Fizar Ahmed - Academia.edu (original) (raw)

Papers by Fizar Ahmed

2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES)

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)

2022 6th International Conference on Computing Methodologies and Communication (ICCMC)

There are many warehouses in our country. They do not have any calculation and track record of th... more There are many warehouses in our country. They do not have any calculation and track record of their warehouse's electricity cost and humidity. If they have access to their temperature, amplitude, volt, they can calculate the cost of their warehouse. Even though they have no idea about their warehouse humidity, that is why they sometimes face a large amount of loss. In this case, this is a massive problem for the store owner. Most of the people of our country are using an android operating system based mobile application. So, an android based phone and IoT based solution can solve this project's problem. If the owner can calculate their warehouse unit of electricity, they can make a massive profit from this. They reduce the losses and also save their products. The impact of using electricity for rural warehouse moisture control systems has opened a new era of modern warehouse systems. It is based on the IoT and is intended to make it easier to measure and regulate temperature and humidity. Using this warehouse humidity control system makes it possible to store and recover large amounts of crops without interruption. Our research for this project makes the model very easy to use and low cost. Though Bangladesh is an agricultural country, its economy and significant rural jobs depend on agriculture. However, there is a lack of moisture control system technology and knowledge in rural areas. For this, 33% of crops are spoiled every day using a manual moisture system. In this project, a modern moisture control system model using NodeMCU and DHT-11 sensor has been presented. The main goal of this project is to help the rural farmers in our country to save their valuable crops & give assurance to control humidity by using our projects. For this, our country will enrich foods and fulfil its internal demand. Besides, crops, seeds, and foods from different crops can be exported and earn much foreign exchange.

2022 6th International Conference on Computing Methodologies and Communication (ICCMC)

Bangladesh is an agricultural country, and it is the backbone of our nation. Agriculture employs ... more Bangladesh is an agricultural country, and it is the backbone of our nation. Agriculture employs over half of Bangladesh's people, and crops occupy more than 70% of the country's territory. More than 12 percent of revenue comes from the agriculture sector. But our lands are limited, and our population is growing day by day. That's it is required to increase the demand for crops continuously. So, it is a huge challenge to increase crop production. But our farmers face different types of problems during cultivation. They cannot justify which crop should be cultivated. Because of this, they did not get the expected yield. Machine learning plays a vital role in agricultural prediction. Crop prediction is a complex process. A massive amount of data is needed, like temperature, humidity, precipitation, wind speed, dew etc. In this system, different types of machine learning algorithms are applied and which algorithm gives better accuracy has been determined. Random Forest is found to give the best accuracy and so it is applied to the dataset. Weather data is collected from NASA Power Access Viewer and crop data from different sources. Then 80% data for training and 20% for testing are applied to this dataset. 91% accuracy has been attained from the Random Forest algorithm, which will help the farmer to decide which crop should be cultivated. It will increase crop production and remove hunger and poverty from our country.

2021 24th International Conference on Computer and Information Technology (ICCIT), 2021

Nowadays poultry is the best production of animal protein. With the amazing food diversity of Ban... more Nowadays poultry is the best production of animal protein. With the amazing food diversity of Bangladesh, poultry chicken has a great impact on our daily life. But some major diseases are hampering this industry frequently. Serpentine illness such as infected bursal disease is more prevalent followed by colibacillosis, Newcastle disease, salmonellosis, chronic breathing disease, Avian Influenza, coccidiosis, aspergillosis, omphalitis, fowl pox, nutritional deficiency. Machine learning can be a useful health care way and also poultry disease precaution and detection. In advanced computer science diseases like Avian Influenza, Newcastle Disease are harmful to chicken. In order to prevent harmful consequences, it is important to concentrate about poultry infection on our very initial stage. We use a few qualities to evaluate our analysis regarding poultry illness and this attribute is one of the key items of the following disease. Perhaps we implement eleven machine classifiers to measure analysis by employing the following technologies, Logistic Regression Classifier, Naive Bayes Classifier, Multilayer Classifier, Stochastic Gradient Classifier, r Random Forest classifier, Bagging Classifier, Decision Tree Classifier, K Nearest Neighbor Classifier, XGB Classifier, AdaBoost Classifier & Gradient Boosting Classifier. The method we employed here gives maximum precision. Decision Tree Classifier has the best outcome yet.

Market-Tržište, 2019

Purpose-This paper addresses the issues related to the practice of relationship marketing at the ... more Purpose-This paper addresses the issues related to the practice of relationship marketing at the organizational level. Considering the infl uence of various factors, this study off ers a theoretical framework necessary to create, maintain, and enhance the business relationship. Design/methodology/approach-The research is based on a systematic review of existing literature, including journal articles, subject-specifi c professional websites, and textbooks on relationship marketing. Literature reviews relating to the Nordic School, Industrial Marketing and Purchasing (IMP) Group Approach, and the North American School are included. Findings-The relationship marketing approach has evolved since the pre-industrial era, and more organizations are embracing this marketing stance in the current, post-industrial era. A theoretical framework that consists of infl uential variables for creating, maintaining, and enhancing relationships is proposed to explore this multidimensional construct. Information on proper con-Sažetak Svrha-U radu se istražuju problemi vezani uz praksu marketinga odnosa i suradnje na organizacijskoj razini. Uzimajući u obzir utjecaj različitih faktora, rad nudi teorijski okvir za stvaranje, održavanje i unapređenje poslovnog odnosa. Metodološki pristup-Istraživanje se temelji na sustavnom pregledu postojeće literature uključujući znanstvene članke iz časopisa, tematski vezane profesionalne web stranice i udžbenike o marketingu odnosa i suradnje. U pregled literature uključeni su pristupi istraživačkih inicijativa Nordic School, Industrial Marketing and Purchasing (IMP) Group te North American School. Rezultati i implikacije-Marketing odnosa i suradnje razvija se od predindustrijskog do poslijeindustrijskog vremena, a sve više organizacija prihvaća ovaj pristup. Za ovaj je multidimenzionalni konstrukt predložen teorijski okvir koji se sastoji od utjecajnih varijabli za stvaranje, održavanje i poboljšanje odnosa. Sintetiziraju se informacije o odgovarajućim uvjetima koje bi marketinš

2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021

Coronavirus (Covid-19) is a disease that spreads from one person to another very quickly. The who... more Coronavirus (Covid-19) is a disease that spreads from one person to another very quickly. The whole world is facing this Covid-19 pandemic now and Bangladesh is also not out of it. After the first wave, now the second wave is going on in Bangladesh. As the second wave is spreading faster than the first wave and the test process of Covid-19 is very time-consuming. As a result, before getting the test report, a person infected with Covid-19 and spreads this virus to other people as he doesn't know whether he is infected with Coronavirus or not. To create a dataset, we have asked some patients from our nearby people who live in Faridpur, Joypurhat, and Cumilla district and collected their data who have tested for Covid-19 during the second wave. We have collected some of their symptoms that appeared before their Covid-19 test. With this dataset, we have used some data mining approach to predict whether a patient is tested positive or negative. We have applied two algorithms here. Among them, Naive Bayes gives the highest accuracy which is 80%.

2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), 2021

As the number of people increases daily, the requirement for animal meat is also growing in the c... more As the number of people increases daily, the requirement for animal meat is also growing in the country. Therefore, the use of technology in the poultry industry is essential to meet all these needs adequately. IoT & Computer Vision Technology is playing a crucial role in the transformation of the poultry industry. IoT & Computer Vision Technology is advancing so much day by day that it will turn the poultry industry into a groundbreaking poultry industry. The primary function of a poultry farm is to produce meat and eggs. At present, the cost of meat and egg production in our country needs to be further reduced. Proper maintenance of poultry boilers increases meat and egg production. Still, poultry farmers in our country do not have a clear idea about smart poultry farms, so they cannot use innovative technology properly, but developed countries use smart technology. In addition to making more profit at a lower cost, they can meet the demand for animal meat of the people in their country. This paper’s main objective is to monitor poultry farms using IoT and computer vision technology and be aware of the poultry farm environment, which will help in transforming the poultry industry into a groundbreaking poultry industry.

International Journal of Computer Applications, 2017

International Journal of Computational Systems Engineering, 2013

Clustering is an unsupervised learning technique. K-means is one of the most popular clustering a... more Clustering is an unsupervised learning technique. K-means is one of the most popular clustering algorithms. K-means requires the number of clusters to be pre-specified. Finding the appropriate number of clusters for a dataset is a trial-and-error process made more difficult by the subjective nature of deciding what constitutes 'correct' clustering (Han and Kamber, 2000). The aim of K-means is to group the items into k clusters such that all items in same cluster are as similar to each other and items not in same cluster are as dissimilar as possible. Different distance measures can be applied to calculate similarity. Improving the performance of K means can be a very useful and make better clustering. Improvement of performance depends on factors which we need to explore and measure with experiments. Our paper has done this and studied and identified five influential factors for the performance improvement of K-means.

Lecture Notes in Business Information Processing, 2018

Efficient water management is a major concern in rice cropping. Controlling the use of excessive ... more Efficient water management is a major concern in rice cropping. Controlling the use of excessive water in irrigation field is essential for the protection of underground water that will also be the part of climate change adaptation. The sustainable use of water resources is the prior task in Bangladesh. Imbalances between demand and supply are the main region for degradation of surface and groundwater. The human readability of checking the water level on irrigation field is considerable for these circumstances. In this paper I discussed the procedure for monitoring of surface water level in irrigation field, continuous monitoring of weather condition like temperature, air pressure, sunlight, rainfall etc. by using sensor network. The aim is to create a machine learning mechanism for farmers that can be given a forecast of water demand of irrigation field by the collection of IoT based data. In turn, this will help the farmer to prepare them to give water and on the other hand it will be helpful to use appropriate ground water and also it can be used for predict energy utilization. In this research Multiple linear regression algorithm is used for this prediction. Data from the irrigation field of NorthWest part in Bangladesh is used here to find the result of prediction.

Efficient water management is a major concern in rice cropping. Controlling the use of excessive ... more Efficient water management is a major concern in rice cropping. Controlling the use of excessive water in irrigation field is essential for the protection of underground water that will also be the part of climate change adaptation. The sustainable use of water resources is the prior task in Bangladesh. Imbalances between demand and supply are the main region for degradation of surface and groundwater. The human readability of checking the water level on irrigation field is considerable for these circumstances. In this paper I discussed the procedure for monitoring of surface water level in irrigation field, continuous monitoring of weather condition like temperature, air pressure, sunlight, rainfall etc. by using sensor network. The aim is to create a machine learning mechanism for farmers that can be given a forecast of water demand of irrigation field by the collection of IoT based data. In turn, this will help the farmer to prepare them to give water and on the other hand it wil...

Lecture Notes in Business Information Processing

Digital transformations boosted by new technological innovations entail restructured industrial p... more Digital transformations boosted by new technological innovations entail restructured industrial processes and requalified skilled workers. Educational institutions must provide qualifications with learning outcomes fitting to these requirements. Nowadays skill gap analysis between both sides of labor market is a crucial research topic, but researchers mostly draw consequences from experts’ visions, trends in past data and not from systematic analysis. Educational institutions must gather information about competences required in the future to start transferring them these relevant knowledge in time. This paper presents an information system dedicated to estimate the importance of actual competences in the future based on different business scenarios.

2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES)

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)

2022 6th International Conference on Computing Methodologies and Communication (ICCMC)

There are many warehouses in our country. They do not have any calculation and track record of th... more There are many warehouses in our country. They do not have any calculation and track record of their warehouse's electricity cost and humidity. If they have access to their temperature, amplitude, volt, they can calculate the cost of their warehouse. Even though they have no idea about their warehouse humidity, that is why they sometimes face a large amount of loss. In this case, this is a massive problem for the store owner. Most of the people of our country are using an android operating system based mobile application. So, an android based phone and IoT based solution can solve this project's problem. If the owner can calculate their warehouse unit of electricity, they can make a massive profit from this. They reduce the losses and also save their products. The impact of using electricity for rural warehouse moisture control systems has opened a new era of modern warehouse systems. It is based on the IoT and is intended to make it easier to measure and regulate temperature and humidity. Using this warehouse humidity control system makes it possible to store and recover large amounts of crops without interruption. Our research for this project makes the model very easy to use and low cost. Though Bangladesh is an agricultural country, its economy and significant rural jobs depend on agriculture. However, there is a lack of moisture control system technology and knowledge in rural areas. For this, 33% of crops are spoiled every day using a manual moisture system. In this project, a modern moisture control system model using NodeMCU and DHT-11 sensor has been presented. The main goal of this project is to help the rural farmers in our country to save their valuable crops & give assurance to control humidity by using our projects. For this, our country will enrich foods and fulfil its internal demand. Besides, crops, seeds, and foods from different crops can be exported and earn much foreign exchange.

2022 6th International Conference on Computing Methodologies and Communication (ICCMC)

Bangladesh is an agricultural country, and it is the backbone of our nation. Agriculture employs ... more Bangladesh is an agricultural country, and it is the backbone of our nation. Agriculture employs over half of Bangladesh's people, and crops occupy more than 70% of the country's territory. More than 12 percent of revenue comes from the agriculture sector. But our lands are limited, and our population is growing day by day. That's it is required to increase the demand for crops continuously. So, it is a huge challenge to increase crop production. But our farmers face different types of problems during cultivation. They cannot justify which crop should be cultivated. Because of this, they did not get the expected yield. Machine learning plays a vital role in agricultural prediction. Crop prediction is a complex process. A massive amount of data is needed, like temperature, humidity, precipitation, wind speed, dew etc. In this system, different types of machine learning algorithms are applied and which algorithm gives better accuracy has been determined. Random Forest is found to give the best accuracy and so it is applied to the dataset. Weather data is collected from NASA Power Access Viewer and crop data from different sources. Then 80% data for training and 20% for testing are applied to this dataset. 91% accuracy has been attained from the Random Forest algorithm, which will help the farmer to decide which crop should be cultivated. It will increase crop production and remove hunger and poverty from our country.

2021 24th International Conference on Computer and Information Technology (ICCIT), 2021

Nowadays poultry is the best production of animal protein. With the amazing food diversity of Ban... more Nowadays poultry is the best production of animal protein. With the amazing food diversity of Bangladesh, poultry chicken has a great impact on our daily life. But some major diseases are hampering this industry frequently. Serpentine illness such as infected bursal disease is more prevalent followed by colibacillosis, Newcastle disease, salmonellosis, chronic breathing disease, Avian Influenza, coccidiosis, aspergillosis, omphalitis, fowl pox, nutritional deficiency. Machine learning can be a useful health care way and also poultry disease precaution and detection. In advanced computer science diseases like Avian Influenza, Newcastle Disease are harmful to chicken. In order to prevent harmful consequences, it is important to concentrate about poultry infection on our very initial stage. We use a few qualities to evaluate our analysis regarding poultry illness and this attribute is one of the key items of the following disease. Perhaps we implement eleven machine classifiers to measure analysis by employing the following technologies, Logistic Regression Classifier, Naive Bayes Classifier, Multilayer Classifier, Stochastic Gradient Classifier, r Random Forest classifier, Bagging Classifier, Decision Tree Classifier, K Nearest Neighbor Classifier, XGB Classifier, AdaBoost Classifier & Gradient Boosting Classifier. The method we employed here gives maximum precision. Decision Tree Classifier has the best outcome yet.

Market-Tržište, 2019

Purpose-This paper addresses the issues related to the practice of relationship marketing at the ... more Purpose-This paper addresses the issues related to the practice of relationship marketing at the organizational level. Considering the infl uence of various factors, this study off ers a theoretical framework necessary to create, maintain, and enhance the business relationship. Design/methodology/approach-The research is based on a systematic review of existing literature, including journal articles, subject-specifi c professional websites, and textbooks on relationship marketing. Literature reviews relating to the Nordic School, Industrial Marketing and Purchasing (IMP) Group Approach, and the North American School are included. Findings-The relationship marketing approach has evolved since the pre-industrial era, and more organizations are embracing this marketing stance in the current, post-industrial era. A theoretical framework that consists of infl uential variables for creating, maintaining, and enhancing relationships is proposed to explore this multidimensional construct. Information on proper con-Sažetak Svrha-U radu se istražuju problemi vezani uz praksu marketinga odnosa i suradnje na organizacijskoj razini. Uzimajući u obzir utjecaj različitih faktora, rad nudi teorijski okvir za stvaranje, održavanje i unapređenje poslovnog odnosa. Metodološki pristup-Istraživanje se temelji na sustavnom pregledu postojeće literature uključujući znanstvene članke iz časopisa, tematski vezane profesionalne web stranice i udžbenike o marketingu odnosa i suradnje. U pregled literature uključeni su pristupi istraživačkih inicijativa Nordic School, Industrial Marketing and Purchasing (IMP) Group te North American School. Rezultati i implikacije-Marketing odnosa i suradnje razvija se od predindustrijskog do poslijeindustrijskog vremena, a sve više organizacija prihvaća ovaj pristup. Za ovaj je multidimenzionalni konstrukt predložen teorijski okvir koji se sastoji od utjecajnih varijabli za stvaranje, održavanje i poboljšanje odnosa. Sintetiziraju se informacije o odgovarajućim uvjetima koje bi marketinš

2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021

Coronavirus (Covid-19) is a disease that spreads from one person to another very quickly. The who... more Coronavirus (Covid-19) is a disease that spreads from one person to another very quickly. The whole world is facing this Covid-19 pandemic now and Bangladesh is also not out of it. After the first wave, now the second wave is going on in Bangladesh. As the second wave is spreading faster than the first wave and the test process of Covid-19 is very time-consuming. As a result, before getting the test report, a person infected with Covid-19 and spreads this virus to other people as he doesn't know whether he is infected with Coronavirus or not. To create a dataset, we have asked some patients from our nearby people who live in Faridpur, Joypurhat, and Cumilla district and collected their data who have tested for Covid-19 during the second wave. We have collected some of their symptoms that appeared before their Covid-19 test. With this dataset, we have used some data mining approach to predict whether a patient is tested positive or negative. We have applied two algorithms here. Among them, Naive Bayes gives the highest accuracy which is 80%.

2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), 2021

As the number of people increases daily, the requirement for animal meat is also growing in the c... more As the number of people increases daily, the requirement for animal meat is also growing in the country. Therefore, the use of technology in the poultry industry is essential to meet all these needs adequately. IoT & Computer Vision Technology is playing a crucial role in the transformation of the poultry industry. IoT & Computer Vision Technology is advancing so much day by day that it will turn the poultry industry into a groundbreaking poultry industry. The primary function of a poultry farm is to produce meat and eggs. At present, the cost of meat and egg production in our country needs to be further reduced. Proper maintenance of poultry boilers increases meat and egg production. Still, poultry farmers in our country do not have a clear idea about smart poultry farms, so they cannot use innovative technology properly, but developed countries use smart technology. In addition to making more profit at a lower cost, they can meet the demand for animal meat of the people in their country. This paper’s main objective is to monitor poultry farms using IoT and computer vision technology and be aware of the poultry farm environment, which will help in transforming the poultry industry into a groundbreaking poultry industry.

International Journal of Computer Applications, 2017

International Journal of Computational Systems Engineering, 2013

Clustering is an unsupervised learning technique. K-means is one of the most popular clustering a... more Clustering is an unsupervised learning technique. K-means is one of the most popular clustering algorithms. K-means requires the number of clusters to be pre-specified. Finding the appropriate number of clusters for a dataset is a trial-and-error process made more difficult by the subjective nature of deciding what constitutes 'correct' clustering (Han and Kamber, 2000). The aim of K-means is to group the items into k clusters such that all items in same cluster are as similar to each other and items not in same cluster are as dissimilar as possible. Different distance measures can be applied to calculate similarity. Improving the performance of K means can be a very useful and make better clustering. Improvement of performance depends on factors which we need to explore and measure with experiments. Our paper has done this and studied and identified five influential factors for the performance improvement of K-means.

Lecture Notes in Business Information Processing, 2018

Efficient water management is a major concern in rice cropping. Controlling the use of excessive ... more Efficient water management is a major concern in rice cropping. Controlling the use of excessive water in irrigation field is essential for the protection of underground water that will also be the part of climate change adaptation. The sustainable use of water resources is the prior task in Bangladesh. Imbalances between demand and supply are the main region for degradation of surface and groundwater. The human readability of checking the water level on irrigation field is considerable for these circumstances. In this paper I discussed the procedure for monitoring of surface water level in irrigation field, continuous monitoring of weather condition like temperature, air pressure, sunlight, rainfall etc. by using sensor network. The aim is to create a machine learning mechanism for farmers that can be given a forecast of water demand of irrigation field by the collection of IoT based data. In turn, this will help the farmer to prepare them to give water and on the other hand it will be helpful to use appropriate ground water and also it can be used for predict energy utilization. In this research Multiple linear regression algorithm is used for this prediction. Data from the irrigation field of NorthWest part in Bangladesh is used here to find the result of prediction.

Efficient water management is a major concern in rice cropping. Controlling the use of excessive ... more Efficient water management is a major concern in rice cropping. Controlling the use of excessive water in irrigation field is essential for the protection of underground water that will also be the part of climate change adaptation. The sustainable use of water resources is the prior task in Bangladesh. Imbalances between demand and supply are the main region for degradation of surface and groundwater. The human readability of checking the water level on irrigation field is considerable for these circumstances. In this paper I discussed the procedure for monitoring of surface water level in irrigation field, continuous monitoring of weather condition like temperature, air pressure, sunlight, rainfall etc. by using sensor network. The aim is to create a machine learning mechanism for farmers that can be given a forecast of water demand of irrigation field by the collection of IoT based data. In turn, this will help the farmer to prepare them to give water and on the other hand it wil...

Lecture Notes in Business Information Processing

Digital transformations boosted by new technological innovations entail restructured industrial p... more Digital transformations boosted by new technological innovations entail restructured industrial processes and requalified skilled workers. Educational institutions must provide qualifications with learning outcomes fitting to these requirements. Nowadays skill gap analysis between both sides of labor market is a crucial research topic, but researchers mostly draw consequences from experts’ visions, trends in past data and not from systematic analysis. Educational institutions must gather information about competences required in the future to start transferring them these relevant knowledge in time. This paper presents an information system dedicated to estimate the importance of actual competences in the future based on different business scenarios.