This document discusses a study that used the Analytic Hierarchy Process (AHP) to investigate the factors affecting the choice of coffee product categories sold in landscape coffee shops in Taiwan. Through literature review, expert interviews, and AHP analysis of survey data, the study found that the order of preference for coffee products among consumers was Italian coffee, Americano coffee, and hand-drip coffee. The results provide useful suggestions for landscape coffee shops regarding their selection of specialty coffee drinks.
Study On Decision-Making For Café Management Alternativesijcsit
In recent years, many new cafés have emerged onto the market. Other than view cafés, beautiful cafés that
seem as if they came from Paris or New York have gradually appeared in leisure and quiet residential
areas, in alleyways, in peripheral areas, and in local commercial areas. In particular, leisure is trendy at
present, and modern restaurants innovate in terms of their food, leisure, and consumption. Unlike
traditional restaurants, they are able to develop into cafés with unique styles to attract consumers. Even
though not all of these new cafés are successful, as cafés are an industry that is at the forefront of fashion,
many individuals who dream of entrepreneurship would want to open a café. However, as there are many
types of cafés on the market, what type and style of cafés are the most suitable? An overview of cafés in
Taiwan shows that each café offer unique services and functions to attract consumers, which is the key to
sustainable operations of cafés. Therefore, this study explores the decisions of companies when choosing
the style for their cafés. This study uses the analytical hierarchy process (AHP) to explore the selection of
café styles, in order to provide references for café operators to achieve successful and sustainable
operations. Based on literature review, expert interviews, and AHP, this study intends to provide useful
results to the operators of cafés
R ESEARCH ON D ECISION M AKING R EGARDING H IGH - BUSINESS - STRATEGY C ...ijcsit
n contemporary popular leisure trends, modern rest
aurants have been innovative regarding all aspects
of
the restaurant business, such as food, leisure, and
consumption, thus evolving into cafés with unique
characteristics and styles, which differ greatly fr
om traditional restaurants. In order to meet consum
ers’
preferences of delicious food and beautiful decor,
many new cafés have opened, and new café dishes are
introduced. The first impression of the menu conten
t alone can determine the success or failure of a c
afé.
Although not all newly opened cafés are successful,
opening a café is still an entrepreneur dream for
many
people. In Japan, it is commonly believed that café
is equal to gourmet food, which is also often the
key to
sustainable management of a café. However, how is t
he menu content decided? As the menu content cannot
satisfy all guests, cafés have their own operating
strategies to determine the structure of a menu. Th
is study
aims to explore the decision making of café operato
rs to create a high-business-strategy menu, and use
Analytic Hierarchy Process (AHP) to discuss the sel
ection of café menus to help the cafés achieving
sustainable development. The research methods inclu
ded literature review, expert interview, and AHP. T
he
findings can serve as references to café operators
1) The document discusses a study on the impact of coffee service quality on customer satisfaction and loyalty. It examines factors like interaction, physical environment, result quality, representativeness, and diversity.
2) It provides background on measuring service quality, discussing models like SERVQUAL and SERVPERF that measure factors like tangibility, reliability, and responsiveness.
3) Specifically, it examines Brady and Cronin's three-dimensional hierarchical model of interaction quality, physical environmental quality, and result quality to measure coffee service quality and its impact on positive emotions and loyalty.
This document provides a visual reference for projects in Dr. Rebecca Oyomopito's curriculum vitae. It summarizes her roles designing analyses for international organizations, managing multi-center studies, developing novel methodologies, facilitating quality improvement, and implementing longitudinal clinical studies. Tables and figures describe her experience with outcomes mapping and a multi-phase study start-up service package to build research capacity.
This document provides an overview of a case study on the effects of implementing a Balanced Scorecard (BSC) framework on organizational performance at Abay Bank S.C. in Ethiopia. The study aims to assess how the BSC has impacted performance across financial and non-financial perspectives like internal business processes, customer satisfaction, learning and growth. Data will be collected through questionnaires from bank employees and analyzed using statistical techniques to understand the relationships between BSC implementation and key performance indicators. The results are intended to help managers improve performance measurement and provide insights for academics and future research.
Study of the environmental impacts of a cup of coffee using too analysis tools: Strategic Life Cycle Assesment(SLCA) and Life Cycle Analysis (LCA) with SimaPro.
RECCOMENDATION OF FOOD BASED ON YOUR CURRENT MOODIRJET Journal
The document describes a proposed web application called MoodieFoodie that provides food recommendations tailored to a user's current mood. It aims to address limitations of existing food delivery apps by 1) providing personalized recommendations based on the user's emotional state using machine learning algorithms, 2) simplifying restaurant selection by considering cost, ratings, and distance, and 3) offering a diverse selection of food and beverage options while supporting small businesses. The proposed system is designed to enhance the user experience of food ordering and delivery by connecting emotions and food preferences.
The Study of Coffee Shop: A Case Study of Taiwanijtsrd
There are already many coffee houses in Taiwan, such as Taiwanese and independent coffee houses, and there is also a specialized coffee shop around the people of Taiwan. Taiwanese coffee houses occupy a significant share of the coffee market in Taiwan, which includes the main players Taiwanese, Costa, Starbucks, Caffe Nero and others. The coffee market in Taiwan is very competitive due to various methods, such as service, price of products, coffee quality, the atmosphere of coffee houses, etc., which will affect the buying behavior of customers. On the other hand, the external environment also has a small impact on the coffee market, however, regardless of a Taiwanese coffee shop or an independent coffee shop, there is still room for access to this market. Erdenebileg Myadagbadam | Serdamba Nemekhjargal "The Study of Coffee Shop: A Case Study of Taiwan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29743.pdf Paper URL: https://www.ijtsrd.com/management/management-development/29743/the-study-of-coffee-shop-a-case-study-of-taiwan/erdenebileg-myadagbadam
Study On Decision-Making For Café Management Alternativesijcsit
In recent years, many new cafés have emerged onto the market. Other than view cafés, beautiful cafés that
seem as if they came from Paris or New York have gradually appeared in leisure and quiet residential
areas, in alleyways, in peripheral areas, and in local commercial areas. In particular, leisure is trendy at
present, and modern restaurants innovate in terms of their food, leisure, and consumption. Unlike
traditional restaurants, they are able to develop into cafés with unique styles to attract consumers. Even
though not all of these new cafés are successful, as cafés are an industry that is at the forefront of fashion,
many individuals who dream of entrepreneurship would want to open a café. However, as there are many
types of cafés on the market, what type and style of cafés are the most suitable? An overview of cafés in
Taiwan shows that each café offer unique services and functions to attract consumers, which is the key to
sustainable operations of cafés. Therefore, this study explores the decisions of companies when choosing
the style for their cafés. This study uses the analytical hierarchy process (AHP) to explore the selection of
café styles, in order to provide references for café operators to achieve successful and sustainable
operations. Based on literature review, expert interviews, and AHP, this study intends to provide useful
results to the operators of cafés
R ESEARCH ON D ECISION M AKING R EGARDING H IGH - BUSINESS - STRATEGY C ...ijcsit
n contemporary popular leisure trends, modern rest
aurants have been innovative regarding all aspects
of
the restaurant business, such as food, leisure, and
consumption, thus evolving into cafés with unique
characteristics and styles, which differ greatly fr
om traditional restaurants. In order to meet consum
ers’
preferences of delicious food and beautiful decor,
many new cafés have opened, and new café dishes are
introduced. The first impression of the menu conten
t alone can determine the success or failure of a c
afé.
Although not all newly opened cafés are successful,
opening a café is still an entrepreneur dream for
many
people. In Japan, it is commonly believed that café
is equal to gourmet food, which is also often the
key to
sustainable management of a café. However, how is t
he menu content decided? As the menu content cannot
satisfy all guests, cafés have their own operating
strategies to determine the structure of a menu. Th
is study
aims to explore the decision making of café operato
rs to create a high-business-strategy menu, and use
Analytic Hierarchy Process (AHP) to discuss the sel
ection of café menus to help the cafés achieving
sustainable development. The research methods inclu
ded literature review, expert interview, and AHP. T
he
findings can serve as references to café operators
1) The document discusses a study on the impact of coffee service quality on customer satisfaction and loyalty. It examines factors like interaction, physical environment, result quality, representativeness, and diversity.
2) It provides background on measuring service quality, discussing models like SERVQUAL and SERVPERF that measure factors like tangibility, reliability, and responsiveness.
3) Specifically, it examines Brady and Cronin's three-dimensional hierarchical model of interaction quality, physical environmental quality, and result quality to measure coffee service quality and its impact on positive emotions and loyalty.
This document provides a visual reference for projects in Dr. Rebecca Oyomopito's curriculum vitae. It summarizes her roles designing analyses for international organizations, managing multi-center studies, developing novel methodologies, facilitating quality improvement, and implementing longitudinal clinical studies. Tables and figures describe her experience with outcomes mapping and a multi-phase study start-up service package to build research capacity.
This document provides an overview of a case study on the effects of implementing a Balanced Scorecard (BSC) framework on organizational performance at Abay Bank S.C. in Ethiopia. The study aims to assess how the BSC has impacted performance across financial and non-financial perspectives like internal business processes, customer satisfaction, learning and growth. Data will be collected through questionnaires from bank employees and analyzed using statistical techniques to understand the relationships between BSC implementation and key performance indicators. The results are intended to help managers improve performance measurement and provide insights for academics and future research.
Study of the environmental impacts of a cup of coffee using too analysis tools: Strategic Life Cycle Assesment(SLCA) and Life Cycle Analysis (LCA) with SimaPro.
RECCOMENDATION OF FOOD BASED ON YOUR CURRENT MOODIRJET Journal
The document describes a proposed web application called MoodieFoodie that provides food recommendations tailored to a user's current mood. It aims to address limitations of existing food delivery apps by 1) providing personalized recommendations based on the user's emotional state using machine learning algorithms, 2) simplifying restaurant selection by considering cost, ratings, and distance, and 3) offering a diverse selection of food and beverage options while supporting small businesses. The proposed system is designed to enhance the user experience of food ordering and delivery by connecting emotions and food preferences.
The Study of Coffee Shop: A Case Study of Taiwanijtsrd
There are already many coffee houses in Taiwan, such as Taiwanese and independent coffee houses, and there is also a specialized coffee shop around the people of Taiwan. Taiwanese coffee houses occupy a significant share of the coffee market in Taiwan, which includes the main players Taiwanese, Costa, Starbucks, Caffe Nero and others. The coffee market in Taiwan is very competitive due to various methods, such as service, price of products, coffee quality, the atmosphere of coffee houses, etc., which will affect the buying behavior of customers. On the other hand, the external environment also has a small impact on the coffee market, however, regardless of a Taiwanese coffee shop or an independent coffee shop, there is still room for access to this market. Erdenebileg Myadagbadam | Serdamba Nemekhjargal "The Study of Coffee Shop: A Case Study of Taiwan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29743.pdf Paper URL: https://www.ijtsrd.com/management/management-development/29743/the-study-of-coffee-shop-a-case-study-of-taiwan/erdenebileg-myadagbadam
This document provides a descriptive analysis of data collected from 331 respondents regarding their perceptions of coffee bars. Some key findings include:
1) The sample consisted of 51.7% male and 48.3% female respondents, with 80% between the ages of 21-32.
2) When it comes to beverages, there was an equal preference for hot and cold drinks. Coffee was the most preferred hot beverage.
3) Around 45% of respondents preferred to have coffee at coffee bars, while 33% preferred home.
4) The most common frequency of visiting a coffee bar was reported as 3 times per month, by 27.8% of respondents.
This document provides a summary of a meta-analysis presented by Preethi Rai on November 12, 2013. It defines meta-analysis as a quantitative approach that systematically combines the results of previous research studies in order to arrive at conclusions about the body of research. The summary explains that meta-analysis increases the overall sample size and statistical power to better understand treatment effects. It also addresses how meta-analysis can help resolve controversies, identify areas needing more research, and generalize study results. Limitations including publication bias and inability to improve original study quality are also noted.
Application of Fuzzy Analytic Hierarchy Process and TOPSIS Methods for Destin...ijtsrd
Destination selection is one of the most become an extremely popular. Sometimes the terms tourism and tourism are used pejoratively to indicate a shallow interest in the societies or islands that traveler's tour. This system presents the use of fuzzy AHP and TOPSIS for deciding on the selection of destination as like the selection of island. In this system, eight countries that include in South East Asia Thailand, Singapore, Malaysia, Indonesia, Philippine, Vietnam, Cambodia, Brunei are used. At first, the user can choose the specific country to decide the island of these countries and their preferences attraction, environment, accommodation, transportation, restaurant, activity, entertainment and other facilities are taken as inputs and then display the list of alternatives that matched with user's preferences. Fuzzy analytic hierarchy process is used in determining the weight of criteria and alternatives. Technique for Order Preference by Similarity to Ideal Solution TOPSIS method is used for determining the final ranking of the alternatives. Finally, this system shows the list of destinations depend on user's preferences. Hnin Min Oo | Su Hlaing Hnin "Application of Fuzzy Analytic Hierarchy Process and TOPSIS Methods for Destination Selection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27975.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-processing/27975/application-of-fuzzy-analytic-hierarchy-process-and-topsis-methods-for-destination-selection/hnin-min-oo
Powerpoint on Survey Development in libraries by LIS 2830 students Dana Alsup, Katie DeRusso, Michele Farina,
Sarah Loudenslager, Sara Tekavec (Spring 2011).
Faculty advisors play an important role in supporting adult learners. Some key aspects of their role include:
- Facilitator of learning: Advisors facilitate learning by guiding students to resources and helping them develop self-directed learning skills. The focus is on supporting students' own educational goals and processes.
- Guide and mentor: Advisors provide guidance to help students navigate their program requirements and stay on track to graduate. They also serve as mentors, offering advice and support to help students progress professionally and personally.
- Promoter of self-directed learning: Based on the andragogical model of adult learning, advisors encourage students to take responsibility for their own learning. They help students identify their needs and interests to
How to structure your table for systematic review and meta analysis – PubricaPubrica
According to the, a systematic review is "a scholarly method in which all empirical evidence that meets pre-specified eligibility requirements is gathered to address a particular research question."
Continue Reading: https://bit.ly/3AeFIYY
For our services: https://pubrica.com/services/research-services/systematic-review/
Why Pubrica:
When you order our services, We promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Biostatistical experts | High-quality Subject Matter Experts.
Contact us:
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44-1618186353
Qualitative Analysis of Electronic Class Record.pdfChristopher Lee
The Electronic Class Record (E-Class Record) from Department of Education
(DepEd) is an Information Software used by Faculty Members in different schools
depending on their level status of the Students at present. This Information System tool
is designed to facilitate proper evaluations, assessment reports and effectively getting
the total progress and performance grading results exclusively for the Senior High
School Students in Diliman College - Quezon City.
The E-Class Record which is formatted by using a Microsoft Excel spreadsheet
file document gives the teachers an important grading information and evaluations on
which class recording of grades are now more reliable and efficient.
The construction of the Qualitative research study is for me to gather the
descriptive analysis statements made from the respondents’ point of view, and how they
have been assessed and satisfied by their own experiences in using the Electronic Class
Record (E-Class Record) effectively and efficiently.
The document provides instructions for completing an assessment of a community's health care needs. Students are asked to:
1) Conduct a virtual windshield survey and environmental analysis of a community served by the Vila Health system to understand health conditions and social determinants of health.
2) Summarize the results of the assessment in a 2-3 page executive summary addressing the community's needs, environmental health factors, and social determinants of health.
3) Support conclusions with 3-5 credible sources and write the summary clearly and concisely using APA style. The work will demonstrate competencies in identifying health care challenges and communicating assessment findings to leaders.
Ankita Srivastava has 6 years of experience in brand management, market research, and analytics. She holds an MBA in HR and degrees in nutrition. Her experience includes projects analyzing health data from Africa and diabetes needs in India for GSK and Novo Nordisk. As an account manager, she developed marketing strategies and materials for pharmaceutical companies. She is skilled in statistical analysis tools like R and Excel and visualizing data.
13103855 Research On Consumer Preference For Soft DrinksRasel Khondaker
This research proposal aims to analyze factors influencing consumer decisions to purchase fruit drinks in Pune, India. The objectives are to determine key factors like attributes, brands, and preferred shopping channels. Data will be collected through surveys in colleges and online. Statistical analysis techniques like factor analysis, cross-tabulation, and correlation will be used to identify relationships between variables. The findings could help fruit drink companies understand consumer preferences to improve marketing strategies.
13103855 Research On Consumer Preference For Soft DrinksRasel Khondaker
This research proposal aims to analyze factors influencing consumer decisions to purchase fruit drinks in Pune, India among 19-30 year olds. The objectives are to determine key factors like product attributes, brands, and preferred purchasing channels. Secondary research found the beverage market in India is growing, with fruit drinks outpacing carbonated drinks. Primary research will collect data through surveys to identify the 5 most influential factors on purchases. Statistical analysis techniques like factor analysis and correlations will be used to analyze the data and provide valuable insights for beverage companies.
Multi Criteria Decision Making Methodology on Selection of a Student for All ...ijtsrd
Selecting a student for all round excellent award is based on a complex, elaborate combination of abilities and skills. A multi criteria Decision Making method, AHP is used to help in making decision consistently by doing a pairwise comparison matrix process between criteria based on selected alternatives and determining the priority order of criteria and alternatives used. The results of these calculations are used to determine the outstanding student receiving a scholarship based on the final results of the AHP method calculation. The results demonstrated that the student ranking is more likely influenced by the relative importance of management, leadership and motivation by sub criteria, education, cooperation, innovation, disciplinary, attendance, knowledge, sports activity, social activity and awards. Kyi Kyi Mynit "Multi Criteria Decision Making Methodology on Selection of a Student for All Round Excellent Award" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26428.pdfPaper URL: https://www.ijtsrd.com/management/research-method/26428/multi-criteria-decision-making-methodology-on-selection-of-a-student-for-all-round-excellent-award/kyi-kyi-mynit
This document provides guidance on monitoring and evaluation (M&E) for organizations. It discusses the importance of M&E and key concepts like indicators, results chains, and identifying evidence of change. The document emphasizes that M&E requires organizational and technical readiness, including clear frameworks, evidence-based planning, relevant skills, and experience. It also provides examples of performance measures and developing them for different sectors. Worksheets are included to help participants apply these M&E concepts.
Library Evaluation in 3 Parts - Presented by Dr. Bill Irwin, Computers in Lib...Hamilton Public Library
This document summarizes current research in library evaluation presented at the Ontario Library Association Super Conference on January 29. It discusses three areas of research: 1) A 2014 study on introducing new evaluation practices in public libraries and how organizational culture impacts evaluation; 2) Early findings from a 2014 survey of Ontario municipal councillors on their expectations of public library evaluation; 3) Plans to develop an "L-Value Index" to measure the economic, social, cultural, and educational impacts of Canadian public libraries. The presentation explores challenges of moving from an output-based evaluation model to one focused on capturing outcomes and impacts.
Marketing research process, Process of Marketing Research & Marketing Researc...Ashutosh Dubey
for detail explanaition you can check my youtube channel www.youtube.com/c/SuccessG in this presentation i have tried to explain all the important Steps in Marketing Research Process, and their Description in easy language.
#SuccessG
The document discusses statistical packages and their applications. It defines statistics and statistical packages. It describes several commonly used statistical packages, including Excel, SPSS, SAS, Minitab, and others. It outlines their key features and how they are used in nursing and healthcare, such as for data analysis, clinical decision support, and quality improvement. The conclusion states that statistical packages are important for nursing as they help interpret clinical trials, communicate findings to patients, and manage data.
Restaurant recommendation system is a very popular service whose so-
phistication keeps increasing everyday.In this paper we present a per-
sonalised restaurant recommendation system which has two parts to
it. The rst part recommends users' restaurants based on their restau-
rant review history. The second part recommends business owners with
places perfect to open a restaurant with a particular cuisine where the
owner would get the best trac for the restaurant. Using Zomato data,
we built a restaurant recommendation system for the individuals and
business owners. For each user in our data we nd out the cuisine
preferences and other restrictions such as services oered, ambience,
average rating, etc. and based on that we recommend the restaurants
accordingly. We propose a metric that takes the popularity as well as
the sentiment of opinions for the food items based on the user gener-
ated reviews as opposed to other systems where which only consider
the features mentioned above to recommend restaurants.
The real challenge in the modern world is not producing information or storing information,
but apt and proper use of information by people. Since volume of information is growing in leaps
and bounds, the information needs of users are becoming more and more diverse and complex. In
this changing context information providers are facing a lot of challenges to capture, process, store
and disseminate the available information for actual users. The user studies provide a clear
understanding of the actual information needs of the user in order to readjust the existing
information systems or chose new ones. Various models of information needs and informationseeking behaviour have been discussed. Each modelrepresents a different but an overlapping or
similar approach to information seeking behavior of users. In order to satisfy the information need,the user actively undergoes the information seeking processes. Some factors like physiological,emotional, learning and demographic, etc. also deeply influence information seeking behaviour i.e.
some people have to face some obstacles. These barriers may be economic, social, environmental,
time related or geographical.Effectiveness of a professional depends upon dissemination and use of right information at
right time. Information and communication technologies have changed the way in which thelibraries provide their services. Users study provide deeperunderstanding of access to their
collections and services .The need and behavior of their users and satisfaction ratio of users are
new assessment techniques of libraries. Therefore an effort has been made to how determineinformation need and information seeking behavior of users.
Home security is of paramount importance in today's world, where we rely more on technology, home
security is crucial. Using technology to make homes safer and easier to control from anywhere is
important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost,
AI based model home security system. The system has a user-friendly interface, allowing users to start
model training and face detection with simple keyboard commands. Our goal is to introduce an innovative
home security system using facial recognition technology. Unlike traditional systems, this system trains
and saves images of friends and family members. The system scans this folder to recognize familiar faces
and provides real-time monitoring. If an unfamiliar face is detected, it promptly sends an email alert,
ensuring a proactive response to potential security threats.
In the era of data-driven warfare, the integration of big data and machine learning (ML) techniques has
become paramount for enhancing defence capabilities. This research report delves into the applications of
big data and ML in the defence sector, exploring their potential to revolutionize intelligence gathering,
strategic decision-making, and operational efficiency. By leveraging vast amounts of data and advanced
algorithms, these technologies offer unprecedented opportunities for threat detection, predictive analysis,
and optimized resource allocation. However, their adoption also raises critical concerns regarding data
privacy, ethical implications, and the potential for misuse. This report aims to provide a comprehensive
understanding of the current state of big data and ML in defence, while examining the challenges and
ethical considerations that must be addressed to ensure responsible and effective implementation.
More Related Content
Similar to A Study on Cofee Product Categories Sold in Landscape Coffee Shops
This document provides a descriptive analysis of data collected from 331 respondents regarding their perceptions of coffee bars. Some key findings include:
1) The sample consisted of 51.7% male and 48.3% female respondents, with 80% between the ages of 21-32.
2) When it comes to beverages, there was an equal preference for hot and cold drinks. Coffee was the most preferred hot beverage.
3) Around 45% of respondents preferred to have coffee at coffee bars, while 33% preferred home.
4) The most common frequency of visiting a coffee bar was reported as 3 times per month, by 27.8% of respondents.
This document provides a summary of a meta-analysis presented by Preethi Rai on November 12, 2013. It defines meta-analysis as a quantitative approach that systematically combines the results of previous research studies in order to arrive at conclusions about the body of research. The summary explains that meta-analysis increases the overall sample size and statistical power to better understand treatment effects. It also addresses how meta-analysis can help resolve controversies, identify areas needing more research, and generalize study results. Limitations including publication bias and inability to improve original study quality are also noted.
Application of Fuzzy Analytic Hierarchy Process and TOPSIS Methods for Destin...ijtsrd
Destination selection is one of the most become an extremely popular. Sometimes the terms tourism and tourism are used pejoratively to indicate a shallow interest in the societies or islands that traveler's tour. This system presents the use of fuzzy AHP and TOPSIS for deciding on the selection of destination as like the selection of island. In this system, eight countries that include in South East Asia Thailand, Singapore, Malaysia, Indonesia, Philippine, Vietnam, Cambodia, Brunei are used. At first, the user can choose the specific country to decide the island of these countries and their preferences attraction, environment, accommodation, transportation, restaurant, activity, entertainment and other facilities are taken as inputs and then display the list of alternatives that matched with user's preferences. Fuzzy analytic hierarchy process is used in determining the weight of criteria and alternatives. Technique for Order Preference by Similarity to Ideal Solution TOPSIS method is used for determining the final ranking of the alternatives. Finally, this system shows the list of destinations depend on user's preferences. Hnin Min Oo | Su Hlaing Hnin "Application of Fuzzy Analytic Hierarchy Process and TOPSIS Methods for Destination Selection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27975.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-processing/27975/application-of-fuzzy-analytic-hierarchy-process-and-topsis-methods-for-destination-selection/hnin-min-oo
Powerpoint on Survey Development in libraries by LIS 2830 students Dana Alsup, Katie DeRusso, Michele Farina,
Sarah Loudenslager, Sara Tekavec (Spring 2011).
Faculty advisors play an important role in supporting adult learners. Some key aspects of their role include:
- Facilitator of learning: Advisors facilitate learning by guiding students to resources and helping them develop self-directed learning skills. The focus is on supporting students' own educational goals and processes.
- Guide and mentor: Advisors provide guidance to help students navigate their program requirements and stay on track to graduate. They also serve as mentors, offering advice and support to help students progress professionally and personally.
- Promoter of self-directed learning: Based on the andragogical model of adult learning, advisors encourage students to take responsibility for their own learning. They help students identify their needs and interests to
How to structure your table for systematic review and meta analysis – PubricaPubrica
According to the, a systematic review is "a scholarly method in which all empirical evidence that meets pre-specified eligibility requirements is gathered to address a particular research question."
Continue Reading: https://bit.ly/3AeFIYY
For our services: https://pubrica.com/services/research-services/systematic-review/
Why Pubrica:
When you order our services, We promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Biostatistical experts | High-quality Subject Matter Experts.
Contact us:
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44-1618186353
Qualitative Analysis of Electronic Class Record.pdfChristopher Lee
The Electronic Class Record (E-Class Record) from Department of Education
(DepEd) is an Information Software used by Faculty Members in different schools
depending on their level status of the Students at present. This Information System tool
is designed to facilitate proper evaluations, assessment reports and effectively getting
the total progress and performance grading results exclusively for the Senior High
School Students in Diliman College - Quezon City.
The E-Class Record which is formatted by using a Microsoft Excel spreadsheet
file document gives the teachers an important grading information and evaluations on
which class recording of grades are now more reliable and efficient.
The construction of the Qualitative research study is for me to gather the
descriptive analysis statements made from the respondents’ point of view, and how they
have been assessed and satisfied by their own experiences in using the Electronic Class
Record (E-Class Record) effectively and efficiently.
The document provides instructions for completing an assessment of a community's health care needs. Students are asked to:
1) Conduct a virtual windshield survey and environmental analysis of a community served by the Vila Health system to understand health conditions and social determinants of health.
2) Summarize the results of the assessment in a 2-3 page executive summary addressing the community's needs, environmental health factors, and social determinants of health.
3) Support conclusions with 3-5 credible sources and write the summary clearly and concisely using APA style. The work will demonstrate competencies in identifying health care challenges and communicating assessment findings to leaders.
Ankita Srivastava has 6 years of experience in brand management, market research, and analytics. She holds an MBA in HR and degrees in nutrition. Her experience includes projects analyzing health data from Africa and diabetes needs in India for GSK and Novo Nordisk. As an account manager, she developed marketing strategies and materials for pharmaceutical companies. She is skilled in statistical analysis tools like R and Excel and visualizing data.
13103855 Research On Consumer Preference For Soft DrinksRasel Khondaker
This research proposal aims to analyze factors influencing consumer decisions to purchase fruit drinks in Pune, India. The objectives are to determine key factors like attributes, brands, and preferred shopping channels. Data will be collected through surveys in colleges and online. Statistical analysis techniques like factor analysis, cross-tabulation, and correlation will be used to identify relationships between variables. The findings could help fruit drink companies understand consumer preferences to improve marketing strategies.
13103855 Research On Consumer Preference For Soft DrinksRasel Khondaker
This research proposal aims to analyze factors influencing consumer decisions to purchase fruit drinks in Pune, India among 19-30 year olds. The objectives are to determine key factors like product attributes, brands, and preferred purchasing channels. Secondary research found the beverage market in India is growing, with fruit drinks outpacing carbonated drinks. Primary research will collect data through surveys to identify the 5 most influential factors on purchases. Statistical analysis techniques like factor analysis and correlations will be used to analyze the data and provide valuable insights for beverage companies.
Multi Criteria Decision Making Methodology on Selection of a Student for All ...ijtsrd
Selecting a student for all round excellent award is based on a complex, elaborate combination of abilities and skills. A multi criteria Decision Making method, AHP is used to help in making decision consistently by doing a pairwise comparison matrix process between criteria based on selected alternatives and determining the priority order of criteria and alternatives used. The results of these calculations are used to determine the outstanding student receiving a scholarship based on the final results of the AHP method calculation. The results demonstrated that the student ranking is more likely influenced by the relative importance of management, leadership and motivation by sub criteria, education, cooperation, innovation, disciplinary, attendance, knowledge, sports activity, social activity and awards. Kyi Kyi Mynit "Multi Criteria Decision Making Methodology on Selection of a Student for All Round Excellent Award" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26428.pdfPaper URL: https://www.ijtsrd.com/management/research-method/26428/multi-criteria-decision-making-methodology-on-selection-of-a-student-for-all-round-excellent-award/kyi-kyi-mynit
This document provides guidance on monitoring and evaluation (M&E) for organizations. It discusses the importance of M&E and key concepts like indicators, results chains, and identifying evidence of change. The document emphasizes that M&E requires organizational and technical readiness, including clear frameworks, evidence-based planning, relevant skills, and experience. It also provides examples of performance measures and developing them for different sectors. Worksheets are included to help participants apply these M&E concepts.
Library Evaluation in 3 Parts - Presented by Dr. Bill Irwin, Computers in Lib...Hamilton Public Library
This document summarizes current research in library evaluation presented at the Ontario Library Association Super Conference on January 29. It discusses three areas of research: 1) A 2014 study on introducing new evaluation practices in public libraries and how organizational culture impacts evaluation; 2) Early findings from a 2014 survey of Ontario municipal councillors on their expectations of public library evaluation; 3) Plans to develop an "L-Value Index" to measure the economic, social, cultural, and educational impacts of Canadian public libraries. The presentation explores challenges of moving from an output-based evaluation model to one focused on capturing outcomes and impacts.
Marketing research process, Process of Marketing Research & Marketing Researc...Ashutosh Dubey
for detail explanaition you can check my youtube channel www.youtube.com/c/SuccessG in this presentation i have tried to explain all the important Steps in Marketing Research Process, and their Description in easy language.
#SuccessG
The document discusses statistical packages and their applications. It defines statistics and statistical packages. It describes several commonly used statistical packages, including Excel, SPSS, SAS, Minitab, and others. It outlines their key features and how they are used in nursing and healthcare, such as for data analysis, clinical decision support, and quality improvement. The conclusion states that statistical packages are important for nursing as they help interpret clinical trials, communicate findings to patients, and manage data.
Restaurant recommendation system is a very popular service whose so-
phistication keeps increasing everyday.In this paper we present a per-
sonalised restaurant recommendation system which has two parts to
it. The rst part recommends users' restaurants based on their restau-
rant review history. The second part recommends business owners with
places perfect to open a restaurant with a particular cuisine where the
owner would get the best trac for the restaurant. Using Zomato data,
we built a restaurant recommendation system for the individuals and
business owners. For each user in our data we nd out the cuisine
preferences and other restrictions such as services oered, ambience,
average rating, etc. and based on that we recommend the restaurants
accordingly. We propose a metric that takes the popularity as well as
the sentiment of opinions for the food items based on the user gener-
ated reviews as opposed to other systems where which only consider
the features mentioned above to recommend restaurants.
The real challenge in the modern world is not producing information or storing information,
but apt and proper use of information by people. Since volume of information is growing in leaps
and bounds, the information needs of users are becoming more and more diverse and complex. In
this changing context information providers are facing a lot of challenges to capture, process, store
and disseminate the available information for actual users. The user studies provide a clear
understanding of the actual information needs of the user in order to readjust the existing
information systems or chose new ones. Various models of information needs and informationseeking behaviour have been discussed. Each modelrepresents a different but an overlapping or
similar approach to information seeking behavior of users. In order to satisfy the information need,the user actively undergoes the information seeking processes. Some factors like physiological,emotional, learning and demographic, etc. also deeply influence information seeking behaviour i.e.
some people have to face some obstacles. These barriers may be economic, social, environmental,
time related or geographical.Effectiveness of a professional depends upon dissemination and use of right information at
right time. Information and communication technologies have changed the way in which thelibraries provide their services. Users study provide deeperunderstanding of access to their
collections and services .The need and behavior of their users and satisfaction ratio of users are
new assessment techniques of libraries. Therefore an effort has been made to how determineinformation need and information seeking behavior of users.
Home security is of paramount importance in today's world, where we rely more on technology, home
security is crucial. Using technology to make homes safer and easier to control from anywhere is
important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost,
AI based model home security system. The system has a user-friendly interface, allowing users to start
model training and face detection with simple keyboard commands. Our goal is to introduce an innovative
home security system using facial recognition technology. Unlike traditional systems, this system trains
and saves images of friends and family members. The system scans this folder to recognize familiar faces
and provides real-time monitoring. If an unfamiliar face is detected, it promptly sends an email alert,
ensuring a proactive response to potential security threats.
In the era of data-driven warfare, the integration of big data and machine learning (ML) techniques has
become paramount for enhancing defence capabilities. This research report delves into the applications of
big data and ML in the defence sector, exploring their potential to revolutionize intelligence gathering,
strategic decision-making, and operational efficiency. By leveraging vast amounts of data and advanced
algorithms, these technologies offer unprecedented opportunities for threat detection, predictive analysis,
and optimized resource allocation. However, their adoption also raises critical concerns regarding data
privacy, ethical implications, and the potential for misuse. This report aims to provide a comprehensive
understanding of the current state of big data and ML in defence, while examining the challenges and
ethical considerations that must be addressed to ensure responsible and effective implementation.
Cloud Computing, being one of the most recent innovative developments of the IT world, has been
instrumental not just to the success of SMEs but, through their productivity and innovative contribution to
the economy, has even made a remarkable contribution to the economic growth of the United States. To
this end, the study focuses on how cloud computing technology has impacted economic growth through
SMEs in the United States. Relevant literature connected to the variables of interest in this study was
reviewed, and secondary data was generated and utilized in the analysis section of this paper. The findings
of this paper revealed that there have been meaningful contributions that the usage of virtualization has
made in the commercial dealings of small firms in the United States, and this has also been reflected in the
economic growth of the country. This paper further revealed that as important as cloud-based software is,
some SMEs are still skeptical about how it can help improve their business and increase their bottom line
and hence have failed to adopt it. Apart from the SMEs, some notable large firms in different industries,
including information and educational services, have adopted cloud computing technology and hence
contributed to the economic growth of the United States. Lastly, findings from our inferential statistics
revealed that no discernible change has occurred in innovation between small and big businesses in the
adoption of cloud computing. Both categories of businesses adopt cloud computing in the same way, and
their contribution to the American economy has no significant difference in the usage of virtualization.
Energy-constrained Wireless Sensor Networks (WSNs) have garnered significant research interest in
recent years. Multiple-Input Multiple-Output (MIMO), or Cooperative MIMO, represents a specialized
application of MIMO technology within WSNs. This approach operates effectively, especially in
challenging and resource-constrained environments. By facilitating collaboration among sensor nodes,
Cooperative MIMO enhances reliability, coverage, and energy efficiency in WSN deployments.
Consequently, MIMO finds application in diverse WSN scenarios, spanning environmental monitoring,
industrial automation, and healthcare applications.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication. IJCSIT publishes original research papers and review papers, as well as auxiliary material such as: research papers, case studies, technical reports etc.
With growing, Car parking increases with the number of car users. With the increased use of smartphones
and their applications, users prefer mobile phone-based solutions. This paper proposes the Smart Parking
Management System (SPMS) that depends on Arduino parts, Android applications, and based on IoT. This
gave the client the ability to check available parking spaces and reserve a parking spot. IR sensors are
utilized to know if a car park space is allowed. Its area data are transmitted using the WI-FI module to the
server and are recovered by the mobile application which offers many options attractively and with no cost
to users and lets the user check reservation details. With IoT technology, the smart parking system can be
connected wirelessly to easily track available locations.
Welcome to AIRCC's International Journal of Computer Science and Information Technology (IJCSIT), your gateway to the latest advancements in the dynamic fields of Computer Science and Information Systems.
Computer-Assisted Language Learning (CALL) are computer-based tutoring systems that deal with
linguistic skills. Adding intelligence in such systems is mainly based on using Natural Language
Processing (NLP) tools to diagnose student errors, especially in language grammar. However, most such
systems do not consider the modeling of student competence in linguistic skills, especially for the Arabic
language. In this paper, we will deal with basic grammar concepts of the Arabic language taught for the
fourth grade of the elementary school in Egypt. This is through Arabic Grammar Trainer (AGTrainer)
which is an Intelligent CALL. The implemented system (AGTrainer) trains the students through different
questions that deal with the different concepts and have different difficulty levels. Constraint-based student
modeling (CBSM) technique is used as a short-term student model. CBSM is used to define in small grain
level the different grammar skills through the defined skill structures. The main contribution of this paper
is the hierarchal representation of the system's basic grammar skills as domain knowledge. That
representation is used as a mechanism for efficiently checking constraints to model the student knowledge
and diagnose the student errors and identify their cause. In addition, satisfying constraints and the number
of trails the student takes for answering each question and fuzzy logic decision system are used to
determine the student learning level for each lesson as a long-term model. The results of the evaluation
showed the system's effectiveness in learning in addition to the satisfaction of students and teachers with its
features and abilities.
In the realm of computer security, the importance of efficient and reliable user authentication methods has
become increasingly critical. This paper examines the potential of mouse movement dynamics as a
consistent metric for continuous authentication. By analysing user mouse movement patterns in two
contrasting gaming scenarios, "Team Fortress" and "Poly Bridge," we investigate the distinctive
behavioral patterns inherent in high-intensity and low-intensity UI interactions. The study extends beyond
conventional methodologies by employing a range of machine learning models. These models are carefully
selected to assess their effectiveness in capturing and interpreting the subtleties of user behavior as
reflected in their mouse movements. This multifaceted approach allows for a more nuanced and
comprehensive understanding of user interaction patterns. Our findings reveal that mouse movement
dynamics can serve as a reliable indicator for continuous user authentication. The diverse machine
learning models employed in this study demonstrate competent performance in user verification, marking
an improvement over previous methods used in this field. This research contributes to the ongoing efforts to
enhance computer security and highlights the potential of leveraging user behavior, specifically mouse
dynamics, in developing robust authentication systems.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
Image segmentation and classification tasks in computer vision have proven to be highly effective using neural networks, specifically Convolutional Neural Networks (CNNs). These tasks have numerous
practical applications, such as in medical imaging, autonomous driving, and surveillance. CNNs are capable
of learning complex features directly from images and achieving outstanding performance across several
datasets. In this work, we have utilized three different datasets to investigate the efficacy of various preprocessing and classification techniques in accurssedately segmenting and classifying different structures
within the MRI and natural images. We have utilized both sample gradient and Canny Edge Detection
methods for pre-processing, and K-means clustering have been applied to segment the images. Image
augmentation improves the size and diversity of datasets for training the models for image classification
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
This research aims to further understanding in the field of continuous authentication using behavioural
biometrics. We are contributing a novel dataset that encompasses the gesture data of 15 users playing
Minecraft with a Samsung Tablet, each for a duration of 15 minutes. Utilizing this dataset, we employed
machine learning (ML) binary classifiers, being Random Forest (RF), K-Nearest Neighbors (KNN), and
Support Vector Classifier (SVC), to determine the authenticity of specific user actions. Our most robust
model was SVC, which achieved an average accuracy of approximately 90%, demonstrating that touch
dynamics can effectively distinguish users. However, further studies are needed to make it viable option
for authentication systems. You can access our dataset at the following
link:https://github.com/AuthenTech2023/authentech-repo
This paper discusses the capabilities and limitations of GPT-3 (0), a state-of-the-art language model, in the
context of text understanding. We begin by describing the architecture and training process of GPT-3, and
provide an overview of its impressive performance across a wide range of natural language processing
tasks, such as language translation, question-answering, and text completion. Throughout this research
project, a summarizing tool was also created to help us retrieve content from any types of document,
specifically IELTS (0) Reading Test data in this project. We also aimed to improve the accuracy of the
summarizing, as well as question-answering capabilities of GPT-3 (0) via long text
In the realm of computer security, the importance of efficient and reliable user authentication methods has
become increasingly critical. This paper examines the potential of mouse movement dynamics as a
consistent metric for continuous authentication. By analysing user mouse movement patterns in two
contrasting gaming scenarios, "Team Fortress" and "Poly Bridge," we investigate the distinctive
behavioral patterns inherent in high-intensity and low-intensity UI interactions. The study extends beyond
conventional methodologies by employing a range of machine learning models. These models are carefully
selected to assess their effectiveness in capturing and interpreting the subtleties of user behavior as
reflected in their mouse movements. This multifaceted approach allows for a more nuanced and
comprehensive understanding of user interaction patterns. Our findings reveal that mouse movement
dynamics can serve as a reliable indicator for continuous user authentication. The diverse machine
learning models employed in this study demonstrate competent performance in user verification, marking
an improvement over previous methods used in this field. This research contributes to the ongoing efforts to
enhance computer security and highlights the potential of leveraging user behavior, specifically mouse
dynamics, in developing robust authentication systems.
Image segmentation and classification tasks in computer vision have proven to be highly effective using neural networks, specifically Convolutional Neural Networks (CNNs). These tasks have numerous
practical applications, such as in medical imaging, autonomous driving, and surveillance. CNNs are capable
of learning complex features directly from images and achieving outstanding performance across several
datasets. In this work, we have utilized three different datasets to investigate the efficacy of various preprocessing and classification techniques in accurssedately segmenting and classifying different structures
within the MRI and natural images. We have utilized both sample gradient and Canny Edge Detection
methods for pre-processing, and K-means clustering have been applied to segment the images. Image
augmentation improves the size and diversity of datasets for training the models for image classification.
This work highlights transfer learning’s effectiveness in image classification using CNNs and VGG 16 that
provides insights into the selection of pre-trained models and hyper parameters for optimal performance.
We have proposed a comprehensive approach for image segmentation and classification, incorporating preprocessing techniques, the K-means algorithm for segmentation, and employing deep learning models such
as CNN and VGG 16 for classification.
- The document presents 6 different models for defining foot size in Tunisia: 2 statistical models, 2 neural network models using unsupervised learning, and 2 models combining neural networks and fuzzy logic.
- The statistical models (SM and SHM) are based on applying statistical equations to morphological foot data.
- The neural network models (MSK and MHSK) use self-organizing Kohonen maps to cluster foot data and model full and half sizes.
- The fuzzy neural network models (MSFK and MHSFK) incorporate fuzzy logic into the neural network learning process to better account for uncertainty in foot sizes.
The security of Electric Vehicle (EV) charging has gained momentum after the increase in the EV adoption
in the past few years. Mobile applications have been integrated into EV charging systems that mainly use a
cloud-based platform to host their services and data. Like many complex systems, cloud systems are
susceptible to cyberattacks if proper measures are not taken by the organization to secure them. In this
paper, we explore the security of key components in the EV charging infrastructure, including the mobile
application and its cloud service. We conducted an experiment that initiated a Man in the Middle attack
between an EV app and its cloud services. Our results showed that it is possible to launch attacks against
the connected infrastructure by taking advantage of vulnerabilities that may have substantial economic and
operational ramifications on the EV charging ecosystem. We conclude by providing mitigation suggestions
and future research directions.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
Mechatronics is a multidisciplinary field that refers to the skill sets needed in the contemporary, advanced automated manufacturing industry. At the intersection of mechanics, electronics, and computing, mechatronics specialists create simpler, smarter systems. Mechatronics is an essential foundation for the expected growth in automation and manufacturing.
Mechatronics deals with robotics, control systems, and electro-mechanical systems.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
A Study on Cofee Product Categories Sold in Landscape Coffee Shops
1. International Journal of Computer Science & Information Technology (IJCSIT) Vol 9, No 3, June 2017
DOI:10.5121/ijcsit.2017.9306 71
A STUDY ON COFFEE PRODUCT CATEGORIES SOLD
IN LANDSCAPE COFFEE SHOPS
Han-Chen Huang and Cheng-IHou
Department of Tourism and M.I.C.E., Chung Hua University, Taiwan
ABSTRACT
Regarding delicacies, people are no longer satisfied with mere good taste, they also consider the overall
feeling conveyed by the restaurants, including the decorations, the created atmosphere, and services, which
all affect consumers’ decisions whether dine. Nowadays, casual style is particularly the leading trend.
Modern restaurants have innovative ideas in food, leisure, and consumption, which are different from
traditional restaurants that only meet customers’ needs for daily meals. Therefore, many featured
restaurants are opened with unique styles to attract consumers. This study investigatedthe decision-making
processes for coffee product categories sold in the landscape coffee shops. The landscape coffee shops in
Taiwan all have unique featured services and functions to attract consumers. The quality of coffee products
sold in the landscape coffee shops is one of the factors that consumers consider, and is the key to
sustainable operation of coffee shops. As the preference of consumers varies, this study used analytic
hierarchy process (AHP) to investigate the coffee tastes of most consumers, allowing landscape coffee
shops to focus on the popular coffee product in order to achieve sustainable operation. Based on the results
of literature review, expert interviews, and AHP, this study provides useful suggestions to landscape coffee
shops.
KEYWORDS
Landscape Coffee Shops, Analytic Hierarchy Process, Coffee Beans
1. RESEARCH MOTIVES AND PURPOSES
Besides offering the food and beverage (F&B) services, landscape coffee shops also provide
customers with natural or artificial beautiful sceneries. Each landscape coffee shop has its own
unique style or atmosphere. In addition to natural scenery, the coffee shops are decorated
according to the surrounding landscape in order to attract consumers who may enjoy coffee or
beautiful scenery. The consumers are able to indulge in coffee, as well as delightful views, thus
gaining a high-quality leisure experience. Since the government’s implementation of the five-day
work week to stimulate the tourism market in Taiwan, going outdoors and experiencing nature
have become the leading tourism activity in Taiwan. The coffee shops with unique natural
landscape, green mountains and rivers, mountain streams, various flowers and plants, integrated
with the arts and humanities, have become popular destinations for the general public to spend
their weekends.Coffee shops in mountainous areas with streams,that are not severely
overdeveloped or damaged, have become popular destinations for the general public to spend
their leisure time. Therefore, the industry of landscape coffee shop has rapidly developed.
However, with the increasing competitive market of landscape coffee shops, in addition to
emphasizing the unique landscape of coffee shops to sustainably develop and maintain
advantages, operators should create coffee products with heterogeneity. Common coffee drinks
on the market are generally divided into Italian, Americano, and hand dripped coffee. This study
intends to investigate which productsare the favorites of most consumers.
2. International Journal of Computer Science & Information Technology (IJCSIT) Vol 9, No 3, June 2017
72
Globally, approximately 66 countries plant coffee beans. Coffee beans can be divided into 4
categories: Arabica, Robusta, Liberica, and Dewevrei/Excelsa. The most widely planted coffee
beans around the world are Arabica and Robusta. In Taiwan, the current common coffee beans
are Arabica, Robusta, and Liberica.Espresso is usually used as the basis of coffee drinks mixed
with other ingredients (e.g. milks or cocoa powder), such as Latte, Cappuccino, Caremel
Macchiato, and Mocca, without over-diluting the coffee ingredients. In general, Italian espresso is
stronger, and Americano is lighter. Hand dripping can retain unique aromas, such as floral aroma,
fruity aroma, and chocolate aroma of coffee beans from various places. Landscape coffee shops
should choose a particular coffee drink as their specialty,which has become one of the important
issues. This study used the AHP to investigate the factors affecting the landscape coffee shop
operators’ choice of coffee drink as a specialty in order to improve operating performance and
achieve sustainable operation.
2. LITERATURE REVIEW
In order to collect the data of the current public preference for coffee drinks in landscape coffee
shops, this study used the following research methods and procedures.
2.1. AHP
AHP was proposed by U.S. scholar T. L.Saaty, at the end of the 1970s[1]. This method can
integrate qualitative and quantitative data to deal with the decision-making problems of
complicated social, political, economic, and technical aspects. It can convert decision makers’
complicated decision-making thoughts into systemic, modeling, and mathematical data, in order
to solve multi-objective, multi-level, and multi-criteria decision-making problems. In addition, it
can accurately confirm the weight factors of each evaluation indicator to a certain extent. The
basic process of AHP is to decompose a complicated problem into various elements. These
elements are then divided into groups according to the relations of domination and subordination
to form an orderly hierarchical structure. Based on this structure, pairwise comparison is applied
to determine the relative importance of the various elements in each hierarchy. The weight of
various elements in decision-making is determined based on those judgments to enable decision
makers to more easily accept the relations of affecting factors.
Teng and Tseng[2,3] suggested that the use of AHP can be divided into two parts: the
establishment of hierarchy, and assessment of the hierarchy. AHP usespreliminarily expert and
scholar assessed factors of complicated problems,which are presentedas a simple hierarchical
structure. Afterwards, scale assessment is applied to perform pairwise comparison of the factors,
and develop the matrix. Eigenvectorsare then obtained, and the priorities of factors of the
hierarchy are compared. The consistency of a pairwise comparison matrix is tested to check
whether there is any error, and whether the matrix can be provided as reference. The procedures
of AHP are as shown in Figure 1. Traditional AHP uses a hierarchical structure to affect the
complicated relations among factors, and connect them systemically. As pairwise comparison is
used in AHP, the opinions of experts can be clearer and more effectively reflected.AHP first
analyzes and divides a complicated decision-making problem into several relevant hierarchical
structures. The factors of each hierarchy are displayed using a correlation tree. Experts then
perform pairwise comparison to determine the relevant importance of these factors. Afterwards,
linear algebra is used to calculate the relevant importance (which can be regarded as priority) of
the decision-making factors of each hierarchy, as compared to that of the objectives of the upper
hierarchy and the highest hierarchy. The relevant importance (priority) of each factor is calculated
downward, hierarchy by hierarchy. Finally, relevant importance can calculate the weight of each
factor affecting the objective, which is presented in a decision-making system.
3. International Journal of Computer Science & Information Technology (IJCSIT) Vol 9, No 3, June 2017
73
Theoretically, it is simpler and easier to operate AHP, and results can be used to effectively
obtain the common consensus of most experts and decision makers. In addition, it can present
complicated factors affecting the assessment in a simple hierarchical structure, as shown in Figure
2.Moreover, it enables decision makers to more easily accept the relations of affecting
factors[4-6].
Figure 1. AHP process [2,3]
Figure 2. AHP hierarchical structure[2,3]
2.2. INTERVIEW SURVEY METHOD
This study selected the personnel of the F&B industry, the coffee industry, tour guides, and
personnel in the leisure/tourism industry, as comprehensive interview respondents, asking them
about their preference for coffee drinks and their personal experiences, in order to obtain more
specific data. This study then designed a questionnaire according to the data collected from the
interviews. The results of interviews were used as an important factor for assessment. Moreover,
this study further analyzed and designed a questionnaire for assessment and the subsequent
4. International Journal of Computer Science & Information Technology (IJCSIT) Vol 9, No 3, June 2017
74
analyses, based on the analysis of the samples collected in the questionnaire survey system. This
is the main research procedure and structure of this study. It is intended that the use of AHP can
help better understand the choice of specialty coffee drinks[5].Pairwise comparison of the factors
of each hierarchy should be performed under the premise that a certain factor of an upper
hierarchy is used as evaluation criterion. Therefore, it was necessary to design a questionnaire for
each pairwise comparison. The subjects completed the questionnaires based on a 1-9 scale (scale
for each pairwise comparison of factors). According to the results obtained from the questionnaire
survey, this study developed the pairwise comparison matrix, used a computer to obtain the
eigenvalue and eigenvector of each pairwise comparison matrix, and then tested the consistency
of the matrix[6-8].
3. RESEARCH METHOD AND PROCEDURES
The implementation procedures of this study are as shown in Figure 3. This study conducted
literature review, expert interviews, and a questionnaire survey, to investigate the important
factors affecting landscape coffee shops’ opinions on choices of specialty coffee drinks. The data
collected from the questionnaire survey were analyzed using AHP. The factors affecting
landscape coffee shops’ choices of specialty coffee drinks and their weighted relations were
summarized. AHP can convert a complicated problem into a systemic hierarchical structure by
decomposing the problem. The weight of each factor was analyzed, hierarchy by hierarchy, as
based on quantitative scoring, which can be provided as the basis for overall assessment.
In general, each landscape coffee shop in Taiwan has its own specialty coffee drink to attract
consumers. This study investigated the standards and priorities that are applied to the selection of
coffee drinks, in order to provide references for ,landscape coffee shops in selecting specialty
coffee drinks. AHP was used to establish the “assessment of product choice of landscape coffee
shops,” as shown in Figure 4, and design the questionnaire for investigation, data collection, and
analysis. The ultimate goal was to analyze the critical factors affecting operators’ choices of
specialty coffee drink for their landscape coffee shops.To assess landscape coffee shops’
perceptions and assessments for specialty coffee drinks, this study divided the hierarchy into 3
levels. Level 1 was the assessment of product choice of landscape coffee shops; Level 2 was the
factors affecting the assessment; Level 3 was the lowest program constructs. Pairwise comparison
was performed on the factors, where 5 scales were (as shown in Table 1): strong, slightly strong,
quite strong, very strong, extremely strong, and intermediate value. The pairwise comparison
matrix was developed based on the structure of the questionnaire. The assessment value of the
factors of each hierarchy was calculated based on meta-analysis of the group decision.
5. International Journal of Computer Science & Information Technology (IJCSIT) Vol 9, No 3, June 2017
75
Figure 3. Research flowchart[7-9]
Figure 4. Hierarchical Structure of Landscape Coffee Shops’ Choice over Specialty Coffee Drink
Table 1. AHP evaluation scale semantics and descriptions [10,11]
6. International Journal of Computer Science & Information Technology (IJCSIT) Vol 9, No 3, June 2017
76
4. RESEARCH RESULTS
Excel and Expert Choice 2000 was used to analyze data, and AHP was used to calculate the
weights of various constructs. The verification process is as follows:
• The pairwise comparison matrix obtained using Expert Choice for data analysis is as
shown in Table 2:
Table 2. Pairwise Comparison Matrix of Affecting Factors at Level 2
The sum of the column of each affecting factor in Table 2 was used to calculate the standardized
values, as shown in Table 3:
Table 3. Standardized Pairwise Comparison Matrix and Weight of Affecting Factors at Level 2
• The results met the requirement of AHP, as proposed by Saaty (C.I. <= 0.1 & C.R. <=
0.1). Therefore, the consistency of this matrix was acceptable. The remaining constructs
of goal and indicators were also verified through this process. The summary analysis
showed that C.I. <= 0.1 & C.R. <= 0.1, thus, the consistency of the matrix was
acceptable, as shown in Table 4.
Table 4. Weights and Consistency Values
The weights and consistency values in Table 5 were calculated using the calculation methods
mentioned above:
7. International Journal of Computer Science & Information Technology (IJCSIT) Vol 9, No 3, June 2017
77
Table 5.Weights and Consistency Values
• Table 6 shows the results of consistency testing. As seen, the priorities of choice of
specialty coffee drink of landscape coffee shops are in the order ofItalian, Americano,
and hand dripping, as shown in Figure 5.
Table 6. Sum of the weighted evaluation
Figure 5. Sum of the weighted evaluation
According to the data above, landscape coffee shops operators’ choice of specialty coffee drink is
in the following order: Italian, Americano, and hand dripping coffee.
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
Robusta Arabica Liberica Sum ofthew eighted evaluation
A m ericano
Italian
H and dripping
8. International Journal of Computer Science & Information Technology (IJCSIT) Vol 9, No 3, June 2017
78
5. CONCLUSIONS
Traditionally, assessmentsof the choicesof specialty coffee drinksfor landscape coffee shop tend
to be restricted to existing conditions. Under the situation where information is insufficient or
incomplete, the basis of judgment will change. The current choices of specialty coffee drinks in
landscape coffee shops have become diversified. Analysis based only on traditional impressions
and maximum profits is insufficient for the selection of adequate specialty coffee drinks.Based on
some of the results mentioned above, it is generally accepted that the current choice of specialty
coffee drinks of landscape coffee shops are mainly Italian coffee and Americano coffee. The
proportion of hand dripping coffee is low, suggesting that operators of landscape coffee shops
should improve on their brewing skills of Italian coffee.
REFERENCES
[1] Saaty, T.L. (1980),The Analytic Hierarchy Process, New York: McGraw-Hill.
[2] Teng,J.Y. and Tzeng, G.H.,(1989) “The Analytic Hierarchy Process: Concepts, Techniques and
Applications (I)”,Journal of the Chinese Statistical Association, Vol.27(6), pp.5-22.
[3] Teng, J.Y. and Tzeng, G.H.,(1989) “The Analytic Hierarchy Process: Concepts, Techniques and
Applications (II)”, Journal of the Chinese Statistical Association, Vol.27(7), pp.1-20.
[4] Hou, C. I., Huang, H. C., Lo, C. Y., and Tsai, Y.H.,(2014)“A Study of Using AHP to Discuss
Landscape Cafe Site Selection”,Advanced Management Journal, Vol.1, pp.1-7.
[5] Lo, C. Y., Hsu, H. C., Hou, C. I., and Liao, Y.S., (2008)“AHP application of the decision-making
choice of hotels”,The 2008 Information Management International Conference of Yu-Da College of
Business, Taiwan, pp. 381-393.
[6] Hou, C.I., Chang, H.I., Ku, C.T., and Kulikowski, L.,(2013) “Using AHP to Compare and Select
Leisure Agricultural Area Land Investment Alternatives”,International Journal of Leisure Information
Management, Vol.1, pp.1-6.
[7] Hou, C. I., Huang, H. C., and Lo, C. Y., (2014)“Study on Decision Making to Construct Coffee Shop
E-commerce Websites”,International Journal of Leisure Business Management, Vol.2, pp.12-19.
[8] Li, T.S. and Huang, B.Y., (2008) “The Study of Applying Fuzzy Analytic Hierarchy Process in
Supplier Selection”,Journal of Quantitative Management, Vol.5(2), pp.39-56.
[9] Huang, H. C., (2012) “A Novel Site Assessment Model based on Fuzzy Analytic Hierarchy Process
for Water Recreation Activities”,Advances in Information Sciences and Service Sciences, Vol.4(21),
pp.72-81.
[10] Chan, T. S. and Kumar, N.,(2007) “Global supplier development considering risk factors using fuzzy
extended AHP-based approach”,Omega, Vol.35(4), pp.417-431.
[11] Hou, C. I., Lo, C. Y., and Huang, H. C., (2013) “The Views of Workers in the Leisure Industry on
Karma”,International Journal of Leisure Information Management, Vol.1(2), pp.5-11.