Toward a More Robust Home Automated System

2022 ◽  
pp. 825-841
Author(s):  
Segun Aina ◽  
Samuel Dayo Okegbile ◽  
Adeniran Ishola Oluwaranti ◽  
Oghenerukome Brenda Okoro ◽  
Tayo Obasanya
Keyword(s):  
Language Processing ◽  
Ease Of Use ◽  
Automated System ◽  
Complete Control ◽  
Human Voice ◽  
C Programming Language ◽  
C Programming ◽  
Natural Language Processing Tool ◽  
Reasonable Limit ◽  
The Mean

The work reported in this article developed a home automated system using voice activation. This is with a view to providing users complete control over electrical appliances using simple easy to remember voice commands on an Android mobile device. This work was implemented using the Atmega 328 microcontroller, Relays and a Wi-Fi shield. The human voice is first converted to text using a Natural language processing tool from the Android based application. Thereafter, the text is sent over the internet via the PubNub to the microcontroller. The Atmega 328 microcontroller was programmed on an Arduino using C programming language and the Android based application was developed using Android Software Development Kit. Results obtained from the testing show that the implemented system achieves the mean scores of 8, 7.6, and 7.2 for ease of use, learnability and effectiveness respectively justifying the fact that the system is capable of controlling appliances by changing their state (ON/OFF) from remote a location with a response time within the reasonable limit.

Toward a More Robust Home Automated System

2019 ◽  
Vol 14 (3) ◽  
pp. 78-92
Author(s):  
Segun Aina ◽  
Samuel Dayo Okegbile ◽  
Adeniran Ishola Oluwaranti ◽  
Oghenerukome Brenda Okoro ◽  
Tayo Obasanya
Keyword(s):  
Language Processing ◽  
Ease Of Use ◽  
Automated System ◽  
Complete Control ◽  
Human Voice ◽  
C Programming Language ◽  
C Programming ◽  
Natural Language Processing Tool ◽  
Reasonable Limit ◽  
The Mean

The work reported in this article developed a home automated system using voice activation. This is with a view to providing users complete control over electrical appliances using simple easy to remember voice commands on an Android mobile device. This work was implemented using the Atmega 328 microcontroller, Relays and a Wi-Fi shield. The human voice is first converted to text using a Natural language processing tool from the Android based application. Thereafter, the text is sent over the internet via the PubNub to the microcontroller. The Atmega 328 microcontroller was programmed on an Arduino using C programming language and the Android based application was developed using Android Software Development Kit. Results obtained from the testing show that the implemented system achieves the mean scores of 8, 7.6, and 7.2 for ease of use, learnability and effectiveness respectively justifying the fact that the system is capable of controlling appliances by changing their state (ON/OFF) from remote a location with a response time within the reasonable limit.

An Approach to Clustering of Text Documents Using Graph Mining Techniques

2017 ◽  
Vol 4 (1) ◽  
pp. 38-55 ◽  
Author(s):  
Bapuji Rao ◽  
Brojo Kishore Mishra
Keyword(s):  
Programming Language ◽  
Graph Mining ◽  
Human Interaction ◽  
Automated System ◽  
Text Documents ◽  
New Approach ◽  
C Programming Language ◽  
C Programming ◽  
Word Relation ◽  
The Given

This paper introduces a new approach of clustering of text documents based on a set of words using graph mining techniques. The proposed approach clusters (groups) those text documents having searched successfully for the given set of words from a set of given text documents. The document-word relation can be represented as a bi-partite graph. All the clustering of text documents is represented as sub-graphs. Further, the paper proposes an algorithm for clustering of text documents for a given set of words. It is an automated system and requires minimal human interaction for the clustering of text documents. The algorithm has been implemented using C++ programming language and observed satisfactory results.

scholarly journals GerminaQuant: a new tool for germination measurements

2015 ◽  
Vol 37 (3) ◽  
pp. 248-255 ◽  
Author(s):  
Felipe Rafael Ferreira Marques ◽  
Marcos Vinicius Meiado ◽  
Natália Maria Corte Real de Castro ◽  
Mariana Lins de Oliveira Campos ◽  
Keila Rêgo Mendes ◽  
...  
Keyword(s):  
Scientific Community ◽  
Seedling Emergence ◽  
Computer Software ◽  
Research Community ◽  
Ease Of Use ◽  
Output Data ◽  
C Programming Language ◽  
C Programming ◽  
User Friendly ◽  
The Web

Abstract:The seed technologies related with germination and seed research has provided unprecedented opportunities for the biologic research community. Researchers require such information to rapidly determine the speed of seedling emergence. However, an immense amount of data must be analyzed to achieve this goal. In this paper, we introduce a computer software designed for broad use to facilitate the understanding of germination processes and their analysis. GerminaQuant 1.0 was written in the C++ programming language and presents a user-friendly interface. The accuracy of the software was tested using fifty different matrices, whose output values were compared with other spreadsheets available on the web. With data analysis, we showed that the GerminaQuant is capable of generating mathematical calculations with extreme accuracy, besides have a good performance and wide ease of use in any kind of computer. In addition, the new software has been tested by at least eighty users, which compared functionality, designer and accuracy of the output data. In all variables, the GerminaQuant was evaluated as superior compared to other spreadsheets available on the web. The full GerminaQuant package (for Windows(r), Macintosh(r) and Linux(r)) is freely available to the scientific community and can be easily downloaded from the website (http://www.ufpe.br/lev).

Requirements to Class Model via SBVR

2019 ◽  
Vol 10 (2) ◽  
pp. 70-87
Author(s):  
Murali Mohanan ◽  
Imran Sarwar Bajwa
Keyword(s):  
Natural Language ◽  
Language Processing ◽  
Unified Modeling Language ◽  
Object Oriented ◽  
Automated System ◽  
Parts Of Speech ◽  
Natural Language Processing Tool ◽  
The Cost ◽  
Requirement Specifications ◽  
Class Models

A user's software requirements are represented in natural language or a speech such as English. Translating these requirements into the object-oriented models is a tough process for designers. This article proposes a neoteric approach to generate Unified Modeling Language (UML) class models instantly from software requirement specifications (SRS). Here the authors make use of the Open Natural language processing tool (OpenNLP) for lexical analysis and to generate the necessary parts of speech (POS) tags from these requirement specifications. Then, the Semantics of Business Vocabulary and Rules (SBVR) standard is used to extract the object-oriented elements from the natural language (NL) processed SRS. From this, the authors generate UML class models. The prototype tool can generate accurate models in less time. This automated system for designing object-oriented models from SRS reduces the cost and budget for both the designers and the users.

scholarly journals IndoorPlant: A Model for Intelligent Services in Indoor Agriculture Based on Context Histories

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1631
Author(s):  
Bruno Guilherme Martini ◽  
Gilson Augusto Helfer ◽  
Jorge Luis Victória Barbosa ◽  
Regina Célia Espinosa Modolo ◽  
Marcio Rosa da Silva ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Mean Square Error ◽  
Ease Of Use ◽  
Coefficient Of Determination ◽  
Square Root ◽  
Mean Square ◽  
Use Context ◽  
The Mean ◽  
Acceptance Model ◽  
The Internet Of Things

The application of ubiquitous computing has increased in recent years, especially due to the development of technologies such as mobile computing, more accurate sensors, and specific protocols for the Internet of Things (IoT). One of the trends in this area of research is the use of context awareness. In agriculture, the context involves the environment, for example, the conditions found inside a greenhouse. Recently, a series of studies have proposed the use of sensors to monitor production and/or the use of cameras to obtain information about cultivation, providing data, reminders, and alerts to farmers. This article proposes a computational model for indoor agriculture called IndoorPlant. The model uses the analysis of context histories to provide intelligent generic services, such as predicting productivity, indicating problems that cultivation may suffer, and giving suggestions for improvements in greenhouse parameters. IndoorPlant was tested in three scenarios of the daily life of farmers with hydroponic production data that were obtained during seven months of cultivation of radicchio, lettuce, and arugula. Finally, the article presents the results obtained through intelligent services that use context histories. The scenarios used services to recommend improvements in cultivation, profiles and, finally, prediction of the cultivation time of radicchio, lettuce, and arugula using the partial least squares (PLS) regression technique. The prediction results were relevant since the following values were obtained: 0.96 (R2, coefficient of determination), 1.06 (RMSEC, square root of the mean square error of calibration), and 1.94 (RMSECV, square root of the mean square error of cross validation) for radicchio; 0.95 (R2), 1.37 (RMSEC), and 3.31 (RMSECV) for lettuce; 0.93 (R2), 1.10 (RMSEC), and 1.89 (RMSECV) for arugula. Eight farmers with different functions on the farm filled out a survey based on the technology acceptance model (TAM). The results showed 92% acceptance regarding utility and 98% acceptance for ease of use.

scholarly journals Maxillary Sinus Augmentation with Decellularized Bovine Compact Particles: A Radiological, Clinical, and Histologic Report of 4 Cases

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Antonio Scarano
Keyword(s):  
Postoperative Period ◽  
Compact Bone ◽  
Automated System ◽  
Graft Material ◽  
Sinus Augmentation ◽  
Endosseous Implants ◽  
Implant Placement ◽  
Posterior Maxilla ◽  
The Mean ◽  
Vertical Height

Background. One of the most problematic regions for endosseous implants is the posterior maxilla, not only having poor bone density, but also lacking adequate vertical height as a result of sinus pneumatization. The purpose of the present study was a radiologic, histological, and histomorphometrical evaluation, in humans, of specimens retrieved from sinuses augmented with decellularized bovine compact particles, after a healing period of 6 months. Methods. Four patients, with atrophic resorbed maxillas, underwent a sinus lift augmentation with decellularized bovine compact bone from bovine femur. The size of the particles used was 0.25–1 mm. A total of four grafts and 5 biopsies were retrieved and processed to obtain thin ground sections with the Precise 1 Automated System. Results. The mean volume after graft elevation calculated for each of the 4 patients was 2106 mm3 in the immediate postoperative period (5–7 days), ranging from 1408.8 to 2946.4 mm3. In the late postoperative period (6 months) it was 2053 mm3, ranging from 1339.9 to 2808.9 mm3. Histomorphometry showed that newly formed bone was 36±1.6% and marrow spaces were 34±1.6%, while the residual graft material was 35±1.4%. Conclusion. In conclusion, based on the outcome of the present study, Re-Bone® can be used with success in sinus augmentation procedures and 6 months are considered an adequate time for maturation before implant placement.

scholarly journals Application of digital image processing in slope surface runoff velocity analysis under simulated rainfall conditions

2017 ◽  
Vol 49 (4) ◽  
pp. 1304-1312
Author(s):  
Tiexiong Gong ◽  
Yuanjun Zhu
Keyword(s):  
Image Processing ◽  
Surface Runoff ◽  
Lateral Diffusion ◽  
Ease Of Use ◽  
Velocity Analysis ◽  
Slope Gradient ◽  
Tracer Method ◽  
Dye Tracer ◽  
The Mean ◽  
High Runoff

Abstract To have accurate runoff velocity, there is need to improve dye tracer method for estimating surface runoff velocity. This can enhance the calculations of relevant hydrologic parameters that will lead to a better understanding of hydrological processes and soil erosion. In this study, an integrated dye tracer and image processing method (IPV) and dye tracer method (AOV), respectively, were used to estimate runoff velocity under three slope gradients (5°, 10°, and 15°) and three slope positions (up-slope, mid-slope, and down-slope). The results showed more variation in runoff velocity under IPV than AOV. Both IPV and AOV were positively correlated with slope gradient. IPV values were close to AOV ones for slope gradients ≤5°, but were significantly different for slope gradients ≥10°. The mean AOV value was 10.6% higher than that of IPV. Regression analysis showed that compared with AOV, IPV overestimated and underestimated runoff under low and high runoff velocity conditions, respectively. The use of image processing in IPV was advantageous because of its ease of use with fewer artificial errors and its suitability for lateral diffusion of runoff. Irrespectively, additional studies are needed to verify and/or improve further the use of this method in runoff velocity analysis.

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