Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Motion Saliency For Theft Detection and Alert

: In image processing motion detection is a very important problem and using this concept a novel saliency-based video object extraction (VOE) framework is presented for theft detection. Using motion and visual saliency information extracted from the input video sequence, the background and foreground will be separated. A conditional Random Field (CRF) is applied for effective integration of the saliency induced features. A video camera is used to detect the motion and capture the image and send the captured image to the owner via email. Rather than using signals to show the light the infuse gas like chloroform is used to make the suspect unconscious. Then the frames continue to be saved and compared with the process iteration taking place once again.
Design of Query Recommendation System using Clustering and Rank Updater

In this paper I propose a method that, given a query submitted to a search engine, suggests a list of related queries. Query recommendation is a method to improve search results in web. This paper presents a method for mining search engine query logs to obtain fast query recommendation on a large scale. Search engines generally return long list of ranked pages, finding the important information related to a particular topic is becoming increasingly difficult and therefore, optimized search engines become one of the most popular solution available. In this work, an algorithm has been applied to recommend related queries to a query submitted by user. For this, the technology used for allowing query recommendations is query log which contains attributes like query name, clicked URL, rank, time. Then, the similarity based on keywords as well as clicked URL’s is calculated. Additionally, clusters have been obtained by combining the similarities of both keywords and clicked URL’s. The related queries are based in previously issued queries The method not only discovers the related queries, but also ranks them according to a relevance criterion. In this paper the rank is updated only the clicked URL, not all the related URL’s of the page.
The Effectiveness of Music Therapy on Cerebral Palsy Patients Receiving Rehabilitation Treatment

Objective: To find out the effect of music therapy in cerebral palsy (CP) patients between who received conventional rehabilitation treatments and who additionally received music therapy Methods: In this retrospective study, 50 CP patients who received rehabilitation treatments on a day-ward basis for at least six months, between March 2013 and February 2015, were selected as subjects. Of the 50 patients, 25 received only conventional rehabilitation treatment (rehabilitation group), and the remaining 25 received both the conventional rehabilitation treatment and music therapy (music therapy group). In this study, the results of the Korean-version Denver Developmental Screening Test 2 (DDST-2) and the social quotient (SQ) were confirmed, before and after the treatments. Results: At baseline, no statistically significant differences were confirmed between the rehabilitation group and the music therapy group in terms of gender, age, and diagnosis. Korean-version DDST-2 scores and the SQ score also did not show statistically significant differences between the groups. With the intervention, the music therapy group showed more statistically significant improvements in the gross motor, fine motor, language, and personal-social parts than the rehabilitation group. The music therapy group also showed greater improvement in SQ score than the rehabilitation group, but the difference was statistically insignificant. Conclusion: This study was conducted to prove the effectiveness of the current music therapy program and to investigate the area in which the therapy produces the greatest effect. It is hoped that the therapy would find wider application among children in the future as it showed significant functional improvements in the gross motor, fine motor, language, and personal-social parts in this study.
Standard Active Queue Management in

: Access to the large web content in wide computer networks such as the Internet engages many hosts, routers/switches and faster links and they may challenge the internet backbone to operate at its capacity and this may result in congestion and raises concerns over various Quality of Service (QoS) issues like high delays, high packet loss and low throughput of the system for various Internet applications. Thus, there is a need to develop effective congestion control mechanisms to meet Quality of Service (QoS). In this paper, our emphasis is on the Active Queue Management (AQM) mechanisms, a new analytical approach based on 4-state Markov Modulated Poisson Process (MMPP) is introduced.
An Improved Method for Spam Detection in Social Media

– Social network has become a very popular way for internet users to communicate and interact online. Users spend plenty of time on famous social networks (e.g., Facebook, Twitter, etc.), reading news, discussing events and posting messages. Unfortunately, this popularity also attracts a significant amount of spammers who continuously expose malicious behavior (e.g., post messages containing commercial URLs, following a larger amount of users, etc.), leading to great misunderstanding and inconvenience on users' social activities. Hence, we have studied a supervised machine learning and based on that, solution is proposed for an effective spammer detection. The traditional procedure for work is to collect a dataset and then construct a modeled based dataset and manually classify the users. It is quite time consuming. So, we have proposed a system which would comprise of Bagging and Boosting for classification along with Support Vector Machine.
Inter Population Genetic Variability in Tinospora cordifolia ( wild . ) Miers ex Hook . F . & Thoms . ( Menispermaceae ) , through RAPD marker

Tinospora cordifolia(Guduchi) is a widely used shrub in folk and ayurvedic systems of medicine. The notable medicinal pr operties reported are anti-diabetic, anti-periodic, anti-spasmodic , anti-inflammatory, anti-arthritic, anti-oxidant, anti-allergic, anti-stre ss, anti-leprotic, anti-malarial, hepatoprotective, immunomodulatory and anti-neopl astic activities. In this study, the RAPD (Random Amplified Polymorphic DNA) techni que was employed for determination of the genetic variability o f Tinospora cordifolia among the selected populations. The number of polymorphic loci is 19. The percentage of polymorphic loci is 46.34. The o v rall genetic distance and the genetic identity ranges from 0.1872 t o 0.4555 and 0.6341 to 0.8293 respectively. The overall observed and eff ective number of allele is 0.5049 and 0.3902. Nei’s overall gene diversity i 0.2114.
A Survey on Conditional Privacy in Vehicular Adhoc Networks

— Conditional Privacy preservation in VANETs (Vehicular Ad-hoc NETworks) must be achieved in the sense that the user related privacy information, including the driver's name, the license plate, speed, position, and travelling routes along with their relationships, has to be protected. The authorities should be able to reveal the identities of message senders in the event of a traffic dispute, such as a crime/car accident scene investigation. Therefore, it is critical to develop a conditional privacy preservation scheme in a VANET before it can be practically launched.
Surface Decimation by Scene Contents

Today, there is a wide variety of devices ranging from PC’s, game consoles, up to smartphones and tablets. These computing devices have major differences in performance and make mesh decimation still active in the ﬁeld of research. One of the latest topics in the area has been to create simpliﬁcation algorithms considering visual similarity. However, the full potential of most visual simpliﬁcation algorithms has yet to be tapped, especially in soft real-time interactive computer simulations such as video games and virtual reality environments. In this paper, a new framework, in which occlusion and visibility are exploited intensively, is introduced in order to simplify models more accurately by taking into account their context in actual 3D scenes. Static background elements are simpliﬁed by considering the effect of their surroundings, decreasing the polygon count in the surfaces partially hidden by others. In addition, by allowing users to perform an optimal placement of the cameras in the scene, simpliﬁcation in regions not seen from such viewpoints is dramatically increased. Dynamic elements, such as characters, accomplish a higher level of simpliﬁcation since these elements which often consist of multiple meshes, for example, clothes, those resulting from the design stage. These meshes usually cover some regions of the base mesh and are used as occluders in order to increase the amount of polygon reduction in dynamic elements, barely losing image quality.
Preparation and evaluation of Ketoprofen beads by meltsolidification technique

Ketoprofen exhibits short half-life, poor compressibility, caking tendency, gastrointestinal irritation & ulcerogenic effect. Hence, it is desirable to formulate into sustained release dosage form. Amongst different techniques, melt solidification technique is the recently developed technique used to produce sustained release dosage form. Ketoprofen beads were prepared by employing melt solidification technique with lower amount of excipient like cetyl alcohol. This technique involved emulsification and solidification of Ketoprofen-cetyl alcohol melt in an aqueous system followed by cooling and stirring. Cetyl alcohol being a wax, has ability to retard the drug release and acts as emulsifier. Hence, this technique was used to retard release of drug from waxy beads. Amount of Cetyl alcohol used was variable. The Ketoprofen beads were evaluated by DSC, FT-IR, XRD and SEM. Micromeritic and dissolution behavior studies were carried out. Beads exhibited decreased crystallinity and improved micromeritic properties. Release kinetics was studied in simulated gastric fluid and simulated intestinal fluid. No interaction was observed between drug and excipient. Beads obtained were spherical in shape and the yield was about 87%. XRD data were analyzed using Multidimensional minimization Programme, X- ray diffractogramms of drug and beads have shown no significant difference in the inter planar distance (d) values. Crystals of drug and beads were found to be of monoclinic. Drug release from the beads was by diffusion and followed first order kinetics. The study suggests that the Ketoprofen bead prepared by melt solidification technique is a novel approach to formulate sustained release dosage form.
Analysis of The Effects of Microstrip Configurations on RF MEMS Tunable Transformation Filters

208 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. Abstract— In this paper an RF microelectromechanical (MEMS) tunable bandpass to bandstop transformation f ilter designed for 3-4.2 GHz with low insertion and return loss and the effect of substrate thickness was analyzed. The band pass to bandstop transformation is achieved by adjusting th e coupling parameters of microstrip resonator. The microstrip resonator is designed by coupling more than one microstrip lines resulting in the independent tuning of centre frequency and the bandwidth. The simulative analysis of the effect of different microstrip configurations in microstrip bandpass to bandstop t unable filter is performed using COMSOL Multiphysics software.
Development of Human Machine Interface for the Control of the Integrated Hybridized Renewable Energy Resources in Community-based Power Pool System

— Renewable energy resources are those energy resources that are naturally provided by nature solely for the purpose of generating energy. The source of these renewable resources includes sun light, wind, rain, tides and geothermal heat. This design uses PLC in controlling and SCADA in Monitoring the system behaviors. The PLC in-use is Keyence and the SCADA in-use are in touch. The design provides a touch screen Human Machine interface that helps all the pool resources to be centrally managed thus, eliminating energy wastage. With this, all the pool agents with their respective energy generated are put to use. Five different communities were selected for this prototype experimentation. The results revealed that the Operators and Machine were synchronously interacted for the optimum energy utilization. The contribution to knowledge in this research work are enumerated and it reveals that it is feasible to achieve the interconnection of the community-based hybridized system together with the available renewable energy resources within the Afikpo metropolis for Power Pooling Purpose; uncovered the possibility of monitoring and controlling of the power pool system with the aids of the PC touch screen HMI implementable using PLC and SCADA configuration and developed a model for the determination of the hybridized power pool system. The research work was 90% achieved through simulation. Further research work should be tailored towards developing a similar scheme to cover five local government areas for upward eradication of energy wastages.
An Independent Edge Preserving Algorithm for Multiple Noise

: In this paper a new technique is used to removing mixed multichannel noise from multichannel image. The mixed noise in the multichannel image is detected by using multiscale detection. The HSDLF (Half space deepest location filter) is used to find the noise present in the half space deepest location. By developing the DEEPLOC algorithm in spatial domain the accuracy and effectiveness is increased in HSDL and also time complexity is reduced.
Whatsapp Messenger on the Android Platform: A Forensic Examination of a Physical Device

The major objective of this research was to develop a methodology that might assist digital investigators to extract and analyze third party application data during a criminal investigation so that the following questions might be answered: Who has the user been communicating with and when? What was the content of the communication? What attachments were exchanged and where can they be found? A comprehensive description of the evidentiary artifacts created by a third-party application, WhatsApp, is provided by the authors. Results from this study shows that the contact database allows an investigator to discover which users contacted each other at the date and time of said contact. Furthermore, analyzing the content of the message database, especially the message table, allows a digital forensic investigator to create a chronological sequence of exchanged communications and determine if any attachments were exchanged and their location on the device.
Analysing the suitability of storing Medical Images in NoSQL Databases

— The need for storing semi-structured and unstructured data has led to the rise of new kind of databases called NoSQL databases. This is due to the need of the storage needs of todays data which is schema less. NoSQL databases are very much suiting the needs of different aspects of storage and retrieval. The IT industry is going through a paradigm shift, where the entire scenario of storing and retrieval of information is moving towards NoSQL Databases. The medical industry has no exception, where the health care records mainly the medical images need a better data model for storage and retrieval. The need of the hour is to find a better suiting NoSQL `Database. This paper aims in studying the different NoSQL databases in the light of medical images.
APPLICATIONS OF SOFT COMPUTING IN VARIOUS AREAS

Soft Computing is the study of science of reasoning, thinking, analyzing and detecting that correlates the real world problems to the biological inspired methods. Soft Computing is the big motivation behind the idea of conceptual intelligence in machines. As such, it is an extension of heuristics and solve complex problems that too difficult to model mathematically. Soft Computing is tolerant of impression; uncertainty and approximation which is differ from hand computing. Soft Computing enumerates techniques like ANN, Evolutionary computing, Fuzzy Logic and statistics, they are advantageous and separately applied techniques but when used together solve complex problems very easily. This paper highlights various soft computing techniques and emerging fields of soft computing where they successfully applied.
Marvel of Technology Social Media: An Insight into the Honeycomb Framework of Social Media

We live in a technological jungle where virtuality is present in a form of social media but, still at a complex stage. That complexity can be decoded with the use of honeycomb structure of social media given by J.H. Kietzmann et al. Social media can be called as a marvel of technology because it offers an impressive quantity of information on users and their interactions with society by providing many fresh possibilities for study exploration to researchers, economists and statisticians and many others and we tried to find out the possibility by using the social media model of Kietzmann et al The model reflects the strategies adopted by different social networks to help them out to engage with customers. The purpose of this research is to address the different characteristics or functional construction blocks of social media (i.e., identity, conversations, sharing, presence, relationships, reputation or groups) of a social media honeycomb model is helpful in developing brand awareness and engaging with customers. A survey based empirical study with N=191 social media users was conducted by using a structured questionnaire. Correlation matrix was used to find the connection between the different functional blocks of the model of social media. The results of the correlation matrix show that out of seven building blocks, five building blocks i.e., identity, conversations, presence, relationships and groups are having a strong connection, whereas the two blocks i.e., sharing and reputation are having a weak connection.
International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Lung Cancer is one of the deadly diseases in the world today. Lung Cancer is caused because of some genetic factors and/or environmental factors and/or today’s modern lifestyle. Lung cancer has become the primary reason of death in developed countries. The majority effective way to decrease lung cancer death is to detect it earlier. The in advance detection of cancer is not easier method but if it is detecte it is curable. Various works have been done in predicting lung cancer different data mining approach and algorithm were adopt by different people. All work has some limits such as lack of intelligent prediction, and incompetent in structure that forced to take up this problem and to implement the Data mining based cancer prediction System (DMBCPS). This has proposed the Lung cancer prediction system based on data mining. This system is validated by comparing its predicted results with patient’s prior medical information and it was analyzed by using weka tool system. We analyzed the lung cancer prediction using classification algorithm such as Naive Bayes, SVM and Random forest algorithm. The dataset have 782 instances and 31 attributes. The main aim of this paper is to provide the earlier warning to the users and the performance analysis of the classification algorithms.
Well-Organized Manifold Ranking Method for Image Retrieval

assortment of information sorts, for example, the content, picture, and video. The center thought of Mainfold positioning is to rank the information as for the natural structure all in all uncovered by an expansive number of information. By considering the basic structure, Mainfold positioning allocates every information point a relative positioning score, rather than a flat out pair wise similitude as conventional ways. The score is dealt with as a separation metric characterized on the Manifold, which is more important to catching the semantic significance degree. He et al. [9] firstly connected manifold positioning to CBIR, and altogether enhanced picture recovery execution contrasted and best in class calculations. Abstract: Manifold Ranking (MR), a diagram based positioning calculation, has been generally connected in data recovery and appeared to have incredible execution and attainability on an assortment of information sorts. Especially, it has been effectively connected to substance based picture recovery, as a result of its exceptional capacity to find hidden geometrical structure of the given picture database. Then again, manifold positioning is computationally exceptionally costly, both in chart development and positioning calculation stages, which altogether confines its appropriateness to substantial information sets. In this paper, we broaden the first Manifold positioning calculation and propose another structure named Efficient Manifold Ranking (EMR). We plan to address the deficiencies of MR from two points of view: adaptable chart development and effective calculation. In particular, we manufacture a stay diagram on the information set rather than the conventional k-closest neighbor chart, and outline another type of nearness lattice used to accelerate the positioning calculation. The test results on a genuine picture database exhibit the viability and productivity of our proposed technique. With a total amount execution to the first manifold positioning, our system altogether lessens the computational time, makes it a promising strategy to expansive scale genuine recovery issues.
Magnetic Resonance Imaging Lumbo Sacral Spine in Assessment of Low Back Pain in Young Adults

Introduction: Low back pain (LBP) is a common health problem in population worldwide leading to concomitant disability which has assumed a public health importance in our setting. While it is relatively common in elderly, the incidence of LBP in young adults was alarmingly increasing. Purpose: To find etiology of LBP in symptomatic young adults (10-35 years). Identification of associated modifiable risk factors of LBP in young adults and accordingly enable successful implementation of prevention strategies. Materials and Methods: This was a prospective study of 100 respondents. A questionnaire was used to obtain information on clinical symptoms, socio-demography, lifestyle, occupation, and other risk factors associated with LBP amongst clinically symptomatic young cases below 35 years attending magnetic resonance imaging (MRI) department in Government Medical College, Aurangabad. Results: Of 100 cases, 54 were females and 46 males, 30 (65.21%) males and 35 (64.81%) females had abnormal MRI findings. Most common etiology of LBP found was degenerative disc disease (76.92%) followed by trauma (7.69%), tumors (4.61%) and infective (4.61%), inflammatory (3.07%) and least common etiologies being metabolic (1.53%) and developmental Scheuermann s disease (1.53%). Among 50 cases showing positive disc degeneration findings, 27 (54%) were involved in heavy physical activity, 21 (42%) in prolonged hours of sitting (>8 h), and rest 2 were involved in prolonged standing. Hence, we found that LBP incidence was associated with increased hours of heavy physical activity and prolonged hours of sitting. Conclusion: The prevalence of LBP among young adult cases in our setting is high, with preventable and treatable predisposing factors. Cases should improve their physical fitness, practice frequent breaks, and stretching during sitting. Public health efforts should be directed at educating people on occupational and lifestyle habits.