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The paper reviews the efforts to compose SOAP, non-SOAP and non-web services. Traditionally efforts were made for composite SOAP services, however, these efforts did not include the RESTful and non-web services. A SOAP service uses structured exchange methodology for dealing with web services while a non-SOAP follows different approach. The research paper reviews the invoking and composing a combination of SOAP, non-SOAP, and non-web services into a composite process to execute complex tasks on various devices. It also shows the systematic integration of the SOAP, non-SOAP and non-web services describing the composition of heterogeneous services than the ones conventionally used from the perspective of resource consumption. The paper further compares and reviews different layout model for the discovery of services, selection of services and composition of services in Cloud computing. Recent research trends in service composition are identified and then research about microservices are evaluated and shown in the form of table and graphs.


Author(s):  
Nurshahrily Idura Ramli ◽  
Mohd Izani Mohamed Rawi ◽  
Fatin Nur Nabila Rebuan

Today, in the realm of Industry 4.0, vastly diverse Internet of Things (IoT) technology are integrated everywhere, not to mention included in academic programs in schools and universities. Domain ratio of the final year projects in Universiti Teknologi Mara exposes a staggering hype in IoT as compared to other domains despite not having IoT included in any of the courses. Meanwhile, to fulfill the needs of the student in exploring this technology, an integrated IoT learning platform is developed. It integrates an IoT smart home model and a web-based interface as a learning platform to inspire hands-on learning for the students. The raspberry pi, motion sensor, analog gas sensor, atmospheric sensor, ultrasonic proximity sensor, and rain detector sensor are integrated together in a Lego-built smart home model where its connectivity and readings are displayed in a simple web interface to enable and inspire learning. A manual to set up the entire model is also prepared as a guide for students to set up and further explore the functionalities and operabilities of “things”.


2022 ◽  
Vol 20 (2) ◽  
pp. 191-197
Author(s):  
Ricardo Conde Camillo da Silva ◽  
Marcos Paulo Oliveira Camargo ◽  
Matheus Sanches Quessada ◽  
Anderson Claiton Lopes ◽  
Jacinto Diassala Monteiro Ernesto ◽  
...  

Author(s):  
Murizah Kassim ◽  
Fadila Lazim

<span>This paper presents an intelligent of single axis automatic adaptive photovoltaic solar module. A static solar panel has an issue of efficiency on shading effects, irradiance of sunlight absorbed, and less power generates. This aims to design an effective algorithm tracking system and a prototype automatic adaptive solar photovoltaic (PV) module connected through </span><span>internet of things (IoT). The system has successfully designated on solving efficiency optimization. A tracking system by using active method orientation and allows more power and energy are captured. The solar rotation angle facing aligned to the light-dependent resistor (LDR) voltage captured and high solar panel voltage measured by using Arduino microcontroller. Real-time data is collected from the dynamic solar panel, published on Node-Red webpage, and running interactive via android device. The system has significantly reduced time. Data captured by the solar panel then analyzed based on irradiance, voltage, current, power generated and efficiency. Successful results present a live data analytic platform with active tracking system that achieved larger power generated and efficiency of solar panel compared to a fixed mounted array. This research is significant that can help the user to monitor parameters collected by the solar panel thus able to increase 51.82% efficiency of the PV module.</span>


2022 ◽  
Vol 135 ◽  
pp. 108513
Author(s):  
Daren M. Carlisle ◽  
Sarah A. Spaulding ◽  
Meredith A. Tyree ◽  
Nicholas O. Schulte ◽  
Sylvia S. Lee ◽  
...  

2022 ◽  
Vol 5 (1) ◽  
pp. 50-55
Author(s):  
A. Herliah ◽  
Yusring Sanusi Baso ◽  
Healthy Hidayanty ◽  
Syafruddin Syarif ◽  
Aminuddin Aminuddin ◽  
...  

Obesity is a disorder characterized by excessive accumulation of body fat. The nutritional impact is more than just disturbing the aesthetics of appearance. Obesity (overweight and overweight) is a new chronic disorder that soon becomes a global pandemic that is quite difficult to control. To improve the knowledge, attitudes, and Practice of Adolescent Girls about obesity. Use Pre-Experiment with one group pre-test and post-test design. Sampling technique using purposive sampling and obtained a total of 47 respondents. The research was conducted in the Senior High School of 12 Makassar in September-October 2021. Data analysis using the McNemar test. The results of statistics showed that there is an influence on the use of the web-based   She Smart education model of the knowledge and attitudes of Adolescent Girls with a value of p-value=0.008 (p<0.05). And there was no influence on the use of the web-based   She Smart education model on the Practice of Adolescent Girls with a p-value of 0.453 (p>0.05). There is an influence on providing obesity education before and after intervention through web-based obesity education media in improving knowledge and attitudes but does not affect the Practice of adolescent girls in overcoming the problem of obesity.


2022 ◽  
Vol 3 (1) ◽  
pp. 61-66
Author(s):  
Guiamarudin S Daud ◽  
Mohaymin A. Maguid

The study describes the Secured CCSPC Web-Based Student Clearance System's use and predicted effects. Hypertext Transfer Protocol (HTTP), Hypertext Preprocessor (PHP), Sublime editor, Bootstrap, and MySQL as the database tool were used to create the clearance system. This system includes two-factor authentication for students and designated offices. In the clearance system, a Secure Socket Layer (SSL) for data transit, as well as a software firewall and anti-SQL Injection attack, were offered and implemented. The CCSPC Portal was linked to the web-based student clearance system and Web API, with Web API acting as a bridge between SIMone and the clearance system. SIMone's role is to offer just a limited amount of information on the web-based clearing, such as designated office operations, account status from the Cashier, and student profiles from the Registrar. Students and the approved offices in charge of signing the student clearance include the Graduating Class Association (GCA) Treasurer, Laboratory Custodian, Cashier, Librarian, Academic Related Services (ARS), SPEED Director, Department Chairperson, College Dean, and the Registrar. The ISO 9126-1 International Standard Tool for Software Evaluation, on the other hand, was utilized in the CCSPC beneficiaries' surveys to test the system's effectiveness and reliability.


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