Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey on Sentiment Classification and Analysis Using Data Mining

Sentiment analysis is a type of natural language processing that tracks the opinion and mood of the public about the specific product. The volume of information in digital form increases day-by-day as people express their sentiments, also called opinions everywhere mostly on internet as the people now days are much dependent on internet. So the requirement of user opinions analysis is gaining importance day by day. Blogs, micro blogs, review sites, twitter, and other social networks are the most common platforms that are used by people and organizations for posting their views. Researchers has done very immense effort in the field of sentiment analysis and also new opportunities and challenges still arise so even now it is very active and dynamic research area in the field of natural language processing. It is also widely investigated in text mining, data mining and web mining. This paper attempts to evaluate the several techniques used for sentiment analysis. The goal of this survey is to give an in-depth introduction to this fascinating problem and to present a comprehensive study of all important research using data mining and the latest developments in the field.
Endurance Based AntNet Algorithm for Efficiency Enhancement Network

: Routing algorithm is essential for every network to get the performance and reliability, hence there is a requirement for designing an algorithm with the understanding and adjustment of parameters for the delivery of network packet from source to destination. This algorithm presents a new value of parameters called endurance based AntNet. The objective of the algorithm is to get best routes between the source node and the network nodes during a certain period of time. The parameterswhich will affect the performance of the proposed routing algorithms are: endurance cost, number of nodes and number of Ants. The experimental setup demonstrates the proposed Endurance Based AntNet is best in minimizing the endurance cost, number of iterations and number of Ants in comparison to the defaultvalues of AntNet.
Size Effect on Flexural Behaviour of Reinforced High Strength Concrete Beams

221 www.erpublication. org  Abstract— The mechanical properties of concrete, which is a quasi brittle material, are size dependent. This paper investigates the size effect on flexural behaviour of reinforced HSC beams under one dimensional similarity with varying depths. In the experimental investigation, flexural behaviour of 3 series of beams with size 100x100x1000 mm, 100x150x1000 mm and 100x200x1000 mm with 1.5% tensile reinforcement were investigated under two point loading. The load deflection characteristics and the cracking behaviour were investigated. The study revealed a significant size effect on the flexural behaviour of reinforced HSC beams.
Treatment of Chronic Tinnitus with Low Level Laser Therapy

Tinnitus causes disability associated with concentration deficits, insomnia, hypersensitivity to sounds, anxiety and depression. Often a combination of several complaints leads to a diminished quality of life. The purpose of the study was to determine the effect of the Low Level Laser Therapy (LLLT) in the treatment of chronic tinnitus. Sixty patients with chronic subjective tinnitus were included in this study and were randomly divided into two equal groups: (study group and control group). Study group received Low Level Laser Therapy, 3 times per week for 1 month while control group received placebo laser, 3 times per week for 1 month. The clinical findings of the patients were analysed before and after the treatment via the Visual Analogue Scale (VAS) and Tinnitus Severity Index (TSI) Questionnaire. All sixty patients completed the study. There were no adverse effects observed. The Visual Analog Scale (VAS) score difference before and after the treatment was statistically significant (p = 0.0001). Also statistical difference was found before and after the treatment in the Tinnitus Severity Index (TSI) Questionnaire score (p = 0.0001). In relation to the VAS and TSI Questionnaire scores, the study revealed that the results obtained in the study group were superior to that of control group. It was concluded that Low Level Laser Therapy (LLLT) was considered an effective treatment modality for the treatment of chronic subjective tinnitus.
Cloud Computing Environment – A Big Data Dash

: Rapid growth of internet applications like social media, online shopping, banking services etc., leads to process a huge amount of diverse data, which continues to witness a quick increase. Effective management and analysis of large scale data leads to an interesting but critical challenge. Recently, big data has involved a lot of attention from academic world, industry as well as government. In this paper we include several big data processing techniques from system and application sides. From the view of cloud data Management and big data processing mechanisms, let us concentrate on the key issues of big data processing, including cloud computing platform, cloud architecture, cloud database and data storage system. And, then let us acquaint with MapReduce optimization strategies and applications reported in the literature. Lastly, focus on the open issues and challenges, and talk over the research possibilities, on big data processing in cloud computing environments.
Power Control MAC Protocol with Improved Throughput for Mobile Ad Hoc Networks

: Ad Hoc network is a collection of mobile nodes forming a network without the assistance of any centralized structure. It is an application based network. There are many issues in Ad Hoc networks like battery consumption, scheduling, clustering, packet loss etc. There are many algorithms which are available to reduce these issues. In this paper we introduced new technique which is based upon adaptive technique to reduce the power consumption and prevent packet loss. This proposed technique is better than existing technique.
A New Algorithmic Approach to Improve MCDS Based Routing Using Articulation Point in MANAT

: An ad hoc wireless network is a special type of wireless network in which a collection of mobile hosts with wireless network interfaces may from a temporary network, without the aid of any established infrastructure or centralized administration. A connected dominating set (CDS) is used to reduce broadcast overhead. A common source of overhead in a wireless ad hoc network comes from blind broadcasts. It is possible to significant reduction of overhead by using the minimal connected dominating set (MCDS) to reduce redundancy due to these blind broadcasts. Dynamic Source Routing (DSR) is a routing protocol designed specifically for use in mobile ad hoc networks. The protocol allows nodes to dynamically discover a source route across multiple network hops to any destination in the ad hoc network. When using source routing, each packet to be routed carries in its header the complete, ordered list of nodes through which the packet must pass.
Using Feedback Sessions for Inferring User Search Goals

: In this paper we discussed about the Identifying or inferring user’s search goal from given query is a difficult job as search engines allow users to specify queries simply as a list of keywords which may refer to broad topics, to technical terminology, or even to proper nouns that can be used to guide the search process to the relevant collection of documents. Information needs of users are represented by queries submitted to search engines and different users have different search goals for a broad topic. Sometimes queries may not exactly represent the user's information needs due to the use of short queries with ambiguous terms. Hence to get the best results it is necessary to capture different user search goals. These user goals are nothing but information on different aspects of a query that different users want to obtain. The judgment and analysis of user search goals can be improved by the relevant result obtained from search engine and user's feedback. Here, feedback sessions are used to discover different user search goals based on series of both clicked and unclicked URL's. The pseudo-documents are generated to better represent feedback sessions which can reflect the information need of user. With this the original search results are restructured and to evaluate the performance of restructured search results, classified average precision (CAP) is used. This evaluation is used as feedback to select the optimal user search goals.
Utilization of Data Mining Techniques for Prediction and Diagnosis of Major Life Threatening Diseases Survivability-Review

— Data mining is defined as shifting through very large amounts of data for useful information. Some of the most important and popular data mining techniques are association rules, classification, clustering, prediction and sequential patterns. Data mining techniques are used for variety of applications. In health care industry, data mining plays an important role for predicting diseases. For detecting a disease number of tests should be required from the patient. But using data mining technique the number of test should be reduced. This reduced test plays an important role in time and performance. This technique has an advantages and disadvantages. This research paper analyzes how data mining techniques are used for predicting different types of major life threatening diseases
Microleakage of Two Porcelain Laminate Veneer Materials with Different Types of Class V Cavity Restoration (A Comparative In-vitro Study)

Introduction: Porcelain laminate veneer is considered a successful restoration if it is managed to survive in the oral cavity which depends on its sealing ability. Aim: To investigate and evaluate the cervical microleakage of porcelain veneers restorations fabricated from 2 types of CAD/CAM ceramic laminate bonded to teeth with different class V cavity filling material. Materials and Methods: Total 48 sounds, crack-free human upper first premolar extracted for orthodontic causes were selected for this study. Teeth were divided randomly into 2 study groups and further subdivided into 3 subgroups (8 samples each). Results: The statistical analysis have shown that the type of ceramic restoration and the composite filling had a highly significant effect on cervical microleakage and the interaction between the main factors was also highly significant. The results showed that the lowest mean of cervical microleakage sum was recorded for Group B3 (1056.279 ± SD) which is considered statistically significant compared to Group B1 (1495.030 ± SD) and Group B2 (1546.446 ± SD) and statistically highly significant compared to Group A1 (3180.705 ± SD), Group A3 (1837.429 ± SD) while Group A2 recorded the highest mean of microleakage sum (3210.037 ± SD). Conclusion: The type of ceramic restoration and the type of class V composite filling both had highly significant effects on the cervical microleakage mean. Cerec CPC veneers had significantly lower microleakage mean as compared to IPS e.max CAD veneers. The type of class V composite filling within 0.5 from the cervical finishing line of porcelain veneers that was filled with different composite filling had significantly higher microleakage mean compared to groups filled with the luting resin cement only.
THE COMPARISON OF TERM BASED METHODS USING TEXT MINING

: Increasing usability of internet and modern growth of information technology changing the fields of activity in modern days. Large number of people and organization would be required to interact more frequently with computer systems. The text documents are pre-processed; Term Frequency and Inverse Document Frequency (TF-IDF) are used to rank the document. In text mining the existing classification methods, the documents representing the traditional vector space model. A term graph model to represent not only the content of a document and also the relationship among keywords. Traditional text classification methods utilize term frequency (tf) and inverse document frequency (idf) as the main for information retrieval. High performance is applied in text classification using term weighting. TFIDF is one of the popular methods but it is not using the information retrieval. In this paper improved the supervised weighting in the TFIDF model and it also important to assume the low frequency terms. But using this TFIDF method, no need to concentrate the high frequency terms. So generate to consider the higher weights to the rare terms frequently. In this paper, compare a model for text document by combining the strengths of vector space model and frequently co-occurring terms together. Finally term graph model results are compared.
Towards the Measurement of Mental Effort in Software Engineering: A Research Agenda

Cognitive load refers to the mental effort applied to perform cognitive processes. In software engineering, developers are involved in cognitive processes such as program comprehension and change tasks. Measuring cognitive load would be a human-centered solution, instead of using measurements based on artifacts which have been shown to have no correlation with developers’ perception. Therefore, evaluate the cognitive load of the developer has potential to leverage the identification of source code issues and also improve the developers experience with their work environment. To determine a potential searcher to identify and organize this article a research agenda in relation to the measure of cognitive load of developers. This article also discusses the implications of using the cognitive load as a multipurpose indicator in software engineering. Finally, this article provides for practitioners and researchers a way to advance in the research about developers’ cognitive load in software engineering in realistic scenarios.
Advanced Innovation in Human–Computer Interface Controlled by the Mouth Variation

: Lip control system is an innovative human–computerinterface specially designed for people with tetraplegia. This paper presents an evaluation of the lower lip potential to control an input device, according to Fitts’ law (ISO/TS 9241-411:2012 standard). The results show that the lower lip throughput is comparable with the thumb throughput using the same input device under the same conditions. These results establish the baseline for future research studies about the lower lip capacity to operate a computer input device.
Cloud Computing: A Perspective on Next Basic Utility in IT World

1Sonam Seth, Research Scholar, Kanya Gurukul Campus, Dehradun (U.K.) India, 2Dr. (Mrs.) Nipur Singh, Professor, Department of Computer Science, Kanya Gurukul Campus, Dehradun (U.K.), India, ---------------------------------------------------------------------***--------------------------------------------------------------------AbstractTechnology is growing rapidly. Cloud Computing is the most promising and latest technology in the IT era. In real world everyone want fast, secure and reliable access of data so cloud computing is the next basic need in the IT world. Cloud computing is the abstraction of web enabled computers, resources and services to utilize the resources optimally. Cloud is a network of virtually distributed resources and clusters. Virtualization of resources facilitates resource utilization on demand. The deployment of virtual clusters offer full connectivity to the virtual machines connected in different network. To deal with big data management cloud architecture is introduced that facilitate big data processing using big data analytics. Cloud computing is the advanced version of distributed computing and parallel processing.
The Creature of the New Effective Methods Modernization Preservative Solution for
Red Blood Cells by Means Preparations of Nanotechnology

This study was devoted to the learning of the use of nanotechnology to correct the functional activity of red blood cells (RBCs) at the storage stages at a positive temperature. It was established that saline NaCl, which had previously been processed by magnetite nanoparticles (ICNB) had a marked membrane-stabilizing effect, inhibits hemolysis and increasing the sedimentation stability of preserved RBCs. The complex analysis of the obtained data allowed to determine the primary mechanisms effect of the saline NaCl, which had previously been processed by ICNB on the preserved RBCs. The proposed method of additive modernization of preserved RBCs was adapted to the production process. The optimization results were obtained in creating a simple and practical method of additive modernization of preservation solutions that does not violate the compliance requirements, improves the quality, efficiency and safety transfusion of RBCs.
Acquiring And Developing Outstanding Teachers Candidate: A Comparative Study From State And Private Elementary School

This paper provides a comparative study of management of both state and private elementary schools in acquiring outstanding teachers for national teachers competition. The aim is to suggest principles that can be incorporated to improve the designing of management of finding the inputs, process and outputs consisting of teachers quality at the input process, recruitment at the process stage and the outputs at career path for the outstanding teachers. The research uses comparative study consisting of state and private schools in West Java, Jakarta, Banten and Central Java provinces. The data were gained from 5 schools in the assigned areas through interviews and documentation. In the findings, similarity and differences of recruiting, developing and competing of the outstanding teachers at state and private schools. The research found that at input and process stage bot state and private schools share the same model as it is based on the guidance from the government. While at the output stage, especially for the career path, the outstanding teachers from state schools are much better in having opportunity to get a higher position while outstanding teachers from private schools, their opportunities to get higher and better position will be depending much on the policy at the assigned schools.
Automatic synchronization and power factor rectification of power lines-IJAERD

Abstract — In distribution section of power system the power synchronizing and power factor rectification is a main factor analysed by the survey report to decrease the commercial as well as technical loss occurred in power distribution. The commercial loss is that whenever the power get lost by manufacturer, the distributor has to paid the power loss amount to the industrial subscriber through law of justice, in order to overcome this with the help of technical and commercial support, this project helps a lot. In this project the delay time of manual synchronization which is 1 to 2 hrs. can be reduced to 3-4 second as well as the power and cycle losses occurred in distribution after synchronization can be rectified by auto stabilizing method and regenerating of pulses so that losses can be vanished and continuity of power supply can be maintained. This system can also be implemented whenever 3, 4 feeder are connected simultaneously for power feeding in hospitals, bus stand and government sector etc.
RELIABLE ESTIMATION TECHNIQUE FOR UNDERSEA TARGET LOCALIZATION USING ACOUSTIC PROPAGATION FOR MARITIME SIGNAL PROCESSING APPLICATIONS

Methods: The unscented transformation coupled with certain parts of the classic Kalman filter, provides a more accurate method than the EKF for nonlinear state estimation. Using bearings only measurements, Unscented Kalman filter algorithm estimates target motion parameters and detects target maneuver, using zero mean Chi-square distributed random sequence residuals, in sliding window format. During the period of target maneuvering, the covariance of the process noise is sufficiently increased in such away that, the disturbances in the solution is less.
Design & Implementation of FPGA Based On PID Controller

-Proportional-Integra-Derivative controllers are universal control structure and have widely used in Automation systems, they are usually implemented either in hardware using analog components or in software using Computer-based systems. In this paper, we focused our works designing on building a multi-channel PID controller by Field Programmable Gate Arrays (FPGAs). To overcome the hardware complexity by the use of more processors for multi channel, we are using single PID controller for multi channel . Multi channel can be implemented by the use of FPGA.when the error is more it can differentiate and produce the constant output, when signal is low when compared to reference signal it can integrate it.FPGA can offer parallel processing, more speed.
Cell-Penetrating Peptides as a Tool to Deliver Biologically Active Recombinant Proteins to Generate Transgene-Free Induced Pluripotent Stem Cells

Delivery of biologically active recombinant proteins using cell-penetrating peptides is a useful tool for transduction of molecular cargo into cells. This protein transduction technology is useful to understand the biological function of a specifi c protein of interest. Hence, it has been recently employed by several groups to understand the molecular functions of stem cell-specifi c transcription factors in pluripotent stem cells. Pluripotent stem cells have an indefi nite self-renewal capacity and can be directed to differentiate into any desired cell type of an adult organism. The groundbreaking discovery of induced pluripotent stem (iPS) cells has revolutionized the fi eld of stem cell research due to its immense potential in in vitro disease modeling, drug screening and regenerative medicine. Although, virus-based gene delivery approaches commonly used to generate iPS cells are robust and highly effi cient, however, these methods involve permanent genetic modifi cations due to viral integrations leading to malignant transformation. Therefore, a protein-based approach to deliver biologically active recombinant proteins in somatic cells to generate iPS cells is safe and will improve the prospects of these cells from bench-to-bedside. This review provides an overview of protein-based somatic cell reprogramming to generate transgene-free iPS cells and gives a glimpse of the bottlenecks associated with this technology. Review Article Cell-Penetrating Peptides as a Tool to Deliver Biologically Active Recombinant Proteins to Generate Transgene-Free Induced Pluripotent Stem Cells Chandrima Dey1†, Gloria Narayan1†, H Krishna Kumar1†, Manash P Borgohain1†, Nibedita Lenka2 and Rajkumar P Thummer1* 1Laboratory for Stem Cell Engineering and Regenerative Medicine (SCERM), Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati 781039, Assam, India 2National Centre for Cell Science (NCCS), NCCS Complex, Savitribai Phule Pune University Campus, Ganeshkhind, Pune 411007, Maharashtra, India †These authors contributed equally to this work Dates: Received: 22 March, 2017; Accepted: 31 March, 2017; Published: 01 April, 2017 *Corresponding author: Rajkumar P Thummer, Indian Institute of Technology Guwahati, Guwahati, Assam, India, Tel: +91-363-258-3208; E-mail:
Feature Extraction using SIFT for Privacy Preserving Over Encrypted Image

In past a huge number of the data owners stores their individual multimedia information so for the communication to be carried out securely, the private information shouldn’t be reveal by its originated application of the owners as it does outsourced multimedia. Thus it is important to maintain the privacy by preserving the computation in outsource multimedia data. Thus the privacy-preservation will be implemented using SIFT (Scale Invariant Feature Transform) algorithm over the image. The data set owner is responsible to have the image data set thus which is responsible to send the image to server thus the feature extraction is done by using SIFT. The Batched Secure Multiplication Protocol for the communication between the servers and Batched Secure Comparison protocol for the comparison. It uses somewhat holomorphic encryption technique. TheCaltech256 standard dataset is used and the application users will have high level of security on image data.