ANN for Predicting Temperature and Humidity in the Surrounding Environment

Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict temperature in the surrounding environment. A number of factors were identified that may affect temperature or humidity. Factors such as the nature of the surrounding place, proximity or distance from water surfaces, the influence of vegetation, and the level of rise or fall below sea level, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using data from several regions in the surrounding environment. The evaluation of testing the dataset shows that the ANN model is capable of correctly predicting the temperature with 100% accuracy

Prospects of economic cooperation in the Bangladesh, China, India and Myanmar region: A quantitative assessment

This paper quantifies the economic impact of Bangladesh, China, India and Myanmar (BCIM) economic cooperation and compares it with the alternative option of expanding South Asian Free Trade Area (SAFTA) with China and Myanmar. The paper examines the macro-economic performance of the individual countries and the current level of trade among the BCIM member countries at the regional level.BCIM, SAFTA, Economic Impact

PENGARUH KEPEMIMPINAN, MOTIVASI DAN DISIPLIN KERJA, TERHADAP KINERJA GURU MI TARBIYATUS SYARIFAH

Peran Kinerja Guru sangat penting pada proses belajar mengajar siswa di sekolah. Kinerja Guru yang baik mampu mengembangkan potensi peserta didik agar menjadi manusia yang beriman dan bertakwa kepada Tuhan Yang Maha Esa, berakhlak mulia, sehat, berilmu, cakap, kreatif, mandiri, serta menjadi warga negara yang demokratis dan bertanggung jawab. Maka diperlukan dukungan Kepemimpinan, Motivasi dan Disiplin Kerja guna meningkatkan Kinerja Guru. Salah satunya adalah Sekolah MI Tarbiyatus Syarifah perlu memperhatikan aspek sumber daya manusia kepada para Guru guna meningkatkan Kinerja Guru dengan membuat hubungan yang baik antar Kepemimpinan Kepala sekolah dengan para guru dapat meningkatkan Disiplin Kerja Guru hingga memberikan Motivasi untuk setiap Guru. Tujuan penelitian ini untuk mengetahui dan menganalisis Pengaruh Kepemimpinan, Motivasi dan Disiplin Kerja terhadap Kinerja Guru baik secara parsial maupun simultan pada MI Tarbiyatus Syarifah Sidoarjo. Metode penelitian yang digunakan adalah analisis regresi linier berganda dengan alat bantu SPSS. Sampel dalam penelitian ini dilakukan dengan metode kuesioner dan jumlah responden 55 guru. Hasil penelitian menunjukkan bahwa variabel Kepemimpinan berpengaruh positif dan signifikan terhadap Kinerja Guru MI Tarbiyatus Syarifah dengan hasil uji t sebesar 0,000 < 0,05, variabel Motivasi berpengaruh positif dan signifikan terhadap kinerja guru MI Tarbiyatus Syarifah dengan hasil uji t sebesar 0,018 < 0,05 dan variabel Disiplin Kerja berpengaruh positif dan signifikan terhadap kinerja guru MI Tarbiyatus Syarifah dengan hasil uji t sebesar 0,010 < 0,05

The Effects of Family Planning on Malnutrition in Bangladesh

Some of the best historical and archeological evidence has claimed that about a million years was required for the human race to reach the 250 million mark by the beginning of the Christian era. Pestilence, famine and war had then reduced the population increase to a tiny fraction of 1% per year, requiring 16 centuries for the world population to double to 500 million. However, by 1850, 250 years later, the population doubled to the one billion mark. As of 1993, approximately one and a half centuries later, the world population stood at about 5.5 billion. According to United Nations demographers, by the year 2000 - a mere twinkling of an eye - the population is estimated to increase to 6.9 billion. In less than half a lifetime the population increase will exceed the total achieved in almost a million years. This has been calculated out to an average of about three births occuring every second and about two million every week. A calm consideration of the bearing of the population increase on the life and welfare of the race is not calculated to lull one to sleep but to spur one to action. The acuteness of this problem increases enormously by the fact that the greatest increases in population are occuring in the developing nations least able to sustain them. In Bangladesh, India, Pakistan, China, Africa, and Latin America, where poverty is rampant, the population has soared to new heights. In Bangladesh, the population as of 1993 was estimated at 122,254,849. An over-populated nation such as this inevitably faces problems of a lack of food, and hence, a lack of necessary nutrients for its people. The purpose of this study is to present the reader with an idea of the severity of the problem of malnutrition in Bangladesh and to suggest a few likely causes of and possible solutions to malnutrition. It is a cross-sectional study comprising of fifty-one low and lower-middle income nations. The countries in the sample are listed in Appendix A. Four independent variables have been chosen for the regression, two of which, the contraceptive prevalence rate and the illiteracy rate have proven to be insignificant, and the other two, per capita GNP and the percentage of poulation urbanized are significant. It should be mentioned that the logs of all these variables are the actual values used in the study. The paper further explains the likely presence of specification bias and the different factors which may be the cause of it. This paper will then conclude that the independent variables used should all be strongly significant and that the lack of data availability is a probable cause of the unexpected regression results

Interference coordination for LTE-advanced and FM broadcasting interoperability

The surest way to guarantee that multiple wireless systems can concurrently exist harmlessly, when operating in the same or adjacent channel, is by analyzing spectrum overlapping. This paper proposes a more accurate model to evaluate the interference power from co-channel and adjacent channel of orthogonal frequency division multiplexing-based long term evolution-advanced (LTE-Advanced) towards broadcasting frequency modulation systems at 800 MHz. Power spectral density overlapping factor is employed, and closed form of the interference power loss is derived. Numerical results demonstrate that the proposed method evaluates more exact interference power than the advanced minimum coupling loss (A-MCL) method, where the co-channel and adjacent channel interference powers are reduced by 1.3 and 3 dB, correspondingly, compared to that obtained using the AMCL method. This decreases the minimum separation distance between the two systems, which can eventually lead to efficient radio spectrum resources utilization

Mono and Multi-Objective Optimization and Modeling of Machining Performance in Face Milling of Ti6Al4V Alloy

Titanium alloys are extensively used in numerous industries like aerospace, automotive, military, etc., due to their exclusive characteristics. But machining these alloys has always been challenging for manufacturers. This research investigates the effect of radial depth of cut on cutting forces, tool life, surface roughness (Ra), and material removal rate (MRR) during face milling of Ti6Al4V alloy. It also aims to perform mono and multi-objective optimization of response characteristics to determine the optimal input parameters, namely cutting speed, feed rate, and radial depth of cut. Taguchi method and analysis of variance (ANOVA) have been used for mono-objective optimization, whereas Taguchi-based Grey relational analysis (GRA) and Genetic algorithm (GA) have been used for multi-objective optimization. Regression analysis has been performed for developing mathematical models to predict Ra, tool life, average cutting forces, and MRR. According to ANOVA analysis, the most significant parameter for tool life is cutting speed. For MRR and average cutting force (Avg. FY), the most influential parameter is the radial depth of cut. On the other hand, feed rate is the most significant parameter for Ra and average feed force (Avg. FX). The optimal combination of input parameters for tool life and Avg. FY is 50 m/min cutting speed, 0.2 mm/rev feed rate, and 7.5 mm radial depth of cut. However, the optimal parameters for Ra are 65 m/min cutting speed, 0.2 mm/rev feed rate, and 7.5 mm radial depth of cut. For Avg. FX, the optimal conditions are 57.5 m/min cutting speed, 0.2 mm/rev feed rate, and 7.5 mm radial depth of cut. Similarly, for MRR, the optimal parameters are 65 m/min cutting speed, 0.3 mm/rev feed rate, and 12.5 mm radial depth of cut. A validation experiment has been conducted at the optimal Ra parameters, which shows an improvement of 31.29% compared to the Ra measured at the initial condition. A minor error has been found while comparing the experimental data with the predicted values calculated from the mathematical models. GRA for multi-objective (3 objectives: tool life, Ra, and Avg. FY) optimization has improved 55.81% tool life, 6.12% Ra, and 23.98% Avg. FY. ANOVA analysis based on grey relational grade has demonstrated that radial depth of cut is the most significant parameter for multi-objective (three objectives) optimization during the face milling of Ti6Al4V. The results obtained from the GRA considering four output characteristics (tool life, Ra, Avg. FY, and MRR) are compared with GA optimization results for both roughing and finishing, and a negligible deviation has been observed