Electric towage machinery

This paper deals with the basic knowledge for Technicians to study about the concept of maintenance of Induction motor. In addition Induction Motor types, main parts were discussed. Additions to the various factors influencing the selection of Starter were discussed. In this paper Induction motor common troubles, causes and their Remedies were discussed in simple manner. This paper also covers the various Causes of Noise, Vibration and Bearing Failure.

Machine learning based malware detection algorithms are usually integrated into antivirus software and therefore they are black-box systems to malware authors. It is hard for malware authors to know which classifier a malware detection system uses and the parameters of the classifier. However, it is possible to figure out what features a malware detection algorithm uses by feeding some carefully designed test cases to the black-box algorithm. Malware authors can modify a benign program’s DLL or API names to malware’s DLL or API names, and vice versa.  If the detection results change after most of the modifications, they can judge that the malware detection algorithm uses DLL or API features. Therefore, in this paper we assume that malware authors can know what features a malware detection algorithm uses but know nothing about the machine learning model. The proposed model in this paper uses GANs, which generates adversarial examples to attack black-box malware detection algorithms. A substitute detector is trained to fit the black-box malware detection algorithm, and a generative network is used to transform malware samples into adversarial examples. Experimental results show that almost all the adversarial examples generated by GANs successfully bypass the detection algorithms.

Abstrak — Di daerah Jalan Gatot Subroto Barat, Denpasar terjadi permasalahan yang terjadi di daerah ini adalah tower PLN SUTT 150 kV no.71 menghalangi jalan masuk ke lahan milik warga, sehingga harus melakukan rekayasa DPT dengan memotong sebagian tanah timbunan serta DPT tipe gravitasi yang telah ada sebelumnya tanpa mengurangi keamanan konstruksi tower SUTT dan mengganti dengan DPT dari tiang bor (bored pile). Setelah melakukan penyelidikan tanah dan diuji di laboratorium dihasilkan nilai sudut geser tanah (ϕ) = 30º dan berat volume (γ) = 1,6 gr/cm 3. Berdasarkan analisis pada DPT diperoleh nilai momen maksimum (M maks) = 2.384,248 kg.m dan gaya geser maksimum (D maks) = 1.098,952 kg. Hasil perhitungan DPT dari susunan tiang bor beton bertulang dengan diameter 40 cm diperoleh kedalaman pemancangan 4,5 m dan tinggi DPT 3,5 m diatas tanah, sehingga dibutuhkan tiang bor (bored piled) dengan panjang 8 m sebanyak 35 buah. Tiang bor (bored piled) diameter 40 cm menggunakan tulangan longitudinal 6D16 dan tulangan geser menggunakan tulangan Ø10-250. Luas lahan baru yang didapatkan akibat pengurangan eksisting di bagian utara (depan) diperoleh lahan sebesar 5,0 x 11,7 m 2 dan jalan akses di bagian timur dari 2,5 m menjadi 3,9 m. Kata kunci: dinding penahan tanah, tower SUTT, bored pile. Abstract — In area Jalan Gatot Subroto Barat, Denpasar there is a problem when the tower PLN SUTT 150 kV no.71 blocking the entrance to the land belonging to the people, so it must be modified of retaining wall by cutting a portion of the soil embankment and existing gravity retaining wall without decreasing safety SUTT tower construction, and replace by bored pile retaing wall. After investigating the soil and tested in the laboratory generated angle of friction (ϕ) = 30º and density (γ) = 1.6 g/cm 3. Based on the analysis obtained the maximum moment (M max) = 2,384.248 kg m and maximum shear force (D max) = 1,098.952 kg. Retaining wall calculation results the composition of bored pile of reinforced concrete with a diameter of 40 cm was installed in the ground 4.5 m and height 3.5 m above the ground, so it takes a bored piled with 8 m long by 35 pieces. Bored piled with diameter 40 cm using 6D16 main longitudinal reinforcement and shear reinforcement using Ø10-250. The new land area obtained as a result of the reduction of existing retaining wall in the north (front side) is 5.0 x 11.7 m 2 and access roads in the eastern part wider from 2.5 m to 3.9 m.

Cloud computing has gained popularity over the years, some organizations are using some form of cloud computing to enhance their business operations while reducing infrastructure costs and gaining more agility by deploying applications and making changes to applications easily. Cloud computing systems just like any other computer system are prone to failure, these failures are due to the distributed and complex nature of the cloud computing platforms. Cloud computing systems need to be built for failure to ensure that they continue operating even if the cloud system has an error. The errors should be masked from the cloud users to ensure that users continue accessing the cloud services and this intern leads to cloud consumers gaining confidence in the availability and reliability of cloud services. In this paper, we propose the use of N-Modular redundancy to design and implement failure-free clouds.

High power wideband amplifiers are demanded in many application areas, such as software defined radio, electronic warfare (EM), instrumentation systems, etc. The quality of the wireless communication system requires demand for compact, low-cost, and low power transportable transceivers has augmented dramatically. Among the transceiver’s building blocks is that the power electronic equipment. Thus, there's a desire for low-priced power electronic equipment. It’s necessary to think about the MOSFET gate-to-drain capacitance for achieving the class-E Zero Voltage Switching conditions. As a result, the ability output capability and therefore the power conversion potency are full of the MOSFET gate-to-drain capacitance. The waveform obtained from Analog to Digital simulations and circuit experiments showed the quantitative agreements with the theoretical predictions.

In order to support and supervise patients, the key detection and estimation of cancer type should establish a compulsion in the cancer research. Many research teams from the biomedical and bioinformatics fields have been advised to learn and evaluate the use of machine learning (ML) methods because of the relevance of classifying cancer patients into high or low risk clusters. To predict breast cancer, the logistic regression method and many classifiers have been proposed to generate profound predictions about breast cancer data in a new environment. This paper discusses the various approaches to data mining using classification to create deep predictions that can be applied to Breast Cancer data. In addition, by testing datasets on different classifiers, this analysis predicts the best model that delivers high efficiency. In this paper, the UCI machine learning repository has 699 instances with 11 attributes collected from the Breast cancer dataset. First, the data set is pre-processed, visualized and fed to different classifiers such as Logistic Regression, Support Vector Classifier, K-Nearest Neighbour, Decision Tree and Random Forest. 10-fold cross validation is implemented and testing is carried out in order to create and validate new models. Effective analysis shows that Logistic Regression generates the deep predictions of all classifiers and obtains the best model delivering strong and precise outcomes, followed by other methods: Support Vector Classifier, K-Nearest Neighbour, Decision Tree and Random Forest. Most models were less reliable compared to the approach of logistic regression.

Cuando ocurre una falla en un sistema de distribución de energía eléctrica de topología radial, el aislamiento de la sección donde ocurrió la falla provoca el aislamiento de algunas porciones del alimentador aguas abajo del área fallada, por lo tanto, el paso a seguir debe ser restaurar el servicio a los usuarios afectados. Dicha restauración debe hacerse tan rápido como sea posible, teniendo en cuenta restricciones de topología del sistema y capacidad de los alimentadores. En este artículo se presenta un método heurístico que permite la restauración del servicio mediante la reconfiguración de alimentadores. Se presentan los resultados para un sistema de distribución de 11 barras y tres alimentadores principales.

MSC: 78M32

— Various tone mapping methods have been proposed to make image better concurrent to human visual observation. In general, tone mapping can also be carried in nearby and/or world features. In this work, a progressive tone mapping framework such as wavelet filter and spongy thresholding are proposed to diminish the noise this 4% quicker than bayshrink process. It's one of a kind curve centred universal tone mapping methods that increase the bright and darkish regions. Peak Signal Noise Ratio (PSNR) value is calculated to know the enrichment value. Simulation outcome show that the proposed schemes achieve high contrast improvement.