In this paper, some shape based features like area, perimeter, roundness, standard deviation etc. are used to recognize different types of white blood cells like monocyte, lymphocytes, eosinophil, basophil, neutrophils etc. Using image processing techniques, result can be obtained within 34 minute. To perform shape base features operation, contrast of RGB image has to be increased for better detection of white cells. After recognition of each and every cell, classification is performed to detect either it is CML (Chronic Myelogenous Leukemia) or CLL (chronic Lymphocytic leukemia). This algorithm is performed on 30 images. Out of 30, it is successful on 28 images. So it gives accuracy of 93.33%.
{"title":"A Novel Approach to Detect Chronic Leukemia using Shape based Feature Extraction and Identification with Digital Image Processing","authors":"H. Vaghela, H. Modi, Manoj Pandya, M. Potdar","doi":"10.5120/IJAIS2016451607","DOIUrl":"https://doi.org/10.5120/IJAIS2016451607","url":null,"abstract":"In this paper, some shape based features like area, perimeter, roundness, standard deviation etc. are used to recognize different types of white blood cells like monocyte, lymphocytes, eosinophil, basophil, neutrophils etc. Using image processing techniques, result can be obtained within 34 minute. To perform shape base features operation, contrast of RGB image has to be increased for better detection of white cells. After recognition of each and every cell, classification is performed to detect either it is CML (Chronic Myelogenous Leukemia) or CLL (chronic Lymphocytic leukemia). This algorithm is performed on 30 images. Out of 30, it is successful on 28 images. So it gives accuracy of 93.33%.","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"45 1","pages":"9-16"},"PeriodicalIF":0.0,"publicationDate":"2016-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78136996","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}
Different Industries use the acceptance charts to assess if the process could meet customer specified requirements because the acceptance charts are competent tool to answer the critical question that’s to see if the process average stays between acceptable levels so the final product meets the customer specification levels. Also process capability determines that if the manufacturer could meet customer's requirements or should improve its process by reducing the process variation and fitting it’s mean. What is discussed in this paper, is the use of the mentioned charts in 6-Sigma applications and how the capability analysis results help to know the status of production specifications. A case-study as an example is included to clarify the acceptance chart concepts. General Terms Behestan Tolid, Pharmaceutical Company, Statistical Process Control. Tablet manufacturing industry, Control Charts, Tablet manufacturing. Process validation
{"title":"Capability Analysis and use of Acceptance and Control Charts in the 6-Sigma in Pharmaceutical Industries Case Study: Behestan Tolid Pharmaceutical Co","authors":"T. Mehdi, B. Asl","doi":"10.5120/IJAIS2016451606","DOIUrl":"https://doi.org/10.5120/IJAIS2016451606","url":null,"abstract":"Different Industries use the acceptance charts to assess if the process could meet customer specified requirements because the acceptance charts are competent tool to answer the critical question that’s to see if the process average stays between acceptable levels so the final product meets the customer specification levels. Also process capability determines that if the manufacturer could meet customer's requirements or should improve its process by reducing the process variation and fitting it’s mean. What is discussed in this paper, is the use of the mentioned charts in 6-Sigma applications and how the capability analysis results help to know the status of production specifications. A case-study as an example is included to clarify the acceptance chart concepts. General Terms Behestan Tolid, Pharmaceutical Company, Statistical Process Control. Tablet manufacturing industry, Control Charts, Tablet manufacturing. Process validation","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"83 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2016-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83979766","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}
This study examines how the concept of gender mainstreaming could influence the adoption of e-government services in Kenya, which like many other developing countries, the Kenyan e-government initiatives has faced a number of challenges since its inception. The study utilizes and expands on Technology Acceptance Model to explore the adoption of e-government services in the Siaya County of Kenya. A simple random sampling technique was used to select a sample size from the population and a questionnaire was used to collect data from the participants. Analysis of the demographic data was done to test the research hypothesis using descriptive statistics of frequency counts and percentage. The major findings of the study revealed that men are potential adopters of e-government services. This is exhibited by a positive correlation that was found after a regression done on gender in relation to E-government adoption. The findings of this study are meant to provide a better understanding of mainstreaming gender in order to engender the adoption of e-government services. General Terms Gender Mainstreaming, E-government services adoption
{"title":"Gender mainstreaming in e-government services adoption - a case of e-citizen portal in Kenya","authors":"John O Sagimo","doi":"10.5120/IJAIS2016451608","DOIUrl":"https://doi.org/10.5120/IJAIS2016451608","url":null,"abstract":"This study examines how the concept of gender mainstreaming could influence the adoption of e-government services in Kenya, which like many other developing countries, the Kenyan e-government initiatives has faced a number of challenges since its inception. The study utilizes and expands on Technology Acceptance Model to explore the adoption of e-government services in the Siaya County of Kenya. A simple random sampling technique was used to select a sample size from the population and a questionnaire was used to collect data from the participants. Analysis of the demographic data was done to test the research hypothesis using descriptive statistics of frequency counts and percentage. The major findings of the study revealed that men are potential adopters of e-government services. This is exhibited by a positive correlation that was found after a regression done on gender in relation to E-government adoption. The findings of this study are meant to provide a better understanding of mainstreaming gender in order to engender the adoption of e-government services. General Terms Gender Mainstreaming, E-government services adoption","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"31 1","pages":"17-24"},"PeriodicalIF":0.0,"publicationDate":"2016-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82852803","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}
This paper proposes a new scheduling scheme which is based on Channel-and QoS-Aware for real-time traffics in LTE down-link direction. The real-time services (VoIP, Video, etc.) are very sensitive to network impairments such as delay, packet loss, jit-ter, etc. The proposed scheduling scheme considers Maximum Queue Size (MQS) as an essential factor for the priority metric and the combination of well-known M-LWDF-based algorithms such as M-LWDF, VT-MLWDF and Queue-HOL-MLWDF. The simulation results show that the proposed scheme has the performance which not only satisfies QoS requirements of real-time services but also outperforms the M-LWDF, VT-MLWDF and Queue-HOL-MLWDF schedulers in terms of Packet Loss Rate (PLR), cell throughput, Fairness Index (FI) and Spectral Efficiency (SE), especially for Video flow. The proposed sched-uler also significantly improves the delay in comparison with the VT-MLWDF and Queue-HOL-MLWDF schedulers ones for both VoIP and Video flows. The performance evaluation is compared in terms of Delay, PLR, Throughput, FI and SE for M-LWDF, VT-MLWDF, Queue-HOL-MLWDF and the proposed schedulers.
{"title":"A new Channel-and QoS-Aware Scheduling Scheme for Real-time Services in LTE Network","authors":"D. Nguyen, Hang Nguyen, É. Renault","doi":"10.5120/IJAIS2016451601","DOIUrl":"https://doi.org/10.5120/IJAIS2016451601","url":null,"abstract":"This paper proposes a new scheduling scheme which is based on Channel-and QoS-Aware for real-time traffics in LTE down-link direction. The real-time services (VoIP, Video, etc.) are very sensitive to network impairments such as delay, packet loss, jit-ter, etc. The proposed scheduling scheme considers Maximum Queue Size (MQS) as an essential factor for the priority metric and the combination of well-known M-LWDF-based algorithms such as M-LWDF, VT-MLWDF and Queue-HOL-MLWDF. The simulation results show that the proposed scheme has the performance which not only satisfies QoS requirements of real-time services but also outperforms the M-LWDF, VT-MLWDF and Queue-HOL-MLWDF schedulers in terms of Packet Loss Rate (PLR), cell throughput, Fairness Index (FI) and Spectral Efficiency (SE), especially for Video flow. The proposed sched-uler also significantly improves the delay in comparison with the VT-MLWDF and Queue-HOL-MLWDF schedulers ones for both VoIP and Video flows. The performance evaluation is compared in terms of Delay, PLR, Throughput, FI and SE for M-LWDF, VT-MLWDF, Queue-HOL-MLWDF and the proposed schedulers.","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"76 1","pages":"8"},"PeriodicalIF":0.0,"publicationDate":"2016-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80718985","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}
Satellite images have gained a wide popularity in the field of content-based image retrieval. A massive amount of these images are collected every year due to the high availability of satellites and computer technologies. However, extracting user-specific content from these images still remains a primary concern due to the presence of semantic gap. This limits the capabilities of CBIR. Therefore, an effective and efficient method is required for image retrieval. This paper puts forward a semantic-based image retrieval approach along with the advantages of hashing for better feature extraction and precise retrieval. Hashing accelerates the quality of similarity search among images by generating unique imagehash codes .This approach also aims to scale down the problems related to semantic gap for better retrieval results. General Terms Remote sensing, Satellites, Data sets, Content based image retrieval and Algorithms.
{"title":"An Efficient Approach towards Satellite Image Retrieval using Semantic Mining with Hashing","authors":"L. Mary, A. Kiran","doi":"10.5120/IJAIS2016451592","DOIUrl":"https://doi.org/10.5120/IJAIS2016451592","url":null,"abstract":"Satellite images have gained a wide popularity in the field of content-based image retrieval. A massive amount of these images are collected every year due to the high availability of satellites and computer technologies. However, extracting user-specific content from these images still remains a primary concern due to the presence of semantic gap. This limits the capabilities of CBIR. Therefore, an effective and efficient method is required for image retrieval. This paper puts forward a semantic-based image retrieval approach along with the advantages of hashing for better feature extraction and precise retrieval. Hashing accelerates the quality of similarity search among images by generating unique imagehash codes .This approach also aims to scale down the problems related to semantic gap for better retrieval results. General Terms Remote sensing, Satellites, Data sets, Content based image retrieval and Algorithms.","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"22 1","pages":"50-54"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86060455","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}
Computerized systems being an integral part of the current era, an automated parking system is one of its most commonly used applications. This automated parking management system is designed to give access, exclusively to vehicles registered in the database. It takes the image of the vehicle and locates the license plate and identifies its license number. It then checks with the database to determine its access. This report is a detailed description of the image processing techniques used for Automatic Number Plate Recognition. It deals with computer vision and the various techniques used in image processing. The entire setup is compact enough to improve its portability and efficiency, whilst providing better security. The algorithms, train the machine for better pattern recognition to locate number plates. This system requires the vehicle to be physically present, so that security is not hampered with and access is denied to any vehicle that is not registered. The results were recorded to observe the quality of recognition.
{"title":"Automated Parking Management System using Image Processing Techniques","authors":"P. Vaidehi, D. Ragavesh","doi":"10.5120/IJAIS2016451584","DOIUrl":"https://doi.org/10.5120/IJAIS2016451584","url":null,"abstract":"Computerized systems being an integral part of the current era, an automated parking system is one of its most commonly used applications. This automated parking management system is designed to give access, exclusively to vehicles registered in the database. It takes the image of the vehicle and locates the license plate and identifies its license number. It then checks with the database to determine its access. This report is a detailed description of the image processing techniques used for Automatic Number Plate Recognition. It deals with computer vision and the various techniques used in image processing. The entire setup is compact enough to improve its portability and efficiency, whilst providing better security. The algorithms, train the machine for better pattern recognition to locate number plates. This system requires the vehicle to be physically present, so that security is not hampered with and access is denied to any vehicle that is not registered. The results were recorded to observe the quality of recognition.","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"71 1","pages":"6-10"},"PeriodicalIF":0.0,"publicationDate":"2016-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83394117","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}
Timetabling problem is a process of assigning given set of events and resources to the limited space and time under hard constraints which are rigidly enforced and soft constraints which are satisfied as nearly as possible. As a kind of timetabling problems, University course timetabling is a very important administrative activity for a wide variety of institutes. Genetic algorithm is an advanced heuristics method which is very effective in many areas. It is frequently deployed meta-heuristics algorithm to solve difficult combinatorial optimization problems. In this paper, genetic algorithm is used to solve university course timetabling problem. At first, a model of problem to be solved is defined. Then, the genetic representation is determined and a fitness function is established according to the constraints. Finally, a case of university course timetabling from real-world is discussed and solved. It is demonstrated that the method proposed in this paper is feasible and efficient.
{"title":"An Application of Genetic Algorithm for University Course Timetabling Problem","authors":"R. Sanjay, S. Rajan","doi":"10.5120/IJAIS2016451590","DOIUrl":"https://doi.org/10.5120/IJAIS2016451590","url":null,"abstract":"Timetabling problem is a process of assigning given set of events and resources to the limited space and time under hard constraints which are rigidly enforced and soft constraints which are satisfied as nearly as possible. As a kind of timetabling problems, University course timetabling is a very important administrative activity for a wide variety of institutes. Genetic algorithm is an advanced heuristics method which is very effective in many areas. It is frequently deployed meta-heuristics algorithm to solve difficult combinatorial optimization problems. In this paper, genetic algorithm is used to solve university course timetabling problem. At first, a model of problem to be solved is defined. Then, the genetic representation is determined and a fitness function is established according to the constraints. Finally, a case of university course timetabling from real-world is discussed and solved. It is demonstrated that the method proposed in this paper is feasible and efficient.","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"42 1","pages":"26-30"},"PeriodicalIF":0.0,"publicationDate":"2016-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81012332","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}
CBIR alone won’t give perfect retrieval results due to semantic gap. To overcome the problem of semantic gap in CBIR, more than one Semantic Content Based Image Retrieval techniques are required which is known as Hybrid Classification System. Hence the proposed approach uses multiple machine learning techniques with combination of different classifiers like supervised and unsupervised, soft classifiers, spectral contextual classifiers. Remotely Sensed Image Retrieval System (RSIR) has to identify and retrieve similar images based on query image, to do so we need to extract feature of image in order to compare query Image and database image. The proposed approach is a combination of two Phases. First Phase involves feature extraction by Texture Feature with the help of Gabor Function and Spectral Distribution using Advanced Split and Merge Clustering whereas second Phase identifies the Local Pattern of retrieved images in Phase-I. The performance of the proposed approach is measured in terms of Precision, Recall and f-measure. Statistical analysis of the proposed hybrid approach in Phase-I (Texture and Spectral Distribution) shows that precision, recall and f-measure is get improved, on an average by 19.46%, 8.84%, 14.46% respectively when get compared with CBIR (Texture). Phase-I and Phase –II comparison in term of f-measure is increased up to 96.95%. Hence the hybrid approach gives more accurate result as compare to individual approach General Terms Image Retrieval for dataset of satellite imagery
{"title":"A Novel Image Retrieval Technique based on Gabor Function, Local Tetra Pattern and ASMC","authors":"K. Ashok, R. Manthalkar","doi":"10.5120/IJAIS2016451582","DOIUrl":"https://doi.org/10.5120/IJAIS2016451582","url":null,"abstract":"CBIR alone won’t give perfect retrieval results due to semantic gap. To overcome the problem of semantic gap in CBIR, more than one Semantic Content Based Image Retrieval techniques are required which is known as Hybrid Classification System. Hence the proposed approach uses multiple machine learning techniques with combination of different classifiers like supervised and unsupervised, soft classifiers, spectral contextual classifiers. Remotely Sensed Image Retrieval System (RSIR) has to identify and retrieve similar images based on query image, to do so we need to extract feature of image in order to compare query Image and database image. The proposed approach is a combination of two Phases. First Phase involves feature extraction by Texture Feature with the help of Gabor Function and Spectral Distribution using Advanced Split and Merge Clustering whereas second Phase identifies the Local Pattern of retrieved images in Phase-I. The performance of the proposed approach is measured in terms of Precision, Recall and f-measure. Statistical analysis of the proposed hybrid approach in Phase-I (Texture and Spectral Distribution) shows that precision, recall and f-measure is get improved, on an average by 19.46%, 8.84%, 14.46% respectively when get compared with CBIR (Texture). Phase-I and Phase –II comparison in term of f-measure is increased up to 96.95%. Hence the hybrid approach gives more accurate result as compare to individual approach General Terms Image Retrieval for dataset of satellite imagery","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"102 1","pages":"38-45"},"PeriodicalIF":0.0,"publicationDate":"2016-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80637800","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}
Long Term Evolution (LTE) was initially designed for a high data rates network. However, voice service is always a main service that drives huge profits benefit for mobile phone operators. Hence the deployment of Voice over LTE (VoLTE) is very essential. LTE network is a fully All-IP network, thus, the deployment of VoLTE is quite complex, specially for guaranteeing of Quality of Service (QoS) for meeting quality of experience of mobile users. The key purpose of this paper is to present an object, non-intrusive prediction model for VoLTE quality based on Random Neural Network (RNN). In order to simulate an experiment, a three-layer feed-forward RNN architecture with gradient descent training algorithm is applied. The inputs of this model are object network impairments such as Packet Loss Rate (PLR), Delay and Jitter. The VoLTE quality was predicted in term of the Mean Opinion Score (MOS). The simulation results show that this model offers MOS values which are quite close to well-known method is WB-PESQ (Wideband Perceptual Evaluation of Speech Quality) model. The results also show that the proposed model is very suitable for predicting voice quality over LTE network.
{"title":"Predicting VoLTE Quality using Random Neural Network","authors":"D. Nguyen, Hang Nguyen, É. Renault","doi":"10.5120/IJAIS2016451587","DOIUrl":"https://doi.org/10.5120/IJAIS2016451587","url":null,"abstract":"Long Term Evolution (LTE) was initially designed for a high data rates network. However, voice service is always a main service that drives huge profits benefit for mobile phone operators. Hence the deployment of Voice over LTE (VoLTE) is very essential. LTE network is a fully All-IP network, thus, the deployment of VoLTE is quite complex, specially for guaranteeing of Quality of Service (QoS) for meeting quality of experience of mobile users. The key purpose of this paper is to present an object, non-intrusive prediction model for VoLTE quality based on Random Neural Network (RNN). In order to simulate an experiment, a three-layer feed-forward RNN architecture with gradient descent training algorithm is applied. The inputs of this model are object network impairments such as Packet Loss Rate (PLR), Delay and Jitter. The VoLTE quality was predicted in term of the Mean Opinion Score (MOS). The simulation results show that this model offers MOS values which are quite close to well-known method is WB-PESQ (Wideband Perceptual Evaluation of Speech Quality) model. The results also show that the proposed model is very suitable for predicting voice quality over LTE network.","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"3 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75020789","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}
The present paper deals with the open-shop scheduling problem using a manual tuning of a genetic algorithm’s parameters. A comparison has been performed between Taillard’s Benchmarks for 60 instances, 2 dispatching rules and 198 variants from the GA algorithm obtained by changing the population size, the generation’s number, the crossover probability, and the mutation probability. Interesting results were obtained leading to some conclusions for the best choice of the parameters. General Terms Scheduling, Genetic Algorithms
{"title":"Genetic Algorithm Tuning Applied to the Open Shop Scheduling Problem","authors":"Chaouqi Mohsine, Benhra Jamal, My Ali","doi":"10.5120/IJAIS2016451588","DOIUrl":"https://doi.org/10.5120/IJAIS2016451588","url":null,"abstract":"The present paper deals with the open-shop scheduling problem using a manual tuning of a genetic algorithm’s parameters. A comparison has been performed between Taillard’s Benchmarks for 60 instances, 2 dispatching rules and 198 variants from the GA algorithm obtained by changing the population size, the generation’s number, the crossover probability, and the mutation probability. Interesting results were obtained leading to some conclusions for the best choice of the parameters. General Terms Scheduling, Genetic Algorithms","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"28 1","pages":"21-25"},"PeriodicalIF":0.0,"publicationDate":"2016-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85204759","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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