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1595 articles for “Point”
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Rehashing State of Art Artificial Intelligence centered Career Counselling Platforms
Abstract: Significant impact due to the rapid computerization and digitization in workplaces have changed the nature of career counselling, choices and development processes. With the ever-changing occupational market, increased number of individuals are facing challenges to acquaintance with the imminent occupations and industries. Significant assistance is offered by career experts to enable people infer, acquire and appraise from these advancements while facilitating in career planning and selection. In India, the career …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 2, 2020 · pp. 28–38 Read article
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Solar System Tracking Using MPPT Tracking
Abstract: Abstract: - Solar energy is a source of energy, which is un-pollutant renewable energy source. It is a part of green energy and smart grid technology. In this energy source the electric powers are generated by sun light. So, it is also called radiant light. Solar technology is further divided in two part, first is active solar and another is passive solar. Output of the solar energy is depends on …
Published in Journal of Advancements in Robotics · Vol. 6, Issue 2, 2019 · pp. 15–17 Read article
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Enhancing Consumer Trust and Satisfaction towards Cloud Services
Abstract: AbstractIn today’s world, consumer of a service is prior and top significant part of a business. Cloud computing is an efficient technology with a vast amount of momentum, and its unique parameters are exacerbating various security and privacy concerns. Going from computations to the “Cloud” is making computing calculations easier towards the users, at the same time it will bring some new security concerns regarding the safe and reliable use …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 52–57 Read article
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Blue Eye Technology
Abstract: In social interaction with other human beings which delivers information by using emotion and facial expression play about their mood that is important part in communication. The “Blue Eyes Technology” creates sensory abilities like those of human beings which enable the computer to gather facts about humans and interact with others. This paper implements the detection of feelings or emotion like fear, surprised, happy, sad and anger; it defines by …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 1, 2020 · pp. 15–18 Read article
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Marketing Strategy in digital age: A Study on some selected banks in Kolkata
Abstract: India’s present business environment is marked by intense competition and complexity set in due to the liberalization policies of the successive Governments. Consequently, the banks have been forced to change its marketing strategy from transaction based to relation based. A reason being with the advent of digital age the customers have the easy option of switching their allegiance with a simple click of a mouse. The banks are now resorting …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 2, 2019 · pp. 7–17 Read article
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Data Hiding Techniques Using Steganography Algorithms
Abstract: Steganography is the method of hiding information or data in a very peculiar manner using cover objects and various techniques. In the last two decades, the adaptability of the digital communication and information sharing arouses the need for data susceptibility and thus steganography comes into play. Derived from Greek word “steganos” meaning hidden, comes steganography or “concealed writing”. It focuses on creating a safe and secure communication link between the …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 1, 2020 · pp. 12–14 Read article
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Online Shopping Intention for Consumer Electronics Products: A Literature Review and Conceptual Model
Abstract: Internet and its related technologies have opened the new spectrum for the marketers. One of the highest growing segments is business to consumer E-commerce. E-commerce offers enormous opportunities for the marketer to promote products and services. Thought these opportunities come along with notable challenges. To capitalize on the opportunities and to develop the strategies to deal with challenges that are prevailing in e-commerce market online retailers and website developers have …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 1, 2020 · pp. 24–32 Read article
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Quality of Work Life: Perception of Employees in Private Technical Educational Institutions in Bhopal, Madhya Pradesh
Abstract: The success and survival of any organization depends upon the potential and motivation of the employees working in it. Several research studies in the world have measured the quality of work of employees in industries, universities, government and nongovernment organizations. This study helps to know the quality of work life of the employees working in private technical educational institutions in Bhopal M.P. This study also highlights the overview of quality …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 2, 2020 · pp. 24–45 Read article
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A Survey Paper on Big Data and Industry
Abstract: AbstractRecent advances in new generation information technologies, cutting-edge digital technologies are being harnessed to optimize and automate production, including upstream supply-chain processes. The ultimate goal of industry is that always-connected sensors embedded in machines, components, and works-in-progress will transmit real-time data to networked IT systems. These, in turn, apply machine learning and artificial intelligence algorithms to analyse and gain insights from this big data and adjust processes automatically as needed. …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 3, 2020 · pp. 27–33 Read article
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Facial Expression Recognition using Convolutional Neural Network
Abstract: Machine learning is a subset of Artificial intelligence. Machine learning enables self-learning from past data and predicts the future. Machine learning is used in many applications such as self-driving cars, Google translate etc. Deep learning is a subset of machine learning. CNN is a convolutional neural network. The CNN approach is very effective in image classification. The target of this exploration is to assist a look acknowledgment framework dependent on …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 1, 2021 · pp. 30–35 Read article
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Overview of Query Materialization
Abstract: AbstractA materialized view (MV) is the pre-calculated (materialized) result of a query. Unlike a simple view, the result of a materialized view is stored somewhere, generally in a table. Materialized views are used when immediate response is needed and the query where the materialized view bases on would take too long to produce a result. Materialized views have to be refreshed once in a while. It depends on the requirements …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 3, 2020 · pp. 35–45 Read article
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Battery Energy Storage System for Grid Connected Power System
Abstract: AbstractThe electrical energy generated through renewable energy sources is stored and dispatched to the grid using the Battery Energy Storage System (BESS). This study presents a Battery Energy Storage System (BESS) with special design and power conversion system. The power conversion system is provided with an automatic power converter and controller enhanced by a faster response. This study also deals with power quality, grid frequency regulation, energy dispatching, renewable energy …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 28–34 Read article
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Performance Evaluation of Segmentation Algorithms for Apple Fruit Grading
Abstract: For supplying high-quality food products within a short time, automated grading of fruits is getting special attention. Fruit grading technique will grade the fruits using their shapes, color and outer look. This emphasizes the necessity of image segmentation which extracts important features from an image. This paper consists of analysis of different segmentation algorithms for detecting damage part of fruit. Marker-based watershed algorithm uses internal and external markers to locate …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 2, 2014 · pp. 34–40 Read article
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Lightweight Directory Access Protocol
Abstract: In today’s distributed computing environment, directories are required to locate resources. This paper describes the Lightweight Directory Access Protocol (LDAP), an open network protocol standard designed to provide access to distributed directories. LDAP provides a mechanism to query or modify information that exists in a directory information tree (DIT). Any combination of ADSI, the LDAP APIs, or a user searching the Active Directory through the User Interface (UI) results in …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 1, 2016 · pp. 1–11 Read article
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A Proposed Coordinate Based Route Selection Technique for MANET
Abstract: Mobile Ad-hoc Network (MANET) is a combination of portable mobile devices or mobile nodes which are communicating with each other without any help of pre-installed base station, infrastructure, centralized administration or access point. Designing and developing a routing protocol for MANET environment is an important issue. While designing a routing protocol, following must be considered: minimizing packet loss, minimizing time delay and minimizing the number of next hop count. Due …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 1, Issue 3, 2014 · pp. 27–33 Read article
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Multispectral Image Denoising using Bi-Directional Recurrent Neural Network with DPCA Algorithm
Abstract: In practices, a Multispectral Images (MSI) image is always prone to corruption by various sources of noises while procuring the images. In this paper we implemented Decomposable Pixel Component Analysis (DPCA) algorithm with recurrent neural network (RNN) which effectively denoised the MSI images. The RNN enables shrinkage of non-reusable data points during DPCA execution and aid it to effectively transform spatial coordinate in a logical manner and reduces the time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 25–30 Read article
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Real-Time OS Based Upon Linux
Abstract: The Linux working framework has turned into the main contrasting option to the working frameworks from Microsoft Corporation that are introduced on all new PCs which use x86-good microchips. It gives a great situation to doing econometric exploration. In this audit, I will clarify what Linux is, talk about its points of interest also, drawbacks from the perspective of an econometrician, and give various references. A large number of the …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 2, 2016 · pp. 19–23 Read article
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Working System Linux as Developing and Runtime Stage for Control System
Abstract: What working framework to pick is a typical issue, important to unravel amid improvement of control framework for atom smasher? It would be extremely alluring to utilize the same working framework concerning improvement of programming segments of control framework concerning runtime both for real-time furthermore, no constant applications. Remote boot-stacking capacities, experienced programming improvement apparatuses, and other focal points of Linux make it extremely valuable for advancement of programming segments …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 2, 2016 · pp. 24–27 Read article
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An Approach to Translate English Voice to Bangla Text for Android EnvironmentAn Approach to Translate English Voice to Bangla Text for Android Environment
Abstract: Voice recognition and machine translation (MT) has become the open research field in the recent years. Voice or speech recognition technique has improved vastly and MT is getting more popular to the modern generation day by day. In this work, we describe the construction method of MT sentence with the help of Google voice recognizer. An adapting rule based statistical MT system has been used to translate the English sentence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 2, 2015 · pp. 23–28 Read article
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To Detect and Overcome Sinkhole Attack in Mobile Ad-hoc Network
Abstract: Mobile ad-hoc network abbreviated as MANET is most emerging and highly demanding wireless network technology. Due to the property of self-deliberate, where all points of network behave like source or router and also, all nodes keep on moving freely in network area. Mobile ad hoc network performs important role in connectionless environment. Security is the most fundamental requirement in mobile ad hoc network to secure the sensitive information from hackers. …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 3, 2015 · pp. 1–8 Read article