{"title":"The Evolution of the Industry 4.0: A Retrospective Analysis Using Text Mining","authors":"Z. Durmusoglu, P. Ciftci","doi":"10.1145/3234698.3234757","DOIUrl":"https://doi.org/10.1145/3234698.3234757","url":null,"abstract":"Industry 4.0 and its applications have attracted the interest of both experts of industry and researchers of academy. This interest started to build a vast body of literature on the related topics and caused to raise a new question about how the related literature has changed over time. In this context, the major objective of the presented study is to provide insight about the scientific researches on industry 4.0 using the publications from the Thomson Reuters Web of Knowledge database during the period of 2007-2017. For this aim, the retrieved academic studies were analyzed using quantitative and text mining analyses to observe the change in number of publications over years and to gain insight about the textual structure. The results of the quantitative analysis showed that the popularity of industry 4.0 in the academy has risen significantly and reached the peak point in 2017 with 2658 articles. According to the text mining study, the most important research topics related to the industry 4.0 field are \"mobile\", \"internet of things\" and \"cloud computing\".","PeriodicalId":144334,"journal":{"name":"Proceedings of the Fourth International Conference on Engineering & MIS 2018","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115626239","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}
Ann A. Jarjes Alkazzaz, Kuanquan Wang, Ghassan J. Mohammed Aladool
{"title":"Precise Pupil Boundary Detection Using Angular Integral Projection and Active Contour Model","authors":"Ann A. Jarjes Alkazzaz, Kuanquan Wang, Ghassan J. Mohammed Aladool","doi":"10.1145/3234698.3234760","DOIUrl":"https://doi.org/10.1145/3234698.3234760","url":null,"abstract":"Precise pupil contour detection is of great importance to iris localization in iris-based biometric applications. A new algorithm for detecting the precise pupil contour in iris images is presented in this paper. The proposed algorithm detects the exact pupil contour rather than considering pupil boundary as a perfect circle which degrades the performance of later iris matching. It comprises two detection phases, the first for circular pupil contour and the second for the exact pupil contour. In the first phase, the approximate pupil center is determined as the center of mass of the binarized iris image, then the angular integral projection function (AIPF) is applied to detect a set of pupil boundary points, and finally the pupil circular contour is obtained by fitting a circle to the detected boundary points. While in the second phase, the accurate pupil contour is detected by employing an active contour model which is based on greedy optimization algorithm that is initialized on the pupil circle obtained form the first phase. Experimental results on three different iris databases indicate that the proposed algorithm can accurately detect pupil contour in less execution time as compared with other existing methods for iris segmentation, which confirms its performance.","PeriodicalId":144334,"journal":{"name":"Proceedings of the Fourth International Conference on Engineering & MIS 2018","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117333828","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":"Krishna Sudarsana: A Z-Space Similarity Measure","authors":"V. Radhakrishna, P. Kumar, V. Janaki","doi":"10.1145/3234698.3234742","DOIUrl":"https://doi.org/10.1145/3234698.3234742","url":null,"abstract":"Similarity profiled association mining from time stamped transaction databases is an important topic of research relatively less addressed in the field of temporal data mining. Mining temporal patterns from these databases requires choosing and applying similarity measure for pruning patterns after computing similarity degree. This paper proposes a new z-space based similarity measure KRISHNA SUDARSANA for time-stamped transaction databases. Applying KRISHNA SUDARSANA requires moving the threshold value given by user to a different transformation space (z-space) and is a function of standard deviation. A new expression for standard deviation is derived for use in the expression for similarity measure. This research extends the similarity measure SRIHASS by using a product based membership function.","PeriodicalId":144334,"journal":{"name":"Proceedings of the Fourth International Conference on Engineering & MIS 2018","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121943267","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":"Acute myocardial infarction","authors":"S. Mehri, W. Khamlaoui, M. Hammami","doi":"10.1145/3234698.3234741","DOIUrl":"https://doi.org/10.1145/3234698.3234741","url":null,"abstract":"Acute myocardial infarction (AMI) remains a leading cause of death and disability worldwide despite substantial improvements in diagnosis over the past decade. From being an illness prevalent predominantly in developed countries, AMI is now becoming increasingly more common in developing countries. AMI is a multifactorial disorder that is thought to result from an interaction between genetic background and environmental factors. Disease prevention is an important strategy for reducing the overall burden of AMI, and the identification of markers for disease risk is the key both for risk prediction and for potential intervention to reduce the chance of future events. Numerous candidate gene and genome-wide association studies have been performed on AMI, a small number of regulating genetic variants having a limited effect have been identified. However the mechanisms by which the variants of these genes influence the pathophysiology of disease are unknown. This phenomenon can partially be explained by possible gene-gene/epistasis interactions that were little investigated so far. Many attempts have been made to develop genetic profiles using the results of the genetic studies, but their value was very limited for predicting personal risk. Due to the high incidence and gravity of MI, it is of vital importance to define these diseases by understanding the mechanisms involved in their development. Moreover, more genetic studies are needed to map and identify other disease-causing genes.","PeriodicalId":144334,"journal":{"name":"Proceedings of the Fourth International Conference on Engineering & MIS 2018","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127825984","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":"Generating Summaries through Selective Part of Speech Tagging","authors":"Nesreen Al-sharman, I. Pivkina","doi":"10.1145/3234698.3234712","DOIUrl":"https://doi.org/10.1145/3234698.3234712","url":null,"abstract":"The paper describes a new method for generating extractive summaries. The methodology is an unsupervised method and it employs a new linguistic method. It is based on using selective part of speech (PoS) tagging for significant unigrams and bigrams extraction. A new selective rule-based part of speech tagging system is developed that concentrates on the most important parts of speech for summarizations, such as noun, verb, adjective. Other parts of speech such as prepositions, articles, adverbs, etc., play a lesser role in determining the meaning of sentences; therefore, they are not considered when choosing significant unigrams and bigrams. The most significant unigrams and bigrams along with other features of a text are used to build a final summary. The proposed method is tested on Citations and Opinosis data sets (user reviews on selected topics). Results show that the proposed method performs better than Text-Rank, LexRank, and Edmundson summarization methods.","PeriodicalId":144334,"journal":{"name":"Proceedings of the Fourth International Conference on Engineering & MIS 2018","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116882997","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 Innovative Approach to Improve Elasticity and Performance of Message Brokers for Green Smart Cities","authors":"Víctor Rampérez, J. Soriano, D. Lizcano, J. Lara","doi":"10.1145/3234698.3234732","DOIUrl":"https://doi.org/10.1145/3234698.3234732","url":null,"abstract":"The smart cities vision aims at exploiting the most advanced Internet of Things (IoT) technologies to support added-value services for the mitigation of the problems generated by the urban population growth. Nowadays, pollution, is one of the most worrying of these problems due to its direct and documented impact in the health of living organisms. However, in order to make cities \"smart\", there are some limitations to overcome such as the performance and scalability problems of the majority of the message brokers, which are the cornerstone of IoT and Smart City environments. In this paper we present an innovative design of a context broker which relies internally on a context-aware content-based publish-subscribe (CA-CBPS) middleware specifically designed to be elastic. This solution follows the FIWARE-NGSI v2 (Next Generation Service Interfaces) specification to manage the entire life cycle of context information across an IoT platform. Additionally, we present a use case using that specification for monitoring sky brightness with a network of photometers, as a first step to reduce and mitigate light pollution. Finally we demonstrate with an evaluation how the proposed broker overcomes the performance and elasticity limitations of the current reference implementation of the FIWARE IoT Platform's context broker (Orion), both implementing the same specification above mentioned.","PeriodicalId":144334,"journal":{"name":"Proceedings of the Fourth International Conference on Engineering & MIS 2018","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116181262","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":"Potential to reduce energy consumption and GHG emissions by using renewable energy technologies in the conversion of existing houses into net-zero and near net-zero energy buildings","authors":"S. R. Asaee, V. I. Ugursal","doi":"10.1145/3234698.3234771","DOIUrl":"https://doi.org/10.1145/3234698.3234771","url":null,"abstract":"One of the most popular options to reduce the energy consumption and the associated greenhouse gas (GHG) emissions in housing is the adoption of the net-zero energy building (NZEB) concept, which is defined as a building that exports energy equal to or more than that it imports. This paper explores the potential to reduce energy consumption and GHG emissions by using renewable energy technologies to convert existing houses into net-zero and near net-zero energy buildings based on the findings of an in-depth study conducted for the Canadian housing stock.","PeriodicalId":144334,"journal":{"name":"Proceedings of the Fourth International Conference on Engineering & MIS 2018","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126112486","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}
Shadi A. Aljawarneh, V. Radhakrishna, Aravind Cheruvu
{"title":"VRKSHA: A Novel Multi-Tree Based Sequential Approach for Seasonal Pattern Mining","authors":"Shadi A. Aljawarneh, V. Radhakrishna, Aravind Cheruvu","doi":"10.1145/3234698.3234735","DOIUrl":"https://doi.org/10.1145/3234698.3234735","url":null,"abstract":"Mining association patterns from a time-stamped temporal database is implicitly associated with task of scanning input database. Finding supports of itemsets requires scanning the input database. Database scan can be either snapshot or lattice based. Sequential method for similarity profiled association pattern mining originally proposed by Jin Soung Yoo and Sashi Sekhar is based on the snapshot database scan. Snapshot database scan involves scanning multi-time slot database, time slot by time slot. The major limitation of sequential method is the requirement to retain original temporal database in the memory for finding itemset supports. In this paper, a novel multi-tree structure called VRKSHA is proposed that eliminates the need to store the original temporal database in memory. The basic idea is to generate a time stamped temporal tree and use this multi-tree structure to obtain true supports of temporal itemsets for a given time slot. Discovery of similar temporal itemsets is based on finding distance between temporal itemset and reference and validating if the computed distance satisfies specified user dissimilarity threshold. A pattern is pruned if the dissimilarity condition fails at any given time slot well before computing true support of itemset w.r.t all time slots. The advantage of proposed sequential approach is from the fact that it does not require database retention in memory. The case study demonstrating working example proves the significance and efficiency of the proposed approach.","PeriodicalId":144334,"journal":{"name":"Proceedings of the Fourth International Conference on Engineering & MIS 2018","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129328208","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}
Burak Karaduman, T. Asici, Moharram Challenger, Raheleh Eslampanah
{"title":"A Cloud and Contiki based Fire Detection System using Multi-Hop Wireless Sensor Networks","authors":"Burak Karaduman, T. Asici, Moharram Challenger, Raheleh Eslampanah","doi":"10.1145/3234698.3234764","DOIUrl":"https://doi.org/10.1145/3234698.3234764","url":null,"abstract":"In this study, a ContikiOS based Library Fire Detection System proposed to provide coverage for a large physical area and to increase throughput by using multi-hop wireless sensor network. Moreover, the system has clouding feature of Google's Firebase for online data storing and Android application to notify the users in case of emergency. Furthermore, the network can be expanded without adding extra sink nodes to collect data. Benefiting from a multi-hop network, additional source nodes can send temperature values via relay nodes in case of low transmission power with sink node. According to the test results, the system has responded to the changes in temperature and prompted warning/alarm message in approximately 4 seconds using multi-hop network. Additionally, the system can notify the users in case of emergency.","PeriodicalId":144334,"journal":{"name":"Proceedings of the Fourth International Conference on Engineering & MIS 2018","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129546101","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}
F. Kaouah, Wassila Hachi, Chahida Oussalah, S. Boumaza, M. Trari
{"title":"Photocatalytic degradation of endocrine disruptor Bisphenol A in ZnO/UV system: optimization and modeling using a response surface methodology (RSM)","authors":"F. Kaouah, Wassila Hachi, Chahida Oussalah, S. Boumaza, M. Trari","doi":"10.1145/3234698.3234719","DOIUrl":"https://doi.org/10.1145/3234698.3234719","url":null,"abstract":"The aim of this work is to evaluate the degradation of of Bisphenol A (BPA), a representative endocrine disruptor chemical by ZnO under UVA irradiation in a batch reactor. Response surface methodology (RSM) has been used to develop a multi-variant regression model and to assess the influence of individual parameters as well as the interactive effects. Time (min), Catalyst (mg/l), H2O2 (mg), and pH were chosen as independent variables to optimize the degradation rate of BPA as response. The central composite design (CCD) consisting of 30 experiments determined by 24 full factorial designs with eight axial points and six center points was used to conduct experiments. The results showed tha the model predicted values are in good agreement with the experimental values, and the behavior of the model equation has supported the experimental observation with minor deviation. Separate validation experiment at predicted optimal condition ascertained the high predictive ability of the model equation. This work suggested that the ZnO assisted photocatalytic degradation is a versatile, economic, envinronmentally benign and efficient method for BPA removal in the aqueous environment","PeriodicalId":144334,"journal":{"name":"Proceedings of the Fourth International Conference on Engineering & MIS 2018","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129784314","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}