDVA were analysed in depth by using Ansys workbench 14.5. Results demonstrated that single LDVA attached at the centre of the plate succesfully attenuate vibration over the frequency range of 0- 600 Hz. By contrast, attached with dual LDVA only suppresses the resonance of the first second and fourth modes but not for third and fifth modes of thin walled structure. It was found that by simply increasing the weight of mass does not improve the vibration absorption over the entire frequency range. The study conclude that attached single LDVA are better than dual LDVA for vibration absorption of thin walled structure over the entire frequency range

Asas Keusahawanan (ETR 300) : Amanjaya Grocery (AJG) / Khairul Nizam... [et al.]

Syarikat Amanjaya Grocery memberi perkhidmatan jualan barangan runcit iaitu barangan keperluan seharian, bahan makanan dan keperluan-keperluan sampingan kepada pengguna sekitar lokasi Amanjaya dan beroperasi 24 jam. Disamping itu AJG shop juga menawarkan perkhidmatan selepas jualan seperti penghantaran barangan terus kerumah yang berdekatan. Lokasi perniagaan terletak di Lengkok Cempaka – 1, Persiaran Cempaka, 08000 Amanjaya, Kedah

Photoplethysmogram Based Biometric Identification Incorporating Different Age and Gender Group

Biometric is the authentication and identification of a person by measuring or estimating their physiological characteristics. First generation biometric such as fingerprint, signature and voice have drawback and easily can be duplicated which lead to serious identity theft crime. Therefore, second generation of biometric was introduced by using bio-signal. This study evaluates the possibility of applying PPG as biometric identification system incorporating different age, gender group, and time variability. A total of 36 subjects were involved in this study consists of 18 males and 18 females for age difference and gender analysis. The PPG signals were taken in resting state by using pulse oximeter. The PPG signal was differentiated twice in order to form APG signal. These signals then undergo preprocessing and the segmentation process was done by using MATLAB. The highest peaks from the signal was used as reference point to determine the appropriate distance for one cycle of both signal. Then, the signals were classified by four commonly used classifiers which are Bayes Network, Naïve Bayes, Multilayer Perceptron, and Radial Basis Function. The outcome from this study suggested the accuracy up to 100% for different age group, 91.11% for female subjects and 95% for male subjects

Cyclic Voltammetry And Galvanostatic Charge-Discharge Analyses Of Polyaniline/Graphene Oxide Nanocomposite Based Supercapacitor

Super capacitor is an energy device that is applicable in numerous fields because of its excellent reversibility, long life and high power density. Nevertheless, its universal use is restricted by the reduced energy storage capacity and its high crossed series compared to batteries. Even with the relatively high-level output and extensive use of super capacitor, there is still substantial doubt and ambiguity as to their efficiency in general, especially when it is compared to lithium-ion batteries. The inconsistencies are attributable both to the lack of standardization of the test methods and to the certainty of the strength capacity of the super capacitor after their resistance has been identified. Therefore, in this work, graphene oxide (GO) and polyaniline(PANI)nanocomposite supercapacitor electrode was fabricated and the performance was investigated by means of cyclic voltammetry and galvanostatic charge-discharge analyses. GOwas synthesized using improve Hummers method and PANI using oxidative polymerization chemical synthesis. Three different electrode’s compositions were prepared using PANI/GO nano composite and labelled as PGO30, PGO50 and PGO70. This article will conclude the electrochemical performance of the electrode. From the results, it was found that PGO50electrode(50% PANI/50% GO) hasthe best calculated capacitance with 19.71 F/g compared to the other composite electrodes. This may be attributed from the good electrical conductivity distribution of PANI and graphene oxide. The findings of the work may significantly drive the future of supercapacitor electrode from nanocomposite related materials

Cardioid graph based ECG biometric in varying physiological conditions using compressed QRS

This paper proposes a robust biometric identification system using compressed electrocardiogram (ECG) signal by varying physiological conditions. The ECG data were obtained by recording a total of 30 healthy subjects where they performed six regular daily activities repeatedly at a sampling frequency of 1000 Hz. Then, the QRS complexes are segmented by implementing Amplitude Based Technique (ABT) where it compares the amplitudes of ECG points to determine the R peak. The segmented QRS is then compressed for various levels by using Discrete Wavelet Transform (DWT) algorithms and first 3 Daubechies (db) wavelet are computed. Next, a Cardioid graph is generated. In order to verify the matching process, the classification is performed by using the Multilayer Perceptron (MLP) technique. The results show that by applying this method, the accuracy of the identification rate can be achieved as high as 96.4% even when the data file is compressed up to 73.3%. When the data file is compressed, the outcomes also demonstrate that the execution time is less compare to non-compressed data. Therefore, the biometric identification system can be implemented efficiently as there will be a lesser issue regarding the data storage, execution time and accuracy based on the outcome of the study

A Feasibility Study Of Low-Power Laser Trepanning Drilling Of Composite Using Modified DVD Writer

In the present study, laser cutting of cotton fiber composite laminate is experimented using a modified DVD writer drive. A 250 mW diode laser is initially extracted from a DVD writer drive, and then regulated by a custom-made laser driver circuit designed using a Proteus® software. Experimental tests are carried out using multi-pass laser trepanning drilling at different drilling speeds and standoff distances (SODs). The cut quality is evaluated by measuring the extent of both oxide and resolidified resin regions. It was discovered that high speed of trepanning drilling and positive SOD significantly improve cut quality. Furthermore, positive and negative SODs require relatively high number of passes at different drilling speeds. From SEM micrographs, it is found out that the crack formation and fiber protruding happen in the drilling area due to thermal stresses and matrix vaporization