Alinteri Journal of Agriculture Sciences最新文献

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Antecedents of Social Media Advertising Avoidance: An Empirical Study in Pawnbroking Industry 社交媒体广告回避的前因:典当业的实证研究
Alinteri Journal of Agriculture Sciences Pub Date : 2021-06-29 DOI: 10.47059/alinteri/v36i1/ajas21103
Van Tuan Pham, Thinh Hoang, Tien Dat Du, VanNguyen Do
{"title":"Antecedents of Social Media Advertising Avoidance: An Empirical Study in Pawnbroking Industry","authors":"Van Tuan Pham, Thinh Hoang, Tien Dat Du, VanNguyen Do","doi":"10.47059/alinteri/v36i1/ajas21103","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21103","url":null,"abstract":"Purpose - This paper aims to explore antecedents of ad avoidance with the context in the Vietnam pawnbroking industry. Furthermore, the differences in ad avoidance under personal characteristics will firstly appear in this study. Methodology - A qualitative method from 412 social media users was used to test the proposed model. All data were assessed reliability and validity on SPSS version 26 before conducting into CFA and CB-SEM in AMOS software. Findings - The findings indicate that while ad skepticism and perceptions ad as controversial partially mediates the relationship between ad avoidance and its three determinants (Advertising invasiveness, Perceived Value value and Expectation of Negative), perceived space invasiveness has the most potent effect on pawn ad avoidance. Skeptical customers are more likely to avoid pawnbroking advertisements than those who perceive such ads as controversial. The results also show that ethical judgement moderates both the relationship of perceived controversial ads and ad avoidance and the relationship between ad skepticism and ad avoidance. Implications - Social media platform owners were suggested to reinforce their censoring system and advertising placements. Marketers in this study were convinced to generate advertisements with emotional and informative appeals. Besides, appropriate marketing activities, channels, and ad formats with campaigns should be considered strictly. Originality/value - The mediating role of attitude in the relationship between perception and ad avoidance has been firstly affirmed by qualitative data in this study. Interestingly, researchers explored a new variable - Negative eWOM with a medium impact of ad skepticism. Ethical judgement was demonstrated as a drastically important factor in pawnbroking research.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84880266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Wavelet based Extraction of Features from EEG Signals and Classification of Novel Emotion Recognition Using SVM and HMM Classifier and to Measure its Accuracy 基于小波的脑电信号特征提取与支持向量机和HMM分类器的新型情绪识别分类及其准确率测量
Alinteri Journal of Agriculture Sciences Pub Date : 2021-06-29 DOI: 10.47059/alinteri/v36i1/ajas21102
M. Mohanambal, Dr. Prarthana Vardhan
{"title":"Wavelet based Extraction of Features from EEG Signals and Classification of Novel Emotion Recognition Using SVM and HMM Classifier and to Measure its Accuracy","authors":"M. Mohanambal, Dr. Prarthana Vardhan","doi":"10.47059/alinteri/v36i1/ajas21102","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21102","url":null,"abstract":"Aim: The study aims to extract features from EEG signals and classify emotion using Support Vector Machine (SVM) and Hidden Markov Model (HMM) classifier. Materials and methods: The study was conducted using the Support Vector Machine (SVM) and Hidden Markov Model (HMM) programs to analyze and compare the recognition of emotions classified under EEG signals. The results were computed using the MATLAB algorithm. For each group, ten samples were used to compare the efficiency of SVM and HMM classifiers. Result: The study’s performance exhibits the HMM classifier’s accuracy over the SVM classifier and the emotion detection from EEG signals computed. The mean value of the HMM classifier is 52.2, and the SVM classifier is 22.4. The accuracy rate of 35% with the data features is found in HMM classifier. Conclusion: This study shows a higher accuracy level of 35% for the HMM classifier when compared with the SVM classifier. In the detection of emotions using the EEG signal. This result shows that the HMM classifier has a higher significant value of P=.001 < P=.005 than the SVM classifier.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91347473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparison and Prediction of Hyperthyroidism Accuracy Rate Using Novel Deep Learning Technology and Vivo Monitoring 基于新型深度学习技术和体内监测的甲状腺功能亢进准确率的比较与预测
Alinteri Journal of Agriculture Sciences Pub Date : 2021-06-29 DOI: 10.47059/alinteri/v36i1/ajas21098
K. Reddy, D. Rani
{"title":"Comparison and Prediction of Hyperthyroidism Accuracy Rate Using Novel Deep Learning Technology and Vivo Monitoring","authors":"K. Reddy, D. Rani","doi":"10.47059/alinteri/v36i1/ajas21098","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21098","url":null,"abstract":"Aim: The aim of this research work is to determine the presence of hyperthyroidism using modern algorithms, and comparing the accuracy rate between deep learning algorithms and vivo monitoring. Materials and methods: Data collection containing ultrasound images from kaggle's website was used in this research. Samples were considered as (N=23) for Deep learning algorithm and (N=23) for vivo monitoring in accordance to total sample size calculated using clinical.com. The accuracy was calculated by using DPLA with a standard data set. Results: Comparison of accuracy rate is done by independent sample test using SPSS software. There is a statistically indifference between Deep learning algorithm and in vivo monitoring. Deep learning algorithm (87.89%) showed better results in comparison to vivo monitoring (83.32%). Conclusion: Deep learning algorithms appear to give better accuracy than in vivo monitoring to predict hyperthyroidism.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80174738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Smart Face Detection and Recognition in Low Resolution Images Using Alexnet CNN Compare Accuracy with SVM 基于Alexnet CNN的低分辨率图像智能人脸检测与识别与SVM的准确率比较
Alinteri Journal of Agriculture Sciences Pub Date : 2021-06-29 DOI: 10.47059/alinteri/v36i1/ajas21101
S. Mahesh, Dr.G. Ramkumar
{"title":"Smart Face Detection and Recognition in Low Resolution Images Using Alexnet CNN Compare Accuracy with SVM","authors":"S. Mahesh, Dr.G. Ramkumar","doi":"10.47059/alinteri/v36i1/ajas21101","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21101","url":null,"abstract":"Aim: Machine learning algorithm plays a vital role in various biometric applications due to its admirable result in detection, recognition and classification. The main objective of this work is to perform comparative analysis on two different machine learning algorithms to recognize the person from low resolution images with high accuracy. Materials & Methods: AlexNet Convolutional Neural Network (ACNN) and Support Vector Machine (SVM) classifiers are implemented to recognize the face in a low resolution image dataset with 20 samples each. Results: Simulation result shows that ACNN achieves a significant recognition rate with 98% accuracy over SVM (89%). Attained significant accuracy ratio (p=0.002) in SPSS statistical analysis as well. Conclusion: For the considered low resolution images ACNN classifier provides better accuracy than SVM Classifier.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79194928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Detection of Liver Disorder Using RBF SVM in Comparison with Naïve Bayes to Measure the Accuracy, Precision, Sensitivity and Specificity 用RBF支持向量机检测肝脏疾病与Naïve贝叶斯比较其准确性、精密度、灵敏度和特异性
Alinteri Journal of Agriculture Sciences Pub Date : 2021-06-29 DOI: 10.47059/alinteri/v36i1/ajas21093
M. Madhu, Dr.Kirupa Ganapathy
{"title":"Detection of Liver Disorder Using RBF SVM in Comparison with Naïve Bayes to Measure the Accuracy, Precision, Sensitivity and Specificity","authors":"M. Madhu, Dr.Kirupa Ganapathy","doi":"10.47059/alinteri/v36i1/ajas21093","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21093","url":null,"abstract":"Aim: Machine learning techniques are rapidly used in the area of medical research due to its impressive results in diagnosis and prediction of diseases. The objective of this study is to evaluate the performance of SVM classifier in identification of liver disorder by comparing it with Naive Bayes algorithm. Methods and Materials: A total of 31619 samples are collected from three liver disease datasets available in kaggle. These samples are divided into training dataset (n = 22133 [70%]) and test dataset (n = 9486 [30%]). Accuracy, precision, specificity and sensitivity values are calculated to quantify the performance of the SVM algorithm. Results: SVM achieved accuracy, precision, sensitivity and specificity of 73.64%, 97.82%, 97.56% and 69.77% respectively compared to 57.31%, 41.39%, 94.87% and 37.20% by Naive Bayes algorithm. Conclusion: In this study it is found that the RBF SVM algorithm performed better than the Naive Bayes algorithm in liver disorder detection of the datasets considered.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77304040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparison the Electrical Characteristics of PEDOT: PSS Tandem Solar Cell and P3HT Tandem Solar Cell by Varying Thickness 不同厚度PEDOT: PSS串联太阳能电池和P3HT串联太阳能电池的电学特性比较
Alinteri Journal of Agriculture Sciences Pub Date : 2021-06-29 DOI: 10.47059/alinteri/v36i1/ajas21095
Koneti Sairam, A. Sivagami
{"title":"Comparison the Electrical Characteristics of PEDOT: PSS Tandem Solar Cell and P3HT Tandem Solar Cell by Varying Thickness","authors":"Koneti Sairam, A. Sivagami","doi":"10.47059/alinteri/v36i1/ajas21095","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21095","url":null,"abstract":"Aim: This project aims to improve the electrical characteristics in the polymer tandem solar cell by changing polymers with thickness to increase the efficiency. Methods and Materials: The PEDOT: PSS and P3HT Polymer was chosen as a group having 20 samples in each respectively. The electrical characteristics are stimulated by varying the polymer with thickness. Changing the polymer material leads to improved efficiency in the tandem solar cell. Results: The Independent T test was done which reveals that the P3HT (P = 0.553) was found to be statistically significantly compared with PEDOT: PSS polymer material. Conclusion: The analysis we found P3HT appeared to have better efficiency than PEDOT: PSS polymer tandem solar cell from Green energy. While P3HT(p=0.583) having the better significance compared with PEDOT: PSS (p=0.883).","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"199 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76963174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Role and Importance of Agriculture in the Development of the National Economy of the Republic of Uzbekistan 农业在乌兹别克斯坦共和国国民经济发展中的作用和重要性
Alinteri Journal of Agriculture Sciences Pub Date : 2021-06-29 DOI: 10.47059/alinteri/v36i1/ajas21106
Soxadaliyev Abdurashid Mamadaliyevich, Mahmudov Baxriddin Jurayevich
{"title":"The Role and Importance of Agriculture in the Development of the National Economy of the Republic of Uzbekistan","authors":"Soxadaliyev Abdurashid Mamadaliyevich, Mahmudov Baxriddin Jurayevich","doi":"10.47059/alinteri/v36i1/ajas21106","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21106","url":null,"abstract":"This scientific article focuses on the analysis of a certain level of contribution of agricultural production to the positive changes in the national economy of the republic in 2018-2019. There is a general approach to the role of the industry in strengthening the food security of products, as well as in the supply of raw materials for light industry and solving the problem of unemployment in the country.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80878410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improving Yield and Quality of Wild Pork and Pigs in Thai Nguyen, Vietnam - and Solutions to Enhance Competitiveness to Thailand and China 提高越南太原野生猪肉和生猪的产量和质量——以及提高对泰国和中国竞争力的解决方案
Alinteri Journal of Agriculture Sciences Pub Date : 2021-06-29 DOI: 10.47059/alinteri/v36i1/ajas21104
Bui Thi Thom, D. Huy, T. Phùng
{"title":"Improving Yield and Quality of Wild Pork and Pigs in Thai Nguyen, Vietnam - and Solutions to Enhance Competitiveness to Thailand and China","authors":"Bui Thi Thom, D. Huy, T. Phùng","doi":"10.47059/alinteri/v36i1/ajas21104","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21104","url":null,"abstract":"Thanapongtharm (2016) stated that in Thailand, pig production intensified significantly during the last decade, with many economic, epidemiological and environmental implications. Also detailed geographical analysis of the different production systems will be used to spatially-inform planning decisions for pig farming accounting for the specific health, environment and economical implications of the different pig production systems. Pig farming is very important in Vietnam, esp. In Thai Nguyen city and Northern provinces, pork products are suitable for people's taste. At present, most pig breeds are selected and raised in accordance with local conditions, especially wild boar and hybrids are very popular with people, the demand for products is increasing day by day. Lander et al (2020) pointed Pigs have played a central role in the subsistence and culture of China for millennia. The close relationship between pigs and people began when humans gradually domesticated wild pigs over 8,000 years ago. While pigs initially foraged around settlements, population growth led people to pen their pigs, which made them household trash processors and fertilizer producers. Study results show for instance, For commercial cross-bred wild boar farming, a diet with a protein level of 16-14% and a metabolic energy level of 3000-2900 kcal/kg of feed in the diet for growth and fattening most appropriate, which has both the growth ability of hybrid wild pigs and economic efficiency under semi-wild breeding conditions in Thai Nguyen ecological environment. Last but not least authors present food processing of wild pigs into delicious stir-dried pork.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85937990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Construction of pMos Logic based Low Power High Speed Comparator Compare with nMos Logic 基于pMos逻辑的低功耗高速比较器的构建与nMos逻辑的比较
Alinteri Journal of Agriculture Sciences Pub Date : 2021-06-29 DOI: 10.47059/alinteri/v36i1/ajas21090
M. Reddy, P. Dass
{"title":"Construction of pMos Logic based Low Power High Speed Comparator Compare with nMos Logic","authors":"M. Reddy, P. Dass","doi":"10.47059/alinteri/v36i1/ajas21090","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21090","url":null,"abstract":"Aim: The aim of this work is to construct an innovative pMos logic based comparator and analyze the power consumption and compare with the nMos logic based comparator. Material and methods: The comparator is designed by using the Tanner tool version 16.01 for simulation and verification. By varying the length of a transistors in a circuit the power values were obtained. This experiment is performed for 20 different values of length. Results: The power consumption of a pMos logic based comparator was minimum (2.2656 ± 0.37933), followed by the nMos logic based comparator (7.7494 ± 0.41603), the less power consumption seen in pMos logic based comparator significance (.955). Conclusion: The consumption of power by the constructed pMos logic based comparator appears to have less power consumption than the nMos logic based comparator.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"161 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78073344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reducing the Acrylamide Concentration in the Potato Chips Product by Using Sea Salt, Green Pepper and Thyme 用海盐、青椒和百里香降低薯片产品中丙烯酰胺的浓度
Alinteri Journal of Agriculture Sciences Pub Date : 2021-06-29 DOI: 10.47059/alinteri/v36i1/ajas21107
Raafat A. Abu - Almaaly, A. T. Al-Musawi
{"title":"Reducing the Acrylamide Concentration in the Potato Chips Product by Using Sea Salt, Green Pepper and Thyme","authors":"Raafat A. Abu - Almaaly, A. T. Al-Musawi","doi":"10.47059/alinteri/v36i1/ajas21107","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21107","url":null,"abstract":"The study was conducted to show the effect of adding different percentages of Sea Salt solution and aqueous extracts of green pepper and thyme individually or in combination, it reduces the Acrylamide content in the potato chips product when exposed to high temperatures during processing, potato slices were treated by soaking before frying with C1 (0.1, 0.2, 0.3) % Sea Salt solution and the aqueous extract of Green Pepper C2 and thyme C3 in proportions (1, 2,3)% and a mixture of the three additives C4, the treatment C was left to be the control, High performance liquid chromatography technology (HPLC) was used to estimate the concentration of acrylamide in the treatments, sensory evaluation to the parameters of taste, color, odor, texture and general acceptance was conducted, the results showed a clear decrease in the acrylamide concentration in the potato chips treatments by increasing the concentration of the additives, C4 treatment with the synergistic action of Sea Salt, thyme and Green Pepper outperformed all other treatments in decreasing the acrylamide concentration, The results were descending C4 > C2- 3% C3- 3% > C1- 3% amounting to 0.013, 0.024, 0.034 and 0.084, respectively, compared to the control treatment 0.522, the results of sensory evaluation recorded the highest degree of receptivity to the treatments by increasing the percentage of additives, and the results were descending C4 > C3> C2 compared to the control treatment.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"118 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88087926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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