2017 International Conference on Frontiers of Information Technology (FIT)最新文献_第2页

Human, Object and Scene Centric Image Retrieval Engine to Enhance Image Management 以人、对象和场景为中心的图像检索引擎，增强图像管理

2017 International Conference on Frontiers of Information Technology (FIT) Pub Date : 2017-12-01 DOI: 10.1109/FIT.2017.00025

Humza Naveed, Gulraiz Khan, Saira Jabeen, Zeeshan Khan, Muhammad Usman Ghani Khan

引用次数: 2

Proposing Optimal ARMA Based Model for Measurement Compensation in the State Estimation 提出了一种基于最优ARMA的状态估计测量补偿模型

2017 International Conference on Frontiers of Information Technology (FIT) Pub Date : 2017-12-01 DOI: 10.1109/FIT.2017.00060

N. Khan, Syed Abuzar Bacha

引用次数: 3

Addressing Ambiguities in Software Team's Roles and Responsibilities: Minimizing Accountability Problems 处理软件团队角色和职责的模糊性:最小化责任问题

2017 International Conference on Frontiers of Information Technology (FIT) Pub Date : 2017-12-01 DOI: 10.1109/FIT.2017.00039

Abdul Jabbar, Ali Afzal Malik

{"title":"Addressing Ambiguities in Software Team's Roles and Responsibilities: Minimizing Accountability Problems","authors":"Abdul Jabbar, Ali Afzal Malik","doi":"10.1109/FIT.2017.00039","DOIUrl":"https://doi.org/10.1109/FIT.2017.00039","url":null,"abstract":"A software team consists of several individuals who are assigned different roles and responsibilities. Mostly these roles and responsibilities are not clear among team members. Due to this ambiguity, expectation about roles and responsibilities of an individual in a team is different between this individual and other team members. This ambiguity further leads to issues at the time of accountability and leads to blame games among team members. To create a culture of accountability, every team member should be very clear about his/her role, responsibilities and expectations from him/her. This paper addresses this problem of ambiguity in roles and responsibilities of software team members. We conducted a survey of various software development organizations to know how software teams look at these problems and what tools and techniques they are using to clarify roles and responsibilities. We have surveyed software teams having diverse experience ranging from less than one year to twenty plus years and diverse roles from internee to senior project manager so that any type of bias should not affect our results. After analysis of survey results, our findings reveal what industry practitioners think about this issue of ambiguity in roles and responsibilities and how they are addressing and managing this issue. Based on this analysis we have outlined the main findings and the best tools that software industry is using to successfully identify this issue of ambiguity in roles and responsibilities.","PeriodicalId":107273,"journal":{"name":"2017 International Conference on Frontiers of Information Technology (FIT)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122816898","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}

引用次数: 0

Ligature Analysis-based Urdu OCR Framework 基于结合力分析的Urdu OCR框架

2017 International Conference on Frontiers of Information Technology (FIT) Pub Date : 2017-12-01 DOI: 10.1109/FIT.2017.00023

Zaheer Ahmed, Khalid Iqbal, I. Mehmood, M. Ayub

引用次数: 4

User Association Techniques in Future Heterogeneous Networks 未来异构网络中的用户关联技术

2017 International Conference on Frontiers of Information Technology (FIT) Pub Date : 2017-12-01 DOI: 10.1109/FIT.2017.00011

K. Bakht, Haji. M. Furqan, Zain Ali, G. Sidhu

引用次数: 0

Performance Evaluation of Advanced Deep Learning Architectures for Offline Handwritten Character Recognition 用于离线手写字符识别的高级深度学习架构的性能评估

2017 International Conference on Frontiers of Information Technology (FIT) Pub Date : 2017-12-01 DOI: 10.1109/FIT.2017.00071

Moazam Soomro, Muhammad Ali Farooq, R. H. Raza

{"title":"Performance Evaluation of Advanced Deep Learning Architectures for Offline Handwritten Character Recognition","authors":"Moazam Soomro, Muhammad Ali Farooq, R. H. Raza","doi":"10.1109/FIT.2017.00071","DOIUrl":"https://doi.org/10.1109/FIT.2017.00071","url":null,"abstract":"This paper presents a hand-written character recognition comparison and performance evaluation for robust and precise classification of different hand-written characters. The system utilizes advanced multilayer deep neural network by collecting features from raw pixel values. The hidden layers stack deep hierarchies of non-linear features since learning complex features from conventional neural networks is very challenging. Two state of the art deep learning architectures were used which includes Caffe AlexNet [5] and GoogleNet models [6] in NVIDIA DIGITS [10]. The frameworks were trained and tested on two different datasets for incorporating diversity and complexity. One of them is the publicly available dataset i.e. Chars74K [4] comprising of 7705 characters and has upper and lowercase English alphabets, along with numerical digits. While the other dataset created locally consists of 4320 characters. The local dataset consists of 62 classes and was created by 40 subjects. It also consists upper and lowercase English alphabets, along with numerical digits. The overall dataset is divided in the ratio of 80% for training and 20% for testing phase. The time required for training phase is approximately 90 minutes. For validation part, the results obtained were compared with the ground-truth. The accuracy level achieved with AlexNet was 77.77% and 88.89% with Google Net. The higher accuracy level of GoogleNet is due to its unique combination of inception modules, each including pooling, convolutions at various scales and concatenation procedures.","PeriodicalId":107273,"journal":{"name":"2017 International Conference on Frontiers of Information Technology (FIT)","volume":"40 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132811328","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}

引用次数: 13

FIG based Quality Assurance in Software Product Lines 基于图的软件产品线质量保证

2017 International Conference on Frontiers of Information Technology (FIT) Pub Date : 2017-12-01 DOI: 10.1109/FIT.2017.00038

Nazish Yousaf, Rida Sheikh, M. Abbas

引用次数: 1

A Holistic Approach for Recognition of Complete Urdu Ligatures Using Hidden Markov Models 用隐马尔可夫模型识别乌尔都语完全结扎的整体方法

2017 International Conference on Frontiers of Information Technology (FIT) Pub Date : 2017-12-01 DOI: 10.1109/FIT.2017.00035

I. Din, I. Siddiqi, S. Khalid

引用次数: 3

Shadow Encoding Scheme: A Smart line Coding Scheme for Network Communication 阴影编码方案:一种用于网络通信的智能线路编码方案

2017 International Conference on Frontiers of Information Technology (FIT) Pub Date : 2017-12-01 DOI: 10.1109/FIT.2017.00064

Abdul Rasheed Rizwan, Tariq Ali

引用次数: 2

Sum-of-the-Parts Valuation-Based Scheduling of Parallel Applications over Global Grid 全局网格上基于零件和估值的并行应用调度

2017 International Conference on Frontiers of Information Technology (FIT) Pub Date : 2017-12-01 DOI: 10.1109/FIT.2017.00031

Aroosa Hameed, Muhammad Usman

引用次数: 0