1,720,960 research outputs found
The latest trends in internet of things usage in smart homes: a systematic literature review
Get PDFThe Internet of Things (IoT) has recently developed very quickly. Equipped with increasingly mature information technology, especially for use in smart homes. This technology is integrated with IoT systems, which can now solve this problem. This paper helps discover the latest research trends and offers a broad perspective on what factors are used in intelligent housing by utilizing a systematic literature review (SLR). This article takes 2256 documents from Springer, IEEE, ACM, MDPI, ScienceDirect, Hindawi, IAES, and Google Scholar. 59 articles passed the specified exclusion and inclusion criteria. Furthermore, the new findings are that several research factors exist in smart homes, such as Artificial Intelligence (AI), Assistant Technology, Blockchain, IoT, energy-saving IoT, Network IoT, Robot IoT, and Security IoT. It is hoped that future research will provide insights to examine smart homes based on their factor
Machine learning in detecting and interpreting business incubator success data and datasets
Get PDFThis research contributes to creating a proposed architectural model by utilizing several machine learning (ML) algorithms, heatmap correlation, and ML interpretation. Several algorithms are used, such as K-nearest neighbors (KNN) to the adaptive boosting (AdaBoost) algorithm, and heatmap correlation is used to see the relationship between variables. Finally, select K-best is used in the results, showing that several proposed model ML algorithms such as AdaBoost, CatBoost, and XGBoost have accuracy, precision, and recall of 94% and an F1-score of 93%. However, the computing time the best ML is AdaBoost with 0.081s. Then, finally, the proposed model results of the interpretation of AdaBoost using select K-best are the best features “last revenue” and “first revenue” with k feature values of 0.58 and 0.196, these features influence the success of the business. The results show that the proposed model successfully utilized model classification, correlation, and interpretation. The proposed model still has weaknesses, such as the ML model being outdated and not having too many interpretation features. The future research might maximize with ML models and the latest interpretations. These improvements could be in the form of ML algorithms that are more immune to data uncertainty, and interpretation of results with wider data
Implementasi Raspberry Pi untuk membantu Klinik dan Pengembangan Website Klinik menggunakan Rapid Application Development
Full text linkOne of the Internet of Things (IoT) components is a microcontroller. One of the many microcontrollers is the Raspberry Pi. This component is often used because it is similar to a small computer. Many people use Rapid Application Development (RAD) in making web-based applications because it is considered very flexible and can iterate on the design and development section. There are several studies related to utilizing website development to help hospitals. However, the real problem is that the use of technology such as clinical information websites has not been widely used for small clinics. This is hampered by the location of the clinics, which are far from the urban center. This study has a goal to develop a website application with the help of a Raspberry Pi. This component works as a computer replacement medium (having wifi and a processor) applied to clinical LED TV because there is no computer to display it, and making the administration of the website itself tested by testing and evaluation using Black Box and User Acceptance Test (UAT). In testing and evaluation, it was found that 5 trials of Black Box testing got good results with all categories achieved. 76.13% of UAT results are included in the "Satisfied" category on the UAT test where the best result is "Very Satisfied". Furthermore, research has not focused on the actual application of IoT and needs to be studied more deeply in making IoT integrated with the websit
Message querying telemetry transfer on IoT applications to enhance technology: a systematic review
Get PDFMore things are connected to the Internet, making the internet of things (IoT) develop significantly. But IoT also has weaknesses in communication, one of which can be overcome by utilizing message querying telemetry transfer (MQTT) because there are too many benefits of MQTT. Because there have been many published studies regarding MQTT, this study aims to conduct a review utilizing preferred reporting items for systematic reviews and meta-analyses (PRISMA) on the application of MQTT in IoT applications to enhance technology. The results of using PRISMA were 57 papers selected from this process, which starts from the identification stage, screening, eligibility, and included. The last author found components that can be discussed to enhance technology. In this discussion, several topics will be used to enhance technology, such as; smart technology, security, MQTT performance for IoT, monitoring systems, MQTT comparison, enhancement or optimization. This paper is expected to help academia and industry related to MQTT research that can help IoT to enhance technology quality
Smart farming based on IoT to predict conditions using machine learning
Get PDFSmart farming is a type of technology that utilizes the internet of things (IoT) to provide information on agricultural and environmental conditions as well as perform automation. Some of these ecological conditions can be used and analyzed in machine learning (ML) data management. This study focuses on utilizing ML algorithms to find the best prediction; typically used methods include linear regression, decision tree (DT), random forest (RF), and extreme gradient boosting (XGBoost). In the application of smart farming, research on IoT and artificial intelligence (AI) is still uncommon since most IoT cannot make predictions like AI. Because basically, some IoT can't make predictions as AI does. In this Study, predictions were made by looking at the regression results in the form of root mean square error (RMSE) and absolute error. The results show a strong and weak correlation between features (positive or negative). The best prediction results are obtained by XGBoost when predicting temperature (RMSE 6.656 and absolute error 3.948) and (soil moisture 17.151 and absolute error 11.269). However, using different parameters (RMSE RF and absolute error DT) on RF and DT resulted in good and distinct results. Linear regression, on the other hand, produced unsatisfactory and poor result
EVALUASI MULTI-ANTENNA BERBASIS PENDEKATAN GLRT PADA COGNITIVE RADIO
Full text linkKebutuhan terhadap teknologi nirkabel semakin meningkat, Sementara itu ketersediaan spektrum frekuensi mendekati batasnya. Masalah ini dapat diatasi dengan pemanfaatan spektrum yang masimal. Salah satu teknologi yang dapat memaksimalkan ketersediaan spektrum adalah cognitive radio. Spektrum sensing adalah salah satu komponen yang ada di cognitive radio (CR). Algoritma sensing yang biasanya digunakan adalah deteksi energi. Karena ada beberapa kelemahan pada deteksi energi, yang mana sangat sensitif terhadap daya noise yang tidak menentu. Sehingga dibentuk metode baru berdasarkan pendekatan Generalized likelihood ratio tests (GLRT). Di paper ini analisis spektrum sensing pada cognitive radio berbasis pendekatan GLRT dan deteksi energi. Primary User (PU) menggunakan space-time block coding (STBC) dan kanal menggunakan Geometrically-Based Single Bounce (GBSB). Hasil evaluasi menunjukan beberapa masalah yang mempengaruhi kinerja pendekatan GLRT seperti; jumlah antenna penerima (nR), Skema MIMO STBC, bentuk kanal GBSB, Terakhir algoritma pendekatan GLRT dapat menyelesaikan masalah deteksi energi..Abstract—Wireless traffic in fact is mount, while spectrum already shared. This problem can be solve using maximizing utilization band spectrum. One of technology that can maximizing spectrum is cognitive radio. Spectrum sensing is one of component in cognitive radio (CR). The sensing algorithm that usually used is energy detector. Because there is a shortage in energy detector, which is very sensitive to noise power uncertainty. Then formed a new method based on GLRT approach. In this paper analysis on cognitive radio spectrum sensing using GLRT Approach and energy detector. The signal space-time block coding (STBC) as a signal primary user (PU) and channel using Geometrically-Based Single Bounce (GBSB). Evaluation results showed that there are several issue that influence the algorithm signal GLRT approach such as; Number of Antenna Receiver (nR), MIMO STBC scheme, Channel shape GBSB, Last algorithm GLRT approach can solve energy detector problem
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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