Electricity Costs Control with Supervised Learning

2021 ◽  
Author(s):  
Vladimir Tsyganov
Keyword(s):  
Supervised Learning ◽  
Electricity Costs

A Supervised Learning Approach for Dynamic Sampling (SLADS) in Raman Hyperspectral Imaging

2018 ◽  
Vol 2018 (15) ◽  
pp. 132-1-1323
Author(s):  
Shijie Zhang ◽  
Zhengtian Song ◽  
G. M. Dilshan P. Godaliyadda ◽  
Dong Hye Ye ◽  
Atanu Sengupta ◽  
...  
Keyword(s):  
Supervised Learning ◽  
Hyperspectral Imaging ◽  
Learning Approach ◽  
Dynamic Sampling

Pembuatan Pilot Project Pengolahan Air Limbah Industri Rambut Palsu dengan Sistem Lumpur Aktif

2016 ◽  
Vol 8 (15) ◽  
pp. 37-47
Author(s):  
Sri Moertinah ◽  
Misbachul Moenir
Keyword(s):  
Activated Sludge ◽  
Biological Treatment ◽  
Operating Cost ◽  
Pilot Project ◽  
Labor Costs ◽  
Industrial Waste Water ◽  
Microbial Adaptation ◽  
Central Java ◽  
Electricity Costs

This study aims to create a pilot project for wastewater treatment wig industry with biological activated sludge technology to applied in the industry. Design criteria for the pilot project are the influent COD ≤ 900 mg/l, MLSS = 3,000 mg/l, 30-hours residence time. DO ≥ 2 mg/l and flow 10 m3/day. Implementation of a pilot project initiated by seeding aerobic microbes and microbial adaptation to proceed with wastewater to be treated. The trial results showed that the pilot project % COD reduction ranged from 73.2% - 91% and the result is not much different from the results of laboratory-scale research about 89.7% and the quality  of the effluent is already fullfill the standard of industrial waste water wig required by the Central Java Provincial Regulation No. 5 of 2012. The calculation of operating cost of activated sludge biological treatment which includes labor costs, electricity costs, equipment maintenance costs, expenses and other nutrients obtained the price of  Rp. 2972/m3 or Rp. 742.99/wig.ABSTRAKPenelitian ini bertujuan untuk membuat pilot project pengolahan air limbah industri rambut palsu dengan sistem lumpur aktif yang diterapkan di industri. Kriteria desain pilot project tersebut adalah COD influen ≤ 900 mg/l, MLSS = 3.000 mg/l, waktu tinggal 30 jam DO≥2 mg/l  dan debit air limbah 10 m3/hari. Pelaksanaan pilot project dimulai dengan seeding mikroba aerob dan dilanjutkan dengan adaptasi mikroba dengan air limbah yang akan diolah. Hasil uji coba pilot project menunjukkan bahwa % penurunan COD berkisar antara 73,2% - 91% dan hasil ini tidak berbeda jauh dengan hasil penelitian skala laboratorium sekitar 89,7% dan kualitas air limbah hasil pengolahan sudah memenuhi baku mutu air limbah industri rambut palsu yang dipersyaratkan oleh Peraturan Daerah Provinsi Jawa Tengah No 5 tahun 2012. Dari hasil perhitungan biaya operasional pengolahan biologis lumpur aktif yang meliputi biaya tenaga kerja, biaya listrik, biaya perawatan peralatan, biaya nutrien dan lainnya diperoleh harga sebesar Rp. 2972/m3  atau Rp. 742,99/wig.   Kata kunci : air limbah industri rambut palsu, pilot project, sistem lumpur aktif

Electrical Energy Steam Boiler Heat Loss Analysis in Japfa Comfeed Indonesia Tbk, Unit of Sidoarjo

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Joseph Priyandana ◽  
Jamaaluddin Jamaaluddin
Keyword(s):  
Heat Loss ◽  
Animal Feed ◽  
Electrical Energy ◽  
Operating Costs ◽  
Steam Boiler ◽  
Android Application ◽  
Loss Analysis ◽  
Feed Industry ◽  
Calculation Process ◽  
Electricity Costs

In the animal feed industry, steam is used in pellet making machines. In this process, steam from the boiler is distributed to the pellet mill through the pipe. The purpose of this study is to observe the waste of electricity costs of operating a boiler by calculating heat loss in a distribution pipe. The method of assessing heat loss is done by calculating losses caused by heat loss in the boiler distribution. Then make a calculation application model based on the data obtained. From the data analyzed, the amount of heat lost in the non-insulating distribution pipe is 0.766 kJ/s with a loss of Rp 5.628,600 operating costs per month compared to heat loss in an isolated pipe condition of 0.047 kJ/s with losses which cost slightly more than Rp 368 190 / month. This heat loss calculation process is made on an android application by entering the calculation formula on the program and the data that has been obtained.

Pembobotan Berdasarkan Tingkat Kesamaan Semantik pada Metode Fuzzy Semi-Supervised Co-Clustering untuk Pengelompokkan Dokumen Teks

2014 ◽  
Vol 6 (2) ◽  
pp. 46-51
Author(s):  
Galang Amanda Dwi P. ◽  
Gregorius Edwadr ◽  
Agus Zainal Arifin
Keyword(s):  
Supervised Learning ◽  
Semantic Similarity ◽  
The Other ◽  
Classification Result ◽  
Document Similarity ◽  
The Matrix ◽  
Index Terms ◽  
Membership Value ◽  
Degree Of Similarity

Nowadays, a large number of information can not be reached by the reader because of the misclassification of text-based documents. The misclassified data can also make the readers obtain the wrong information. The method which is proposed by this paper is aiming to classify the documents into the correct group.  Each document will have a membership value in several different classes. The method will be used to find the degree of similarity between the two documents is the semantic similarity. In fact, there is no document that doesn’t have a relationship with the other but their relationship might be close to 0. This method calculates the similarity between two documents by taking into account the level of similarity of words and their synonyms. After all inter-document similarity values obtained, a matrix will be created. The matrix is then used as a semi-supervised factor. The output of this method is the value of the membership of each document, which must be one of the greatest membership value for each document which indicates where the documents are grouped. Classification result computed by the method shows a good value which is 90 %. Index Terms - Fuzzy co-clustering, Heuristic, Semantica Similiarity, Semi-supervised learning.

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