Development of real-time indoor human tracking system using LoRa technology

<p>Industrial growth has increased the number of jobs hence increase the number of employees. Therefore, it is impossible to track the location of all employees in the same building at the same time as they are placed in a different department. In this work, a real-time indoor human tracking system is developed to determine the location of employees in a real-time implementation. In this work, the long-range (LoRa) technology is used as the communication medium to establish the communication between the tracker and the gateway in the developed system due to its low power with high coverage range besides requires low cost for deployment. The received signal strength indicator (RSSI) based positioning method is used to measure the power level at the receiver which is the gateway to determine the location of the employees. Different scenarios have been considered to evaluate the performance of the developed system in terms of precision and reliability. This includes the size of the area, the number of obstacles in the considered area, and the height of the tracker and the gateway. A real-time testbed implementation has been conducted to evaluate the performance of the developed system and the results show that the system has high precision and are reliable for all considered scenarios.</p>

Investigating the Relationship between Governance and Key Processes of the Iran IoT Innovation System

Despite the emergence of unique opportunities for social-industrial growth and development resulting from the use of the Internet of Things (IoT), lack of a well-posed IoT governance will cause serious threats on personal privacy, public safety, industrial security, and dubious data gathering by unauthorized entities. Furthermore, adopting a systemic governance approach, particularly for the IoT innovation system, requires a precise clarification on the concept and scope of IoT governance. In this study, by employing the Structural Equation Modeling (SEM) approach, the role of governance in the Iran IoT innovation system is investigated. Contacting respondents across the seven industries, including Information and Communication Technology (ICT), Healthcare, Transportation, Oil and Gas, Energy, Agriculture, and Banking over the course of three months, the authors performed statistical analysis on 319 fulfilled questionnaires using SPPS and Smart PLS software. Findings show that all IoT-related TIS processes have been affected by IoT governance functions. The main result of this study is the proposition of particular governance functions, including policy-making, regulation, facilitation, and service provision with more notable impact on the indicators of the key processes in the IoT-based TIS.

Nexus Between Money Laundering and Sustainable Development Goals

Money laundering is a hot debate discussion among policymakers, as money laundering usually arises due to theft of money or other illegal activity. Such criminal activities damage every stakeholder of the economic cycle, whether it is trade, productivity, or contribution of the financial sector itself. Due to the fact money laundering makes the industrial growth process very slow and undercuts economic activities, which are essential for the development. This chapter explores the nexus between money laundering as a threat to a sustainable development goal from different angles. The discussion reveals that money laundering negatively impacts economic growth, and the fundamental pillar of sustainable development is economic growth. So can we achieve sustainable economic growth and development without controlling money laundering? The authors conclude it is not possible.

Metal Oxide Nanomaterials based sensors for monitoring environmental NO2 and its impact on plant ecosystem: A Review

The substantial increase in the emission of air pollutants due to prompt industrial growth, combustion of fossil fuels, pesticides, and insecticides used in the agriculture sector during the last few...

A Machine Learning Approach for Anomaly Detection to Secure Smart Grid Systems

The rapid industrial growth in cyber-physical systems has led to upgradation of the traditional power grid into a network communication infrastructure. The benefits of integrating smart components have brought about security issues as attack perimeter has increased. In this chapter, firstly, the authors train the network on the results generated by the uncompromised grid network result dataset and then extract valuable features by the various system calls made by the kernel on the grid and after that internal operations being performed. Analyzing the metrics and predicting how the call lists are differing in call types, parameters being passed to the OS, the size of the system calls, and return values of the calls of both the systems and identifying benign devices from the compromised ones in the test bed are done. Predictions can be accurately made on the device behavior in the smart grid and calculating the efficiency of correct detection vs. false detection according to the confusion matrix, and finally, accuracy and F-score will be computed against successful anomaly detection behavior.

Machine Learning Schemes for Anomaly Detection in Solar Power Plants

The rapid industrial growth in solar energy is gaining increasing interest in renewable power from smart grids and plants. Anomaly detection in photovoltaic (PV) systems is a demanding task. In this sense, it is vital to utilize recent advances in machine learning to accurately and timely detect different anomalies and condition monitoring. This paper addresses this issue by evaluating different machine learning techniques and schemes and showing how to apply these approaches to solve anomaly detection and detect faults on photovoltaic components. For this, we apply distinct state-of-the-art machine learning techniques (AutoEncoder Long Short-Term Memory (AE-LSTM), Facebook-Prophet, and Isolation Forest) to detect faults/anomalies and evaluate their performance. These models shall identify the PV system's healthy and abnormal actual behaviors. Our results provide clear insights to make an informed decision, especially with experimental trade-offs for such complex solution space.

KONSERVASI ENERGI LISTRIK PADA BANGUNAN GEDUNG KANTOR BUPATI TOJO UNA-UNA

Electrical energy has a very important role in the economic, industrial and social development of the community, this causes an increase in the demand for electrical energy in line with the increase in people's welfare, economic and industrial growth. On the other side, energy sources that are commonly used for power generation are increasingly expensive and limited in availability and cause environmental pollution. Based on these considerations, it is necessary to implement an energy management program to preserve energy resources and use energy effectively. Energy consumption intensity (ECI) is a term used to determine the amount of electrical energy consumption in a room. The calculation of the intensity of energy consumption carried out at the Tojo Una-una regent's office in Central Sulawesi consists of 3 buildings with 129 rooms, it was found that 7 rooms were categorized as quite efficient and wasteful.

A Historical and Econometric Analysis of Energy Consumption and Industrial Output in Pakistan (1990-2019)

This paper examines the nexus of disaggregated energy consumption and industrial output in Pakistan. The annual time series data over the period 1990-2019 has been taken for current research. ARDL technique has been employed for empirical analysis. The results show that oil consumption, electricity consumption and gas consumption are positively and significantly connected with the industrial output in long run. Similarly, trade openness, labour and capital also have the same association with the industrial output and have significant outcomes in the long run. The results of Granger causality show that there exists a unidirectional causality from electricity consumption to industrial output. The study concludes that oil, gas and electricity are contributing a large share in industrial growth so that it would be made an effort to install the plants relevant with these energy sources to meet the affordable demand in the industry sector.

National industrial policy: issues of modern history, theoretical aspects of formation

In the recent history of the Russian economy of the 1990s, the relevance of the formation of a special state industrial policy was not recognized. The policy was aimed at liberalizing prices and foreign economic activity, mass formed privatization and tight monetary policy. There were no signs of industrial growth in general and progressive changes in the industrial structure of production. The attempts of the industrial department and leading associative organizations to formulate the conceptual foundations of the state industrial policy were considered. Adopted in 2014 the federal Law on industrial policy, despite its generally constructive role, did not ensure the proper effectiveness of production processes. The article provides recommendations for clarifying a number of terms in the field of industrial policy. A typology of its types is proposed. Its types are characterized as open and closed, active and passive, vertical and horizontal, soft and hard. Theoretical approaches to the modernization of the current state industrial policy are substantiated. The necessity of having the Concept of national industrial policy as part of the documents of strategic planning of the economy is substantiated.

Institutional Quality and Industrial Growth: A Causality Analysis

The research study investigates the causal links between institutional quality and industrial output growth in Nigeria for the periods 1996:Q1-2018:Q4. Institutional quality was delineated into three i.e. economic institution (government effectiveness, regulatory quality, rule of law, and control of corruption), financial institution (contract intensive money, lending rate, and financial deepening), and political institution (voice and accountability, and political stability and absence of violence). The study computed the Granger causality test using both the VECM and the Toda and Yamamoto [1] and Dolado and Lutkepohl [2] (TYDL) augmented VAR procedure. The causality result in the short run showed that none of the institutional quality variables have a causal effect on industrial output growth but the feedback was reported. In the long run, a bi-causal relationship was reported from government effectiveness, control of corruption, financial deepening, and voice and accountability to industrial growth, whereas, a one-way directional relation was found running from industrial growth to regulatory quality and political stability & absence of violence. Thus, there is a need for the government to intensify efforts towards improving the extent people can challenge her power and authority because these play significant roles in the development level of Nigerian industries.