• Journal of Animal Science and Technology
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• v.63 no.6
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• pp.1433-1442
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• 2021

In this study, Saccharomyces cerevisiae culture fluid (SCCF) has been added to a diet of lactating dairy cows to attempt to improve the ruminal fermentation and potentially increase the dry matter intake (DMI) and milk yield. This study was conducted to investigate the effects of SCCF on the milk yield and blood biochemistry in lactating cows during the summer. Twenty-four Holstein dairy cows were randomly assigned to one of four treatments: (1) total mixed ration (TMR-1) (Control); (2) TMR-1 supplemented with SCCF (T1); (3) TMR-2 (containing alfalfa hay) (T2); and (4) TMR-2 supplemented with SCCF (T3). SCCF (5 ml/head, 2.0×10⁷ CFU/mL) was mixed with TMRs daily before feeding to dairy cows. The mean daily temperature-humidity index (THI) during this trial was 76.92 ± 0.51 on average and ranged from 73.04 to 81.19. For particle size distribution, TMR-2 had a lower >19 mm fraction and a higher 8-9 mm fraction than TMR-1 (p < 0.05). The type of TMR did not influence the DMI, body weight (BW), milk yield and composition, or blood metabolites. The milk yield and composition were not affected by the SCCF supplementation, but somatic cell counts were reduced by feeding SCCF (p < 0.05). Feeding SCCF significantly increased the DMI but did not affect the milk yield of dairy cows. The NEFA concentration was slightly decreased compared to that in the control and T2 groups without SCCF. Feeding a yeast culture of S. cerevisiae may improve the feed intake, milk quality and energy balance of dairy cows under heat stress.

• Structural Engineering and Mechanics
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• v.80 no.5
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• pp.503-522
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• 2021

This paper investigates experimentally and numerically the influence of drilling process on the mechanical and thermomechanical behaviors of woven glass fiber reinforced polymer (GFRP) composite plate. Through the experimental analysis, a CNC machine with cemented carbide drill (point angles 𝜙=118° and 6 mm diameter) was used to drill a woven GFRP laminated squared plate with a length of 36.6 mm and different thicknesses. A produced temperature during drilling "heat affected zone (HAZ)" was measured by two different procedures using thermal IR camera and thermocouples. A thrust force and cutting torque were measured by a Kistler 9272 dynamometer. The delamination factors were evaluated by the image processing technique. Finite element model (FEM) has been developed by using LS-Dyna to simulate the drilling processing and validate the thrust force and torque with those obtained by experimental technique. It is found that, the present finite element model has the capability to predict the force and torque efficiently at various drilling conditions. Numerical parametric analysis is presented to illustrate the influences of the speeding up, coefficient of friction, element type, and mass scaling effects on the calculated thrust force, torque and calculation's cost. It is found that, the cutting time can be adjusted by drilling parameters (feed, speed, and specimen thickness) to control the induced temperature and thus, the force, torque and delamination factor in drilling GFRP composites. The delamination of woven GFRP is accompanied with edge chipping, spalling, and uncut fibers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.133-152
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• 2022

Rice is a fundamental staple food commodity all around the world. Globally, it is grown over 167 million hectares and occupies almost 1/5^th of total cultivated land under cereals. With a total production of 782 million metric tons in 2018. In Pakistan, it is the 2^nd largest crop being produced and 3^rd largest food commodity after sugarcane and rice. The stem borers a type of pest in rice and other crops, Scirpophaga incertulas or the yellow stem borer is very serious pest and a major cause of yield loss, more than 90% damage is recorded in Pakistan on rice crop. Yellow stem borer population of rice could be stimulated with various environmental factors which includes relative humidity, light, and environmental temperature. Focus of this study is to find the environmental factors changes i.e., temperature, relative humidity and rainfall that can lead to cause outbreaks of yellow stem borers. this study helps to find out the hot spots of insect pest in rice field with a control of farmer's palm. Proposed system uses temperature, relative humidity, and rain sensor along with artificial neural network to predict yellow stem borer attack and generate warning to take necessary precautions. result shows 85.6% accuracy and accuracy gradually increased after repeating several training rounds. This system can be good IoT based solution for pest attack prediction which is cost effective and accurate.

• The Research Journal of the Costume Culture
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• v.30 no.4
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• pp.548-562
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• 2022

We conducted this study to determine the TikTok usage status of Chinese consumers, and the effect of fashion advertisement type preference and TikTok characteristics on fashion product purchase intentions. For this study, we conducted a literature review and survey method. The following conclusions were drawn by collecting data online and performing statistical analysis. Firstly, the period of use was 2 - 4 years, and 95.1% of people used it for 2 - 3 hours a day, and 95.1% of the people had a purchasing experience on TikTok. Secondly, the most people were interested in self creating and editing videos in TikTok. With regards to TikTok content, groups aged 30 are significantly more interested in fashion coordination suggestions and influencer' recommendations than groups aged 20. Thirdly, this study found that the characteristics of TikTok fashion advertisements significantly influenced purchase intention. Among the characteristics of fashion advertisements, this study conclude that the "fashion entertainment" characteristic factor that fashion advertisements are fun and entertaining was the most influential variable on purchase intention, followed by useful information, reliability, and interactivity related to fashion. Fourthly, the types of preferred TikTok fashion advertising had a statistically significant effect on product purchase intention. The influential types of preferred advertising are top view, live advertisement, hashtag challenge, in-feed ads, and sticker ads.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.185-196
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• 2022

The Internet of Things (IoT) has become more and more widespread in recent years, thus attackers are placing greater emphasis on IoT environments. The IoT connects a large number of smart devices via wired and wireless networks that incorporate sensors or actuators in order to produce and share meaningful information. Attackers employed IoT devices as bots to assault the target server; however, because of their resource limitations, these devices are easily infected with IoT malware. The Distributed Denial of Service (DDoS) is one of the many security problems that might arise in an IoT context. DDOS attempt involves flooding a target server with irrelevant requests in an effort to disrupt it fully or partially. This worst practice blocks the legitimate user requests from being processed. We explored an intelligent intrusion detection system (IIDS) using a particular sort of machine learning, such as Artificial Neural Networks, (ANN) in order to handle and mitigate this type of cyber-attacks. In this research paper Feed-Forward Neural Network (FNN) is tested for detecting the DDOS attacks using a modified version of the KDD Cup 99 dataset. The aim of this paper is to determine the performance of the most effective and efficient Back-propagation algorithms among several algorithms and check the potential capability of ANN- based network model as a classifier to counteract the cyber-attacks in IoT environments. We have found that except Gradient Descent with Momentum Algorithm, the success rate obtained by the other three optimized and effective Back- Propagation algorithms is above 99.00%. The experimental findings showed that the accuracy rate of the proposed method using ANN is satisfactory.

• Structural Engineering and Mechanics
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• v.86 no.1
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• pp.119-137
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• 2023

The purpose of this research is to assess the performance of CBN and ceramic tools during the dry turning of gray cast iron EN GJL-350. During the turning operation, the variable machining parameters are cutting speed, feed rate, depth of cut and type of the cutting material. This contribution consists of two sections, the first one deals with the performance evaluation of four materials in terms of evolution of flank wear, surface roughness (2D and 3D) and cutting forces. The focus of the second section is on statistical analysis, followed by modeling and optimization. The experiments are conducted according to the Taguchi design L₃₂ and based on ANOVA approach to quantify the impact of input factors on the output parameters, namely, the surface roughness (Ra), the cutting force (Fz), the cutting power (Pc), specific cutting energy (Ecs). The RSM method was used to create prediction models of several technical factors (Ra, Fz, Pc, Ecs and MRR). Subsequently, the desirability function approach was used to achieve a multi-objective optimization that encompasses the output parameters simultaneously. The aim is to obtain optimal cutting regimes, following several cases of optimization often encountered in industry. The results found show that the CBN tool is the most efficient cutting material compared to the three ceramics. The optimal combination for the first case where the importance is the same for the different outputs is Vc=660 m/min, f=0.116 mm/rev, ap=0.232 mm and the material CBN. The optimization results have been verified by carrying out confirmation tests.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.56 no.6
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• pp.850-860
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• 2023

The effects of dietary mannan oligosaccharides, Lactobacillus plantarum, Bacillus subtilis, and Bacillus licheniformis supplementation on hybrid grouper Epinephelus akaara ♀×Epinephelus lanceolatus ♂ were evaluated. The fish were fed a basal diet and five other diets consisting of 0.6% mannan oligosaccharides, L. plantarum, B. subtilis, and B. licheniformis and mixture of each 0.15% prebiotic and all the probiotics (designated as MOS, LP, BS, BL, and SYN) for 56 days. Growth performance and feed utilization showed no significant differences among all experimental groups. Lipid level of whole-body was significantly high in MOS and BL groups. Plasma aspartate aminotransferase was significantly low in BL and SYN groups. Nitro-blue tetrazolium, lysozyme and anti-protease, and glutathione peroxidase in BS, SYN, and all probiotic groups, respectively, were significantly high. Intestinal Vibrio bacteria was significantly low in all probiotic and SYN groups. Gene expression of interleukin-1β and interleukin-10 in SYN group; transforming growth factor β2 in MOS and BS groups, toll-like receptor 2-2 in BS and BL groups; and C-type lectin in MOS, LP and SYN groups were significantly upregulated. Our findings indicate that mannan oligosaccharides, L. plantarum, B. subtilis, and B. licheniformis could improve innate immunity, antioxidant capacity, anti-inflammation, and intestinal microbiota of hybrid grouper.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.11-18
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• 2024

This paper presents a procedure to optimize the design of 70GHz band array antenna for automotive short range radar sensor applications using Chebyshev polynomials. SRR(: Short Range Radar) systems require a wide angle width and low Side lobe level to detect targets within close proximity while ensuring a high Field of View(FoV). The optimized antenna operates in the 76 to 81GHz frequency range, and to reduce the antenna size, we arranged 12 patches in series, achieving an SLL of 10dB, angle with of 112.5o, gain of 15.4dB and an input return loss of less than -10dB at 78GHz. In this paper, we proceed with antenna design for SRR using Chebyshev polynomials, and present an optimal design for antenna structures to be used in MRR(: Medium-Range Radar) and LRR(: Long Range Radar) applications based on this paper

• Food Science of Animal Resources
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• v.44 no.3
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• pp.723-737
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• 2024

Yeast protein can be a nutritionally suitable auxiliary protein source in livestock food. The breakdown of proteins and thereby generating high-quality peptide, typically provides nutritional benefits. Enzyme hydrolysis has been effectively uesed to generate peptides; however, studies on the potential applications of different types of enzymes to produce yeast protein hydrolysates remain limited. This study investigated the effects of endo- (alcalase and neutrase) and exotype (flavourzyme and prozyme 2000P) enzyme treatments on yeast protein. Endotype enzymes facilitate a higher hydrolysis efficiency in yeast proteins than exotype enzymes. The highest degree of hydrolysis was observed for the protein treated with neutrase, which was followed by alcalase, prozyme 2000P, and flavourzyme. Furthermore, endotype enzyme treated proteins exhibited higher solubility than their exotype counterparts. Notably, the more uniform particle size distribution was observed in endotype treated yeast protein. Moreover, compared with the original yeast protein, the enzymatic protein hydrolysates possessed a higher content of β-sheets structures, indicating their higher structural stability. Regardless of enzyme type, enzyme treated protein possessed a higher total free amino acid content including essential amino acids. Therefore, this study provides significant insights into the production of protein hydrolysates as an alternative protein material.

• Korean Journal of Ichthyology
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• v.28 no.3
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• pp.200-206
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• 2016

The 7-week feeding experiment was conducted to investigate the effects of one experimental diet (ED) and five different commercial diets (CDs) on growth and body composition of juvenile olive flounder, Paralichthys olivaceus. An ED was formulated to contain 50.0% crude protein (CP) from fishmeal, casein, zein and wheat flour and 15.0% crude lipid (CL) from squid liver oil. Five CDs for seawater fish were two domestic E commercial diet (DECD) and C commercial diet (DCCD), three imported H commercial diet (IHCD), M commercial diet (IMCD) and O commercial diet (IOCD) containing 53.1~58.0% CP and 4.8~12.7% CL, respectively. Each diet was fed to triplicate groups of juvenile olive flounder initially weighing $29.1{\pm}0.8g/fish\;(mean{\pm}SD)$ in a flow-through seawater system with a water temperature of $23.4{\sim}28.0^{\circ}C$. Weight gain (WG) was significantly greatest in fish fed the IMCD; intermediate responses were observed for fish fed the DECD, DCCD, and IOCD, while the IHCD and the ED produced the lowest WG values. Feed efficiencies (FE) were similar to WG excluding fish fed the DCCD; FE was also greatest in fish fed the DCCD. Survival with no significant difference approached 100% for fish fed the all six diets in this experiment. Whole-body crude protein and ash contents were not affected excluding moisture and crude lipid by the different type of diets. Therefore, type of diets appeared to be important factor in influencing WG, FE and whole-body moisture and crude lipid of juvenile olive flounder; the best diet for juvenile olive flounder was determined to be the imported commercial M diets containing intermediate protein (55.9%) and lipid (12.7%) in natural seawater based on highest WG, and FE, respectively. This study indicates that the one commercially formulated diet containing intermediate protein and lipid used in this experiment could be a practical diet for juvenile olive flounder; these differences in growth performance between ED and CDs may be due to different dietary protein and lipid levels.