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Vol. 05, No. 11 [November 2019]

Paper Title :: Research on Outsourcing Electricity Model of Provincial Power Grid
Author Name :: ChaochunLuo || Liang Ge || Shiqiang Zheng
Country :: China
Page Number :: 01-08
With the rapid economic and social development of Province A, the province's electricity consumption level has improved significantly. During the summer and winter peak hours, the province has adopted various levels of orderly electricity use measures, and the power supply support capacity has reached the limit. Hunan's energy endowment is insufficient, and the province's power supply and demand has been unable to achieve self-balance. With the commissioning of the UHV DC project, the scale of purchasing electricity outside the province has grown rapidly. The role of foreign calls in ensuring the power supply of the province, reducing the price of electricity in the province, and improving the ecological environment are becoming more and more obvious. In order to solve the above problems, we first analyze the inter-provincial power trading varieties and the factors affecting the purchase of electricity, and analyze the problems according to the purchase situation of the province in 2018, and put forward the problems to be solved. Then, the outsourcing electricity model is established. Finally, the average electricity price of the province is analyzed by various uncertain scenarios. Under the premise of satisfying the constraints, the optimal power purchase plan is obtained, which is formulated for the province A. Provide a reference for annual and monthly trading plans.
Keywords:Outsourcing Eletricity Model, Monthly Trading Plans, Clean Energy Consumption, Smart Grid
[1] Lai Xiaowen Zhong Haiwang Yang Junfeng Xia Qing "A coordinated optimization method for system-wide power supply-demand balancing" Automation of Electric Power Systems vol. 39 pp. 97-104 2015.
[2] Yan Wenjie "The optimal electricity allocation in power market considering microgrid" Xihua University 2013
[3] Shi Hui "Research on New Power Grid Planning Model Considering Demand-side Resources" North China Electric Power University 2015.
[4] Liu Dunnan Xu Yujie Zeng Weimin Yang Xiangui et al. "Purchasing optimization model of the provincial power grid based on the theory of multiple energy to coordinate the hedging" Automation of Electric Power Systems vol. 39 pp. 105-110 2015.
[5] Xie Anshi Huang Siming Ren Lingyu Zhou Chuanhua "Purchasing portfolio strategy of supplier based on benchmarking optimization algorithm" Mathematics in Practice and Theory vol. 44 pp. 7-17 2014.


Paper Title :: A Review Paper on Reduction Mechanism of Porosity in Welding Process
Author Name :: Tandin Wangdi || Chenga Dorji
Country :: Bhutan
Page Number :: 09-12
The porosity is a defect in a weld, which results in weakening the strength of the joint and corrode the metal parts by depositing impurities like moisture and atmospheric contaminant. This defect is caused due to disturbance of external impurities like oxygen, nitrogen, hydrogen, etc., in the molten weld pool. In fact, most of the industrial and manufacturing companies play a key role in finish products. Besides, there is substantial use of welding in building construction and therefore the quality of welding effects the strength of welded structures. In general, the entire product quality depends on the weld quality, irrespective of the type of weld being used. The many researchers have examined the different mechanisms to reduce the porosity such as adjusting the pulse frequency, a set of arc current, depth of penetration, proper application of welding parameters, enough duration to solidification process, etc. This review paper will disseminate the preventive measures to reduce the porosity as a collective idea in a small amount to count for big volume.
Keywords: porosity, impurities, contaminant, depositing and penetration.
[1]. HAYASHI Tomotaka, MATSUBAYASHI Kazuki, KATAYAMA Seiji, ABE Nobuyuki, MATSUNAWA aKIRA AND ohmori aKIRA, "Reduction Mechanism of Porosity in Tandem Twin-Spot Laser Welding of Stainless Steel," Welding research Institute, Osaka University, vol. 2, pp. 228-236, 2002.
[2]. KATAYAMA Seiji, NAITO Yasuaki, UCHIUMI Satoru and MIZUTANI Masami, "Physical Phenomena and Porisity Preventation Mechanism in Laser-Arc Hybrid Welding," Joining and Welding Research Institute, Osaka University, Ibaraki, vol. 35, pp. 13-18, 2006.
[3]. Jun Zhou and Hai-Lung Tsai, "Porosity Formation and Prevention in Pulsed Laser Welding," Journal of Heat Transfer, vol. 129, pp. 1014-1024, 2007.
[4]. Mamoru Nishihara, Syunzi Yamamoto, Syoziro Shibata, "Some Factors Affecting Porosity of Inert-Gas Arc Welded Ti Metals," Journal Free Access, vol. 32, no. 10, pp. 976-983, 2011.


Paper Title :: Analysis of Concentrations of Coarse Fraction Particle Levels (PMCO) in Mexico City with Probability Distribution Functions
Author Name :: M. Sc. Zenteno Jiménez José Roberto || M. Sc. Antonio Barba Gutiérrez
Country :: Mexico
Page Number :: 13-30
The study includes an analysis of data from 2011 to 2018, it was proposed to obtain the best or best Probability Distribution Functions that Model PMCO Concentrations in Mexico City, using the following PDF, Gama Distribution Function, Function of Distribution Extreme Value Distribution and Nakagami Distribution Function, to obtain the estimators, the Maximum Probability and Moments Method was used and aided by the Matlab 2017 program, for the evaluation of the forecast model, RMSE, Determination Coefficient, Prediction Approach and Index were used Approach, in turn an analysis is made to observe its trend within the period using the Bayesian Point Change Detection method to observe the most notable variations of the trend, the database used is from the official air page From Mexico City.
Keywords: Particulate Material Coarse Fraction, Probability Distributions, Adjustment Indicators.
[1]. Aiken A. C., S. D. (2009). México City Aerosol Análisis during MILAGRO using High Resolution Aerosol Mass Spectroscopy at the Urban Supercite.
[2]. Borja Aburto V. H., Rosales Castillo J. A., Torres Mesa V. M., Corey G. (2000). ―Evaluatión of Health Effects of Pollutions‖ Ancillary Benefits and Costs of Greenhouse Gas Mitigación. Proceedings of an IPCC Co-Sponsored Workshop.
[3]. Data base of PMCO website of México City http://www.aire.cdmx.gob.mx/
[4]. EPA (2009) ―Integrated Science Assessment for Particulate Matter‖
[5]. Georgopoulos, P.G. and Seinfeld, J.H. (1982) ‗Statistical distribution of air pollutant concentration‘, Environmental Science Technology, Vol. 16, pp.401A–416A.


Paper Title :: Scheduling of Steel Charges
Author Name :: Majji Ranganath Kumar || M. Srinivasa Rao || V.V.S. Kesavarao
Country :: India
Page Number :: 31-38
Present paper studies hybrid flow shop (HFS) scheduling problem with stage skipping and adjustable processing time in steelmaking- continuous casting (SCC) production process. The SCC scheduling problem is solved to determine the machine allocations, starting times and ending times for all operations of all sms charges (jobs). Considering the production objectives and constraints related to stageskipping and adjustable processing time, a new SCC scheduling model is built. Genetic algorithm (GA) is applied to address the scheduling problem.
Keywords: scheduling, hybrid flow shop, stage skipping, adjustable processing time, genetic algorithm
[1] L. X. Tang, J. Y. Liu, A. Y. Rong and Z. H. Yang, “A review of planning and scheduling systems and methods for integrated steel production”, Eur. J. Oper. Res., vol. 133, no. 1, pp. 1-20, Aug. 2001.
[2] L. X. Tang, P. B. Luh, J. Y. Liu and L. Fang, “Steel-making process scheduling using lagrangian relaxation”, Int.J. Prod. Res., vol. 40, no. 1, pp. 55-70, Jan. 2002.
[3] K. Mao, Q. K. Pan, X. F. Pang and T. Y. Chai, “A novel lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process”, Eur. J. Oper. Res., vol. 236, no. 1, pp.51-60, Jul. 2014.
[4] H. Xuan and L. X. Tang, “Scheduling a hybrid flowshop with batch production at the last stage”,Comput. Oper.Res., vol. 34, no. 9, pp. 2718-2733, Sep. 2007.
[5] L. L. Sun and S. P. Yu, “Scheduling a real-world hybrid flow shop with variable processing times using lagrangian relaxation”, Int. J. Adv. Manuf. Tech., vol. 78, no.9-12, pp. 1961-1970, Jun. 2015.


Paper Title :: Design and Development of Hand Operate Milk Churn Machine
Author Name :: Tandin Wangdi || Chenga Dorji || Namgay Dorji || Norbu Tshering
Country :: Bhutan
Page Number :: 39-42
This paper is on the design of milk churning mechanism manually for the benefit of farmers. This efficient and affordable mechanism is expected to support most of the farmers in the rural areas in the country. It is learnt that most of farmers are depending on conventional tool which requires physical effort and not efficient in the production process. Although milk production provides economic value to farmers, demanding physical strength and consumption of time in the current practice of milk production has led to shortcoming in other daily farming activities. To mitigate this challenges and to strengthen economic of rural farmers, the design and development of this milk churning mechanism is initiated as research project. The outcome is intended to serve as resourceful tool in the milk production.
Keywords: churner, energetic, exponential, agriculture, robust.
[1]. R.V.Paropate, Mahesh S. Gorde , "Pedal Operated Butter Churner: Design and Development for Rural Area," International Journal of Engineering Science and Computing, vol. 6, no. 5, pp. 5019-5021, 2016.
[2]. A. Aljaafreh, "Butter Churning Process Automating Based on Acoustic Signals," JOURNALOFCOMPUTING, vol. 3, no. 5, pp. 38-41, 2011.
[3]. Adarsh M. Kalla, C. Sahu, A. K. Agrawal, P. Bisen, B. B. Chavhan, Geetesh Sinha, "Development and performance evaluation of frustum cone shaped churn for small scale production of butter," Department of Dairy Engineering, College of Dairy Science & Food, pp. 2219-2226, 2016.
[4]. TANNAZ AMINZADEH VAHEDI, MOHAMMAD HADI GIVIANRAD, YOUSEF RAMEZAN1, "Effect of Churning Process on Heavy Metals in Cream, Butter and Butter Milk," ORIENTAL JOURNAL OF CHEMISTRY, vol. 31, no. 2, pp. 1141-1146, 2015.
[5]. A. Tsedey,Z. Bereket, T.Genene , "Implications of Introducing Improved Butter Churner on Churning Time and Butter Making Efficiency," Journal of Food and Dairy Technology, vol. 6, no. 2, pp. 1-7, 2018.


Paper Title :: Research on Integrated Algorithm for Travel Question Text Classification
Author Name :: Jian Wang
Country :: China
Page Number :: 43-51
Question classification has become an important task in the research of automatic question answering but remain challenging for complexity of problem, which can be analyzed from syntax and semantic subspace generally. Consequently, an integrated algorithm that mixes multiple deep learning models is proposed to capture the syntactic information and deep semantic subspace information of travel-related textsin this paper. On the one hand, a word-level Convolutional Neural Network (CNN) can acquires low-level subspace structure information from a travel-related text sequence to improve the characterizing ability of text-level spatial structure information.On the other hand, a sentence-level Bi-directional Long Short-Term Memory Network (Bi-LSTM)obtains the global deep semantic and syntactic information of the text from the text sentence, and complements the low-level spatial structure information acquired by the word-level CNN. Furthermore, the multi-headed self-attention mechanism is used to integrate the both networksabove, and assign weights of attention to the captured features. Finally, accurate classification of texts in the tourism field is achieved through the SoftMax classifier at the end of the model. The experimental results indicate that the proposed integrated algorithm improves the accuracy of travel text classification, compared with the traditional deep learning model.
Keywords: Bidirectional long short-term memory network, Convolutional neural network, Deep abstract semantic information, Low-level subspace structure information, Multi-headed attention
[1] X.S.Liu, and L.I.Kun. Design and Implementation of Tourism Events Text Classification System Based on BP-NN,Computer & Modernization, 2011, 7(7):192-194.
[2] J.Z. Liu, W.C.Chang, Y.Wu, Y.X. Wu, and Y.M. Yang. Deep Learning for Extreme Multi-label Text Classification, International AcmSigir Conference on Research & Development in Information Retrieval. ACM, 2017.
[3] B.Zhao, J.S.Feng, X.Wu, and S.C. Yan. A survey on deep learning-based fine-grained object classification and semantic segmentation,International Journal of Automation and Computing, 2017, 14(2):119-135.
[4] M.K. Dalal, and M.A. Zaveri. Automatic Text Classification of sports blog data, Computing, Communications&Applications Conference. IEEE, 2012. doi:10.1109/comcomap.2012.615480.
[5] T. Salles,L. Rocha,F.Mourão,M. Gonçalves,F.Viegas, and W.Meira. A Two-Stage Machine learning approach fortemporally-robust text classification[J]. Information Systems,2017,69.


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