Concept drift from 1980 to 2020: a comprehensive bibliometric analysis with future research insight

In nonstationary environments, high-dimensional data streams have been generated unceasingly where the underlying distribution of the training and target data may change over time. These drifts are labeled as concept drift in the literature. Learning from evolving data streams demands adaptive or evolving approaches to handle concept drifts, which is a brand-new research affair. In this effort, a wide-ranging comparative analysis of concept drift is represented to highlight state-of-the-art approaches, embracing the last four decades, namely from 1980 to 2020. Considering the scope and discipline; the core collection of the Web of Science database is regarded as the basis of this study, and 1,564 publications related to concept drift are retrieved. As a result of the classification and feature analysis of valid literature data, the bibliometric indicators are revealed at the levels of countries/regions, institutions, and authors. The overall analyses, respecting the publications, citations, and cooperation of networks, are unveiled not only the highly authoritative publications but also the most prolific institutions, influential authors, dynamic networks, etc. Furthermore, deep analyses including text mining such as; the burst detection analysis, co-occurrence analysis, timeline view analysis, and bibliographic coupling analysis are conducted to disclose the current challenges and future research directions. This paper contributes as a remarkable reference for invaluable further research of concept drift, which enlightens the emerging/trend topics, and the possible research directions with several graphs, visualized by using the VOS viewer and Cite Space software

Improvement of manufacturing productivity and responsiveness through integrated process planning and authorizing

Autoriziranje se može opisati kao signal u okviru sustava koji određuje može li neki posao započeti ili ne. Dok se u push sustavima započimanje poslova programira, u pull sustavima oni se autoriziraju budući da se proizvodni sustavi pull tipa upravljaju downstream informacijama. Tradicionalno se procesi planiranja i autoriziranja smatraju odvojenim zadacima koji se izvršavaju u slijedu te se autoriziranje izvršava nakon što su napravljeni planovi za odvijanje procesa. Imajući u vidu činjenicu da su njihove funkcije obično komplementarne, veća se proizvodnost i reaktivnost mogu postići kad se one integriraju. Iako radovi koji se bave planiranjem i programiranjem integriranih procesa (IPPS) postaju sve popularniji, koliko mi znamo, nema rada koji razmatra integraciju planiranja i autoriziranja procesa. Cilj je ovoga rada upozoriti na integraciju planiranja i autoriziranja procesa predstavljanjem novog modela nazvanog planiranje i autoriziranje integriranih procesa (IPPA). Prvi rezultati primjene IPPA pokazuju da je primjereno vršiti takvo integriranje te onda i stjecati prednosti kroz tu integraciju. Mala poduzeća (SMEs) naročito mogu imati koristi od IPPA zbog toga što on slabo ovisi od (profesionalne) softverske podrške.Authorizing can be described as an endogenous system signal that determines whether a job release is allowed or not. Whereas job releases are scheduled in push systems, they are authorized in pull systems since pull-type manufacturing systems are controlled by downstream information. Traditionally, process planning and authorizing are regarded as separate tasks performed sequentially, where authorizing is implemented after process plans have been generated. In view of the fact that their functions are usually complementary, higher productivity and responsiveness can be achieved when they are integrated. Although the studies related with integrated process planning & scheduling (IPPS) are increasingly popular, according to our best knowledge, there is no study researching the integration of process planning and authorizing. This study aims to call attention to the integration of process planning and authorizing through presenting a novel model that is called integrated process planning & authorizing (IPPA). Primary implementation results of IPPA demonstrate that making the integration and hence gaining advantage through integration are pertinent. SMEs can especially get in favour of IPPA because of its slight dependence on (professional) software support

A trend-based patent alert system for technology watch

674-679This paper presents development of a trend-based patent alert system (PAS) to find out current trends in patents on industrial technologies. Patent count data based on number of patents filed in specified duration is considered an indicator to define current trend. PAS retrieves data of associated patent counts using extended markup language (XML). Trend extraction algorithm is developed based on linear regression analysis of patent data. Implementation of PAS on real data of textile technologies extracted from online patent database search spaces detected realistic trends for making policy decision on existing technology upgradation and research planning

Patenting activities in Turkey: The case of the textile industry

Turkey has made considerable progress over the past decade in transforming its economy into a global market economy. This transformation facilitates its integration into the European Union (EU) through the membership negotiations. In this context, several reforms including economic and technical regulations have been carried out. Some incentive programs have been introduced to enhance research and development (R&D) activities. As a consequence there has been an increasing trend in patenting activities. In the literature, there have been several studies which focus on the patenting activities of different countries within different scopes. In the same perspective, this paper presents two main categorical analyses for the patenting activities taking place in Turkey. The first category includes an overall analysis of patenting in Turkey. In this category, patent applications and the granted patents are both included to examine the distribution of domestic and foreign patents in various technological fields for the years between 1995 and 2006. In the second category, the textile and paper patents have been analyzed. The range of the data for this category has also been expanded by the inclusion of the patent applications received between 1980 and 2006. For both of the categories, the "International Patent Classification" (IPC) system has been employed to assess the current status of technology in Turkey. The country origins and the technology classes of the applications have been presented. The general picture of patenting activities in Turkey, as well as that of the specific textile industry in Turkey, has been drawn.Turkish patenting activities Textile patenting Turkey International Patent Classification (IPC) Technology distribution

A Classification Model for Predicting Fetus with down Syndrome - A Study from Turkey

The triple test is a screening test (blood test) used to calculate the probability of a pregnant woman having a fetus that has a chromosomal abnormality like Down Syndrome (DS). AFP (Alpha-Fetoprotein), hCG (Human Chorionic Gonadotropin), and uE3 (Unconjugated Estriol) values in the blood sample of pregnant women are computed and compared with the similar real records where the outputs (healthy fetus or a fetus with DS) are actually known. The likelihood of the indicators is used to calculate the probability of having a fetus with chromosomal abnormality like DS. However, high false positive rate of the triple test has been a problematic issue. One of the reasons of the high false positives is the differences in the norm values of indicators for the pregnant women from different geographical regions of a country. We use 81 patient records retrieved from Sahinbey Training and Research Hospital of Gaziantep University; Turkey. In our study, nine different classification algorithms were trained based on triple test indicators. Multilayer perceptron outperformed with 94.24% detection rate and 13% false positive rate. The multilayer perceptron can predict the outcome of triple test with a high level of accuracy and fewer patients are suggested for amniocentesis. This study is the first study using the MLP model for Turkish triple test data. Regional MLP models can eliminate the bias due to local biological differences

Clustering entrepreneurial and ınnovative universities in turkey according to their relevance to ındustry 4.0

Industry 4.0 differentiates production and business models through connecting embedded system, production technologies, and smart production processes. Preparing the young generation to this change is a challenge for higher education. In this study, the adaptation of the entrepreneurial and innovative universities in Turkey to Industry 4.0 is linked with their relevance level to Industry 4.0. To represent the relevance level of universities, a cluster analysis is put forward. Three criteria, named as the number of academic publications related to Industry 4.0, the number of physical structures that facilitate the adaptation to Industry 4.0, and the number of events organized by the universities within the Industry 4.0 concept, were selected for the clustering analysis. To access the number of academic publications of universities, ISI Web of Science database was used. “Industry 4.0” and its components were used as keywords. Both the websites of the each university and Google search results were used to access the values of remaining two criteria. The obtained data were used for K-means clustering analysis. The optimal number of cluster was determined as five with the elbow method. It is thought that the results of the study could be used as an indicator for universities to determine their Industry 4.0 road maps.Keywords: Industry 4.0, Elbow method, K-means algorithm

Role of graduate theses on regional development

Universities are developing strategies to increase the contribution of their activities to their regional and national economy, so the importance of universities in regional development-oriented studies is increasing. In this study, the relationship between universities and the most competitive industries in their regions is analysed with the graduate theses of universities focusing on those industries. Twenty-six universities in Turkey, which are regularly included in seven Entrepreneurial-Innovative University Index (EIUI) rankings, and their regions were selected. The strongest and the most competitive sectors in the manufacturing industry of the selected regions were determined by the Balassa RCA Index and Foreign Trade Balance Index. The number of graduate theses related to those sectors is divided by the number of academicians, and a score is obtained. Universities are ranked according to this score. As a result, this ranking was compared with the EIUI rankings of the universities, and the similarities were interpreted

IMPROVEMENT OF MANUFACTURING PRODUCTIVITY AND RESPONSIVENESS THROUGH INTEGRATED PROCESS PLANNING AND AUTHORIZING

Authorizing can be described as an endogenous system signal that determines whether a job release is allowed or not. Whereas job releases are scheduled in push systems, they are authorized in pull systems since pull-type manufacturing systems are controlled by downstream information. Traditionally, process planning and authorizing are regarded as separate tasks performed sequentially, where authorizing is implemented after process plans have been generated. In view of the fact that their functions are usually complementary, higher productivity and responsiveness can be achieved when they are integrated. Although the studies related with integrated process planning & scheduling (IPPS) are increasingly popular, according to our best knowledge, there is no study researching the integration of process planning and authorizing. This study aims to call attention to the integration of process planning and authorizing through presenting a novel model that is called integrated process planning & authorizing (IPPA). Primary implementation results of IPPA demonstrate that making the integration and hence gaining advantage through integration are pertinent. SMEs can especially get in favour of IPPA because of its slight dependence on (professional) software support. Authorizing can be described as an endogenous system signal that determines whether a job release is allowed or not. Whereas job releases are scheduled in push systems, they are authorized in pull systems since pull-type manufacturing systems are controlled by downstream information. Traditionally, process planning and authorizing are regarded as separate tasks performed sequentially, where authorizing is implemented after process plans have been generated. In view of the fact that their functions are usually complementary, higher productivity and responsiveness can be achieved when they are integrated. Although the studies related with integrated process planning &amp; scheduling (IPPS) are increasingly popular, according to our best knowledge, there is no study researching the integration of process planning and authorizing. This study aims to call attention to the integration of process planning and authorizing through presenting a novel model that is called integrated process planning &amp; authorizing (IPPA). Primary implementation results of IPPA demonstrate that making the integration and hence gaining advantage through integration are pertinent. SMEs can especially get in favour of IPPA because of its slight dependence on (professional) software support.</p

Forty years of automated patent classification

The continuous development of technology increases the number of new inventions and thus the number of patents. Each new technology is assigned to one of the existing patent classes, otherwise, a new technology must be added to the patent classes. These processes support the development of automated patent classification methods and articles on this subject. For decades, studies have been conducted in the field of automatic patent classification. In this paper, the studies and pat ents published in this field have been evaluated using a bibliometric approach. The most referenced important studies on this subject are examined in detail, the analysis is detailed by making the pioneering authors of the field, journals, countries, assignees, etc., the focal point. The most recent developments in the field have been examined and evaluations have been presented regarding topics that are likely to be studied in the future