Proceedings of the 2nd International Conference on Communication and Information Processing最新文献

Exploring factors influencing implementation process of enterprise application integration (EAI): lessons from government-to-government project in Oman 企业应用集成(EAI)实施过程的影响因素探讨:阿曼政府对政府项目的经验教训

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018018

F. Al-Balushi, M. Bahari, Azizah Abdul Rahman

引用次数: 2

Integration and exchange method of multi-source heterogeneous big data for intelligent power distribution and utilization 面向智能配电利用的多源异构大数据集成与交换方法

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018040

Gang Xu, Shunyu Wu, Pengfei Xie

引用次数: 0

QoE-driven multi-service resource scheduling strategy in mobile network 移动网络中qos驱动的多业务资源调度策略

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3023387

Yifan Liu, Yao Sun, Xin'ge Yan, Qiao Li, Fei Wang, Sheeraz Arif

{"title":"QoE-driven multi-service resource scheduling strategy in mobile network","authors":"Yifan Liu, Yao Sun, Xin'ge Yan, Qiao Li, Fei Wang, Sheeraz Arif","doi":"10.1145/3018009.3023387","DOIUrl":"https://doi.org/10.1145/3018009.3023387","url":null,"abstract":"As quality of experience (QoE) concerns more about users' end-to-end subjective experience than quality of service (QoS), it becomes an important performance metric when designing a resource scheduling algorithm. In this paper, we propose a QoE-driven multi-service resource scheduling (QMRS) algorithm aiming at maximizing the QoE of the whole system. In QMRS, a specific utility model is adopted as a normalized QoE evaluation metric of end users, which is highly universalizable and extensible and of great importance for the newborn service evaluation. We use a greedy algorithm based on utility models for different services to optimize the wireless resource allocation in multi-users mobile network. Compared with the traditional proportional fair (PF) scheduling method, the end users' utility value increases from 0.82 to 0.92 in less users condition. In condition of 45 users, the utility value can increase to 0.56 with QMRS method from 0.26 with PF method. The results validate that the proposed QMRS can guarantee users' QoE in different services with limited wireless resource.","PeriodicalId":189252,"journal":{"name":"Proceedings of the 2nd International Conference on Communication and Information Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134178446","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

Exploiting collaborative learning for concept extraction in the medical field 协同学习在医学领域概念提取中的应用

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018054

Meng Tian, Jianqiang Li, Jijiang Yang, Bo Liu, Xi Meng, Ronghua Li, J. Bi

{"title":"Exploiting collaborative learning for concept extraction in the medical field","authors":"Meng Tian, Jianqiang Li, Jijiang Yang, Bo Liu, Xi Meng, Ronghua Li, J. Bi","doi":"10.1145/3018009.3018054","DOIUrl":"https://doi.org/10.1145/3018009.3018054","url":null,"abstract":"With the increasing interests of second use of medical data, concept extraction in Electronic Medical Records has drawn more and more scholars' attention. Owing to the artificial data annotation task is labor intensive, the method of concept extraction is mainly to use the fully labeled documents as training data in order to build a concept instance identifier. However, in many cases, the available training data are sparse labeling. This fact makes the performance of the constructed classifier is poor. Existing methods for extracting concepts either considered the diversity of datasets or considered the various learning models. Therefore, this paper proposes a novel approach to improve the performance of concept extraction from electronic medical records by combining the diversity of datasets with the various learning models. The large sparsely labeled dataset is split into multiple subsets. Then the different subsets are trained by different learning models, such as HMM, MEMM, and CRF, in an iterative way. Our technique leverages off the fact that different learning algorithms have different inductive biases and that better predictions can be made by the voted majority.","PeriodicalId":189252,"journal":{"name":"Proceedings of the 2nd International Conference on Communication and Information Processing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125749299","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

Social media application features to support coaching and mentoring process for student final project 社交媒体应用程序功能，以支持学生期末项目的指导和指导过程

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018025

Kartika Gianina Tileng, Stephanus Eko Wahyudi

{"title":"Social media application features to support coaching and mentoring process for student final project","authors":"Kartika Gianina Tileng, Stephanus Eko Wahyudi","doi":"10.1145/3018009.3018025","DOIUrl":"https://doi.org/10.1145/3018009.3018025","url":null,"abstract":"The advancing of information and communication technology (ICT) innovation has led to various significant impacts in a number of different fields of study, including the education sector. Higher education institutions such as universities should introduce the use ICT to support the teaching and learning processes. It will allow students to have the authority and flexibility to manage their own study time, especially during working on final project or thesis. The introduction a website that act as an e-learning tools that have social media features, might be able to promote the study effectiveness. Students will be able communicate with the supervisors or peers through the system. Additionally, supervisors can still play their role as a mentor and coach to motivate the students to complete their project on time. This research is meant to be the initial step to the development of an e-learning system. It tries to find the significance of e-learning tools features offered, in order to support students during their study. The features are validated with one of Technology Acceptance Model (TAM) variable called Perceived Usefulness. The result of this study will then be implemented in the system.","PeriodicalId":189252,"journal":{"name":"Proceedings of the 2nd International Conference on Communication and Information Processing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128259901","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: 6

Stereo-based pedestrian detection using the dynamic ground plane estimation method 基于立体行人检测的动态地平面估计方法

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018035

Y. Lim, M. Kang

{"title":"Stereo-based pedestrian detection using the dynamic ground plane estimation method","authors":"Y. Lim, M. Kang","doi":"10.1145/3018009.3018035","DOIUrl":"https://doi.org/10.1145/3018009.3018035","url":null,"abstract":"Pedestrian detection requires both reliable performance and fast processing. Stereo-based pedestrian detectors meet these requirements due to a hypotheses generation processing. However, noisy depth images increase the difficulty of robustly estimating the road line in various road environments. This problem results in inaccurate candidate bounding boxes and complicates the correct classification of the bounding boxes. In this letter, we propose a dynamic ground plane estimation method to manage this problem. Our approach estimates the ground plane optimally using a posterior probability that combines a prior probability and several uncertain observations due to cluttered road environments. Our approach estimates a ground plane optimally using a posterior probability which combines a prior probability and several uncertain observations due to cluttered road environments. The experimental results demonstrate that the proposed method estimates the ground plane robustly and accurately in noisy depth images and also a stereo-based pedestrian detector using the proposed method outperforms previous state-of-the art detectors with less complexity.","PeriodicalId":189252,"journal":{"name":"Proceedings of the 2nd International Conference on Communication and Information Processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127463603","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: 1

Implementation of multimodal neonatal identification using Raspberry Pi 2 使用树莓派2实现多模态新生儿识别

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018043

S. Sumathi, R. Poornima, T. Haripriya

{"title":"Implementation of multimodal neonatal identification using Raspberry Pi 2","authors":"S. Sumathi, R. Poornima, T. Haripriya","doi":"10.1145/3018009.3018043","DOIUrl":"https://doi.org/10.1145/3018009.3018043","url":null,"abstract":"Abduction, swapping and mix-ups are the unfortunate events that could happen to newborn while in hospital premises and medical personnel are finding it difficult to curb this unfortunate incident. Traditional methods like birth ID bracelets and offline footprint recognition systems have their own drawbacks. Hence, a neonatalonline personal authentication system is proposed for this issue based on multimodal biometric system wherein footprint and palm print of neonatal is used for recognition. This concept is further enhanced by developing a prototype to be implemented on a Raspberry Pi 2 (a single board computer). In this paper, SIFT feature extraction, RANSAC algorithm for identification of matched interest points of palm print and footprint biometrics using OpenCV on Raspberry pi is implemented. The Raspberry Pi is a quad core ARM Cortex A7 application processor, System on chip (SoC) denoted as Broadcom BCM2836. It enhances performance, consumes less power, and reduces overall system cost and size. The Raspberry Pi is been controlled by a modified version of Debian Linux OS optimized for ARM architecture. The image recognition is performed using open source OpenCV-3.1.0 in Linux platform using CMake, g++, makefile. Thereby the proposed system improves the security system in hospitals / birth centers and provides a low cost solution to the newborn swapping rather than the expensive DNA and HLA(Human Leukocyte Antigen)typing procedures. The efficiency(97.2%) is high when multimodality is used than unimodality. This paper elucidates the research works carried on hardware as a biometric module to enhance the performance of a standalone device.","PeriodicalId":189252,"journal":{"name":"Proceedings of the 2nd International Conference on Communication and Information Processing","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128909287","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

Clustering for high dimensional categorical data based on text similarity 基于文本相似度的高维分类数据聚类

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018022

G. S. Narayana, D. Vasumathi

{"title":"Clustering for high dimensional categorical data based on text similarity","authors":"G. S. Narayana, D. Vasumathi","doi":"10.1145/3018009.3018022","DOIUrl":"https://doi.org/10.1145/3018009.3018022","url":null,"abstract":"It is a well-known fact that a variety of cluster analysis techniques exist to group objects which have characteristics related to one another. But the fact of the matter is the implementation of many of these techniques poses a great challenge because of the fact that much of the data contained in today's database is categorical in nature. Despite the fact that there have been recent advances in algorithms for clustering categorical data, some are unable to handle uncertainty in the clustering process while others have stability issues. In this paper, it is intended to propose an effective method for text similarity based clustering technique. At first the relevant features are selected from the input dataset. Thus the relevant features are clustered based on the A Possibilistic Fuzzy C-Means Clustering Algorithm (PFCM). Here the features used for clustering will be the similarity between the categorical data. The similarity measure is presented namely SMTP (similarity measure for text processing) for the two categorical data. Clustering based proposed method has high probability of producing a useful subset and independent features. To improve the efficiency of the proposed method, construct the minimum spanning tree by an optimization algorithm. Here adaptive artificial bee colony algorithm (AABC) is used for the purpose of selecting the optimal features. The performance of the proposed technique is evaluated by clustering accuracy, Jaccard coefficient and Dice's coefficient. The proposed method will be implemented in MATLAB platform using machine learning repository.","PeriodicalId":189252,"journal":{"name":"Proceedings of the 2nd International Conference on Communication and Information Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128962793","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: 1

Context aware recommendation for data visualization 数据可视化的上下文感知推荐

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018027

W. Kanchana, G. Madushanka, H. Maduranga, M. Udayanga, D. Meedeniya, Galhenage Indika Udaya Shantha Perera

引用次数: 3

Stiffness parameter evaluation for graphical and haptic gallbladder model 胆囊图形和触觉模型的刚度参数评价

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018024

Aruni Nisansala, G. Dias, N. Kodikara, M. Weerasinghe, D. Sandaruwan, C. Keppitiyagama, Nuwan Dammika

{"title":"Stiffness parameter evaluation for graphical and haptic gallbladder model","authors":"Aruni Nisansala, G. Dias, N. Kodikara, M. Weerasinghe, D. Sandaruwan, C. Keppitiyagama, Nuwan Dammika","doi":"10.1145/3018009.3018024","DOIUrl":"https://doi.org/10.1145/3018009.3018024","url":null,"abstract":"Surgery simulation platform is a combination of three components; deformable model; input output method and; collision detection method. Throughout the literature there are number of techniques, algorithms and mechanisms have been proposed to enhance the performances of those modules. In this paper we presents an extensive literature review on deformable object modeling algorithms, collision detection methods, haptic devices, haptic force feedback and rendering mechanism. Stiffness value is the governing parameter which decides the overall performance as well as the realism of the deformable models. With the stiffness it can increase or decrease the flexibility of the model. With the haptic force feedback it can sense the flexibility of the model. Hence it is important to impose an acceptable stiffness on model to enhance the user realism. Based on the methods which have been used to implement the deformable model, the acceptable stiffness value range may vary. In this paper it has discussed the stiffness parameter extraction process for the designed deformable gallbladder model under certain constraints and also has proposed an acceptable stiffness value range. The process has been evaluated based on the young modulus value of the live gallbladder tissue.","PeriodicalId":189252,"journal":{"name":"Proceedings of the 2nd International Conference on Communication and Information Processing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125032199","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