{"title":"Improvement of complete malaria cell image segmentation","authors":"Monlica Wattana, Tipwalee Boonsri","doi":"10.1109/ICDIM.2017.8244655","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244655","url":null,"abstract":"Blood smear evaluation continues to be a noteworthy method for diagnosing malaria infection. However, obtaining complete malaria cells for analysis is still a problem because the clarity and the brightness of most images are different. So, there are errors in malaria cell detection. Therefore, this study presented the method for adjusting red blood cell images to the optimum brightness level by improving the partial contrast stretching technique. Then S component in the HSI color space was used to detect the red blood cells infected with the malaria. It was also incorporated with a∗ component in CIE L∗a∗b∗ color space to obtain a complete malaria cell. In the experiment, 52 images of thin blood film were used. The results revealed that the accuracy of the detection of malaria-infected red blood cells from the S component was 80.76 percent while the accuracy of the proposed method in this study was accounted for 98.08 percent. Therefore, the proposed method was effective for malaria cell image segmentation, and complete cell images were obtained.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"72 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":"129364979","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}
K. Sonet, M.-D. Arif Rahman, Pritom Mazumder, Abid Reza, R. Rahman
{"title":"Analyzing patterns of numerously occurring heart diseases using association rule mining","authors":"K. Sonet, M.-D. Arif Rahman, Pritom Mazumder, Abid Reza, R. Rahman","doi":"10.1109/ICDIM.2017.8244690","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244690","url":null,"abstract":"The use of technology and science in Healthcare has made services available to all the people along with ensuring the best care for the people. Data Mining provides us such useful techniques, which can help the medical practitioners to effectively analyze and discover large amount of data in a more efficient and convenient way as now electronic recording system of data has come into existence. Therefore, millions of data are now available and majority of them would have been remained undiscovered, if the data mining techniques were not introduced. In our work, an association based rule mining technique has been used to identify such hidden patterns of the most commonly occurring heart diseases namely Unstable Angina(UA), Myocardial Infarction(MI), Coronary Heart Disease(CHD) etc. among Bangladeshi people and unravelling the hidden information by analyzing the results. Basically, other researchers in this field used the classification and clustering methods of data mining by which they could predict the chance of occurring heart diseases and clustered them to identify the dependency of one attribute to another. The trends or patterns for heart diseases may vary depending on sex, age, socioeconomic condition, demographic regions and so on. The objective of our work is to find out those hidden trends or patterns. Therefore, we have chosen association rule mining technique to find those patterns or trends among patients depending on their age, sex, regions and socioeconomic condition.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","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":"114772713","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":"Factor analysis of investment trust products by using monthly reports and news articles","authors":"Nobuaki Onishi, Qiang Ma","doi":"10.1109/ICDIM.2017.8244661","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244661","url":null,"abstract":"In this paper, we propose a method of factor analysis with the state space model to help people understand trust products. First, we extract the macro- and micro-factors that affect the net assets value (NAV) of investment trust products from monthly reports and news articles. The extracted factors are then classified by associating them with the categories defined in the Nikkei Thesaurus (Nihon Keizai Shimbun). After that, we select appropriate factors and then construct the state space model to analyze the degree of impact on the NAV of macro- and micro-factors based on the detection of trends in NAV and the correlation analysis of factors. We validated the proposed method based on experimental results.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"33 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":"115778371","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":"Item recommending by item co-purchasing network and user preference","authors":"S. Sodsee, Maytiyanin Komkhao","doi":"10.1109/ICDIM.2017.8244640","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244640","url":null,"abstract":"A novel recommendation approach based on multiple-objectives optimization is introduced. It utilizes histories of item co-purchases as represented by directed graphs and histories of user preferences for items as represented by user-item rating matrices to create models of user behavior. Herein, multiple objectives for item recommendations are considering to maximize the ratings and rankings of each item as derived from user preferences and co-purchasing networks of items, respectively. Finally, optimal items, called Pareto optimal solutions, will be recommended.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"37 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":"133450828","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":"Tweets of Thailand: A tweet retrieval system for domestic tourism in Thailand","authors":"Rangsipan Marukatat, Nutthapon Chinchaipong, Sirapop Prechalertpririya","doi":"10.1109/ICDIM.2017.8244663","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244663","url":null,"abstract":"In this paper, a tweet retrieval system for domestic tourism in Thailand is proposed. The system mashes up Twitter with Google Maps. Users can locate travelling destinations on the maps and retrieve recent tweets about those destinations. They can also sort and filter tweets by subjects of their interest. Having been informed of what is going on at intended destinations, they can make better plans for their trips. This system was evaluated by 30 users and the results appeared to be satisfying.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"2003 17","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132678324","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":"Toward positioning IoT-empowered service engineering in city platform as a service","authors":"T. Yamakami","doi":"10.1109/ICDIM.2017.8244666","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244666","url":null,"abstract":"Internet of Things, IoT, connects physical objects and the cyberspace, which provides potentials to leverage organization and business redesign. An increasing need of digital business integration presents a broad challenge for a wide range of industries. It requires changes in design and operation processes, which ultimately leads to an organizational change. The author proposes dimensions to provide positioning of an IoT service in a comparative framework. Then, the author presents a framework using the proposed dimensions to classify IoT-empowered service engineering. This provides a general framework to assess coverage of city-scale IoT platforms.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"122 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":"123512427","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":"DREAM: Dynamic data relation extraction using adaptive multi-agent systems","authors":"Elhadi Belghache, J. Georgé, M. Gleizes","doi":"10.1109/ICDIM.2017.8244684","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244684","url":null,"abstract":"Understanding data is the main purpose of data science and how to achieve it is one of data science challenges, especially when dealing with big data. In order to find meaning and relevant information drowned in the data flood, while overcoming big data challenges, one should rely on an analytic tool able to find relations between data, evaluate them and detect their changes and evolution over time. The aim of this paper is to present the DREAM1 tool for dynamic data relations discovery and dynamic display based on a collective artificial intelligence Adaptive Multi-Agent System (AMAS) that uses a new data similarity metric, the Dynamics Correlation. It is currently being applied in the neOCampus operation, the ambient campus of the University of Toulouse III — Paul Sabatier.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"23 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":"123960671","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}
Taeui Song, Jaewook Jung, Dongwoo Kang, Hyoungshick Kim, Dongho Won
{"title":"Cryptanalysis of an authentication scheme for multi-gateway wireless sensor networks","authors":"Taeui Song, Jaewook Jung, Dongwoo Kang, Hyoungshick Kim, Dongho Won","doi":"10.1109/ICDIM.2017.8244650","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244650","url":null,"abstract":"Wireless sensor network has wide potential application in many fields such as military, agricultural and healthcare. However, it also has some vulnerabilities because of its openness. For this reason, many researchers have proposed various user authentication schemes for added security of wireless sensor networks. Recently, Wu et al. proposed an authentication scheme for multi-gateway wireless sensor networks in Internet of Things deployment. Wu et al. claimed that their scheme is secure against user forgery attack and session key leakage. However, we found that the scheme is vulnerable to outsider and user impersonation attacks. In this paper, we revisit Wu et al.'s scheme and analyze its vulnerabilities.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"35 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":"125024921","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":"Spell corrector to social media datasets in message filtering systems","authors":"Zar Zar Wint, Theo Ducros, M. Aritsugi","doi":"10.1109/ICDIM.2017.8244677","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244677","url":null,"abstract":"We develop a spell checker and corrector to check word errors in the social media datasets, which will be used in message filtering systems specially for cyberbullying detection. We use the dictionary techniques to check words and there are ten word spell error checking and correction approaches. If there are more than one corrected word we get from each approach, we use Levenshtein distance to choose the corrected word from the words in the dictionary. The spell correction results were around 90%. Moreover the percentage of each approach highlighted the efficiency of adding letters in the word.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"34 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":"128829577","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":"Mining and visualization of interpersonal interaction networks","authors":"S. Lim","doi":"10.1109/ICDIM.2017.8244660","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244660","url":null,"abstract":"While modern online social networks offer unprecedented amount of data and opportunities for mining, other forms of social networks have been around throughout human history. Classic books, whether fictional or non-fictional, then become important sources for the analysis of interpersonal interactions. In this paper, we propose a formal framework for the mining of interpersonal interactions from classic books. We demonstrate the effectiveness of the formal approach by presenting the encouraging result from a network analysis conducted over the persons appearing in the book of Genesis. The result aids the understanding of the persons featured in the book and their interactions. We also present the merits and challenges of visualization techniques pertaining to our work.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"29 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":"126135890","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}