Pub Date : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262401
S. Sandhiya, U. Palani
In recent days, Data stream mining is important for many of the real time and IOT based applications. Online feature selection is the one big topic of data stream mining which attracted researchers with intensive interest. This technique reduces the dimensionality of the streaming features by excluding inappropriate and redundant features. The researchers have proposed many online feature selection algorithm for streaming features like Grafting, Alpha-investing, OSFS, OGFS and SAOLA. Based on above studies the exiting algorithm has limitation over prediction accuracy and the large number of selected features. To overcome the limitations of above mentioned approaches, we propose an online feature selection algorithm for streaming features called Heuristic Online Streaming Feature Selection (HOSFS) which has advantages on choosing features from streaming features and omits the irrelevant and redundant features in real-time by using self-adaption sliding window protocol, and Heuristic function. The HOSFS algorithm assigns heuristic value to the features using the trained heuristic function and selects features with higher heuristic value where other features are considered as irrelevant features. This proposed technique results reduced number of strongly related features and obtains greater prediction accuracy with optimal features. HOSFS algorithm efficiency was tested with three different Health care datasets using MOA tools. Through the experimental outcomes, HOSFS has greater prediction accuracy and reduced number of selected features than alpha - investing, OSFS, and SAOLA.
{"title":"A Novel HOSFS Algorithm for Online Streaming Feature Selection","authors":"S. Sandhiya, U. Palani","doi":"10.1109/ICSCAN49426.2020.9262401","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262401","url":null,"abstract":"In recent days, Data stream mining is important for many of the real time and IOT based applications. Online feature selection is the one big topic of data stream mining which attracted researchers with intensive interest. This technique reduces the dimensionality of the streaming features by excluding inappropriate and redundant features. The researchers have proposed many online feature selection algorithm for streaming features like Grafting, Alpha-investing, OSFS, OGFS and SAOLA. Based on above studies the exiting algorithm has limitation over prediction accuracy and the large number of selected features. To overcome the limitations of above mentioned approaches, we propose an online feature selection algorithm for streaming features called Heuristic Online Streaming Feature Selection (HOSFS) which has advantages on choosing features from streaming features and omits the irrelevant and redundant features in real-time by using self-adaption sliding window protocol, and Heuristic function. The HOSFS algorithm assigns heuristic value to the features using the trained heuristic function and selects features with higher heuristic value where other features are considered as irrelevant features. This proposed technique results reduced number of strongly related features and obtains greater prediction accuracy with optimal features. HOSFS algorithm efficiency was tested with three different Health care datasets using MOA tools. Through the experimental outcomes, HOSFS has greater prediction accuracy and reduced number of selected features than alpha - investing, OSFS, and SAOLA.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"6 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74070358","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262313
Soumita Biswas, Anuran Mitra, Sovan Mistry, T. Chowdhury, Soumodip Sinha, Ani Biswas, Raja Karmakar
Inter-Basic Service Sets (BSSes) interference and interference inside a BSS are unavoidable since the quantity of non-overlapping channels for wireless networks is limited; and multiple BSSes form an Extended Service Set (ESS). Nowadays, due to the rapid growth in the use of wireless devices like smart phones, laptop etc., access points (APs) in public areas are overheaded with a huge number of Internet accesses requested by users. When many wireless devices are assembled together to get and offer services, allocation and sharing of wireless channels become a critical issue since all wireless devices want to access the channel simultaneously and transmit data. Therefore, collisions occur in acquiring the channel and consequently, unfairness in channel access increases, which leads to the degradation of throughput fairness in wireless networks. This paper addresses aforesaid issue to propose a mechanism, called FairIN, to provide fairness in throughput such that all wireless stations can get an equal access of the channel. In FairIN, we design two mechanisms to handle the fairness inside a BSS and among APs separately. The performance analysis of FairIN through simulation in an IEEE 802.11ac network shows that FairIN can improve throughput fairness in infrastructure-based wireless networks.
{"title":"FairIN: Throughput Fairness in Infrastructure-Based Wireless Access Networks","authors":"Soumita Biswas, Anuran Mitra, Sovan Mistry, T. Chowdhury, Soumodip Sinha, Ani Biswas, Raja Karmakar","doi":"10.1109/ICSCAN49426.2020.9262313","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262313","url":null,"abstract":"Inter-Basic Service Sets (BSSes) interference and interference inside a BSS are unavoidable since the quantity of non-overlapping channels for wireless networks is limited; and multiple BSSes form an Extended Service Set (ESS). Nowadays, due to the rapid growth in the use of wireless devices like smart phones, laptop etc., access points (APs) in public areas are overheaded with a huge number of Internet accesses requested by users. When many wireless devices are assembled together to get and offer services, allocation and sharing of wireless channels become a critical issue since all wireless devices want to access the channel simultaneously and transmit data. Therefore, collisions occur in acquiring the channel and consequently, unfairness in channel access increases, which leads to the degradation of throughput fairness in wireless networks. This paper addresses aforesaid issue to propose a mechanism, called FairIN, to provide fairness in throughput such that all wireless stations can get an equal access of the channel. In FairIN, we design two mechanisms to handle the fairness inside a BSS and among APs separately. The performance analysis of FairIN through simulation in an IEEE 802.11ac network shows that FairIN can improve throughput fairness in infrastructure-based wireless networks.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"31 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75066733","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262392
A. Bakiya, K. Kamalanand, S. Arunmozhi, V. Rajinikanth
Pathological variation in biological soft tissues are commonly interrelated with changes in their mechanical as well as electrical and properties, which helps to distinguish abnormalities. The interrelation between the dielectric and viscoelastic properties is not well established in the biological soft tissue analysis. In this work, an effort has been made to develop a mathematical model to interrelate the dielectric properties and viscoelastic properties of the soft tissues, in frequency domain. The proposed mathematical models have been derived using standard rheological model namely Zener model and dielectric model known as the Debye model. This work is highly useful for predicting the viscoelastic characteristics of the soft tissues using measurements of dielectric quantities as a function of frequency.
{"title":"Frequency Domain Modelling of Interrelation between Dielectric and Viscoelastic Properties of Soft Tissues","authors":"A. Bakiya, K. Kamalanand, S. Arunmozhi, V. Rajinikanth","doi":"10.1109/ICSCAN49426.2020.9262392","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262392","url":null,"abstract":"Pathological variation in biological soft tissues are commonly interrelated with changes in their mechanical as well as electrical and properties, which helps to distinguish abnormalities. The interrelation between the dielectric and viscoelastic properties is not well established in the biological soft tissue analysis. In this work, an effort has been made to develop a mathematical model to interrelate the dielectric properties and viscoelastic properties of the soft tissues, in frequency domain. The proposed mathematical models have been derived using standard rheological model namely Zener model and dielectric model known as the Debye model. This work is highly useful for predicting the viscoelastic characteristics of the soft tissues using measurements of dielectric quantities as a function of frequency.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"22 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83243858","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262435
M. Suresh, A. S, P. V, M. A.
This paper proposes the development of intelligent street lights that minimizes the wastage of power by applying the method of reliable smart mangement proposal that is essential for a wealthy lifestyle for upcoming generations living in modern platform. The propsoed model involves three main stages namely maintenence stage, automatic adaptive ON/OFF control stage and prediction of electricity consumption stage. In order to apply this technique, a Wi-Fi module, Light dependent sensor (LDR), accelerometer and ultrasonic sensors are employed. The accelerometer sensor is utilized for identifying the pole inclination and report the emergency condition to control room or user. Then, LDR sensor is employed to turn ON-OFF of street lights with respect to atmosphere intensity level. This switching could be performed using ESP8266 based on the LDR. Ultrasonic sensor helps to sense the presence of any vechicle or person in a specified range, then light glows with 100% brightness else, it is reduced and glow with only with the intensity of 60%. Besides, a predictive model based on imporved bayesian neural netwok (IBNN) model is applied. The need of IBNN model is to report the utilization of the power for a period of specific duration. The propsoed work eliminates the power wastage during night time if there is no vechicle or trespassers passing. Moreover, by applying these three sensors, an intelligent automatic light is developed using IoT frame work that is effective.
{"title":"An Intelligent Smart Street Light System with Predictive model","authors":"M. Suresh, A. S, P. V, M. A.","doi":"10.1109/ICSCAN49426.2020.9262435","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262435","url":null,"abstract":"This paper proposes the development of intelligent street lights that minimizes the wastage of power by applying the method of reliable smart mangement proposal that is essential for a wealthy lifestyle for upcoming generations living in modern platform. The propsoed model involves three main stages namely maintenence stage, automatic adaptive ON/OFF control stage and prediction of electricity consumption stage. In order to apply this technique, a Wi-Fi module, Light dependent sensor (LDR), accelerometer and ultrasonic sensors are employed. The accelerometer sensor is utilized for identifying the pole inclination and report the emergency condition to control room or user. Then, LDR sensor is employed to turn ON-OFF of street lights with respect to atmosphere intensity level. This switching could be performed using ESP8266 based on the LDR. Ultrasonic sensor helps to sense the presence of any vechicle or person in a specified range, then light glows with 100% brightness else, it is reduced and glow with only with the intensity of 60%. Besides, a predictive model based on imporved bayesian neural netwok (IBNN) model is applied. The need of IBNN model is to report the utilization of the power for a period of specific duration. The propsoed work eliminates the power wastage during night time if there is no vechicle or trespassers passing. Moreover, by applying these three sensors, an intelligent automatic light is developed using IoT frame work that is effective.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"53 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88877950","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262376
B.V.K. Namratha, S. U. Devi
Shoulder surfing is one of the major problem in today's world as any intruder can easily hack the data from our mobile phone and most of the people store all the confidential details in mobile phone by which they can easily access the data as the keypad consist only a numerical values i.e. from 0 to 9.This paper exhibits the prevention of shoulder surfing in E-Wallet to solve the problem of shoulder surfing in the E-Wallet a technique which consists of colours or graphical method in place of the numerical values which is proposed earlier. The graphical method uses the colours in place of the numbers in keypad with the help of neuro fuzzy algorithm. The neuro fuzzy algorithm is mainly proposed for interchanging the colours. Neuro fuzzy algorithm is executed in wamp server as it is used for web improvement and inner testing. Wamp server uses a php and SQL and also access less space for any type of computation. The proposed method of shoulder surfing has improved the efficiency and security for the E-Wallet as it may be difficult for the gate crasher to assume the code using graphical representation method.
{"title":"Prediction of Shoulder Surfing in E-Wallet","authors":"B.V.K. Namratha, S. U. Devi","doi":"10.1109/ICSCAN49426.2020.9262376","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262376","url":null,"abstract":"Shoulder surfing is one of the major problem in today's world as any intruder can easily hack the data from our mobile phone and most of the people store all the confidential details in mobile phone by which they can easily access the data as the keypad consist only a numerical values i.e. from 0 to 9.This paper exhibits the prevention of shoulder surfing in E-Wallet to solve the problem of shoulder surfing in the E-Wallet a technique which consists of colours or graphical method in place of the numerical values which is proposed earlier. The graphical method uses the colours in place of the numbers in keypad with the help of neuro fuzzy algorithm. The neuro fuzzy algorithm is mainly proposed for interchanging the colours. Neuro fuzzy algorithm is executed in wamp server as it is used for web improvement and inner testing. Wamp server uses a php and SQL and also access less space for any type of computation. The proposed method of shoulder surfing has improved the efficiency and security for the E-Wallet as it may be difficult for the gate crasher to assume the code using graphical representation method.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"110 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85795603","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262329
Parth Koltharkar, Eldhose K K, R. Sridharan
With globalization and an increase in population, education has a significant role in the economic well-being of a nation. Due to this reason, the quality of education offered by educational institutes has become significant. The quality of education is judged differently by different stakeholders. In the present study, students are considered as stakeholders who are experiencing the service of the education system. Socialization has led to the hype of students' expectations / requirements / interest in techno-managerial education. Through literature review, internet search and focus groups study, 8 dimensions (major interest) and 40 items (minor interest) are identified. Fuzzy TOPSIS approach is adopted to prioritize the items of each dimension by considering the vagueness in the responses received from the students of a higher education institution in South India. This prioritization will aid the institute to focus on top priority parameters in which they are lagging and also maintain the service level of moderate and low priority parameters.
{"title":"Application of fuzzy TOPSIS for the prioritization of students' requirements in higher education institutions: a case study : A multi-criteria decision making approach","authors":"Parth Koltharkar, Eldhose K K, R. Sridharan","doi":"10.1109/ICSCAN49426.2020.9262329","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262329","url":null,"abstract":"With globalization and an increase in population, education has a significant role in the economic well-being of a nation. Due to this reason, the quality of education offered by educational institutes has become significant. The quality of education is judged differently by different stakeholders. In the present study, students are considered as stakeholders who are experiencing the service of the education system. Socialization has led to the hype of students' expectations / requirements / interest in techno-managerial education. Through literature review, internet search and focus groups study, 8 dimensions (major interest) and 40 items (minor interest) are identified. Fuzzy TOPSIS approach is adopted to prioritize the items of each dimension by considering the vagueness in the responses received from the students of a higher education institution in South India. This prioritization will aid the institute to focus on top priority parameters in which they are lagging and also maintain the service level of moderate and low priority parameters.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"40 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85841192","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262404
Rohit Kumar, A. B. Bazil Raj
This In this work a new algorithm for the system in which space i.e. size is main concern is proposed. Using this algorithm we can achieve desired accuracy and preciseness in range calculation of a system, even when power is a big concern i.e. altimeter or other range equipment. For the verification of algorithm it is implemented in experimental setup with FPGA in altimeter range equipment. The range for the same has been also verified using virtual GUIs. The range verification using the designed algorithm has been verified for smaller to large scale variations and found appropriate for calibrated and measured range. The algorithm has been implemented using VHDL code in Modelsim/ISIM simulator. Results of proposed algorithm are compared with the existed architecture and reduction in chip area and delay has been observed.
{"title":"Customized Floating Point Algorithm for the Ranging System","authors":"Rohit Kumar, A. B. Bazil Raj","doi":"10.1109/ICSCAN49426.2020.9262404","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262404","url":null,"abstract":"This In this work a new algorithm for the system in which space i.e. size is main concern is proposed. Using this algorithm we can achieve desired accuracy and preciseness in range calculation of a system, even when power is a big concern i.e. altimeter or other range equipment. For the verification of algorithm it is implemented in experimental setup with FPGA in altimeter range equipment. The range for the same has been also verified using virtual GUIs. The range verification using the designed algorithm has been verified for smaller to large scale variations and found appropriate for calibrated and measured range. The algorithm has been implemented using VHDL code in Modelsim/ISIM simulator. Results of proposed algorithm are compared with the existed architecture and reduction in chip area and delay has been observed.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"423 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86847156","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262352
K. Muninathan, M. Venkataramanan, P. R. Daison Jacob, K. Gnanasekar, K. Gowtham
This paper analyses different stacking position and wood size to obtain the most effective parameters to obtain maximum yield from the chosen plant, which is Prosopis juliflora. It is available abundantly and has the ability to grow at an astounding rate. Proximate analysis is used to determine the composition of wood and charcoal obtained. Charcoal is extracted from wood by subjecting it to pyrolysis process at a temperature of 400°C for 4 hours. Conical, Vertical cylinder, Horizontal cylinder, Vertical square, Horizontal square and Cross stacking are six types of stacking arrangement and twigs, logs and roots are the three wood sizes which are chosen for the experiment. Two trials were conducted to find the efficient stacking position. Among the stacking arrangement Vertical cylinder stacking was chosen to be more efficient with a good yield of 24.1% and less unburnt wood of 0.3%. Four trials were conducted to identify the most efficient wood size. Among the wood sizes roots are found to be more efficient with the highest yield of 34%. This is due high moisture and low ash content of roots.
{"title":"Effect of Wood Size and Stacking on Pyrolysis Process using Prosopis Juliflora","authors":"K. Muninathan, M. Venkataramanan, P. R. Daison Jacob, K. Gnanasekar, K. Gowtham","doi":"10.1109/ICSCAN49426.2020.9262352","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262352","url":null,"abstract":"This paper analyses different stacking position and wood size to obtain the most effective parameters to obtain maximum yield from the chosen plant, which is Prosopis juliflora. It is available abundantly and has the ability to grow at an astounding rate. Proximate analysis is used to determine the composition of wood and charcoal obtained. Charcoal is extracted from wood by subjecting it to pyrolysis process at a temperature of 400°C for 4 hours. Conical, Vertical cylinder, Horizontal cylinder, Vertical square, Horizontal square and Cross stacking are six types of stacking arrangement and twigs, logs and roots are the three wood sizes which are chosen for the experiment. Two trials were conducted to find the efficient stacking position. Among the stacking arrangement Vertical cylinder stacking was chosen to be more efficient with a good yield of 24.1% and less unburnt wood of 0.3%. Four trials were conducted to identify the most efficient wood size. Among the wood sizes roots are found to be more efficient with the highest yield of 34%. This is due high moisture and low ash content of roots.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"76 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87290535","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262305
M. Giridhar, Lasin, V. V. Panicker
This research explores different ways of presenting material and information at workstations, using various assembly scenarios with fifteen subjects and six different types of pen. Use of intermixed parts, grouped parts, separated parts in different boxes, and part numbered box is the material presentation factors and information presentation factor involve text instructions and photographs. It can be inferred from the results that the number of parts assembled is higher when using part numbered box with instructions and with the least errors. However, using intermixed parts with instructions resulted in a decreased number of pens assembled. The assembly time provided for each subject was ten minutes. It is found that the workload and the stress factor in identifying the parts, distinguishing and assembling during the intermixed and grouped parts with instructions got reduced in the further scenarios. Work station design and planning can be done based on the cognitive skills of subjects, and according to their skills the various material and information presentation factors can be prepared. This results in effective utilization of manpower which leads to improved productivity and effectiveness.
{"title":"Experimental analysis of cognitive issues impacting manual assembly task","authors":"M. Giridhar, Lasin, V. V. Panicker","doi":"10.1109/ICSCAN49426.2020.9262305","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262305","url":null,"abstract":"This research explores different ways of presenting material and information at workstations, using various assembly scenarios with fifteen subjects and six different types of pen. Use of intermixed parts, grouped parts, separated parts in different boxes, and part numbered box is the material presentation factors and information presentation factor involve text instructions and photographs. It can be inferred from the results that the number of parts assembled is higher when using part numbered box with instructions and with the least errors. However, using intermixed parts with instructions resulted in a decreased number of pens assembled. The assembly time provided for each subject was ten minutes. It is found that the workload and the stress factor in identifying the parts, distinguishing and assembling during the intermixed and grouped parts with instructions got reduced in the further scenarios. Work station design and planning can be done based on the cognitive skills of subjects, and according to their skills the various material and information presentation factors can be prepared. This results in effective utilization of manpower which leads to improved productivity and effectiveness.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"39 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85364127","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262390
S. Ayyappan, S. Matilda
Face recognition is a biometric based technology that maps an individual's facial features mathematically and stores the data as a face print. It employs Machine Learning on the image and generates a feature vector which maps an object with array of numbers. This technology is used by organizations such as Google and Facebook to create a digital profile for its users. This project proposes to use this technology for identifying criminals who are on the run from their previous records. An NCRB (National Crime Records Bureau) report shows that 70% of crimes are repeatedly committed by the same criminals. These criminals can be identified by the face recognition from an image or video frame which is captured by the cameras which are installed in various locations and it can also be used for identifying missing children. The disadvantage posed is that the images are usually blurred, have less clarity and not recognizable to the human eye. The proposed system can successfully recognize more than one face which is useful for quickly searching suspected persons as the computation time is very low. It creates a unique template for each face and compare them with other images available in dataset. If the match is found for the input face, then the details associated with the related image will be displayed. This system will decrease the crimes and ensure the security in our society.
{"title":"Criminals And Missing Children Identification Using Face Recognition And Web Scrapping","authors":"S. Ayyappan, S. Matilda","doi":"10.1109/ICSCAN49426.2020.9262390","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262390","url":null,"abstract":"Face recognition is a biometric based technology that maps an individual's facial features mathematically and stores the data as a face print. It employs Machine Learning on the image and generates a feature vector which maps an object with array of numbers. This technology is used by organizations such as Google and Facebook to create a digital profile for its users. This project proposes to use this technology for identifying criminals who are on the run from their previous records. An NCRB (National Crime Records Bureau) report shows that 70% of crimes are repeatedly committed by the same criminals. These criminals can be identified by the face recognition from an image or video frame which is captured by the cameras which are installed in various locations and it can also be used for identifying missing children. The disadvantage posed is that the images are usually blurred, have less clarity and not recognizable to the human eye. The proposed system can successfully recognize more than one face which is useful for quickly searching suspected persons as the computation time is very low. It creates a unique template for each face and compare them with other images available in dataset. If the match is found for the input face, then the details associated with the related image will be displayed. This system will decrease the crimes and ensure the security in our society.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"43 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84216784","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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