Call for Papers - 2nd International Conference on Big Data (CBDA 2021)
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2nd International Conference on Big Data (CBDA 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data.
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5th International Conference on Internet of Things & Embedded Systems (IoTE 2...
5th International Conference on Internet of Things & Embedded Systems (IoTE 2...ijujournal
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#researchers #researchscholar #conferences #2024conference #london #unitedkingdom #internetofthings #iot #technology #blockchain #electronics #embeddedsoftware #embeddedsystems #callforpapers #articles #phdresearchers #softwareengineering #machinelearning #robotics #interoperability #iotsecurity #wirelessnetwork #cybersecurity #bigdata #artificialintelligence #nlp #artificialintelligence #informationretrieval #bigdata #bioinformatics #datamining #machinelearning #fuzzylogic #textmining #softcomputing #robotics #neuralnetworks #engineering #technology #computervision #deeplearning #ontologies #socialmedia #web #analytics #ubiquitouscomputing #naturallanguageprocessing #ai #knowledgerepresentation #multimedia #informationtechnology
Call for Papers.!!!!
5th International Conference on Internet of Things & Embedded Systems (IoTE 2024)
November 23 ~ 24, 2024, London, United Kingdom
Free Extended Paper will be published as free of cost.
Web page URL: https://acity2024.org/iote/index
Authors are invited to submit papers through the conference Submission System.
Submission URL : https://acity2024.org/submission/index.php
submission deadline; October 26, 2024
Contact Us
Here's where you can reach us : iote@acity2024.org or ioteconf@yahoo.com11th International Conference on Computer Networks & Data Communications (CND...
11th International Conference on Computer Networks & Data Communications (CND...ijujournal
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11th International Conference on Computer Networks & Data Communications (CNDC 2024) will provide an excellent international forum for sharing knowledge and results in theory and applications of Computer Networks and Data Communications. The Conference looks for significant contributions to the Computer Networks and Communications for wired and wireless networks in theoretical and practical aspects. Original papers are invited on Networks, wireless and Mobile, Protocols and wireless networks and security.Users Approach on Providing Feedback for Smart Home Devices Phase II
Users Approach on Providing Feedback for Smart Home Devices Phase IIijujournal
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Smart Home technology has accomplished extraordinary success in making individuals' lives more straightforward and relaxing. Technology has recently brought about numerous savvy and refined frame works that advanced clever living innovation. In this paper, we will investigate the behavioral intention of user's approach to providing feedback for smart home devices. We will conduct an online survey for a sample of three to five students selected by simple random sampling to study the user's motto for giving feedback on smart home devices and their expectations. We have observed that most users are ready to actively share their input on smart home devices to improve the product's service and quality to fulfill the users needs and make their lives easier.Users Approach on Providing Feedback for Smart Home Devices Phase II
Users Approach on Providing Feedback for Smart Home Devices Phase IIijujournal
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Smart Home technology has accomplished extraordinary success in making individuals' lives more
straightforward and relaxing. Technology has recently brought about numerous savvy and refined frame
works that advanced clever living innovation. In this paper, we will investigate the behavioral intention of
user's approach to providing feedback for smart home devices. We will conduct an online survey for a
sample of three to five students selected by simple random sampling to study the user's motto for giving
feedback on smart home devices and their expectations. We have observed that most users are ready to
actively share their input on smart home devices to improve the product's service and quality to fulfill the
users needs and make their lives easier.
October 2023-Top Cited Articles in IJU.pdf
October 2023-Top Cited Articles in IJU.pdfijujournal
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International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.ACCELERATION DETECTION OF LARGE (PROBABLY) PRIME NUMBERS
ACCELERATION DETECTION OF LARGE (PROBABLY) PRIME NUMBERSijujournal
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This document discusses methods for efficiently generating large prime numbers for use in RSA cryptography. It presents experimental results measuring the time taken to generate prime numbers when trial dividing the starting number by different numbers of initial primes before applying the Miller-Rabin primality test. The optimal number of trial divisions can be estimated as B=E/D, where E is the time for Miller-Rabin test and D is the maximum usefulness of trial division. Experimental results on different sized numbers support dividing by around 20 initial primes as optimal.A novel integrated approach for handling anomalies in RFID data
A novel integrated approach for handling anomalies in RFID dataijujournal
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Radio Frequency Identification (RFID) is a convenient technology employed in various applications. The
success of these RFID applications depends heavily on the quality of the data stream generated by RFID
readers. Due to various anomalies found predominantly in RFID data it limits the widespread adoption of
this technology. Our work is to eliminate the anomalies present in RFID data in an effective manner so that
it can be applied for high end applications. Our approach is a hybrid approach of middleware and
deferred because it is not always possible to remove all anomalies and redundancies in middleware. The
processing of other anomalies is deferred until the query time and cleaned by business rules. Experimental
results show that the proposed approach performs the cleaning in an effective manner compared to the
existing approaches.
UBIQUITOUS HEALTHCARE MONITORING SYSTEM USING INTEGRATED TRIAXIAL ACCELEROMET...
UBIQUITOUS HEALTHCARE MONITORING SYSTEM USING INTEGRATED TRIAXIAL ACCELEROMET...ijujournal
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Ubiquitous healthcare has become one of the prominent areas of research inorder to address the
challenges encountered in healthcare environment. In contribution to this area, this study developed a
system prototype that recommends diagonostic services based on physiological data collected in real time
from a distant patient. The prototype uses WBAN body sensors to be worn by the individual and an android
smart phone as a personal server. Physiological data is collected and uploaded to a Medical Health
Server (MHS) via GPRS/internet to be analysed. Our implemented prototype monitors the activity, location
and physiological data such as SpO2 and Heart Rate (HR) of the elderly and patients in rehabilitation. The
uploaded information can be accessed in real time by medical practitioners through a web application.
ENHANCING INDEPENDENT SENIOR LIVING THROUGH SMART HOME TECHNOLOGIES
ENHANCING INDEPENDENT SENIOR LIVING THROUGH SMART HOME TECHNOLOGIESijujournal
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The population of elderly folks is ballooning worldwide as people live longer. But getting older often
means declining health and trouble living solo. Smart home tech could keep an eye on old folks and get
help quickly when needed so they can stay independent. This paper looks at a system combining wireless
sensors, video watches, automation, resident monitoring, emergency detection, and remote access. Sensors
track health signs, activities, appliance use. Video analytics spot odd stuff like falls. Sensor fusion and
machine learning find normal patterns so wonks can see unhealthy changes and send alerts. Multi-channel
alerts reach caregivers and emergency folks. A LabVIEW can integrate devices and enables local and
remote oversight and can control and handle emergency responses. Benefits seem to be early illness clues,
quick help, less burden on caregivers, and optimized home settings. But will old folks use all this tech? Can
we prove it really helps folks live longer and better? More research on maximizing reliability and
evaluating real-world impacts is needed. But designed thoughtfully, smart homes could may profoundly
improve the aging experience.
HMR LOG ANALYZER: ANALYZE WEB APPLICATION LOGS OVER HADOOP MAPREDUCE
HMR LOG ANALYZER: ANALYZE WEB APPLICATION LOGS OVER HADOOP MAPREDUCEijujournal
油
In todays Internet world, log file analysis is becoming a necessary task for analyzing the customers
behavior in order to improve advertising and sales as well as for datasets like environment, medical,
banking system it is important to analyze the log data to get required knowledge from it. Web mining is the
process of discovering the knowledge from the web data. Log files are getting generated very fast at the
rate of 1-10 Mb/s per machine, a single data center can generate tens of terabytes of log data in a day.
These datasets are huge. In order to analyze such large datasets we need parallel processing system and
reliable data storage mechanism. Virtual database system is an effective solution for integrating the data
but it becomes inefficient for large datasets. The Hadoop framework provides reliable data storage by
Hadoop Distributed File System and MapReduce programming model which is a parallel processing
system for large datasets. Hadoop distributed file system breaks up input data and sends fractions of the
original data to several machines in hadoop cluster to hold blocks of data. This mechanism helps to
process log data in parallel using all the machines in the hadoop cluster and computes result efficiently.
The dominant approach provided by hadoop to Store first query later, loads the data to the Hadoop
Distributed File System and then executes queries written in Pig Latin. This approach reduces the response
time as well as the load on to the end system. This paper proposes a log analysis system using Hadoop
MapReduce which will provide accurate results in minimum response time.
SERVICE DISCOVERY A SURVEY AND COMPARISON
SERVICE DISCOVERY A SURVEY AND COMPARISONijujournal
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The document summarizes and compares several major service discovery approaches. It provides an overview of service discovery objectives and techniques, then surveys prominent protocols including SLP, Jini, and UPnP. Each approach is analyzed based on features like service description, discovery architecture, announcement/query mechanisms, and how they handle service usage and dynamic network changes. The comparison aims to identify strengths and limitations to guide future research in improving service discovery.SIX DEGREES OF SEPARATION TO IMPROVE ROUTING IN OPPORTUNISTIC NETWORKS
SIX DEGREES OF SEPARATION TO IMPROVE ROUTING IN OPPORTUNISTIC NETWORKSijujournal
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Opportunistic Networks are able to exploit social behavior to create connectivity opportunities. This
paradigm uses pair-wise contacts for routing messages between nodes. In this context we investigated if the
six degrees of separation conjecture of small-world networks can be used as a basis to route messages in
Opportunistic Networks. We propose a simple approach for routing that outperforms some popular
protocols in simulations that are carried out with real world traces using ONE simulator. We conclude that
static graph models are not suitable for underlay routing approaches in highly dynamic networks like
Opportunistic Networks without taking account of temporal factors such as time, duration and frequency of
previous encounters.
International Journal of Ubiquitous Computing (IJU)
International Journal of Ubiquitous Computing (IJU)ijujournal
油
International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.PERVASIVE COMPUTING APPLIED TO THE CARE OF PATIENTS WITH DEMENTIA IN HOMECARE...
PERVASIVE COMPUTING APPLIED TO THE CARE OF PATIENTS WITH DEMENTIA IN HOMECARE...ijujournal
油
The aging population and the consequent increase in the incidence of dementias is causing many
challenges to health systems, mainly related to infrastructure, low services quality and high costs. One
solution is to provide the care at house of the patient, through of home care services. However, it is not a
trivial task, since a patient with dementia requires constant care and monitoring from a caregiver, who
suffers physical and emotional overload. In this context, this work presents an modelling for development of
pervasive systems aimed at helping the care of these patients in order to lessen the burden of the caregiver
while the patient continue to receive the necessary care.
A proposed Novel Approach for Sentiment Analysis and Opinion Mining
A proposed Novel Approach for Sentiment Analysis and Opinion Miningijujournal
油
as the people are being dependent on internet the requirement of user view analysis is increasing
exponentially. Customer posts their experience and opinion about the product policy and services. But,
because of the massive volume of reviews, customers cant read all reviews. In order to solve this problem,
a lot of research is being carried out in Opinion Mining. In order to solve this problem, a lot of research is
being carried out in Opinion Mining. Through the Opinion Mining, we can know about contents of whole
product reviews, Blogs are websites that allow one or more individuals to write about things they want to
share with other The valuable data contained in posts from a large number of users across geographic,
demographic and cultural boundaries provide a rich data source not only for commercial exploitation but
also for psychological & sociopolitical research. This paper tries to demonstrate the plausibility of the idea
through our clustering and classifying opinion mining experiment on analysis of blog posts on recent
product policy and services reviews. We are proposing a Nobel approach for analyzing the Review for the
customer opinionInternational Journal of Ubiquitous Computing (IJU)
International Journal of Ubiquitous Computing (IJU)ijujournal
油
International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.USABILITY ENGINEERING OF GAMES: A COMPARATIVE ANALYSIS OF MEASURING EXCITEMEN...
USABILITY ENGINEERING OF GAMES: A COMPARATIVE ANALYSIS OF MEASURING EXCITEMEN...ijujournal
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Usability engineering and usability testing are concepts that continue to evolve. Interesting research studies
and new ideas come up every now and then. This paper tests the hypothesis of using an EDA-based
physiological measurements as a usability testing tool by considering three measures; which are observers
opinions, self-reported data and EDA-based physiological sensor data. These data were analyzed
comparatively and statistically. It concludes by discussing the findings that has been obtained from those
subjective and objective measures, which partially supports the hypothesis.SECURED SMART SYSTEM DESING IN PERVASIVE COMPUTING ENVIRONMENT USING VCS
SECURED SMART SYSTEM DESING IN PERVASIVE COMPUTING ENVIRONMENT USING VCSijujournal
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Ubiquitous Computing uses mobile phones or tiny devices for application development with sensors
embedded in mobile phones. The information generated by these devices is a big task in collection and
storage. For further, the data transmission to the intended destination is delay tolerant. In this paper, we
made an attempt to propose a new security algorithm for providing security to Pervasive Computing
Environment (PCE) system using Public-key Encryption (PKE) algorithm, Biometric Security (BS)
algorithm and Visual Cryptography Scheme (VCS) algorithm. In the proposed PCE monitoring system it
automates various home appliances using VCS and also provides security against intrusion using Zigbee
IEEE 802.15.4 based Sensor Network, GSM and Wi-Fi networks are embedded through a standard Home
gateway.
PERFORMANCE COMPARISON OF ROUTING PROTOCOLS IN MOBILE AD HOC NETWORKS
PERFORMANCE COMPARISON OF ROUTING PROTOCOLS IN MOBILE AD HOC NETWORKSijujournal
油
Routing protocols have an important role in any Mobile Ad Hoc Network (MANET). Researchers have
elaborated several routing protocols that possess different performance levels. In this paper we give a
performance evaluation of AODV, DSR, DSDV, OLSR and DYMO routing protocols in Mobile Ad Hoc
Networks (MANETS) to determine the best in different scenarios. We analyse these MANET routing
protocols by using NS-2 simulator. We specify how the Number of Nodes parameter influences their
performance. In this study, performance is calculated in terms of Packet Delivery Ratio, Average End to
End Delay, Normalised Routing Load and Average Throughput.
PERFORMANCE COMPARISON OF OCR TOOLS
PERFORMANCE COMPARISON OF OCR TOOLSijujournal
油
The document compares the performance of various optical character recognition (OCR) tools. It analyzes eight OCR tools - Online OCR, Free Online OCR, OCR Convert, Convert image to text.net, Free OCR, i2OCR, Free OCR to Word Convert, and Google Docs. The document provides sample outputs of each tool processing the same input image. It then evaluates the tools based on character accuracy, character error rate, special symbol accuracy, and special symbol error rate to determine which tools most accurately convert images to editable text.PERFORMANCE COMPARISON OF OCR TOOLS
PERFORMANCE COMPARISON OF OCR TOOLSijujournal
油
Optical Character Recognition (OCR) is a technique, used to convert scanned image into editable text
format. Many different types of Optical Character Recognition (OCR) tools are commercially available
today; it is a useful and popular method for different types of applications. OCR can predict the accurate
result depends on text pre-processing and segmentation algorithms. Image quality is one of the most
important factors that improve quality of recognition in performing OCR tools. Images can be processed
independently (.png, .jpg, and .gif files) or in multi-page PDF documents (.pdf). The primary objective of
this work is to provide the overview of various Optical Character Recognition (OCR) tools and analyses of
their performance by applying the two factors of OCR tool performance i.e. accuracy and error rate.DETERMINING THE NETWORK THROUGHPUT AND FLOW RATE USING GSR AND AAL2R
DETERMINING THE NETWORK THROUGHPUT AND FLOW RATE USING GSR AND AAL2Rijujournal
油
In multi-radio wireless mesh networks, one node is eligible to transmit packets over multiple channels to
different destination nodes simultaneously. This feature of multi-radio wireless mesh network makes high
throughput for the network and increase the chance for multi path routing. This is because the multiple
channel availability for transmission decreases the probability of the most elegant problem called as
interference problem which is either of interflow and intraflow type. For avoiding the problem like
interference and maintaining the constant network performance or increasing the performance the WMN
need to consider the packet aggregation and packet forwarding. Packet aggregation is process of collecting
several packets ready for transmission and sending them to the intended recipient through the channel,
while the packet forwarding holds the hop-by-hop routing. But choosing the correct path among different
available multiple paths is most the important factor in the both case for a routing algorithm. Hence the
most challenging factor is to determine a forwarding strategy which will provide the schedule for each
node for transmission within the channel. In this research work we have tried to implement two forwarding
strategies for the multi path multi radio WMN as the approximate solution for the above said problem. We
have implemented Global State Routing (GSR) which will consider the packet forwarding concept and
Aggregation Aware Layer 2 Routing (AAL2R) which considers the both concept i.e. both packet forwarding
and packet aggregation. After the successful implementation the network performance has been measured
by means of simulation study.
A SURVEY: TO HARNESS AN EFFICIENT ENERGY IN CLOUD COMPUTING
A SURVEY: TO HARNESS AN EFFICIENT ENERGY IN CLOUD COMPUTINGijujournal
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Cloud computing affords huge potential for dynamism, flexibility and cost-effective IT operations. Cloud
computing requires many tasks to be executed by the provided resources to achieve good performance,
shortest response time and high utilization of resources. To achieve these challenges there is a need to
develop a new energy aware scheduling algorithm that outperform appropriate allocation map of task to
optimize energy consumption. This study accomplished with all the existing techniques mainly focus on
reducing energy consumptionA METHOD OF DESIGNING STUDENT MODEL IN UBIQUITOUS ENVIRONMENT
A METHOD OF DESIGNING STUDENT MODEL IN UBIQUITOUS ENVIRONMENTijujournal
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Context-aware ubiquitous learning combines context-awareness with wireless and mobile technologies to
observe the situation of students in the real world and provides personalized guidance accordingly.
Student Model creates student's history logs automatically and maintains history of subject content
requested. It also offers information on student's hardware capabilities, students preferences, knowledge
level and student status. This information can be utilized to respond to new student's request from previous
similar request. A Ubiquitous student model aims to identify students needs, characteristics and situations.
In this paper, we have proposed a method of designing student model, that provides personalized subject
content adaptation. 2 nd International Conference on Artificial Intelligence Advances (AIAD 2023)
2 nd International Conference on Artificial Intelligence Advances (AIAD 2023)ijujournal
油
The 2nd International Conference on Artificial Intelligence Advances (AIAD 2023) will be held virtually on July 15-16, 2023. The conference aims to bring together researchers and industry professionals to present innovative ideas and advancements in artificial intelligence. It will cover core areas of AI and its applications. Authors are invited to submit papers by July 1, 2023 on topics including AI in healthcare, cybersecurity, education, and more. Selected papers will be published in related journals.Call For Papers - International Journal of Ubiquitous Computing (IJU) 
Call For Papers - International Journal of Ubiquitous Computing (IJU) ijujournal
油
International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.CHECKPOINTING WITH MINIMAL RECOVERY IN ADHOCNET BASED TMR
CHECKPOINTING WITH MINIMAL RECOVERY IN ADHOCNET BASED TMRijujournal
油
This paper describes two-fold approach towards utilizing Triple Modular Redundancy (TMR) in Wireless
Adhoc Network (AdocNet). A distributed checkpointing and recovery protocol is proposed. The protocol
eliminates useless checkpoints and helps in selecting only dependent processes in the concerned
checkpointing interval, to recover. A process starts recovery from its last checkpoint only if it finds that it is
dependent (directly or indirectly) on the faulty process. The recovery protocol also prevents the occurrence
of missing or orphan messages. In AdocNet, a set of three nodes (connected to each other) is considered to
form a TMR set, being designated as main, primary and secondary. A main node in one set may serve as
primary or secondary in another. Computation is not triplicated, but checkpoint by main is duplicated in its
primary so that primary can continue if main fails. Checkpoint by primary is then duplicated in secondary
if primary fails too.Gateway Based Multi-Hop Distributed Energy Efficient Clustering Protocol for ...
Gateway Based Multi-Hop Distributed Energy Efficient Clustering Protocol for ...ijujournal
油
Wireless sensor network consists of application oriented and cheap micro-devices called sensors nodes
having potential of connecting the physical world with virtual world by their sensing abilities. These sensor
nodes are having restrained battery sources. Efficient energy management is current area of research in
wireless sensor networks. Here we advice one such energy aware multi-hop protocol (G-DEEC) for two
level heterogeneous networks. In G-DEEC, the Base Station is placed out of sensing area and rechargeable
gateway nodes are placed inside field with other randomly deployed sensor nodes. Simulation shows the
proposed protocol G-DEEC is better than single-hop DEEC in terms of number of half dead nodes, alive
nodes and dead nodes; thereby showing improvement in network lifetime and stability.
Taykon-Kalite belgeleri
Taykon-Kalite belgeleriTAYKON
油
Kalite Politikam脹z
Taykon elik i巽in kalite, hayallerinizi bizlerle paylat脹脹n脹z an balar. Proje 巽iziminden detaylar脹n 巽旦z端m端ne, detaylar脹n 巽旦z端m端nden 端retime, 端retimden montaja, montajdan teslime hayallerinizin ger巽ekletiini g旦rd端端n端z ana kadar ge巽en t端m aamalar脹, 巽al脹anlar脹, t端m teknik donan脹m ve 巽evreyi i巽ine al脹r KAL聴TE.More Related Content
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The population of elderly folks is ballooning worldwide as people live longer. But getting older often
means declining health and trouble living solo. Smart home tech could keep an eye on old folks and get
help quickly when needed so they can stay independent. This paper looks at a system combining wireless
sensors, video watches, automation, resident monitoring, emergency detection, and remote access. Sensors
track health signs, activities, appliance use. Video analytics spot odd stuff like falls. Sensor fusion and
machine learning find normal patterns so wonks can see unhealthy changes and send alerts. Multi-channel
alerts reach caregivers and emergency folks. A LabVIEW can integrate devices and enables local and
remote oversight and can control and handle emergency responses. Benefits seem to be early illness clues,
quick help, less burden on caregivers, and optimized home settings. But will old folks use all this tech? Can
we prove it really helps folks live longer and better? More research on maximizing reliability and
evaluating real-world impacts is needed. But designed thoughtfully, smart homes could may profoundly
improve the aging experience.
HMR LOG ANALYZER: ANALYZE WEB APPLICATION LOGS OVER HADOOP MAPREDUCE
HMR LOG ANALYZER: ANALYZE WEB APPLICATION LOGS OVER HADOOP MAPREDUCEijujournal
油
In todays Internet world, log file analysis is becoming a necessary task for analyzing the customers
behavior in order to improve advertising and sales as well as for datasets like environment, medical,
banking system it is important to analyze the log data to get required knowledge from it. Web mining is the
process of discovering the knowledge from the web data. Log files are getting generated very fast at the
rate of 1-10 Mb/s per machine, a single data center can generate tens of terabytes of log data in a day.
These datasets are huge. In order to analyze such large datasets we need parallel processing system and
reliable data storage mechanism. Virtual database system is an effective solution for integrating the data
but it becomes inefficient for large datasets. The Hadoop framework provides reliable data storage by
Hadoop Distributed File System and MapReduce programming model which is a parallel processing
system for large datasets. Hadoop distributed file system breaks up input data and sends fractions of the
original data to several machines in hadoop cluster to hold blocks of data. This mechanism helps to
process log data in parallel using all the machines in the hadoop cluster and computes result efficiently.
The dominant approach provided by hadoop to Store first query later, loads the data to the Hadoop
Distributed File System and then executes queries written in Pig Latin. This approach reduces the response
time as well as the load on to the end system. This paper proposes a log analysis system using Hadoop
MapReduce which will provide accurate results in minimum response time.
SERVICE DISCOVERY A SURVEY AND COMPARISON
SERVICE DISCOVERY A SURVEY AND COMPARISONijujournal
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The document summarizes and compares several major service discovery approaches. It provides an overview of service discovery objectives and techniques, then surveys prominent protocols including SLP, Jini, and UPnP. Each approach is analyzed based on features like service description, discovery architecture, announcement/query mechanisms, and how they handle service usage and dynamic network changes. The comparison aims to identify strengths and limitations to guide future research in improving service discovery.SIX DEGREES OF SEPARATION TO IMPROVE ROUTING IN OPPORTUNISTIC NETWORKS
SIX DEGREES OF SEPARATION TO IMPROVE ROUTING IN OPPORTUNISTIC NETWORKSijujournal
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Opportunistic Networks are able to exploit social behavior to create connectivity opportunities. This
paradigm uses pair-wise contacts for routing messages between nodes. In this context we investigated if the
six degrees of separation conjecture of small-world networks can be used as a basis to route messages in
Opportunistic Networks. We propose a simple approach for routing that outperforms some popular
protocols in simulations that are carried out with real world traces using ONE simulator. We conclude that
static graph models are not suitable for underlay routing approaches in highly dynamic networks like
Opportunistic Networks without taking account of temporal factors such as time, duration and frequency of
previous encounters.
International Journal of Ubiquitous Computing (IJU)
International Journal of Ubiquitous Computing (IJU)ijujournal
油
International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.PERVASIVE COMPUTING APPLIED TO THE CARE OF PATIENTS WITH DEMENTIA IN HOMECARE...
PERVASIVE COMPUTING APPLIED TO THE CARE OF PATIENTS WITH DEMENTIA IN HOMECARE...ijujournal
油
The aging population and the consequent increase in the incidence of dementias is causing many
challenges to health systems, mainly related to infrastructure, low services quality and high costs. One
solution is to provide the care at house of the patient, through of home care services. However, it is not a
trivial task, since a patient with dementia requires constant care and monitoring from a caregiver, who
suffers physical and emotional overload. In this context, this work presents an modelling for development of
pervasive systems aimed at helping the care of these patients in order to lessen the burden of the caregiver
while the patient continue to receive the necessary care.
A proposed Novel Approach for Sentiment Analysis and Opinion Mining
A proposed Novel Approach for Sentiment Analysis and Opinion Miningijujournal
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as the people are being dependent on internet the requirement of user view analysis is increasing
exponentially. Customer posts their experience and opinion about the product policy and services. But,
because of the massive volume of reviews, customers cant read all reviews. In order to solve this problem,
a lot of research is being carried out in Opinion Mining. In order to solve this problem, a lot of research is
being carried out in Opinion Mining. Through the Opinion Mining, we can know about contents of whole
product reviews, Blogs are websites that allow one or more individuals to write about things they want to
share with other The valuable data contained in posts from a large number of users across geographic,
demographic and cultural boundaries provide a rich data source not only for commercial exploitation but
also for psychological & sociopolitical research. This paper tries to demonstrate the plausibility of the idea
through our clustering and classifying opinion mining experiment on analysis of blog posts on recent
product policy and services reviews. We are proposing a Nobel approach for analyzing the Review for the
customer opinionInternational Journal of Ubiquitous Computing (IJU)
International Journal of Ubiquitous Computing (IJU)ijujournal
油
International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.USABILITY ENGINEERING OF GAMES: A COMPARATIVE ANALYSIS OF MEASURING EXCITEMEN...
USABILITY ENGINEERING OF GAMES: A COMPARATIVE ANALYSIS OF MEASURING EXCITEMEN...ijujournal
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Usability engineering and usability testing are concepts that continue to evolve. Interesting research studies
and new ideas come up every now and then. This paper tests the hypothesis of using an EDA-based
physiological measurements as a usability testing tool by considering three measures; which are observers
opinions, self-reported data and EDA-based physiological sensor data. These data were analyzed
comparatively and statistically. It concludes by discussing the findings that has been obtained from those
subjective and objective measures, which partially supports the hypothesis.SECURED SMART SYSTEM DESING IN PERVASIVE COMPUTING ENVIRONMENT USING VCS
SECURED SMART SYSTEM DESING IN PERVASIVE COMPUTING ENVIRONMENT USING VCSijujournal
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Ubiquitous Computing uses mobile phones or tiny devices for application development with sensors
embedded in mobile phones. The information generated by these devices is a big task in collection and
storage. For further, the data transmission to the intended destination is delay tolerant. In this paper, we
made an attempt to propose a new security algorithm for providing security to Pervasive Computing
Environment (PCE) system using Public-key Encryption (PKE) algorithm, Biometric Security (BS)
algorithm and Visual Cryptography Scheme (VCS) algorithm. In the proposed PCE monitoring system it
automates various home appliances using VCS and also provides security against intrusion using Zigbee
IEEE 802.15.4 based Sensor Network, GSM and Wi-Fi networks are embedded through a standard Home
gateway.
PERFORMANCE COMPARISON OF ROUTING PROTOCOLS IN MOBILE AD HOC NETWORKS
PERFORMANCE COMPARISON OF ROUTING PROTOCOLS IN MOBILE AD HOC NETWORKSijujournal
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Routing protocols have an important role in any Mobile Ad Hoc Network (MANET). Researchers have
elaborated several routing protocols that possess different performance levels. In this paper we give a
performance evaluation of AODV, DSR, DSDV, OLSR and DYMO routing protocols in Mobile Ad Hoc
Networks (MANETS) to determine the best in different scenarios. We analyse these MANET routing
protocols by using NS-2 simulator. We specify how the Number of Nodes parameter influences their
performance. In this study, performance is calculated in terms of Packet Delivery Ratio, Average End to
End Delay, Normalised Routing Load and Average Throughput.
PERFORMANCE COMPARISON OF OCR TOOLS
PERFORMANCE COMPARISON OF OCR TOOLSijujournal
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The document compares the performance of various optical character recognition (OCR) tools. It analyzes eight OCR tools - Online OCR, Free Online OCR, OCR Convert, Convert image to text.net, Free OCR, i2OCR, Free OCR to Word Convert, and Google Docs. The document provides sample outputs of each tool processing the same input image. It then evaluates the tools based on character accuracy, character error rate, special symbol accuracy, and special symbol error rate to determine which tools most accurately convert images to editable text.PERFORMANCE COMPARISON OF OCR TOOLS
PERFORMANCE COMPARISON OF OCR TOOLSijujournal
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Optical Character Recognition (OCR) is a technique, used to convert scanned image into editable text
format. Many different types of Optical Character Recognition (OCR) tools are commercially available
today; it is a useful and popular method for different types of applications. OCR can predict the accurate
result depends on text pre-processing and segmentation algorithms. Image quality is one of the most
important factors that improve quality of recognition in performing OCR tools. Images can be processed
independently (.png, .jpg, and .gif files) or in multi-page PDF documents (.pdf). The primary objective of
this work is to provide the overview of various Optical Character Recognition (OCR) tools and analyses of
their performance by applying the two factors of OCR tool performance i.e. accuracy and error rate.DETERMINING THE NETWORK THROUGHPUT AND FLOW RATE USING GSR AND AAL2R
DETERMINING THE NETWORK THROUGHPUT AND FLOW RATE USING GSR AND AAL2Rijujournal
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In multi-radio wireless mesh networks, one node is eligible to transmit packets over multiple channels to
different destination nodes simultaneously. This feature of multi-radio wireless mesh network makes high
throughput for the network and increase the chance for multi path routing. This is because the multiple
channel availability for transmission decreases the probability of the most elegant problem called as
interference problem which is either of interflow and intraflow type. For avoiding the problem like
interference and maintaining the constant network performance or increasing the performance the WMN
need to consider the packet aggregation and packet forwarding. Packet aggregation is process of collecting
several packets ready for transmission and sending them to the intended recipient through the channel,
while the packet forwarding holds the hop-by-hop routing. But choosing the correct path among different
available multiple paths is most the important factor in the both case for a routing algorithm. Hence the
most challenging factor is to determine a forwarding strategy which will provide the schedule for each
node for transmission within the channel. In this research work we have tried to implement two forwarding
strategies for the multi path multi radio WMN as the approximate solution for the above said problem. We
have implemented Global State Routing (GSR) which will consider the packet forwarding concept and
Aggregation Aware Layer 2 Routing (AAL2R) which considers the both concept i.e. both packet forwarding
and packet aggregation. After the successful implementation the network performance has been measured
by means of simulation study.
A SURVEY: TO HARNESS AN EFFICIENT ENERGY IN CLOUD COMPUTING
A SURVEY: TO HARNESS AN EFFICIENT ENERGY IN CLOUD COMPUTINGijujournal
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Cloud computing affords huge potential for dynamism, flexibility and cost-effective IT operations. Cloud
computing requires many tasks to be executed by the provided resources to achieve good performance,
shortest response time and high utilization of resources. To achieve these challenges there is a need to
develop a new energy aware scheduling algorithm that outperform appropriate allocation map of task to
optimize energy consumption. This study accomplished with all the existing techniques mainly focus on
reducing energy consumptionA METHOD OF DESIGNING STUDENT MODEL IN UBIQUITOUS ENVIRONMENT
A METHOD OF DESIGNING STUDENT MODEL IN UBIQUITOUS ENVIRONMENTijujournal
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Context-aware ubiquitous learning combines context-awareness with wireless and mobile technologies to
observe the situation of students in the real world and provides personalized guidance accordingly.
Student Model creates student's history logs automatically and maintains history of subject content
requested. It also offers information on student's hardware capabilities, students preferences, knowledge
level and student status. This information can be utilized to respond to new student's request from previous
similar request. A Ubiquitous student model aims to identify students needs, characteristics and situations.
In this paper, we have proposed a method of designing student model, that provides personalized subject
content adaptation. 2 nd International Conference on Artificial Intelligence Advances (AIAD 2023)
2 nd International Conference on Artificial Intelligence Advances (AIAD 2023)ijujournal
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The 2nd International Conference on Artificial Intelligence Advances (AIAD 2023) will be held virtually on July 15-16, 2023. The conference aims to bring together researchers and industry professionals to present innovative ideas and advancements in artificial intelligence. It will cover core areas of AI and its applications. Authors are invited to submit papers by July 1, 2023 on topics including AI in healthcare, cybersecurity, education, and more. Selected papers will be published in related journals.Call For Papers - International Journal of Ubiquitous Computing (IJU)
Call For Papers - International Journal of Ubiquitous Computing (IJU) ijujournal
油
International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.CHECKPOINTING WITH MINIMAL RECOVERY IN ADHOCNET BASED TMR
CHECKPOINTING WITH MINIMAL RECOVERY IN ADHOCNET BASED TMRijujournal
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This paper describes two-fold approach towards utilizing Triple Modular Redundancy (TMR) in Wireless
Adhoc Network (AdocNet). A distributed checkpointing and recovery protocol is proposed. The protocol
eliminates useless checkpoints and helps in selecting only dependent processes in the concerned
checkpointing interval, to recover. A process starts recovery from its last checkpoint only if it finds that it is
dependent (directly or indirectly) on the faulty process. The recovery protocol also prevents the occurrence
of missing or orphan messages. In AdocNet, a set of three nodes (connected to each other) is considered to
form a TMR set, being designated as main, primary and secondary. A main node in one set may serve as
primary or secondary in another. Computation is not triplicated, but checkpoint by main is duplicated in its
primary so that primary can continue if main fails. Checkpoint by primary is then duplicated in secondary
if primary fails too.Gateway Based Multi-Hop Distributed Energy Efficient Clustering Protocol for ...
Gateway Based Multi-Hop Distributed Energy Efficient Clustering Protocol for ...ijujournal
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Wireless sensor network consists of application oriented and cheap micro-devices called sensors nodes
having potential of connecting the physical world with virtual world by their sensing abilities. These sensor
nodes are having restrained battery sources. Efficient energy management is current area of research in
wireless sensor networks. Here we advice one such energy aware multi-hop protocol (G-DEEC) for two
level heterogeneous networks. In G-DEEC, the Base Station is placed out of sensing area and rechargeable
gateway nodes are placed inside field with other randomly deployed sensor nodes. Simulation shows the
proposed protocol G-DEEC is better than single-hop DEEC in terms of number of half dead nodes, alive
nodes and dead nodes; thereby showing improvement in network lifetime and stability.
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The cost in USD/kwh for H2
Daniel Donatelli
Secure Supplies Group
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Introduction - Page 3
The Need for Hydrogen Fueling - Page 5
Pure H2 Fueling Technology - Page 7
Blend Gas Fueling: A Transition Strategy - Page 10
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The presentation on Cold Water Supply explored the fundamental principles of water distribution in buildings. It covered sources of cold water, including municipal supply, wells, and rainwater harvesting. Key components such as storage tanks, pipes, valves, and pumps were discussed for efficient water delivery. Various distribution systems, including direct and indirect supply methods, were analyzed for residential and commercial applications. The presentation emphasized water quality, pressure regulation, and contamination prevention. Common issues like pipe corrosion, leaks, and pressure drops were addressed along with maintenance strategies. Diagrams and case studies illustrated system layouts and best practices for optimal performance.Introduction to Safety, Health & Environment
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Household combustion devices, motor vehicles, industrial facilities and forest fires are common sources of air pollution. Pollutants of major public health concern include particulate matter, carbon monoxide, ozone, nitrogen dioxide and sulfur dioxide. Outdoor and indoor air pollution cause respiratory and other diseases and are important sources of morbidity and mortality.
WHO data show that almost all of the global population (99%) breathe air that exceeds WHO guideline limits and contains high levels of pollutants, with low- and middle-income countries suffering from the highest exposures.
Air quality is closely linked to the earths climate and ecosystems globally. Many of the drivers of air pollution (i.e. combustion of fossil fuels) are also sources of greenhouse gas emissions. Policies to reduce air pollution, therefore, offer a win-win strategy for both climate and health, lowering the burden of disease attributable to air pollution, as well as contributing to the near- and long-term mitigation of climate change.
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