An internet of things and blockchain based smart campus architecture

Rapid development in science and information technologies, such as the Internet of things, has led to a growth in the number of studies and research papers on smart cities in recent years and more specifically on the construction of smart campus technologies. This paper will review the concept of a smart campus, discuss the main technologies deployed, and then propose a new novel framework for a smart campus. The architecture of this new smart campus approach will be discussed with particular consideration of security and privacy systems, the Internet of things, and blockchain technologies

Perancangan sistem informasi pengendalian dokumen ISO 9001 : 2015 di PT.Krakatau Industrial Estate Cilegon

Crime that occurs in the environment of office buildings even in neighborhoods lately more frequent, crime rates are increasing. Based on data obtained from the Central Bureau of Statistics (BPS) In 2010 there were 332 490 cases and an increase in 2015 reached 352 936 cases, Theft crime is one that often occurs in housing, institutional or office buildings to be noticed. Pasundan University is one of the educational institutions that have several campus scattered in the city of bandung, one of which is the campus IV (Faculty of Engineering) yang terlakak in setiabudhi bandung. As an educational institution of course many important objects are scattered in some rooms. Semangkin many important things then semangkin high needs of the institution's security system. The concept of Smart Building is the application of the technology of the Internet of Things (IoT) which is currently as fast as possible and trying to answer all human needs. This concept is divided into beberpa part one of them is Security and Access Control. Developing technology leads to selfsustaining systems, making it easier to perform security controls by building control systems that can provide alarm information, e-mail notifications. To realize Security and Access Control requires Raspberry Pi and Arduino Microcontroller connected with Passive Infrared Sensor (PIR), Light Dependent Resistor (LDR), Laser sensor, Relay and OpenHAB (Open Home Automation BUS) as framework. The result of Smart Building development research, namely the security of information can be obtained directly through the local network and internet email notification when there is movement or someone passing the room or area that has been installed device. The OpenHAB framework works well on a semart building system. Keywords: Smart Building, Internet of Things (IoT), Security and Access Control, Passive Infrared Sensor (PIR), Light Dependent Resistor (LDR), Laser sensor, Relay and OpenHAB

Dynamically programmable virtual profiles as a service

Many devices in our daily environments are being connected to the network, building what has been called the Web of Things. Although these things offer a web interface to interact with, this interaction must be performed manually and for each one of them. In a near future in which we will be surrounded by dozens of connected devices, technology must evolve to make the interactions automatically and adapt the behavior of these devices considering the needs and context of their users. To this extent, in previous work we proposed the Internet of People model to empower the smartphones with the capability of automatically inferring virtual profiles of their owners. However, in order to build complete virtual profiles with information about the user’s environment and context, we also need the contribution of these surrounding devices. In this paper, we propose a framework in which users and smart devices are integrated seamlessly and in real time, allowing programmatic adaptation and update of both virtual user profiles and connected devices. We present the architecture of this framework and define how the virtual profiles should be, coming from our experience in the field. Virtual profiles are the key element in the way to an effective Programmable World, in which everyday things connected to the network can be programmatically adapted to their users.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Perspectives of Integrated “Next Industrial Revolution” Clusters in Poland and Siberia

Rozdział z: Functioning of the Local Production Systems in Central and Eastern European Countries and Siberia. Case Studies and Comparative Studies, ed. Mariusz E. Sokołowicz.The paper presents the mapping of potential next industrial revolution clusters in Poland and Siberia. Deindustrialization of the cities and struggles with its consequences are one of the fundamental economic problems in current global economy. Some hope to find an answer to that problem is associated with the idea of next industrial revolution and reindustrialization initiatives. In the paper, projects aimed at developing next industrial revolution clusters are analyzed. The objective of the research was to examine new industrial revolution paradigm as a platform for establishing university-based trans-border industry clusters in Poland and Siberia47 and to raise awareness of next industry revolution initiatives.Monograph financed under a contract of execution of the international scientific project within 7th Framework Programme of the European Union, co-financed by Polish Ministry of Science and Higher Education (title: “Functioning of the Local Production Systems in the Conditions of Economic Crisis (Comparative Analysis and Benchmarking for the EU and Beyond”)). Monografia sfinansowana w oparciu o umowę o wykonanie projektu między narodowego w ramach 7. Programu Ramowego UE, współfinansowanego ze środków Ministerstwa Nauki i Szkolnictwa Wyższego (tytuł projektu: „Funkcjonowanie lokalnych systemów produkcyjnych w warunkach kryzysu gospodarczego (analiza porównawcza i benchmarking w wybranych krajach UE oraz krajach trzecich”))

Smart Geographic object: Toward a new understanding of GIS Technology in Ubiquitous Computing

One of the fundamental aspects of ubiquitous computing is the instrumentation of the real world by smart devices. This instrumentation constitutes an opportunity to rethink the interactions between human beings and their environment on the one hand, and between the components of this environment on the other. In this paper we discuss what this understanding of ubiquitous computing can bring to geographic science and particularly to GIS technology. Our main idea is the instrumentation of the geographic environment through the instrumentation of geographic objects composing it. And then investigate how this instrumentation can meet the current limitations of GIS technology, and offers a new stage of rapprochement between the earth and its abstraction. As result, the current research work proposes a new concept we named Smart Geographic Object SGO. The latter is a convergence point between the smart objects and geographic objects, two concepts appertaining respectively to

Named data networking for efficient IoT-based disaster management in a smart campus

Disasters are uncertain occasions that can impose a drastic impact on human life and building infrastructures. Information and Communication Technology (ICT) plays a vital role in coping with such situations by enabling and integrating multiple technological resources to develop Disaster Management Systems (DMSs). In this context, a majority of the existing DMSs use networking architectures based upon the Internet Protocol (IP) focusing on location-dependent communications. However, IP-based communications face the limitations of inefficient bandwidth utilization, high processing, data security, and excessive memory intake. To address these issues, Named Data Networking (NDN) has emerged as a promising communication paradigm, which is based on the Information-Centric Networking (ICN) architecture. An NDN is among the self-organizing communication networks that reduces the complexity of networking systems in addition to provide content security. Given this, many NDN-based DMSs have been proposed. The problem with the existing NDN-based DMS is that they use a PULL-based mechanism that ultimately results in higher delay and more energy consumption. In order to cater for time-critical scenarios, emergence-driven network engineering communication and computation models are required. In this paper, a novel DMS is proposed, i.e., Named Data Networking Disaster Management (NDN-DM), where a producer forwards a fire alert message to neighbouring consumers. This makes the nodes converge according to the disaster situation in a more efficient and secure way. Furthermore, we consider a fire scenario in a university campus and mobile nodes in the campus collaborate with each other to manage the fire situation. The proposed framework has been mathematically modeled and formally proved using timed automata-based transition systems and a real-time model checker, respectively. Additionally, the evaluation of the proposed NDM-DM has been performed using NS2. The results prove that the proposed scheme has reduced the end-to-end delay up from 2% to 10% and minimized up to 20% energy consumption, as energy improved from 3% to 20% compared with a state-of-the-art NDN-based DMS

Application of a Big Data Framework for Data Monitoring on a Smart Campus

At present, university campuses integrate technologies such as the internet of things, cloud computing, and big data, among others, which provide support to the campus to improve their resource management processes and learning models. Integrating these technologies into a centralized environment allows for the creation of a controlled environment and, subsequently, an intelligent environment. These environments are ideal for generating new management methods that can solve problems of global interest, such as resource consumption. The integration of new technologies also allows for the focusing of its efforts on improving the quality of life of its inhabitants. However, the comfort and benefits of technology must be developed in a sustainable environment where there is harmony between people and nature. For this, it is necessary to improve the energy consumption of the smart campus, which is possible by constantly monitoring and analyzing the data to detect any anomaly in the system. This work integrates a big data framework capable of analyzing the data, regardless of its format, providing effective and efficient responses to each process. The method developed is generic, which allows for its application to be adequate in addressing the needs of any smart campus