Analysis of non uniform surface current distribution on thick and thin wire antenna

When wires are closely parallel, the surface current distribution becomes non uniform. Normal mode helical antenna is choosing in particular in order to study the effect of surface current distribution along its segmentation from the excitation segments towards the end of the antenna length. Antenna of different wire geometries such as wire thickness, and number of turn is designed to analyze anticipated results. The frequency operating in UHF band frequency spectrum is choose as a contribution towards widely application nowadays. The surface current distribution of thin wire antenna is not uniform as well for thick wire antennas. The difference is that thicker wire antennas results higher amount of current comparing to thin wire antennas. Higher amount of current of the surface wire antenna produce better gain and higher magnetic field strength value

Ergonomics evaluation of workplace at car tyre service centre

The project title is to evaluate an ergonomic on workplace at car tyre service centre. Too many people are injured while working in automotive workshops. Questionnaire survey on the workers by through interview session is used to identify a level of body discomfort area and sources of injury or uncomfortable feelings. Direct observation is performed by "walk through" inspection using digital camera to evaluate and identify ergonomic risk factor based on work activity that has ergonomic stressors present at the workplace. In particular, the application of Rapid Entire Body Assessment (REBA) is used to evaluate exposures to postures, forces and muscle activities that have been shown to contribute to Musculoskeletal Disorders (MSDs). From questionnaire survey findings, the twelve (12) of respondents have body discomfort in the neck (8 each), shoulder (10 each), elbow/forearm (9 each), hand/wrist (11 each), knee (7 each), lower leg (7 each) ankle/foot (4 each) and lower back (9 each). The main sources of injury/uncomfortable feeling in workplace are poor body posture (75%), bending the back (75%), highly repetitive motion (75%), heavy lifting object (83.3%), the long term standing (66.7%), long term squatting (58.3%), bending the neck (66.7%) and high hand force (58.3%). And about 50% reported that poor workplace design was contributed to source of injury while 41.7% reported in use of hand tools. Eight (8) pictures were taken by using digital camera for the eight (8) different tasks to identify the ergonomic physical risk factors. Most of the physical risk factors identified were awkward posture from working with the hands above the shoulders, neck bending, bending the back forward, repeated bending, reaching, squatting and kneeling on the hard surface. Lifting heavy objects more than 10 kg, not wearing a hand gloves and exposed to high hand arm vibration when using high impact wrench (air gun) also contributed to the ergonomic physical risk factor. The REBA analysis showed, mostly in a score of eleven (11), very high risk which require action to be taken immediately. This study also includes controlling, minimizing and eliminating the risks of work-related entire body disorders exposure. There is a two hierarchy of controls that are widely accepted for modifying ergonomic hazards in which are engineering controls and administrative controls. Engineering controls involve changing the workstation layout, selection and use of tools, position of process materials, or work methods used to complete a task. Administrative controls are policies or practices directed by management that can reduce or prevent exposure to ergonomics risk factors. The study will be useful to ergonomists, researchers, consultants, workshop managers, maintenance workers and others concerned with ergonomics design in workplace

Experimental comparison between proportional and PWM-solenoid valves controlled servopneumatic positioning systems

The performance of the Dynamical Adaptive Backstepping-Sliding Mode Control (DAB-SMC) scheme for positioning of a pneumatic cylinder regulated by two types of PWM-solenoid valves is experimentally investigated. The goal is to study the compromise in controller’s performance as the system moves from using a proportional valve to employing the low-cost PWM-solenoid valves. Sinusoidal and multiple-step inputs are used as the reference position trajectories. Experimental results show that the DAB-SMC scheme works best with the proportional valve. The performance, however, deteriorates by more than twofold, once the system utilizes PWM- solenoid valves of 3/2-way or 2/2-way configurations. From this study, tradeoff between performances of different types of valves applied on a DAB-SMC scheme-controlled servo positioning system is successfully documented. This information helps to configure appropriate servopneumatic system for positioning applications

An evaluation of important criteria for measuring the facade condition of old shophouses in Malaysia

Preserving the facade of the old shop houses is important to reflect the image of an attractive townscape. Be-sides having a unique architectural motif, the facade of an old shop houses also has a high heritage value, particularly in terms of how it was built. Therefore, it is desirable to ensure the facade is always in good condition. However, it is difficult to determine the facade of the old shop houses that whether they are in good condition or not. This is because there are no specific criteria used to classify the condition of the facade. Therefore, this study aims to establish a system of criteria for which the facade of the old shop houses that can be assessed and classified in a comprehensive and sustainable. A total of 74 respondents from various professional fields including industry practitioners and academics have been involved in com-pleting the questionnaire. The results of this study will then be used as a basis for the establishment of the classification model for building facade of old shop houses in Malaysia

HUBUNGAN TINGKAT PENGETAHUAN DENGAN PERILAKU KELUARGA DALAM PEMBERANTASAN SARANG NYAMUK DEMAM BERDARAH DENGUE DI MASALEMBU SUMENEP

Penyakit DBD mulai dikenal di Indonesia sejak tahun 1968 di Surabaya dan Jakarta, dan setelah itu jumlah kasus DBD terus bertambah seiring dengan meluasnya daerah endemis DBD. Berbagai upaya telah dilakukan oleh Dinas Provinsi Jawa Timur dalam penanggulangan munculnya kasus DBD, namun belum menampakkan hasil yang optimal. Penelitian ini bertujuan untuk mengetahui hubungan antara tingkat pengetahuan dengan perilaku keluarga dalam pemberantasan sarang nyamuk demam berdarah dengue di Masalembu Sumenep. Penelitian ini merupakan penelitian analitik dengan pendekatan cross- sectional. Populasi sasaran penelitian ini adalah Kepala Keluarga (KK) di wilayah RT 02 RW 03 Desa Sukajeruk Kecamatan Masalembu Kabupaten Sumenep. Sampel penelitian adalah 59 orang dipilih secara acak. Alat pengumpulan data menggunakan kuesioner dan lembar observasi. Uji statistik data dilakukan dengan menggunakan analisis bivariate dengan uji chisguare. Hasil penelitian ini menunjukkan bahwa dari 59 responden sebagian besar (66% ) memiliki pengetahuan rendah dan dari 59 responden sebagian besar (54%) berperilaku kurang. Setelah dilakukan uji Chi-Sguare didapatkan bahwa signifikasi p= 0,000 dan α= <0,05. Sehingga p<α yang berarti Ho diterima dan H1 ditolak. Kesimpulan penelitian ini yaitu terdapat hubungan yang bermakna antara pengetahuan dengan perilaku keluarga dalam pemberantasan sarang nyamuk demam berdarah dengue. Disarankan untuk melakukan upaya-upaya yang tepat untuk meningkatkan pengetahuan masyarakat tentang penyakit DBD beserta cara penanggulangannya

A multiprocess quality model: identification of of key processes in the integration approach

In this paper we investigate the use of multiprocess quality model in the adoption of process improvement frameworks. We analyze an improvement effort based on multiple process quality models adoption. At present, there is a possibility of a software development organization to adopt multi-quality and improvement models in order to remain competitive in the IT market place. Various quality models emerge to satisfy different improvement objective such as to improve capability of models, quality management and serve as IT government purpose. The heterogeneity characteristics of the models require further research on dealing with multiple process models at a time. We discuss on the concept of software process and overview on software maintenance and evolution which are important elements in the quality models. The concepts related to process quality model and improvement models are discussed. The research outlined in this paper shows that software processes, maintenance, evolution, quality and improvement have become really important in software engineering. The synergy among the multi-focused process quality model is examined with respect to process improvement. The research outcome is to determine key processes vital to the implementation of multi-process quality model

Gaya belajar pelajar tingkatan lima aliran perdagangan di lima buah sekolah menengah teknik : suatu kajian

Kajian ini mengenal pasti gaya belajar Visual, Auditori dan Kinestetik pelajar tingkatan lima aliran perdagangan di lima buah sekolah menengah teknik. Objektif utama kajian ini adalah untuk mengenal pasti peratus setiap kecenderungan gaya belajar di setiap sekolah yang dikaji. Satu ratus lima puluh orang pelajar telah dijadikan responden kajian. Kajian ini adalah berbentuk deskriptif dan instrumen pengumpulan data yang digunakan adalah borang soal selidik yang telah diubahsuai dari Learning Style Inventory. Data dianalisis menggunakan Statistical Package for Social Sciences (SPSS) versi 11.5 bagi mendapatkan peratus, min, sisihan piawai serta mengenal pasti sekiranya terdapat perbezaan yang signifikan setiap skor gaya belajar di kalangan sekolah yang dikaji. Dapatan kajian menunjukkan peratus kecenderungan gaya pelajar paling tinggi ialah gaya belajar Auditori diikuti dengan gaya belajar Kinestetik dan Visual

State snapshot : Texas

Texas Department of State Health ServicesTop 5 Public Health Priorities1. Enhance public health response to disasters anddisease outbreaks2. Prevent chronic diseases and infectious diseases3. Improve the health of infants and women4. Meet increased regulatory demands due to business growth5. Increase emphasis on health care qualityTotal NCCDPHP Funding: FY 2014 $9,041,961dCS258145AWCDC/NCCDPHP Programs -- Helpful Links -- Key Contacts

Development of symbolic algorithms for certain algebraic processes

This study investigates the problem of computing the exact greatest common divisor of two polynomials relative to an orthogonal basis, defined over the rational number field. The main objective of the study is to design and implement an effective and efficient symbolic algorithm for the general class of dense polynomials, given the rational number defining terms of their basis. From a general algorithm using the comrade matrix approach, the nonmodular and modular techniques are prescribed. If the coefficients of the generalized polynomials are multiprecision integers, multiprecision arithmetic will be required in the construction of the comrade matrix and the corresponding systems coefficient matrix. In addition, the application of the nonmodular elimination technique on this coefficient matrix extensively applies multiprecision rational number operations. The modular technique is employed to minimize the complexity involved in such computations. A divisor test algorithm that enables the detection of an unlucky reduction is a crucial device for an effective implementation of the modular technique. With the bound of the true solution not known a priori, the test is devised and carefully incorporated into the modular algorithm. The results illustrate that the modular algorithm illustrate its best performance for the class of relatively prime polynomials. The empirical computing time results show that the modular algorithm is markedly superior to the nonmodular algorithms in the case of sufficiently dense Legendre basis polynomials with a small GCD solution. In the case of dense Legendre basis polynomials with a big GCD solution, the modular algorithm is significantly superior to the nonmodular algorithms in higher degree polynomials. For more definitive conclusions, the computing time functions of the algorithms that are presented in this report have been worked out. Further investigations have also been suggested

Automatic Classification of Bright Retinal Lesions via Deep Network Features

The diabetic retinopathy is timely diagonalized through color eye fundus images by experienced ophthalmologists, in order to recognize potential retinal features and identify early-blindness cases. In this paper, it is proposed to extract deep features from the last fully-connected layer of, four different, pre-trained convolutional neural networks. These features are then feeded into a non-linear classifier to discriminate three-class diabetic cases, i.e., normal, exudates, and drusen. Averaged across 1113 color retinal images collected from six publicly available annotated datasets, the deep features approach perform better than the classical bag-of-words approach. The proposed approaches have an average accuracy between 91.23% and 92.00% with more than 13% improvement over the traditional state of art methods.Comment: Preprint submitted to Journal of Medical Imaging | SPIE (Tue, Jul 28, 2017