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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2923
SPECIAL ORGANIZATION THROUGH ENTITY RULING FOR HANDLING
E-GRIEVANCE
Mr.K.Arun1, Surya.R2, Vipin.M.V3
1Assistant Professor, Dept. of Computer Science and Engineering, Jeppiaar SRR Engineering College, Padur,
Chennai-603103
2Final year Student, Dept. of Computer Science and Engineering, Jeppiaar SRR Engineering College, Padur,
Chennai-603103
3 Final year Student, Dept. of Computer Science and Engineering, Jeppiaar SRR Engineering College, Padur,
Chennai-603103
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - E-grievance is online query transmitting
system, where the queries areregisteredine-form.Andit
is the platform basedonwebtechnologywhich primarily
aims to enable submissionofgrievancesbytheaggrieved
citizens from anywhereandanytime.E-grievancesystem
should be built in the principles of governance like
participation, transparency, responsiveness, equity and
inclusiveness,effectiveness,efficiencyandaccountability.
Hence, we develop a user-friendly web application for
transmitting the e-complaints and to check the status of
the e-complaints.
Key Words: Rule based entity, Matching Dependency, E-
Complaints, Similarity, Allocation, Validation.
1. INTRODUCTION
The existing system of E-grievance depends on the
definite timestamp ways, which may solely reason a
relative currency order with currencyconstraints,(i.e)
sending the complaints and helping the complaints to
specific terms area unit wiped out manual method.
during this system, potency and accuracy maintains
area unit less. During this system, a model is intended
to live evolving prospectsofattributesandadditionally
it partition the records into blocks with matching
dependencies.
In our project, we've a bent to manage the matter of
rule-based entity resolution for E-grievance. Entity
resolution (ER) may be a wide explored analysis
community. Earlier, sending the complaints and
helping the complaints to specific terms area unit
wiped out manual method. In our planned system,
we've enforced the rule-based entity resolution for
sending the E-grievance. As a result of the elapsing of
some time, records concerning the same entity
discovered in various time periods may even be totally
different. Besides ancient similarity-based ER
approaches, by strictly exploring several info quality
rules, e.g., matching dependency and data currency,
plentiful information are going to be obtained to
facilitate to handle this draw back. Throughout this
project, we've a bent to use such rules to assign the
work to individual department mechanically. Hence,
the experimental result onevery real and artificialinfo
shows that our entity resolution technique area unit
ready to do every high accuracy and efficiency on
datasets with hidden temporal information.
This also solves the problems of entity resolution on
inaccurate temporal knowledge. We have planned a
rule-based ER methodology to handle the entity price
evolution effectively for process E-grievance. We tend
to apply rules to assign the work to individual
department mechanicallyandtoworkoutthecurrency
order of records from target attributes. Numerous
experiments on each real-life and artificial knowledge
verify our ways out-performs ancient ways in entity
resolution on knowledge while not timestamps, and
our methodology achieves virtually constant
performance on temporal knowledge. Hence, by our
planned system, sending of E-grievance is finished
expeditiously.
1.1 Purpose of the project
In the existing system various flaws are found, to
overcome this we are developing a user friendly web
application. So we develop a E-Grievance system to
transmit the online query and to check the status of the
transmitted query. And moreover, in the existing
system the complaint are directly registered to the
respective department. But, in our system the
complaint are transmitted to the server end and their
complaint are validated and then thequeryissenttoits
respectivedepartment.Thentherespectivedepartment
acts on it, updates the process of the complaint to the
server. Once, if the user login’s and try to check the
status of the complaint, and the user will get feedback
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2924
from the server end. Hence, by this way transmitting of
E-grievance is done efficiently.
1.2 Disadvantage of the Existing Project
1. Lack of customer management.
2. Time consuming process.
3. Handling Data currency is difficult.
1.3 Proposed System
This work aims to design a user-friendly web
application to the common pupil. Hence, we have
proposed a rule-based ER method to address the entity
value evolution effectively for processing E-grievance.
Inourproposedsystem,wehaveimplementedtherule-
based entity resolution for transmitting the E-
grievance, to overcome the issues faced in the existing
system. Here, we have a tendency to use such rules to
allocate the work to respective department
automatically. In this system, a model is designed to
measure evolving possibilities of attributes and also it
partition the records into blocks with matching
dependencies.
1.4 Advantages of Proposed System:
1. Effective customer management.
2. Time constraint is less.
3. Effective handling of Data Currency.
1.5 STUDY OF THE PROJECT
Sending and Checking the Grievances
To create a valid login, the user registers the data into
the form and then registers. After the completion of
registration, the consumer logs into the account for
further purpose. Here the user is provided with two
functions-Sendinggrievanceandcheckingthestatus of
the registered grievance. If the user selects the send
grievance option, then the complaints form will be
viewed to the user-end. Then the user will the
complaint and later, can check the status of it.
Validation and Allocation
The admin or the server performs the following
function:
 It provides the authentication for each
department.
 It views the complaints receivedfromtheuser-
end, and validates the query using the entity
resolution.
 Based on set of rules instructed to admin, it
allocates the complaints to the respective
department.
 It also checks the update from the department.
Updating the Status
The department perform the following functions:
 The department-admin logs into the account,
using the authentication provided by the
administrator.
 The department views the complaints and
response to the same.
 After the particular complaint resolved, the
departmentupdatesthestatusofthecomplaint
to Admin.
1.6 SYSTEM ARCHITECTURE
2. SYSTEM SECURITY
2.1 Introduction
The protection of computer based resources that
includes hardware, software, data, procedures and
people against unauthorized use or natural Disaster is
known as System Security.
Securitysystem can be divided intofourrelatedissues:
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2925
1. Integrity
2. Security
3. Privacy
4. Confidentiality
System Security refers to the technical innovations
and procedures applied to thehardwareandoperation
systems to protect against deliberate or accidental
damage from a defined threat.
Data Security is the protection of data from loss,
disclosure, modification and destruction.
System Integrity refers to the power functioning of
hardware and programs, appropriatephysicalsecurity
and safety against external threats such as
eavesdropping and wiretapping.
Privacy defines the rights of the user or organizations
to determine what information they are willing to
share with or accept from others and how the
organization can be protected against unwelcome,
unfair or excessive disseminationofinformationabout
it.
Confidentiality is a special status given to sensitive
information in a database to minimize the possible
invasion of privacy.Itisanattributeofinformationthat
characterizes its need for protection.
2.2 Security in Software
System security refers to various validationsondatain
the form of checks and controls to avoid the system
from failing. It is always important to ensure that only
valid data is entered and only valid operations are
performed on the system. The system employs two
types of checks and controls.
2.3 Client Side Validation
Various client side validations are used to ensure on
the client side that only valid data is entered. Client
side validation saves server time and load to handle
invalid data. Some checks are imposed:
JavaScript in used to ensure those required fields are
filled with suitable data only. Maximum lengths of the
fields of the forms are appropriately defined.
Forms cannot be submitted without filling up the
mandatory data so that manual mistakes of submitting
empty fields that are mandatory can be sorted out at
the client side to save the server time and load.
Tab-indexes are set according to the need and taking
into account the ease of use while working with the
system.
2.4 Server Side Validation
Some checks cannot be applied on the client side.
Server side checks are necessary to save the system
from failing and intimating the user that some invalid
operation has been performed or the performed
operation is restricted. Some of the server side checks
imposed is:
A server side constraint has been imposed to check for
the validity of primary key and foreign key. A primary
duplicate the primary value results in a message key
value cannot be duplicated. Any attempt to intimating
the user about those values through the forms using
foreign key can be updated only of the existing foreign
key values.
The user is intimated through appropriate messages
aboutthesuccessfuloperationsorexceptionsoccurring
at server side.
3. FUTURE ENHANCEMENT
Future work includes seeking for more rules to model
the evolving trend of the temporal data more accurate
and learning efficient methods to find the rules. The
user can also register their complaints in form of
images. And also they can upload the issue occurred
area in form of video. You could be perceived as a
malcontent and responses in the future (for
transcripts) could be lengthy. And you could alienate
the committee and administration.
4. CONCLUSION
This project solves the issues of entity resolution on
imprecise temporal data. We have proposed a rule-
based ER method to address the entity value evolution
effectively for processing E-grievance. We apply rules
to allocate the work to respective department
automatically and to determine the currency order of
records from target attributes.Variousexperimentson
both real-life and synthetic data verify our methods
outperform traditional methodsinentityresolutionon
data without timestamps, and our method achieves
almost the same performanceontemporaldata.Hence,
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2926
by our proposed system, transmitting ofE-grievanceis
done efficiently.
5. REFERENCES
[1] K. Elmagarmid, P. G. Ipeirotis, and V. S.
Verykios, “Duplicate record detection: A
survey,” IEEE Transactions on Knowledge
and Data Engineering, vol. 19, no. 1, pp. 1–
16, 2007.
[2] N. Koudas, S. Sarawagi, and D. Srivastava,
“Record linkage: similarity measures and
algorithms,” in ACM SIGMOD International
Conference on Management of Data,
Chicago, Illinois, Usa, June, 2006, pp. 802–
803.
[3] W. E. Winkler, “String comparator metrics
and enhanced decision rules in the fellegi-
sunter model of record linkage.”
Proceedings of the, p. 8, 1990.
[4] L. I. Pei, X. L. Dong, A. Maurino, and D.
Srivastava, “Linking temporal records,”
PVLDB, vol. 4, no. 11, pp. 956–967, 2011.
[5] H. Zhang, Y. Diao, and N. Immerman,
“Recognizing patterns in streams with
imprecise timestamps,” Proceedings of the
Vldb Endowment, vol. 38, no. 8, pp. 1187–
1211, 2013.

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IRJET- Special Organization through Entity Ruling for Handling E-Grievance

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2923 SPECIAL ORGANIZATION THROUGH ENTITY RULING FOR HANDLING E-GRIEVANCE Mr.K.Arun1, Surya.R2, Vipin.M.V3 1Assistant Professor, Dept. of Computer Science and Engineering, Jeppiaar SRR Engineering College, Padur, Chennai-603103 2Final year Student, Dept. of Computer Science and Engineering, Jeppiaar SRR Engineering College, Padur, Chennai-603103 3 Final year Student, Dept. of Computer Science and Engineering, Jeppiaar SRR Engineering College, Padur, Chennai-603103 ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - E-grievance is online query transmitting system, where the queries areregisteredine-form.Andit is the platform basedonwebtechnologywhich primarily aims to enable submissionofgrievancesbytheaggrieved citizens from anywhereandanytime.E-grievancesystem should be built in the principles of governance like participation, transparency, responsiveness, equity and inclusiveness,effectiveness,efficiencyandaccountability. Hence, we develop a user-friendly web application for transmitting the e-complaints and to check the status of the e-complaints. Key Words: Rule based entity, Matching Dependency, E- Complaints, Similarity, Allocation, Validation. 1. INTRODUCTION The existing system of E-grievance depends on the definite timestamp ways, which may solely reason a relative currency order with currencyconstraints,(i.e) sending the complaints and helping the complaints to specific terms area unit wiped out manual method. during this system, potency and accuracy maintains area unit less. During this system, a model is intended to live evolving prospectsofattributesandadditionally it partition the records into blocks with matching dependencies. In our project, we've a bent to manage the matter of rule-based entity resolution for E-grievance. Entity resolution (ER) may be a wide explored analysis community. Earlier, sending the complaints and helping the complaints to specific terms area unit wiped out manual method. In our planned system, we've enforced the rule-based entity resolution for sending the E-grievance. As a result of the elapsing of some time, records concerning the same entity discovered in various time periods may even be totally different. Besides ancient similarity-based ER approaches, by strictly exploring several info quality rules, e.g., matching dependency and data currency, plentiful information are going to be obtained to facilitate to handle this draw back. Throughout this project, we've a bent to use such rules to assign the work to individual department mechanically. Hence, the experimental result onevery real and artificialinfo shows that our entity resolution technique area unit ready to do every high accuracy and efficiency on datasets with hidden temporal information. This also solves the problems of entity resolution on inaccurate temporal knowledge. We have planned a rule-based ER methodology to handle the entity price evolution effectively for process E-grievance. We tend to apply rules to assign the work to individual department mechanicallyandtoworkoutthecurrency order of records from target attributes. Numerous experiments on each real-life and artificial knowledge verify our ways out-performs ancient ways in entity resolution on knowledge while not timestamps, and our methodology achieves virtually constant performance on temporal knowledge. Hence, by our planned system, sending of E-grievance is finished expeditiously. 1.1 Purpose of the project In the existing system various flaws are found, to overcome this we are developing a user friendly web application. So we develop a E-Grievance system to transmit the online query and to check the status of the transmitted query. And moreover, in the existing system the complaint are directly registered to the respective department. But, in our system the complaint are transmitted to the server end and their complaint are validated and then thequeryissenttoits respectivedepartment.Thentherespectivedepartment acts on it, updates the process of the complaint to the server. Once, if the user login’s and try to check the status of the complaint, and the user will get feedback
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2924 from the server end. Hence, by this way transmitting of E-grievance is done efficiently. 1.2 Disadvantage of the Existing Project 1. Lack of customer management. 2. Time consuming process. 3. Handling Data currency is difficult. 1.3 Proposed System This work aims to design a user-friendly web application to the common pupil. Hence, we have proposed a rule-based ER method to address the entity value evolution effectively for processing E-grievance. Inourproposedsystem,wehaveimplementedtherule- based entity resolution for transmitting the E- grievance, to overcome the issues faced in the existing system. Here, we have a tendency to use such rules to allocate the work to respective department automatically. In this system, a model is designed to measure evolving possibilities of attributes and also it partition the records into blocks with matching dependencies. 1.4 Advantages of Proposed System: 1. Effective customer management. 2. Time constraint is less. 3. Effective handling of Data Currency. 1.5 STUDY OF THE PROJECT Sending and Checking the Grievances To create a valid login, the user registers the data into the form and then registers. After the completion of registration, the consumer logs into the account for further purpose. Here the user is provided with two functions-Sendinggrievanceandcheckingthestatus of the registered grievance. If the user selects the send grievance option, then the complaints form will be viewed to the user-end. Then the user will the complaint and later, can check the status of it. Validation and Allocation The admin or the server performs the following function:  It provides the authentication for each department.  It views the complaints receivedfromtheuser- end, and validates the query using the entity resolution.  Based on set of rules instructed to admin, it allocates the complaints to the respective department.  It also checks the update from the department. Updating the Status The department perform the following functions:  The department-admin logs into the account, using the authentication provided by the administrator.  The department views the complaints and response to the same.  After the particular complaint resolved, the departmentupdatesthestatusofthecomplaint to Admin. 1.6 SYSTEM ARCHITECTURE 2. SYSTEM SECURITY 2.1 Introduction The protection of computer based resources that includes hardware, software, data, procedures and people against unauthorized use or natural Disaster is known as System Security. Securitysystem can be divided intofourrelatedissues:
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2925 1. Integrity 2. Security 3. Privacy 4. Confidentiality System Security refers to the technical innovations and procedures applied to thehardwareandoperation systems to protect against deliberate or accidental damage from a defined threat. Data Security is the protection of data from loss, disclosure, modification and destruction. System Integrity refers to the power functioning of hardware and programs, appropriatephysicalsecurity and safety against external threats such as eavesdropping and wiretapping. Privacy defines the rights of the user or organizations to determine what information they are willing to share with or accept from others and how the organization can be protected against unwelcome, unfair or excessive disseminationofinformationabout it. Confidentiality is a special status given to sensitive information in a database to minimize the possible invasion of privacy.Itisanattributeofinformationthat characterizes its need for protection. 2.2 Security in Software System security refers to various validationsondatain the form of checks and controls to avoid the system from failing. It is always important to ensure that only valid data is entered and only valid operations are performed on the system. The system employs two types of checks and controls. 2.3 Client Side Validation Various client side validations are used to ensure on the client side that only valid data is entered. Client side validation saves server time and load to handle invalid data. Some checks are imposed: JavaScript in used to ensure those required fields are filled with suitable data only. Maximum lengths of the fields of the forms are appropriately defined. Forms cannot be submitted without filling up the mandatory data so that manual mistakes of submitting empty fields that are mandatory can be sorted out at the client side to save the server time and load. Tab-indexes are set according to the need and taking into account the ease of use while working with the system. 2.4 Server Side Validation Some checks cannot be applied on the client side. Server side checks are necessary to save the system from failing and intimating the user that some invalid operation has been performed or the performed operation is restricted. Some of the server side checks imposed is: A server side constraint has been imposed to check for the validity of primary key and foreign key. A primary duplicate the primary value results in a message key value cannot be duplicated. Any attempt to intimating the user about those values through the forms using foreign key can be updated only of the existing foreign key values. The user is intimated through appropriate messages aboutthesuccessfuloperationsorexceptionsoccurring at server side. 3. FUTURE ENHANCEMENT Future work includes seeking for more rules to model the evolving trend of the temporal data more accurate and learning efficient methods to find the rules. The user can also register their complaints in form of images. And also they can upload the issue occurred area in form of video. You could be perceived as a malcontent and responses in the future (for transcripts) could be lengthy. And you could alienate the committee and administration. 4. CONCLUSION This project solves the issues of entity resolution on imprecise temporal data. We have proposed a rule- based ER method to address the entity value evolution effectively for processing E-grievance. We apply rules to allocate the work to respective department automatically and to determine the currency order of records from target attributes.Variousexperimentson both real-life and synthetic data verify our methods outperform traditional methodsinentityresolutionon data without timestamps, and our method achieves almost the same performanceontemporaldata.Hence,
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2926 by our proposed system, transmitting ofE-grievanceis done efficiently. 5. REFERENCES [1] K. Elmagarmid, P. G. Ipeirotis, and V. S. Verykios, “Duplicate record detection: A survey,” IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 1, pp. 1– 16, 2007. [2] N. Koudas, S. Sarawagi, and D. Srivastava, “Record linkage: similarity measures and algorithms,” in ACM SIGMOD International Conference on Management of Data, Chicago, Illinois, Usa, June, 2006, pp. 802– 803. [3] W. E. Winkler, “String comparator metrics and enhanced decision rules in the fellegi- sunter model of record linkage.” Proceedings of the, p. 8, 1990. [4] L. I. Pei, X. L. Dong, A. Maurino, and D. Srivastava, “Linking temporal records,” PVLDB, vol. 4, no. 11, pp. 956–967, 2011. [5] H. Zhang, Y. Diao, and N. Immerman, “Recognizing patterns in streams with imprecise timestamps,” Proceedings of the Vldb Endowment, vol. 38, no. 8, pp. 1187– 1211, 2013.