Pub Date : 2021-06-22DOI: 10.47059/alinteri/v36i1/ajas21067
Nusrat Batool, Z. A. Dada, S. A. Shah, S. Ganai
Tourism in eco-destinations contributes to overall well-being of local people and at the same time affects these destinations in an adverse manner as a result of anthropocentric activities. It becomes imperative to understand the relational dynamics between environmental concern and vulnerable ecotourism regions to find out viable solutions for achieving sustainability. The purpose of this paper is to develop a comprehensive literature review. The paper aims to understand the arguments on environmental concern research that addresses the impact of knowledge, attitude, behavioural intentions and values on the tourists in the eco-tourism destination regions by conducting a systematic review of peer-reviewed research publications from the year 1995 to 2018. The study reveals that there is a strong association between the environmental concern of tourists and the eco-tourism destination regions, and further depicts that the environmental concern of tourists positively affects the destination regions. The current review finds out that building environmental concern and awareness among tourists has a strong potential to achieve environmental sustainability and local community development.
{"title":"Interactive Relationship between the Environmental Concern and the Eco-Tourism Destination Regions: A Literature Review","authors":"Nusrat Batool, Z. A. Dada, S. A. Shah, S. Ganai","doi":"10.47059/alinteri/v36i1/ajas21067","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21067","url":null,"abstract":"Tourism in eco-destinations contributes to overall well-being of local people and at the same time affects these destinations in an adverse manner as a result of anthropocentric activities. It becomes imperative to understand the relational dynamics between environmental concern and vulnerable ecotourism regions to find out viable solutions for achieving sustainability. The purpose of this paper is to develop a comprehensive literature review. The paper aims to understand the arguments on environmental concern research that addresses the impact of knowledge, attitude, behavioural intentions and values on the tourists in the eco-tourism destination regions by conducting a systematic review of peer-reviewed research publications from the year 1995 to 2018. The study reveals that there is a strong association between the environmental concern of tourists and the eco-tourism destination regions, and further depicts that the environmental concern of tourists positively affects the destination regions. The current review finds out that building environmental concern and awareness among tourists has a strong potential to achieve environmental sustainability and local community development.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84275232","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}
Pub Date : 2021-06-22DOI: 10.47059/alinteri/v36i1/ajas21061
N. D. Trung, D. Huy, N. T. Hang, Leng Ha
In this study, authors aim to figure out the effectiveness of the food and drink process in the case of making lychee juice and lychee-tea combination fruit juice in a tropical country such as Vietnam, via a business model, with inputs, process, and outputs. We used scientific methods such as: qualitative analysis, synthesis and inductive methods, with description and explanatory methods. We also build a typical quantitative business model to measure profits of our lychee project. We propose to buy lychee (red lychee) with black tea from Northern provinces such as Thai Nguyen city, Hai Duong and Ha Giang provinces, etc. Then we can have a business model of making fruit juice from lychee products (red lychee with green or black tea). This will shows effectiveness of delicious food and drink making from good agricultural products of Vietnam. Last but not least, we emphasizes positive and healthy aspects of lychee products and lychee fruit juice in our country, Vietnam. And also roles of banks in project financing is also a good way to support microfinancing for star-ups and our business model.
{"title":"Effective Management Via a Business Model of Food and Drink Processing from Lychee Products in the Northern Areas of Vietnam","authors":"N. D. Trung, D. Huy, N. T. Hang, Leng Ha","doi":"10.47059/alinteri/v36i1/ajas21061","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21061","url":null,"abstract":"In this study, authors aim to figure out the effectiveness of the food and drink process in the case of making lychee juice and lychee-tea combination fruit juice in a tropical country such as Vietnam, via a business model, with inputs, process, and outputs. We used scientific methods such as: qualitative analysis, synthesis and inductive methods, with description and explanatory methods. We also build a typical quantitative business model to measure profits of our lychee project. We propose to buy lychee (red lychee) with black tea from Northern provinces such as Thai Nguyen city, Hai Duong and Ha Giang provinces, etc. Then we can have a business model of making fruit juice from lychee products (red lychee with green or black tea). This will shows effectiveness of delicious food and drink making from good agricultural products of Vietnam. Last but not least, we emphasizes positive and healthy aspects of lychee products and lychee fruit juice in our country, Vietnam. And also roles of banks in project financing is also a good way to support microfinancing for star-ups and our business model.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78777547","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}
Pub Date : 2021-06-22DOI: 10.47059/alinteri/v36i1/ajas21075
Ahmad Asyraf Rosli, M. Razif, Omar Abu Hassan, Nor Shah, I. N. A. M. Nordin, Khairul Nizam Mustafa
The Internet of Things (IoT) with its enormous growth widens its applications to the living environment of the people by changing a home to a smart home. The smart home is a system, which connect homes with various types of digital devices to communicate with each other through the internet. Based on our prior study, 59% of the respondent among Malaysians are unaware about the IoT or just heard about it without knowing its concept. Thus, this project will present a development of a smart home system based on mobile apps control using IoT to educate Malaysian. This project uses a combination of wireless technology and infrared sensor to detect the motion and a microcontroller to control the usage of appliances in the home. Blynk as a mobile app has been programmed and used to control and display the usage of LED, fan and camera. The output of the appliances will be displayed on the Blynk in kind of LED icon and stream video. The IoT system has been successfully developed and able to follow the instruction given. The LED, fan and camera will turn ON when the switch button in Blynk is pressed. The system has a limited range of operation because it depends on the Wi-Fi signal range, which is about 50 meters of the developed smart home using IoT control. The proposed smart home prototype is useful in the education sector to expose all Malaysian to the current technology especially students and staffs in the university.
物联网(Internet of Things, IoT)的迅猛发展，将家居转变为智能家居，将其应用范围扩大到人们的生活环境中。智能家居是将家庭与各种数字设备连接起来，通过互联网相互通信的系统。根据我们之前的研究，59%的马来西亚受访者不知道物联网，或者只是听说过物联网，但不知道它的概念。因此，该项目将展示一个基于移动应用程序控制的智能家居系统的开发，利用物联网来教育马来西亚人。本项目采用无线技术和红外传感器相结合来检测运动，并使用微控制器来控制家用电器的使用。Blynk作为一个移动应用程序已经被编程并用于控制和显示LED，风扇和摄像头的使用情况。设备的输出将以LED图标和流视频的形式显示在Blynk上。物联网系统已经成功开发，并能够遵循给出的指令。当按下Blynk中的开关按钮时，LED，风扇和摄像头将打开。该系统依赖于Wi-Fi信号范围，使用物联网控制的智能家居的Wi-Fi信号范围约为50米，因此运行范围有限。拟议的智能家居原型在教育部门很有用，让所有马来西亚人都能接触到当前的技术，尤其是大学的学生和员工。
{"title":"Development of Smart Home System based on Mobile Apps Control Using IoT for Educational Purposes","authors":"Ahmad Asyraf Rosli, M. Razif, Omar Abu Hassan, Nor Shah, I. N. A. M. Nordin, Khairul Nizam Mustafa","doi":"10.47059/alinteri/v36i1/ajas21075","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21075","url":null,"abstract":"The Internet of Things (IoT) with its enormous growth widens its applications to the living environment of the people by changing a home to a smart home. The smart home is a system, which connect homes with various types of digital devices to communicate with each other through the internet. Based on our prior study, 59% of the respondent among Malaysians are unaware about the IoT or just heard about it without knowing its concept. Thus, this project will present a development of a smart home system based on mobile apps control using IoT to educate Malaysian. This project uses a combination of wireless technology and infrared sensor to detect the motion and a microcontroller to control the usage of appliances in the home. Blynk as a mobile app has been programmed and used to control and display the usage of LED, fan and camera. The output of the appliances will be displayed on the Blynk in kind of LED icon and stream video. The IoT system has been successfully developed and able to follow the instruction given. The LED, fan and camera will turn ON when the switch button in Blynk is pressed. The system has a limited range of operation because it depends on the Wi-Fi signal range, which is about 50 meters of the developed smart home using IoT control. The proposed smart home prototype is useful in the education sector to expose all Malaysian to the current technology especially students and staffs in the university.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"143 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75853360","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}
Pub Date : 2021-06-22DOI: 10.47059/alinteri/v36i1/ajas21062
S. Muthukumaran, M. Ganesan, J. Dhanasekar, G. Loganathan
Finding collision-free paths and optimized path coverage over an agricultural landscape has been a critical research problem among scientists and researchers over the years. Key precision farming strategies such as seeding, spraying fertilizers, and harvesting require special path planning techniques for efficient operations and will directly influence reducing the running cost of the farm. The main objective of this research work is to generate an optimized sequential route in an agricultural landscape with the nominal distance. In this proposed work, a novel Hybrid Dragonfly – Cuckoo Search algorithm is proposed and implemented to generate the sequential route for achieving spraying applications in greenhouse environments. Here the agricultural routing problem is expressed as a Travelling Salesman Problem, and the simulations are performed to find the effectiveness of the proposed algorithm. The proposed algorithm has generated better results when compared with other computational techniques such as PSO in terms of both solution quality and computational efficiency.
{"title":"Path Planning Optimization for Agricultural Spraying Robots Using Hybrid Dragonfly – Cuckoo Search Algorithm","authors":"S. Muthukumaran, M. Ganesan, J. Dhanasekar, G. Loganathan","doi":"10.47059/alinteri/v36i1/ajas21062","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21062","url":null,"abstract":"Finding collision-free paths and optimized path coverage over an agricultural landscape has been a critical research problem among scientists and researchers over the years. Key precision farming strategies such as seeding, spraying fertilizers, and harvesting require special path planning techniques for efficient operations and will directly influence reducing the running cost of the farm. The main objective of this research work is to generate an optimized sequential route in an agricultural landscape with the nominal distance. In this proposed work, a novel Hybrid Dragonfly – Cuckoo Search algorithm is proposed and implemented to generate the sequential route for achieving spraying applications in greenhouse environments. Here the agricultural routing problem is expressed as a Travelling Salesman Problem, and the simulations are performed to find the effectiveness of the proposed algorithm. The proposed algorithm has generated better results when compared with other computational techniques such as PSO in terms of both solution quality and computational efficiency.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74874310","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}
The main criterion for successful endodontic treatment is thorough cleaning of the root canal from microorganisms. Modern technologies are being developed to decontaminate the root canal system due to local temperature increase. High-frequency monopolar diathermocoagulation refers to one of these technologies. Aim. To determine the optimal parameters of monopolar high-frequency diathermocoagulation providing a distinct antibacterial effect and which are safe for the surrounding tissues in endodontic dental treatment. Materials and methods. Root canals of single-root removed teeth from the group of upper and lower jaw incisors (12 samples). The DC-35 MS device (2640 kHz, 1. 5 kOhm) was used to study various modes of high-frequency monopolar diathermocoagulation. 6 exposure modes were studied. To determine the heating degree of the tooth root surface, thermometry using a compact infrared radiation converter of the Seek Thermal imager was used, and a remote infrared thermometer Testo 830-T1 was used for temperature monitoring. After determining of the diathermocoagulation modes that are not able to cause significant heating of the surrounding tooth tissues, the antibacterial effect of diathermocoagulation in these modes was studied. To do this, we used clinical strains of optionally anaerobic bacteria obtained from the teeth root canals in pulpitis: Streptococcus sanguis, Streptococcus mutans, Enterococcus faecalis, Escherichia coli and yeast-like fungi Candida albicans. Results. When performing diathermocoagulation of the root canal contents, the third, fourth and sixth modes of the device settings with the power given to the tissue within three seconds of energy in the range of 3.06 W to 5.4 W are safe for the tissues surrounding the tooth root. When treating root canals in the third and sixth modes, the power of diathermocoagulation is 5.4 W and 4.1 W. A multiple, significant decrease in microbial contamination of root canals by all kinds of pathogenic optional anaerobic microflora obtained from the teeth root canals in pulpitis was found.
{"title":"Determining of the Most Optimal Parameters of Monopolar High Frequency Diathermocoagulation in Endodontic Practice","authors":"Daurova Fatima Yuryevna, Tomaeva Diana Islanbekovna, Gasanova Zarema Magomedovna, Butaeva Natalia Taymurazovna, Podkopaeva Svetlana Vasilevna, Taptun Yulia Alexandrovna, D. Tomaeva","doi":"10.47059/ALINTERI/V36I1/AJAS21037","DOIUrl":"https://doi.org/10.47059/ALINTERI/V36I1/AJAS21037","url":null,"abstract":"The main criterion for successful endodontic treatment is thorough cleaning of the root canal from microorganisms. Modern technologies are being developed to decontaminate the root canal system due to local temperature increase. High-frequency monopolar diathermocoagulation refers to one of these technologies. Aim. To determine the optimal parameters of monopolar high-frequency diathermocoagulation providing a distinct antibacterial effect and which are safe for the surrounding tissues in endodontic dental treatment. Materials and methods. Root canals of single-root removed teeth from the group of upper and lower jaw incisors (12 samples). The DC-35 MS device (2640 kHz, 1. 5 kOhm) was used to study various modes of high-frequency monopolar diathermocoagulation. 6 exposure modes were studied. To determine the heating degree of the tooth root surface, thermometry using a compact infrared radiation converter of the Seek Thermal imager was used, and a remote infrared thermometer Testo 830-T1 was used for temperature monitoring. After determining of the diathermocoagulation modes that are not able to cause significant heating of the surrounding tooth tissues, the antibacterial effect of diathermocoagulation in these modes was studied. To do this, we used clinical strains of optionally anaerobic bacteria obtained from the teeth root canals in pulpitis: Streptococcus sanguis, Streptococcus mutans, Enterococcus faecalis, Escherichia coli and yeast-like fungi Candida albicans. Results. When performing diathermocoagulation of the root canal contents, the third, fourth and sixth modes of the device settings with the power given to the tissue within three seconds of energy in the range of 3.06 W to 5.4 W are safe for the tissues surrounding the tooth root. When treating root canals in the third and sixth modes, the power of diathermocoagulation is 5.4 W and 4.1 W. A multiple, significant decrease in microbial contamination of root canals by all kinds of pathogenic optional anaerobic microflora obtained from the teeth root canals in pulpitis was found.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83535545","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}
Pub Date : 2021-05-17DOI: 10.47059/ALINTERI/V36I1/AJAS21039
S. Ravi, Dr.M. Sambath, Dr.J. Thangakumar, D. Kumar, Gorantla Naveen, Makka Bramiah
As big data becomes more prevalent in the healthcare and medical sectors, accurate medical data collection benefits early diagnosis of heart disease, hospital treatment, and government resources. However, where medical data quality is lacking, understanding accuracy suffers. Consequently, some field diseases have unique features in different regions, which can make illness more difficult. It is now more hard to predict outbreaks. We automate machine learning algorithms for efficient epidemic detection in bacterial infection population in this paper. We put the modified forecasts to the test using securely and efficiently datasets. areas of the region to improve the situation of lost data, we use a predictive modeling approach to restore inaccurate value. Focused upon its patient's signs, a heart attack is suspected. Models were built using machine learning techniques. As a consequence, the accuracy is pinpoint accurate. The Flask web interface is used to build the Application. In this research, we shall conduct experiments using machine learning methods.
{"title":"Prediction of Heart Disease Using Machine Learning Algorithms","authors":"S. Ravi, Dr.M. Sambath, Dr.J. Thangakumar, D. Kumar, Gorantla Naveen, Makka Bramiah","doi":"10.47059/ALINTERI/V36I1/AJAS21039","DOIUrl":"https://doi.org/10.47059/ALINTERI/V36I1/AJAS21039","url":null,"abstract":"As big data becomes more prevalent in the healthcare and medical sectors, accurate medical data collection benefits early diagnosis of heart disease, hospital treatment, and government resources. However, where medical data quality is lacking, understanding accuracy suffers. Consequently, some field diseases have unique features in different regions, which can make illness more difficult. It is now more hard to predict outbreaks. We automate machine learning algorithms for efficient epidemic detection in bacterial infection population in this paper. We put the modified forecasts to the test using securely and efficiently datasets. areas of the region to improve the situation of lost data, we use a predictive modeling approach to restore inaccurate value. Focused upon its patient's signs, a heart attack is suspected. Models were built using machine learning techniques. As a consequence, the accuracy is pinpoint accurate. The Flask web interface is used to build the Application. In this research, we shall conduct experiments using machine learning methods.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90211760","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}
Pub Date : 2021-05-09DOI: 10.47750/CIBG.2021.27.04.022
K. Rojasri, A. Deepak
Aim: Efficiency of Glass (protective layer) based solar cells and ZnO (protective layer) based solar cells was obtained by varying thickness (1000 nm to 6600 nm) of protective layer. Materials and Methods: Efficiency of Glass (protective layer) based solar cells (n = 57) was compared with ZnO (protective layer) based solar cells (n = 57) by varying thickness of protective layer ranging from 1000nm to 6600nm in the Nano hub Simulation environment. Results: ZnO (protective layer) based solar cell has significantly higher efficiency (21.17%) than Glass (protective layer) based solar cell (20.21%). Conclusion: Within the limits of this study, ZnO (protective layer) based solar cells offer better efficiency.
{"title":"Simulation of Absorption Spectra and Comparing Efficiency of Glass and ZnO (Protective Layer) based Solar Cell for Green Energy","authors":"K. Rojasri, A. Deepak","doi":"10.47750/CIBG.2021.27.04.022","DOIUrl":"https://doi.org/10.47750/CIBG.2021.27.04.022","url":null,"abstract":"Aim: Efficiency of Glass (protective layer) based solar cells and ZnO (protective layer) based solar cells was obtained by varying thickness (1000 nm to 6600 nm) of protective layer. Materials and Methods: Efficiency of Glass (protective layer) based solar cells (n = 57) was compared with ZnO (protective layer) based solar cells (n = 57) by varying thickness of protective layer ranging from 1000nm to 6600nm in the Nano hub Simulation environment. Results: ZnO (protective layer) based solar cell has significantly higher efficiency (21.17%) than Glass (protective layer) based solar cell (20.21%). Conclusion: Within the limits of this study, ZnO (protective layer) based solar cells offer better efficiency.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81687294","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}
Pub Date : 2021-04-15DOI: 10.47750/CIBG.2021.27.04.023
Yaddala Thanusha, S. VickramA
Aim: The major aim of this study is to compare Zinc (Zn) concentration present in human seminal plasma of asthenospermia (motility issues) and normospermia semen samples for identification of clinical relevance. Materials and Methods: Semen samples of normospermia (N=75), asthenospermia (N=75) were collected and semen analysis report has been done by standard world health organization protocol. Zn concentration was evaluated by using atomic absorption spectroscopy (AAS) for both the groups by using standard protocol. Results: Independent sample T-test on fertile and infertile men (asthenospermia and normospermia group) reveals that the zinc concentration is statistically insignificant (P=0.367). Zinc concentration was found to be high in normospermia (mean 2.5 mg/ml) over asthenospermia (mean 0.90 mg/ml) samples. Conclusion: Zn being an essential element for normal functioning for fertilization, its absence or less concentration may lead to infertility. We found high concentration of Zn in normospermia which reflects normal conditions for fertilization and less concentration in asthenospermia reflecting infertile conditions.
{"title":"Analysis and Comparison of Zinc Micro Element Concentration Present in Human Seminal Plasma of Asthenospermia and Normospermia Conditions Using Atomic Absorption Spectroscopy for Male Infertility Diagnosis Related to Motility Issues","authors":"Yaddala Thanusha, S. VickramA","doi":"10.47750/CIBG.2021.27.04.023","DOIUrl":"https://doi.org/10.47750/CIBG.2021.27.04.023","url":null,"abstract":"Aim: The major aim of this study is to compare Zinc (Zn) concentration present in human seminal plasma of asthenospermia (motility issues) and normospermia semen samples for identification of clinical relevance. Materials and Methods: Semen samples of normospermia (N=75), asthenospermia (N=75) were collected and semen analysis report has been done by standard world health organization protocol. Zn concentration was evaluated by using atomic absorption spectroscopy (AAS) for both the groups by using standard protocol. Results: Independent sample T-test on fertile and infertile men (asthenospermia and normospermia group) reveals that the zinc concentration is statistically insignificant (P=0.367). Zinc concentration was found to be high in normospermia (mean 2.5 mg/ml) over asthenospermia (mean 0.90 mg/ml) samples. Conclusion: Zn being an essential element for normal functioning for fertilization, its absence or less concentration may lead to infertility. We found high concentration of Zn in normospermia which reflects normal conditions for fertilization and less concentration in asthenospermia reflecting infertile conditions.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83230113","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}
Pub Date : 2021-04-14DOI: 10.47059/alinteri/v36i1/ajas21087
P. Harish, Dr.R. Sabitha
Aim: The objective of the work is to evaluate the accuracy and precision in predicting the heart disease using Support Vector Machine (SVM) and Random Forest (RF) classification algorithms. Materials and Methods: Random Forest Classifier is applied on a Health dataset that consists of 304 records. A framework for heart disease prediction in the medical sector comparing Random Forest and SVM classifiers has been proposed and developed. The sample size was measured as 21 per group. The accuracy and the precision of the classifiers was evaluated and recorded. Results: The SVM classifier produces 53.04% in predicting the heart disease on the data set used whereas the Random forest classifier predicts the same at the rate of 83.2%. The significant value is 0.0. Hence RF is better than SVM. Conclusion: The performance of Random forest is better compared with SVM in terms of both precision and accuracy.
{"title":"Improving the Efficiency of Heart Disease Prediction Using SVM and a Novel Tree Specific Random Forest Classifier (NTSRF)","authors":"P. Harish, Dr.R. Sabitha","doi":"10.47059/alinteri/v36i1/ajas21087","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21087","url":null,"abstract":"Aim: The objective of the work is to evaluate the accuracy and precision in predicting the heart disease using Support Vector Machine (SVM) and Random Forest (RF) classification algorithms. Materials and Methods: Random Forest Classifier is applied on a Health dataset that consists of 304 records. A framework for heart disease prediction in the medical sector comparing Random Forest and SVM classifiers has been proposed and developed. The sample size was measured as 21 per group. The accuracy and the precision of the classifiers was evaluated and recorded. Results: The SVM classifier produces 53.04% in predicting the heart disease on the data set used whereas the Random forest classifier predicts the same at the rate of 83.2%. The significant value is 0.0. Hence RF is better than SVM. Conclusion: The performance of Random forest is better compared with SVM in terms of both precision and accuracy.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84625528","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}
Pub Date : 2021-04-09DOI: 10.47750/CIBG.2021.27.04.016
D. Niharika, J. Mohana
Aim: In this paper, the main aim is to detect fire using a novel frame difference method and compare it with conventional method. This is based on video processing and computational methods to reduce the computational complexity. Materials and method: The method was performed over a sample size of 20. Same samples were applied for both the control group and experimental group. Improved accuracy detection was obtained using the proposed method. Results: The Accuracy and precision was found (94.03, 64.62) and (86.24,57.19) was obtained for the frame difference method and conventional method. It also shows a significance of 0.048 for accuracy and 0.018 for precision which is less than 0.05. Conclusion: It would be concluded that the frame difference method is producing high accuracy and precision when compared with the Vibe method. It is applicable for monitoring systems and home security.
{"title":"Frame Difference Method to Detect Fire and Compare the Accuracy and Precision with Vibe Method","authors":"D. Niharika, J. Mohana","doi":"10.47750/CIBG.2021.27.04.016","DOIUrl":"https://doi.org/10.47750/CIBG.2021.27.04.016","url":null,"abstract":"Aim: In this paper, the main aim is to detect fire using a novel frame difference method and compare it with conventional method. This is based on video processing and computational methods to reduce the computational complexity. Materials and method: The method was performed over a sample size of 20. Same samples were applied for both the control group and experimental group. Improved accuracy detection was obtained using the proposed method. Results: The Accuracy and precision was found (94.03, 64.62) and (86.24,57.19) was obtained for the frame difference method and conventional method. It also shows a significance of 0.048 for accuracy and 0.018 for precision which is less than 0.05. Conclusion: It would be concluded that the frame difference method is producing high accuracy and precision when compared with the Vibe method. It is applicable for monitoring systems and home security.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72417718","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}
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