scholarly journals Teaching Learning Based Optimization (TLBO) for energy efficiency in Fog Computing

Author(s):  
Amanpreet Kaur ◽  
Heena Wadhwa ◽  
Pardeep Singh ◽  
Harpreet Kaur Toor

Fog Computing is eminent to ensure quality of service in handling huge volume and variety of data and to display output, or for closed loop process control. It comprises of fog devices to manage huge data transmission but results in high energy consumption, end-to end-delay, latency. In this paper, an energy model for fog computing environment has been proposed and implemented based on teacher student learning model called Teaching Learning Based Optimization (TLBO) to improve the responsiveness of the fog network in terms of energy optimization. The results show the effectiveness of TLBO in choosing the shortest path with least energy consumption.

2005 ◽  
Vol 291-292 ◽  
pp. 39-44 ◽  
Author(s):  
Berend Denkena ◽  
M. Reichstein ◽  
Niklas Kramer ◽  
J. Jacobsen ◽  
M. Jung

Eco-efficiency of manufacturing processes is increasingly important. Here grinding is supposed to be unfavorable because of the need for coolant and a high energy consumption per removed material volume. Nevertheless, it can be not be substituted by an alternative process due to the superior quality of ground parts. The overall eco-efficiency of grinding can be improved by different approaches. A better understanding of grinding processes and a modified setup of the process chain minimizes the material to be removed by grinding. Design changes of the machine tool can significantly reduce the energy consumption of additional devices as coolant supply units without a loss of flexibility. Adapted process parameters increase eco-efficiency and can also improve cost effectiveness while maintaining part quality.


Author(s):  
Teuta Agaj

Assessment is a broad concept which means it is part of the whole educational process of teaching and learning. The variety of methods that teachers use to evaluate and measure the student’s learning progress and skill acquisition are referred by the term assessment. Assessment shapes how teachers teach and how students learn. The assessment of student’s achievements is a pedagogical dialogue between teacher-student for the quality of teaching, learning and knowledge.Assessment especially continuous assessment is a very important tool that teachers should use in the classroom because by using it a wealth of information to guide classroom practice and to manage learning and learners can be provided. Assessment tells us the truth about an education system, then about the qualities of students and their work.It has an important role in education and it is necessary to help students learn, to help students become knowledgeable, to help students gain insight into their learning and understanding, to teach effectively etc.Since making assessment an integral part of daily instruction is a challenge, this paper examines the process of assessing student’s knowledge, types of assessment and the assessment of L2 writing. It also focuses on the issues and challenges in the process of assessment.


Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 168
Author(s):  
Bin Qian ◽  
Tao Yu ◽  
Haiquan Bi ◽  
Bo Lei

In recent years, the energy performance of public buildings has attracted substantial attention due to the significant energy-saving potential. As a semi-open high-space building, the high-speed railway station is obviously different from other public buildings and even traditional stations in terms of energy consumption and internal environment. This paper investigates the current energy consumption situation and environmental quality of 15 high-speed railway passenger stations in China. Results show that the energy consumption of the high-speed railway station is between 117–470 kWh/(m2·a). The energy consumption of the station is related to the area and the passenger flow. The energy use of the station using district heating is higher than that of the station without district heating in the same region. The higher glazing ratio induces good natural lighting in the station, but the uniformity of the lighting in the station is not good. The acceptable temperature range of passengers in winter is larger than that in summer. The average air change rate of the high-speed railway station is 3.2 h−1 in winter and 1.8 h−1 in summer, which is the main reason of high energy consumption of the HVAC (Heating Ventilation Air Conditioning) system in this kind of building.


2019 ◽  
Vol 14 (3) ◽  
pp. 129-142
Author(s):  
Madeeha Altaf ◽  
Frances Hill

The construction of fully glazed commercial building facades responsible for high energy consumption has become a common architectural practice worldwide irrespective of the climate. This paper presents the methodology to optimize the Window to Wall Ratio (WWR) with and without daylight utilization to reduce energy consumption in office buildings for the climate of Lahore, Pakistan, using a simulation tool COMFEN. The impacts of solar heat and daylight entering through the building façade with reference to different WWR and orientation were explored for the selection of optimum WWR. The optimum WWR was selected on the basis of least energy consumption whilst achieving a threshold lighting level. When daylight is not utilized, the energy demand is minimized by the lowest possible WWR. With daylight utilization, energy demand is optimized by use of WWRs of 13% to 30% according to orientation. Optimum WWR with daylight utilization offered a more balanced solution. The methodology used in this study can be applied to any location around the world to find optimum WWR for any glazing type.


2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Xu Chen ◽  
Bin Xu ◽  
Kunjie Yu ◽  
Wenli Du

Teaching-learning-based optimization (TLBO) is a population-based metaheuristic search algorithm inspired by the teaching and learning process in a classroom. It has been successfully applied to many scientific and engineering applications in the past few years. In the basic TLBO and most of its variants, all the learners have the same probability of getting knowledge from others. However, in the real world, learners are different, and each learner’s learning enthusiasm is not the same, resulting in different probabilities of acquiring knowledge. Motivated by this phenomenon, this study introduces a learning enthusiasm mechanism into the basic TLBO and proposes a learning enthusiasm based TLBO (LebTLBO). In the LebTLBO, learners with good grades have high learning enthusiasm, and they have large probabilities of acquiring knowledge from others; by contrast, learners with bad grades have low learning enthusiasm, and they have relative small probabilities of acquiring knowledge from others. In addition, a poor student tutoring phase is introduced to improve the quality of the poor learners. The proposed method is evaluated on the CEC2014 benchmark functions, and the computational results demonstrate that it offers promising results compared with other efficient TLBO and non-TLBO algorithms. Finally, LebTLBO is applied to solve three optimal control problems in chemical engineering, and the competitive results show its potential for real-world problems.


Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1771
Author(s):  
Eden Teshome ◽  
Diana Deac ◽  
Steffen Thielemans ◽  
Matthias Carlier ◽  
Kris Steenhaut ◽  
...  

Smart buildings benefit from IEEE 802.15.4e time slotted channel hopping (TSCH) medium access for creating reliable and power aware wireless sensor and actuator networks (WSANs). As in these networks, sensors are supposed to communicate to each other and with actuators, IPv6 multicast forwarding is seen as a valuable means to reduce traffic. A promising approach to multicast, based on the Routing Protocol for Low Power and Lossy Networks (RPL) is Bidirectional Multicast RPL Forwarding (BMRF). This paper aimed to analyze the performance of BMRF over TSCH. The authors investigated how an adequate TSCH scheduler can help to achieve a requested quality of service (QoS). A theoretical model for the delay and energy consumption of BMRF over TSCH is presented. Next, BMRF’s link layer (LL) unicast and LL broadcast forwarding modes were analyzed on restricted and realistic topologies. On topologies with increased interference, BMRF’s LL broadcast on top of TSCH causes high energy consumption, mainly because of the amount of energy needed to run the schedule, but it significantly improves packet delivery ratio and delay compared to ContikiMAC under the same conditions. In most cases, the LL unicast was found to outperform the LL broadcast, but the latter can be beneficial to certain applications, especially those sensitive to delays.


2020 ◽  
pp. 144-157 ◽  
Author(s):  
D.Yu. CHEREVATSKYI

The unity and struggle of opposites in the context of quality of life determines the use of primary energy resources, whether fossil or alternative sources, which is related to the state of the environment. An effective policy for the sustainable development of mankind requires the consumption of large amounts of energy to make life dignified, and the strict limitation of the consumption of energy to protect the environment. Th e purpose of the article is to determine the dependence of the quality of life of the population on the consumption of primary energy resources in national economies. Th e novelty of the research lies in the comparison of the quality of life of the population in national economies with the consumption of primary energy resources; application of the indicator of lost years of healthy life as a measure of the quality of life of the population; introduction of concepts of density of lost years of healthy life and ecological density (the ratio of the national value of Footprint to the energy resources consumption). Research methods. Th e work is based on the use of the Global Disease Burden project methodology; comparative research, mathematical statistics (regression and cluster analysis); mathematical modelling. Th e uneven specific consumption of energy resources in national economies of different types is proved based on cluster analysis results, it is found that industrial countries consume more energy than countries with warm climates, but less than developed countries, high energy consumption reduces the number of lost years of active life, but greatly increases the size of ecological Footprint. Th e phenomenon of peninsulas in quality of life is demonstrated, the density of lost years of healthy life and ecological density in national economies in relation to primary energy consumption is analyzed, the significant non-linearity of dependencies is proved, and it is shown that meeting the requirements of sustainable development is impossible without deteriorating the quality of life of countries with population that consumes a lot of energy, but under the conditions of exponential characteristics of the development deterioration is unlikely to be catastrophic.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Hai T. Do ◽  
Linh H. Truong ◽  
Minh T. Nguyen ◽  
Chen-Fu Chien ◽  
Hoang T. Tran ◽  
...  

Recently, unmanned aerial vehicles (UAVs) enhance connectivity and accessibility for civilian and military applications. A group of UAVs with on-board cameras usually monitors or collects information about designated areas. The UAVs can build a distributed network to share/exchange and to process collected sensing data before sending to a data processing center. A huge data transmission among them may cause latency and high-energy consumption. This paper deploys artificial intelligent (AI) techniques to process the video data streaming among the UAVs. Thus, each distributed UAV only needs to send a certain required information to each other. Each UAV processes data utilizing AI and only sends the data that matters to the others. The UAVs, formed as a connected network, communicate within a short communication range and share their own data to each other. Convolution neural network (CNN) technique extracts feature from images automatically that the UAVs only send the moving objects instead of the whole frames. This significantly reduces redundant information for either each UAV or the whole network and saves a huge energy consumption for the network. The UAVs can also save energy for their motion in the sensing field. In addition, a flocking control algorithm is deployed to lead the group of UAVs in the working fields and to avoid obstacles if needed. Simulation and experimental results are provided to verify the proposed algorithms in either AI-based data processing or controlling the UAVs. The results show promising points to save energy for the networks.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hongcai Yang

With the social and economic development, there have been more and more abundant multimedia carriers. In this paper, based on the elitist teaching-learning-based optimization algorithm, the factors that affect the quality of teaching are analyzed mainly from the perspective of teachers in terms of the teaching philosophy, the design level of informatization teaching, the application of new teaching models, the evaluation of teaching effects, and other aspects. The quality of multimedia teaching in vocal music class is analyzed, aiming to improve the quality of teaching. The results of this study indicate that the proposed algorithm is effective.


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