Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Optimization Of FPGA On-Chip Memory For Image Processing Algorithm

- This paper is concerned with efficient optimization and low power implementation of FPGA on-chip memories in image processing algorithms. In recent years on chip memories are expected to increase continuously which depends upon the application for future generation portable devices and high performance processors. Memory plays a major role in image processing applications more than 90% of the consumed power in the system is by the memory part. This paper provides a novel approach by making SPSRAM to function like a DPSRAM. It supports most of the access schemes for Image processing algorithms and also when the readout changes the memories need not to be redesigned. It achieves high throughput, less hardware requirement and high bandwidth utilization. The full bandwidth utilization has been achieved by splitting the on-chip memory into four sub banks. The Optimization of power can be done by making any two banks active at a time.It is well suited for various image coding algorithms when compared to the typical SPSRAM and TDP SRAM.It finds applications in most of the parallel processing fields .
SISTERHOOD IN TONI MORRISON’S LOVE

This paper analyzes female friendship in novel Love written by Toni Morrison, he dealt black diasporic women and examines the impact of class and gender on women‘s relationships. African woman writer Toni Morrison won the Nobel Prize for Literature renowned literary wave higher than the wave of the boom can be said about her work. All the critics’ application of critical theory parsing Morrison works in the race, gender and culture. This paper focuses on Morrison's novel Love, this little emphasis on the theme. Morrison works sisterhood topic ignored the main reason people are not well defined sisterhood, and with female same sex confuse. In order to eliminate this confusion and to highlight the significance of the sisterhood, In addition to the theoretical definition of the concept of sisterhood, the key analysis sisterhood five novels in Morrison's characterization. This paper consists of the theoretical definition of the sisterhood summary of the full epilogue. The introduction pointed out that the purpose and significance of the research on the theme of the love in Morrison sisterhood. The work focuses on the characterization of the sisterhood by comparing construction, deconstruction and reconstruction. Characterization of the sisterhood constructs of women history, not only against the oppression of male history, and highlights the meaning of love: self-love, love of others, love in groups. Sisterhood in the entire American female literary look at, so as to seek a literary tradition sisterhood, further prove and stressed the significance of Sisterhood.
Evaluation of Programs: Reading

Carol Weiss did much to enhance the role of evaluation in her writings. Her work shows evaluators what affects their roles as they evaluate programs. Furthermore, her theory of change spells out the complexities involved in program evaluation. There are various processes involved in the evaluation of programs. The paper looks at some of the aspects that inform this process. Effective evaluation of programs can lead to improvement of programs and good delivery of projects in future. It is Weiss who stated that evaluation should have an influence on policy and practice. Amongst other themes explored here are the politics of evaluation as well as the crucial role of the evaluator within the complexity of evaluation of programs.
Survey Study of Image Denoising Techniques

: These papers presents a survey on various noises and image denoising techniques and discuss these techniques and filters in detail. Image denoising is often used in the field of photography or publishing where an image was somehow degraded but needs to be improved before it can be printed. For this type of application we need to know something about the degradation process in order to develop a model for it. When we have a model for the degradation process, the inverse process can be applied to the image to restore it back to the original form.
Automatic Bone Marrow White Blood Cell Classification

- The proportion of counts of different types of white blood cells in the bone marrow, called differential counts, provides invaluable information to doctors for diagnosis. Due to the tedious nature of the differential white blood cell counting process, an automatic system is preferable. This is important because segmentation of nucleus is much easier than the segmentation of the entire cell, especially in the bone marrow where the white blood cell density is very high. We analyze a set of white-blood-cell-nucleus-based features using mathematical morphology. Fivefold cross validation is used in the experiments in which Bayes’ classifiers and artificial neural networks are applied as classifiers. The classification performances are evaluated by two evaluation measures: traditional and class wise classification rates .
True Cramer-Rao Lower Bound for NDA Phase Estimation from General M-QAM Modulated Signals over Flat Rayleigh Fading Channel

In this paper, we derive for the first time the analytical expression of the CramerRao lower bound (CRLB) for non-data-aided (NDA) carrier phase estimation from quadrature amplitude modulated (QAM) signals over flat Rayleigh fading channel (FRFC), where the fading gain is not constant during the observation window. The second derivative of the neperian logarithm of the probability density function (PDF) p(x|φ) of the observation vector x parametrized by the carrier phase error φ is analytically developed. Then numerical Monte Carlo (MC) method is used to find out the true CRLB from square M-QAM modulation signals over FRFC with complex additive white Gaussian noise (CAWGN). It is through the assessment of the true CRLB from QAM modulation signals for various observation window lengths that our method is proven to be trustworthy. For sufficiently large observation window size, simulation results show that optimal NDA carrier phase recovery depends on the constellation density for low SNR range. For different modulation orders the CRLB decreases as far as the observation window length increases. The derived bound provides an efficient standard for measuring the performance of any unbiased NDA carrier phase estimator for square M-QAM modulation signals over FRFC. The method presented here stands useful for general linear modulations.
The Effects of Mentor Quality, Exposure, and Type on Junior Officer Retention in the United States Army

Despite the prevalence of mentor relationships in the workplace, little is known about their impact on labor market outcomes, including job retention. Using plausibly exogenous assignment of proteges to mentors in the U.S. Army, we find positive retention effects for proteges assigned to high-performing immediate and senior supervisors. These positive effects are strongest for those with high SAT scores. We find virtually no evidence of type-matched mentoring effects on retention, except when mentors are also high-performing. For proteges serving under high-performing mentors, matching on high SAT score and home division positively impacts protege retention.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber. org.
PREDICTION OF USER RARE SEQUENTIAL TOPIC PATTERNS OF INTERNET USERS

-The advances of technology overtime have enabled the access to textual documents to Internet users all over the world with ease. Sequential patterns have been a focused theme in data mining. Finding the behaviour of a Sequential pattern are helpful in finding many analysing applications like predicting next event has been vital. But there exist a difficulty, since the mining may have to generate or examine a combinatorial abrupt number of intermediate subsequence. In this paper, we scrutinize abnormal behaviours of Internet users in Gmail and Twitter, we propose Sequential topic patterns (STP) and coin the problem of mining User-aware Rare Sequential Topic Patterns (URSTPs) in document streams on the Internet. Some contents are frequent for specific users, so it can be used to find the abnormal behaviour of the user in real-time scenario. To achieve this, a set of algorithms is presented. It includes algorithms for pre-processing the user contents, generate all STP support values for efficient pattern growth, and selecting user-aware rare sequential topics by using rare pattern domain analysis.
A REVIEW FOR AGRICULTURAL PLANT DISEASES DETECTION USING DIFFERENT TECHNIQUES

This paper presents the different advanced techniques to detect and classify plant leaf.The crop disease causes losses in Production and economics in agricultural field. Generally through the naked eyes the observations taken by the Experts ancient time for the detection and identification of crop diseases. But for this the continuous monitoring is required by the Experts and It is too expensive in large fields. So many under developed countries in agricultural area, farmer needs to take lots of efforts. Simultaneously it will be so expensive and time consuming also for both experts and farmers. Early information of plant health and disease detection can control of diseases through proper management such as vector control such as pesticide applications. The present review describes the technologies used in monitoring health and diseases in plants under field conditions.These technologies include spectroscopic and imaging based, and volatile profiling-based plant disease detection methods. The paper compares the benefits and limitations of these methods.
Resource discovery in Grid computing using Fuzzy Logic and Tabu Table

Summary Resource discovery is a very important task in Grid environments. Grid technologies enable us to share the distributed resources. For using these resources what will be needed are the resource management systems. The resource management discovers the resources to obtain some information about the resources and therefore, because of the complex and dynamic nature of the Grid resources, the issue of resource discovery and sharing has been emerged out. In this paper, an approach has been introduced for the resource discovery with implications for searching efficient resources using fuzzy logic and taboo table. The resource discovery starts with the network request to find appropriate resources in the Grid. The discovery process is very vital and critical in the management and allocation of resources. Proposed approach have been simulated in Matlab environment and the comparison of obtained results to other approaches indicates the efficiency of proposed resource discovery.
Implementation of Knime-Data Mining Tool

— Today data mining is one of the emerging research area in the field of computer science. Data mining is used for many business application finically sector etc. thus to implement the concept of data mining there are many tool available which provide the functionally of data mining algorithms . Thus in this paper we present the implementation of some data mining techniques through KNIME tool by configuring KNIME nodes KNIME tool provides the different nodes like file reader node, parathion node, decision leaner tree, decision predictor node scorer, color manager node all these nodes can work independent, But by using the output of a node as an input in other node one can implemented the data mining techniques like clustering, Association or some predicative models. KNIME also provide the functionality to represent the different cluster in the form of group which has different colors. In This paper we have also implemented the K-means Algorithm through K-means Node which is used for clustering K-means,& Scorer etc.
Estimation and Decomposition of China’s Provincial Total Factor Productivity: Based on DEA Malmquist Index Method

Total factor productivity is thought to be the key factor to economic development, while related empirical studies on China’s total factor productivity estimation is limited. This paper using a Malmquist index model, estimated China’s provincial total factor productivity during 2009-2015, and decomposed total factor productivity into technological progress, technological efficiency and scale efficiency to study its affecting factors. The main results show that China’s total factor productivity has a limited contribution to economic development compared with before and total factor productivity in China has been declining since 2011.We also found the growth rate of China’s total factor productivity in less developed areas was greater than that of more developed areas, in which technological progress contributed most. However, further analysis shows that although China’s past TFP growth depend on technological progress, its effect is fading. We believe this paper have important policy implications that China should pay more attention to improving TFP through promoting efficiency, and China should also further improve self-innovation to promote technological progress growth. Keywords: economic growth, malmquist index model, total factor productivity
DISSOLUTION KINETICS OF IMMEDIATE RELEASE MINI- TABLETS OF CEFUROXIME AXETIL

The underlying principle of this research is to design the formulation and characterization of in vitro drug release of an immediate release mini-tablets of cefuroxime axetil. In order to get improved solubility and dissolution rate of cefuroxime axetil in gastrointestinal fluid, the hydrophilic grade of Gelucire 50/13, Poloxamer 188 and Sylysia 350 were used as release modifiers. Initially ten formulations (F1-F10) were prepared by direct compression technique and evaluated the physicochemical properties, in vitro dissolution study and their drug release kinetics parameters. The X-RD pattern specifies its amorphous nature, while Gelucire-50/13 exhibits a semi-crystalline nature. Gelucire 50/13, Poloxamer 188 and Sylysia 350 were typically applicable for the preparation of fast-release formulations. Sylysia 350 based formulation is found to be efficient and its mini-tablets were appropriate for immediate release as compared to Gelucire 50/13 and Poloxamer 188 formulations because of faster drug release that is 100% within 5 min for formulation (F4). There is no considerable alteration in dissolution data on storage at 40 o C and 75% relative humidity for three months.
Investigation of Material Removal Rate in Turning Operation

The challenge of recent machining industries is reduce lead time and increase production rate in order to maintain their competitiveness. This paper investigates the machinability of mild steel in turning process perform on conventional lathe machine. Twoparameters like tool rake angle and feed are varied to investigate their effect on material removal rate. An attempt has been made to model the one response variable using Taguchi an ANOVA method. These are techniques of great practical importance in a lot of applications of statistical conclusion in a reliable way. Taguchi L9 orthogonal array is used for experimental design.The main aim of this work is save power and useful production time during manufacturing of product.
Secure and Optimal Resource Allocation in Cloud Environment for Media Streaming Applications

— Cloud computing is latest high-end technology that has enormous popular demand in cooperative and trade advertising operations. Cloud provider provides resources to organization to store their data and perform computational operations in order to minimize infrastructure cost and increases resources utilization. So that reduces the organization infrastructure investment by reusing existing resource instead of purchase individual license for product and maintenance. Pay as-you-go model is beneficial for organization for use of applications widely. The major region to improve cloud environment is security and Quality of service where delay should minimize by allocate resources for media streaming application in cloud efficiently. Demand of end users increases when trusted, reliable cloud is available. Paper studies on how to provide security and how to allocate resource with minimal cost and delay with optimal window size and reservation time. Security issues are solved by using Ping-Pong based algorithm where it is light weight algorithm. Moreover in our methodology use Ping-Pong by adding further user credentials for keeping user details secure in cloud. Media content provider load is reduce by adding demand forecast and predictive based resource allocation algorithm. Implementation of paper use Netbeans
Simulative Comparison of Copy-Move Forgery Detection Methods for Digital Images

– Copy-move image forgery is a simple and effective operation in which a region of an image is copied and then pasted to another location in the same image after applying post operations like scaling, rotation, compression or noise addition etc. The aim behind this type of forgery may be to hide some particularly important details in the image. The problem of detecting, whether an image has been forged or not; has been resolved by implementing a block based method-PCA combined with a key-point based method-SIFT (known as PCA+SIFT method) using MATLAB platform. Moreover, the performance of above said method has been compared with SURF and DWT+SIFT methods in terms of sensitivity, specificity, accuracy, FPR and FNR using MICC-220 dataset. It has been observed that PCA+SIFT method shows effective detection on MICC-220 dataset with duplicated, noisy and compressed regions. Experiments results also prove the effectiveness of PCA+SIFT method in dealing with multiple cloning.
An Evaluation of Stakeholder Management Role in GETFund Polytechnics Projects Delivery in Ghana

Construction projects are undertaken to achieve specific goals and the success of it is measured by the realization of the set goals including stakeholder satisfaction. Several stakeholders are involved in construction projects and depending on the nature, complexity, procurement method adopted; stakeholders are involved at different stages of the project undertaking different roles and responsibilities. These stakeholders with varying stake influence and power, plays major roles in the success or failure of the project. Stakeholder Management is therefore essential if project goals are to be achieved. The Ghana Education Trust Fund (GETFund) is a key stakeholder established to provide and maintain educational infrastructure but has failed to achieve its objectives. Several projects have failed and stakeholders are dissatisfied. This study explores the role of Stakeholder Management in GETFund projects delivery. A mixed method approach of qualitative and quantitative surveys using semi-structured interviews and questionnaire was adopted. Research findings were analyzed using triangulation and descriptive analysis methods to evaluate the role of SM in project delivery. SM plays major role in project time, cost overruns, scope variation, non-completion, abandonment and poor payment schedules through poor SM process consideration and records keeping. Respondents agree that SM role should be considered during project planning, development and execution stages using SM framework. Keywords: Evaluation, GETFund, Project Delivery, Role, Stakeholder Management
PARTIALLY FLIPPED ENGLISH CLASSROOM IN A SCHOOL SET-UP: A COMPARATIVE STUDY OF PEDAGOGICAL PRACTICES

: With the advent of digital technology and the realization of its usefulness in classroom, pedagogical practices are changing in a major way. Flipped Classroom Model (FCM) is touted as the future pedagogical practice. Technology cannot replace the teacher, but better teaching /learning can take place if technology is used to aid the teacher in the classroom. A partially flipped classroom involves flipping some of the classroom / home activities. An experiment was conducted at a selected school in the Kashmir Valley in India by partially flipping the English classroom. The purpose of the study was to test whether the proposed model works as a better pedagogical model compared to the conventional teaching-oriented classroom setting. The results obtained from the study show students favour the partial flipping and the model is successful in generating stronger student motivation and better performance compared to conventional pedagogical models of teaching English
An efficient clustering approach in MANET

-MANET is a system of mobile nodes interacting without the support of central communication or access points. In recent years mobile ad-hoc network has been so popular and there are so many researches have been done in various fields but still there are many things for research. The different areas of MANET which are taken into consideration for research are routing, bandwidth, power consumption, mobility and many more. Usually broadcasting is used in network but it is not safe and it is costly too, to overcome this, clustering approach is used. In this approach cluster election is the crucial step in optimizing the performance of any clustering algorithm. In clustering, broadcasting is done through cluster heads which is selected on some parameters used mobility, energy and transmission range. In MANET, nodes are mobile, the only source of power they have is battery, so first check the remaining battery power of node whose power is higher choose that, then check the mobility of the nodes whose mobility is less select that, and then select the node whose transmission power is higher. By checking all these parameters, get the node which is most efficient to become cluster head.
Classification Rule Mining Based on Ant Colony Optimization

Classification rule mining is an important function of data mining, and is applied in many data analysis tasks. The classification rule mining algorithm based-on ant colony optimization (ACO) is researched in this paper. Some improvements are implemented based on existing research to enhance classification predictive accuracy and simplicity of rules. Ant-based algorithms or ant colony optimization (ACO) algorithms have been applied successfully to combinatorial optimization problems. The algorithm is realized under the GALIB247 tool.
A NOVEL DOUBLE ENCODING SCHEME FOR LOW DISTORTION ADAPTIVE REVERSIBLE WATERMARKING

-This paper proposes a low-distortion transform for prediction-error expansion reversible watermarking. The transform is derived by taking a simple linear predictor and by embedding the expanded prediction error not only into the present pixel as well as into its expectation setting. The inserting guarantees the minimization of the square error introduced by the watermarking. The proposed transform introduces less mutilation than the established forecast error development for complex indicators, for example, median edge detector or the gradient-adjusted predictor. Reversible watermarking algorithms dependent on the proposed transform is to be examined. Experimental results are given.