Miracle-dz/UniFAR-FTUs huggingface dataset:
CONTENT BASED IMAGE RETRIEVAL WITH HASH CODES

: This paper proposes a new CBIR(Content Based Image Retrieval) system using Hash codes performs few major tasks. The first one is feature extraction (FE), where a set of features or feature vector, is generated for accurate representation of content for each image in the Wang dataset comprising of 499 images. A feature vector is much more smaller in size compared to the original image. The second is similarity measurement(SM), where a distance between the query image and each image in the dataset using their features is computed so that the top images can be retrieved. The third is hash functions produce hash values based on the image visual appearance. Hash function calculates similar values for similar images also for dissimilar images dissimilar hash values are calculated. using similarity function to compare two hash values, it can be decided whether two images are different or not. Another task is hamming distance to calculate how many bits are different in hash .
Expanded 128-bit Data Encryption Standard

— This paper presents a 128-bit approach on the outdated Data Encryption Standard cipher. Since the symmetric block cipher is well past its prime, many methods have been devised by hackers in order to crack the cipher and obtain the plaintext message, namely through brute force attacks. In order to improve its security, the authors have made modifications to the standard bit size, wherein it is doubled from a size of 64-bits to 128-bits on the key structure and plaintext block. The size of various tables, functions, keys and swaps that are found throughout the process of the original DES are also subject to this doubling in size. Henceforth, the Expanded Data Encryption Standard is twice as extensive as its predecessor. By increasing the overall size of the cipher, it will take much longer for an attacker to bypass the security through the use of brute force.
Query Processing for Content Based Image Retrieval

—In this paper, we investigated image retrieval based on image content, Content Based Image Retrieval (CBIR) and proposed a framework to characterize the image content and similarity between the images. Our paper discusses the CBIR problem and the solution. Due to the enormous increase in image database sizes, the need for the development of CBIR systems arose. Firstly, this paper outlines feature extraction methods for color and texture. The extracted features for each image in the database used as the basis for similarity between the images. We built user interface based on Java, in which user can easily select query image and view top ten retrieved images based on decreasing order. We extended our approach to sub image retrieval also. Our results report that HSV based color features and contrast based texture features outperform than RGB based features and results reported in the paper are convincing.
Effect of Quantum Cooperation in Three Entangled Ants

—Recently, the physical concept of quantum computation model has inspired the information and computer science domain. Summhammer applied the physical concept of quantum entanglement to cooperative behavior of two ants/agents pushing a pebble which may be too heavy for one ant. According to his results, we have confirmed that the two quantum-inspired ants imitating quantum entanglement state, i.e., two entangled ants, can push the pebble up to twice relative to the two classical ants in independent relation, i.e., two independent ants. In the previous study, the quantum entan-glement state of only two qubits, which is called Bell state, has been applied to cooperative behavior. In this study, we novelly applied the quantum entanglement state of three qubits, which is called GHZ (Greenberger-Horne-Zeilinger) state, to cooperative behavior, and performed its simulation. From the experimental analysis, we have confirmed that the three entangled ants can push a pebble up to thrice relative to the three independent ants.
Component Level Testing in Component-Based Software Development

Whether it is traditional software or component-based software, software testing is an essential process of software development. Testing is performed not only to make the underlying software error free but to enhance and assure the development of reliable and quality software product. To measure the cost of testing in terms of effort and time we need some well defined metrics and methodologies. We have a well specified and established level of testing in the context of traditional software. We have unit level to customer acceptance levels of testing in this domain. But in the context of component-based software, we have no specified and clear testing levels for individual components. In this paper we are proposing the strategy for components testing in component-based development.
Network Traffic Classification Using Hadoop Server

: Network is the important part of any organization. Knowing the usage of computer network can help to manage network resources and internet traffic. Data mining algorithms can be used to analyze the trend of network traffic and observe the patterns. Major issue faced by existing work is large data generation. Processing on large data can’t be an easy task and need advance technique to analysis purpose. Hadoop distribution server can be a good platform to analyze the large network data trends. In our work, analysis of network traffic using the Hadoop environment has been studied. A DBSCan based solution has been performed to observe the trend and load on individual system. The comparison made depends on single server and multi-node Hadoop cluster can for result evaluation purpose.
Effect of Gammatone auditory-filters on speech intelligibility

Auditory filters are one of the topics that have been most studied in psychoacoustics. Researchers have used different approaches and many of them have been considered as possible basis for this study. The auditory filter bank can be seen as a bank of band-pass filters that divides the very often broadband input signal into multiple narrowband output signals. The analytic description of the shape of the auditory filters has improved through the years. Our study investigates how the shape of the auditory filters affects the intelligibility of speech in noise. We compare the performance of filters across noises aiming to find the filter that performed the best. However, the difference in results was not found to be statistically significant. Overall, the results provide a framework for using of the auditory filters.
Drug-Free Correction of the Tone of the Autonomic Nervous System in the Management of Cardiac Arrhythmia in Coronary Artery Disease

Background: The aim of our study was to examine the possibility of ventricular extrasystole (VES) management in CAD (coronary artery disease) patients by attenuating the sympathetic activity with a course of electrical stimulation of the vagus nerve. Methods: A decrease in sympathetic tone was achieved via vagus nerve electrical stimulation (VNES). VNES was performed in 48 male CAD patients, mean age 53.5±4.1 years. Antiarrhythmic drug therapy was canceled prior to VNES therapy. The effect of VNES on heart rate variability (HRV) and VES were carefully studied. All the patients received a 24-hour ECG monitoring. HRV was calculated for high frequency (HF) and low frequency (LF) bands and the LF/HF index was determined. Results: Immediately following VNES therapy, 30 patients (group 1) reported alleviation of angina signs and the LF/HF index was significantly decreased (p=0.001). Eighteen patients (group 2) showed no change either in health or the LF/HF index. According to ECG and echocardiography, the VES number did not significantly change immediately after VNES therapy. One month after the VNES course, group 1 reported further improvement in health; the LF/HF index approached normal values. In group 2, the LF/HF significantly decreased (p=0.043). However, in the entire study sample, the VES number significantly decreased overall (p=0.025). Conclusion: VNES attenuated the cardiac effects of hypersympathicotonia decreased the ischemic impact on the myocardium, alleviated the cardiac angina signs, and beneficially influenced the VES number in CAD patients.
Frequent Sub-trees Mining Algorithms in XML : A Survey

--Now-a-days a large amount of data is being stored in XML documents. Since XML documents are semi structured and also they require large amount of storage space, there has always been a demand of storing them in specific patterns and automation for mining association rules and patterns in XML documents. Summarized representation of XML data, based on the concept of Tree Based Association rules (TARs). TARs will not only provide us the information about the structure of the XML document but also the contents stored in the documents. This knowledge gained from TARs will help us fetching intentional knowledge and quick answers to queries. Experiments on large XML documents show that these patterns allow a significant reduction in storage space, while preserving almost entirely the completeness of the query result. Furthermore, they provide fast query answers and show good scalability on the size of the dataset, thus overcoming the document size limitation of most current XQuery engines.1
SYN Flooding Detection and Mitigation using NFV

A SYN flooding DDoS attack aims to consume the CPU and memory resources of servers that run online services. While hardware-based firewalls play a critical role in network security, they are limited to the resource capacity. Consequently, extreme traffic of DDoS attack renders firewalls and servers inoperational. Therefore, this article presents a defense model against DDoS attacks. The model includes a detection algorithm using DBSCAN clustering. When the algorithm detects SYN patterns, new security rules are automatically generated to block the attack. The proposed solution is to be deployed on Network Functions Virtualization (NFV) where all networking and security functions are software-based instead of hardware-based. Our solution takes advantages of the scalability and automation of NFV to maintain service during DDoS attacks.
Network Coding Technique for Secure Cloud Storage

— as the cloud computing is growing tremendously, but there is some issue such as lack of trust, data loss/corrupt, malicious cloud, pollution attack. But out of these issues data loss/corrupt is main issue. Many organizations don’t rely on public cloud because they have fear of data loss/corrupt. Means there is low reliability on public cloud. So, we are using network coding technique to recover the data which is loss/corrupt and provide reliability in cloud. For security purpose we are going to do encryption and at second level we do network coding. In traditional system if one server or node gets fail or destroyed, the data on that node will get loss but by using network coding technique we can preserve the data. So, by Encryption we are providing security and by use of network coding we will make it more reliable means its throughput is raised
An Efficient Protocol for Large-Scale Plantlet Production from the Apical Meristem of Musa Paradisiaca

Banana is the most popular commercial fruit crop grown in more than 132 countries throughout the world. India is the most productive, producing 26.2 million tons of fruits in 2008, with a yield of 3,698 kg/ha . In vitro micropropagation has played a key role in clonal propagation of banana for obtaining large numbers of homogenous plants and breeding of plantains and bananas . Regeneration via a callus phase is a less desirable for in vitro plant recovery due to high frequencies of genetic aberration s . Plant multiplication from meristems, shoot tips, and other tissues without intermediate callus formations is therefore more desirable , enabling higher frequencies of plants which are genetically stable and homogenous. Among several varieties of banana cultivated in Kerala, the Nendran variety occupies the first choice among Keralites as the fruit is in good demand in the State. The prese nt study was carried out to develop a rapid multiple shoot production for large scale cultivation of this variety.
Measuring User Reputation on Twitter Using Page Rank Algorithm

: In the recent days, In the recent days, The enlargements made in the web knowledge’s have greater impact over the social network systems. A different social media system offers different variety of online platforms to analyze dissimilar categories of formation and disorderly data. Besides, the social users are also connected with each other, and hence, instantly, the events are updated. In a time period, lots of users may take different activities such as posting and retweeting at these social networking sites which enforces a challenging issue, furthermost valuable social events. Hence, the related news is extracted from the set of online news via ranking approach. This study proposes a novel ranking framework that arranges the social user communications and activity based on the users active performance to be calculated. Intuitively, the social user communications are observed. Relied on this, the active score is predicted for each social user. To consider the social communications in the method of interchange based on the retweet communication between Twitter users. Specially, here it refers to the mutual acceptance of each other’s tweets between two users in the model of a retweet. Second, the regression evaluation is done for the scored active. By performing so, we can accomplish accurate results on the current events. Experimental evaluation is approved on the real-time application, Twitter which shares the varied events instantly that further to show the efficiency of the proposed PageRank algorithm.
A Novel Content-Based Document Information Retrieval Technique

— It is difficult to acquire the relevant information on the web due to the rapid progression of excess information. Under this circumstance, it is essential to develop a reliable Information Retrieval (IR) system. As per the traditional web servers, the required information can only be extracted from the title or small explanation. Accordingly, this paper proposes the IR process using CBDIR system, which can extract the information from the actual content of the document. Initially, the required keywords are extracted from document using the Latent Dirichlet Allocation (LDA) model. In fact, the fundamental benefit of the proposed method is its effectiveness, flexibility and high speed. Here the information transmitted from the server to client is JavaScript Object Notation (JSON) format. Further, the usage of NoSQL database system with B-tree based indexing and inverted indexing can enhance the speed of IR system. Moreover, it compares the performance of the proposed CBDIR system with the conventional IR system and proves its superior performance. The system can be highly adaptable in real-time applications.
AMINOFUNCTIONALIZED MESOPOROUSSILICA NANOPARTICLESLOADED

We report the synthesis of Amino funtionalized and and loading of 5-fluorouracil. Themesosporous silica nanoparticles synthesized viaSolgel process using Cetyltrimethyl ammonium template. The prepared nanoparticles were amino 3-Aminopropyltriethoxysilane (APTES) toimprove drug entrapment efficiency. loading of 5fluorouracil was done by backfilling functionalized APT-MSNs were characterized by Fourier transform spectroscopy. Scanning electron microscopy (SEM) and Transmission (TEM) were used to study the structure and morphology of the
A STUDY OF MENTAL HEALTH IN RELATION TO SPIRITUALITY AMONG ADOLESCENTS

In the present age of science and technology science and spirituality are considered to be two distinct entities. When science is materialistic in its attempt, spirituality lacks materialism. It is noteworthy that the more the wonder when the science does the less importance is given to age old spirituality. Is spirituality really a trivial one? And does it not help us to achieve mental peace and harmony? are the research questions. Hence an attempt was made in the present study to find out the relationship between mental health, a state of psychological well being and spirituality. A random sample of 119 students studying senior secondary course in three higher secondary schools in Puducherry was drawn. The mean age of the students was 16 years. Mental health questionnaire developed by Sharma (2002) was used to assess the level of mental health and Spiritual Index Scale (SIS) developed by Mahendran (2012) was used to measure the level of spirituality. Correlation analysis was employed to find out the association between mental health and spirituality. The results showed evidence that spirituality is associated with mental health. Demographic variables such as gender, residence (rural/urban) and type of school were included in the study. The impact of demographic variables on spirituality was tested through t-test.
Bioactive components and nutritional evaluation of underutilized cereals

Whole-grain cereals have received considerable attention in the past years due to the presence of bioactive components like phytochemicals and antioxidants. However, still the bioactive and antioxidant properties of cereals have not received much attention as compared to fruits and vegetables. Studies show that increased consumption of whole-grains and its products has been associated with reduced risk of developing chronic diseases. The various bioactive components present in coarse cereals are recognized for their health benefits. In this study, the bioactive and nutritional composition of underutilized cereals, Foxtail and Kodo millets are evaluted. The total polyphenolic content by Folin-Ciocalteu, and antioxidant activity by DPPH % scavenging activity was analyzed. The crude proteins, crude fiber, total ash and fat contents of the two cereal grains were analyzed. Hence, it is suggested that both of the selected underutilized cereals can be considered to be functional crops due to their antioxidant effects and high nutrient contents.
Customer Satisfaction: A Case Study of Hotel Industry in Kashmir Valley

In the present competitive era, consumer satisfaction is a fundamental strength for any business to subsist. Service quality and customer satisfaction turn out to be the only way to differentiate services from those of the competitors. Customer satisfaction is largely hooked upon quality of services. Hotels which are able to comprehend and satisfy customer’s needs make greater profits than those which fail to understand and satisfy them. Customers in the hospitality industry will no longer stand for being treated as one demographic class and they will not tolerate a generalized mind-set. Thus the service providing companies need to customize their services as per the needs and requirement of the consumers in order to have a competitive advantage in the market. In view of the rising significance of customer satisfaction for tourism promotion; present study attempts to explore the literature available on the consumer satisfaction in hotel industry and also determine the satisfaction level of customers towards hotel industry in Kashmir Valley on the basis of existing literature and a fresh qualitative study. The study offers various suggestions so as to make services more efficient and effective.
A Three-Layer Architecture based Approach for Data Access Layer in the Information Systems Production

— Software architecture as an important branch of software engineering is one of the significant issues in software production line. It makes communication between system elements and shows us the general structure of the system. Among all the existing and developing architecture, we can point out the layer-based architecture. Nowadays, information systems architecture is mostly three-layer. In this architecture, the task is spitted between different layers and each layer performs specific task. In three-layer architecture there is a specific layer for information management and storing and retrieving data called data access layer. In this paper, by presenting a model for data access layer, we want to maximize criteria for functionality, reusability and reliability. The internal structure of this model is based on a modular and object oriented design patterns. So this independent module can be added to any project that requires secure information access management as data access layer without any changing, and its interfaces can be used to communicate with data and information management.
A study on implementing novel adder in HEVC DCT to achieve Area and Power Efficiency

- No technologies are hundred percentage errors free. In modern VLSI technology, ineluctably error will occur. Implementation of integer discrete cosine transform (DCT) of all transform unit (TU) sizes, which can be used for high efficiency video coding (HEVC) also come under this. In this paper, a novel Error Tolerant Adder (ETA) is proposed which can provide great accuracy at its best; meanwhile provide enormous improvement in the area and the power consumption. It can provide area improvement of about 75.21% at the expense of an average error reading 12.46%. ETA provides more than 66.29% improvement in power consumption. The proposed technique is designed using XILINX ISE TOOL and coded by Verilog HDL language
Closed Loop Control of Zero Voltage Switching DC-DC Converter to Generate Three Outputs

A DC-DC converter is an electronic circuit which converts a source of direct current (DC) from one voltage level to another. It is a class of power converter. The DC-DC converters are widely used for battery power supply in different electronic devices like mobile phones, MP3 players and laptops. There is a scope for developing DCDC converters to generate multiple dc output voltage from single dc power supply. These multiple output voltages are feed to the different dc load applications. This scheme of developing multiple dc voltage levels from a single dc supply source can reduce the overall device area. The dc voltage provided by rectifier or battery contains more ripples and it is not a constant value and it is not suitable for many electronic devices. To overcome this problem, the dc-dc voltage regulators are used to control the ripples even when change in the input voltage or load current.
IN-SILICO T-CELL EPITOPE PREDICTION TOOL OF HEPATITIS C VIRUS (HCV)

Hepatitis C Virus (HCV) is a ssRNA infectious microbe that affects and kills millions of people worldwide annually However, various part of the virus that can be recognized processed and dealt with by immune system, such as B-cells, T-cells or microphages are known as epitopes or antigenic determinants. Knowledge of these epitopes is invaluable for the research and development, of vaccine and drug design, that will eradicate and diminish this life threaten virus. There is an exponential increase in the expression of these epitopes regularly which make them difficult to be handled. To rectify and deal with this problem, a new computational method was developed to analyze such kind of large data with the help of support vector machine (SVM). This analytical method consists of training, testing, classifying and validation of both T-cell epitopes and non T-cell epitopes of hepatitis C virus (HCV). To improve the performance of this method, the data were divided into (70% and 30%), (80% and 20%) and (90% and 10%) of train and test respectively using non-epitopes as control. The accuracy of class of data with amino acids feature (polarity, acidity, alkalinity, aliphaticity, etc) and without amino acids features were noted. The result was obtained by taking the average of the %accuracy which indicates high performance and potentiality of this method.