E-mail alert via SMS / Mohd Fadhil Ab Rahman

This project is about email alert via SMS that were implementing at FTMSK. This project were implementing at FTMSK network. Email and short messaging technology is important services now, especially to a person who busy with their work. Significant of this project is to make email technology at faculty become effective and efficient among student and lecturer. The advantages of this project are to make student more alert with their mail. Student always alert with every mail that through in their mail box, by SMS. Beside that student know when to check their mail. They only go check their mail if get SMS, that save their time and energy. In this project, discussed about what Email and SMS can do, why used email alert and, How to implement Email must alert via SMS. In the end of this project, we will document all the hardware and software development and provide a simulation model of the system

Model pengurusan sumber manusia dari perspektif Islam

Various models of human resource management from an Islamic perspective have been proposed and explored in Islamic, civilization. These models of human resource management have been proven to be efective and are therefore suitable to be followed. Human resource management from an lslamic perspective is believed to be the best and able to cater physiological, psychological and emotional needs and demands that is common to human beings. All these needs have to befuljilled in ensuring an eficient and effective utilization of human resources of organizations.In line with that basic assumption this article discusses a model of human resource management from an Islamic perspective as an alternative to conventional practices

Evaluating IoT based passive water catchment monitoring system data acquisition and analysis

Water quality is the main aspect to determine the quality of aquatic systems. Poor water quality will pose a health risk for people and ecosystems. The old methods such as collecting samples of water manually and testing and analysing at lab will cause the time consuming, wastage of man power and not economical. A system is needed to provide a real-time data for environmental protection and tracking pollution sources. This paper aims to describe on how to monitor water quality continuously through IoT platform. Water Quality Catchment Monitoring System was introduced to check and monitor water quality continuously. It’s features five sensors which are temperature sensor, light intensity sensor, pH sensor, GPS tracker and Inertia Movement Unit (IMU). IMU is a new feature in the system where the direction of x and y is determined for planning and find out where a water quality problem exists by determining the flow of water. The system uses an internet wireless connection using the ESP8266 Wi-Fi Shield Module as a connection between Arduino Mega2560 and laptop. ThingSpeak application acts as an IoT platform used for real-time data monitorin

Developing of emergency evacuation kit in response of Malaysia East Coast flood disaster

The flood struck East Coast of Peninsular Malaysia in December 2014 has resulted in huge natural disaster. More than 4.82 million people across four states especially Kelantan were sink flooded, resulted shut down of the area from outside traffic and delaying the rescue forces. Emergency aid has difficulties to reach the evacuation centres and victims were scattered trapped with low life support on water, food, energy and healthcare supply. Therefore, an integrated assessment of flood in the basin is important to seek for effective responses. In response to disaster vulnerability for risk reduction among society who living in flood prone, community contribution is needed in preparation of emergency evacuation kit as a part of preparedness. The survey will be conduct by distribution of questionnaire to the flood disaster victims in order to discover the most important necessities during flood situation. The results of this survey may lead to the preparation of emergency evacuation kit for use in future

Optimization of distributed generation using mix-integer optimization by genetic algorithm (MIOGA) Considering Load Growth

In this paper, the planning of distributed generation (DG) is presented with a metaheuristic technique called mix-integer optimization by genetic algorithm (MIOGA). The solution of the distribution power flow is based on the backward/forward sweep method to compute the voltage at every node of the buses followed by the determination of power loss. The main idea of the proposed method is to determine the size and location for the DG to be installed in the radial distribution network (RDN). The method is tested in 69 bus RDN in MATLAB. From the simulation results, the reduction in total power loss and improvement in bus voltage magnitudes are observed for the system with the installation of DG. The results show that power loss can be reduced up to 63.03% with DG installation at bus 61 at 1.8727 MW. Apart from the reductions in losses, the installation of DG using MIOGA also helps to improve the voltage profile of the RDN. The critical bus voltage at bus 65 has successfully been improved from 0.9092 p.u. to 0.9806 p.u. The results indicate that load growth has no effect on the optimal position, and only the optimal size of the DG unit is changed. The results also reveal that load growth will increase the power losses. Since the DG in this study solely supplies active power, the impact of DG in reducing power losses is more visible for the case real power demand is increased rather than the case when the reactive power demand is increased

Distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer

This article presents an effective combination method based on Backward/Forward Sweep Power Flow- Grey Wolf optimizer (BFSPF-GWO) for feeder reconfiguration in a distribution network with the presence of distributed generation (DG). The 33-bus test system by adding five tie line switches is proposed with the objective functions of minimizing total power losses and improving the voltage profiles. The results reveal a reduction in active and reactive power losses at 71.41% and 67.66%, respectively. The optimal sizing of DG and installation location are identified by installing a 2.26 MW DG at bus 29. The magnitudes of voltage profiles and critical buses in the test system have been improved. The proposed BFSPF-GWO algorithm's performance in DG placement and sizing with feeder reconfiguration has been evaluated by comparing the results with Mixed-integer optimization by GA (MIOGA) and Particle Swarm optimization (PSO)

Kemerosotan Prestasi Akibat Daripada Tekanan dan Pencemaran Hati : Analogi Cahaya dan Kecacatan Gelap

Faktor semangat merupakan kilauan mata, langkah kaki, pegangan tangan, aliran darah dan tenaga untuk mewujudkan cita – cita pada setiap manusia. Bagi tujuan untuk melaksanakan atau mewujudkan keadaan ini diperlukan keyakinan, keberanian dan kualiti hidup untuk yang ingin memahaminya. Beberapa aspek terjadinya kemerosotan disebabkan pelanggaran prinsip–prinsip dasar kehidupan. Tuntunan cahaya (Nur) Allah S.W.T akan mampu membuka rahsia – rahsia kehidupan dan membuka mata hati. Cahaya ini membolehkan kita menjalani kehidupan yang penuh ketidakpastian dan menemukan suatu keseimbangan batin, hidup secara kreatif “meskipun” ada ketidakpastian, melainkan adanya ketidakpastian yang penuh ilham. Arah cahaya yang salah boleh memberi kesan kecacatan bagi yang memahaminya. Arah dan fokus cahaya yang lurus (light beam collimation) dan sesuai dengan fitrah manusia akan memberikan manfaat bagi yang menerimanya (Ayat Al-Quran Surah An-Nur 35: ) ٱللَّهُ نُورُ ٱلسَّمَـٰوَٲتِ وَٱلۡأَرۡضِ‌ۚ مَثَلُ نُورِهِۦ كَمِشۡكَوٰةٍ۬ فِيہَا مِصۡبَاحٌ‌ۖ ٱلۡمِصۡبَاحُ فِى زُجَاجَةٍ‌ۖ ٱلزُّجَاجَةُ كَأَنَّہَا كَوۡكَبٌ۬ دُرِّىٌّ۬ يُوقَدُ مِن شَجَرَةٍ۬ مُّبَـٰرَڪَةٍ۬ زَيۡتُونَةٍ۬ لَّا شَرۡقِيَّةٍ۬ وَلَا غَرۡبِيَّةٍ۬ يَكَادُ زَيۡتُہَا يُضِىٓءُ وَلَوۡ لَمۡ تَمۡسَسۡهُ نَارٌ۬‌ۚ نُّورٌ عَلَىٰ نُورٍ۬‌ۗ يَہۡدِى ٱللَّهُ لِنُورِهِۦ مَن يَشَآءُ‌ۚ وَيَضۡرِبُ ٱللَّهُ ٱلۡأَمۡثَـٰلَ لِلنَّاسِ‌ۗ وَٱللَّهُ بِكُلِّ شَىۡءٍ عَلِيمٌ۬ Ertinya: Allah (Pemberi) cahaya (kepada) langit dan bumi. perumpamaan cahaya Allah, adalah seperti sebuah lubang yang tak tembus[a], yang di dalamnya ada Pelita besar. Pelita itu di dalam kaca (dan) kaca itu seakan-akan bintang (yang bercahaya) seperti mutiara, yang dinyalakan dengan minyak dari pohon yang berkahnya, (yaitu) pohon zaitun yang tumbuh tidak di sebelah timur (sesuatu) dan tidak pula di sebelah barat(nya)[b], yang minyaknya (saja) hampir-hampir menerangi, walaupun tidak disentuh api. cahaya di atas cahaya (berlapis-lapis), Allah membimbing kepada cahaya-Nya siapa yang dia kehendaki, dan Allah memperbuat perumpamaan-perumpamaan bagi manusia, dan Allah Maha mengetahui segala sesuatu. [a] yang dimaksud lubang yang tidak tembus (misykat) ialah suatu lubang di dinding rumah yang tidak tembus sampai ke sebelahnya, Biasanya digunakan untuk tempat lampu, atau barang-barang lain. [b] Maksudnya: pohon zaitun itu tumbuh di puncak bukit ia dapat sinar matahari baik di waktu matahari terbit maupun di waktu matahari akan terbenam, sehingga pohonnya subur dan buahnya menghasilkan minyak yang bai

Estimating the un-sampled ph value via neighbouring points using multi-layer neural network - genetic algorithm

This study shows a new method to estimate unsampled pH value by utilizing neighboring pH, which according to recent literature, has not been done yet. In investigating this method, three algorithms are used: Neural Network-Genetic Algorithm (MLNN-GA), MLNN with backpropagation (MLNN-BP), and averaging method. MLNNGA and MLNN-BP are inputted with four pH values from distant adjacent locations on a similar basin. MLNN-GA and MLNN-BP utilize GA and backpropagation respectively to update the weight. GA optimizer is used in MLNN-GA where the result of each learning weight will be the initial weight of the next learning process. All three methods are compared based on RMSE, MSE and MAPE. MLNN-GA yielded the lowest average RMSE =0.026265, average MSE =0.000886 and average MAPE =0.003985 compared to MLNN-BP (average RMSE =0.042644, average MSE =0.002648, average MAPE =0.006862) and averaging method (average RMSE =0.136629, average MSE = 0.026128, average MAPE =0.150400). Noticeably, estimating unsampled pH value utilizing neighboring pH by using MLNNGA shows a better performance than MLNN-BP and averaging method

Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Background Previous attempts to characterise the burden of chronic respiratory diseases have focused only on specific disease conditions, such as chronic obstructive pulmonary disease (COPD) or asthma. In this study, we aimed to characterise the burden of chronic respiratory diseases globally, providing a comprehensive and up-to-date analysis on geographical and time trends from 1990 to 2017. Methods Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, we estimated the prevalence, morbidity, and mortality attributable to chronic respiratory diseases through an analysis of deaths, disability-adjusted life-years (DALYs), and years of life lost (YLL) by GBD super-region, from 1990 to 2017, stratified by age and sex. Specific diseases analysed included asthma, COPD, interstitial lung disease and pulmonary sarcoidosis, pneumoconiosis, and other chronic respiratory diseases. We also assessed the contribution of risk factors (smoking, second-hand smoke, ambient particulate matter and ozone pollution, household air pollution from solid fuels, and occupational risks) to chronic respiratory disease-attributable DALYs. Findings In 2017, 544·9 million people (95% uncertainty interval [UI] 506·9–584·8) worldwide had a chronic respiratory disease, representing an increase of 39·8% compared with 1990. Chronic respiratory disease prevalence showed wide variability across GBD super-regions, with the highest prevalence among both males and females in high-income regions, and the lowest prevalence in sub-Saharan Africa and south Asia. The age-sex-specific prevalence of each chronic respiratory disease in 2017 was also highly variable geographically. Chronic respiratory diseases were the third leading cause of death in 2017 (7·0% [95% UI 6·8–7·2] of all deaths), behind cardiovascular diseases and neoplasms. Deaths due to chronic respiratory diseases numbered 3 914 196 (95% UI 3 790 578–4 044 819) in 2017, an increase of 18·0% since 1990, while total DALYs increased by 13·3%. However, when accounting for ageing and population growth, declines were observed in age-standardised prevalence (14·3% decrease), age-standardised death rates (42·6%), and age-standardised DALY rates (38·2%). In males and females, most chronic respiratory disease-attributable deaths and DALYs were due to COPD. In regional analyses, mortality rates from chronic respiratory diseases were greatest in south Asia and lowest in sub-Saharan Africa, also across both sexes. Notably, although absolute prevalence was lower in south Asia than in most other super-regions, YLLs due to chronic respiratory diseases across the subcontinent were the highest in the world. Death rates due to interstitial lung disease and pulmonary sarcoidosis were greater than those due to pneumoconiosis in all super-regions. Smoking was the leading risk factor for chronic respiratory disease-related disability across all regions for men. Among women, household air pollution from solid fuels was the predominant risk factor for chronic respiratory diseases in south Asia and sub-Saharan Africa, while ambient particulate matter represented the leading risk factor in southeast Asia, east Asia, and Oceania, and in the Middle East and north Africa super-region. Interpretation Our study shows that chronic respiratory diseases remain a leading cause of death and disability worldwide, with growth in absolute numbers but sharp declines in several age-standardised estimators since 1990. Premature mortality from chronic respiratory diseases seems to be highest in regions with less-resourced health systems on a per-capita basis. Funding Bill & Melinda Gates Foundation