2017 International Artificial Intelligence and Data Processing Symposium (IDAP)最新文献_第10页

Influence analysis of posts in social networks by using quad-motifs 基于四动机的社交网络帖子影响力分析

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090218

A. Müngen, Mehmet Kaya

{"title":"Influence analysis of posts in social networks by using quad-motifs","authors":"A. Müngen, Mehmet Kaya","doi":"10.1109/IDAP.2017.8090218","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090218","url":null,"abstract":"Word of epidemic is a very popular term in modern world which social media has affect almost all people along all over the world. Modern World's social networks are very sophisticated networks and learning information is very crucial for analyze user behaviors. Finding user's effect on other users/people is very interesting point in complex networks. Almost all related works only focus on finding and analyzing user behaviors for creating user profiles. However, in real life, all posts actually have different effect so have different influence values. Our proposed method that based on fuse motif analysis (FMA), focus on finding most effective posts for Instagram Social Network which one of the most popular social networks. Proposed method firstly calculate all posts influence values on other people. In our method, it is take into account variety of factors include users' other posts popularity, emotional based sentimental analyze on comments and tag frequency. It has been proposed that to create a model to predict most influencing posts including all determined factors. Proposed method applied and analyzed on Instagram data which gathered by us and share our experimental results in the paper.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120922120","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: 9

Smart city application: Android based smart parking system 智慧城市应用:基于Android的智慧停车系统

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090284

Talha Kiliç, T. Tuncer

{"title":"Smart city application: Android based smart parking system","authors":"Talha Kiliç, T. Tuncer","doi":"10.1109/IDAP.2017.8090284","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090284","url":null,"abstract":"Wireless sensor networks consist of many sensors designed to provide information flow from a specific area. Sensors communicate with each other and receive information from the environment. The information obtained from the physical environment is carried into the network environment. In recent years, improvements in wireless sensor networks have necessitated the control, observation, data collection and storage of large physical areas. Especially in crowded cities, it is compulsory to collect and process data on physical infrastructure, air pollution, traffic and many similar issues. Therefore, cities become smart environments. The smart city structure aims to combine data from different sources for different purposes under a single point. In this article, we provide a framework that can instantly communicate park information to customers in different parts of the city. For this, parking information is stored in a database using cloud architecture through the sensors in the parking lot entrances. Customers can obtain parking information stored in the database with an improved mobile application. With smart parking system, it is possible to find suitable parking place, to prevent loss of customers time and to reduce costs.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132626563","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: 10

Implementation of applied prediction with YSA for data groups with association rule 基于YSA的关联规则数据组应用预测实现

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090256

Furkan Oztemiz, Serdar Ethem Hamamci

引用次数: 0

Pilot symbol based channel estimation and capacity evaluation in FBMC and OFDM FBMC和OFDM中基于导频符号的信道估计和容量评估

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090195

Bircan Kamislioglu, Ayhan Akbal

引用次数: 0

Artificial immune system optimization based duplex kinect skeleton fusion 基于人工免疫系统优化的双体kinect骨骼融合

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090248

Ali Fatih Gündüz, Mehmed Oguz Sen, A. Karcı, C. Yeroğlu

引用次数: 1

Multi-document summarization for Turkish news 土耳其新闻的多文档摘要

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090189

Ferhat Demirci, E. Karabudak, B. Ilgen

{"title":"Multi-document summarization for Turkish news","authors":"Ferhat Demirci, E. Karabudak, B. Ilgen","doi":"10.1109/IDAP.2017.8090189","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090189","url":null,"abstract":"In this paper, we introduce our multi-document summarization system for Turkish news. The aim of the summarization system is to build a single document for multi document news that have been collected previously. The news were collected from several Turkish news sources via Real Simple Syndication (RSS). They were separated into clusters according to their topics. We utilized cosine similarity metric for the clustering process. Latent Semantic Analysis (LSA) has been used in the summarization phase. Multi-Document Summarization (MDS) differs from single document summarization in that the issues of compression, speed, redundancy and passage selection are essential inside the formation of ideal summaries. In this study, we utilized term frequency in document scoring which let us select the sentences with higher importance degree. We use ROUGE technique for evaluation of the system and our results show that the average of recall and precision percentage of this system is 43%. In the manual summarization phase, fifteen volunteers took part. The reason of low percentage is interpreted as getting texts randomly without any edit. It has been observed that the number of sentences and rate of summarization affect the accuracy rate.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125676061","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

Visual servoing based path planning for wheeled mobile robot in obstacle environments 基于视觉伺服的轮式移动机器人障碍物路径规划

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090205

Mahmut Dirik, A. F. Kocamaz, Emrah Dönmez

引用次数: 5

Bi-RRT path extraction and curve fitting smooth with visual based configuration space mapping Bi-RRT路径提取和曲线拟合采用基于视觉的构型空间映射

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090214

Emrah Dönmez, A. F. Kocamaz, Mahmut Dirik

{"title":"Bi-RRT path extraction and curve fitting smooth with visual based configuration space mapping","authors":"Emrah Dönmez, A. F. Kocamaz, Mahmut Dirik","doi":"10.1109/IDAP.2017.8090214","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090214","url":null,"abstract":"Path planning is the one of the most basic research areas in robotics. It simply concern about acquiring a safe path with admissible cost. In this study, we adapt bidirectional rapidly random exploring tree (Bi-RRT) path extraction to visual based configuration space map hosting obstacles and smooth result path with curve fitting models. Firstly, a map of the configuration space is created and robot, target positions are detected with threshold based object detection. There are two positions where two distinct RRT are launched on this map. These positions are robot initial position and target position. Both RRT try to reach target with random branches in each iterations. When one of these RRT branch intersect with other RRT branch, the algorithm is stopped. The acquired trajectory is the path between initial position and target position. But acquired path is generally close to the obstacles and unnecessary branches or jagged parts can be formed. Therefore, to provide safety object dilation over obstacles are used. Finally, the path is smoothed with curve fitting models. We conduct several experiments to evaluate Bi-RRT performance.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114386171","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: 20

Classification of mammogram images by dictionary learning 基于字典学习的乳房x光图像分类

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090283

Mücahid Barstuğan, R. Ceylan

引用次数: 2

A survey of robotic agent architectures 机器人代理体系结构综述

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090280

Bora I. Kumova, Samuel Bacha Heye

引用次数: 2