Electronic chip cooling in horizontal configuration using fluent-gambit

In electronic equipments, thermal management is indispensable for its longevity and hence it is once of the important topics of current research. These electronic equipments are virtually synonyms with modern life, for instance appliances, instruments and computer specifications. The dissipation of heat is necessary for its proper function. The heat is generated by the resistance encountered by electric current. This has been further hastened by the continued miniaturization of electronic systems which causes increase in the amount of heat generation per unit volume by many folds. Unless proper cooling arrangement is designed, the operating temperature exceeds permissible limit. As a consequence, chances of failure get increased. A typical electronic system consists of several wire boards, known as printed circuit board (PCB), on which large numbers of components are mounted. These PCBs are housed in an enclosure to protect them from detrimental affect of environment, and also to protect users from electronic hazards. The enclosure has large number of vents on it to facilitate passage of cooling air. The flow of air over the components is maintained either by fan or by free convection generated due to heated components. The rate of the cooling of components strongly depends on the shape and size of the enclosure, and also on the shape, size and location of vents. The objective of the present study is to investigate the influences of these parameters on cooling of the components. In this project, the heat and fluid characteristics of air in a 3-D horizontal channel with multiple square obstructions have been considered. The problem will be solved by using the software package FLUENT-GAMBIT. The stream lines and will be plotted for visualization and to study the heat transfer phenomena. FLUENT is a computational fluid dynamics (CFD) software package to simulate fluid flow problems. It uses the finite-volume method to solve the governing equations for a fluid. It provides the capability to use different physical models such as incompressible or compressible, in viscid or viscous, laminar or turbulent, etc. Geometry and grid generation is done using GAMBIT which is the preprocessor bundled with FLUENT

GSM Controlled Automatic Irrigation System

Volume 7 Issue 8 (August 201

An Unusual Association of Cemento-ossifying Fibroma with an Odontoma in Mandible: A case report

Cemento-ossifying fibroma is a fibro-osseous lesion of jaws, commonly present as a progressively growing lesion, if left untreated can attain an enormous size with resultant deformity. They commonly affect adult females between third and fourth decade of life, predominantly occurring in premolar/molar region of mandible. Odontomas are benign tumors of odontogenic origin characterized by their slow growth. They consist of enamel, dentine, cementum and pulpal tissue and constitute 22% of all odontogenic tumors. We have discussed a case of cemento-ossifying fibroma (COF) involving right mandibular region together with an odontoma present in left mandibular posterior region in a 35year old female patient with its clinical, radiographical, histological and surgical findings

Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving

Talk2BEV is a large vision-language model (LVLM) interface for bird's-eye view (BEV) maps in autonomous driving contexts. While existing perception systems for autonomous driving scenarios have largely focused on a pre-defined (closed) set of object categories and driving scenarios, Talk2BEV blends recent advances in general-purpose language and vision models with BEV-structured map representations, eliminating the need for task-specific models. This enables a single system to cater to a variety of autonomous driving tasks encompassing visual and spatial reasoning, predicting the intents of traffic actors, and decision-making based on visual cues. We extensively evaluate Talk2BEV on a large number of scene understanding tasks that rely on both the ability to interpret free-form natural language queries, and in grounding these queries to the visual context embedded into the language-enhanced BEV map. To enable further research in LVLMs for autonomous driving scenarios, we develop and release Talk2BEV-Bench, a benchmark encompassing 1000 human-annotated BEV scenarios, with more than 20,000 questions and ground-truth responses from the NuScenes dataset.Comment: Project page at https://llmbev.github.io/talk2bev

Recognizing Emotion in the Wild Using Multimodal Data

In this work, I will present our approach of using multi-modal data for recognizing human emotion and behavior in the wild. The study is divided into four tasks: group emotion recognition, driver gaze prediction, student engagement prediction, and emotion recognition using physiological signals. We explore multiple approaches including classical machine learning tools such as random forests, state-of-the-art deep neural networks, and multiple fusion and ensemble-based approaches. We also show that similar approaches can be used across tracks as many of the features generalize well to the different problems (e.g. facial features)

Managing Information Exchange by Improving Information Flows in a Customer-to-Customer Process

This thesis aims to manage information exchange at the case company by designing an information exchange map using a business process model for the customer-to-customer process, together with structuring team meetings and creating ground rules for efficient information exchange. The Damper Division of ZF Friedrichshafen AG (case company), Schweinfurt (SCW) has recently decided to move the production ofits high running parts to its facility in Pune, India. The project is facing typical Supply Chain Management challenges like delay in serial production and delivery schedules, lack of information exchange, ambiguity over roles and responsibilities, and redundant communication between the two facilities SCW and Pune, thus incurring a high transaction cost and low coordination. The literature review about information flows, business processes and process integration provided four principles that help to integrate the information flow between processes. These principles are – accessibility, transparency, granularity, and timeliness. The analysis pointed that there are information gaps and interrelationship issuesbetween the stakeholders of the project. The issues identified were the need for an information exchange map which can be relied on by all of the stakeholders, timely information exchange, defined responsibilities and roles, and efficient communication. Standardization of information exchange with the help information exchange map together with information sharing rules emerged out as the main conceptual design. This was followed by a participatory design phase where the design was developed together with the stakeholders of the project.Based on the final design with information sharing rules (meeting structure and ground rules), a set of recommendations (including an implementation plan) were laid out to help the managers steer the final design to the best of their use. Currently, the case company is about to implement the design together with the meeting structure and ground rules. It was recommended that the future objective of the company should be to achieve a control tower for central data collection and using the data to generate insights

Object sequences: encoding categorical and spatial information for a yes/no visual question answering task

The task of visual question answering (VQA) has gained wide popularity in recent times. Effectively solving the VQA task requires the understanding of both the visual content in the image and the language information associated with the text‐based question. In this study, the authors propose a novel method of encoding the visual information (categorical and spatial object information) of all the objects present in the image into a sequential format, which is called an object sequence. These object sequences can then be suitably processed by a neural network. They experiment with multiple techniques for obtaining a joint embedding from the visual features (in the form of object sequences) and language‐based features obtained from the question. They also provide a detailed analysis on the performance of a neural network architecture using object sequences, on the Oracle task of GuessWhat dataset (a Yes/No VQA task) and benchmark it against the baseline

Efficient Wireless Phone Charging using Mutual Induction

Volume 7 Issue 8 (August 201