This document describes an ontology-based hybrid approach to activity modeling for smart homes. It discusses the limitations of existing data-driven approaches and proposes a hybrid knowledge-driven and data-driven approach. The proposed approach uses ontological engineering to create "seed" activity models, which are then deployed and incrementally evolved through activity discovery and model updates based on collected data. The approach was implemented in an assistive living system to test activity learning algorithms.
This documentation provides a brief insight of face recognition based attendance system using neural networks in terms of product architecture which can be used for educational purpose.
Syfte:
- pedagogisk och tydlig information om av styrelsen föreslagen bredbandsinvestering och kollektiv lösning för bostadsrättsföreningen Hamnkaptenen i Stockholm
- tjäna som beslutsunderlag inför föreningens årsstämma i maj 2014
För vem: de 221 hushållen i Brf Hamnkaptenen.
Även intressant för andra bostadsrättsföreningar som vill lära sig och inspireras av andra föreningars erfarenheter och slutsatser samt för bredbandsoperatörer som vill veta hur större brf'er resonerar i bredbandsfrågan.
This documentation provides a brief insight of face recognition based attendance system using neural networks in terms of product architecture which can be used for educational purpose.
Syfte:
- pedagogisk och tydlig information om av styrelsen föreslagen bredbandsinvestering och kollektiv lösning för bostadsrättsföreningen Hamnkaptenen i Stockholm
- tjäna som beslutsunderlag inför föreningens årsstämma i maj 2014
För vem: de 221 hushållen i Brf Hamnkaptenen.
Även intressant för andra bostadsrättsföreningar som vill lära sig och inspireras av andra föreningars erfarenheter och slutsatser samt för bredbandsoperatörer som vill veta hur större brf'er resonerar i bredbandsfrågan.
Data mining final year project in jalandhardeepikakaler1
e2 matrix provides IT consulting services to its customers. e2 matrix provides the flexible practices that enable companies to operate more efficiently and produce more value. We also offer a wide-range of technologies such as-
MATLAB
NS2
IMAGE PROCESSING
.NET
SOFTWARE TESTING
DATA MINING
NEURAL networks
HFSS
WEKA
ANDROID
CLOUD computing
COMPUTER NETWORKS
FUZZY LOGIC
ARTIFICIAL INTELLIGENCE
LABVIEW
EMBEDDED
VLSI
We are professionals who are driven by the viewpoint of customer satisfaction through Quality and Innovation.
e2matrix believe in an open working relationship produces a positive and productive work environment that results in effective and low-cost solutions. We maximize the customer benefits by bringing the most pioneering solutions.
Address-Opp. Phagwara Bus Stand, Above Bella
Pizza, Handa City Center, Phagwara,punjab
email addres-e2matrixphagwara@gmail.com
jalandhare2matrix@gmail.com
WEBSITE-www.e2matrix.com
CONTACT NUMBER --
09041262727
07508509730
7508509709
Se abordarán a los autores que han trabajado en los diferentes postulados teóricos de tratamiento para los TCA desde lo teórico y se enriquecerá con casos, tanto de los participantes como de los ponentes. De igual forma durante todo el diplomado se irán proponiendo las estrategias de manejo para cada caso y se abrirán grupos de discusión y supervisión.
Learner Model's Utilization in the e-Learning Environments
Vija VAGALE and Laila NIEDRITE
Faculty of Computing, University of Latvia, Raina boulv. 19, Riga, Latvia
Abstract. In the field of personalized systems big role is granted to the adaptive elearning environments. The task of these systems is very important and complicated. With their participation the learner gains exactly the knowledge he
needs most, and the system adapts to user needs, expectations and his individual features. In this kind of systems information about learner is saved in the learner model also known as the user model and student model. For the system to be able to perceive and analyze user activities correctly, is necessary to define what kind of information about the learner has to be saved. The article gives an overview about already existing learner models, their utilization methods and also it offers their comparison according to various criteria.
Review and analysis of machine learning and soft computing approaches for use...IJwest
The adequacy of user models depends mainly on the accuracy and precision of information that is retrieved to the user. The real challenge in user modelling studies is due to the inadequacy of data, improper use of techniques, noise within the data and imprecise nature of human behavior. For the best results of user modelling, one should choose an appropriate way to do it i.e. by selecting the best suitable approach for the desired domain. Machine learning and Soft computing Techniques have the ability to handle the uncertainty and are extensively being used for user modeling purpose. This paper reviews various approaches of user modeling and critically analyzes the machine learning and soft computing techniques that have successfully captured and formally modelled the human behavior.
Adaptive Learning Management System Using Semantic Web Technologies ijsc
Ontologies and semantic web services are the basics of next generation semantic web. This upcoming technologies are useful in many fields such as bioinformatics, business collaboration, Data integration and etc. E-learning is also the field in which semantic web technologies can be used to provide dynamism in learning methodologies. E-learning includes set of tasks which may be instructional design, content development, authoring, delivery, assessment, feedback and etc. that can be sequenced and composed as workflow. Web based Learning Management Systems should concentrate on how to satisfy the e-learners requirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learning management System which focuses on three aspects 1) Extracting the knowledge from the use's interaction, behaviour and actions and translate them into semantics which are represented as Ontologies 2) Find the Learner style from the knowledge base and 3)deriving and composing the workflow depending upon the learner style. The intelligent agents are used in each module of the framework to perform reasoning and finally the personalized workflow for the e-learner has been recommended.
ADAPTIVE LEARNING MANAGEMENT SYSTEM USING SEMANTIC WEB TECHNOLOGIESijsc
Ontologies and semantic web services are the basics of next generation semantic web. This upcoming
technologies are useful in many fields such as bioinformatics, business collaboration, Data integration and
etc. E-learning is also the field in which semantic web technologies can be used to provide dynamism in
learning methodologies. E-learning includes set of tasks which may be instructional design, content
development, authoring, delivery, assessment, feedback and etc. that can be sequenced and composed as
workflow. Web based Learning Management Systems should concentrate on how to satisfy the e-learners
requirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learning
management System which focuses on three aspects 1) Extracting the knowledge from the use's interaction,
behaviour and actions and translate them into semantics which are represented as Ontologies 2) Find the
Learner style from the knowledge base and 3)deriving and composing the workflow depending upon the
learner style. The intelligent agents are used in each module of the framework to perform reasoning and
finally the personalized workflow for the e-learner has been recommended.
Data mining final year project in jalandhardeepikakaler1
e2 matrix provides IT consulting services to its customers. e2 matrix provides the flexible practices that enable companies to operate more efficiently and produce more value. We also offer a wide-range of technologies such as-
MATLAB
NS2
IMAGE PROCESSING
.NET
SOFTWARE TESTING
DATA MINING
NEURAL networks
HFSS
WEKA
ANDROID
CLOUD computing
COMPUTER NETWORKS
FUZZY LOGIC
ARTIFICIAL INTELLIGENCE
LABVIEW
EMBEDDED
VLSI
We are professionals who are driven by the viewpoint of customer satisfaction through Quality and Innovation.
e2matrix believe in an open working relationship produces a positive and productive work environment that results in effective and low-cost solutions. We maximize the customer benefits by bringing the most pioneering solutions.
Address-Opp. Phagwara Bus Stand, Above Bella
Pizza, Handa City Center, Phagwara,punjab
email addres-e2matrixphagwara@gmail.com
jalandhare2matrix@gmail.com
WEBSITE-www.e2matrix.com
CONTACT NUMBER --
09041262727
07508509730
7508509709
Se abordarán a los autores que han trabajado en los diferentes postulados teóricos de tratamiento para los TCA desde lo teórico y se enriquecerá con casos, tanto de los participantes como de los ponentes. De igual forma durante todo el diplomado se irán proponiendo las estrategias de manejo para cada caso y se abrirán grupos de discusión y supervisión.
Learner Model's Utilization in the e-Learning Environments
Vija VAGALE and Laila NIEDRITE
Faculty of Computing, University of Latvia, Raina boulv. 19, Riga, Latvia
Abstract. In the field of personalized systems big role is granted to the adaptive elearning environments. The task of these systems is very important and complicated. With their participation the learner gains exactly the knowledge he
needs most, and the system adapts to user needs, expectations and his individual features. In this kind of systems information about learner is saved in the learner model also known as the user model and student model. For the system to be able to perceive and analyze user activities correctly, is necessary to define what kind of information about the learner has to be saved. The article gives an overview about already existing learner models, their utilization methods and also it offers their comparison according to various criteria.
Review and analysis of machine learning and soft computing approaches for use...IJwest
The adequacy of user models depends mainly on the accuracy and precision of information that is retrieved to the user. The real challenge in user modelling studies is due to the inadequacy of data, improper use of techniques, noise within the data and imprecise nature of human behavior. For the best results of user modelling, one should choose an appropriate way to do it i.e. by selecting the best suitable approach for the desired domain. Machine learning and Soft computing Techniques have the ability to handle the uncertainty and are extensively being used for user modeling purpose. This paper reviews various approaches of user modeling and critically analyzes the machine learning and soft computing techniques that have successfully captured and formally modelled the human behavior.
Adaptive Learning Management System Using Semantic Web Technologies ijsc
Ontologies and semantic web services are the basics of next generation semantic web. This upcoming technologies are useful in many fields such as bioinformatics, business collaboration, Data integration and etc. E-learning is also the field in which semantic web technologies can be used to provide dynamism in learning methodologies. E-learning includes set of tasks which may be instructional design, content development, authoring, delivery, assessment, feedback and etc. that can be sequenced and composed as workflow. Web based Learning Management Systems should concentrate on how to satisfy the e-learners requirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learning management System which focuses on three aspects 1) Extracting the knowledge from the use's interaction, behaviour and actions and translate them into semantics which are represented as Ontologies 2) Find the Learner style from the knowledge base and 3)deriving and composing the workflow depending upon the learner style. The intelligent agents are used in each module of the framework to perform reasoning and finally the personalized workflow for the e-learner has been recommended.
ADAPTIVE LEARNING MANAGEMENT SYSTEM USING SEMANTIC WEB TECHNOLOGIESijsc
Ontologies and semantic web services are the basics of next generation semantic web. This upcoming
technologies are useful in many fields such as bioinformatics, business collaboration, Data integration and
etc. E-learning is also the field in which semantic web technologies can be used to provide dynamism in
learning methodologies. E-learning includes set of tasks which may be instructional design, content
development, authoring, delivery, assessment, feedback and etc. that can be sequenced and composed as
workflow. Web based Learning Management Systems should concentrate on how to satisfy the e-learners
requirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learning
management System which focuses on three aspects 1) Extracting the knowledge from the use's interaction,
behaviour and actions and translate them into semantics which are represented as Ontologies 2) Find the
Learner style from the knowledge base and 3)deriving and composing the workflow depending upon the
learner style. The intelligent agents are used in each module of the framework to perform reasoning and
finally the personalized workflow for the e-learner has been recommended.
Towards a new ontology of the Moroccan Post-baccalaureate learner profile for...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
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2014 IEEE JAVA PARALLEL DISTRIBUTED PROJECT An ontology based hybrid approach to activity modeling for smart homes
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An Ontology-Based Hybrid Approach to Activity
Modeling for Smart Homes
Abstract
Activity models play a critical role for activity recognition and assistance in
ambient assisted living. Existing approaches to activity modeling suffer from a
number of problems, e.g., model reusability, and incompleteness. In an effort to
address these problems, we introduce an ontology-based hybrid approach to
activity modeling that combines domain knowledge basedmodel specification and
data-driven model learning. Central to the approach is an iterative process that
begins with “seed” activity models created by ontological engineering. The “seed”
models are deployed, and subsequently evolved through incremental activity
discovery and model update. While our previous work has detailed ontological
activity modeling and activity recognition, this paper focuses on the systematic
hybrid approach and associated methods and inference rules for learning new
activities and user activity profiles. The approach has been implemented in a
feature rich assistive living system. Analysis of the experiments conducted has
been undertaken in an effort to test and evaluate the activity learning algorithms
and associated mechanisms.
2. System Analysis
Existing System:
The Existing system is data driven approach, the drawback of this system is
related to model applicability and reusability. A data-driven approach is sensitive
to unseen data which makes it difficult to apply the ADL models which have been
learnt from one person to another person. This means that with a data-driven
approach, an activity model for different users has to be learnt separately. The third
drawback is the incompleteness of activity models which is closely related to the
aforementioned two issues. With the data-driven approach, every activity model
for all the ADLs for every user needs to be learnt in order to create complete ADL
models. Given the large number of ADLs this is a huge challenge, if indeed not
impossible, in practice. To mitigate the aforementioned problems, researchers have
recently started applying transfer learning techniques to activity modeling and
recognition by reusing resources and knowledge. This involves transferring the
source datasets, or features or models, from one user to another in different
settings. An alternative to the data-driven approach is to manually define activity
models by making use of rich, prior knowledge, and domain heuristics.
Proposed System:
This approach is motivated by the observation that most ADLs are daily
routines which normally take place within a specific circumstance of time,
location, and space with relatively fixed types of objects. Using formal knowledge
acquisition and modeling technologies, activity models can be created by means of
various knowledge modeling tools. As this approach is closely related to
3. knowledge engineering, it is referred to as a knowledge driven approach. A
knowledge-driven approach improves model reusability by modeling activities at
multiple levels of abstraction to create both generalized and specialized ADL
models. For example, ontological activity modeling can model a generic ADL as
an ontological activity class and an individual-specific ADL as an instance of the
corresponding activity class. ADL modeling is not a one-off effort, instead, a
multiphase iterative process that interleaves knowledge-based model specifications
and data-driven model learning. The process consists of two key phases.
Ontological activity modeling creates activity models at two levels of
abstractions, namely as ontological activity concepts and their instances,
respectively. Ontological activity concepts represent generic coarse-grained
activity models applicable and reusable for all users, thus solving the reusability
problem. The seed ADL models are then used in applications for activity
recognition at the second phase. In the third phase, the activity classification results
from the second phase are analyzed to discover new activities and user profiles.
These learnt activity patterns are in turn used to update the ADL models, thus
solving the incompleteness problem. Once the first phase completes, the remaining
two-phase process can be iterated many times to incrementally evolve the ADL
models, leading to complete, accurate, and up-to-date ADL models. This paper
makes three main contributions. First, we develop a hybrid approach to activity
modeling that combines the strengths of data- and knowledge-driven approaches to
support an incremental modeling process. The approach is built upon the work in
however, extends it by incorporating the learning capabilities to provide a viable
solution for addressing existing problems relating to ADL modeling. Second, we
develop a learning method to discover activities that are performed by users but
have not yet been modeled. Third, we define the characteristics of a user activity
profile and develop analysis methods and associated inference rules to learn a
4. user’s activity profiles, i.e., the specific way the user performs activities. The
learning methods of activity profiles can detect the changing manner an activity is
performed, thus allowing ADL models to adapt over time. We have implemented
the approach in a feature-rich assistive living system.
Modules:
1. Activity Module.
2. Categories.
3. Carer module.
4. User Module.
5. Reports Module.
Module description:
1. Activity Module:
In the Activity module, the user can register the User Activities,after
registering the activity the e-mail will go to the respected carer along with the
registered activity details.In “An Ontology-Based Hybrid Approach to Activity
Modelling for Smart Homes” project , user can reuse the already created
activities which are created by other users and his activities also.
This module is accessed by all the users but for carer registering the
activity functionality is restricted, carer can see only the activities which are
assigned to him Admin/Resident, Relative can use this module.
2. Categories module:
5. This module is accessible to only for Admin/Resident.Using this module
they can register the Activity Types and Sub-Categories in Each activity type.
For an example:
Activity Type:Cooking
Sub-Categories are : Breakfast,Lunch,Snacks,Supper…..
3. Carers module:
This module is accessed by Admin/Resident,Carer .Using this
module admin/resident only having the permissions to add/edit/delete the
carer.where as coming to carer role they can update the details they don’t have
the permissions to add/delete the carer.
4. Users Module:
This module is accessible to admin/Resident only, the other roles don’t have
the permission to access this module using this module the admin can register
the users.
If the admin wants to register the carer user details then the cares should be
avavliable in the carer module(should register under carer module).
5. Reports Module:
Reports module is accessible to admin/Resident roles only,Using this module
,the admin can perform the search on all created useractivities and re-used
activities and based on the search they can generate the reports to excel.They can
do the search by carer,by category,between the dates.Dates is the mandatory fields.
6. Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• Ram : 256 Mb.
Software Requirements:
• Operating system : - Windows 7.
• Front End : - Visual Studio 2008sp1.
• Coding Language : - Asp.net.
• Backend-database :- SQL Server 2008