scholarly journals Desain Finite State Automata Untuk Merancang Vending Automata Logam Mulia

2021 ◽  
Vol 8 (2) ◽  
pp. 113
Author(s):  
Susanto Susanto ◽  
Venny Yulianty ◽  
Bobby Suryo Prakoso ◽  
Suwanda Suwanda ◽  
Windu Gata ◽  
...  

Abstrak: Menabung logam mulia merupakan investasi yang dianggap safe haven, ditengah era modern saat ini menabung logam mulia dapat dilakukan dengan cara dicicil, sedangkan yang menjadi masalahnya adalah kekhawatiran ketika fisik logam mulia tidak dapat ditarik fisiknya yang membuat potensi fraud atau investasi bodong yang sedang marak saat ini, untuk mengatasi masalah itu penjualan logam mulia dapat dikembangkan menjadi lebih menarik dengan vending machine, untuk memperdalam pemahaman mengenai salah satu model komputasi yang mendasar dan pengenalan Internet of Things (IoT), desain vending machine ini akan menggunakan metode finite state automata (FSA). Dengan desain finite state automata, penelitian ini telah menghasilkan desain vending machine logam mulia berbasis Internet of Things (IoT) dari cara login ke vending machine sampai fisik logam mulia dapat diterima. Produk penjualan logam mulia dengan menggunakan vending machine ini diharapkan dapat menjangkau masyarakat lebih luas untuk berinvestasi, khususnya logam mulia.   Kata kunci: Internet of Things, logam mulia, vending machine   Abstract: Saving gold is an investment that is considered a safe haven, in the midst of today's modern era saving gold can be done in installments, while the problem is the concern when the physical gold cannot be physically withdrawn which creates the potential for fraud or fraudulent investments that are currently rampant. to overcome this problem the sale of precious metals can be developed to be more attractive with vending machines, to deepen understanding of one of the fundamental computing models and the introduction of the Internet of Things (IoT), this vending machine design will use the finite state automata (FSA) method. With the design of finite state automata (FSA), this research has resulted in the design of a gold vending machine based on the Internet of Things (IoT) from how to login to the vending machine until the gold is physically acceptable. The product selling gold using vending machines is expected to reach a wider audience to invest, especially gold.   Keywords: Internet of Things, precious metals, vending machine

Author(s):  
Robert Cerna Duran ◽  
◽  
Brian Meneses Claudio ◽  
Alexi Delgado

The increase in garbage production today is due to the exponential growth of the population worldwide, due to the fact that thousands of tons of garbage are generated daily around the world, but the mismanagement that gives them has become an environmental problem since 33% of all the garbage generated is not recycled, for that reason it is estimated that within the next three decades the amount of waste worldwide will increase to 70%. That is why in the present research work it is proposed to make an intelligent system based on the Internet of Things (IoT) that allows monitoring the garbage containers in real time representing with percentages the state of these containers and these can be collected in time by garbage trucks, and thus avoid the increase of garbage in the streets and the various types of problems that these would cause. As a result, it was obtained that the System does comply with the established conditions because it allows to monitor in real time representing by percentages the state of the garbage container, which indicates 40% as almost full and 80% indicates that it is already available for collection. Finally, it is concluded that using the Garbage Container Monitoring System will allow to better optimize the collection process and, in addition, the problems that are usually perceived today due to the amount of garbage that are registered in the streets will decrease. Keywords-- Internet of Things; Intelligent system; Real time; Environmental Problem; Monitoror; Percentage.


Author(s):  
Derrick Ntalasha ◽  
Renfa Li ◽  
Yongheng Wang

In the Internet of Things (IoT) paradigm, context state information plays a critical role in advancing the development of adaptive pervasive applications. Pervasive services and context-aware computing are emerging as the next computing paradigms in which infrastructure and services are seamlessly available anywhere, anytime, and in any format. The IoT paradigm raises new opportunities and demands on the underlying systems, in particular, the need to have systems that are adaptive and context-aware using context state information. In this paper, we introduce a new adaptive context state design technique to model context-aware applications that are sensitive to context state information changes. Each context change event is captured, interpreted and reacted to so that applications and users use only the functionality and adaptability needs that are solutions to their needs. The solution is modeled using Finite State Machine (FSM) and semantic localization so that context state information within the IoT paradigm is aligned to events. The semantic localization process precisely estimates the proximity location of the user along with the quality of context (QoC) attributes using the Bluetooth cell-based approach. This semantic information is useful in determining and inferring the user activities in a location. The QoC attributes are used to determine the confidence of the user location and range of the Bluetooth beacons within the IoT domain. This will, in turn, be used to determine whether the user is in the location or not. The alignment technique in our model represents the proper and new solution concerning functionality and adaptability needs expressed by other user applications in the IoT environment. The experimental scenario results indicate that a user can continue to enjoy their daily activities while the IoT application adapts continuously to their changing needs and notifying service providers of the changes according to the events of the user.


Author(s):  
Indrani Palanisamy

  Internet of things (IoT) is new technology aimed to achieve the goals of daily life because every transaction via the Internet and we have to live with it. The aim of this study is to enhance the security and safety objectives to virtually monitor the organizations before the problem occurs as a preventive measure by implementing new monitoring technology using multiple sensors. Internet of things is a new technology in security and safety environment. In this study the implementation of this new technique will focus on the Office of Security and Safety Affairs, which allows them to monitoring through the screen about the work environment in the company and inform the management about the incident such as fire or suffocation in a room by sending an email and also by notification in the screen. In each room, we have implemented sensors and through which the data are sent to the servers. This technological development contributes to the organizational growth by controlling any remote device and to take quick decisions in an unforeseen event and provide proper protection during such occurrence. This technological evolution in the name of the Internet of things (IoT) in our regular work environment helps to increase remote monitoring and roaming capabilities. This exploratory study based solution is implemented to use new things in the raspberry pi3 device and the sensor that is connected through the internet. This Sensor will monitor occurring in their location and the data is sent to the server in order to monitor security and safety of the organization from control Centre located remotely. This technology also enables communication with the Office of Security and Safety notified about any event and can send an email alert or notification through their Monitoring screen. This study is an innovative advent with regard to safety and security, helping to communicate with the human and the network. Internet of Things is nearly the things that can control remotely over the internet. This technology helps companies that need the work environment to integrate with the Internet of Things, which will help them through it in safety and security matters.     Keywords: Internet of Things (IoT), Remote Monitoring, Safety & Security, Sensors.


2017 ◽  
Vol 2 (1) ◽  
pp. 102-112
Author(s):  
Shevchenko A. ◽  
◽  
Puzyrov S.

The concept of digital transformation is very relevant at the moment due to the epidemiological situation and the transition of the world to the digital environment. IoT is one of the main drivers of digital transformation. The Internet of Things (IoT) is an extension of the Internet, which consists of sensors, controllers, and other various devices, the so-called "things," that communicate with each other over the network. In this paper, the development of hardware and software for the organization of fog and edge computing was divided into three levels: hardware, orchestration, application. Application level also was divided into two parts: software and architectural. The hardware was implemented using two versions of the Raspberry Pi: Raspberry Pi 4 and Raspberry Pi Zero, which are connected in master-slave mode. The orchestration used K3S, Knative and Nuclio technologies. Technologies such as Linkerd service network, NATS messaging system, implementation of RPC - GRPC protocol, TDengine database, Apache Ignite, Badger were used to implement the software part of the application level. The architecture part is designed as an API development standard, so it can be applied to a variety of IoT software solutions in any programming language. The system can be used as a platform for construction of modern IoT-solutions on the principle of fog\edge computing. Keywords: Internet of Things, IoT-platform, Container technologies, Digital Twin, API.


Author(s):  
Opeoluwa Tosin Eluwole ◽  
Mike Oluwatayo Ojo

Fascinating technologies, such as software defined networking (SDN), network function virtualization (NFV) and mobile edge computing (MEC) among others, have introduced software-enabling capabilities to telecommunications, mobile and wireless communications. To depict this systemic evolution, various terminologies, such as system cloudification, network programmability, advanced computing and most popularly, softwarization, have been used by numerous scholars. Softwarization is now becoming a fully established phenomenon, especially in the new era of the rapidly evolving Internet of Things (IoT), artificial intelligence (AI) and the looming 5G technology. Away from the research and development (R&D) focus on the technological capabilities of softwarization, this article highlights the main stakeholders in softwarization and underlines a tripartite influence of the systemic evolution i.e. technical, social and economic impacts, all of which will be vital in ensuring a sustainable 5G technology and beyond.


2021 ◽  
Vol 11 (2) ◽  
pp. 425-436
Author(s):  
Abdulkerim AYDIN

The aim of this study is to determine the fields where the Internet of Things (IoT) technology is used in education and to investigate its effects on these fields. In this scope, the fields where IoT studies are carried out in education, the effects of these studies on education and the technologies used in these studies have been examined. In this study, which used document analysis method; the searches were conducted in the “Web of Science” and “ERIC” databases with the keywords “internet of things” and “education”. It was noted that the studies selected during the searching included an IoT application for education. In this context, 748 studies have been reached until May 2020. Since 617 of these studies did not meet the specified criteria, the remaining 131 studies were analyzed. As a result of the analysis; it has been observed that IoT is used more in ubiquitous learning, engineering education, e-learning, laboratory practices. In addition, IoT in education; It is seen that it has the potential to increase access to information from anywhere, student-content interaction, and distance interaction of students to application environments in educational environments. It is noteworthy that in the applications made, the development in sensors, modules, smart devices and network infrastructure is benefited the most.


2015 ◽  
Vol 734 ◽  
pp. 340-344
Author(s):  
Zhen Lei Yang ◽  
Ling Yun Zhao ◽  
Liang Tian Gu

In the paper the author put forward the design of the coffee vending machines based on the technology of internet of things and its remote management system, which is aiming at the present problems, such as the high administrative cost and the difficulties in data analysis. This design not only makes the sales and supply information available, it can survey this information into cloud corner through GPRS as well.


2019 ◽  
Vol 20 (1) ◽  
pp. 67-72
Author(s):  
Khairul Fikri ◽  
Umi Fadlillah

In this modern era, many people save valuable items in their house, such as assets (jewelry and money) and important files. Therefore, saving box is the right and effective choice for protecting important goods if robbery or fire occurs someday. This final project is designing a saving box using different system than the general. The design of this system consists of several parts such as Wemos, D1 R1 (ESP8266), telegram, temperature sensor (DS18B20), keypad, power supply, android, buzzer and LCD. In this design, users are able to access (open) the saving box easily, such as entering the code into the keypad and controlling the saving box through an Android-based smartphone with the internet of things method, therefore by this method users can enter the code in any range both far or near. Then if a safe box gets robbery, the system will send a message to user. Meanwhile if fire occurs, the temperature sensor will detect it and also send a message to user. This design is expected to fulfill user’s need of a safer saving box.


2020 ◽  
Vol 10 (2) ◽  
pp. 106-112
Author(s):  
Ahmed Burhan Mohammed

    One of the most important topics in the last decade is the Big Data (BD) and how to link it and benefit from its consumption in different fields, included as the introduction in this research analysis of the BD belonging to devices of the Internet of Things. The concept of managing objects and exploring devices is connected to the Internet and sensors deployed in the world, all these devices are pumping a lot of data through the Internet of Things (IoT) into the world. In order to make the right decisions for people and things, BD using data mining techniques and machine language algorithms help make decisions. The Internet of Things that insert large amounts of data need to be studied, analysed and disseminated in order to access valuable, useful and bug-free information for the purpose of making the right decision and avoiding problems. In this paper, two clustering algorithms simple K-means and self-organising map (SOM) in IoT are presented. Next, comparing the clustering models’ output in the IoT data set that improved the SOM is better than K-means, but it is slower in creating the model.   Keywords: Internet of things (IoT), big data, machine learning, filtered cluster, K-means, SOM.    


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