8887 research outputs found
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Analysis of retail loan management of Jamuna Bank Limited
No full textThis internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2018.Cataloged from PDF version of internship report.Includes bibliographical references (page 20).The report I made is basically for the internship program of BRAC University, under BBA program. The data of this report has been taken through a small survey of the customers of Jamuna Bank Limited. I have applied all the practical knowledge that I have earned for my B.B.A life in BRAC University to prepare this report. I gathered knowledge of day-to-day banking operations and different banking functions on my way to complete the internship. The purpose of doing this study is to acquire knowledge about the retail loan management of the credit department of Jamuna Bank Ltd. Both essential and optional wellsprings of information have been utilized to comprise this report. The first portion of this report describes the company profile including Jamuna Bank’s history, their vision, mission and strategy, products and services, and operational network organ gram. The next part is focused on working experience of my internship period at credit department division of Jamuna Bank Limited. Third part of this report consists of the description of the project. It also explains the procedure of loan recover policy, risks and other legal formalities. The last segment of this report describes findings, results and discussion, conclusion, references.Khadiza IslamB. Business Administratio
Machine learning as an indicator for breast cancer prediction
No full textIncludes bibliographical references (pages 53-54).Cataloged from PDF version of thesis.This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.Affecting roughly around 10 percent of the women across the globe in some stage of their
lives,Breast Cancer has stood out to be one of the most feared and frequently occurring
cancers at present among women[1]. While the cure for this cancer is now available in almost
all first world and some of the third world nations,the main dilemma takes place when the
cancer can not be correctly identified at the very initial stages. Machine Learning,in this field
has proved to play a vital role in predicting diseases such as cancers alike.Classification and
data mining methods so far have been reliant and an effective way to classify data.Especially
in medical field,these methods have been used to predict and to make decisions.In this
paper,we have successfully used six classification techniques in the form of Decision Tree,
K-Neighbors, Linear Discriminant Analysis(LDA), Logistic Regression, Naïve Bayes and
Support Vector Machine(SVM)on the Wiscons in Breast Cancer(original)data sets,both
before and after applying Principal Component Analysis.The main objective is to assess the
correctness in classifying data with respect to efficiency and effectiveness of each algorithm
in terms of accuracy,precision,recall,specificity and F1 Score. Experimental results have
shown that Logistic Regression(recal score=1.000)and Support Vector Analysis(recall
score =1.000)with PCA performs better when it comes to Breast Cancer Prediction for his
data set.
Keywords:Classification;Decision tree;Machine learning;Support vector machine;
Principal Component Analysis,Recall,10-Fold cross-validationTahsin Mohamed ShadmanFahim Shahriar AkashMayaz AhmedB. Computer Science and Engineerin
Developing 1SF (1 Sales Force) app for Unilever's field employees to manage HR Life-cycle in a single digital platform
No full textThis internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2018.Cataloged from PDF version of internship report.Includes bibliographical references (page 32).Unilever Bangladesh is one of the renowned and biggest Multinational Companies, MNC, in Bangladesh as well as the world. The Unilever Bangladesh Limited is consumer goods company based in Dhaka, Bangladesh and founded in 1964, engaged in the manufacture and distribution of home care products, personal care products, and foods. There are 3 Major Categories, 3CS which are Home-care like vim, surf-excel etc, Personal-care like Dove, Fair & lovely, life-buoy, Lux etc & food and water purifier like Pure-it, Taaza, Knorr. Under these 3Cs, there are 22 different categories.
My topic entails a new entity of Unilever, 1SF, 1 Sales Force, which is a digital app mainly focused for S/SOs (Senior Sales Executives/ Sales Executives) and FSEs (Field Sales Executives) who can have all the options in that single app. From attendance to leave or target to be met, everything will be notified in the app. By taking the topic, I wanted to know more about the new customized app and develop it by implementing new attributes and tackle glitches as the app is in its incubation period. The main problems rise due to inexperienced users and a totally new app that still is yet to be made smooth 100%. plus, not every operating system supports the app as per designs and planned. Many tabs are old and got obsolete and other problems are there in the sideways too.
This report is solely based on first-hand information and data provided by managers of Ares/Territories and 3P Recruiters (3rd party recruiters). All the information is being taken and included from the last quarter and everything is up to date. There are rectifications and amendments made on the course of developing the app in its incubation period and a lot of points and opinions are there as add-ons but I have kept the report very neutral keeping every party associated with the app in mind.
The research done by (R.K.Pradha, Kesari Jena, 2016) was conducted on random employees both in the headquarter and the field. The initial analysis of content validity ratio (CVR) of the instrument had resulted in 38 items having CVR value of 0.49 and above with 75 percent acceptability from expert analysis.
My report has a tremendous amount of data information regarding every employee who are out in the field, not in the Headquarter. All the names, numbers and other information along
"Developing 1SF (1 Sales Force) app for Unilever's Field Employees to manage HR Life-cycle in a single digital platform".
with designation were handled and assessed for performance evaluation which is a core feature of the app 1SF.
The data collection system is mainly secondary as all the data were previously entered and structured in the database. However, new data keep coming every day which we need to extract out from the market from area coordinators and managers. So that is my primary source of information collection.
E-school is another project of mine that has been assigned by Unilever under Customer Development Department.
Unilever always values its employees and ensures the best for all of them to succeed in life. Along with the need and availability with every passing day, Unilever is not only prioritizing its managers but all the field workers as well so that they get the opportunity to grow their potentials. With the passing time and in this digitalized era, essential things are just available within the grasp of hand.
Along with the study, my team has come through many hurdles and hiccups. We have to acknowledge that our main project is in incubation period and will be easily usable at the end of the year for all. In my report I could cover certain aspects of the 1SF app and E-school but not all as the project will still be ongoing after you read the report.
I have recommended, adaption is important than implementation. Extensive trainings should be given to each and every DFFs possible and give them some time to adapt. During that time, they should be strictly monitored so that they are well adapted to the whole scenario.
The face recognition process has to be tailored keeping the DFFs in mind. Not all the DFFs own phones with high resolution front camera. As a result, the face recognition might not identify the face and the DFF has to login manually. So, the accuracy level of face recognition should be lower up so that almost everyone can log-in without any hurdle. I feel that all the database should be flexible and have to be updated every month as many employees get swapped. It is because many field workers leave and enter the workforce on almost daily basis. There are alternative ways to make the interface easier as it had different portals and new amendments meant for the comfort of the DFFs. Many aspects and entities like leave icon and process are altered to make life easier.
However, if the training and adaption is being done properly then this whole project will be a huge success.Shoron RahmanB. Business Administratio
An experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university students
No full textThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.Includes bibliographical references (pages 34-36).Cataloged from PDF version of thesis.The tormenting hurdle that is slowly isolating the youth of this generation from being
leaders of tomorrow, is depression. In recent times, students have been observed to indulge
in compulsive use of Internet which has a relation to the massive upsurge of depressed
individuals among the youth. Hence, the main and foremost objective of this research is
to find correlation among the leading disorders which are Internet addiction, depression,
self-esteem and introversion which can diminish these predicaments. In order to serve this
purpose, 461 undergraduate students have been selected arbitrarily from several institutions of
Bangladesh and were solicited to complete a standard questionnaire which was prepared based
on the self-reported measures concerning the disorders mentioned before. The correlational
survey design which was employed through social media contains Internet Addiction Test by
Dr. Kimberly Young, Rosenberg Self-Esteem Scale by M. Rosenberg, PROMIS Emotional
Distress-Depression short scale and Introversion scale by McCroskey. In pursuit of extracting
desired results from the survey as well as to check accuracy, numerous methods have been
utilized. Cronbach alpha provided the proof that the data retrieved from the survey is
consistent. Subsequently, Chi-square test and ANOVA procured that positive correlations
exists among internet addiction, depression, self-esteem and introversion. To corroborate
this newly established correlation, multifarious machine learning techniques have been
adopted and experimented. These experiments revealed that Internet addiction can predict
self-esteem, depression can predict self-esteem and depression can predict introversion. After
applying these methods, we came to the conclusion that there exists correlation among the
psychological syndromes mentioned above and that this correlation can be exploited and
manoeuvred to a positive outcome whose aim will be to reduce the severity of these disorders.Nadia RubaiyatAnika IslamLamiah IsratLamiya KabirB. Computer Science and Engineerin
Open source, low cost combine harvester
No full textThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.Catalogued from PDF version of thesis.Includes bibliographical references( pages 50-51).Bangladesh is widely known as an agricultural country. A large number of its population depends on it to earn their livelihoods be it directly or indirectly. A major portion of this country's earnings comes from this sector. Even though Bangladesh has one of the most fertile land in the world, it still lag behind in terms of the crops production [15]. A major reason behind this is the lack of modern technology. The lack of proper technique, substance and machine keep us from the optimal production value. Being a developing country, the use of modern machinery in this sector is very low. Farmers of our country still use traditional tools like a hoe, sickle, fork etc. This is a huge wastage of time and capital. The reason behind the absence of modern machinery in our farming sector is the shortage of capital. Being poor the farmers can hardly support their family let alone spend tens of lakhs behind high tech machinery. With is in mind, we are proposing to build a single piece of a machine which will not only cut the paddy but also extract and store the rice in real time on the field with zero wastage of the crops and time. The main goal here is to make the machine within a low budget so the common farmer can afford it.Md. Abdullah Bin SazimS.M. Zulkar NainAkibul HassanB. Electrical and Electronic Engineerin
Risk factor analysis of Robi Axiata Limited
No full textThis internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2018.Cataloged from PDF version of internship report.Includes bibliographical references (page 31).Convenient advancement is before long giving distinctive unobtrusive courses of action in people's regular
day to day existence. The regular thinking of interfacing people through mobile phone is far behind in
relationship with the current circumstance. Information advancement engages telecom associations to give
budgetary courses of action with an extraordinarily decrepit and viably open access to satisfy customers,
which was earlier costly and not accessible somewhat. This report is sorted out dependent on my threemonth
practical inclusion with Robi Axiata Restricted. This transitory position program helped me to get
some answers concerning the sensible circumstance of a Media transmission Company. Robi Axiata
Limited is a dynamic and driving countrywide GSM correspondence game plan provider. It is a joint
undertaking association between Axiata Group Berhad, Malaysia and NTT DOCOMO INC, Japan. Robi
Axiata Limited, in the past known as Telecom Malaysia International (Bangladesh), started its assignment
in 1997 under the brand name Aktel among the pioneer GSM flexible communicate specialized authority
centers in Bangladesh. A while later, on 28th March 2010 the association started its new voyage with the
brand name Robi.
As I have finished my report dependent on the hazard factor investigation of Robi Axiata Limited, I will
talk about the key components behind hazard in each important territory all through the report.Noushin SharminB. Business Administratio
Evaluation of consumer good product through analysis of quality function deployment and quality factors: A study of Horlicks Bangladesh.
No full textThis internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2018.Cataloged from PDF version of internship report.Includes bibliographical references (page 15).Inception of GlaxoSmithKline Bangladesh was in the year of 1949. The present day
GlaxoSmithKline is the result of mergers, acquisitions and strategic alliance forged over the
years. Therefore GlaxoSmithKline Bangladesh at present is an amalgamation of different
companies each with unique trading method and industry value. GlaxoSmithKline started
through their journey in Bangladesh as an importer of its own products in Chittagong. Currently
GlaxoSmithKline has stopped their pharmaceutical operations in Bangladesh thus only consumer
goods are in production. The consumer goods sector mainly focuses on the development,
manufacturing and commercialization of consumer health good related products. From annual
report of 2017 of GlaxoSmithKline Bangladesh Limited stated in the report that cost of sales
across the businesses has increased significantly to support high standards of raw and packaging
materials, as well as increased manufacturing expenses from past investments in up gradation of
facilities. Operating expenses were maintained below inflationary rates through rationalization of
discretionary expenses. Overall, profit after tax increased by 3.8% and stood at Taka 669 million.
Correspondingly, EPS (Earnings per Share) increased from Tk 53.51 to Tk 55.56 for the reported
year. Due to significance of Horlicks impact on GlaxoSmithKline Bangladesh Limitedthis report
chose Horlicks as the main subject for the evaluation. The report intents to evaluate and analyze
the total quality management of Horlicks and shed light on how Horlicks actual performance is
according in terms of quality management and quality factors.This report has been distributed
into 5 parts starting from introduction, literature review, methodology, findings/interpretation
and recommendation. This report was written in perspective of Bangladesh and other developing
countries. This report hopes to vanguard further research on quality management evaluation and
measurement forconsumer products for better decision making in quality management. As there
has been less report on quality management or quality related research about consumer good
products. But quality is essential for a product to succeed. Often there is huge discrepancy
between what management think and what consumers want in terms of quality. This report
attempts to explores those discrepancies as well trying carve out whether Horlicks quality is up
to mark or not. Finally this report endeavors with empirical observation to deduce any links
between Horlicks current quality factors and its success as a consumer health drink as a whole.
Finally few recommendations are provided on those empirical assumptionDebendra LamaB. Business Administratio
Studying vibrio spp. in industrially polluted surface waters : difficulties and uncertainities during characterization
No full textThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Biotechnology, 2018.Cataloged from PDF version of thesis.Includes bibliographical references (page 43-45).4
Abstract
.
Being the capital of Bangladesh Dhaka city faces multiple pollution problems due to rapid urbanization leading to unplanned industrialization. This often results in the contamination of water bodies with bacteria pathogenic to humans. This eventually increases the risk of humans getting infected during accidental ingestion or contact. The purpose of the study was to detect the presence of Vibrio spp. in water bodies contaminated with industrial pollutants. For this purpose Gulshan Lake and Buriganga River, the two prominent water bodies of our country were chosen for sampling. A total of 80 samples were collected aseptically. In total, 70 samples were from Gulshan Lake and 20 samples were from Buriganga River within duration of three months. Then, they were processed for isolation of culturable Vibrio spp. using culture-based method. Of these water samples, 67% were found positive for Vibrio spp. and the rest were found to be non-Vibrio.Biochemical tests were then performed to confirm DNA extraction in boiling method was performed before the Genus specific PCR targeting the rpoA gene for further confirmation. Then helomysis test was performed where 86% isolates gave beta hemolysis and 14% isolates gave gamma hemolysis. Anbibiotic susceptibility and resistant test was done against ten antibiotics where Nalidixic acid (30μg) showed highest(86%) resistance and Tetracycline (30μg) showed lowest (14%) resistance. This study reveals that both Gulshan Lake and Buriganga river are contaminated with Vibrio spp. and can be highly virulent that may lead to serious health hazard in near future.Sadia AlamB. Biotechnolog
Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
No full textThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.Cataloged from PDF version of thesis.Includes bibliographical references (page 37-39).Emotion recognition from facial expression is one of the most popular research sectors in Computer Science for last several years. As face recognition of different people is already established and become very common in almost everywhere, emotion recognition from these faces can be a new feature in the existing processes. On the other hand, image processing is the new emerging field in Computer Science. There are already several well renowned researches on facial expression recognition using image processing. In our research, we have recognized the emotions of children who have Autism Spectrum Disorder (ASD).Most autistic children show symptoms of withdrawal from social interactions and a lack of emotional empathy towards others. Individuals with autism exhibit difficulties in various aspects of facial perception, such as facial identity recognition or recognition of facial expressions. Our goal is to find a way that can understand their emotions accurately so that further improvement based on our research in this field can find a pattern of their expressions for different emotions and can make it easy for them as well as for the people surrounded by them to interact with each other. For our research, we have used seven Machine Learning algorithms along with Convolutional Neural Networks (CNN) through the datasets of different expression of ASD children and compared the accuracy to find out the algorithm/s that identifies their expression most perfectly. We also demonstrated two feature extraction techniques that are PCA and LBP to improve the accuracy of the algorithms. Our approach shows some mentionable output. The best result we get is after using SVM with PCA feature extraction that gives almost 68.2% of accuracy.Nishat TasnimAtiya KhwajaHumayra RashidB. Computer Science and Engineerin
A study on the recruitment and selection process of EDISON Group
No full textThis internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2018.Cataloged from PDF version of internship report.Includes bibliographical references (page 33-34).This research paper has been developed on the basis of my 3 months internship period at
EDISON Group where I have been assigned as an intern of Strategic Human Resources (SHR)
department. The main objective of the report is to identify general practices that EDISON
Group uses to recruit and select its employees and identify new measures to make the process
further advanced. Firstly, the report provides an overview of EDISON Group and its 12
concerns. In this section the reports also talks about the activities which I have been performing
as an intern of the company. The ‘Literature Review’ section discusses general practices
involved in the recruitment and selection process as per experts’ opinions. Later in the
‘Analysis and Interpretation of the Data’ section, the report provides an elaboration of the
recruitment and selected process of EDISON Group based on the practical experience gathered
throughout the internship period as well as information collected from employees and internal
documents. After which the entire process involved in the company is measured against the
practices mentioned in the literature review section. Here the company’s recruitment and
selection practices are also compared with the recruitment and selection practice used in a
similar business group, Walton Group. On the basis of the analysis provided in the former
section, the report then discusses the findings regarding the recruitment and selection process
practices used in EDISON Group,. Next, the report identifies possible ways in which the
EDISON Group can further advance its entire recruitment and selection process. The
‘References’ section provides the traces of all information collected from secondary sources.Farian Nusrat MumuB. Business Administratio