A novel centralized supervisory with distributed control system-based microgrid

Supervisory Control and Data Acquisition is a popular control and monitoring scheme and is predominantly used in many industrial systems. Driven by the motivation of extending the usage of the SCADA systems for microgrid, a novel centralized Supervisory Control and Data Acquisition System with Distributed Control Systems is proposed and validated for the microgrid. Supervisory instructions are issued from the central control system, whereas the local controllers are used to implement the exclusive control schemes required for the various subsystems. A wired sensor network is used to monitor the various vital parameters and a Graphical User Interface (GUI) is used for monitoring the status of operation of the various subsystems along with their parametric values. The proposed system is simulated in the MATLAB SIMULINK environment. An experimental verification prototype has also been carried out where a PC (Personal Computer) with a Graphical User Interface developed in C# and a microcontroller is used to act as an interface between the distributed controllers in the plant and the master control PC

Hubungan Sarana Belajar di Rumah dan Motivasi dengan Hasil Belajar

This research was to knew about the correlation of learning facilities at home and learnimg motivation with the Geography learning outcomes of X class students in SMA Muhammadiyah 2 Metro City in 2016/2017. Research method used correlation. The sampling technique used population, which amount 41 students. Data collecting used closed questionnaires, interview and documentation technique. Analysis data used Spearman Rank Correlation and Multiple Linear Regression. The result showed: (1) There was a positive and significant correlation between learning facilities at home and geography learning result. (2) There was a positive and significant correlation between learning motivation and student geography learning result (3) There was a positive and significant correlation between learning at home and learning motivation with student geography learning result.Penelitian ini bertujuan untuk mengetahui tentang hubungan antara sarana belajar di rumah dan motivasi belajar dengan hasil belajar Geografi siswa kelas X di SMA Muhammadiyah 2 Kota Metro tahun pembelajaran 2016/2017. Metode penelitian yang digunakan adalah korelasional. Teknik sampling menggunakan teknik Populasi, yaitu siswa kelas X yang berjumlah 41 siswa Pengumpulan data menggunakan teknik angket tertutup, interview dan dokumentasi. Analisis datanya menggunakan Korelasi Spearman Rank dan Regresi Linier Ganda. Berdasarkan analisis data yang dilakukan, hasil penelitian ini menunjukkan bahwa: (1) Ada hubungan positif yang erat dan signifikan antara sarana belajar dirumah dengan hasil belajar Geografi siswa (2) Ada hubungan positif yang erat dan signifikan antara motivasi belajar dengan hasil belajar Geografi siswa (3) Ada hubungan positif yang erat dan signifikan antara sarana belajar di rumah dan motivasi belajar dengan hasil belajar Geografi siswa

Feature Extraction Methods by Various Concepts using SOM

Image retrieval systems gained traction with the increased use of visual and media data. It is critical to understand and manage big data, lot of analysis done in image retrieval applications. Given the considerable difficulty involved in handling big data using a traditional approach, there is a demand for its efficient management, particularly regarding accuracy and robustness. To solve these issues, we employ content-based image retrieval (CBIR) methods within both supervised , unsupervised pictures. Self-Organizing Maps (SOM), a competitive unsupervised learning aggregation technique, are applied in our innovative multilevel fusion methodology to extract features that are categorised. The proposed methodology beat state-of-the-art algorithms with 90.3% precision, approximate retrieval precision (ARP) of 0.91, and approximate retrieval recall (ARR) of 0.82 when tested on several benchmark datasets

Alterations in tumour suppressor gene p53 in human gliomas from Indian patients

Alterations in the tumour suppressor p53 gene are among the most common defects seen in a variety of human cancers. In order to study the significance of the p53 gene in the genesis and development of human glioma from Indian patients, we checked 44 untreated primary gliomas for mutations in exons 5-9 of the p53 gene by PCR-SSCP and DNA sequencing. Sequencing analysis revealed six missense mutations. The incidence of p53 mutations was 13.6% (6 of 44). All the six mutations were found to be located in the central core domain of p53, which carries the sequence-specific DNA-binding domain. These results suggest a rather low incidence but a definite involvement of p53 mutations in the gliomas of Indian patients

Pola Spasial Indeks Kesulitan Geografis Dan Pengaruhnya Terhadap Pembangunan Kabupaten Gunungkidul

Indonesia merupakan negara dengan beragam kondisi geografis, dari pesisir sampai pegunungan. Keragaman tersebut dapat berpengaruh terhadap proses pembangunan. Selama ini pusat pertumbuhan berada di wilayah dengan topografi datar. Pembangunan di wilayah bergunung dan berbukit menyebabkan biaya menjadi lebih mahal. Kabupaten Gunungkidul merupakan salah satu kabupaten yang pembangunannya masih tertinggal di DIY dan Karakteristik fisiknya lebih kompleks dibandingkan daerah lain. Analisa pola spasial IKG akan memudahkan menentukan lokasi prioritas pembangunan di Gunungkidul. Tujuan dalam penelitian adalah sebagai berikut : 1) Mengidentifikasi pola spasial IKG 2) Mengidentifikasi pola spasial tingkat pembangunan desa, 3) Mengidentifikasi hubungan IKG dengan tingkat pembangunan desa di Kabupaten Gunungkidul. Penelitian menggunakan metode penelitian kuantitatif dengan teknik analisis deskriptif. Analisis pola spasial menggunakan SIG dan analisis hubungan menggunakan korelasi pearson. Indeks Kesulitan Geografis Kabupaten Gunungkidul paling tinggi dibandingkan di DIY. Hasil analisis menunjukkan bahwa 38 desa termasuk dalam klasifikasi rendah, 64 desa (sedang) dan 42 desa berklasifikasi tinggi. Desa dengan kesulitan geografis tinggi relatif banyak di bagian utara dan selatan. Indeks Pembangunan Desa Gunungkidul juga paling rendah di DIY. Desa-desa yang lebih maju berada di bagian tengah kabupaten. Hal ini dimungkinkan daerahnya yang datar, dilalui jalur strategis dan dekat dengan pusat pertumbuhan. Hasil analisis statistik menunjukkan adanya hubungan sangat kuat antara IKG dengan IPD dengan arah negatif. Hal tersebut menunjukkan bahwa semakin rendah nilai IKG maka semakin besar nilai IPD, begitu juga sebaliknya

Maternal and perinatal outcome of Evan’s syndrome: a 5 years study in a tertiary care centre

Background: Evans syndrome is a rare autoimmune disorder characterized by simultaneous or sequential presence of a positive antiglobulin test, autoimmune haemolytic anemia (AIHA), and immune thrombocytopenia (ITP). It is characterised by frequent exacerbations and remissions within a chronic course. It was first described by Robert Evans in 1951.  Incidence of AIHA is 1 per 75 - 80,000 and ITP is 5.5 /100000 per general adult population.  Incidence of Evans syndrome is 1.8% to 10% of patients with ITP. Objective was to study the maternal and perinatal outcome of women with Evans syndrome (E).Methods: About 4 antenatal mothers were identified with Evans syndrome at St. Johns medical college and hospital, Bengaluru during the study period of 5 years from July 2013-July 2017. They were followed up during their antenatal, intra natal and postnatal period and outcomes were studied. All patients included in the study fulfilled the criteria for Evans syndrome.Results: There were 4 cases of Evans syndrome, with a total number of deliveries of 11859, during this 5 year study. Incidence was 0.09 per 1000 births. All patients presented with bleeding manifestations ranging from mucosal haemorrhage to subarachnoid haemorrhage (SAH) at the time of diagnosis. All patients were on treatment with either 1st or 2nd line of management with corticosteroids/ azathioprine. None had bleeding during pregnancy after the initiation of treatment. Patients had antenatal complications like preeclampsia 25%, IUGR 25%, oligohydraminos 50%, IUD 25%. 2 patients received platelet transfusions intrapartum. None had intrapartum or postpartum haemorrhage. There were no maternal and neonatal mortality.Conclusions: Evans syndrome in pregnancy is a rare condition and requires multi disciplinary approach involving specialists from obstetrics, neonatology, and hematology. Close maternal and fetal surveillance and management during pregnancy is essential to increase the possibility of a favourable pregnancy outcome in these women

Community prevalence of antibodies to human immunodeficiency virus in Rural and Urban Vellore, Tamil Nadu

Background: Human immunodeficiency virus (HIV) infection and acquired immunodeficiency syndrome (AIDS) are becoming increasingly common in India. Currently, antenatal prevalence is a surrogate marker for HIV prevalence in the community. The association between antenatal and community prevalence of HIV needs to be validated so that estimates can be verified or adjusted appropriately Methods: A probability proportional to size cluster survey was conducted in the Kaniyambadi block of Vellore district and in the urban wards of Vellore town to estimate the prevalence of antibodies to rubella from August 1999 to February 2000. All personal identifier data from the serum samples were removed to yield a collection for which only the age and sex were known. Estimation of antibodies to HIV in sera from individuals between 15 and 40 years of age, was carried out by one screening ELISA and the reactive sera were further subjected to a supplementary test. Results: We tested 1512 serum samples from subjects residing in rural areas and 1358 samples from those residing in urban areas. The seropositivity among rural samples was 0.66% and among urban samples 1.4%. The prevalence was almost equal among men and women and the youngest infected individual was 15 years old. Conclusion: The prevalence of HIV during the period of study was similar to the national surveillance data for Tamil Nadu based on antenatal women. HIV prevalence differs in urban and rural Tamil Nadu, with urban areas having a higher burden of the disease

Naïve Bayesian Classification Based Glioma Brain Tumor Segmentation Using Grey Level Co-occurrence Matrix Method

Brain tumors vary widely in size and form, making detection and diagnosis difficult. This study's main aim is to identify abnormal brain images., classify them from normal brain images, and then segment the tumor areas from the categorised brain images. In this study, we offer a technique based on the Nave Bayesian classification approach that can efficiently identify and segment brain tumors. Noises are identified and filtered out during the preprocessing phase of tumor identification. After preprocessing the brain image, GLCM and probabilistic properties are extracted. Naive Bayesian classifier is then used to train and label the retrieved features. When the tumors in a brain picture have been categorised, the watershed segmentation approach is used to isolate the tumors. This paper's brain pictures are from the BRATS 2015 data collection. The suggested approach has a classification rate of 99.2% for MR pictures of normal brain tissue and a rate of 97.3% for MR images of aberrant Glioma brain tissue. In this study, we provide a strategy for detecting and segmenting tumors that has a 97.54% Probability of Detection (POD), a 92.18% Probability of False Detection (POFD), a 98.17% Critical Success Index (CSI), and a 98.55% Percentage of Corrects (PC). The recommended Glioma brain tumour detection technique outperforms existing state-of-the-art approaches in POD, POFD, CSI, and PC because it can identify tumour locations in abnormal brain images