International Journal of New Practices in Management and Engineering
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Analysis & Numerical Simulation of Indian Food Image Classification Using Convolutional Neural Network
Full text linkRecognition of Indian food can be assumed to be a fine-grained visual task owing to recognition property of various food classes. It is therefore important to provide an optimized approach to segmentation and classification for different applications based on food recognition. Food computation mainly utilizes a computer science approach which needs food data from various data outlets like real-time images, social flat-forms, food journaling, food datasets etc, for different modalities. In order to consider Indian food images for a number of applications we need a proper analysis of food images with state-of-art-techniques. The appropriate segmentation and classification methods are required to forecast the relevant and upgraded analysis. As accurate segmentation lead to proper recognition and identification, in essence we have considered segmentation of food items from images. Considering the basic convolution neural network (CNN) model, there are edge and shape constraints that influence the outcome of segmentation on the edge side. Approaches that can solve the problem of edges need to be developed; an edge-adaptive As we have solved the problem of food segmentation with CNN, we also have difficulty in classifying food, which has been an important area for various types of applications. Food analysis is the primary component of health-related applications and is needed in our day to day life. It has the proficiency to directly predict the score function from image pixels, input layer to produce the tensor outputs and convolution layer is used for self- learning kernel through back-propagation. In this method, feature extraction and Max-Pooling is considered with multiple layers, and outputs are obtained using softmax functionality. The proposed implementation tests 92.89% accuracy by considering some data from yummly dataset and by own prepared dataset. Consequently, it is seen that some more improvement is needed in food image classification. We therefore consider the segmented feature of EA-CNN and concatenated it with the feature of our custom Inception-V3 to provide an optimized classification. It enhances the capacity of important features for further classification process. In extension we have considered south Indian food classes, with our own collected food image dataset and got 96.27% accuracy. The obtained accuracy for the considered dataset is very well in comparison with our foregoing method and state-of-the-art techniques.
Efficient and Cost-effective Drone – NDVI system for Precision Farming
Full text linkThe motive of the project is to develop a under budget system that automates the process of farming by interfacing cutting edge technologies like Drones and ‘NDVI’ to improve the level of productivity in Agriculture. Humans and satellites have a hard time beating a drone’s eye for detail in scanning farming systems from above. Flying below the clouds, collecting and sending images in almost real-time, unmanned aerial vehicles (UAVs) gained ground quickly in agriculture in the last decade as part of so-called precision agriculture. Among their wide range of applications, they can help farmers check crops’ health, track livestock, plan fertilization, assess damages, and map fields at high-resolution. But all this comes with a cost. Currently the models of drones used for such applications cost extensively higher, which makes it unfeasible for the small farmers, especially in India. The projects aim on designing a drone system that can work on both autonomous as well as manual mode and perform mapping, inspecting and spraying processes with efficiency accuracy and considerably good speed which can help boosting the profits of the farmers with large as well as small agricultural lands. As there are lots of restrictions on Drone flight in India. The project aims to follow and implements all the norms stated by the government. (e.g., Permission before flight). The project aims towards overcoming all the above-mentioned problems by automating the procedure
A Review of Skin Melanoma Detection Based on Machine Learning
Full text linkDermatological malignancies, such as skin cancer, are the most extensively known kinds of human malignancies in people with fair skin. Despite the fact that malignant melanoma is the type of skin cancer that is associated with the highest mortality rate, the non-melanoma skin tumors are unquestionably normal. The frequency of both melanoma and non-melanoma skin cancers is increasing, and the number of cases being studied is increasing at a reasonably regular period, according to the National Cancer Institute. Early detection of skin cancer can help patient’s live longer lives by reducing their mortality rate. In this research, we will look at various approaches for initiating period melanoma skin cancer detection and compare them. Pathologists use biopsies to diagnose skin lesions, and they base their decisions on cell life systems and tissue transport in many cases. However, in many cases, the decision is emotional, and it commonly results in significant changeability. The application of quantitative measures by PC diagnostic devices, on the other hand, allows for more accurate target judgment. This research examines the preceding period as well as current advancements in the field of machine-aided skin cancer detection (MASCD)
Photolithography methods for 3D microstructures and 3D stacking devices
Full text linkA framework streamlining instrument for lithography is made and seemed to create 3D micro-arrangements utilizing light-film photo material resists. Since, the two technique confines in greyscale lithography: presentation partition theme and improvement timescale are settled in this way for a client indicated target 3D profile. This gives a proficient and persuading elective as opposed to standard experimentation-based framework plan. As far as possible were asserted by collecting assorted 3D micro-arrangements and the evaluations uncovered unimaginable quantized synchronization with the objective profile. Likewise, Edge-portrayed nm scale lines are organized in silicon utilizing optical lithography with benchmark materials and preparing device are impeccable with short warm copying through 3D three-dimensional (3D) Integrated Circuit structures. A CVD process is utilized to depict optical spacers with photo-resist spread to arrangement covered layers
A Simulation Approach to Semiconductor Scheduling Problem in Micro-Lithographic Process
Full text linkIn this write up, a scheduling issue and FDC in photolithographic process of semiconductor manufacturing are thought of. By and large, the photolithographic progression is viewed as the most significant processes since it might influence the creation profitability because of its different mechanical traits. Truly, the photolithography hardware comprises of three fundamental parts which are intended to process various sorts of items as a machine for universally useful. Be that as it may, in current semiconductor creation system, a similar kind of item is processed so as to diminish formula change time brought about by changing veils in scanner module. Also, FDC can quickly distinguish strange circumstance of activity machine, in order to improve the yield rate. Along these lines, in this examination, the multi-item creation case with various plans is considered in micro-lithographic process in regards to scheduling issue, and a FDC system is built up that comprising of fluffy deduction system and decision tree to screen and break down warming bend of delicate prepare in micro-lithographic process
Understanding the Concept of Entrepreneurship Management and Its Contribution in Organization
Full text linkEntrepreneurship is the process of implementing innovative business ideas into reality and also provide solutions to challenges which may arise. There is separate dedicated team in an organization which will help the individuals to give their latest and new ideas for startups or idea of new technique and help them to convert it in reality. The team will identify all the risks that are related to that particular idea and provide solutions and helps the business to make profits. There are many types of entrepreneurships which will be discussed in detail in this paper. In order to implement new innovative ideas, the entrepreneurs will perform risk analysis and follows life cycle process and turn the idea into reality. Entrepreneurship management is the field, where the entrepreneurs perform market analysis and try to give innovative ideas for business or give solutions to improve existing ideas which in turn helps to increase the profits of the business. The paper will explain the characteristics and benefits as well as challenges of the entrepreneurshi
A Study to Reconnoitering the dynamics of Talent Management Procedure at Hotels in Jharkhand
Full text linkTalent is the product of capability (skills, education, training, and knowledge), attached with motivation (assignation, gratification, challenge, and well-being) and opportunity (H.G. van Dijk, October 2008). An integrated strategic approach to managing careers involves attracting, retaining, developing, and transitioning people within the organization (Valamis, 2021). The world of knowledge-intensive business considers human resources to be rare and unique. According to most experts, the sector of talent management does not have a clear sense of dimensions, terminology, and a theoretical framework. The goal of this study paper is to investigate and conclude how select hotels in Jharkhand handle and differentiate their staff management operations in terms of talent recruitment and retention. Hotels in Jharkhand use a range of approaches to evaluate the effectiveness of their actions and initiatives, including an overview of how they treat an employee and how they plan to continue to innovate to measure the success of their actions and projects? Additionally, their approach needs to be more inclusive. The findings would be significant for managers who recruit and manage employees, hoteliers, and higher education institutions dealing with the industry's skills gap
An Empirical Study on the Impact of HRD Practices on NPOs in Utilizing Foreign Contributions Received
Full text linkNonprofit organizations in India represent a significant portion and they make a strong contribution to the economic wellbeing of our country. The human resources are vital for achieving the sustainable growth and development of organization. Firstly, objective is to analyze the workforce perception of NPOs towards the HRD practices of NPO. Secondly, the amount of FCR and FCU by NPOs are analyzed and compared. Thirdly, the efficiency of NPOs is measured based on their HRD practices. Lastly the impact of HRD practices on the efficiency of NPOs are measured. Based on the objective’s hypothesis were formulated and tested. The study found that the NPO’s workforce has positively perceived HRD practices followed in their organization. The respondents have agreed and given a positive opinion towards the HRD practices viz., appraisal system, Training and development, career development and recognition, and organizational environment followed in their organizations. The study found that HRD practices have a significant positive impact on the development of NPOs in Karnataka. Large-sized NPOs are generating larger amount, whereas small-sized NPOs are acquiring lesser number of foreign contributions. NPOs with better HRD practices are efficient in utilizing the foreign contributions received by them. The efficiency of the NPOs increases as they adapt better HRD practices, and the efficiency of NPOs decrease as they ignore HRD practices
Lithography Techniques for Optical Nanometric Materials and Nanowires
Full text linkLithography is a basic advance to be taken in the creation procedure of coordinated circuits. There is an imperative job of nano and optical gadgets in the present and future applications. Subsequently, this work canter’s around cutting edge and improved lithography systems on those coordinated circuits. In NFO deposition, photograph separation can occur through non full conditions because of the inalienable properties of the optical nanometric field. Nano photolithography utilizing an Optical-Field Non resounding to electronic changeover method makes it conceivable to utilize different sources to store an assortment of nano metric materials. This impossible to miss photochemical response of an optical close to field can be applied to photochemical reaction. Nano manipulation is a significant innovation to create and amass nanostructures, particularly for the uneven structures. In the strategy, the organized plane of substrate was created by laser-intrusion lithography. Nano-wires were controlled on the organized surfaces through nano-opto grippers in material field. The technique utilizes an example to take care of the issue that a solitary nanowire is too little to even think about being gotten and controlled with nano grippers