Analisis Perancangan Prototype Internet of Things (Iot) Pada STMIK Neumann

The use of computers in the future can dominate human work and defeat human computing such as controlling electronic equipment remotely using internet media, Internet of Things (IoT) allows users to manage and optimize electronics and electrical equipment using the internet. This makes these machines work alone and humans can enjoy the work of these machines without having to bother managing them. The workings of the Internet of Things (IoT) are quite easy. Every object must have an IP Address. After an object has an IP address and is connected to the internet, the sensor is also installed. Currently at STMIK NEUMANN has complete facilities for each classroom and lab room where air conditioners, lamps and other electronic devices are still manually controlled so that staff sometimes forget to turn off air conditioners, lights and other electronic devices. Therefore, by utilizing the internet network at STMIK NEUMANN the author tries to make a simulation of the Internet of Things (IoT) to make it easier for staff to control electronic devices in STMIK NEUMANN

Internet of Things for Customer Relationship Management (CRM) Software: Opportunities and Benefits

Customer relationship management software has many advantages for different businesses and economic enterprises. Today, the Internet has become the main tool for information exchange, business, communication, and an integral part of daily life. Internet technologies have witnessed fundamental changes in the way of interaction over a decade. With new technology, objects are also connected to the Internet and with humans; Intelligent systems and data are interacting and exchanging. The Internet of Things will increase the maturity level of customer relationships and will have a profound impact on customer relationship management. This is because the huge data of the Internet of Things contains information about the customer, and textual inputs can greatly increase the capabilities of managing relationships with customers. Therefore, the future of customer relationship management will be provided by cognitive computing, big data analysis, and creating deep knowledge in organizations. In this paper, the vital features and opportunities, and benefits of CRM systems based on the Internet of Things have been examined

Modular and generic IoT management on the cloud

Cloud computing and Internet of Things encompass various physical devices that generate and exchange data with services promoting the integration between the physical world and computer-based systems. This work presents a novel Future Internet cloud service for data collection from Internet of Things devices in an automatic, generalized and modular way. It includes a flexible API for managing devices, users and permissions by mapping data to users, publish and subscribe context data as well as storage capabilities and data processing in the form of NoSQL big data. The contributions of this work include the on the fly data collection from devices that is stored in cloud scalable databases, the vendor agnostic Internet of Things device connectivity (since it is designed to be flexible and to support device heterogeneity), and finally the modularity of the event based publish/subscribe service for context oriented data that could be easily utilized by third party services without worrying about how data are collected, stored and managed

The Internet of Things: the future or the end of mechatronics.

The advent and increasing implementation of user configured and user oriented systems structured around the use of cloud configured information and the Internet of Things is presenting a new range and class of challenges to the underlying concepts of integration and transfer of functionality around which mechatronics is structured. It is suggested that the ways in which system designers and educators in particular respond to and manage these changes and challenges is going to have a significant impact on the way in which both the Internet of Things and mechatronics develop over time. The paper places the relationship between the Internet of Things and mechatronics into perspective and considers the issues and challenges facing systems designers and implementers in relation to managing the dynamics of the changes required

Ethics of the health-related internet of things: a narrative review

The internet of things is increasingly spreading into the domain of medical and social care. Internet-enabled devices for monitoring and managing the health and well-being of users outside of traditional medical institutions have rapidly become common tools to support healthcare. Health-related internet of things (H-IoT) technologies increasingly play a key role in health management, for purposes including disease prevention, real-time tele-monitoring of patient’s functions, testing of treatments, fitness and well-being monitoring, medication dispensation, and health research data collection. H-IoT promises many benefits for health and healthcare. However, it also raises a host of ethical problems stemming from the inherent risks of Internet enabled devices, the sensitivity of health-related data, and their impact on the delivery of healthcare. This paper maps the main ethical problems that have been identified by the relevant literature and identifies key themes in the on-going debate on ethical problems concerning H-IoT

Artificial Intelligence enabled Smart Refrigeration Management System using Internet of Things Framework

Design of an intelligent refrigeration management system using artificial intelligence and Internet of Things (IoT) technology is presented in this paper. This system collects the real-time temperature inside the refrigeration implement, record the information of products and enhance function of refrigerators through the application of Internet of Things technology to facilitate people in managing their refrigerated and frozen groceries smartly. The proposed system is divided into two parts, On-board sub-system and Internet based sub-system. An Arduino Leonardo board is used in onboard sub-system to control other components including low power machine vision OpenMV module, temperature & Humidity sensor, and GY-302 light intensity sensor. OpenMV camera module is used for recognizing types of food, reading barcodes and OCR (optical character recognition) through convolution neural network (CNN) algorithm and tesseract-ocr. The food type identification model is trained by the deep learning framework Caffe. GY-302 light intensity sensor works as a switch of camera module. DHT11 sensor is used to monitor the environmental information inside the freezer. The internet based sub-system works on the things network. It saves the information and uploads it from onboard sub-system and works as an interface to food suppliers. The system demonstrates that the combination of existing everyday utility systems and latest Artificial Intelligence (AI) and Internet of Things (IoT) technologies could help develop smarter applications and devices