Miracle-dz/UniFAR-FTUs huggingface dataset:
Testability Assessment of Object Oriented Software Using Static Metric Model and Analytic Hierarchy Process

Based on existing software testability models for object oriented software, we have proposed a new testability assessment model for object oriented software. The model is based on those six important internal programming features of object oriented design which are not used before together at the same time in-spite of being highlighted in some or other research. These factors are assessed using popular static object oriented metrics and their link with testability is established. The model is further analysed using Multi Criteria Decision Making (MCDM) approach. The model would be validated using Analytic Hierarchy Process (AHP). The proposed model and evaluation technique helps software engineering practitioners to choose the best alternative amongst available options by analysing the Testability.
Efficient Data Gathering with Compressive Sensing in Wireless Sensor Networks

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In this paper, we study the problem of data gathering with compressive sensing (CS) in wireless sensor networks (WSNs). Unlike the conventional approaches, which require uniform sampling in the traditional CS theory, the wireless sensor networks are very useful in such area where the human being is unable to go and monitor. In such areas the continuous monitoring is require without failure of network or nodes but wireless sensors network have some energy constrain and cost constrain. we propose a random walk algorithm for data gathering in WSNs and for future purpose we can compare the result of random walk approach to chain based algorithm for data gathering which is traditional algorithm regularly used for network formation in WSNs. Random walk algorithm approach will absorb the constrain like path constrain for network efficiently and give non-uniform measurement. In this paper, from the perspectives of Compressive sensing theory and graph theory, we provide mathematical foundations to allow random measurements to be collected in a random walk based manner We obtain random matrix from expander graph which will constructed by node measurement and for reconstructing we use l 1 minimization theorem. Comparing two approaches with respect to their probability of data gathering . we also carry out simulation of both the scheme. Simulation result shows that our proposed scheme random walk approach can significantly reduce communication cost and reduce noise .
An Analysis on Opinion Mining: Techniques and Tools

The use of social media has created many opportunities for people to publicly voice their opinions, but when they are meant to have a opinion make a serious problem. Opinion mining is a type of natural language processing which could track the mood of the people about any particular product by review. Opinion Mining is a process of automatic extraction of knowledge by means of opinion of others about some particular product, topic or problem. The idea of Opinion mining and Sentiment Analysis tool is to process a set of search results for a given item based on the quality and features. Opinion mining is also called sentiment analysis due to large volume of opinion which is rich in web resources available online. Analyzing customer review is most important, by doing that we tend to rate the product and provide opinions for it which is been a challenging problem today. Thus this paper discusses about Opinion Mining the techniques and tools used.
Use of the emergency medical services by patients with suspected acute primary healthcare problems: developing a questionnaire to measure patient trust in healthcare

Rationale, aims and objectives The objective of this study is to develop a questionnaire measuring the level of trust and its constituents in patients calling the Emergency Medical Services for suspected acute primary healthcare problems. Four different frontline service providers were involved: the Dispatch Centre (DC), the Emergency Medical Services (EMS), the Emergency Department (ED) and the Healthcare Centre (HCC). Method The questionnaire was called the Patient Trust Questionnaire (PTQ). Repeated cross-sectional data collections were made and redundant items were gradually discarded. Finally, the constituents of trust were sought. Based on a literature review, the PTQ was developed as a psychometric instrument in four steps, as follows: 1) Item construction, 2) Face-to-face evaluation of items, 3) Item reduction, 4) Test of factor structure. The inclusion criteria for participating were that the patient must be 18 years of age or older and suspected having an acute primary healthcare problem when calling the EMS. In developing the questionnaire, 427 patients were included. Results Eight items remained for each frontline service provider in the PTQ, and two constituents of trust were found: credibility and accessibility. Conclusion A new measuring instrument has been developed for this particular healthcare chain, for patients with suspected acute primary healthcare problems calling the EMS. The two constituents of trust, credibility and accessibility, are assumed to be specific for this particular healthcare chain.
Effect of 1-Thioglycerol as Capping Agent on ZnS Nanoparticles: Structural and Optical Characterization

In this work, we report effect of capping agent on structural and optical properties of Nano crystalline ZnS particle, which have been synthesized by co-precipitation method. The structural properties of ZnS nanoparticles have been characterized by X-ray diffraction (XRD) analysis. The XRD patterns show hexagonal structure in nanoparticles. The mean crystallite size calculated from the XRD patterns has been found in the range of 1.85-2.44 nm with the increase in molar concentration of capping agent. Absorption spectra have been obtained using UV-Vis spectrophotometer to find the optical direct band gap. The obtained values have been founded to being range 3.98-4.34 eV. We also found that optical band gap (Eg) increases with the increase in molar concentration of capping agent. This behavior is related to size quantization effect due to the small size of the particles.
L-Shaped Monopole Antenna with Modified Partial Ground Plane for Multiband Operation

In this paper a design of L-shaped monopole antenna (LMA) with modified partial ground plane for multiband operation is presented. The `dimension of proposed antenna is 40× 47 mm2 with 1.6 height using Teflon substrate having dielectric constant 2.1. The ground plane is amended by inserting an anti-symmetric horizontal L-slots. Single band to multiband behaviour is accomplished by applying two horizontal L-slots on partial ground plane of LMA. Both the slots are antisymmetric to Y-axis. The parametric study has also been done which is responsible for antenna behaviour. The operating frequency bands of designed antenna are 2.35-2.91GHz,3.24-3.51GHz ,4.31-5.30GHz and 5.90-6.31GHz which is suitable for Bluetooth (2.4GHZ),WLAN (2.4GHz,5.2GHz), WiMAX (2.3GHz, 2.5GHz, 3.5GHz, 5.2GHz), C-band (4-8GHz) and S-DMB (2.6GHz) applications. By using the HFSS simulator we accomplished that our designed antenna show an enhancement of bandwidth and good matching impedance.
Sentiment Analysis of Arabic Tweets: With Special Reference Restaurant Tweets

Sentiment analysis is an emerging area, its use in industry and business sector is increasing due to provision of sentiment of the core information applications are requiring. The product manufacturers always require some method to know the future acceptance of their product in production. This is among the key knowledge to enhance the quality of the produc t and improve the underlined process. The research undertakes sentiment analysis of Arabic tweets extracted through Twitter microalgae. The methodology was divided in two phases. Analysis of text models for many combinations of text is done; few examples are stop word reduction, stemming, and n-gram. The other phase applied and analyzed results of classifiers like Naive Bayes, SVM and K-nearest neighbour. Arabic Sentiment Analysis is a challenging task because, applications developed for Arabic natural language processing focused only modern Arabic, while less focusing the various dialects in operation by different regions like North Africa, Egypt and Gulf States. Rapidminer is a tool used to conduct the simulation. Semantic analysis classifiers are developed to learn manually annotated data. This yielded eighty eight percent accuracy of cross validation. It is evident that picking preprocessing strategies for the reviews enhances the ability of the classifiers. In future the research aims to solve target identification of tweets and classify tweets with the help of patterns.
Design of Substrate Integrated Waveguide Antennas for Millimeter Wave Applications

The paper presents a new concept in antenna design, whereby a photo-imageable thick-film process is used to integrate a waveguide antenna within a multilayer structure. This has yielded a very compact, high performance antenna working at high millimeter-wave (mm-wave) frequencies, with a high degree of repeatability and reliability in antenna construction. Theoretical and experimental results for 70 GHz mm-wave integrated antennas, fabricated using the new technique, are presented. The antennas were formed from miniature slotted waveguide arrays using up to 18 layers of photo-imageable material. To enhance the electrical performance a novel folded waveguide array was also investigated. The fabrication process is analyzed in detail and the critical issues involved in the fabrication cycle are discussed. The losses in the substrate integrated waveguide have been calculated. The performance of the new integrated antenna is compared to conventional metallic, air-filled waveguide antennas, and also to conventional microstrip antenna arrays operating at the same frequencies.
EMU-Synchronization Enhanced Mobile Underwater Networks for Assisting Time Synchronization Scheme in Sensors

—Efficient data transmission is a critical issue for wireless sensor networks (WSNs). Clustering is an effective and practical way to enhance the system performance of WSNs. In this paper, we propose a cluster-based synchronization algorithm for underwater acoustic sensor networks based on MU-Sync, called EMU-Sync. In underwater sensor networks the time synchronization is challenging for long propagation delay, sensor node mobility and energy consumption. The improved performance of MU-Sync from the EMU-Sync gives the ability to maintain its low Complexity. This is possible by allowing the cluster head to calculate the skew and the offset from the view of both a cluster head and a neighboring node. Simulation results confirms that EMU-Sync offers better performances than MU-Sync in both accuracy and energy efficiency.
An A3P approach towards Image Privacy policy recommendation on content sharing sites

— Popularity of the social media like Facebook, Flickr, LinkedIn and others has increasing everyday due its various features provided. Some of the features are to collaborate with friends, good and friendly user interface to share data and multimedia content at ease. Data uploaded to Social network by the user are at high risk of vulnerability. User uploaded data on the social media does play vital role in user connectivity. Thus maintaining privacy of the user uploaded data on content distribution network is at most important. To control privacy of the uploaded data user should also provide privacy information for the uploaded data. It is observed the difficulty in setting privacy for images shared by user in social network. This requires automation privacy recommendation for the user shared images based on the image metadata. This suggested privacy inference for uploaded image should suits his satisfaction level. The necessary aspect considered are social context and image metadata for analyzing the privacy setting for the user uploaded data. Two-level framework is proposed which utilizes user’s history for recommending best policy setting for uploaded image. Solution provided in paper relies on an categorizing the image based on image metadata which may belong to similar policies and predicting the policy using apriori data mining algorithm to automatically suggest a policy for each image uploaded by the user in social network. The goal of this paper is to provide extensive method for privacy policy suggestions to improve the security of shared data in the social media sites.
EVALUATION OF ANTI-CANDIDAL EFFICACY OF FREE AND MICROSPHERE ENCAPSULATED THYMOQUINONE

Nigella sativa, an annual medicinal plant is traditionally used in different parts of world for many centuries due to its potential health benefits. Thymoquinone (TQ) is the bio-active component of Nigella sativa (Ranunculaceae) seeds exhibits various beneficial properties. The present study explores the extraction of thymoquinone from seeds of Nigella sativa, purified and characterized. The purified compound was then encapsulated in chitosan microspheres and the encapsulated TQ was characterized using SEM, DLS, AFM and FTIR instrumental techniques. The process of encapsulation followed in the present study does not require glutaraldehyde for stabilization of microspheres. Anti-candidal activity of both free and encapsulated TQ was studied using standard protocol. Minimum inhibitory concentration of free TQ was determined as 1500 μg and it was 500μg for encapsulated TQ. The kinetics of release studies followed zero order.
Evaluate of Head Loss, Sediment Value and Iron Removal in Rapid Sand Filter

Quality and appropriate quantity of water is necessary for human kind to survive. Along with the technology development and increasing consumption of water resources, we are experiencing low qualities in the mentioned resources. Iron is the fixed element found in the crust of the earth. This metal found variously in water resources and industrial activities. Therefore, it needs to treat the water resources from these excessive amounts. Different methods have used for this reason but the most used method during recent years has been the absorption by economic absorbers such as sand. Rapid sand filters usually used in water treatment plants for water clarification. In this research, a single layer gravity rapid sand filter has used to reduce different concentrations of iron. sediment value and head loss arising from it specially oxidized iron sediments in filter media is simulated by using combination of Carman-Kozeny, Rose and Gregory models in different discharges of rapid sand filter. Results have shown that with increasing in discharge and decreasing in input iron concentration, arriving time to given head loss, is increasing. In addition, results demonstrated that with increasing in iron concentration in influent, removal efficiency is decreasing somewhat. Results of this research can applied in (1) appropriate design of rapid sand filter to iron removal, (2) prediction of rapid sand filter ability to iron removal and (3) estimation of arising head loss during filter work thus evaluating of time interval backwash. [Hossein Banejad, Reza Pirtaj Hamedany, Navab Daneshi. Evaluate of Head Loss, Sediment Value and Iron Removal in Rapid Sand Filter [Hossein Banejad, Reza Pirtaj Hamedany, Navab Daneshi. Evaluate of Head Loss, Sediment Value and Iron Removal in Rapid Sand Filter. Journal of American Science 2010;6(12):1218-1226]. (ISSN: 1545-1003). http://www.americanscience. org.
Use of Low Level Features for Content Based Image Retrieval: Survey

Survey paper reviews the fundamental theories of Content Based Image Retrieval algorithms and development in this field. These algorithms retrieve the digital images from large image database. Image is retrieved from the low level visual content features of query image that is color, texture, shape and spatial location. First we review the visual content description of image and then the fundamental schemes for content based image retrieval are discussed. We also address the comparison of query image and target image of large data base with the indexing scheme to retrieve the image. Relevance feedback in CBIR system is a dominant technique for the retrieval of image which is derived from user’s feedback iteration process. Lastly we discuss the evaluation and semantic gap. In the concluding section we mention our views on role of similarity function with learning and interaction, the problem of evaluation and semantic gap as well as future research directions.
Bursty Communication Performance Analysis of Network-on-Chip with Diverse Traffic Permutations

— To satisfy the increasing communication demands of complex VLSI circuits, Network on Chip (NoC) has been introduced as a new paradigm, where processing and communication can be independently catered by communication infrastructure design. Network on Chip proposes to establish a communication infrastructure for the complex VLSI circuit in such a way that communication between any nodes in the circuit is possible even if the circuit blocks are not directly connected by a direct channel. Each circuit block of the whole circuit can be assumed as an Intellectual Property (IP) which may be a microprocessor, memory or ASIC, etc. In this paper the performance of standard 2D mesh NOC is analyzed for bursty communication traffic for various traffic or topology mapping patterns such as butterfly, transpose etc over a NOC simulation framework. The routing for the NoC is assumed to be XY and OE.
Performance Prediction of an Adiabatic Solar Liquid Desiccant Regenerator Using Artificial Neural Network

This paper presents an artificial neural network (ANN) algorithm developed and trained to predict the performance of a solar powered adiabatic packed tower regenerator using LiBr desiccant. A reinforced technique of supervised learning based on the error correction principle rule coupled with the perceptron convergence theorem was used. The input parameters to the algorithm were temperature, flow rates and humidity ratio of both air and desiccant fluid and their respective outputs used to determine regenerator effectiveness and moisture removal rate. The optimum performance of the ANN algorithm was shown by structures 6-4-4-1 and 6-14-1 for moisture removal rate (MRR) and effectiveness respectively. Upon comparison, the predicted and experimental MRR profiles aligned perfectly during training with a maximum and mean difference of 0.18g/s and 0.11g/s. The regenerator effectiveness profiles also agreed well with a few negligible disparities with a mean and maximum difference of 0.6% and 1%. With respect to humidity ratio, the algorithm predicted the experimental MRR values to maximum and mean accuracies of 0.0925% and - 0.012%. The maximum and mean accuracies of 4.14% and 0.53% were realized in the prediction of experimental effectiveness by the neural network algorithm. The ANN model precisely predicted the experimental MRR with respect to inlet desiccant temperature with an average deviation of -0.5290% while the highest difference was 3.496% between predicted and measured temperature. With change in inlet desiccant temperature, the ANN predicted and experimental values revealed maximum and mean deviations of 2.61% and 0.21%. While the regenerator moisture removal rate varied proportionally with the air temperature, the predicted MRR values matched perfectly with the measured data with a mean and highest difference of -0.12% and 3.2%. In all the aforementioned cases, the mean and maximum differences between the ANN model and experimental values were way below the allowable limit of 5% hence the algorithm was deemed to be successful and could find use in air conditioning scenarios.
Clustering-based Routing Protocols in Ad hoc Networks

: The clustering means dividing geographical region into smaller areas in which each area is represented by a resource rich leader node, called clusterhead . The clustering has several benefits such as reducing the communication and computation overhead. In this paper, we discuss how the clustering concept can highly benefit the efficient routing and examples of routing protocols using clustering concept in wireless ad hoc networks.
Human tumor slice cultures for cancer research and drug testing

Three-dimensional (3D) cell culture models became an important technique in oncology research. These novel 3D techniques permit the investigation of the tumor microenvironment, promising clinical assays to predict patient response and enhanced drug selection for clinical trials. Although early diagnosis and development of new treatment strategies led to improved prognosis, the burden for the patient still remains high, without guaranteed achievement. These biological complex, but necessary models have already been shown significant advancements and need to be narrowly enrolled in cancer drug discovery in the future. Here, the human tumor slice culture is shortly presented with shortcomings, advantages and points to consider, when handling this simple but complex 3D tumor model.
Providing The Natural User Interface(NUI) Through Kinect Sensor In Cloud Computing Environment

Cloud computing has continued to evolve and advance over the ensuing years. Cloud computing is the practice of using a network of With the Advancement of technologies, the low-cost Microsoft Kinect Sensor revolutionized the field of 3D Vision. Microsoft Kinect Sensors gives eyes, ears and brain to the computers by simple hand gesturing and speaking. The Microsoft Kinect Sensor has brought new era of Natural User Interface (NUI) based on gaming and the associated SDK provided access to its powerful sensors, which can be utilized especially in Research purposes. Thousands of people around the world are playing with built-in multimodal sensors, but still a complete kinect system lacks, thus requiring a physical device to fulfill its work. The Kinect Sensors recognizes each and individual users when they talks and what they speak. The information provided by the Kinect gears up new opportunity to fundamental problems in Computer Vision.The Kinect Sensors incorporates several advanced sensing hardware‟s. Most notably, it contains depth sensor, a color camera, and a four-microphone array that provides full-body 3D motion capture along with facial recognition, and voice recognition capabilities. The Kinect has robust 3D sensors for face recognition, using Microsoft Kinect sensors we can build an effective Rehabilitations system . Apart from the gaming applications, the Microsoft Kinect has lot of applications in all fields like clothing, medical imaging, used in many organizations for effective presentations. This innovation behind Kinect hinges on advances in skeletal tracking.
Enhanced Analysis Method for Suspicious PDF Files

This paper presents an enhanced method for analyzing suspicious PDF files. Since recently these files are considered as common, reliable and secure documents used by attackers as a container to attack users. Attackers have shifted their methods from server-side to client-side attacks. The attackers used them to carry out malicious code on the computer systems of the users. This attack makes a threat to the institution’s asset that could be exploited. The enhanced method is based on scan the PDF file structure according to predefined set of keywords together with the new defined keywords. Also define the vulnerabilities and the most common techniques the attackers use to be protected from discovery. The new defined keywords are identified as objects, have been used by attackers, recently embedded in the PDF files. The enhanced method identifies malicious PDF documents by searching for embedded objects that are considered as suspicious keywords in the documents. The importance of this paper lies on develop a method to detect suspicious PDF files which depends on extracting and pointing out malicious objects that are often used for attacks. This enhanced method will be of great importance to users who deal with threat every day.