จำนวน Repository ( 286 )
การปรับปรุงคุณค่าทางโภชนาการของขนมบุหงาปูดะด้วยไข่ขาวผง
The Improvementof Nutritional Value ofKhanomBunga budaby usingEgg White Powder.The purpose To study the basic recipeof KhanomBunga buda by selecting 3 recipes to determine the acceptability of the teste. Which use Egg White Powderin 3 levels that are 4 6 and 8 percent of weight coconut. The experiment is analyzed by Randomized Complete Block Design (RCBD) to evaluate the sensory quality in appearance color flavor teste texture and overall preference. The sensory in evaluation is tasted by 9 – Point Hedonic Scale from 80 persons. The instructors and student of the Faculty of Home Economics Technology Rajamangala University of Technology Phra Nakhon. After that the analyzed by analysis of variance (ANOVA) and of Least Significant Difference (LSD) statistically significant level 0.05The research shows that 8 percent of Egg White Powder in the best substituted amount as an ingredient of KhanomBunga buda by the appearance color flavor teste texture and overall the average points are 7.86 7.84 7.797.72 7.76 and7.93respectively. The analysis of variances and Range Test are significant difference in the level ofstatistical 0.05 Study the nutritional value of Khanom Bunga Buda 100 grams is 356 calories of energy Moisture content of 20 percentCarbohydrates 62.9 percent 8.91 percent proteinFat 7.92 percent and 3.77 percent fiber.
การพัฒนาขนมลืมกลืนจากผักผลไม้ 5 สี
The Development of KhanomLeumKleun byusing 5 different colors of fruits and vegetables is aimed to study the consumption of fruits and vegetables 5 colors including mall berry beetroot spinach. Pumpkin and millet in different KhanomLeumKleun3 levels.Planning of randomized complete block (Randomized Complete Block Design RCBD) applied to the evaluation of sensory quality in appearance. Color smell taste texture and overall by means of taste was rated as 9 level (9 - Point Hedonic Scale) analyzed the average. Analysis of variance Analysis of Variance ANOVA and compared the difference of the average by statistical software. The study of the mulberry supplementinKhanomLeumKleun at the level of 10% weight of pastry. Recognized in the appearance color smell taste and preference by the overall average score 7.80 7.70 and 7.58 7.56 7.56 respectively. The texture the taste the level of 5% by the score 7.36 when analyzing variance. Comparison and contrast it was found that the appearance of color smell taste texture overallno statistically significant difference at the 0.05 The study of usingbeetroot supplement in KhanomLeumKleunat the level of 15% residuary bequest weight of pastry. Recognized in the appearance color smell taste texture and overall by the score 8.24 7.89 7.90 and 8.00 8.00 8.24 respectively. When analyzing the differences found in the appearance color smell taste texture and overall liking. The difference is statistically significant at 0.05. The study of usingspinach supplement in KhanomLeumKleunat the level of 10% residuary bequest weight of pastry.Recognized in the manner of appearance texture smell The taste and preference for overall scores 7.41 7.05 preference and 7.51 7.55 7.58 Respectively and the panelists accepted in color at the level of 15% average 7.21 preference when used to analyze the variance and compared the difference in statistics. It was found that the texture taste and preference overall. There were significant differences at the level of 0.05.
การปรับปรุงคุณภาพภาดฃพโดยวิธีการปรับเท่าฮีสดตแกรมออกเป็นสองส่วนผ่านทางเวฟเล็ต
The image enhancement process of a digital image is a part of digital signal processing which it plays an important role in some industrial segments for instance object classification or bio-identification satellite exploration or aerial images robot vision cancer treatment etc. These image applications are necessary to consume many resources in physical hardware and computer programming including the intelligent algorithm development of complexly advanced processing in order to enhance digital images – as well as be easy to analyse by humans. This research is aimed to present on Contrast Enhancement using Bi-Histogram Equalization via Two Dimensional Discrete Wavelet Transform (BHE2DWT) in order to compose the coefficient wavelet from other signals. At the end of the process information on the approximation band from DWT will be divided into two sub-histograms and then histograms will be independently equalized. After that resulting histograms will be decomposed by IDWT. Resulting images will be not only more displaying in high contrast than their original images but also preserve the absolute mean brightness error (AMBE) to close their original images.
Optimal location and size of solar farm on power system using bees algorithm with consideration of solar radiation
A solar energy is most popular renewable energy source which can reduce usage of fuel in thermal generation and impact on environment. The solar energy is a clean and sustainable source. This paper proposed method of finding optimal locating and sizing of PV solar farm on the power system with minimize fuel costs by considering solar radiation in each location of solar farm. The bees algorithm (BA) is used to minimize fuel cost of thermal units by changing location and varying sizes of solar farm with security constraints of power system and solar radiation. IEEE 30 bus test system is used to verify the proposed method. The results show that the proposed method found the optimal position of solar farm with minimum economic cost
Oneself prevention in using communication on the internet of a student Rajamangala University of Technology Lanna Nan
The aim of this research was to determine the effects of gender faculty and academic performance on the prevention of students to use to communicate on the Internet. Four hundred and thirty-three (male=225 and female=208) undergraduate students from 3 faculties including faculty of business administration and liberal arts science and agricultural technology and engineering in Rajamangala University of Technology Lanna Nan were used to fill in survey questionnaire. The results found that the gender had effected on the prevention oneself in the communication on the Internet. The male could prevent oneself more than female. In addition the student from engineering and science and agricultural technology could prevention oneself in the communication on the Internet more than faculty of business administration and liberal arts. However the academic performance had not affect on prevent oneself in the communication on the Internet. This study concluded that the prevention oneself in the communication on the Internet is affected by the gender and faculty but not the academic performance.