Sensformer: Powering the future with digitalized transformers

Transformer digitalization is a critical aspect of the development of a smart grid. Siemens Energy has developed a digital transformer solution called Sensformer, which integrates various sensors, communication interfaces, and data analytics capabilities into the transformer to enable advanced monitoring, diagnostics, and prediction capabilities. This article presents an overview of the Sensformer and its key features. It describes the installation and commissioning process of the Sensformer and the benefits of the technology in terms of improved reliability, efficiency, and safety of power systems. A case study is presented to demonstrate the features of the Sensformer in real-world applications, such as detecting hot spots in transformer windings, predicting transformer ageing, performing DGA and optimizing transformer loading based on real-time condition monitoring. The results show that the Sensformer can significantly enhance the performance and value of transformers and provide a reliable and cost-effective solution for grid digitalization

A REVIEW: RAPID PROTOTYPING TECHNIQUES FOR DESIGNING AND MANUFACTURING OF CUSTOMIZED ANATOMICAL IMPLANTS

ABSTRACT Rapid prototyping (RP) technologies are mostly related with applications in the product development and the design process as well as with small batch manufacturing. Due to their comparatively high rapidity and flexibility, however, they have also been engaged in various nonmanufacturing applications. A field that attracts increasingly more attention by the scientific community is related to the application of technologies in medicine and health care. The associated research is focused both on the development of specifically customized or new methods and systems based on principles, as well as on the applications of existing systems assisting health care services. In this paper, representative case studies and research efforts from the field of medical applications are presented and discussed in detail. The case studies included cover applications like the fabrication of custom implants and scaffolds for rehabilitation, models for pre-operating surgical planning, anatomical models for the mechanical testing and investigation of human bones or of new medical techniques, drug delivery devices fabrication, as well as the development of new techniques specifically designed for medical applications

Recent Trends in Computing

ABSTRACT Huge amount of video data is being generated every day, with enormous growth of security and surveillance system. It is immensely challengeable for researcher to search and retrieve accurate human face of interest from video with utmost speed. The proposed work is stimulated from the same concern. It would be the future demand for searching, browsing, and retrieving human face of interest from video database for several applications. This paper proposes the novel algorithm for human face retrieval from video database based on holistic approach. The Viola and Jones frontal face detector detect the face region. The next stage is face extraction which have input for grouping individual faces. The individual group of faces has converted into single normalized mean face using PCA. The final face group contains single face for each person occurred in video. After the pre-processing of normalized faces, recognition is performed on the basis of query face image

Analysis of Information Visualization Techniques for Abstract data on Mobile Devices

To perform visualization on mobile devices different types of data may use like text, picture, maps, physical objects, abstract data etc. According to data visualization is categorized in two areas of visualization that is, scientific visualization and information visualization. Scientific visualization refers to some specific type of data like physical data and it is used for computer modeling and simulation. Information visualization refers to abstract data and used in business and finance, administration, digital media and other abstract concepts. The physical and abstract data is only one classification but there are others classification like static and dynamic data, structured and unstructured data, or hierarchical and non-hierarchical data classification. This paper is focus on information visualization of abstract data on mobile devices

Global spinal deformity from the upper cervical perspective. What is Abnormal in the upper cervical spine?

Hypothesis: Reciprocal changes in the upper cervical spine correlate with adult TL deformity modifiers. Design: This was a retrospective review. Introduction: The upper cervical spine has remarkable adaptability to wide ranges of thoracolumbar (TL) deformity. Methods: Patients \u3e18 years with adult spinal deformity (ASD) and complete radiographic data at baseline (BL) and 1 year were identified. Patients were grouped into component types of the Roussouly classification system (Type 1: Pelvic incidence [PI] Results: A total of 343 ASD patients were analyzed. When grouped by BL Schwab and Roussouly, Group Conclusions: Our study suggests that upper cervical alignment remains relatively stable through most broad variations of adult TL deformity. Changes in SVA correlated most with upper cervical changes

Case Report - Pediatric intramedullary schwannoma without neurofibromatosis

Pediatric intramedullary schwannoma without neurofibromatosis is extremely rare with only five cases reported so far. We present this rare finding in an 8-year-old boy who presented with a sudden onset of weakness in all limbs. An intraoperative diagnosis of schwannoma enabled us to carry out a total excision of the tumor, which resulted in near complete recovery at 18 months follow-up. Although rare, this diagnosis should be considered when a child presents with a solitary intramedullary tumor, since its total resection can be achieved improving surgical outcome