A New Approach for Hot Spot Solar Cell Detection based on Multi-level Otsu Algorithm

Author(s):  
A. Najiah Nurul Afifah ◽  
Indrabayu ◽  
Ansar Suyuti ◽  
Syafaruddin
2020 ◽  
Vol 13 (8) ◽  
pp. 2414-2421 ◽  
Author(s):  
Buddha Deka Boruah ◽  
Angus Mathieson ◽  
Bo Wen ◽  
Sascha Feldmann ◽  
Wesley M. Dose ◽  
...  

This paper presents a zinc-ion battery that can be recharged directly by light without the need for a solar cell, which offers a new approach to balancing the unpredictable energy surpluses and deficits associated with solar energy.


2011 ◽  
Vol 15 ◽  
pp. 3808-3813 ◽  
Author(s):  
Xuanjing Shen ◽  
Wei Wei ◽  
Jianwu Long ◽  
Qingji Qian

2010 ◽  
Vol 19 (03) ◽  
pp. 335-346 ◽  
Author(s):  
SAMANEH HOSSEINI SEMNANI ◽  
KAMRAN ZAMANIFAR

The problem of finding the best quantum time in multi-level processor scheduling is addressed in this paper. Processor scheduling is one of the most important issues in operating systems design. Different schedulers are introduced to solve this problem. In one scheduling approach, processes are placed in different queues according to their properties, and the processor allocates time to each queue iteratively. One of the most important parameters of a processor's efficiency in this approach is the amount of time slices associated to each processor queue. In this paper, an ant colony optimization (ACO) algorithm is presented to solve the problem of finding appropriate time slices to assign to each processor queue. In this technique, each ant tries to find an appropriate scheduling. Ant algorithm searches the problem space to find the best scheduling. The quality of each ant's solution is evaluated using a new fitness function. This fitness function is designed according to the evaluation parameters of each processor queue and also according to the queue theory's relations. Also a heuristic function is presented which prompts ant to select better solutions. Computational tests are presented and the comparisons made with genetic algorithm (GA) and particle swarm optimization (PSO) algorithms which try to solve same problem. The results show the efficiency of this algorithm.


2011 ◽  
Vol 301-303 ◽  
pp. 1202-1207
Author(s):  
Xue Mei Hou ◽  
Lei Yu ◽  
Zhi Bo Li ◽  
Zhu Ping Du ◽  
Bai You Lian

Nowadays, the parallel system performance evaluation is the hot spot topic. It’s helpful to improve the parallel system performance to establish a scientific evaluation model. In this paper, using of analytic hierarchy process and the fuzzy mathematics theory, the multi-level fuzzy synthetic evaluation model is established, the performance index system is defined and the parallel system performance evaluation process is realized.


2013 ◽  
Vol 3 (4) ◽  
pp. 27
Author(s):  
Alexander Evgenevich Shukhman ◽  
Maria Vladimirovna Motyleva ◽  
Isabella Davidovna Belonovskaya

This article proposes new approach to the development of student�??s individual learning path (ILP). The result of student�??s learning is defined as a set of competencies levels. The use of the multi-level system of generalized professional competencies allows to model ILP effectively and to automate the development of an optimal ILP. Each competency level in our model introduces some substantial units called subunits. The process of learning is a sequence of transitions from one student�??s state to another through a study of one or more courses. It is possible to present the relation of competency levels and courses in our model as Petri net. Using the Petri net model it is possible to automatically generate the individual learning path including the courses that the student needs to attend according to the set of certain competency levels. For searching of an optimum individual learning path we use algorithm based on tree of reachability for Petri net. The developed model and algorithm were used in the prototype of the information system for automating the construction of individual learning paths. The developed information system may be used for the construction of individual student's learning paths in educational institutions of higher education.


2018 ◽  
Vol 10 (11) ◽  
pp. 3865 ◽  
Author(s):  
Qingjian Zhao ◽  
Zuomin Wen ◽  
Anne Toppinen

From the perspective of supply chain, benchmarking the embodied carbon flows and emissions landscape is to study the carbon footprint in supply chain production and process management. On the basis of the theory of a green supply chain, this paper conducted its research through the following steps. First, a multi-level supply chain model was proposed and established, and various sectors, production and management processes, and inputs and outputs of different resources were integrated into the supply chain network, and then divided into multiple levels. Second, a multi-level embodied carbon flow and emissions model was established through the Leontief Inverse. Third, based on the operation data of forestry-pulp and paper companies, the embodied carbon flows and emissions at all levels and sectors were estimated and analyzed. Finally, the dismantling and processing methods of complex carbon network structures were explored, the hot-spot carbon sources and paths were obtained, and the low-carbon innovation and development strategies were proposed. The research results show that: (1) Supply chain is a new idea and carrier to study the spatial and state changes of carbon, and also provides a platform for spatial landscape analysis of carbon; (2) The modeling and calculation of carbon flows and emissions offer a new solution of evaluating the environmental performance of companies with high pollution and emission such as forestry-pulp and paper companies, and provide the government effective technical support to implement environmental regulations and formulate carbon emission reduction policies.


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