Volume 9 | Issue 6 |

 Abstract

The Internet of Vehicles (IoV) provides the concept of coordination of vehicles for enhancing safety of both the driver and the vehicle and also increasing transportation performance. Vehicles are coordinated for avoiding collisions by communicating their positions when they become closer. The information about location is identified by their geographical positions or the ones in road maps. The system can also be made efficient by informing about traffic jams by sharing their locations and destination. In this way, traveling time can be reduced. However, IoV also have some security challenges, such as keeping safe from virtual hijacking. To avoid this, vehicles should detect and avoid the hijacked vehicles ignoring their communications. This system presents a technique for improving security by applying certain prioritization rules, using digital certificates, applying trust policies and incorporating them with block chain technology for detecting and avoiding hijacked vehicles. Based on trust values the corrupted messages are blocked by the system itself and broadcasting of fake messages is completely avoided, thereby enhancing the security.

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 Keywords

Internet of Vehicles (IoV), VANET, Broadcasting messages, RSU, V2V communications

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In a human body, skin is the core part, which helps to cover the muscles, bones what's more with the entire body. These days numerous people are suffering from skin cancer. Malignant melanoma is the deadliest form of skin cancer. The most serious type of cancer is Melanoma, which is the enormous type of skin malignant growth and the extent of these skin cancer is increasing day by day. Melanoma can be easily treatable if detected in early stages. Clinical as well as automated methods are being used for melanoma diagnosis. Image-based computer aided diagnosis systems have great potential for early malignant melanoma detection. Recognizing the type of skin cancer automatically from the images can assist in the quick diagnosis and enhanced accuracy saving valuable time. This paper presents review on automated diagnosis of skin cancer by analyzing image using Image Processing techniques with applying intelligence using Machine Learning. The purpose of this bibliographic review is to provide researchers opting to work in implementing machine learning learning for cancer diagnosis a knowledge from scratch of the state-of-the-art achievements.

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 Keywords

Skin Cancer, Skin Lesion, Melanoma, Image Processing, Machine Learning

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Steganography Encryption is a technology which is used to hide any data or information as an embedded one within another file. Steganography was first used in 440BC. Its main purpose is to hide information from any third person. Data are hidden safely and for embedding data different tools are used where each tool uses different approaches to hide an information. This research is focused on how these technologies are misused by black hat hackers in order to make someone compromise his data and it is not a difficult task that any person who is master in hacking only can be done, it is something anyone can do that is why it is very difficult aspect to identify which image or audio or video is corrupted or embedded with malicious code.

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 Keywords

Steganography encryption, embedding data, malicious code, technology misused

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 Abstract

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 Keywords

DES, AES, Elliptic curve, Signcryption, Unsigncryption, Key generation, Asymmetric algorithms.

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Creative Commons Attribution 4.0 and The Open Definition

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 Keywords

water, agriculture, IoT

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The banks astute profitability examination features that private segment banks are the main entertainer as far as efficiency development over the timeframe and being the essential area in the general development of economy, they are performing in mindful way pursued by their partners. It has likewise been discovered that TFP approach shows variety in profitability change, consequently, affirming the nearness of extreme challenge, great sound working condition and distinctive social destinations among the banks . It has additionally been finished up from the quartile portrayals of the efficiency of business banks that the banks present in the fourth quartile goes about as the benchmark for the under resourced ones. Out of three possession gatherings, the banks underneath the normal are inadequate as far as the efficiency in keeping money activities. Hence, these banks should attempt the examination of their tasks and the board arrangements therefore to wipe out flimsiness in the profitability development. These banks additionally have the potential for development as far as efficiency as these banks have the inclination of advancing toward the upper quartiles ceaselessly.

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 Keywords

Disaggregate level, Public sector banks, Private sector banks, Foreign sector banks.

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Ayurveda is been in practice from ancient period for the management of various diseases related to mankind. It has its own approach for the management of the diseases based on concepts emerged as a result of observations and experimentation done by Acharayas. The basics described includes the Tridosha concept among which Vata Dosha is given the prime importance as it is essential for smooth functioning of body and for maintaining structural integrity of body elements. The Acharayas have described types of Vatavyadhi as Dhatukshayajanya & Margavrodhajanya. The Chikitsa varies according the type of Vatavyadhi i.e.Shamana & Shodhana. Panchakarma is mentioned as Shodhana Chikitsa Prakara which involves various therapeutic procedures beneficial in eliminating vitiated Vata and other Dosha in body resulting in permanent relief and non-recurrence of Vatavyadhis. So now a day Panchakarma therapies are being used worldwide in neuro-muscular and joint disorders which are correlated with Vatavyadhis mentioned in Ayurved classics.

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 Keywords

Vata Dosha, Vatavyadhi, Panchakarma, neuro-muscular and joint disorders.

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In this assignment, we plan to use and examine diverse strategies for automatic sentence finishing touch which consist of n-gram modeling, Latent Semantic Indexing and Recurrent Neural Networks. Results from the beyond studies reveal that the LSA version outperforms the traditional n-gram version fashions at the Microsoft Research Sentence Completion Challenge. The LSA version outperforms different non-neural community fashions. Hence, we are able to examine the consequences of the LSA version with RNN version and n-gram version to determine which ones play higher thinking about the size of the statistics. The strategies are first teach on a big corpus of un-annotated textual content, to then attempt to are expecting the lacking phrases within side the check set which includes hundreds of sentences wherein one phrase is lacking and 4 options for the lacking phrase.

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 Keywords

n-nlp , gram, rnn , lsa

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Modern power electronic converters must possess features like reduced size, high power density, high efficiency etc. By employing soft switching cells to existing converters, performance can be improved to a great extent. Soft switching converters aim to reduce switching loss, enabling a converter to operate with very high frequency. This facilitates reduction in size and volume of the converter that improves power density and efficiency of the converter. This paper reviews detailed study on different soft switching of DC-DC Buck converters to improve converter performance. The detailed operation of few soft switched buck converter topologies along with strengths and weaknesses have been discussed thoroughly.

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 Keywords

Pulse Width Modulation (PWM), Zero Voltage Switching (ZVS), Zero Current Switching (ZCS), Snubber circuit, Zero Current Transition (ZCT), Soft Switching.

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Multimedia content analysis is applied in different real-world computer vision applications, and digital images constitute a major part of multimedia data. In last few years, the complexity of multimedia contents, especially the images, has grown exponentially, and on daily basis, more than millions of images are uploaded at different archives such as Twitter, Facebook, and Instagram. To search for a relevant image from an archive is a challenging research problem for computer vision research community. The content based image retrieval aims to find the similar images from a large scale dataset against a query image. Generally, the similarity between the representative features of the query image and dataset images is used to rank the images for retrieval. In early days, various hand designed feature descriptors have been investigated based on the visual cues such as color, texture, shape, etc. that represent the images. This paper attempts to provide a comprehensive survey of the techniques developed content based image retrieval. This paper also analyzed the main aspects of various image retrieval and image representation models from low-level feature extraction to recent semantic deep-learning approaches. The important concepts and major research studies based on CBIR and image representation are discussed in detail, and future research directions are concluded to inspire further research in this area. Keywords: Content Based Image Retrieval, Semantic Gap, Machine Learning, Deep Learning,

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

image retrieval ,feature extraction

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Creative Commons Attribution 4.0 and The Open Definition