Volatile Organic Compounds (VOC) affect human health in various forms depending on the type of compound (benzene, formaldehyde, etc.). These compounds range from toxic to very toxic, and human health depends on the level and duration of exposure to these toxic pollutants. The adverse effects of long-term human exposure affect kidney and liver, nervous system, and in the case of short-term impacts affect eyes and memory. The purpose of the article is to assess current sensor technologies which allow measuring VOCs concentrations in exposed areas and to analyze the health impacts of vulnerable groups, elderly and children. Measurements are performed using the Libelium sensor. Using relevant statistic indicators on a variate set of measured metrics, we made an appreciation of the correlation between the analysis of value measurement with Libelium sensors installed indoor of a building in two separate rooms and appreciated the relevance of the measured values.
System management defines the organization of information technology frameworks in a business data center. To be effective, a system management plan needs to deliver at their best the IT as a Service (ITaaS) and to allow the employees to respond in a rapid manner to the changing environment of a company. However, system management platforms deal with security breaches. Henceforth, the purpose of this paper is to present a solution that, with the aid of security models, there can be implemented a secure isolation. The designed security breach focuses the wireless communication protocols, showing that a Wi-Fi password can be hacked using a specialized software, such as Kali Linux. The analysis has been done on a well-known protocol used in Internet of Things (IoT) device management, called Lightweight Machine to Machine (LwM2M). For securely using LwM2M within a virtualized environment, On Demand Secure Isolation (ODSI) proposes Kali Linux for LwM2M's security bugs, as well as a solution for system management protection. The chosen security models that will be described are the Network Manager, the Keyring Manager and the Administration Manager.
Long Range technology (LoRa) is a technology used in the current Internet of Things (IoT) applications. The frequency supported by this network is around 433Mhz, 868MHz or 956Mhz. This type of network uses the Frequency Shifting Keying and has a small error rate. Moreover, LoRa has the advantage that it is a platform for long-distance communication and another factor is that it has a long-term battery performance. We will present an architecture based on LoRa Gateway which will be connected to PyCom. We will use as well specific gas sensors which will measure the quality of the air. This architecture will be connected to a breadboard with different types of gas sensors to collect data about the air pollutants.
Cyber Physical Systems (CPS) and energy efficiency play a major role in the context of industry expansion. Management practices for improving efficiency in the field of energy consumption became a priority of many major industries who are inefficient in terms of exploitation costs. The effort of adopting energy management means in an organization is quite challenging due to the lack of resources and expertise. One major problem consists in the lack of knowledge for energy management and practices. This paper aims to present authors’ concept in creating a Cyber Physical Energy System (CPES) that will change organizations’ way of consuming energy, by making them aware of their use. The presented concept will consider the security of the whole system and the easy integration with the existing electric network infrastructure.
In this paper we describe several wearable sensors, designed for monitoring the health condition of the patients, based on an experimental model. Wearable sensors enable long-term continuous physiological monitoring, which is important for the treatment and management of many chronic illnesses, neurological disorders, and mental health issues. The system is based on a wearable sensors network, which is connected to a computer or smartphone. The wearable sensor network integrates several wearable sensors that can measure different parameters such as body temperature, heart rate and carbon monoxide quantity from the air. After the portable sensors measuring parameter values, they are transmitted by microprocessor through the Bluetooth to the application developed on computer or smartphone, to be interpreted.
This paper presents an innovative approach for a monitoring system, with applicability for water environments, based on a previous state of the art regarding both communication challenges in water and underwater monitoring but also the technologies which may be used in such surroundings. The system is based on an underwater sensors network which is connected to a cloud platform by means of a reconfigurable wireless transceiver. The sensor network integrates several low cost sensors that can measure different parameters such as water level, the water flow, temperature, pressure etc. The paper analyzes the measured parameters that will be transmitted through an operational communication node, which is able to ensure a reliable communication with timing and variation delay constraints. The cloud platform collects and stores the environmental data received from the targeted locations. Finally, the paper describes the platform interface available to end users, which will provide a real time visualization of the water environment events.