Context Recognition of Humans and Objects by Distributed Zero-Energy IoT Devices

2019 ◽  
Author(s):  
Teruo Higashino ◽  
Akira Uchiyama ◽  
Shunsuke Saruwatari ◽  
Hirozumi Yamaguchi ◽  
Takashi Watanabe
Keyword(s):  
Zero Energy ◽  
Context Recognition ◽  
Iot Devices

IoT-Based Green Building

2020 ◽  
pp. 184-207
Author(s):  
Rachna Jain ◽  
Vaibhav Goel ◽  
Jusleen Kaur Rekhi ◽  
Jafar A. Alzubi
Keyword(s):  
Green Building ◽  
Green Buildings ◽  
Machine Learning Algorithms ◽  
Zero Energy ◽  
Building Management ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Insight Into ◽  
Building Management Systems ◽  
Zero Energy Buildings

Among the various domains of IoT, one domain that is highly emerging in recent years is the application of IoT in green buildings. With the advent of IoT, the concept of green buildings has taken an even broader perspective. Incorporating intelligence into the current building management systems could revolutionize the buildings in terms of energy efficiency. The chapter explores some sound benefits of integrating IoT into a green building. It offers insight into the various technologies used in green construction, followed by some IoT-based architectures. Some machine learning algorithms that can be used to boost the efficiency of IoT devices are also discussed. Finally, the chapter dives into the future of IoT-enabled green buildings, and explores the challenges in achieving zero-energy buildings, while addressing the questions it raises. It focuses on how a green building, together with the internet of things, may lead to zero-energy buildings, thus carving our path towards a secure and energy-efficient future.

Study of effective factors in the design of zero energy buildings in arid climate (case of Isfahan City)

2018 ◽  
Vol 8 (1) ◽  
pp. 211-221
Author(s):  
Negar Aminoroayaei ◽  
Bahram Shahedi
Keyword(s):  
Fossil Fuels ◽  
Arid Climate ◽  
Zero Energy ◽  
Factors Affecting ◽  
Zero Energy Building ◽  
Cost Of Energy ◽  
Current Century ◽  
Increase Productivity ◽  
Save Energy ◽  
Zero Energy Buildings

In the current century, a suitable strategy is concerned for optimal consumption of energy, due to limited natural resources and fossil fuels for moving towards sustainable development and environmental protection. Given the rising cost of energy, environmental pollution and the end of fossil fuels, zero-energy buildings became a popular option in today's world. The purpose of this study is to investigate the factors affecting the design of zero-energy buildings, in order to reduce energy consumption and increase productivity, including plan form, climatic characteristics, materials, coverage etc. The present study collects the features of zero-energy building in Isfahan, which is based on the Emberger Climate View in the arid climate, by examining the books and related writings, field observations and using a descriptive method, in the form of qualitative studies. The results of the research showed that some actions are needed to save energy and, in general, less consumption of renewable energy by considering the climate and the use of natural conditions.

Intelligent building development and LabView-based modelling of a net zero-energy strategy

2014 ◽  
Vol 5 (2) ◽  
pp. 157-166 ◽  
Author(s):  
Cs. Szász
Keyword(s):  
Development Strategy ◽  
Measurement Data ◽  
Renewable Energy Resources ◽  
Balance Performance ◽  
Zero Energy ◽  
Intelligent Building ◽  
Labview Software ◽  
Net Zero Energy ◽  
Net Zero Energy Building ◽  
Net Zero

The paper presents an intelligent building (IB) development strategy emphasizing the locally available non-polluting renewable energy resources utilization. Considering the immense complexity of the topic, the implementation strategy of the main energy-flow processes is unfolded, using the net zero-energy building concept (NZEB). Noticeably, in the first research steps the mathematical background of the considered NZEB strategy has been developed and presented. Then careful LabView software-based simulations prove that the adopted strategy is feasible for implementation. The result of the above mentioned research efforts is a set of powerful and versatile software toolkits well suitable to model and simulate complex heating, ventilation and air-conditioning processes and to perform energy balance performance evaluations. Besides the elaborated mathematical models, concrete software implementation examples and measurement data also is provided in the paper. Finally, the proposed original models offer a feasible solution for future developments and research in NZEB applications modelling and simulation purposes.

Heuristic vs Metaheuristic Method: Improvement of Spoofed Fingerprint Identification in IoT Devices

2019 ◽  
Vol 12 (3) ◽  
pp. 168
Author(s):  
Guruh Fajar Shidik ◽  
Edi Jaya Kusuma ◽  
Safira Nuraisha ◽  
Pulung Nurtantio Andono
Keyword(s):  
Fingerprint Identification ◽  
Iot Devices ◽  
Method Improvement
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