2019 National Information Technology Conference (NITC)最新文献

A Sinhala and Tamil Extension to Generic Environment for Context-aware Correction 僧伽罗语和泰米尔语扩展到上下文感知校正的通用环境

2019 National Information Technology Conference (NITC) Pub Date : 2019-10-01 DOI: 10.1109/NITC48475.2019.9114399

Lakshikka Sithamparanathan, T. Uthayasanker

{"title":"A Sinhala and Tamil Extension to Generic Environment for Context-aware Correction","authors":"Lakshikka Sithamparanathan, T. Uthayasanker","doi":"10.1109/NITC48475.2019.9114399","DOIUrl":"https://doi.org/10.1109/NITC48475.2019.9114399","url":null,"abstract":"There are several types of research available on spell checkers for European languages and Indian languages. However, low resourced languages like Tamil & Sinhala have limited research in this problem space, maybe, because of its highly inflectional and morphologically rich nature. There is no fully functional context-aware spell-checking system, especially as an open source. A Generic Environment for context-aware spell correction approach is extended for resource-scarce languages: Sinhala and Tamil in this paper. Experimental results show that our system detects the error in spelling well and provides the most suitable suggestions for correcting the misspelled words with a minimum of 85% accuracy for Tamil and 70% for the Sinhala Language. This is the first ever context-aware spell corrector for the Sinhala language. Compared to prior Tamil language context-aware spell correctors this leaps in 1) modularized architecture and 2) increased coverage and accuracy. Moreover, this study produced a Tamil and Sinhala spell correction benchmark dataset. Both the dataset and the tools are available for public use.","PeriodicalId":386923,"journal":{"name":"2019 National Information Technology Conference (NITC)","volume":"36 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131328803","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: 2

Demonstration and Validation of an Advanced Symptom Checker 高级症状检查器的演示和验证

2019 National Information Technology Conference (NITC) Pub Date : 2019-10-01 DOI: 10.1109/NITC48475.2019.9114500

A. Perera

引用次数: 1

Measuring Software Integration Effort: Identifying Factors Affecting Integration of Software Systems 测量软件集成工作:识别影响软件系统集成的因素

2019 National Information Technology Conference (NITC) Pub Date : 2019-10-01 DOI: 10.1109/NITC48475.2019.9114511

H. Edirisinghe, S. Thelijjagoda, D. Nawinna

引用次数: 0

Enhanced Tokenizer for Sinhala Language 增强的僧伽罗语标记器

2019 National Information Technology Conference (NITC) Pub Date : 2019-10-01 DOI: 10.1109/NITC48475.2019.9114420

S. Y. Senanayake, K. Kariyawasam, P. Haddela

引用次数: 3

Dynamic Stopword Removal for Sinhala Language 僧伽罗语动态停词去除

2019 National Information Technology Conference (NITC) Pub Date : 2019-10-01 DOI: 10.1109/NITC48475.2019.9114476

A.A.V.A Jayaweera, Y.N Senanayake, P. Haddela

引用次数: 4

Context Rich Hybrid Navigation Using WiFi and Geomagnetic Sensors in Smartphones and Map Generation Using Lidar 在智能手机中使用WiFi和地磁传感器的富背景混合导航和使用激光雷达生成地图

2019 National Information Technology Conference (NITC) Pub Date : 2019-10-01 DOI: 10.1109/NITC48475.2019.9114502

A. Jayakody, S. Lokuliyana, V.N.N. Weerawardene, K.D.P.S. Somathilake, A.M.D.D.U. Ishara

{"title":"Context Rich Hybrid Navigation Using WiFi and Geomagnetic Sensors in Smartphones and Map Generation Using Lidar","authors":"A. Jayakody, S. Lokuliyana, V.N.N. Weerawardene, K.D.P.S. Somathilake, A.M.D.D.U. Ishara","doi":"10.1109/NITC48475.2019.9114502","DOIUrl":"https://doi.org/10.1109/NITC48475.2019.9114502","url":null,"abstract":"Navigation systems perform a huge role in traveling component of life. Most importantly it helps people to get to places even in foreign or unfamiliar environments. This research introduces a way of mapping environments with less effort, which shows that mapping an indoor environment is an easy task that could be performed by any tech savvy individual. This has been done by examining several projects and researches conducted by various personnel and organizations including NASA. It has become clear that the technology ‘LIDAR,’ is clearly feasible for the requirement of indoor map generation. A software was later built to accommodate the device which is built using LIDAR and to give the user a better experience in map generation. The software helps to overcome the limitations that are imposed by the device. The overall product with the device and software integrated provides an ideal low-budget solution for the users. The proposed system service features three highly desirable properties, namely accuracy, scalability, and crowdsourcing. IPS is implemented with a set of crowdsourcing-supportive mechanisms to handle the collective amount of raw data, filter incorrect user contributions and exploit Wi-Fi data from diverse mobile devices. Furthermore, it uses a big-data architecture for efficient storage and retrieval of localization and mapping data. In this research, the service relies on the sensitive data collected by smartphones (Wi-Fi signal strength and geomagnetic measurements) to deliver reliable indoor geolocation information.","PeriodicalId":386923,"journal":{"name":"2019 National Information Technology Conference (NITC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114634216","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

A Real-Time Cardiac Arrhythmia Classifier 实时心律失常分类器

2019 National Information Technology Conference (NITC) Pub Date : 2019-10-01 DOI: 10.1109/NITC48475.2019.9114464

Himeshika Abayaratne, Shalindri Perera, Erandi De Silva, Pramadhi Atapattu, M. Wijesundara

引用次数: 3

Categorical Classification Approach for Identifying Multi-SIM Users from Call Detail Records 基于通话记录的多sim卡用户分类识别方法

2019 National Information Technology Conference (NITC) Pub Date : 2019-10-01 DOI: 10.1109/NITC48475.2019.9114444

Charith Soysa, Savindi Karunathilaka, Amali Matharaarachchi, Himashi Rodrigo, Uthayasanker Thayasivam

引用次数: 0

Fraud Detection Solution for Monetary Transactions with Autoencoders

2019 National Information Technology Conference (NITC) Pub Date : 2019-10-01 DOI: 10.1109/NITC48475.2019.9114519

Lakshika Sammani Chandradeva, I. Jayasooriya, A. Aponso

{"title":"Fraud Detection Solution for Monetary Transactions with Autoencoders","authors":"Lakshika Sammani Chandradeva, I. Jayasooriya, A. Aponso","doi":"10.1109/NITC48475.2019.9114519","DOIUrl":"https://doi.org/10.1109/NITC48475.2019.9114519","url":null,"abstract":"Fraud has turned into a trillion-dollar industry which may lead to risk of financial loss as well as the loss of customers' and stakeholders' confidence on financial organizations. Nowadays, online transactions, mobile wallets and payment card transactions are becoming more popular within society. With the growth of such cashless transactions, the number of fraudulent activities in the world is also increasing. According to the current global economic context, efforts being made to detect and prevent frauds are also increasing. Having an effective financial transaction fraud detection system could save trillions of dollars from fraudulent activities. Supervised machine learning based fraud detection solution is the trending mechanism used in fraud detection solutions. Nevertheless, such supervised machine learning based solutions need a labelled dataset in order to train the machine learning model. The reason for the existence of current fraudulent actions is that labelled datasets are hard to find in real-world environments, and if such labelled datasets are available, thereafter such fraud detection solutions would detect fraudulent patterns based on the fraudulent patterns of the fraudulent events in the training labelled dataset. Therefore, there is an extensive business requirement of having a fraud detection solution which can be trained using a raw financial transaction dataset, in other words using an unlabelled dataset which is commonly available in financial transaction systems in order to detect accurate fraudulent events. Test results obtained for the synthetically generated dataset shows that autoencoder is able to detect fraudulent transaction events with 83% of AUC score which represents high capability of binary classification as fraudulent or genuine transactions.","PeriodicalId":386923,"journal":{"name":"2019 National Information Technology Conference (NITC)","volume":"IM-25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126609818","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

UniOntBot: Semantic Natural Language Generation based API approach for Chatbot Communication UniOntBot:基于语义自然语言生成的聊天机器人通信API方法

2019 National Information Technology Conference (NITC) Pub Date : 2019-10-01 DOI: 10.1109/NITC48475.2019.9114440

Lakindu Gunasekara, Kaneeka. Vidanage

引用次数: 8