{"title":"A Bluetooth-based Proximity Sensing and Object-tracking System","authors":"Qiuli Lu, Yu Sun","doi":"10.5121/csit.2019.91214","DOIUrl":"https://doi.org/10.5121/csit.2019.91214","url":null,"abstract":"This paper proposes the concept overall concept of a bluetooth-based proximity IoT device. Its methodology is introduced along with a working prototype. Potential applications and viability for data analysis is also discussed. In summary, such a device accomplishes the goal of closerange information communication in an effective, secure and reliable way through the use of beacons utilizing the BLE (Bluetooth Low Energy) Technology, a variety of different receiver devices that has native support for Bluetooth as well as a database used for data storage and retrieval. The biggest advantage of this technology is that proximity-based Internet has virtually endless potential for applications in the real world, including healthcare, retail and industrial manufacturing.","PeriodicalId":193900,"journal":{"name":"8th International Conference on Natural Language Processing (NLP 2019)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123032625","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}
{"title":"An Image Classification-based Approach to Automate Video Playing Detection at System Level","authors":"Eric Liu, Samuel Walcoff, Qiuli Lu, Yu Sun","doi":"10.5121/csit.2019.91215","DOIUrl":"https://doi.org/10.5121/csit.2019.91215","url":null,"abstract":"Tech distraction has become a critical issue on people’s work and study productivity, particularly with the growing amount of digital content from the social media site such as Youtube. Although browser-based plug-ins are available to help block and monitor the sites, they do not work for all scenarios. In this paper, we present a system-level video playing detection engine that captures screenshots and analyze the screenshot image using deep learning, in order to predict whether the image has videos in it or not. A mobile app has also been developed to enable parents to control the video playing detection remotely.","PeriodicalId":193900,"journal":{"name":"8th International Conference on Natural Language Processing (NLP 2019)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114292450","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}
{"title":"An Intelligent Internet-of- Things(IoT) Door Bell System for Smart Notification Alert","authors":"Melissa Qian, Yu Sun, Fangyan Zhang","doi":"10.5121/csit.2019.91205","DOIUrl":"https://doi.org/10.5121/csit.2019.91205","url":null,"abstract":"This paper presents an innovative redesign of a doorbell system in order to eliminate unnecessary ringing noise from users’ daily life. Employing artificial intelligence for face recognition, the IoT doorbell system define the visitors as complete strangers or someone who is expected. The next step operates based on this result; the doorbell system will either ring or send out notification to the users’ phone depending on the familiarity of the visitor and the user.","PeriodicalId":193900,"journal":{"name":"8th International Conference on Natural Language Processing (NLP 2019)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132647352","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}
{"title":"Semi-supervised Approach for Hindi Stemming","authors":"A. Anand, S. Chatterji, S. Bhattacharya","doi":"10.5121/csit.2019.91204","DOIUrl":"https://doi.org/10.5121/csit.2019.91204","url":null,"abstract":"Stemming is one of the most fundamental requirement of any Natural Language Processing tasks such as Information Retrieval. In simple words, it is the process of finding stem of a given word. This paper presents an algorithm to find the stem of a word in Hindi. The proposed algorithm uses word2vec, which is a semisupervised learning algorithm, for finding the 10 most similar words from a corpus. Then a mathematical function is proposed to achieve the above mentioned task of finding stem. Significant amount of attention need to be given to Indo-Aryan languages like Hindi, Bengali, Marathi etc. in the domain of Natural Language Processing because of their highly inflectional properties. Moreover,it is very difficult to build a rule based stemmer for such highly conflated languages. The proposed algorithm does not need any annotated corpus and does not use any hardcoded rules for finding the stem. The results are verified by selecting a set of 1000 Hindi words randomly taken from a corpus and comparing the results given by the proposed algorithm and the actual results created manually.","PeriodicalId":193900,"journal":{"name":"8th International Conference on Natural Language Processing (NLP 2019)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122712159","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}