Pub Date : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073538
Tanashri Karle, D. Vora
In todays world each individual wish that his private information is not revealed in some or the other way. Privacy preservation plays a vital role in preventing individual private data preserved from the praying eyes. Anonymization techniques enable publication of information which permit analysis and guarantee privacy of sensitive information in data against variety of attacks. It sanitizes the information. It can also keep the person anonymous using encryption technique. There are various anonymization techniques and algorithms available which are discussed in this paper. Paper focuses on Generalization and Suppression techniques and describes Datafly and Mondrian algorithm and also discusses their comparison.
{"title":"PRIVACY preservation in big data using anonymization techniques","authors":"Tanashri Karle, D. Vora","doi":"10.1109/ICDMAI.2017.8073538","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073538","url":null,"abstract":"In todays world each individual wish that his private information is not revealed in some or the other way. Privacy preservation plays a vital role in preventing individual private data preserved from the praying eyes. Anonymization techniques enable publication of information which permit analysis and guarantee privacy of sensitive information in data against variety of attacks. It sanitizes the information. It can also keep the person anonymous using encryption technique. There are various anonymization techniques and algorithms available which are discussed in this paper. Paper focuses on Generalization and Suppression techniques and describes Datafly and Mondrian algorithm and also discusses their comparison.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121772299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073533
Prashanth Krishnamurthy, P. Balasubramanian, Deepti Mohan
The Indian stock market is affected by many factors such as monetary policy, oil prices etc. This paper studies the relationship between Exchange rate return of Rupee-Dollar and various Stock Indices returns of India namely Nifty IT, Nifty Pharma, Nifty MNC, Nifty Commodity Index, Nifty Energy Index and Nifty Metal Index, for the time period December 2011-December 2016. The study also takes into account the volatility of returns of these indices and that of exchange rate returns to study the relationship between these two variables using Granger Causality Test. It was observed that Commodity Index return, IT index return, MNC Index return, Energy Index return, Sigma Commodity Index return and Sigma IT index return granger cause the Exchange rate return.
{"title":"Study on relationship between exchange rate return and various stock indices returns","authors":"Prashanth Krishnamurthy, P. Balasubramanian, Deepti Mohan","doi":"10.1109/ICDMAI.2017.8073533","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073533","url":null,"abstract":"The Indian stock market is affected by many factors such as monetary policy, oil prices etc. This paper studies the relationship between Exchange rate return of Rupee-Dollar and various Stock Indices returns of India namely Nifty IT, Nifty Pharma, Nifty MNC, Nifty Commodity Index, Nifty Energy Index and Nifty Metal Index, for the time period December 2011-December 2016. The study also takes into account the volatility of returns of these indices and that of exchange rate returns to study the relationship between these two variables using Granger Causality Test. It was observed that Commodity Index return, IT index return, MNC Index return, Energy Index return, Sigma Commodity Index return and Sigma IT index return granger cause the Exchange rate return.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133214857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073496
Sagar S. Patil, A. Thorat
Fault current limiters (FCLs) have been instrumental on industrial level, with their enhanced power quality with respect to voltage sag mitigation, reduced upgrading of switchgears and prevention of protection system equipment from severe damages. Due to the industrial growth in power system network, there is an essential need for FCL. Recent work on FCL has picked up a quicker pace in the area of fault diagnosis of power system. Traditional methods such as fuse, Circuit Breakers (CBs) and Transformers etc. are used for limiting the fault current in the power network. But then again fuse is a single use device and takes manual replacement, also CBs have limitations of higher ratings. Transformer inrush current is another problem. This paper presents a detailed review of various fault current limiter configurations, control strategies, recent trends and their implementation for particular applications.
{"title":"Development of fault current limiters: A review","authors":"Sagar S. Patil, A. Thorat","doi":"10.1109/ICDMAI.2017.8073496","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073496","url":null,"abstract":"Fault current limiters (FCLs) have been instrumental on industrial level, with their enhanced power quality with respect to voltage sag mitigation, reduced upgrading of switchgears and prevention of protection system equipment from severe damages. Due to the industrial growth in power system network, there is an essential need for FCL. Recent work on FCL has picked up a quicker pace in the area of fault diagnosis of power system. Traditional methods such as fuse, Circuit Breakers (CBs) and Transformers etc. are used for limiting the fault current in the power network. But then again fuse is a single use device and takes manual replacement, also CBs have limitations of higher ratings. Transformer inrush current is another problem. This paper presents a detailed review of various fault current limiter configurations, control strategies, recent trends and their implementation for particular applications.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130668100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073534
K. Dhamodharan, P. Balasubramanian, Deepti Mohan
This paper analyses the influence of Yamaganda period in investor's decision to trade, based on the relationship between Yamaganda timing and Stock trading volume using minuteby minute data(combined fromtick data) of Nifty 200 companies traded at India's National Stock Exchange (NSE) for the period of one year from July 1, 2014 to June 30, 2015 (This period consists of 245 Trading days) and is done using Big data tool Spark. Yamaganda is an Indian cultural variable; it is a time period defined in the astrology which is considered inauspicious. The study is done on Yamaganda period, Non-Yamaganda period, Pre-Yamaganda period (half an hour before Yamaganda Period) & Post-Yamaganda Period (half an hour after Yamaganda period). The analysis shows that this cultural variable has very less impact on the Trading decisions of investors. A separate test done only on Tuesday (in order to eliminate day of the week effect and further the absence of Yamaganda period in the trading hours of Wednesday and Thursday) also shows that this cultural variable has very less impact on the Trading decisions of the investors.
{"title":"Influence of yamaganda on stock trading behaviour among Nifty200 stocks: Using minute-wise data","authors":"K. Dhamodharan, P. Balasubramanian, Deepti Mohan","doi":"10.1109/ICDMAI.2017.8073534","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073534","url":null,"abstract":"This paper analyses the influence of Yamaganda period in investor's decision to trade, based on the relationship between Yamaganda timing and Stock trading volume using minuteby minute data(combined fromtick data) of Nifty 200 companies traded at India's National Stock Exchange (NSE) for the period of one year from July 1, 2014 to June 30, 2015 (This period consists of 245 Trading days) and is done using Big data tool Spark. Yamaganda is an Indian cultural variable; it is a time period defined in the astrology which is considered inauspicious. The study is done on Yamaganda period, Non-Yamaganda period, Pre-Yamaganda period (half an hour before Yamaganda Period) & Post-Yamaganda Period (half an hour after Yamaganda period). The analysis shows that this cultural variable has very less impact on the Trading decisions of investors. A separate test done only on Tuesday (in order to eliminate day of the week effect and further the absence of Yamaganda period in the trading hours of Wednesday and Thursday) also shows that this cultural variable has very less impact on the Trading decisions of the investors.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123817896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073509
R. Deshmukh, B. N. Jagdale
Nowadays, Smartphone's are being more and more popular as technology is being evolve. Smartphone's are capable for providing numerous services, such as Location Aware services like GPS. They share all the location information of the user to the server. Whenever user submit any query to location aware service, those queries also carries some personal information about user. The query and information is then submitted of LBS server. Someone at server's side may use this information to make user panic. To overcome this, new collaborative approach to hide users personnal data from LBS serve is introduced. An Adversary at LBS may misuse this location information and may plan an attack. Hence Users privacy is a issues to be resolved. We address this difficult by offering a system where user will not be exposed to the LBS, that is users identity and location would be hidden from the server. By using Third Party server we will hide User from Service provider. The solution does involve not alter the LBS server architecture but assume third party servers to significantly increase users' location privacy. To enhance privacy of user, we will add registration and verification system to the model, so that only authenticated users would ask for query response. By this Registration system we will be generating ID's, through that ID's interaction between user and LBS would happen, by which LBS would never know use's original identity and from which user location queries are fired. This prototype helps to examine the effects of several constraints, such as querying rates of user and the lifespan of context information, on users' location privacy.
{"title":"Design and development of privacy preserving architecture for mobile users","authors":"R. Deshmukh, B. N. Jagdale","doi":"10.1109/ICDMAI.2017.8073509","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073509","url":null,"abstract":"Nowadays, Smartphone's are being more and more popular as technology is being evolve. Smartphone's are capable for providing numerous services, such as Location Aware services like GPS. They share all the location information of the user to the server. Whenever user submit any query to location aware service, those queries also carries some personal information about user. The query and information is then submitted of LBS server. Someone at server's side may use this information to make user panic. To overcome this, new collaborative approach to hide users personnal data from LBS serve is introduced. An Adversary at LBS may misuse this location information and may plan an attack. Hence Users privacy is a issues to be resolved. We address this difficult by offering a system where user will not be exposed to the LBS, that is users identity and location would be hidden from the server. By using Third Party server we will hide User from Service provider. The solution does involve not alter the LBS server architecture but assume third party servers to significantly increase users' location privacy. To enhance privacy of user, we will add registration and verification system to the model, so that only authenticated users would ask for query response. By this Registration system we will be generating ID's, through that ID's interaction between user and LBS would happen, by which LBS would never know use's original identity and from which user location queries are fired. This prototype helps to examine the effects of several constraints, such as querying rates of user and the lifespan of context information, on users' location privacy.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114821543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073495
V. V. Shinde, M. L. Kulkarni
Cylindrical Magneto Rheological Brakes are designed in such a way that it will maximize the field induced braking torque and minimize the weight. Therefore different parameters affecting the torque are studied. These parameters are 1. The effect of structural properties of brake material 2. Magneto Rheological fluid properties 3. Different types of Magneto Rheological Fluids 4. Effect of Particle size 5. Effective working surface 6. Magneto Rheological Fluid composition 7. Temperature 8. Magnetic properties of Brake Material 9. Magnetic field srength. he effect of Nano sized particles in Magneto Rheological Fluid on braking torque and their effect on braking efficiency are investigated in this paper.
{"title":"Design of silicon based magneto rheological nano-fluid","authors":"V. V. Shinde, M. L. Kulkarni","doi":"10.1109/ICDMAI.2017.8073495","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073495","url":null,"abstract":"Cylindrical Magneto Rheological Brakes are designed in such a way that it will maximize the field induced braking torque and minimize the weight. Therefore different parameters affecting the torque are studied. These parameters are 1. The effect of structural properties of brake material 2. Magneto Rheological fluid properties 3. Different types of Magneto Rheological Fluids 4. Effect of Particle size 5. Effective working surface 6. Magneto Rheological Fluid composition 7. Temperature 8. Magnetic properties of Brake Material 9. Magnetic field srength. he effect of Nano sized particles in Magneto Rheological Fluid on braking torque and their effect on braking efficiency are investigated in this paper.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130734597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073485
Biraja Prasad Nayak, Animesh Shaw
This article proposes the hysteresis control algorithm for the improvement of power quality by series active power filter (APF). Here, the Simulink model of series active power filter and its control technique by hysteresis PWM controller has been carried out in MATLAB SIMULINK. The voltage sag analysis and total harmonic distortion (THD) analysis are also carried out by using FFT analysis. Simulation result shows that the proposed configuration for series APF has the expected performance.
{"title":"Reduction of harmonics and voltage sag compensation by series active power filter","authors":"Biraja Prasad Nayak, Animesh Shaw","doi":"10.1109/ICDMAI.2017.8073485","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073485","url":null,"abstract":"This article proposes the hysteresis control algorithm for the improvement of power quality by series active power filter (APF). Here, the Simulink model of series active power filter and its control technique by hysteresis PWM controller has been carried out in MATLAB SIMULINK. The voltage sag analysis and total harmonic distortion (THD) analysis are also carried out by using FFT analysis. Simulation result shows that the proposed configuration for series APF has the expected performance.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116420301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073508
Amol K. Koshti, M. Rao
This paper discusses the brief review of different multilevel inverter topologies and the introduction of control strategies used for MLI'S. In today's scenario multilevel inverter becoming popular in the industry for high voltage and medium voltage application also in the renewable energy fields. The input voltage can be obtained from dc battery, energy storage capacitors or any kind of renewable energy sources. The various topologies are, Diode clamped multilevel inverter, Flying capacitor multilevel inverter, Cascaded H-bridge converter and they can be used in AC motor drives, Uninterruptible power supply (UPS), Harmonic current compensation, static compensators. It requires a complex driving circuit to fire the switches in the circuit is the main disadvantage of the multilevel inverter.
{"title":"A brief review on multilevel inverter topologies","authors":"Amol K. Koshti, M. Rao","doi":"10.1109/ICDMAI.2017.8073508","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073508","url":null,"abstract":"This paper discusses the brief review of different multilevel inverter topologies and the introduction of control strategies used for MLI'S. In today's scenario multilevel inverter becoming popular in the industry for high voltage and medium voltage application also in the renewable energy fields. The input voltage can be obtained from dc battery, energy storage capacitors or any kind of renewable energy sources. The various topologies are, Diode clamped multilevel inverter, Flying capacitor multilevel inverter, Cascaded H-bridge converter and they can be used in AC motor drives, Uninterruptible power supply (UPS), Harmonic current compensation, static compensators. It requires a complex driving circuit to fire the switches in the circuit is the main disadvantage of the multilevel inverter.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115969839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073517
Tejaswini U. Mane
The term Big Data is becoming global today. The Big data is huge amount of variety of data, and the data is increasing very rapidly according to the time. So there is need to process that data and instead of just storing that data need to extract some meaningful information or knowledge from that data applying some clustering and classification techniques of data mining. There are various era available in the Big Data so that decided the medical field first. And after that there are various diseases available to work on them or gain some knowledge or predict for help we decided the Heart disease. Heart disease is one of the disease due to that death will occurred mostly, and according to the world health organization the percentage is more for that. So Heart disease is decided for the big Data approach, and as Big Data is considered so used Hadoop Map reduce platform. For clustering Improved K-Means and for the classification purpose decision tree algorithm i.e. ID3 is used in the hybrid approach. As we know the taking second opinion is too increased, the system is very useful for the helping in prediction, basis on the some parameters like chest pain, cholesterol, age, resting Bp, Thalac and many more. Due to this system clinical decision making will be improved as well as being fast. It's also will impact on the improving the treatment process. In such way it will be very useful in the prediction of the heart disease.
{"title":"Smart heart disease prediction system using Improved K-means and ID3 on big data","authors":"Tejaswini U. Mane","doi":"10.1109/ICDMAI.2017.8073517","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073517","url":null,"abstract":"The term Big Data is becoming global today. The Big data is huge amount of variety of data, and the data is increasing very rapidly according to the time. So there is need to process that data and instead of just storing that data need to extract some meaningful information or knowledge from that data applying some clustering and classification techniques of data mining. There are various era available in the Big Data so that decided the medical field first. And after that there are various diseases available to work on them or gain some knowledge or predict for help we decided the Heart disease. Heart disease is one of the disease due to that death will occurred mostly, and according to the world health organization the percentage is more for that. So Heart disease is decided for the big Data approach, and as Big Data is considered so used Hadoop Map reduce platform. For clustering Improved K-Means and for the classification purpose decision tree algorithm i.e. ID3 is used in the hybrid approach. As we know the taking second opinion is too increased, the system is very useful for the helping in prediction, basis on the some parameters like chest pain, cholesterol, age, resting Bp, Thalac and many more. Due to this system clinical decision making will be improved as well as being fast. It's also will impact on the improving the treatment process. In such way it will be very useful in the prediction of the heart disease.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121173219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ICDMAI.2017.8073522
Tong Liu, Jasper Mbachu, A. Mathrani
The construction sector is a key driver of economic growth in New Zealand; however its productivity is low. Prior research has suggested that ICT (information and communication technologies) can help enhance efficiency and productivity. Currently there are a large number of smartphone apps developed for the construction industry. In this study we have conducted a preliminary investigation on the use of construction related apps and to obtain a general view on uptake of smartphone apps in the small and medium enterprise construction sector within New Zealand. Empirical data has been obtained through interviews conducted with 14 members of the New Zealand's registered master builders. Data analysis reveals that majority construction workers use smartphones (iPhone and Android) and generally have a positive attitude towards adoption of smartphone apps. However, more needs to be done to improve the visibility of apps to construction personnel. Suggestions to help the uptake of mobile apps in the New Zealand construction industry comprise conducting trainings, workshops, promotions, changing from top-down approach and providing some scenarios or examples to indicate that productivity can be improved with apps. This study provides a snapshot view of the pervasiveness of smartphone apps in the construction sector and leads to insights for conducting further research on a larger scale regarding use of construction apps.
{"title":"A preliminary investigation on use of construction apps in New Zealand","authors":"Tong Liu, Jasper Mbachu, A. Mathrani","doi":"10.1109/ICDMAI.2017.8073522","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073522","url":null,"abstract":"The construction sector is a key driver of economic growth in New Zealand; however its productivity is low. Prior research has suggested that ICT (information and communication technologies) can help enhance efficiency and productivity. Currently there are a large number of smartphone apps developed for the construction industry. In this study we have conducted a preliminary investigation on the use of construction related apps and to obtain a general view on uptake of smartphone apps in the small and medium enterprise construction sector within New Zealand. Empirical data has been obtained through interviews conducted with 14 members of the New Zealand's registered master builders. Data analysis reveals that majority construction workers use smartphones (iPhone and Android) and generally have a positive attitude towards adoption of smartphone apps. However, more needs to be done to improve the visibility of apps to construction personnel. Suggestions to help the uptake of mobile apps in the New Zealand construction industry comprise conducting trainings, workshops, promotions, changing from top-down approach and providing some scenarios or examples to indicate that productivity can be improved with apps. This study provides a snapshot view of the pervasiveness of smartphone apps in the construction sector and leads to insights for conducting further research on a larger scale regarding use of construction apps.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126966189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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